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Pressure transducers have been deployed in these wells along with pre-existing monitoring wells (P5 and P8) to monitor groundwater levels and temperature. Additionally, shallow soil moisture and temperature monitoring data were collected at 15 locations across the hillslope to better understand infiltration dynamics.\nThis data release includes borehole location and well completion information from P9 and P10. The hydraulic test data directory contains in-situ packer test data collected during drilling and laboratory permeability/porosity results from selected core samples. The geophysical log directory contains borehole geophysical logs collected prior to well completion. The hydrologic monitoring data directory contains groundwater level and temperature data for fall 2023 to summer 2025. 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Additionally, shallow soil moisture and temperature monitoring data were collected at 15 locations across the hillslope to better understand infiltration dynamics.\nThis data release includes borehole location and well completion information from P9 and P10. The hydraulic test data directory contains in-situ packer test data collected during drilling and laboratory permeability/porosity results from selected core samples. The geophysical log directory contains borehole geophysical logs collected prior to well completion. The hydrologic monitoring data directory contains groundwater level and temperature data for fall 2023 to summer 2025. 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The data are analogous to LANDFIRE's Vegetation Departure Scores (which are calculated using LANDFIRE Succession-Class raster data, and LANDFIRE Biophysical Settings raster data), but we used custom processing of the underlying LANDFIRE data to generate scores at higher resolution.\nLANDFIRE Succession Class (S-Class) maps at 30 m resolution were summarized within 300 m analysis cells. Each 300 m cell contains the proportional cover of seven vegetation classes: A (early development), B (mid-development closed), C (mid-development open), D (late-development open), E (late-development closed), UN (uncharacteristic native), and UE (uncharacteristic exotic). S-classes for each ecosystem type consider the type, cover, and height of vegetation, and whether the vegetation is characteristic of ecosystem type. The dominant LANDFIRE Biophysical Setting in each 300 m cell was used to identify reference-condition expectations. \nThe Ecosystem Condition score raster provides a single, integrated departure score ranging from 0 to 100, where larger values indicate greater departure from reference conditions. The score is based on the same ecological departure framework used by the LANDFIRE Vegetation Departure product and the Fire Regime Condition Class (FRCC) methodology.\nTo calculate the score, vegetation conditions within each 300 m grid cell are first summarized across seven LANDFIRE Succession Classes (S-Classes): A, B, C, D, E, UN, and UE. Current proportions of each S-Class are compared with the proportions expected under reference conditions for the corresponding ecosystem type. Individual S-Class departures are then combined into a single aggregate Ecosystem Condition score that represents the overall degree of departure from the ecosystem's expected reference condition.\nECO Score:\n100 - sum(Ci - Ri)\nWhere Ci = The current percentage of the 300m resolution landscape in successional/structural class i. And Ri = The historical reference percentage of the landscape in successional/structural class i.","distribution":[{"@type":"dcat:Distribution","accessURL":"https://doi.org/10.5066/P13EXQGF","description":"Landing page for access to the data","format":"XML","mediaType":"application/http","title":"Digital Data"},{"@type":"dcat:Distribution","description":"The metadata original format","downloadURL":"https://data.usgs.gov/datacatalog/metadata/USGS.6a96d08b1ba49b45440e95de.xml","format":"XML","mediaType":"text/xml","title":"Original Metadata"}],"identifier":"http://datainventory.doi.gov/id/dataset/USGS_6a96d08b1ba49b45440e95de","keyword":["USGS:6a96d08b1ba49b45440e95de","biota","ecosystem monitoring","ecosystem restoration","environment","terrestrial ecosystems"],"modified":"2026-09-15T00:00:00Z","publisher":{"@type":"org:Organization","name":"U.S. Geological Survey"},"spatial":"-114.0400, 36.9900, -109.0400, 42.0000","theme":["geospatial"],"title":"2024 geospatial Ecosystem Condition (ECO) Score layer for Utah, USA"},"description":"This raster dataset provides estimated ecosystem condition scores, representing the difference between current conditions and reference/baseline conditions, for Utah, USA for the year 2024. The data are analogous to LANDFIRE's Vegetation Departure Scores (which are calculated using LANDFIRE Succession-Class raster data, and LANDFIRE Biophysical Settings raster data), but we used custom processing of the underlying LANDFIRE data to generate scores at higher resolution.\nLANDFIRE Succession Class (S-Class) maps at 30 m resolution were summarized within 300 m analysis cells. Each 300 m cell contains the proportional cover of seven vegetation classes: A (early development), B (mid-development closed), C (mid-development open), D (late-development open), E (late-development closed), UN (uncharacteristic native), and UE (uncharacteristic exotic). S-classes for each ecosystem type consider the type, cover, and height of vegetation, and whether the vegetation is characteristic of ecosystem type. The dominant LANDFIRE Biophysical Setting in each 300 m cell was used to identify reference-condition expectations. \nThe Ecosystem Condition score raster provides a single, integrated departure score ranging from 0 to 100, where larger values indicate greater departure from reference conditions. The score is based on the same ecological departure framework used by the LANDFIRE Vegetation Departure product and the Fire Regime Condition Class (FRCC) methodology.\nTo calculate the score, vegetation conditions within each 300 m grid cell are first summarized across seven LANDFIRE Succession Classes (S-Classes): A, B, C, D, E, UN, and UE. Current proportions of each S-Class are compared with the proportions expected under reference conditions for the corresponding ecosystem type. Individual S-Class departures are then combined into a single aggregate Ecosystem Condition score that represents the overall degree of departure from the ecosystem's expected reference condition.\nECO Score:\n100 - sum(Ci - Ri)\nWhere Ci = The current percentage of the 300m resolution landscape in successional/structural class i. 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Read","hasEmail":"mailto:jread@usgs.gov"},"description":"Climate change has been shown to influence lake temperatures globally. To better understand the diversity of lake responses to climate change and give managers tools to manage individual lakes,  we modelled daily water temperature profiles for 10,774 lakes in Michigan, Minnesota and Wisconsin for contemporary (1979-2015) and future (2020-2040 and 2080-2100) time  periods with climate models based on the Representative Concentration Pathway 8.5, the worst-case emission scenario. From simulated temperatures, we derived commonly used,  ecologically relevant annual metrics of thermal conditions for each lake. We included all available supporting metadata including satellite and in-situ observations of water clarity,  maximum observed lake depth, land-cover based estimates of surrounding canopy height and observed water temperature profiles (used here for validation).  This unique dataset offers landscape-level insight into the future impact of climate change on lakes.  