[NOTE: 2026-07-31: Data files added, see README file for descriptions]
Trapping in 2023 with a linear set of dosages of (E)-8-dodecenyl acetate
Field trapping was done according to the methodology in Ruiz et al. 2022. The fields were located in North-Central Kansas at the Land Institute near Salina, KS. No pesticides were applied to these fields during the experiment in 2023. Starting the first week of June, six transects were set out, two in each Silphium integrifolium field. Each transect contained seven 30.4 cm x 30.4 cm sticky card traps (Alpha Scents, Canby, OR, USA) affixed to the top of a 1.27 cm diameter, three foot in length PVC pole that was hammered into the ground until sturdy. The cards were affixed using a 271 cm long sticky card ring holder (Olson Products Inc., Medina, OH, USA) that was bent to a 90\u00b0 angle and placed inside the PVC pipe. Two large binder clips were also used to anchor the sticky card to its card holder.
The sticky traps in each transect were spaced 10 meters apart around the perimeter of the field. Within each transect, traps were baited with a linear increase in concentrations in 2023, including either a control (50 \u00b5l of acetone), a low concentration (50 \u00b5l of a solution made by mixing 5.75 \u00b5l of (E)-8-dodecenyl acetate in 5 ml of acetone), or a doubled concentration (11.5 \u00b5l of (E)-8-dodecenyl acetate diluted in 5 ml of acetone) of (E)-8-dodecenyl acetate (Alfa Chemistry, Ronkonkoma, NY, USA). All lures were added to a 3-ml LDPE dropping bottle (Wheaton, DWK Life Sciences, Millville, NJ, USA). The clear sticky card traps were collected and replaced biweekly until the first E. giganteana adult was caught, then traps were changed weekly. The lures and control bottles were replaced once every two weeks (with lure emissions confirmed out to 14 d in Ruiz et al. 2022) and their position in the field rotated at each change. Each lure was in each position twice over the course of the season.
When collected, the sticky cards were held in a 7.6 L (=2 gal) labeled Ziploc\u00a9 bag transported back to USDA-ARS. All collected sticky traps were placed in a freezer for approximately 24 h. The total number of E. giganteana per trap and their distance from the lure in millimeters was recorded. In addition, the number of nontarget lepidoptera was recorded on each trap. Individual E. giganteana and non-target lepidoptera were only counted if more than half of the specimen was remaining on the sticky trap at the time of counting to ensure positive identification.
Trapping in 2024 with an exponential set of concentrations of (E)-8-dodecenyl acetate
Field trapping in 2024 was conducted similarly to that in 2023 with the following modifications. Three different fields located at the Land Institute were used (Table 1). [HS1] Pesticides were applied once to one of the fields and adjacent to one of the others. Three transects were deployed in each of the three fields. Each transect contained four traps for a total of 36 traps. The traps were assembled similarly to those used in 2023, but a hand-made sticky card was used instead of a manufactured one to improve captures. These sticky cards were made of a laminated 21.6 \u00d7 27.9 cm (=8.5 by 11 in) piece of white cardstock paper (Astrobright, Neenah, WI, USA) coated on both sides with TAD\u24c7 all-weather adhesive (Tr\u00e9c\u00e9 Adhesives Division, Adair, OK, USA). The sticky sides were covered with wax paper for ease of travel. Additionally, the sticky cards had a chicken wire cage placed over them in the field to try to prevent the capture of birds and other nontargets on the traps. Traps in 2024 were baited with an exponential set of concentrations of (E)-8-dodecenyl acetate. In each transect, there was a solvent only control (50 \u00b5l of acetone), a low concentration equivalent to the 2023 treatment (50 \u00b5l of a solution made of 5.75 \u00b5l of (E)-8-dodecenyl acetate diluted in 5 ml of acetone), a medium concentration (50 \u00b5l of a solution made of 78.5 \u00b5l of (E)-8-dodecenyl acetate diluted in 5 ml of acetone), and a high concentration (50 \u00b5l of a solution made of 580.4 \u00b5l of (E)-8-dodecenyl acetate diluted in 5 ml of acetone). The traps were replaced weekly, and the lures were replaced biweekly, as well as rotated positions in the transect. Each lure was in each position twice over the course of the season.
Eucosma giganteana and Silphium integrifolium collections from the field
Eucosma giganteana cannot yet be reared successfully in the laboratory, thus we sourced all specimens from the field. Adult E. giganteana individuals were carefully captured by hand in one of the fields planted to Silphium integrifolium at the Land Institute (38.769622, -97.598576) between 22:00 and 24:00 five times a week from June to August 2024. Moths were immediately sexed and individually placed in small deli cups with appropriate labels. They were brought back to the USDA-ARS Center for Grain and Animal Health (39.1955486, -96.5987334) for the experiments described below. Once in the lab but prior to use in experiments, moths were kept in a quiet environment at approximately 23 \u00b1 0.1\u2103 and 16:8 L:D photoperiod. Importantly, no lures were used to capture insects to avoid biasing the results of the experiments below. Silphium integrifolium flower heads were cut 1 cm below the flower and brought back on a weekly basis during the same timeframe and stored at 4\u00b0C until needed for experiments. Flower heads were never more than 4 days old prior to use.
Headspace Characterization
Headspace was collected from the following treatments: 10 E. giganteana male moths only, 10 E. giganteana female moths only, an even mix of male and female moths (5:5), flower cuttings of S. integrifolium, and a blank control. For the E. giganteana treatments, only alive, healthy adult moths that were collected within five days were used. For the S. integrifolium collections, approximately 25 grams of flower heads cut the same week as collections were used.
For each treatment, E. giganteana or S. integrifolium were placed in a clean 100-mL beaker. To prevent moth escapees, a metal mesh top was constructed and affixed to the opening of the beaker. The beaker was then placed in one of eight 500-mL glass headspace collection containers with a PTFE septum and lid. A Pora-Pak Q volatile collection trap (VCT) was inserted in the output end. The VCT consisted of an angled drip-tip collection point borosilicate glass tube with a mesh (Stainless Steel #316 screen), packed with 20 mg of PoraPak-Q\u2122 chemical absorbent held in place with a borosilicate glass wool plug, and followed by a PTFE Teflon\u2122 compression seal. A PTFE tube spanned from the flow meter (CADS-4CPP, Clean Air Delivery System, Sigma Scientific, LLC, Micanopy, FL, USA) to the input end of the headspace container at a flow rate of 1 L/min. Prior to that, the air was scrubbed with an activated carbon filter and was pumped in using the central air pump for the center. Samples ran for 24 h. Each volatile collection trap was collected and eluted with 150 \u00b5l of dichloromethane in a fume hood into a 2-mL GC vial containing a 250 \u00b5l glass insert with polymer feet. The solvent was gently pushed through the volatile collection trap with N2 gas. At the end of collecting all the samples, 1 \u00b5l of an internal standard, tetradecane (190.5 ng), was added to each of the samples. The samples were then all capped with a magnetic screw top lid and secured with PTFE tape before being placed in a freezer at -20 \u2103 until they could be run. All headspace samples were collected within 5 weeks. After each replication, the headspace collection containers were all washed with methanol and then hexane. VCTs were rinsed in triplicate with dichloromethane. A total of at least n = 5 replicates were tested for each treatment.
Gas Chromatography Coupled with Mass Spectrometry
All headspace collection sample extracts were run on an Agilent 7890B gas chromatograph (GC) equipped with an Agilent Durabond HP-5 column (30 m length, 0.250 mm diameter and 0.25 \u03bcm film thickness) with He as the carrier gas at a constant 1.2 mL/min flow and 40 cm/s velocity. The GC was coupled with a single-quadrupole Agilent 5997B mass spectrometer (MS). The compounds were separated by auto-injecting 1 \u03bcl of each sample under splitless into the GC\u2013MS at room temperature (approximately 23 \u00b0C). The flow rate was 18 ml/min. The GC program consisted of 40 \u00b0C for 1 min followed by 10 \u00b0C/min increases to 300 \u00b0C and then held for 26.5 min. After a solvent delay of 3 min, mass ranges between 50 and 550 atomic mass units were scanned. Compounds were tentatively identified by comparison of spectral data with those from the NIST 14 library and by GC retention index. The samples were normalized according to the following formula: (Pksam \u2013 Pkmin)/(Pkmax \u2013 Pkmin), where Pksam is the peak area from the sample, Pkmin is the global minimum peak area, and Pkmax is the global max peak area.
