Timeline / Data.gov — Environment Datasets
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Evidence
| Source | Data.gov — Environment Datasets |
|---|---|
| Agency | Data.gov |
| URL | https://api.gsa.gov/technology/datagov/v4/search?q=environment&sort=last_harvested_date&per_page=100&api_key=${DATAGOV_API_KEY} |
| Observed by | Civic Memory, directly, on 2026-10-01T06:25:15+00:00 |
| Content type | application/json |
| Current object |
9e577df1ed9b0b5f8ce8614e3c1d8e2197fbaf5d621a5df441a16efe925eb87b
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metadata
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| Previous object |
7f9fa80c11c49558e1f270846929cd538a970913b541f83dd395315b6846afd9
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What changed derived
This diff is not evidence. It was produced by
civic-memory.diff_engine 1.1.0 at
2026-10-01T06:25:15+00:00 by normalizing the two archived objects above. The
objects are authoritative; this reading of them can be regenerated or deleted
without loss. 2114 line(s) added, 2180 line(s) removed.
--- previous +++ current @@ -1,11 +1,2081 @@ { - "after": "WzE3OTA3OTQzODk0ODQsNi41MDc0MTIsMywiZTg4OTdiNWEtMzNjYi00OTJjLThlZTgtZDcwMWEwMDMwOGZjIl0=", + "after": "WzE3OTA3OTQ0MDQ4MDAsMjIuNzExODIzLDMsIjcxMTZkZjc0LTRlZGUtNDk1Ny1iZDZjLWQyZThlOGJiNGE4YiJd", "results": [ { - "_score": 10.901823, + "_score": 10.839429, + "_sort": [ + 1790822243368, + 10.839429, + 1, + "92f00b1d-0348-4cfb-ae7a-b6a0f9f427da" + ], + "dcat": { + "accessLevel": "public", + "bureauCode": [ + "010:12" + ], + "contactPoint": { + "@type": "vcard:Contact", + "fn": "Customer Service Representative", + "hasEmail": "mailto:custserv@usgs.gov" + }, + "description": "Short-term FIRM (2016-2024), Long-term FIRM (1985-2024), and Habitat Invasive Risk (HIR) quantify wildfire-driven invasive annual grass responses across western U.S. rangelands. Context - Understanding the relationship between Exotic Annual Grass (EAG) expansion, drought, and fire frequency across western US rangelands is complex, but critical for maintaining ecological integrity. Objectives - We quantified the impacts of wildfire on EAGs, with emphasis on understanding the factors driving the spatial and temporal variability of those impacts, highlighting the role of drought. Methods - We investigate two study periods using 1985-2024 and 2016-2024 EAG cover datasets to better understand EAG dynamics in relation to fire. We, 1) leverage mapped EAG cover responses to fire in the context of various biophysical variables to model expected change in EAG cover (ΔG) given a fire in a specific location, even if no fire has occurred in that location in the period of record; 2) evaluate the influence of drought and other biophysical variables on the ΔG; 3) combine our ΔG values with burn probability and ecological integrity data to evaluate the profile of EAG risk due to fire in sagebrush habitats. Results - Our results show that fire impacts on EAG are often delayed, with limited effects in the first post-fire year followed by increasing cover over subsequent years. Importantly, areas with low pre-fire EAG cover exhibited the greatest potential for post-fire increases, whereas heavily invaded sites showed lower incremental responses, suggesting saturation or carrying-capacity constraints. Conclusions - Understanding the connections among EAGs, drought, and wildfire is critical for maintaining the ecological integrity of western rangelands. Identifying the magnitude of fire impacts to EAG cover provides critical insight for land managers.", + "distribution": [ + { + "@type": "dcat:Distribution", + "accessURL": "https://doi.org/10.5066/P1X4F8FS", + "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.6a8473f71ba49b3133cd7edc.xml", + "format": "XML", + "mediaType": "text/xml", + "title": "Original Metadata" + } + ], + "identifier": "http://datainventory.doi.gov/id/dataset/USGS_6a8473f71ba49b3133cd7edc", + "keyword": [ + "FIRM", + "HIR", + "RCMAP", + "USGS:6a8473f71ba49b3133cd7edc", + "environment", + "rangelands", + "wildfires" + ], + "modified": "2026-09-28T00:00:00Z", + "publisher": { + "@type": "org:Organization", + "name": "U.S. Geological Survey" + }, + "spatial": "-127.2344, 26.5987, -99.6774, 50.9200", + "theme": [ + "geospatial" + ], + "title": "Fire Invasive Response Metric (FIRM) and Habitat Invasive Risk (HIR) for Western U.S. Rangelands 1985 - 2024" + }, + "description": "Short-term FIRM (2016-2024), Long-term FIRM (1985-2024), and Habitat Invasive Risk (HIR) quantify wildfire-driven invasive annual grass responses across western U.S. rangelands. Context - Understanding the relationship between Exotic Annual Grass (EAG) expansion, drought, and fire frequency across western US rangelands is complex, but critical for maintaining ecological integrity. Objectives - We quantified the impacts of wildfire on EAGs, with emphasis on understanding the factors driving the spatial and temporal variability of those impacts, highlighting the role of drought. Methods - We investigate two study periods using 1985-2024 and 2016-2024 EAG cover datasets to better understand EAG dynamics in relation to fire. We, 1) leverage mapped EAG cover responses to fire in the context of various biophysical variables to model expected change in EAG cover (ΔG) given a fire in a specific location, even if no fire has occurred in that location in the period of record; 2) evaluate the influence of drought and other biophysical variables on the ΔG; 3) combine our ΔG values with burn probability and ecological integrity data to evaluate the profile of EAG risk due to fire in sagebrush habitats. Results - Our results show that fire impacts on EAG are often delayed, with limited effects in the first post-fire year followed by increasing cover over subsequent years. Importantly, areas with low pre-fire EAG cover exhibited the greatest potential for post-fire increases, whereas heavily invaded sites showed lower incremental responses, suggesting saturation or carrying-capacity constraints. Conclusions - Understanding the connections among EAGs, drought, and wildfire is critical for maintaining the ecological integrity of western rangelands. Identifying the magnitude of fire impacts to EAG cover provides critical insight for land managers.", + "distribution_titles": [ + "Digital Data", + "Original Metadata" + ], + "harvest_record": "https://catalog.data.gov/harvest_record/12dae967-91f3-4a18-9200-38119061971c", + "harvest_record_raw": "https://catalog.data.gov/harvest_record/12dae967-91f3-4a18-9200-38119061971c/raw", + "has_download": true, + "has_spatial": true, + "identifier": "http://datainventory.doi.gov/id/dataset/USGS_6a8473f71ba49b3133cd7edc", + "keyword": [ + "FIRM", + "HIR", + "RCMAP", + "USGS:6a8473f71ba49b3133cd7edc", + "environment", + "rangelands", + "wildfires" + ], + "last_harvested_date": "2026-10-01T02:37:23.368860", + "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": 1, + "publisher": "U.S. Geological Survey", + "slug": "fire-invasive-response-metric-firm-and-habitat-invasive-risk-hir-for-western-u-s-1985-2024", + "spatial_centroid": { + "lat": 36.32722, + "lon": -116.2116 + }, + "spatial_shape": { + "coordinates": [ + [ + [ + -127.2344, + 26.5987 + ], + [ + -127.2344, + 50.92 + ], + [ + -99.6774, + 50.92 + ], + [ + -99.6774, + 26.5987 + ], + [ + -127.2344, + 26.5987 + ] + ] + ], + "type": "Polygon" + }, + "theme": [ + "geospatial" + ], + "title": "Fire Invasive Response Metric (FIRM) and Habitat Invasive Risk (HIR) for Western U.S. Rangelands 1985 - 2024", + "type": "dataset" + }, + { + "_score": 25.20884, + "_sort": [ + 1790822204753, + 25.20884, + 4, + "b8736e26-bf11-4415-8561-ac9c6f294015" + ], + "dcat": { + "accessLevel": "public", + "bureauCode": [ + "010:12" + ], + "contactPoint": { + "@type": "vcard:Contact", + "fn": "FRESC Metadata Coordinator", + "hasEmail": "mailto:fresh_outreach@usgs.gov" + }, + "description": "The 2022 Department of the Interior, Environment, and Related Agencies Appropriations Bill - the appropriations bill that funds the USGS - established a regional Integrated Water Availability Assessment study program in the Great Basin of the American West. 