This data set contains the following parameters: ice_duration_days, ice_on_date, ice_off_date, winter_dur_0-4, coef_var_30-60, coef_var_0-30, stratification_onset_yday, stratification_duration, sthermo_depth_mean, peak_temp, gdd_wtr_0c, gdd_wtr_5c, gdd_wtr_10c, bottom_temp_at_strat, schmidt_daily_annual_sum, mean_surf_jas, max_surf_jas, mean_bot_jas, max_bot_jas, mean_surf_jan, max_surf_jan, mean_bot_jan, max_bot_jan, mean_surf_feb, max_surf_feb, mean_bot_feb, max_bot_feb, mean_surf_mar, max_surf_mar, mean_bot_mar, max_bot_mar, mean_surf_apr, max_surf_apr, mean_bot_apr, max_bot_apr, mean_surf_may, max_surf_may, mean_bot_may, max_bot_may, mean_surf_jun, max_surf_jun, mean_bot_jun, max_bot_jun, mean_surf_jul, max_surf_jul, mean_bot_jul, max_bot_jul, mean_surf_aug, max_surf_aug, mean_bot_aug, max_bot_aug, mean_surf_sep, max_surf_sep, mean_bot_sep, max_bot_sep, mean_surf_oct, max_surf_oct, mean_bot_oct, max_bot_oct, mean_surf_nov, max_surf_nov, mean_bot_nov, max_bot_nov, mean_surf_dec, max_surf_dec, mean_bot_dec, max_bot_dec, which are defined below.","distribution":[{"@type":"dcat:Distribution","accessURL":"https://doi.org/10.5066/F7DV1H10","description":"Landing page for access to the data","format":"XML","mediaType":"application/http","title":"Digital Data"},{"@type":"dcat:Distribution","description":"The metadata original format","downloadURL":"https://data.usgs.gov/datacatalog/metadata/USGS.57d9e887e4b090824ffb1098.xml","format":"XML","mediaType":"text/xml","title":"Original Metadata"}],"identifier":"http://datainventory.doi.gov/id/dataset/USGS_57d9e887e4b090824ffb1098","keyword":["IA","IL","IN","Illinois","Indiana","Iowa","MI","MN","Michigan","Minnesota","SD","South Dakota","US","USGS:57d9e887e4b090824ffb1098","United States","WI","Wisconsin","biota","climate change","environment","inlandWaters","modeling","reservoirs","temperate lakes","thermal profiles","water"],"modified":"2026-09-17T00:00:00Z","publisher":{"@type":"org:Organization","name":"U.S. Geological Survey"},"spatial":"-96.8589114267623, 48.7289513243629, -83.0573307815185, 41.7553570685206","theme":["geospatial"],"title":"Thermal metrics: A large-scale database of modeled contemporary and future water temperature data for 10,774 Michigan, Minnesota and Wisconsin Lakes"},"description":"Climate change has been shown to influence lake temperatures globally. To better understand the diversity of lake responses to climate change and give managers tools to manage individual lakes,  we modelled daily water temperature profiles for 10,774 lakes in Michigan, Minnesota and Wisconsin for contemporary (1979-2015) and future (2020-2040 and 2080-2100) time  periods with climate models based on the Representative Concentration Pathway 8.5, the worst-case emission scenario. From simulated temperatures, we derived commonly used,  ecologically relevant annual metrics of thermal conditions for each lake. We included all available supporting metadata including satellite and in-situ observations of water clarity,  maximum observed lake depth, land-cover based estimates of surrounding canopy height and observed water temperature profiles (used here for validation).  This unique dataset offers landscape-level insight into the future impact of climate change on lakes.  This data set contains the following parameters: ice_duration_days, ice_on_date, ice_off_date, winter_dur_0-4, coef_var_30-60, coef_var_0-30, stratification_onset_yday, stratification_duration, sthermo_depth_mean, peak_temp, gdd_wtr_0c, gdd_wtr_5c, gdd_wtr_10c, bottom_temp_at_strat, schmidt_daily_annual_sum, mean_surf_jas, max_surf_jas, mean_bot_jas, max_bot_jas, mean_surf_jan, max_surf_jan, mean_bot_jan, max_bot_jan, mean_surf_feb, max_surf_feb, mean_bot_feb, max_bot_feb, mean_surf_mar, max_surf_mar, mean_bot_mar, max_bot_mar, mean_surf_apr, max_surf_apr, mean_bot_apr, max_bot_apr, mean_surf_may, max_surf_may, mean_bot_may, max_bot_may, mean_surf_jun, max_surf_jun, mean_bot_jun, max_bot_jun, mean_surf_jul, max_surf_jul, mean_bot_jul, max_bot_jul, mean_surf_aug, max_surf_aug, mean_bot_aug, max_bot_aug, mean_surf_sep, max_surf_sep, mean_bot_sep, max_bot_sep, mean_surf_oct, max_surf_oct, mean_bot_oct, max_bot_oct, mean_surf_nov, max_surf_nov, mean_bot_nov, max_bot_nov, mean_surf_dec, max_surf_dec, mean_bot_dec, max_bot_dec, which are defined below.","distribution_titles":["Digital Data","Original Metadata"],"harvest_record":"https://catalog.data.gov/harvest_record/02b3a9d3-7b46-4655-8355-28c542440478","harvest_record_raw":"https://catalog.data.gov/harvest_record/02b3a9d3-7b46-4655-8355-28c542440478/raw","has_download":true,"has_spatial":true,"identifier":"http://datainventory.doi.gov/id/dataset/USGS_57d9e887e4b090824ffb1098","keyword":["IA","IL","IN","Illinois","Indiana","Iowa","MI","MN","Michigan","Minnesota","SD","South Dakota","US","USGS:57d9e887e4b090824ffb1098","United States","WI","Wisconsin","biota","climate change","environment","inlandWaters","modeling","reservoirs","temperate lakes","thermal profiles","water"],"last_harvested_date":"2026-09-24T00:09:00.856238","organization":{"aliases":["dept"],"code_repo_exempt":false,"code_repo_url":null,"description":null,"id":"143529f7-2eef-4a07-b227-93ac9e84fad8","logo":"https://raw.githubusercontent.com/GSA/logo/master/doi.png","name":"Department of the Interior","organization_type":"Federal Government","slug":"doi"},"parent_identifier":null,"popularity":2,"publisher":"U.S. Geological Survey","slug":"thermal-metrics-a-large-scale-database-of-modeled-contemporary-and-future-water-temperatur","spatial_centroid":{"lat":45.939513622025984,"lon":-91.33827916866478},"spatial_shape":{"coordinates":[[[-96.8589114267623,48.7289513243629],[-96.8589114267623,41.7553570685206],[-83.0573307815185,41.7553570685206],[-83.0573307815185,48.7289513243629],[-96.8589114267623,48.7289513243629]]],"type":"Polygon"},"theme":["geospatial"],"title":"Thermal metrics: A large-scale database of modeled contemporary and future water temperature data for 10,774 Michigan, Minnesota and Wisconsin Lakes","type":"dataset"},{"_score":8.856306,"_sort":[1790208342798,8.856306,2,"402468fa-0df4-412e-9eca-b7f2a0189236"],"dcat":{"accessLevel":"public","bureauCode":["010:12"],"contactPoint":{"@type":"vcard:Contact","fn":"April Taylor","hasEmail":"mailto:casc-data@usgs.gov"},"description":"THE CHICKASAW NATION HOSTED THIS RESEARCH SYMPOSIUM ON MARCH 22-24, 2022, HELD AT THE CHICKASAW RETREAT AND CONFERENCE CENTER IN SULPHUR, OK.\nAfter the Climate Workshop for The Chickasaw Nation in 2019, the Tribal managers discussed the need to include culture in conservation efforts and decided to seek a grant for culturally significant plants. This event was organized and led by the Chickasaw Nation and was funded by the U.S. Geological Survey through the South Central Climate Adaptation Science Center.\nThere were 106 attendees with 75 Native representatives from 21 different tribes. There were 11 student attendees. Attendees came from all across the United States including Maine, New York, Michigan, Montana, California, Alabama, and North Carolina. One of the speakers even presented via livestream from Hawaii.\nThe event brought tribes and researchers together on equal levels to learn about what they are doing related to plants and climate change and discuss collaboration opportunities. This dataset contains evaluation responses from participants who attended the research symposium. The purpose of the evaluation responses is to determine what was successful about the symposium and what could be improved upon.","distribution":[{"@type":"dcat:Distribution","accessURL":"https://doi.org/10.21429/491y-sk69","description":"Landing page for access to the data","format":"XML","mediaType":"application/http","title":"Digital Data"},{"@type":"dcat:Distribution","description":"The metadata original format","downloadURL":"https://data.usgs.gov/datacatalog/metadata/USGS.63b463a8d34e92aad3ca9d1e.xml","format":"XML","mediaType":"text/xml","title":"Original Metadata"}],"identifier":"http://datainventory.doi.gov/id/dataset/USGS_63b463a8d34e92aad3ca9d1e","keyword":["Conservation","Culturally significant plants","Indigenous Peoples","Louisiana","New Mexico","Oklahoma","Plants","Texas","Tribes and Tribal Organizations","USGS:63b463a8d34e92aad3ca9d1e","biota","environment","social sciences","society"],"modified":"2026-09-17T00:00:00Z","publisher":{"@type":"org:Organization","name":"U.S. Geological Survey"},"spatial":"-109.1602, 25.6019, -89.8242, 37.0902","theme":["geospatial"],"title":"Evaluation Responses for Research Symposium: Culturally Significant Plants and Climate Change"},"description":"THE CHICKASAW NATION HOSTED THIS RESEARCH SYMPOSIUM ON MARCH 22-24, 2022, HELD AT THE CHICKASAW RETREAT AND CONFERENCE CENTER IN SULPHUR, OK.\nAfter the Climate Workshop for The Chickasaw Nation in 2019, the Tribal managers discussed the need to include culture in conservation efforts and decided to seek a grant for culturally significant plants. 