Electroantennography of E. giganteana
All electroantennogram (EAG) recordings of E. giganteana were taken from 19:00 to 23:00 which corresponded to the peak activity period of E. giganteana based on prior literature (Ruiz et al. 2022). Prior to recordings, the machine and software were powered on and given 30 min to warm up. Only field-captured moths within ...","distribution":[{"@type":"dcat:Distribution","downloadURL":"https://ndownloader.figshare.com/files/51279737","format":"csv","mediaType":"text/csv","title":"scribner_headspace_volatiles_eucosma_2024.csv"},{"@type":"dcat:Distribution","downloadURL":"https://ndownloader.figshare.com/files/51279740","format":"csv","mediaType":"text/csv","title":"Eucosma_EAD .csv"},{"@type":"dcat:Distribution","downloadURL":"https://ndownloader.figshare.com/files/51279743","format":"csv","mediaType":"text/csv","title":"Combined flight mill data1.csv"},{"@type":"dcat:Distribution","downloadURL":"https://ndownloader.figshare.com/files/51279749","format":"csv","mediaType":"text/csv","title":"Trapping_combined2024.csv"},{"@type":"dcat:Distribution","downloadURL":"https://ndownloader.figshare.com/files/66814319","format":"csv","mediaType":"text/csv","title":"beta_myrcene_NIST_mass_spectra.csv"},{"@type":"dcat:Distribution","downloadURL":"https://ndownloader.figshare.com/files/66814322","format":"csv","mediaType":"text/csv","title":"beta_myrcene_silphium_sample.csv"},{"@type":"dcat:Distribution","downloadURL":"https://ndownloader.figshare.com/files/66814325","format":"csv","mediaType":"text/csv","title":"beta_myrcene_std_sample.csv"},{"@type":"dcat:Distribution","downloadURL":"https://ndownloader.figshare.com/files/66814328","format":"csv","mediaType":"text/csv","title":"beta_phellandrene_NIST_mass_spectra.csv"},{"@type":"dcat:Distribution","downloadURL":"https://ndownloader.figshare.com/files/66814331","format":"csv","mediaType":"text/csv","title":"beta_phellandrene_sample_silphium.csv"},{"@type":"dcat:Distribution","downloadURL":"https://ndownloader.figshare.com/files/66814334","format":"csv","mediaType":"text/csv","title":"beta_phellandrene_std_sample.csv"},{"@type":"dcat:Distribution","downloadURL":"https://ndownloader.figshare.com/files/66814337","format":"csv","mediaType":"text/csv","title":"beta_pinene_NIST_extracted_mass_spectrum.csv"},{"@type":"dcat:Distribution","downloadURL":"https://ndownloader.figshare.com/files/66814340","format":"csv","mediaType":"text/csv","title":"beta_pinene_sample_silphium.csv"},{"@type":"dcat:Distribution","downloadURL":"https://ndownloader.figshare.com/files/66814343","format":"csv","mediaType":"text/csv","title":"beta_pinene_std_sample.csv"},{"@type":"dcat:Distribution","downloadURL":"https://ndownloader.figshare.com/files/66814346","format":"csv","mediaType":"text/csv","title":"camphene_in_silphium_sample_mass_spectrum.csv"},{"@type":"dcat:Distribution","downloadURL":"https://ndownloader.figshare.com/files/66814349","format":"csv","mediaType":"text/csv","title":"camphene_NIST_mass_spectra.csv"},{"@type":"dcat:Distribution","downloadURL":"https://ndownloader.figshare.com/files/66814352","format":"csv","mediaType":"text/csv","title":"camphene_standard_sample.csv"},{"@type":"dcat:Distribution","downloadURL":"https://ndownloader.figshare.com/files/66814355","format":"csv","mediaType":"text/csv","title":"D_limonene_NIST_mass_spectra.csv"},{"@type":"dcat:Distribution","downloadURL":"https://ndownloader.figshare.com/files/66814358","format":"csv","mediaType":"text/csv","title":"D_limonene_silphium_sample.csv"},{"@type":"dcat:Distribution","downloadURL":"https://ndownloader.figshare.com/files/66814361","format":"csv","mediaType":"text/csv","title":"D_limonene_std_sample.csv"},{"@type":"dcat:Distribution","downloadURL":"https://ndownloader.figshare.com/files/66814364","format":"R","mediaType":"text/plain","title":"Hazel Amalgamated Script.R"},{"@type":"dcat:Distribution","downloadURL":"https://ndownloader.figshare.com/files/66814367","format":"docx","mediaType":"application/vnd.openxmlformats-officedocument.wordprocessingml.document","title":"README Scribner et al.docx"}],"identifier":"10.15482/USDA.ADC/28055111.v2","keyword":["ars","attract-and-kill","behavior","behavioral ecology","behaviorally-based management","cgahr","cup plant","eag","eucosma giganteana","flight mill","giant eucosma moth","insect behavior","insect flight","integrated pest management","kansas","lepidoptera","manhattan, ks","mating disruption","monitoring","pest","physiology","prairie","semiochemicals","silphium","silphium integrifolium","the land institute","tortricidae","trapping","usda"],"license":"https://creativecommons.org/publicdomain/zero/1.0/","modified":"2026-07-31","programCode":["005:040"],"publisher":{"@type":"org:Organization","name":"Agricultural Research Service"},"temporal":"2023-05-01/2024-10-01","title":"Data from: Behavioral and physiological response of Eucosma giganteana to semiochemicals from conspecifics and Silphium integrifolium"},"description":"
[NOTE: 2026-07-31: Data files added, see README file for descriptions]
Trapping in 2023 with a linear set of dosages of (E)-8-dodecenyl acetate
Field trapping was done according to the methodology in Ruiz et al. 2022. The fields were located in North-Central Kansas at the Land Institute near Salina, KS. No pesticides were applied to these fields during the experiment in 2023. Starting the first week of June, six transects were set out, two in each Silphium integrifolium field. Each transect contained seven 30.4 cm x 30.4 cm sticky card traps (Alpha Scents, Canby, OR, USA) affixed to the top of a 1.27 cm diameter, three foot in length PVC pole that was hammered into the ground until sturdy. The cards were affixed using a 271 cm long sticky card ring holder (Olson Products Inc., Medina, OH, USA) that was bent to a 90\u00b0 angle and placed inside the PVC pipe. Two large binder clips were also used to anchor the sticky card to its card holder.
The sticky traps in each transect were spaced 10 meters apart around the perimeter of the field. Within each transect, traps were baited with a linear increase in concentrations in 2023, including either a control (50 \u00b5l of acetone), a low concentration (50 \u00b5l of a solution made by mixing 5.75 \u00b5l of (E)-8-dodecenyl acetate in 5 ml of acetone), or a doubled concentration (11.5 \u00b5l of (E)-8-dodecenyl acetate diluted in 5 ml of acetone) of (E)-8-dodecenyl acetate (Alfa Chemistry, Ronkonkoma, NY, USA). All lures were added to a 3-ml LDPE dropping bottle (Wheaton, DWK Life Sciences, Millville, NJ, USA). The clear sticky card traps were collected and replaced biweekly until the first E. giganteana adult was caught, then traps were changed weekly. The lures and control bottles were replaced once every two weeks (with lure emissions confirmed out to 14 d in Ruiz et al. 2022) and their position in the field rotated at each change. Each lure was in each position twice over the course of the season.
When collected, the sticky cards were held in a 7.6 L (=2 gal) labeled Ziploc\u00a9 bag transported back to USDA-ARS. All collected sticky traps were placed in a freezer for approximately 24 h. The total number of E. giganteana per trap and their distance from the lure in millimeters was recorded. In addition, the number of nontarget lepidoptera was recorded on each trap. Individual E. giganteana and non-target lepidoptera were only counted if more than half of the specimen was remaining on the sticky trap at the time of counting to ensure positive identification.
Trapping in 2024 with an exponential set of concentrations of (E)-8-dodecenyl acetate
Field trapping in 2024 was conducted similarly to that in 2023 with the following modifications. Three different fields located at the Land Institute were used (Table 1). [HS1] Pesticides were applied once to one of the fields and adjacent to one of the others. Three transects were deployed in each of the three fields. Each transect contained four traps for a total of 36 traps. The traps were assembled similarly to those used in 2023, but a hand-made sticky card was used instead of a manufactured one to improve captures. These sticky cards were made of a laminated 21.6 \u00d7 27.9 cm (=8.5 by 11 in) piece of white cardstock paper (Astrobright, Neenah, WI, USA) coated on both sides with TAD\u24c7 all-weather adhesive (Tr\u00e9c\u00e9 Adhesives Division, Adair, OK, USA). The sticky sides were covered with wax paper for ease of travel. Additionally, the sticky cards had a chicken wire cage placed over them in the field to try to prevent the capture of birds and other nontargets on the traps. Traps in 2024 were baited with an exponential set of concentrations of (E)-8-dodecenyl acetate. In each transect, there was a solvent only control (50 \u00b5l of acetone), a low concentration equivalent to the 2023 treatment (50 \u00b5l of a solution made of 5.75 \u00b5l of (E)-8-dodecenyl acetate diluted in 5 ml of acetone), a medium concentration (50 \u00b5l of a solution made of 78.5 \u00b5l of (E)-8-dodecenyl acetate diluted in 5 ml of acetone), and a high concentration (50 \u00b5l of a solution made of 580.4 \u00b5l of (E)-8-dodecenyl acetate diluted in 5 ml of acetone). The traps were replaced weekly, and the lures were replaced biweekly, as well as rotated positions in the transect. Each lure was in each position twice over the course of the season.