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They include: California: Eagle Lake, Honey Lake, Mono Lake, Owens Lake; Utah: The Great Salt Lake and Sevier Lake; Nevada: Carson Lake, Carson Sink, Franklin Lake, Pyramid Lake, Ruby Lake, Walker Lake, Winnemucca Lake; Oregon: Lake Abert, Harney Lake, Malheur Lake, Silver Lake, Summer Lake, the Warner Lakes; California/Oregon: Goose Lake", + "distribution": [ + { + "@type": "dcat:Distribution", + "accessURL": "https://doi.org/10.5066/P13QP2TK", + "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.667f1a25d34e2cb7853eaf4f.xml", + "format": "XML", + "mediaType": "text/xml", + "title": "Original Metadata" + } + ], + "identifier": "http://datainventory.doi.gov/id/dataset/USGS_667f1a25d34e2cb7853eaf4f", + "keyword": [ + "California", + "Nevada", + "Oregon", + "USGS:667f1a25d34e2cb7853eaf4f", + "Utah", + "aquatic ecosystems", + "biota", + "desert ecosystems", + "environment", + "geospatial datasets", + "inlandWaters", + "shrubland ecosystems", + "surface water (non-marine)" + ], + "modified": "2026-09-28T00:00:00Z", + "publisher": { + "@type": "org:Organization", + "name": "U.S. Geological Survey" + }, + "spatial": "-121.7204, 36.0523, -111.1371, 44.4412", + "theme": [ + "geospatial" + ], + "title": "Saline Lake Ecosystems IWAA Lakes (ver. 2.0, September 2026)" + }, + "description": "The 2022 Department of the Interior, Environment, and Related Agencies Appropriations Bill - the appropriations bill that funds the USGS - established a regional Integrated Water Availability Assessment study program in the Great Basin of the American West. 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At each site, SPATT samplers were deployed under different conditions (sun and shade) and with or without a mechanical biofouling deterrent (105-micrometer copper mesh). The release includes cyanotoxin concentrations measured in SPATT extract (from the adsorbent resin) and SPATT biofilm (material scraped from the sampler surface), determined by liquid chromatography and tandem mass spectrometry (LC-MS/MS and LC-MS). It also includes phytoplankton identification and enumeration data from ambient (native) water and from SPATT biofilm.", + "distribution": [ + { + "@type": "dcat:Distribution", + "accessURL": "https://doi.org/10.5066/P145M7VZ", + "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.691cecf1d4be021d1d89b387.xml", + "format": "XML", + "mediaType": "text/xml", + "title": "Original Metadata" + } + ], + "identifier": "http://datainventory.doi.gov/id/dataset/USGS_691cecf1d4be021d1d89b387", + "keyword": [ + "Aquatic Biology", + "Central Park", + "Davidson", + "LC-MS/MS", + "Limnology", + "Nashville", + "New York", + "SPATT", + "Tennessee", + "The Lake", + "The Lake Bank Rock Bay IN Central Park at NY NY (Site ID: 404644073581801)", + "The Lake at Central Park", + "Tsu Upper Wetland a North Nashville TN (Site ID: 361028086492601)", + "Turtle Pond", + "Turtle Pond Overlook IN Central Park NY NY (Site ID: 404648073580601)", + "USGS:691cecf1d4be021d1d89b387", + "United States", + "Water Resources", + "algae", + "algal blooms", + "anatoxin", + "biota", + "congener", + "cyanobacteria", + "cyanotoxin", + "cylindrospermopsin", + "ecotoxicology", + "environment", + "environmental proxies", + "fresh water (surface)", + "freshwater ecosystems", + "hazards", + "health", + "limnology", + "mass spectrometry", + "microcystin", + "periphyton", + "phytoplankton", + "solid phase adsorption toxin tracking", + "surface water quality", + "water Quality", + "water