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Additionally, each event is reported to the Indiana Department of Environmental Management.","distribution":[{"@type":"dcat:Distribution","describedBy":"https://data.bloomington.in.gov/api/views/kfaf-msfz/columns.json","describedByType":"application/json","downloadURL":"https://data.bloomington.in.gov/api/v3/views/kfaf-msfz/query.json?accessType=DOWNLOAD","mediaType":"application/json"},{"@type":"dcat:Distribution","describedBy":"https://data.bloomington.in.gov/api/views/kfaf-msfz/columns.xml","describedByType":"application/xml","downloadURL":"https://data.bloomington.in.gov/api/v3/views/kfaf-msfz/query.xml?accessType=DOWNLOAD","mediaType":"application/xml"},{"@type":"dcat:Distribution","downloadURL":"https://data.bloomington.in.gov/api/v3/views/kfaf-msfz/export.csv?accessType=DOWNLOAD","mediaType":"text/csv"},{"@type":"dcat:Distribution","downloadURL":"https://data.bloomington.in.gov/api/v3/views/kfaf-msfz/export.kml?accessType=DOWNLOAD","mediaType":"application/vnd.google-earth.kml+xml"},{"@type":"dcat:Distribution","downloadURL":"https://data.bloomington.in.gov/api/v3/views/kfaf-msfz/export.kmz?accessType=DOWNLOAD","mediaType":"application/vnd.google-earth.kmz"},{"@type":"dcat:Distribution","downloadURL":"https://data.bloomington.in.gov/api/v3/views/kfaf-msfz/query.geojson?accessType=DOWNLOAD","mediaType":"application/geo+json"}],"identifier":"https://data.bloomington.in.gov/api/views/kfaf-msfz","issued":"2023-02-24","keyword":["untagged"],"landingPage":"https://data.bloomington.in.gov/d/kfaf-msfz","license":"http://opendatacommons.org/licenses/pddl/1.0/","modified":"2026-09-23","publisher":{"@type":"org:Organization","name":"data.bloomington.in.gov"},"theme":["Utilities & Water"],"title":"Sanitary Sewer Overflows"},"description":"Sanitary Sewer Overflows (SSO) are releases of untreated sewage into the environment. City of Bloomington Utilities Department records and maintains data for all SSO events that occur within Bloomington's wastewater collection and treatment system. Additionally, each event is reported to the Indiana Department of Environmental Management.","distribution_titles":[],"harvest_record":"https://catalog.data.gov/harvest_record/46a5c079-26e1-4f12-a185-8845ada061b7","harvest_record_raw":"https://catalog.data.gov/harvest_record/46a5c079-26e1-4f12-a185-8845ada061b7/raw","has_download":true,"has_spatial":false,"identifier":"https://data.bloomington.in.gov/api/views/kfaf-msfz","keyword":["untagged"],"last_harvested_date":"2026-09-23T19:05:24.208925","organization":{"aliases":["indiana"],"code_repo_exempt":false,"code_repo_url":null,"description":null,"id":"7550a5ee-be88-43e1-8dd7-14a5f120ab37","logo":"https://raw.githubusercontent.com/GSA/logo/refs/heads/master/city_bloomington_in.png","name":"City of Bloomington","organization_type":"City Government","slug":"bloomington-in"},"parent_identifier":null,"popularity":0,"publisher":"data.bloomington.in.gov","slug":"sanitary-sewer-overflows","spatial_centroid":null,"spatial_shape":null,"theme":["Utilities & Water"],"title":"Sanitary Sewer Overflows","type":"dataset"},{"_score":5.547016,"_sort":[1790190260067,5.547016,1,"0b2d10bc-2a1a-424f-8c26-15ef45fdaf2e"],"dcat":{"@type":"dcat:Dataset","accessLevel":"public","contactPoint":{"@type":"vcard:Contact","fn":"TempeData","hasEmail":"mailto:data@tempe.gov"},"description":"<p style='background-color:rgb(255, 255, 255); border:0px solid currentcolor; box-sizing:border-box; color:rgb(74, 74, 74); font-family:&quot;Avenir Next&quot;, Avenir, &quot;Helvetica Neue&quot;, sans-serif; font-size:16px; font-style:normal; font-variant-caps:normal; font-variant-ligatures:normal; font-weight:400; letter-spacing:normal; margin:0px 0px 1rem; text-align:start; text-decoration-color:initial; text-decoration-style:initial; text-indent:0px; text-transform:none; word-spacing:0px;'>This page provides data for the Tree and Shade Canopy performance measure.</p><p style='background-color:rgb(255, 255, 255); border:0px solid currentcolor; box-sizing:border-box; color:rgb(74, 74, 74); font-family:&quot;Avenir Next&quot;, Avenir, &quot;Helvetica Neue&quot;, sans-serif; font-size:16px; font-style:normal; font-variant-caps:normal; font-variant-ligatures:normal; font-weight:400; letter-spacing:normal; margin:0px 0px 1rem; text-align:start; text-decoration-color:initial; text-decoration-style:initial; text-indent:0px; text-transform:none; word-spacing:0px;'>Sustainable growth for the City of Tempe is influenced by many factors, including the development and maintenance of our tree canopy. An adequate canopy provides shade, cooling, reduces water evaporation, and is an indication of a healthy and well-maintained environment. As per the Urban Forestry Master Plan, this data represents tree canopy in parks, street right-of-ways, and municipally owned and managed facilities.</p><p style='background-color:rgb(255, 255, 255); border:0px solid currentcolor; box-sizing:border-box; color:rgb(74, 74, 74); font-family:&quot;Avenir Next&quot;, Avenir, &quot;Helvetica Neue&quot;, sans-serif; font-size:16px; font-style:normal; font-variant-caps:normal; font-variant-ligatures:normal; font-weight:400; letter-spacing:normal; line-height:17.12px; margin:0in 0in 0in 0px; text-align:start; text-decoration-color:initial; text-decoration-style:initial; text-indent:0px; text-transform:none; word-spacing:0px;'><span style='font-family:inherit;'><span style='border:0px solid currentcolor; box-sizing:border-box; line-height:1.5;'>View this performance measure dashboard at </span></span><a style='border:0px solid currentcolor; box-sizing:border-box; color:rgb(0, 97, 155); font-family:inherit; line-height:1.5; text-decoration:none;' target='_blank' href='https://performance.tempe.gov/' rel='nofollow ugc noopener noreferrer'><span style='font-family:inherit;'><span style='border:0px solid currentcolor; box-sizing:border-box; line-height:1.5;'>performance.tempe.gov</span></span></a><span style='font-family:inherit;'><span style='border:0px solid currentcolor; box-sizing:border-box; line-height:1.5;'>. Select <strong>Sustainable Growth &amp; Development</strong>, then select the link for Performance Measure 4.11.</span></span></p><p style='background-color:rgb(255, 255, 255); border:0px solid currentcolor; box-sizing:border-box; color:rgb(74, 74, 74); font-family:&quot;Avenir Next&quot;, Avenir, &quot;Helvetica Neue&quot;, sans-serif; font-size:16px; font-style:normal; font-variant-caps:normal; font-variant-ligatures:normal; font-weight:400; letter-spacing:normal; line-height:17.12px; margin:0in 0in 0in 0px; text-align:start; text-decoration-color:initial; text-decoration-style:initial; text-indent:0px; text-transform:none; word-spacing:0px;'>&nbsp;</p><p style='background-color:rgb(255, 255, 255); border:0px solid currentcolor; box-sizing:border-box; color:rgb(74, 74, 74); font-family:&quot;Avenir Next&quot;, Avenir, &quot;Helvetica Neue&quot;, sans-serif; font-size:16px; font-style:normal; font-variant-caps:normal; font-variant-ligatures:normal; font-weight:400; letter-spacing:normal; line-height:17.12px; margin:0in 0in 0in 0px; text-align:start; text-decoration-color:initial; text-decoration-style:initial; text-indent:0px; text-transform:none; word-spacing:0px;'><a style='border:0px solid currentcolor; box-sizing:border-box; color:rgb(0, 97, 155); font-family:inherit; line-height:1.5; text-decoration:none;' target='_blank' href='https://tempe.gitbook.io/data-dictionary/environment-and-sustainability/4.11-tree-coverage' rel='nofollow ugc noopener noreferrer'><span style='font-family:inherit; font-size:18px;'><span style='border:0px solid currentcolor; box-sizing:border-box; line-height:1.5;'><strong>Data Dictionary</strong></span></span></a></p><p style='background-color:rgb(255, 255, 255); border:0px solid currentcolor; box-sizing:border-box; color:rgb(74, 74, 74); font-family:&quot;Avenir Next&quot;, Avenir, &quot;Helvetica Neue&quot;, sans-serif; font-size:16px; font-style:normal; font-variant-caps:normal; font-variant-ligatures:normal; font-weight:400; letter-spacing:normal; line-height:17.12px; margin:0in 0in 0in 0px; text-align:start; text-decoration-color:initial; text-decoration-style:initial; text-indent:0px; text-transform:none; word-spacing:0px;'>&nbsp;</p><div style='background-color:rgb(255, 255, 255); border:0px solid currentcolor; box-sizing:border-box; color:rgb(74, 74, 74); font-family:&quot;Avenir Next&quot;, Avenir, &quot;Helvetica Neue&quot;, sans-serif; font-size:16px; font-style:normal; font-variant-caps:normal; font-variant-ligatures:normal; font-weight:400; letter-spacing:normal; line-height:1.5; text-align:start; text-decoration-color:initial; text-decoration-style:initial; text-indent:0px; text-transform:none; word-spacing:0px;'><hr /><div style='border:0px solid currentcolor; box-sizing:border-box; font-family:inherit; line-height:1.5;'><div style='border:0px solid currentcolor; box-sizing:border-box; font-family:inherit; line-height:1.5;'><p style='border:0px solid currentcolor; box-sizing:border-box; margin:0px 0px 1rem;'><span style='font-family:inherit; font-size:18px;'><span style='border:0px solid currentcolor; box-sizing:border-box; line-height:1.5;'><strong>Additional Information&nbsp;</strong></span></span></p><div style='border:0px solid currentcolor; box-sizing:border-box; font-family:inherit; line-height:1.5;'>&nbsp;</div><div style='border:0px solid currentcolor; box-sizing:border-box; font-family:inherit; line-height:1.5;'><span