Eucosma giganteana and Silphium integrifolium collections from the field
Eucosma giganteana cannot yet be reared successfully in the laboratory, thus we sourced all specimens from the field. Adult E. giganteana individuals were carefully captured by hand in one of the fields planted to Silphium integrifolium at the Land Institute (38.769622, -97.598576) between 22:00 and 24:00 five times a week from June to August 2024. Moths were immediately sexed and individually placed in small deli cups with appropriate labels. They were brought back to the USDA-ARS Center for Grain and Animal Health (39.1955486, -96.5987334) for the experiments described below. Once in the lab but prior to use in experiments, moths were kept in a quiet environment at approximately 23 \u00b1 0.1\u2103 and 16:8 L:D photoperiod. Importantly, no lures were used to capture insects to avoid biasing the results of the experiments below. Silphium integrifolium flower heads were cut 1 cm below the flower and brought back on a weekly basis during the same timeframe and stored at 4\u00b0C until needed for experiments. Flower heads were never more than 4 days old prior to use.
Headspace Characterization
Headspace was collected from the following treatments: 10 E. giganteana male moths only, 10 E. giganteana female moths only, an even mix of male and female moths (5:5), flower cuttings of S. integrifolium, and a blank control. For the E. giganteana treatments, only alive, healthy adult moths that were collected within five days were used. For the S. integrifolium collections, approximately 25 grams of flower heads cut the same week as collections were used.
For each treatment, E. giganteana or S. integrifolium were placed in a clean 100-mL beaker. To prevent moth escapees, a metal mesh top was constructed and affixed to the opening of the beaker. The beaker was then placed in one of eight 500-mL glass headspace collection containers with a PTFE septum and lid. A Pora-Pak Q volatile collection trap (VCT) was inserted in the output end. The VCT consisted of an angled drip-tip collection point borosilicate glass tube with a mesh (Stainless Steel #316 screen), packed with 20 mg of PoraPak-Q\u2122 chemical absorbent held in place with a borosilicate glass wool plug, and followed by a PTFE Teflon\u2122 compression seal. A PTFE tube spanned from the flow meter (CADS-4CPP, Clean Air Delivery System, Sigma Scientific, LLC, Micanopy, FL, USA) to the input end of the headspace container at a flow rate of 1 L/min. Prior to that, the air was scrubbed with an activated carbon filter and was pumped in using the central air pump for the center. Samples ran for 24 h. Each volatile collection trap was collected and eluted with 150 \u00b5l of dichloromethane in a fume hood into a 2-mL GC vial containing a 250 \u00b5l glass insert with polymer feet. The solvent was gently pushed through the volatile collection trap with N2 gas. At the end of collecting all the samples, 1 \u00b5l of an internal standard, tetradecane (190.5 ng), was added to each of the samples. The samples were then all capped with a magnetic screw top lid and secured with PTFE tape before being placed in a freezer at -20 \u2103 until they could be run. All headspace samples were collected within 5 weeks. After each replication, the headspace collection containers were all washed with methanol and then hexane. VCTs were rinsed in triplicate with dichloromethane. A total of at least n = 5 replicates were tested for each treatment.
Gas Chromatography Coupled with Mass Spectrometry
All headspace collection sample extracts were run on an Agilent 7890B gas chromatograph (GC) equipped with an Agilent Durabond HP-5 column (30 m length, 0.250 mm diameter and 0.25 \u03bcm film thickness) with He as the carrier gas at a constant 1.2 mL/min flow and 40 cm/s velocity. The GC was coupled with a single-quadrupole Agilent 5997B mass spectrometer (MS). The compounds were separated by auto-injecting 1 \u03bcl of each sample under splitless into the GC\u2013MS at room temperature (approximately 23 \u00b0C). The flow rate was 18 ml/min. The GC program consisted of 40 \u00b0C for 1 min followed by 10 \u00b0C/min increases to 300 \u00b0C and then held for 26.5 min. After a solvent delay of 3 min, mass ranges between 50 and 550 atomic mass units were scanned. Compounds were tentatively identified by comparison of spectral data with those from the NIST 14 library and by GC retention index. The samples were normalized according to the following formula: (Pksam \u2013 Pkmin)/(Pkmax \u2013 Pkmin), where Pksam is the peak area from the sample, Pkmin is the global minimum peak area, and Pkmax is the global max peak area.
Electroantennography of E. giganteana
All electroantennogram (EAG) recordings of E. giganteana were taken from 19:00 to 23:00 which corresponded to the peak activity period of E. giganteana based on prior literature (Ruiz et al. 2022). Prior to recordings, the machine and software were powered on and given 30 min to warm up. Only field-captured moths within ...","distribution_titles":["scribner_headspace_volatiles_eucosma_2024.csv","Eucosma_EAD .csv","Combined flight mill data1.csv","Trapping_combined2024.csv","beta_myrcene_NIST_mass_spectra.csv","beta_myrcene_silphium_sample.csv","beta_myrcene_std_sample.csv","beta_phellandrene_NIST_mass_spectra.csv","beta_phellandrene_sample_silphium.csv","beta_phellandrene_std_sample.csv","beta_pinene_NIST_extracted_mass_spectrum.csv","beta_pinene_sample_silphium.csv","beta_pinene_std_sample.csv","camphene_in_silphium_sample_mass_spectrum.csv","camphene_NIST_mass_spectra.csv","camphene_standard_sample.csv","D_limonene_NIST_mass_spectra.csv","D_limonene_silphium_sample.csv","D_limonene_std_sample.csv","Hazel Amalgamated Script.R","README Scribner et al.docx"],"harvest_record":"https://catalog.data.gov/harvest_record/4194b55a-32ce-4785-8de6-4ea832ad9600","harvest_record_raw":"https://catalog.data.gov/harvest_record/4194b55a-32ce-4785-8de6-4ea832ad9600/raw","has_download":true,"has_spatial":false,"identifier":"10.15482/USDA.ADC/28055111.v2","keyword":["ars","attract-and-kill","behavior","behavioral ecology","behaviorally-based management","cgahr","cup plant","eag","eucosma giganteana","flight mill","giant eucosma moth","insect behavior","insect flight","integrated pest management","kansas","lepidoptera","manhattan, ks","mating disruption","monitoring","pest","physiology","prairie","semiochemicals","silphium","silphium integrifolium","the land institute","tortricidae","trapping","usda"],"last_harvested_date":"2026-09-30T21:32:30.747498","organization":{"aliases":["dept"],"code_repo_exempt":false,"code_repo_url":null,"description":null,"id":"352b4532-793d-4075-a03f-05b778a3c43a","logo":"https://raw.githubusercontent.com/GSA/logo/refs/heads/master/usda.png","name":"Department of Agriculture","organization_type":"Federal Government","slug":"usda"},"parent_identifier":null,"popularity":2,"publisher":"Agricultural Research Service","slug":"data-from-behavioral-and-physiological-response-of-ieucosma-giganteana-ito-semiochemicals-","spatial_centroid":null,"spatial_shape":null,"theme":[],"title":"Data from: Behavioral and physiological response of Eucosma giganteana to semiochemicals from conspecifics and Silphium integrifolium","type":"dataset"},{"_score":22.1837,"_sort":[1790803943637,22.1837,2,"b3cf9167-f268-4272-bdbd-923521cfe697"],"dcat":{"@type":"dcat:Dataset","accessLevel":"public","bureauCode":["005:18"],"contactPoint":{"fn":"Schneider, Sharon, K.","hasEmail":"mailto:sharon.schneider@usda.gov"},"description":"
These data provide field measurements at two geographical sites of plant and soil as affected by (a) tillage and water erosion and (b) replacement of translocated topsoil through soil-landscape rehabilitation. Data include pre-restoration soil properties, a digital elevation model, and tillage and water erosion estimates. Data reported after restoration include annual assessments of crop emergence, biomass and grain yield; soil physical, chemical, and biological properties; weed communities; and weather information. The Stevens County, Minnesota site was a heavily eroded site while the Roberts County, South Dakota site was moderately eroded. The data can be used to develop agronomic best management practices to improve crop production and to protect environmental and soil health. The data also could contribute to meta-analyses describing effects of erosion and soil-landscape rehabilitation (translocating soil from areas of net deposition to areas of net soil loss by erosion) on crop performance and changes in soil properties.