style='color:hsl(240,3%,30%); font-family:inherit;'><span style='border:0px solid currentcolor; box-sizing:border-box; line-height:1.5;'><strong>Source:</strong>&nbsp;</span></span></div><div style='border:0px solid currentcolor; box-sizing:border-box; font-family:inherit; line-height:1.5;'>&nbsp;</div><div style='border:0px solid currentcolor; box-sizing:border-box; font-family:inherit; line-height:1.5;'><strong>Contact:</strong>\u202f <span style='background-color:rgb(255,255,255); color:rgb(74,74,74); font-family:inherit; font-size:16px;'><span style='border:0px solid currentcolor; box-sizing:border-box; display:inline !important; float:none; font-style:normal; font-variant-caps:normal; font-variant-ligatures:normal; font-weight:400; letter-spacing:normal; line-height:1.5; text-align:start; text-decoration-color:initial; text-decoration-style:initial; text-indent:0px; text-transform:none; word-spacing:0px;'>Craig Hayton</span></span></div><div style='border:0px solid currentcolor; box-sizing:border-box; font-family:inherit; line-height:1.5;'>&nbsp;</div><div style='border:0px solid currentcolor; box-sizing:border-box; font-family:inherit; line-height:1.5;'><strong>Contact E-Mail:\u202f</strong><a style='border:0px solid currentcolor; box-sizing:border-box; color:rgb(0, 97, 155); font-family:inherit; line-height:1.5; text-decoration:none;' href='mailto:Craig_Hayton@tempe.gov' rel='nofollow ugc'>Craig_Hayton@tempe.gov</a></div><div style='border:0px solid currentcolor; box-sizing:border-box; font-family:inherit; line-height:1.5;'>&nbsp;</div><div style='border:0px solid currentcolor; box-sizing:border-box; font-family:inherit; line-height:1.5;'><strong>Data Source Type</strong>:\u202f <span style='background-color:rgb(255,255,255); color:rgb(74,74,74); font-family:inherit; font-size:16px;'><span style='border:0px solid currentcolor; box-sizing:border-box; display:inline !important; float:none; font-style:normal; font-variant-caps:normal; font-variant-ligatures:normal; font-weight:400; letter-spacing:normal; line-height:1.5; text-align:start; text-decoration-color:initial; text-decoration-style:initial; text-indent:0px; text-transform:none; word-spacing:0px;'>CSV</span></span></div><div style='border:0px solid currentcolor; box-sizing:border-box; font-family:inherit; line-height:1.5;'>&nbsp;</div><div style='border:0px solid currentcolor; box-sizing:border-box; font-family:inherit; line-height:1.5;'><strong>Preparation Method:</strong>\u202f&nbsp;<span style='background-color:rgb(255,255,255); color:rgb(74,74,74); font-family:inherit; font-size:16px;'><span style='border:0px solid currentcolor; box-sizing:border-box; display:inline !important; float:none; font-style:normal; font-variant-caps:normal; font-variant-ligatures:normal; font-weight:400; letter-spacing:normal; line-height:1.5; text-align:start; text-decoration-color:initial; text-decoration-style:initial; text-indent:0px; text-transform:none; word-spacing:0px;'>Tracked by staff quarterly</span></span></div><div style='border:0px solid currentcolor; box-sizing:border-box; font-family:inherit; line-height:1.5;'>&nbsp;</div><div style='border:0px solid currentcolor; box-sizing:border-box; font-family:inherit; line-height:1.5;'><strong>Publish Frequency:</strong>\u202f Annual</div><div style='border:0px solid currentcolor; box-sizing:border-box; font-family:inherit; line-height:1.5;'>&nbsp;</div><div style='border:0px solid currentcolor; box-sizing:border-box; font-family:inherit; line-height:1.5;'><strong>Publish Method:\u202f</strong>Manual</div></div></div></div>","distribution":[{"@type":"dcat:Distribution","accessURL":"https://data.tempe.gov/api/download/v1/items/adf739463c1142ba813d13a9969afbda/csv?layers=0","format":"CSV","mediaType":"text/csv","title":"CSV"},{"@type":"dcat:Distribution","accessURL":"https://data.tempe.gov/api/download/v1/items/adf739463c1142ba813d13a9969afbda/geojson?layers=0","format":"GeoJSON","mediaType":"application/vnd.geo+json","title":"GeoJSON"},{"@type":"dcat:Distribution","accessURL":"https://data.tempe.gov/api/download/v1/items/adf739463c1142ba813d13a9969afbda/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/adf739463c1142ba813d13a9969afbda/shapefile?layers=0","format":"ZIP","mediaType":"application/zip","title":"Shapefile"},{"@type":"dcat:Distribution","accessURL":"https://data.tempe.gov/datasets/tempegov::4-11-tree-coverage-summary","format":"Web Page","mediaType":"text/html","title":"ArcGIS Hub Dataset"},{"@type":"dcat:Distribution","accessURL":"https://services.arcgis.com/lQySeXwbBg53XWDi/arcgis/rest/services/4.11_Tree_Coverage_(summary)_-_OD/FeatureServer/0","format":"ArcGIS GeoServices REST API","mediaType":"application/json","title":"ArcGIS GeoService"}],"identifier":"https://www.arcgis.com/home/item.html?id=adf739463c1142ba813d13a9969afbda&sublayer=0","issued":"2026-09-03T01:08:13.000Z","keyword":["Sustainability","Sustainable Growth and Development","Tree Coverage (PM 4.11)","Trees","Urban Forest"],"landingPage":"https://data.tempe.gov/datasets/tempegov::4-11-tree-coverage-summary","license":"https://creativecommons.org/licenses/by/4.0","modified":"2026-09-22T22:24:24.072Z","publisher":{"name":"City of Tempe"},"spatial":"\"\"","theme":["geospatial"],"title":"4.11 Tree Coverage (summary)"},"description":"<p style='background-color:rgb(255, 255, 255); border:0px solid currentcolor; box-sizing:border-box; color:rgb(74, 74, 74); font-family:&quot;Avenir Next&quot;, Avenir, &quot;Helvetica Neue&quot;, sans-serif; font-size:16px; font-style:normal; font-variant-caps:normal; font-variant-ligatures:normal; font-weight:400; letter-spacing:normal; margin:0px 0px 1rem; text-align:start; text-decoration-color:initial; text-decoration-style:initial; text-indent:0px; text-transform:none; word-spacing:0px;'>This page provides data for the Tree and Shade Canopy performance measure.</p><p style='background-color:rgb(255, 255, 255); border:0px solid currentcolor; box-sizing:border-box; color:rgb(74, 74, 74); font-family:&quot;Avenir Next&quot;, Avenir, &quot;Helvetica Neue&quot;, sans-serif; font-size:16px; font-style:normal; font-variant-caps:normal; font-variant-ligatures:normal; font-weight:400; letter-spacing:normal; margin:0px 0px 1rem; text-align:start; text-decoration-color:initial; text-decoration-style:initial; text-indent:0px; text-transform:none; word-spacing:0px;'>Sustainable growth for the City of Tempe is influenced by many factors, including the development and maintenance of our tree canopy. An adequate canopy provides shade, cooling, reduces water evaporation, and is an indication of a healthy and well-maintained environment. As per the Urban Forestry Master Plan, this data represents tree canopy in parks, street right-of-ways, and municipally owned and managed facilities.</p><p style='background-color:rgb(255, 255, 255); border:0px solid currentcolor; box-sizing:border-box; color:rgb(74, 74, 74); font-family:&quot;Avenir Next&quot;, Avenir, &quot;Helvetica Neue&quot;, sans-serif; font-size:16px; font-style:normal; font-variant-caps:normal; font-variant-ligatures:normal; font-weight:400; letter-spacing:normal; line-height:17.12px; margin:0in 0in 0in 0px; text-align:start; text-decoration-color:initial; text-decoration-style:initial; text-indent:0px; text-transform:none; word-spacing:0px;'><span style='font-family:inherit;'><span style='border:0px solid currentcolor; box-sizing:border-box; line-height:1.5;'>View this performance measure dashboard at </span></span><a style='border:0px solid currentcolor; box-sizing:border-box; color:rgb(0, 97, 155); font-family:inherit; line-height:1.5; text-decoration:none;' target='_blank' href='https://performance.tempe.gov/' rel='nofollow ugc noopener noreferrer'><span style='font-family:inherit;'><span style='border:0px solid currentcolor; box-sizing:border-box; line-height:1.5;'>performance.tempe.gov</span></span></a><span style='font-family:inherit;'><span style='border:0px solid currentcolor; box-sizing:border-box; line-height:1.5;'>. Select <strong>Sustainable Growth &amp; Development</strong>, then select the link for Performance Measure 4.11.</span></span></p><p style='background-color:rgb(255, 255, 255); border:0px solid currentcolor; box-sizing:border-box; color:rgb(74, 74, 74); font-family:&quot;Avenir Next&quot;, Avenir, &quot;Helvetica Neue&quot;, sans-serif; font-size:16px; font-style:normal; font-variant-caps:normal; font-variant-ligatures:normal; font-weight:400; letter-spacing:normal; line-height:17.12px; margin:0in 0in 0in 0px; text-align:start; text-decoration-color:initial; text-decoration-style:initial; text-indent:0px; text-transform:none; word-spacing:0px;'>&nbsp;</p><p style='background-color:rgb(255, 255, 255); border:0px solid currentcolor; box-sizing:border-box; color:rgb(74, 74, 74); font-family:&quot;Avenir Next&quot;, Avenir, &quot;Helvetica Neue&quot;, sans-serif; font-size:16px; font-style:normal; font-variant-caps:normal; font-variant-ligatures:normal; font-weight:400; letter-spacing:normal; line-height:17.12px; margin:0in 0in 0in 0px; text-align:start; text-decoration-color:initial; text-decoration-style:initial; text-indent:0px; text-transform:none; word-spacing:0px;'><a style='border:0px solid currentcolor; box-sizing:border-box; color:rgb(0, 97, 155); font-family:inherit; line-height:1.5; text-decoration:none;' target='_blank' href='https://tempe.gitbook.io/data-dictionary/environment-and-sustainability/4.11-tree-coverage' rel='nofollow ugc noopener noreferrer'><span style='font-family:inherit; font-size:18px;'><span style='border:0px solid currentcolor; box-sizing:border-box; line-height:1.5;'><strong>Data Dictionary</strong></span></span></a></p><p style='background-color:rgb(255, 255, 255); border:0px solid currentcolor; box-sizing:border-box; color:rgb(74, 74, 74); font-family:&quot;Avenir Next&quot;, Avenir, &quot;Helvetica Neue&quot;, sans-serif; font-size:16px; font-style:normal; font-variant-caps:normal; font-variant-ligatures:normal; font-weight:400; letter-spacing:normal; line-height:17.12px; margin:0in 0in 0in 0px; text-align:start; text-decoration-color:initial; text-decoration-style:initial; text-indent:0px; text-transform:none; word-spacing:0px;'>&nbsp;</p><div style='background-color:rgb(255, 255, 255); border:0px solid currentcolor; box-sizing:border-box; color:rgb(74, 74, 74); font-family:&quot;Avenir Next&quot;, Avenir, &quot;Helvetica Neue&quot;, sans-serif; font-size:16px; font-style:normal; font-variant-caps:normal; font-variant-ligatures:normal; font-weight:400; letter-spacing:normal; line-height:1.5; text-align:start; text-decoration-color:initial; text-decoration-style:initial; text-indent:0px; text-transform:none; word-spacing:0px;'><hr /><div style='border:0px solid currentcolor; box-sizing:border-box; font-family:inherit; line-height:1.5;'><div style='border:0px solid currentcolor; box-sizing:border-box; font-family:inherit; line-height:1.5;'><p style='border:0px solid currentcolor; box-sizing:border-box; margin:0px 0px 1rem;'><span style='font-family:inherit; font-size:18px;'><span style='border:0px solid currentcolor; box-sizing:border-box; line-height:1.5;'><strong>Additional Information&nbsp;</strong></span></span></p><div style='border:0px solid currentcolor; box-sizing:border-box; font-family:inherit; line-height:1.5;'>&nbsp;</div><div style='border:0px solid currentcolor; box-sizing:border-box; font-family:inherit; line-height:1.5;'><span style='color:hsl(240,3%,30%); font-family:inherit;'><span style='border:0px solid currentcolor; box-sizing:border-box; line-height:1.5;'><strong>Source:</strong>&nbsp;</span></span></div><div style='border:0px solid currentcolor; box-sizing:border-box; font-family:inherit; line-height:1.5;'>&nbsp;</div><div style='border:0px solid currentcolor; box-sizing:border-box; font-family:inherit; line-height:1.5;'><strong>Contact:</strong>\u202f <span style='background-color:rgb(255,255,255); color:rgb(74,74,74); font-family:inherit; font-size:16px;'><span style='border:0px solid currentcolor; box-sizing:border-box; display:inline !important; float:none; font-style:normal; font-variant-caps:normal; font-variant-ligatures:normal; font-weight:400; letter-spacing:normal; line-height:1.5; text-align:start; text-decoration-color:initial; text-decoration-style:initial; text-indent:0px; text-transform:none; word-spacing:0px;'>Craig Hayton</span></span></div><div style='border:0px solid currentcolor; box-sizing:border-box; font-family:inherit; line-height:1.5;'>&nbsp;</div><div style='border:0px solid currentcolor; box-sizing:border-box; font-family:inherit; line-height:1.5;'><strong>Contact E-Mail:\u202f</strong><a style='border:0px solid currentcolor; box-sizing:border-box; color:rgb(0, 97, 155); font-family:inherit; line-height:1.5; text-decoration:none;' href='mailto:Craig_Hayton@tempe.gov' rel='nofollow ugc'>Craig_Hayton@tempe.gov</a></div><div style='border:0px solid currentcolor; box-sizing:border-box; font-family:inherit; line-height:1.5;'>&nbsp;</div><div style='border:0px solid currentcolor; box-sizing:border-box; font-family:inherit; line-height:1.5;'><strong>Data Source Type</strong>:\u202f <span style='background-color:rgb(255,255,255); color:rgb(74,74,74); font-family:inherit; font-size:16px;'><span style='border:0px solid currentcolor; box-sizing:border-box; display:inline !important; float:none; font-style:normal; font-variant-caps:normal; font-variant-ligatures:normal; font-weight:400; letter-spacing:normal; line-height:1.5; text-align:start; text-decoration-color:initial; text-decoration-style:initial; text-indent:0px; text-transform:none; word-spacing:0px;'>CSV</span></span></div><div style='border:0px solid currentcolor; box-sizing:border-box; font-family:inherit; line-height:1.5;'>&nbsp;</div><div style='border:0px solid currentcolor; box-sizing:border-box; font-family:inherit; line-height:1.5;'><strong>Preparation Method:</strong>\u202f&nbsp;<span style='background-color:rgb(255,255,255); color:rgb(74,74,74); font-family:inherit; font-size:16px;'><span style='border:0px solid currentcolor; 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Congressional Earmark Grant/National Institute of Standards and Technology. Grant No: 60NANB23D206, 10/1/2023-9/30/2026; b) Erdal, S. ComEd Hyperlocal Air Quality Assessment. RHP Risk Management/ComEd/Exelon, LLC. 1/16/2025-1/31/2026.\n\nFor more information on Open Air Chicago, please visit: <a href=\"https://www.chicago.gov/","distribution":[{"@type":"dcat:Distribution","describedBy":"https://data.cityofchicago.org/api/views/xfya-dxtq/columns.json","describedByType":"application/json","downloadURL":"https://data.cityofchicago.org/api/v3/views/xfya-dxtq/query.json?accessType=DOWNLOAD","mediaType":"application/json"},{"@type":"dcat:Distribution","describedBy":"https://data.cityofchicago.org/api/views/xfya-dxtq/columns.xml","describedByType":"application/xml","downloadURL":"https://data.cityofchicago.org/api/v3/views/xfya-dxtq/query.xml?accessType=DOWNLOAD","mediaType":"application/xml"},{"@type":"dcat:Distribution","downloadURL":"https://data.cityofchicago.org/api/v3/views/xfya-dxtq/export.csv?accessType=DOWNLOAD","mediaType":"text/csv"},{"@type":"dcat:Distribution","downloadURL":"https://data.cityofchicago.org/api/v3/views/xfya-dxtq/export.kml?accessType=DOWNLOAD","mediaType":"application/vnd.google-earth.kml+xml"},{"@type":"dcat:Distribution","downloadURL":"https://data.cityofchicago.org/api/v3/views/xfya-dxtq/export.kmz?accessType=DOWNLOAD","mediaType":"application/vnd.google-earth.kmz"},{"@type":"dcat:Distribution","downloadURL":"https://data.cityofchicago.org/api/v3/views/xfya-dxtq/query.geojson?accessType=DOWNLOAD","mediaType":"application/geo+json"}],"identifier":"https://data.cityofchicago.org/api/views/xfya-dxtq","issued":"2026-01-26","keyword":["air quality","air quality index","aqi","health","nitrogen dioxide","particulate matter","public health","sensors","weather"],"landingPage":"https://data.cityofchicago.org/d/xfya-dxtq","modified":"2026-09-23","publisher":{"@type":"org:Organization","name":"data.cityofchicago.org"},"theme":["Health & Human Services"],"title":"Open Air Chicago Individual Measurements"},"description":"Sensors deployed throughout the City by Open Air Chicago measuring fine particulate matter 2.5 (PM2.5) and nitrogen dioxide (NO2). All sensors collect data on PM2.5 and NO2. Six sensors also collect data on black carbon (BC) and current weather conditions.\n\nEach row in this dataset reflects a single measurement from a single Clarity Node-S sensor. The data are sensor-based and not for regulatory purposes. The individual measurements in this dataset are the highest-resolution measurements, derived from single readings taken by a Clarity Node-S. They are timestamped to reflect the exact moment they were recorded, for example 12:56:21 UTC.\n\nThere are related datasets linked below that aggregate by hour or day.\n\n<b>Special Note: As of the launch date of this dataset, the black carbon modules are currently offline. All related metrics are unavailable until further notice and will appear as blank in the dataset.</b>\n\nSome metrics have ready-to-use values directly from the sensor. No further processing occurs. Examples are temperature, relative humidity, and wind. Other metrics have raw data processed further in the Clarity cloud. We call these metrics \"cloud-calibrated.\" Examples are PM2.5 and NO2, which have a global correction factor applied. Column names end in either .raw or .value. For direct-from-sensor metrics, raw and value are the same. For cloud-calibrated metrics raw is from the sensor and value is cloud-calibrated and different from raw.