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EPA Category: Mission Sensitive, NARA Category: Critical Infrastructure.","distribution":[{"@type":"dcat:Distribution","describedByType":"application/octet-stream","downloadURL":"https://v18ovhrtay724.aa.ad.epa.gov/FRS/downloads/ESF10.gdb.zip","format":"ZIP","mediaType":"application/zip","title":"Zipped File Geodatabase (Accessible on the EPA Intranet only)"},{"@type":"dcat:Distribution","accessURL":"https://igeo.epa.gov/arcgis/rest/services/OEI/FRS_ESF10/MapServer","describedByType":"application/octet-stream","mediaType":"text/html","title":"ArcGIS Server Map Services (Accessible on the EPA Intranet only)"}],"identifier":"https://edg.epa.gov/WAFer_harvest/ISO/frs-internet_FRS_ER_CHEMICALS_metadata.xml","isPartOf":"EPA Facility Registry Service Collection","issued":"2016-06-29T00:00:00.000+00:00","keyword":["Alaska","Puerto Rico","United States","Washington DC","American Samoa","Virgin Islands","Facilities","Permits","Contaminant","Compliance","Regulatory","Cleanup","Environment","Air","ESF10","ESF3"],"language":[],"license":"https://creativecommons.org/publicdomain/zero/1.0/","modified":"2026-09-29T09:24:07.000+00:00","publisher":{"@type":"org:Organization","name":"U.S. Environmental Protection Agency, Headquarters"},"spatial":"-12.68151645,6.65223303,-138.21454852,61.7110157","theme":["geospatial"],"title":"EPA Facility Registry Service (FRS): ER_CHEMICALS"},"description":"To improve public health and the environment, the United States Environmental Protection Agency (USEPA) collects information about facilities, sites, or places subject to environmental regulation or of environmental interest. 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EPA administers the Superfund program in cooperation with individual states and tribal governmentsFRS integrates facility data from EPA's national program systems, other federal agencies, and State and tribal master facility records and provides EPA with a centrally managed, single source of comprehensive and authoritative information on facilities. This data set contains the subset of FRS integrated facilities that link to CERCLIS non-NPL facilities once the CERCLIS data has been integrated into the FRS database. Additional information on FRS is available at the EPA website https://www.epa.gov/enviro/facility-registry-service-frs. These data are considered sensitive and are restricted to internal use only. The download file and map service are accessible only on the EPA intranet. 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Superfund is a program administered by the EPA to locate, investigate, and clean up the worst hazardous waste sites throughout the United States. Before Superfund, Americans were less aware of how dumping chemical wastes might affect public health and the environment. Hazardous wastes were often left in the open, where they seeped into the ground, flowed into rivers and lakes, and contaminated soil and groundwater. Consequently, where these practices were intensive or continuous, there were uncontrolled or abandoned hazardous waste sites. These sites include abandoned warehouses, manufacturing facilities, processing plants, and landfills. Citizen concern about the extent of this problem prompted Congress in 1980 to establish the Superfund Program to eliminate the health and environmental threats posed by hazardous waste sites. EPA administers the Superfund program in cooperation with individual states and tribal governmentsFRS integrates facility data from EPA's national program systems, other federal agencies, and State and tribal master facility records and provides EPA with a centrally managed, single source of comprehensive and authoritative information on facilities. This data set contains the subset of FRS integrated facilities that link to CERCLIS non-NPL facilities once the CERCLIS data has been integrated into the FRS database. Additional information on FRS is available at the EPA website https://www.epa.gov/enviro/facility-registry-service-frs. These data are considered sensitive and are restricted to internal use only. The download file and map service are accessible only on the EPA intranet. 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The department permits and inspects these facilities,\nand responds to citizen complaints. In the event of disease outbreak, the\ndepartment investigates to determine the source of the infection, and prevent\nfurther illness.\n\nThis dataset captures the restaurants that are\ninspected.\u00a0 The data set is geocoded\nbased on address with approximately 85% of the locations having a valid\ngeo-location.\u00a0
\n\nYou can find out additional information about our restaurant\ninspections on our website:\u00a0 Food Safety and Sanitation
\n\nThis table captures all Wake County sanitation\ninspections from September 20, 2012 to Present.
\n\n
This table is part of a set of data that combined will give\nyou a picture of all restaurant inspections.\u00a0\nThose three tables are:
\n\n1.\u00a0\u00a0\u00a0\u00a0 Restaurants:\nThis table captures all active facilities\nwhere Wake County performs sanitations inspections.\u00a0 Facilities that are closed are removed from\nall three files in this dataset.\u00a0 Per NC\nState regulations, facilities that have a change in ownership are considered\nclosed and the restaurant re-opens under a new permit, even if there is not a change\nin the name of the restaurant.
\n\n2.\u00a0\u00a0\u00a0\u00a0 Food Inspections:\nThis table captures all Wake County\nperforms sanitations inspections at active restaurants since September 20, 2012
\n\n3.\u00a0\u00a0\u00a0\u00a0 Food Inspection Violations:\nThis table captures all violations\nidentified during specific Wake County sanitations inspections at active\nrestaurants since September 20, 2012.\u00a0 It\nreports the results in code violations and according to CDC Risk Factors.\u00a0 You can find additional information\nabout the CDC Risk Factors on the FDA website: Retail Risk Factor\nStudy
\n\n\u00a0
\n\nThe tables can be connected through the HSISID\nfield.\u00a0
\n\n\n\nThe frequency of facility inspections fall under\nthe following rules:
\n\nInspected once per year:
\n\nRisk Category I applies to food service\nestablishments that prepare only non-potentially hazardous foods.
Inspected twice per year:
\n\nRisk Category II applies to food service\nestablishments that cook and cool no more than two potentially hazardous foods.\nPotentially hazardous raw ingredients shall be received in a ready-to-cook\nform.
Inspected three times per year
\n\nRisk Category III applies to food service\nestablishments that cook and cool no more than three potentially hazardous\nfoods.
Inspected four times per year
\n\nRisk Category IV applies to\nfood service establishments that cook and cool an unlimited number of\npotentially hazardous foods. This category also includes those facilities using\nspecialized processes or serving a highly susceptible population.
| \n \u00a0 \n \n \nField \n | \n \n Description \n | \n
| \n HSISID \n | \n \n State code identifying the\n restaurant (also the primary key to identify the restaurant) \n | \n
| \n Score \n | \n \n Final score for this inspection \n | \n
| \n Date \n | \n \n Date of inspection \n | \n
| \n Description \n | \n \n General comments not that may or\n may not be tied to a inspection question \n | \n
| \n Type \n | \n \n Type of inspection: Inspection, Re-inspection,\n Visit \n | \n
| \n PermitID \n | \n \n Deprecated. No longer provided. \n | \n
This dataset captures the restaurants that are\ninspected.\u00a0 The data set is geocoded\nbased on address with approximately 85% of the locations having a valid\ngeo-location.\u00a0
\n\nYou can find out additional information about our restaurant\ninspections on our website:\u00a0 Food Safety and Sanitation
\n\nThis table captures all Wake County sanitation\ninspections from September 20, 2012 to Present.
\n\n
This table is part of a set of data that combined will give\nyou a picture of all restaurant inspections.\u00a0\nThose three tables are:
\n\n1.\u00a0\u00a0\u00a0\u00a0 Restaurants:\nThis table captures all active facilities\nwhere Wake County performs sanitations inspections.\u00a0 Facilities that are closed are removed from\nall three files in this dataset.\u00a0 Per NC\nState regulations, facilities that have a change in ownership are considered\nclosed and the restaurant re-opens under a new permit, even if there is not a change\nin the name of the restaurant.
\n\n2.\u00a0\u00a0\u00a0\u00a0 Food Inspections:\nThis table captures all Wake County\nperforms sanitations inspections at active restaurants since September 20, 2012
\n\n3.\u00a0\u00a0\u00a0\u00a0 Food Inspection Violations:\nThis table captures all violations\nidentified during specific Wake County sanitations inspections at active\nrestaurants since September 20, 2012.\u00a0 It\nreports the results in code violations and according to CDC Risk Factors.\u00a0 You can find additional information\nabout the CDC Risk Factors on the FDA website: Retail Risk Factor\nStudy
\n\n\u00a0
\n\nThe tables can be connected through the HSISID\nfield.\u00a0
\n\n\n\nThe frequency of facility inspections fall under\nthe following rules:
\n\nInspected once per year:
\n\nRisk Category I applies to food service\nestablishments that prepare only non-potentially hazardous foods.