\n\nFor more information, please visit:  \nwww.clarity.io/blog/v2-1-pm2-5-global-calibration\nwww.clarity.io/blog/introducing-claritys-global-no2-calibration-model.\n\nMetrics related to black carbon, ambient temperature, relative humidity, and wind speed and direction are for research purposes being conducted by UIC SPH. In addition to the 277 sensors deployed as part of the Open Air Chicago network, there are additional sensors installed at federal monitoring sites to inform the development of a potential local correction factor. \n\nThis dataset is limited to measurements that have met Clarity's automated data quality control checks to ensure the data are high quality. For more information, please visit: https://click.clarity.io/knowledge/quality-control. If you are interested a dataset that includes invalidated data, please submit a data request at <a href=\"https://www.chicago.gov/city/en/depts/cdph/provdrs/health_data_and_reports/svcs/data-request-form.html\" target=\"_blank\">this link</a>.\n\nOpen Air Chicago is a citywide project consisting of 277 non-regulatory, air sensors installed in Summer 2025. It was founded by the Chicago Department of Public Health (CDPH) and the University of Illinois at Chicago School of Public Health (UIC SPH). 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The FF&C license is issued by the Department and allows the license holder (or employees of the license holder) to:\r\n\r\n\u2022 purchase and resell, trade or barter marine fish or crustaceans as food or bait;\r\n\r\n\u2022 operate a facility for packing, holding or storing marine fish or crustaceans prior to consignment, transport or sale;\r\n\r\n\u2022 ship, transport or traffic in marine fish or crustaceans for resale, trade or barter to persons other than the final consumer within the state;\r\n\r\n\u2022 export food fish or crustacea landed in New York to outside the state.\r\n\r\nThe FF&C license can be issued to a business (corporate entity) or to an individual and can be issued to both residents of New York State and non-residents. The license expires on December 31st of the year it is issued, and license holders must apply annually in order to be issued the license. 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The FF&C license is issued by the Department and allows the license holder (or employees of the license holder) to:\r\n\r\n\u2022 purchase and resell, trade or barter marine fish or crustaceans as food or bait;\r\n\r\n\u2022 operate a facility for packing, holding or storing marine fish or crustaceans prior to consignment, transport or sale;\r\n\r\n\u2022 ship, transport or traffic in marine fish or crustaceans for resale, trade or barter to persons other than the final consumer within the state;\r\n\r\n\u2022 export food fish or crustacea landed in New York to outside the state.\r\n\r\nThe FF&C license can be issued to a business (corporate entity) or to an individual and can be issued to both residents of New York State and non-residents. The license expires on December 31st of the year it is issued, and license holders must apply annually in order to be issued the license. This list includes name (either corporate or an individual person), city, county, state, county FIPS code if in New York, and dealer status.","distribution_titles":[],"harvest_record":"https://catalog.data.gov/harvest_record/1d3d0212-5581-4ff6-8af6-c3f12b8076f6","harvest_record_raw":"https://catalog.data.gov/harvest_record/1d3d0212-5581-4ff6-8af6-c3f12b8076f6/raw","has_download":true,"has_spatial":false,"identifier":"https://data.ny.gov/api/views/y68z-xdcv","keyword":["crustacean","dealer license","dealer permit","fish","saltwater fish","seafood dealer","seafood market","shellfish"],"last_harvested_date":"2026-09-23T18:49:59.224379","organization":{"aliases":["ny"],"code_repo_exempt":false,"code_repo_url":null,"description":null,"id":"dde3fc99-e074-41cf-a843-14aa9c777889","logo":"https://raw.githubusercontent.com/GSA/logo/refs/heads/master/state_NY.png","name":"State of New York","organization_type":"State 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SUMMARY</strong>\nThe Municipal Natural Gas Equipment Inventory serves to catalog natural gas-fueled equipment used in municipally owned buildings. \nThis inventory, implemented by the SF Environment Department, aims to establish an understanding of the scope of work needed to electrify municipal buildings and inform an effective and collaborative planning process.\nThis effort was identified as an action in Section BO-2.4 of the  <u><a href=\"https://www.sfenvironment.org/files/events/2021_climate_action_plan.pdf\">2021 Climate Action Plan</a></u> and is included in the <u><a href=\"https://codelibrary.amlegal.com/codes/san_francisco/latest/sf_environment/0-0-0-577\">Environment Code Chapter 7</a></u> (Municipal Green Building Requirements). \n\n<strong>B. HOW THE DATASET IS CREATED</strong>\nThe list of buildings required to report data for the Municipal Natural Gas Equipment Inventory was compiled by cross-referencing the City\u2019s  <u><a href=\"https://data.sfgov.org/City-Infrastructure/City-Facilities/nc68-ngbr/about_datax\">Facility Systems of Record</a></u> and the  <u><a href=\"https://sfpuc.org/about-us/reports/municipal-buildings-energy-benchmarking\">2020 municipal benchmarking report</a></u> to identify all city-owned buildings with non-zero carbon emissions. Numerous municipal buildings are exempt from these reporting requirements, including facilities of the Port of San Francisco and buildings with a primary purpose of providing collection, storage, treatment, delivery, distribution, and/or transmission of water, wastewater, and/or power utilities. \nEach department received an inventory template, provided by the Environment Department, to submit high level building data and detailed information on each piece of natural gas equipment in use in these buildings. Departments were asked to self-report the required building and equipment data over the course of a 6-month data collection period in 2023 and are asked to keep this inventory up to date in the following years as equipment is replaced. \n\n<strong>C. UPDATE PROCESS</strong>\nThe inventory will be regularly updated by department representatives via the inventory PowerApp. When a gas-powered equipment item is retired or replaced, departments are asked to mark it as no longer in use and provide information on any electric replacement equipment, if applicable. While departments have the flexibility to update the inventory at any time, they are encouraged to do so at 6 month intervals at the minimum. \n\nUpdated inventory data will be automatically reflected in this dataset. \n\n<strong>D. HOW TO USE THIS DATASET</strong>\nIt is important to note that this dataset does not include facilities of the Port of San Francisco and buildings with a primary purpose of providing collection, storage, treatment, delivery, distribution, and/or transmission of water, wastewater, and/or power utilities, in accordance with Environment Code Chapter 7 exemptions.","distribution":[{"@type":"dcat:Distribution","describedBy":"https://data.sf.gov/api/views/vc6r-v7av/columns.json","describedByType":"application/json","downloadURL":"https://data.sf.gov/api/v3/views/vc6r-v7av/query.json?accessType=DOWNLOAD","mediaType":"application/json"},{"@type":"dcat:Distribution","describedBy":"https://data.sf.gov/api/views/vc6r-v7av/columns.xml","describedByType":"application/xml","downloadURL":"https://data.sf.gov/api/v3/views/vc6r-v7av/query.xml?accessType=DOWNLOAD","mediaType":"application/xml"},{"@type":"dcat:Distribution","downloadURL":"https://data.sf.gov/api/v3/views/vc6r-v7av/export.csv?accessType=DOWNLOAD","mediaType":"text/csv"},{"@type":"dcat:Distribution","downloadURL":"https://data.sf.gov/api/v3/views/vc6r-v7av/export.kml?accessType=DOWNLOAD","mediaType":"application/vnd.google-earth.kml+xml"},{"@type":"dcat:Distribution","downloadURL":"https://data.sf.gov/api/v3/views/vc6r-v7av/export.kmz?accessType=DOWNLOAD","mediaType":"application/vnd.google-earth.kmz"},{"@type":"dcat:Distribution","downloadURL":"https://data.sf.gov/api/v3/views/vc6r-v7av/query.geojson?accessType=DOWNLOAD","mediaType":"application/geo+json"}],"identifier":"https://data.sf.gov/api/views/vc6r-v7av","issued":"2024-03-28","keyword":["environment","environmental health","greenhouse gas emissions","natural gas"],"landingPage":"https://data.sf.gov/d/vc6r-v7av","modified":"2026-09-18","publisher":{"@type":"org:Organization","name":"data.sf.gov"},"theme":["Energy and Environment"],"title":"San Francisco Municipal Natural Gas Equipment Inventory"},"description":"<strong>A. SUMMARY</strong>\nThe Municipal Natural Gas Equipment Inventory serves to catalog natural gas-fueled equipment used in municipally owned buildings. \nThis inventory, implemented by the SF Environment Department, aims to establish an understanding of the scope of work needed to electrify municipal buildings and inform an effective and collaborative planning process.\nThis effort was identified as an action in Section BO-2.4 of the  <u><a href=\"https://www.sfenvironment.org/files/events/2021_climate_action_plan.pdf\">2021 Climate Action Plan</a></u> and is included in the <u><a href=\"https://codelibrary.amlegal.com/codes/san_francisco/latest/sf_environment/0-0-0-577\">Environment Code Chapter 7</a></u> (Municipal Green Building Requirements). \n\n<strong>B. HOW THE DATASET IS CREATED</strong>\nThe list of buildings required to report data for the Municipal Natural Gas Equipment Inventory was compiled by cross-referencing the City\u2019s  <u><a href=\"https://data.sfgov.org/City-Infrastructure/City-Facilities/nc68-ngbr/about_datax\">Facility Systems of Record</a></u> and the  <u><a href=\"https://sfpuc.org/about-us/reports/municipal-buildings-energy-benchmarking\">2020 municipal benchmarking report</a></u> to identify all city-owned buildings with non-zero carbon emissions. Numerous municipal buildings are exempt from these reporting requirements, including facilities of the Port of San Francisco and buildings with a primary purpose of providing collection, storage, treatment, delivery, distribution, and/or transmission of water, wastewater, and/or power utilities. \nEach department received an inventory template, provided by the Environment Department, to submit high level building data and detailed information on each piece of natural gas equipment in use in these buildings. Departments were asked to self-report the required building and equipment data over the course of a 6-month data collection period in 2023 and are asked to keep this inventory up to date in the following years as equipment is replaced. \n\n<strong>C. UPDATE PROCESS</strong>\nThe inventory will be regularly updated by department representatives via the inventory PowerApp. When a gas-powered equipment item is retired or replaced, departments are asked to mark it as no longer in use and provide information on any electric replacement equipment, if applicable. While departments have the flexibility to update the inventory at any time, they are encouraged to do so at 6 month intervals at the minimum. \n\nUpdated inventory data will be automatically reflected in this dataset. \n\n<strong>D. 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We call these metrics \"cloud-calibrated.\" Examples are PM2.5 and NO2, which have a global correction factor applied. Column names end in either .raw or .value. For direct-from-sensor metrics, raw and value are the same. For cloud-calibrated metrics raw is from the sensor and value is cloud-calibrated and different from raw.\n\nFor more information, please visit:  \nwww.clarity.io/blog/v2-1-pm2-5-global-calibration\nwww.clarity.io/blog/introducing-claritys-global-no2-calibration-model.\n\nMetrics related to black carbon, ambient temperature, relative humidity, and wind speed and direction are for research purposes being conducted by UIC SPH. In addition to the 277 sensors deployed as part of the Open Air Chicago network, there are additional sensors installed at federal monitoring sites to inform the development of a potential local correction factor. \n\nThis dataset is limited to measurements that have met Clarity's automated data quality control checks to ensure the data are high quality. For more information, please visit: https://click.clarity.io/knowledge/quality-control. If you are interested a dataset that includes invalidated data, please submit a data request at <a href=\"https://www.chicago.gov/city/en/depts/cdph/provdrs/health_data_and_reports/svcs/data-request-form.html\" target=\"_blank\">this link</a>.\n\nOpen Air Chicago is a citywide project consisting of 277 non-regulatory, air sensors installed in Summer 2025. It was founded by the Chicago Department of Public Health (CDPH) and the University of Illinois at Chicago School of Public Health (UIC SPH). The development of the network was supported by an advisory board and other partners, including the following: Alliance of the Southeast, Chicago Environmental Justice Network, Communities United, Grow Greater Englewood, Little Village Environmental Justice Organization, Neighbors for Environmental Justice, ONE Northside, Openlands. People for Community Recovery, Pilsen Environmental Rights and Reform Organization, Southeast Environmental Task Force, The Southwest Collective and the Westside Cultural Alliance, Chicago Department of Transportation, Cook County Department of Environment and Sustainability, Illinois Environmental Protection Agency, RHP Risk Management, University of Illinois Urbana-Champaign, Clarity Movement Company, and Illinois Public Health Institute.\n\nDr. Serap Erdal from UIC SPH was awarded two grants to support Open Air Chicago, which are: a) Erdal. S. Community-Driven Air Quality and Environmental Justice Assessment. Congressional Earmark Grant/National Institute of Standards and Technology. Grant No: 60NANB23D206, 10/1/2023-9/30/2026; b) Erdal, S. ComEd Hyperlocal Air Quality Assessment. RHP Risk Management/ComEd/Exelon, LLC. 1/16/2025-1/31/2026.\n\nFor more information on Open Air Chicago, please visit: <a href=\"https://www.chicago.gov/city/en/depts/cdph/supp_info/Environment/open-air-chicago.html\" target=\"_blank\">Open Air Chicago website</a>.","distribution":[{"@type":"dcat:Distribution","describedBy":"https://data.cityofchicago.org/api/views/rtmx-vkjr/columns.json","describedByType":"application/json","downloadURL":"https://data.cityofchicago.org/api/v3/views/rtmx-vkjr/query.json?accessType=DOWNLOAD","mediaType":"application/json"},{"@type":"dcat:Distribution","describedBy":"https://data.cityofchicago.org/api/views/rtmx-vkjr/columns.xml","describedByType":"application/xml","downloadURL":"https://data.cityofchicago.org/api/v3/views/rtmx-vkjr/query.xml?accessType=DOWNLOAD","mediaType":"application/xml"},{"@type":"dcat:Distribution","downloadURL":"https://data.cityofchicago.org/api/v3/views/rtmx-vkjr/export.csv?accessType=DOWNLOAD","mediaType":"text/csv"},{"@type":"dcat:Distribution","downloadURL":"https://data.cityofchicago.org/api/v3/views/rtmx-vkjr/export.kml?accessType=DOWNLOAD","mediaType":"application/vnd.google-earth.kml+xml"},{"@type":"dcat:Distribution","downloadURL":"https://data.cityofchicago.org/api/v3/views/rtmx-vkjr/export.kmz?accessType=DOWNLOAD","mediaType":"application/vnd.google-earth.kmz"},{"@type":"dcat:Distribution","downloadURL":"https://data.cityofchicago.org/api/v3/views/rtmx-vkjr/query.geojson?accessType=DOWNLOAD","mediaType":"application/geo+json"}],"identifier":"https://data.cityofchicago.org/api/views/rtmx-vkjr","issued":"2026-01-23","keyword":["air quality","air quality index","aqi","health","nitrogen dioxide","particulate matter","public health","sensors","weather"],"landingPage":"https://data.cityofchicago.org/d/rtmx-vkjr","modified":"2026-09-23","publisher":{"@type":"org:Organization","name":"data.cityofchicago.org"},"theme":["Health & Human Services"],"title":"Open Air Chicago Day Aggregations"},"description":"Sensors deployed throughout the City by Open Air Chicago measuring fine particulate matter 2.5 (PM2.5) and nitrogen dioxide (NO2). 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To learn more about NYSERDA\u2019s programs, visit https://nyserda.ny.gov or follow us on X, Facebook, YouTube, or Instagram.","distribution":[{"@type":"dcat:Distribution","describedBy":"https://data.ny.gov/api/views/k7gz-mn77/columns.json","describedByType":"application/json","downloadURL":"https://data.ny.gov/api/v3/views/k7gz-mn77/query.json?accessType=DOWNLOAD","mediaType":"application/json"},{"@type":"dcat:Distribution","describedBy":"https://data.ny.gov/api/views/k7gz-mn77/columns.xml","describedByType":"application/xml","downloadURL":"https://data.ny.gov/api/v3/views/k7gz-mn77/query.xml?accessType=DOWNLOAD","mediaType":"application/xml"},{"@type":"dcat:Distribution","downloadURL":"https://data.ny.gov/api/v3/views/k7gz-mn77/export.csv?accessType=DOWNLOAD","mediaType":"text/csv"}],"identifier":"https://data.ny.gov/api/views/k7gz-mn77","issued":"2020-09-17","keyword":["crude oil","diesel","gasoline","jet fuel","spot prices"],"landingPage":"https://data.ny.gov/d/k7gz-mn77","modified":"2026-09-18","publisher":{"@type":"org:Organization","name":"data.ny.gov"},"theme":["Energy & Environment"],"title":"Transportation Fuels Spot Prices: Beginning January 2011"},"description":"Transportation Fuels Spot Prices dataset provides weekly average spot price information for New York Harbor Conventional Gasoline, New York Harbor Ultra-Low Sulfur Diesel as well as Western Texas Intermediate (WTI) and Brent crude oil. 