Inspected twice per year:
\n\nRisk Category II applies to food service\nestablishments that cook and cool no more than two potentially hazardous foods.\nPotentially hazardous raw ingredients shall be received in a ready-to-cook\nform.
Inspected three times per year
\n\nRisk Category III applies to food service\nestablishments that cook and cool no more than three potentially hazardous\nfoods.
Inspected four times per year
\n\nRisk Category IV applies to\nfood service establishments that cook and cool an unlimited number of\npotentially hazardous foods. This category also includes those facilities using\nspecialized processes or serving a highly susceptible population.
| \n \u00a0 \n \n \nField \n | \n \n Description \n | \n
| \n HSISID \n | \n \n State code identifying the\n restaurant (also the primary key to identify the restaurant) \n | \n
| \n Score \n | \n \n Final score for this inspection \n | \n
| \n Date \n | \n \n Date of inspection \n | \n
| \n Description \n | \n \n General comments not that may or\n may not be tied to a inspection question \n | \n
| \n Type \n | \n \n Type of inspection: Inspection, Re-inspection,\n Visit \n | \n
| \n PermitID \n | \n \n Deprecated. No longer provided. \n | \n
This dataset captures the restaurants that are inspected. The data set is geocoded based on address with approximately 85% of the locations having a valid geo-location.
You can find out additional information about our restaurant inspections on our website: Food Safety and Sanitation
This table captures all Wake County sanitation inspections from September 20, 2012 to Present.
This table is part of a set of data that combined will give you a picture of all restaurant inspections. Those three tables are:
1. Restaurants: This table captures all active facilities where Wake County performs sanitations inspections. Facilities that are closed are removed from all three files in this dataset. Per NC State regulations, facilities that have a change in ownership are considered closed and the restaurant re-opens under a new permit, even if there is not a change in the name of the restaurant.
2. Food Inspections: This table captures all Wake County performs sanitations inspections at active restaurants since September 20, 2012
3. Food Inspection Violations: This table captures all violations identified during specific Wake County sanitations inspections at active restaurants since September 20, 2012. It reports the results in code violations and according to CDC Risk Factors. You can find additional information about the CDC Risk Factors on the FDA website: Retail Risk Factor Study
The tables can be connected through the HSISID field.
The frequency of facility inspections fall under the following rules:
Inspected once per year:
Risk Category I applies to food service establishments that prepare only non-potentially hazardous foods.
Inspected twice per year:
Risk Category II applies to food service establishments that cook and cool no more than two potentially hazardous foods. Potentially hazardous raw ingredients shall be received in a ready-to-cook form.
Inspected three times per year
Risk Category III applies to food service establishments that cook and cool no more than three potentially hazardous foods.
Inspected four times per year
Risk Category IV applies to food service establishments that cook and cool an unlimited number of potentially hazardous foods. This category also includes those facilities using specialized processes or serving a highly susceptible population.
Field Descriptions are available here.
","distribution":[{"@type":"dcat:Distribution","accessURL":"https://data-wake.opendata.arcgis.com/api/download/v1/items/9b04d0c39abd4e049cbd4656a0a04ba3/csv?layers=2","format":"CSV","mediaType":"text/csv","title":"CSV"},{"@type":"dcat:Distribution","accessURL":"https://data-wake.opendata.arcgis.com/api/download/v1/items/9b04d0c39abd4e049cbd4656a0a04ba3/geojson?layers=2","format":"GeoJSON","mediaType":"application/vnd.geo+json","title":"GeoJSON"},{"@type":"dcat:Distribution","accessURL":"https://data-wake.opendata.arcgis.com/api/download/v1/items/9b04d0c39abd4e049cbd4656a0a04ba3/kml?layers=2","format":"KML","mediaType":"application/vnd.google-earth.kml+xml","title":"KML"},{"@type":"dcat:Distribution","accessURL":"https://data-wake.opendata.arcgis.com/api/download/v1/items/9b04d0c39abd4e049cbd4656a0a04ba3/shapefile?layers=2","format":"ZIP","mediaType":"application/zip","title":"Shapefile"},{"@type":"dcat:Distribution","accessURL":"https://data-wake.opendata.arcgis.com/datasets/Wake::food-inspection-violations","format":"Web Page","mediaType":"text/html","title":"ArcGIS Hub Dataset"},{"@type":"dcat:Distribution","accessURL":"https://maps.wake.gov/arcgis/rest/services/Inspections/RestaurantInspectionsOpenData/MapServer/2","format":"ArcGIS GeoServices REST API","mediaType":"application/json","title":"ArcGIS GeoService"}],"identifier":"https://www.arcgis.com/home/item.html?id=9b04d0c39abd4e049cbd4656a0a04ba3&sublayer=2","issued":"2016-08-12T18:35:12.000Z","keyword":["Food Safety","Inspections","NC","North Carolina","Permit","Restaurants","Wake","Wake County"],"landingPage":"https://data-wake.opendata.arcgis.com/datasets/Wake::food-inspection-violations","license":"https://creativecommons.org/licenses/by/4.0","modified":"2026-09-30T04:30:20.000Z","publisher":{"name":"Wake County"},"spatial":"-78.9451,35.5378,-78.2691,36.0477","theme":["geospatial"],"title":"Food Inspection Violations"},"description":"This dataset captures the restaurants that are inspected. The data set is geocoded based on address with approximately 85% of the locations having a valid geo-location.
You can find out additional information about our restaurant inspections on our website: Food Safety and Sanitation
This table captures all Wake County sanitation inspections from September 20, 2012 to Present.
This table is part of a set of data that combined will give you a picture of all restaurant inspections. Those three tables are:
1. Restaurants: This table captures all active facilities where Wake County performs sanitations inspections. Facilities that are closed are removed from all three files in this dataset. Per NC State regulations, facilities that have a change in ownership are considered closed and the restaurant re-opens under a new permit, even if there is not a change in the name of the restaurant.
2. Food Inspections: This table captures all Wake County performs sanitations inspections at active restaurants since September 20, 2012
3. Food Inspection Violations: This table captures all violations identified during specific Wake County sanitations inspections at active restaurants since September 20, 2012. It reports the results in code violations and according to CDC Risk Factors. You can find additional information about the CDC Risk Factors on the FDA website: Retail Risk Factor Study
The tables can be connected through the HSISID field.
The frequency of facility inspections fall under the following rules:
Inspected once per year:
Risk Category I applies to food service establishments that prepare only non-potentially hazardous foods.
Inspected twice per year:
Risk Category II applies to food service establishments that cook and cool no more than two potentially hazardous foods. Potentially hazardous raw ingredients shall be received in a ready-to-cook form.
Inspected three times per year
Risk Category III applies to food service establishments that cook and cool no more than three potentially hazardous foods.
Inspected four times per year
Risk Category IV applies to food service establishments that cook and cool an unlimited number of potentially hazardous foods. This category also includes those facilities using specialized processes or serving a highly susceptible population.
Field Descriptions are available here.
","distribution_titles":["CSV","GeoJSON","KML","Shapefile","ArcGIS Hub Dataset","ArcGIS GeoService"],"harvest_record":"https://catalog.data.gov/harvest_record/05051ecc-180e-463c-9985-4713017951fb","harvest_record_raw":"https://catalog.data.gov/harvest_record/05051ecc-180e-463c-9985-4713017951fb/raw","has_download":false,"has_spatial":true,"identifier":"https://www.arcgis.com/home/item.html?id=9b04d0c39abd4e049cbd4656a0a04ba3&sublayer=2","keyword":["Food Safety","Inspections","NC","North Carolina","Permit","Restaurants","Wake","Wake County"],"last_harvested_date":"2026-09-30T19:21:56.703858","organization":{"aliases":["north carolina"],"code_repo_exempt":false,"code_repo_url":null,"description":null,"id":"6f5c454f-8dd6-44dd-8d70-89f04303d273","logo":"https://raw.githubusercontent.com/GSA/logo/refs/heads/master/county_wake_nc.png","name":"Wake County","organization_type":"County Government","slug":"wake-county-nc"},"parent_identifier":null,"popularity":26,"publisher":"Wake County","slug":"food-inspection-violations","spatial_centroid":{"lat":35.74176,"lon":-78.6747},"spatial_shape":{"coordinates":[[[-78.9451,35.5378],[-78.9451,36.0477],[-78.2691,36.0477],[-78.2691,35.5378],[-78.9451,35.5378]]],"type":"Polygon"},"theme":["geospatial"],"title":"Food Inspection Violations","type":"dataset"},{"_score":6.547806,"_sort":[1790796109291,6.547806,22,"447a7af9-67f8-4991-be0e-e19701f5da73"],"dcat":{"@type":"dcat:Dataset","accessLevel":"public","contactPoint":{"@type":"vcard:Contact","fn":"WakeCountyGovernment","hasEmail":"mailto:gisapps@wake.gov"},"description":"The Wake County health department inspects food service facilities throughout Wake County. The department permits and inspects these facilities, and responds to citizen complaints. In the event of disease outbreak, the department investigates to determine the source of the infection, and prevent further illness.