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For example, a PM2.5 NowCast concentration timestamped at 16:00 UTC includes data from 05:00 UTC to 16:59:59 UTC. 24-hour Rolling Mean averages measurements over a sliding 24-hour window, also ending at the reporting hour.\n\nThere are related datasets linked below that show the individual measurements and aggregations by day.\n\n<b>Special Note: As of the launch date of this dataset, the black carbon modules are currently offline. All related metrics are unavailable until further notice and will appear as blank in the dataset.</b>\n\nSome metrics have ready-to-use values directly from the sensor. No further processing occurs. Examples are temperature, relative humidity, and wind. Other metrics have raw data processed further in the Clarity cloud. We call these metrics \"cloud-calibrated.\" Examples are PM2.5 and NO2, which have a global correction factor applied. Column names end in either .raw or .value. For direct-from-sensor metrics, raw and value are the same. 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People for Community Recovery, Pilsen Environmental Rights and Reform Organization, Southeast Environmental Task Force, The Southwest Collective and the Westside Cultural Alliance, Chicago Department of Transportation, Cook County Department of Environment and Sustainability, Illinois Environmental Protection Agency, RHP Risk Management, University of Illinois Urbana-Champaign, Clarity Movement Company, and Illinois Public Health Institute.\n\nDr. Serap Erdal from UIC SPH was awa","distribution":[{"@type":"dcat:Distribution","describedBy":"https://data.cityofchicago.org/api/views/di9s-96ws/columns.json","describedByType":"application/json","downloadURL":"https://data.cityofchicago.org/api/v3/views/di9s-96ws/query.json?accessType=DOWNLOAD","mediaType":"application/json"},{"@type":"dcat:Distribution","describedBy":"https://data.cityofchicago.org/api/views/di9s-96ws/columns.xml","describedByType":"application/xml","downloadURL":"https://data.cityofchicago.org/api/v3/views/di9s-96ws/query.xml?accessType=DOWNLOAD","mediaType":"application/xml"},{"@type":"dcat:Distribution","downloadURL":"https://data.cityofchicago.org/api/v3/views/di9s-96ws/export.csv?accessType=DOWNLOAD","mediaType":"text/csv"},{"@type":"dcat:Distribution","downloadURL":"https://data.cityofchicago.org/api/v3/views/di9s-96ws/export.kml?accessType=DOWNLOAD","mediaType":"application/vnd.google-earth.kml+xml"},{"@type":"dcat:Distribution","downloadURL":"https://data.cityofchicago.org/api/v3/views/di9s-96ws/export.kmz?accessType=DOWNLOAD","mediaType":"application/vnd.google-earth.kmz"},{"@type":"dcat:Distribution","downloadURL":"https://data.cityofchicago.org/api/v3/views/di9s-96ws/query.geojson?accessType=DOWNLOAD","mediaType":"application/geo+json"}],"identifier":"https://data.cityofchicago.org/api/views/di9s-96ws","issued":"2026-01-26","keyword":["air quality","air quality index","aqi","health","nitrogen dioxide","particulate matter","public health","sensors","weather"],"landingPage":"https://data.cityofchicago.org/d/di9s-96ws","modified":"2026-09-23","publisher":{"@type":"org:Organization","name":"data.cityofchicago.org"},"theme":["Health & Human Services"],"title":"Open Air Chicago Hour Aggregations"},"description":"Sensors deployed throughout the City by Open Air Chicago measuring fine particulate matter 2.5 (PM2.5) and nitrogen dioxide (NO2). 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SUMMARY</strong>\nThe Existing Buildings Energy Performance Ordinance (Environment Code Chapter 20) requires that each non-residential building with at least 10,000 square feet of conditioned (heated or cooled) space and each residential building with at least 50,000 square feet of conditioned space must be benchmarked annually using Energy Star Portfolio Manager. Each non-residential building specified above is also required to undergo an energy audit, retrocommissioning, or develop a plan for decarbonization at least once every 5 years.\n\nMore information:\n<u><a href=\"http://www.sfenvironment.org/ebo\">San Francisco Existing Buildings Energy Ordinance Website</a></u>\n\n<strong>B. HOW THE DATASET IS CREATED</strong>\nThe data is sourced from the benchmark and energy audit reports submitted for compliance with Environment Code Chapter 20. The dataset is presented in two tables which together provide basic characteristics, compliance status, and a public record of reported energy performance.\n\n<strong>C. UPDATE PROCESS</strong>\nThis dataset will be updated on a monthly basis.\n\n<strong>D. HOW TO USE THIS DATASET</strong>\n<u><a href=\"https://data.sfgov.org/Energy-and-Environment/Existing-Buildings-Basic-Info-and-Audit-Compliance/vgqy-2ca4\">Existing Buildings - Basic Info and Audit Compliance Status</a></u> -- This filtered view contains one record per building and provides basic characteristics (such as size and vintage). For commercial buildings, the table indicates when an energy audit or decarbonization plan is due.\n\n<u><a href=\"https://data.sfgov.org/Energy-and-Environment/Existing-Buildings-Benchmark-Reports/4ua7-5sfx\">Existing Buildings - Benchmark Reports</a></u> -- Each row of this filtered view presents one year of benchmarking data for one building \u2013 so there are multiple records per building. One year of data includes compliance status, and if the building complied it also presents energy use data including gas, electricity, steam and EPA-estimated operational carbon emissions.\n\nThis dataset contains the information of the two views joined on Parcel Number.\n\n<strong>E. RELATED DATASETS</strong>\n<u><a href=\"https://data.sfgov.org/d/bfhx-j6n5/\">San Francisco Municipal Energy Benchmarking</a></u>","distribution":[{"@type":"dcat:Distribution","describedBy":"https://data.sf.gov/api/views/96ck-qcfe/columns.json","describedByType":"application/json","downloadURL":"https://data.sf.gov/api/v3/views/96ck-qcfe/query.json?accessType=DOWNLOAD","mediaType":"application/json"},{"@type":"dcat:Distribution","describedBy":"https://data.sf.gov/api/views/96ck-qcfe/columns.xml","describedByType":"application/xml","downloadURL":"https://data.sf.gov/api/v3/views/96ck-qcfe/query.xml?accessType=DOWNLOAD","mediaType":"application/xml"},{"@type":"dcat:Distribution","downloadURL":"https://data.sf.gov/api/v3/views/96ck-qcfe/export.csv?accessType=DOWNLOAD","mediaType":"text/csv"},{"@type":"dcat:Distribution","downloadURL":"https://data.sf.gov/api/v3/views/96ck-qcfe/export.kml?accessType=DOWNLOAD","mediaType":"application/vnd.google-earth.kml+xml"},{"@type":"dcat:Distribution","downloadURL":"https://data.sf.gov/api/v3/views/96ck-qcfe/export.kmz?accessType=DOWNLOAD","mediaType":"application/vnd.google-earth.kmz"},{"@type":"dcat:Distribution","downloadURL":"https://data.sf.gov/api/v3/views/96ck-qcfe/query.geojson?accessType=DOWNLOAD","mediaType":"application/geo+json"}],"identifier":"https://data.sf.gov/api/views/96ck-qcfe","issued":"2023-09-14","keyword":["benchmark","benchmarking","building","buildings","carbon emissions","energy","greenhouse gas emissions"],"landingPage":"https://data.sf.gov/d/96ck-qcfe","license":"http://opendatacommons.org/licenses/pddl/1.0/","modified":"2026-09-19","publisher":{"@type":"org:Organization","name":"data.sf.gov"},"theme":["Energy and Environment"],"title":"Existing Buildings Energy Performance Ordinance Report"},"description":"<strong>A. 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The dataset is presented in two tables which together provide basic characteristics, compliance status, and a public record of reported energy performance.\n\n<strong>C. UPDATE PROCESS</strong>\nThis dataset will be updated on a monthly basis.\n\n<strong>D. HOW TO USE THIS DATASET</strong>\n<u><a href=\"https://data.sfgov.org/Energy-and-Environment/Existing-Buildings-Basic-Info-and-Audit-Compliance/vgqy-2ca4\">Existing Buildings - Basic Info and Audit Compliance Status</a></u> -- This filtered view contains one record per building and provides basic characteristics (such as size and vintage). For commercial buildings, the table indicates when an energy audit or decarbonization plan is due.\n\n<u><a href=\"https://data.sfgov.org/Energy-and-Environment/Existing-Buildings-Benchmark-Reports/4ua7-5sfx\">Existing Buildings - Benchmark Reports</a></u> -- Each row of this filtered view presents one year of benchmarking data for one building \u2013 so there are multiple records per building. 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