This dataset captures the restaurants that are inspected. The data set is geocoded based on address with approximately 85% of the locations having a valid geo-location.
You can find out additional information about our restaurant inspections on our website: Food Safety and Sanitation
This table captures all Wake County sanitation inspections from September 20, 2012 to Present.
This table is part of a set of data that combined will give you a picture of all restaurant inspections. Those three tables are:
1. Restaurants: This table captures all active facilities where Wake County performs sanitations inspections. Facilities that are closed are removed from all three files in this dataset. Per NC State regulations, facilities that have a change in ownership are considered closed and the restaurant re-opens under a new permit, even if there is not a change in the name of the restaurant.
2. Food Inspections: This table captures all Wake County performs sanitations inspections at active restaurants since September 20, 2012
3. Food Inspection Violations: This table captures all violations identified during specific Wake County sanitations inspections at active restaurants since September 20, 2012. It reports the results in code violations and according to CDC Risk Factors. You can find additional information about the CDC Risk Factors on the FDA website: Retail Risk Factor Study
The tables can be connected through the HSISID field.
T The frequency of facility inspections fall under the following rules:
Inspected once per year:
Risk Category I applies to food service establishments that prepare only non-potentially hazardous foods.
Inspected twice per year:
Risk Category II applies to food service establishments that cook and cool no more than two potentially hazardous foods. Potentially hazardous raw ingredients shall be received in a ready-to-cook form.
Inspected three times per year
Risk Category III applies to food service establishments that cook and cool no more than three potentially hazardous foods.
Inspected four times per year
Risk Category IV applies to food service establishments that cook and cool an unlimited number of potentially hazardous foods. This category also includes those facilities using specialized processes or serving a highly susceptible population.
Field Descriptions are available here.
","distribution":[{"@type":"dcat:Distribution","accessURL":"https://data-wake.opendata.arcgis.com/api/download/v1/items/124c2187da8c41c59bde04fa67eb2872/csv?layers=0","format":"CSV","mediaType":"text/csv","title":"CSV"},{"@type":"dcat:Distribution","accessURL":"https://data-wake.opendata.arcgis.com/api/download/v1/items/124c2187da8c41c59bde04fa67eb2872/geojson?layers=0","format":"GeoJSON","mediaType":"application/vnd.geo+json","title":"GeoJSON"},{"@type":"dcat:Distribution","accessURL":"https://data-wake.opendata.arcgis.com/api/download/v1/items/124c2187da8c41c59bde04fa67eb2872/kml?layers=0","format":"KML","mediaType":"application/vnd.google-earth.kml+xml","title":"KML"},{"@type":"dcat:Distribution","accessURL":"https://data-wake.opendata.arcgis.com/api/download/v1/items/124c2187da8c41c59bde04fa67eb2872/shapefile?layers=0","format":"ZIP","mediaType":"application/zip","title":"Shapefile"},{"@type":"dcat:Distribution","accessURL":"https://data-wake.opendata.arcgis.com/datasets/Wake::restaurants-in-wake-county","format":"Web Page","mediaType":"text/html","title":"ArcGIS Hub Dataset"},{"@type":"dcat:Distribution","accessURL":"https://maps.wake.gov/arcgis/rest/services/Inspections/RestaurantInspectionsOpenData/MapServer/0","format":"ArcGIS GeoServices REST API","mediaType":"application/json","title":"ArcGIS GeoService"}],"identifier":"https://www.arcgis.com/home/item.html?id=124c2187da8c41c59bde04fa67eb2872&sublayer=0","issued":"2016-08-12T18:16:04.000Z","keyword":["Food Safety","Inspections","NC","North Carolina","Permit","Restaurants","Wake","Wake County"],"landingPage":"https://data-wake.opendata.arcgis.com/datasets/Wake::restaurants-in-wake-county","license":"https://creativecommons.org/licenses/by/4.0","modified":"2026-09-30T15:57:55.618Z","publisher":{"name":"Wake County"},"spatial":"-78.9451,35.5378,-78.2691,36.0477","theme":["geospatial"],"title":"Restaurants in Wake County"},"description":"
The Wake County health department inspects food service facilities throughout Wake County. The department permits and inspects these facilities, and responds to citizen complaints. In the event of disease outbreak, the department investigates to determine the source of the infection, and prevent further illness.
This dataset captures the restaurants that are inspected. The data set is geocoded based on address with approximately 85% of the locations having a valid geo-location.
You can find out additional information about our restaurant inspections on our website: Food Safety and Sanitation
This table captures all Wake County sanitation inspections from September 20, 2012 to Present.
This table is part of a set of data that combined will give you a picture of all restaurant inspections. Those three tables are:
1. Restaurants: This table captures all active facilities where Wake County performs sanitations inspections. Facilities that are closed are removed from all three files in this dataset. Per NC State regulations, facilities that have a change in ownership are considered closed and the restaurant re-opens under a new permit, even if there is not a change in the name of the restaurant.
2. Food Inspections: This table captures all Wake County performs sanitations inspections at active restaurants since September 20, 2012
3. Food Inspection Violations: This table captures all violations identified during specific Wake County sanitations inspections at active restaurants since September 20, 2012. It reports the results in code violations and according to CDC Risk Factors. You can find additional information about the CDC Risk Factors on the FDA website: Retail Risk Factor Study
The tables can be connected through the HSISID field.
T The frequency of facility inspections fall under the following rules:
Inspected once per year:
Risk Category I applies to food service establishments that prepare only non-potentially hazardous foods.
Inspected twice per year:
Risk Category II applies to food service establishments that cook and cool no more than two potentially hazardous foods. Potentially hazardous raw ingredients shall be received in a ready-to-cook form.
Inspected three times per year
Risk Category III applies to food service establishments that cook and cool no more than three potentially hazardous foods.
Inspected four times per year
Risk Category IV applies to food service establishments that cook and cool an unlimited number of potentially hazardous foods. This category also includes those facilities using specialized processes or serving a highly susceptible population.
Field Descriptions are available here.
","distribution_titles":["CSV","GeoJSON","KML","Shapefile","ArcGIS Hub Dataset","ArcGIS GeoService"],"harvest_record":"https://catalog.data.gov/harvest_record/83c1de6c-e018-4994-ab90-965f9e2ddde7","harvest_record_raw":"https://catalog.data.gov/harvest_record/83c1de6c-e018-4994-ab90-965f9e2ddde7/raw","has_download":false,"has_spatial":true,"identifier":"https://www.arcgis.com/home/item.html?id=124c2187da8c41c59bde04fa67eb2872&sublayer=0","keyword":["Food Safety","Inspections","NC","North Carolina","Permit","Restaurants","Wake","Wake County"],"last_harvested_date":"2026-09-30T19:21:49.291670","organization":{"aliases":["north carolina"],"code_repo_exempt":false,"code_repo_url":null,"description":null,"id":"6f5c454f-8dd6-44dd-8d70-89f04303d273","logo":"https://raw.githubusercontent.com/GSA/logo/refs/heads/master/county_wake_nc.png","name":"Wake County","organization_type":"County Government","slug":"wake-county-nc"},"parent_identifier":null,"popularity":22,"publisher":"Wake County","slug":"restaurants-in-wake-county","spatial_centroid":{"lat":35.74176,"lon":-78.6747},"spatial_shape":{"coordinates":[[[-78.9451,35.5378],[-78.9451,36.0477],[-78.2691,36.0477],[-78.2691,35.5378],[-78.9451,35.5378]]],"type":"Polygon"},"theme":["geospatial"],"title":"Restaurants in Wake County","type":"dataset"},{"_score":9.010527,"_sort":[1790796097883,9.010527,1,"7e7e1553-7c18-4182-b747-fa52d813038f"],"dcat":{"@type":"dcat:Dataset","accessLevel":"public","contactPoint":{"@type":"vcard:Contact","fn":"WakeCountyGovernment","hasEmail":"mailto:gisapps@wake.gov"},"description":"The purpose\u202fof the Voluntary Agricultural District (VAD) Program is to promote agricultural values and the general welfare of Wake County by increasing the identity of, and pride in, the agricultural community and its way of life. The program also encourages the economic and financial health of agriculture, horticulture, and forestry through protection from non-farm development and other negative impacts on properly managed farms.\u00a0All parcels are private, agricultural properties and not open to the public for access.
Wastewater-based epidemiology, which is the science of studying community sewage for public health information, is one method of getting information about community health and narcotics consumption. In an effort to prevent and reduce opioid misuse, the City of Tempe is working with scientists from Arizona State University's Biodesign Institute to study the city's wastewater.
Additional Information
Source: Arizona State University's Biodesign Institute provided Excel document.
Contact: Zoe Aiello
Contact email: Zoe_Aiello@tempe.gov
Data Source Type: Table
Preparation Method: Excel Spreadsheet entered into ArcGIS Survey 123 form which populates ArcGIS Online feature layer table.
Publish Frequency: Weekly, as data becomes available Publish Method: The collection area testing data are provided by scientists from Arizona State University's Biodesign Institute and published to an ArcGIS Online feature layer table.
Data Dictionary
Wastewater-based epidemiology, which is the science of studying community sewage for public health information, is one method of getting information about community health and narcotics consumption. In an effort to prevent and reduce opioid misuse, the City of Tempe is working with scientists from Arizona State University's Biodesign Institute to study the city's wastewater.
Additional Information
Source: Arizona State University's Biodesign Institute provided Excel document.
Contact: Zoe Aiello
Contact email: Zoe_Aiello@tempe.gov
Data Source Type: Table
Preparation Method: Excel Spreadsheet entered into ArcGIS Survey 123 form which populates ArcGIS Online feature layer table.
Publish Frequency: Weekly, as data becomes available Publish Method: The collection area testing data are provided by scientists from Arizona State University's Biodesign Institute and published to an ArcGIS Online feature layer table.
Data Dictionary
Additional Information
Additional Information
The incident locations represented are approximated and not the actual location of the incident. Latitudinal and longitudinal coordinates have been truncate to 3 decimal points. The estimated location lies within approximately a 1/4 mile radius. This approximated location data is also shown on the dashboard.
This feature layer supports the Opioid Abuse Probable EMS Call Dashboard. The following documents what data are collected and why they are being collected.\u00a0
Opioid Abuse Probable
A call may be coded as \u201copioid abuse probable\u201d for many reasons, such as
\u201cOpioid abuse probable\u201d is determined by Tempe Fire Medical Rescue Department\u2019s Emergency medical technicians and paramedics on scene at the time of the incident.\u00a0
Narcan/Naloxone Given
\u201cNarcan/Naloxone Given\u201d refers to whether the medication Narcan/Naloxone was given to patients who exhibited signs or symptoms of a potential opioid overdose or to patients who fall within treatment protocols that require Narcan/Naloxone to be given.\u00a0 Narcan/Naloxone are the same medication with Narcan being the trade name and Naloxone being the generic name for the medication.\u00a0 Narcan is the reversal medication used by medical providers for opioid overdoses.
Groups
\u201cGroups\u201d are used to determine if there are specific populations that have an increase in opioid abuse.\u00a0
Gender
Patient gender is documented as male or female when crews are able to obtain this information from the patient. There are some circumstances where this information is not readily determined and the patient is unable to communicate with our crews. In these circumstances, crews may document unknown/unable to determine.\u00a0
Information about the data can be found at\u00a0https://bit.ly/2xXbD20
","distribution":[{"@type":"dcat:Distribution","accessURL":"https://data.tempe.gov/api/download/v1/items/2daeeafd2741494c8294ca415e5a793e/csv?layers=0","format":"CSV","mediaType":"text/csv","title":"CSV"},{"@type":"dcat:Distribution","accessURL":"https://data.tempe.gov/api/download/v1/items/2daeeafd2741494c8294ca415e5a793e/geojson?layers=0","format":"GeoJSON","mediaType":"application/vnd.geo+json","title":"GeoJSON"},{"@type":"dcat:Distribution","accessURL":"https://data.tempe.gov/api/download/v1/items/2daeeafd2741494c8294ca415e5a793e/kml?layers=0","format":"KML","mediaType":"application/vnd.google-earth.kml+xml","title":"KML"},{"@type":"dcat:Distribution","accessURL":"https://data.tempe.gov/api/download/v1/items/2daeeafd2741494c8294ca415e5a793e/shapefile?layers=0","format":"ZIP","mediaType":"application/zip","title":"Shapefile"},{"@type":"dcat:Distribution","accessURL":"https://data.tempe.gov/datasets/tempegov::opioid-ems-calls","format":"Web Page","mediaType":"text/html","title":"ArcGIS Hub Dataset"},{"@type":"dcat:Distribution","accessURL":"https://services.arcgis.com/lQySeXwbBg53XWDi/arcgis/rest/services/Opioid_Calls/FeatureServer/0","format":"ArcGIS GeoServices REST API","mediaType":"application/json","title":"ArcGIS GeoService"}],"identifier":"https://www.arcgis.com/home/item.html?id=2daeeafd2741494c8294ca415e5a793e&sublayer=0","issued":"2019-04-22T22:08:55.000Z","keyword":["Arizona","Tempe","calls for service","community health","fire","opioids","public health"],"landingPage":"https://data.tempe.gov/datasets/tempegov::opioid-ems-calls","license":"https://creativecommons.org/licenses/by/4.0","modified":"2026-09-30T04:00:30.797Z","publisher":{"name":"City of Tempe"},"spatial":"-112.0095,33.3030,33.4090,33.4860","theme":["geospatial"],"title":"Opioid EMS Calls"},"description":"The incident locations represented are approximated and not the actual location of the incident. Latitudinal and longitudinal coordinates have been truncate to 3 decimal points. The estimated location lies within approximately a 1/4 mile radius. This approximated location data is also shown on the dashboard.
This feature layer supports the Opioid Abuse Probable EMS Call Dashboard. The following documents what data are collected and why they are being collected.\u00a0
Opioid Abuse Probable
A call may be coded as \u201copioid abuse probable\u201d for many reasons, such as
\u201cOpioid abuse probable\u201d is determined by Tempe Fire Medical Rescue Department\u2019s Emergency medical technicians and paramedics on scene at the time of the incident.\u00a0
Narcan/Naloxone Given
\u201cNarcan/Naloxone Given\u201d refers to whether the medication Narcan/Naloxone was given to patients who exhibited signs or symptoms of a potential opioid overdose or to patients who fall within treatment protocols that require Narcan/Naloxone to be given.\u00a0 Narcan/Naloxone are the same medication with Narcan being the trade name and Naloxone being the generic name for the medication.\u00a0 Narcan is the reversal medication used by medical providers for opioid overdoses.
Groups
\u201cGroups\u201d are used to determine if there are specific populations that have an increase in opioid abuse.\u00a0
Gender
Patient gender is documented as male or female when crews are able to obtain this information from the patient. There are some circumstances where this information is not readily determined and the patient is unable to communicate with our crews. In these circumstances, crews may document unknown/unable to determine.\u00a0
Information about the data can be found at\u00a0https://bit.ly/2xXbD20
","distribution_titles":["CSV","GeoJSON","KML","Shapefile","ArcGIS Hub Dataset","ArcGIS GeoService"],"harvest_record":"https://catalog.data.gov/harvest_record/fff44f78-e4a7-4ce0-a967-5447aae92055","harvest_record_raw":"https://catalog.data.gov/harvest_record/fff44f78-e4a7-4ce0-a967-5447aae92055/raw","has_download":false,"has_spatial":true,"identifier":"https://www.arcgis.com/home/item.html?id=2daeeafd2741494c8294ca415e5a793e&sublayer=0","keyword":["Arizona","Tempe","calls for service","community health","fire","opioids","public health"],"last_harvested_date":"2026-09-30T19:01:31.686432","organization":{"aliases":["arizona"],"code_repo_exempt":false,"code_repo_url":null,"description":null,"id":"4b9a2b4d-f9e1-4898-aa2c-32d13e44b5a1","logo":"https://raw.githubusercontent.com/GSA/logo/refs/heads/master/city_tempe_az.png","name":"City of Tempe","organization_type":"City Government","slug":"tempe-az"},"parent_identifier":null,"popularity":5,"publisher":"City of Tempe","slug":"opioid-ems-calls","spatial_centroid":{"lat":33.3762,"lon":-53.8421},"spatial_shape":{"coordinates":[[[-112.0095,33.303],[-112.0095,33.486],[33.409,33.486],[33.409,33.303],[-112.0095,33.303]]],"type":"Polygon"},"theme":["geospatial"],"title":"Opioid EMS Calls","type":"dataset"},{"_score":25.85751,"_sort":[1790794891145,25.85751,1,"2b0ff021-a4db-45a7-a4fb-7ff8a6331354"],"dcat":{"@type":"dcat:Dataset","accessLevel":"public","contactPoint":{"@type":"vcard:Contact","fn":"TempeData","hasEmail":"mailto:data@tempe.gov"},"description":"This dataset supports the\u202fBiomarker: Measles page on the\u202fTempe Wastewater BioIntel Program site.
People infected with measles can shed the virus, or pieces of its genetic material. These materials enter the wastewater system through normal bodily waste. Wastewater is collected from sample sites throughout Tempe that represent collection areas. Each collection area represents a population greater than 3,000 people.
Wastewater collection areas are geographic regions that include the properties whose wastewater (sewage) flows past a shared sampling point on its way to a wastewater treatment plant. Each sample represents a mixture of wastewater from everyone connected to that part of the sewer system. Because the sample is a mixture of sewage that represents a population of at least 3,000 people, it is impossible to determine who or how many people may have contributed to a positive detection.
At each sampling site, wastewater is collected continuously over a 24-hour period to create a sample that reflects waste from the full day. The sample is then transported to a laboratory, where scientists prepare and analyze it to determine whether the measles genetic material can be detected.
For more information about how wastewater testing works, please visit the Tempe Wastewater BioIntel Program\u2019s \u201cHow We Do It\u201d webpage.
About the data:
Additional Information
Source: The Translational Genomics Research Institute (TGen), part of City of Hope, is an Arizona-based, nonprofit medical research institute.
Contact: Zoe Aiello
Contact email: Zoe_Aiello@tempe.gov
Preparation Method: Test results are provided by TGen.
Publish Frequency: Weekly or as data becomes available
Publish Method: Manual
","distribution":[{"@type":"dcat:Distribution","accessURL":"https://data.tempe.gov/api/download/v1/items/104ebcc76bff44368b6c949e15ae703e/csv?layers=0","format":"CSV","mediaType":"text/csv","title":"CSV"},{"@type":"dcat:Distribution","accessURL":"https://data.tempe.gov/api/download/v1/items/104ebcc76bff44368b6c949e15ae703e/geojson?layers=0","format":"GeoJSON","mediaType":"application/vnd.geo+json","title":"GeoJSON"},{"@type":"dcat:Distribution","accessURL":"https://data.tempe.gov/api/download/v1/items/104ebcc76bff44368b6c949e15ae703e/kml?layers=0","format":"KML","mediaType":"application/vnd.google-earth.kml+xml","title":"KML"},{"@type":"dcat:Distribution","accessURL":"https://data.tempe.gov/api/download/v1/items/104ebcc76bff44368b6c949e15ae703e/shapefile?layers=0","format":"ZIP","mediaType":"application/zip","title":"Shapefile"},{"@type":"dcat:Distribution","accessURL":"https://data.tempe.gov/datasets/tempegov::biomarker-measles-dataset","format":"Web Page","mediaType":"text/html","title":"ArcGIS Hub Dataset"},{"@type":"dcat:Distribution","accessURL":"https://services.arcgis.com/lQySeXwbBg53XWDi/arcgis/rest/services/Biomarker_Measles_(public_view)/FeatureServer/0","format":"ArcGIS GeoServices REST API","mediaType":"application/json","title":"ArcGIS GeoService"}],"identifier":"https://www.arcgis.com/home/item.html?id=104ebcc76bff44368b6c949e15ae703e&sublayer=0","issued":"2026-02-13T22:19:14.000Z","keyword":["Arizona","BioIntel","BioIntel Program","Biomarker","Tempe","Wastewater","community health","gastrointestinal viruses","measles","public health","respiratory viruses","virus"],"landingPage":"https://data.tempe.gov/datasets/tempegov::biomarker-measles-dataset","license":"https://creativecommons.org/licenses/by/4.0","modified":"2026-09-25T23:40:09.978Z","publisher":{"name":"City of Tempe"},"spatial":"-180.0000,-89.0000,180.0000,89.0000","theme":["geospatial"],"title":"Biomarker Measles (Dataset)"},"description":"This dataset supports the\u202fBiomarker: Measles page on the\u202fTempe Wastewater BioIntel Program site.
People infected with measles can shed the virus, or pieces of its genetic material. These materials enter the wastewater system through normal bodily waste. Wastewater is collected from sample sites throughout Tempe that represent collection areas. Each collection area represents a population greater than 3,000 people.
Wastewater collection areas are geographic regions that include the properties whose wastewater (sewage) flows past a shared sampling point on its way to a wastewater treatment plant. Each sample represents a mixture of wastewater from everyone connected to that part of the sewer system. Because the sample is a mixture of sewage that represents a population of at least 3,000 people, it is impossible to determine who or how many people may have contributed to a positive detection.
At each sampling site, wastewater is collected continuously over a 24-hour period to create a sample that reflects waste from the full day. The sample is then transported to a laboratory, where scientists prepare and analyze it to determine whether the measles genetic material can be detected.
For more information about how wastewater testing works, please visit the Tempe Wastewater BioIntel Program\u2019s \u201cHow We Do It\u201d webpage.
About the data:
Additional Information
Source: The Translational Genomics Research Institute (TGen), part of City of Hope, is an Arizona-based, nonprofit medical research institute.
Contact: Zoe Aiello
Contact email: Zoe_Aiello@tempe.gov
Preparation Method: Test results are provided by TGen.
Publish Frequency: Weekly or as data becomes available
Publish Method: Manual
","distribution_titles":["CSV","GeoJSON","KML","Shapefile","ArcGIS Hub Dataset","ArcGIS GeoService"],"harvest_record":"https://catalog.data.gov/harvest_record/f47fd3f3-0b48-494b-a05c-b04bcf879ead","harvest_record_raw":"https://catalog.data.gov/harvest_record/f47fd3f3-0b48-494b-a05c-b04bcf879ead/raw","has_download":false,"has_spatial":true,"identifier":"https://www.arcgis.com/home/item.html?id=104ebcc76bff44368b6c949e15ae703e&sublayer=0","keyword":["Arizona","BioIntel","BioIntel Program","Biomarker","Tempe","Wastewater","community health","gastrointestinal viruses","measles","public health","respiratory viruses","virus"],"last_harvested_date":"2026-09-30T19:01:31.145646","organization":{"aliases":["arizona"],"code_repo_exempt":false,"code_repo_url":null,"description":null,"id":"4b9a2b4d-f9e1-4898-aa2c-32d13e44b5a1","logo":"https://raw.githubusercontent.com/GSA/logo/refs/heads/master/city_tempe_az.png","name":"City of Tempe","organization_type":"City Government","slug":"tempe-az"},"parent_identifier":null,"popularity":1,"publisher":"City of Tempe","slug":"biomarker-measles-dataset","spatial_centroid":{"lat":-17.8,"lon":-36.0},"spatial_shape":{"coordinates":[[[-180.0,-89.0],[-180.0,89.0],[180.0,89.0],[180.0,-89.0],[-180.0,-89.0]]],"type":"Polygon"},"theme":["geospatial"],"title":"Biomarker Measles (Dataset)","type":"dataset"},{"_score":2.4914722,"_sort":[1790794873946,2.4914722,1,"440684ad-6c2b-49ee-9292-c42b03aabf63"],"dcat":{"@type":"dcat:Dataset","accessLevel":"public","contactPoint":{"@type":"vcard:Contact","fn":"TempeData","hasEmail":"mailto:data@tempe.gov"},"description":"An important indicator of the financial health of a governmental entity is the level of fund balance it maintains. The fund balance is similar in nature to the savings account that a household would maintain and only use to cover unplanned emergencies. For a governmental entity, the ability to maintain the fund balance in accordance with sound financial policy is critical to the continuation of the delivery of services to citizens during the inevitable ups and downs of the economy.
This data page provides data for the General Fund Unassigned Fund Balance performance measure.
The city\u2019s ability to successfully manage the fund balance of the General Fund in accordance with Council-approved financial policy is a strong reflection of the city\u2019s commitment to ensuring long-term financial sustainability. Adherence to the policy demonstrates the city\u2019s willingness to make the necessary budgetary decisions to comply.
The performance measure dashboard is available at 5.05 General Fund Balance
Additional Information
An important indicator of the financial health of a governmental entity is the level of fund balance it maintains. The fund balance is similar in nature to the savings account that a household would maintain and only use to cover unplanned emergencies. For a governmental entity, the ability to maintain the fund balance in accordance with sound financial policy is critical to the continuation of the delivery of services to citizens during the inevitable ups and downs of the economy.
This data page provides data for the General Fund Unassigned Fund Balance performance measure.
The city\u2019s ability to successfully manage the fund balance of the General Fund in accordance with Council-approved financial policy is a strong reflection of the city\u2019s commitment to ensuring long-term financial sustainability. Adherence to the policy demonstrates the city\u2019s willingness to make the necessary budgetary decisions to comply.
The performance measure dashboard is available at 5.05 General Fund Balance
Additional Information