Resources" + ], + "modified": "2026-09-28T00:00:00Z", + "publisher": { + "@type": "org:Organization", + "name": "U.S. Geological Survey" + }, + "spatial": "-87.3633, 35.6751, -73.4546, 41.0794", + "theme": [ + "geospatial" + ], + "title": "Anti-biofouling strategies for solid phase adsorption toxin tracking (SPATT) in two New York lakes and a Tennessee wetland in 2024" + }, + "description": "This data release contains analytical results from an experiment examining biofouling of solid phase adsorption toxin tracking (SPATT) samplers deployed between July and September 2024 in two lakes in Central Park (The Lake and Turtle Pond) in New York City, New York, and at an urban wetland in Nashville, Tennessee (Tennessee State University [TSU] wetland). At each site, SPATT samplers were deployed under different conditions (sun and shade) and with or without a mechanical biofouling deterrent (105-micrometer copper mesh). The release includes cyanotoxin concentrations measured in SPATT extract (from the adsorbent resin) and SPATT biofilm (material scraped from the sampler surface), determined by liquid chromatography and tandem mass spectrometry (LC-MS/MS and LC-MS). 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These predictions were further summarized into deciles with higher scores inferring less biologically altered (i.e., better) conditions. Uncertainty measures were also calculated for annual predictions and summarized into deciles such that higher scores represent lower uncertainty measures. This data release includes watershed‑wide predictions—both overall and by ecoregion—along with the R project used to conduct the analysis. The R project contains the model input data, annual basin‑wide habitat predictors, and the R scripts required to generate annual fish community metric predictions for each catchment across the watershed. This data release also contains a README markdown file that provides a more detailed description of the analytical workflow and associated data objects.", + "distribution": [ + { + "@type": "dcat:Distribution", + "accessURL": "https://doi.org/10.5066/P13DHM2D", + "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.6a2c1f6c1ba49b14390b0bcf.xml", + "format": "XML", + "mediaType": "text/xml", + "title": "Original Metadata" + } + ], + "identifier": "http://datainventory.doi.gov/id/dataset/USGS_6a2c1f6c1ba49b14390b0bcf", + "keyword": [ + "Chesapeake Bay watershed", + "District of Columbia (national district)", + "Maryland (state)", + "New York (state)", + "Pennsylvania (state)", + "USGS:6a2c1f6c1ba49b14390b0bcf", + "Virginia (state)", + "West Virginia (state)", + "biota", + "environment", + "fish assemblage", + "habitats", + "inlandWaters", + "natural resource assessment", + "prediction", + "random forest" + ], + "modified": "2026-09-28T00:00:00Z", + "publisher": { + "@type": "org:Organization", + "name": "U.S. Geological Survey" + }, + "spatial": "-80.6538, 36.5793, -74.4593, 43.0773", + "theme": [ + "geospatial" + ], + "title": "Updated model predictions of fish community metrics for nontidal streams in the Chesapeake Bay Watershed, USA from 1985 to 2023" + }, + "description": "This data release contains updated predictions of fish community metrics from Krause and Maloney (2021) and Maloney et al. (2022). The analysis to produce these predictions follows the same analytical procedure described in Maloney et al. (2022) but at an enhanced spatial (1:24,000 scale) and temporal (annual predictions from 1985 - 2023) resolutions. The fish sampling data used to calculate these metrics were assembled from multiple monitoring programs conducted by state and federal agencies, county governments, universities, and river basin commissions throughout the watershed. Community metrics characterize fish assemblages in terms of composition, tolerance, habitat use, and functional traits. Analyses were performed across four aggregated Level III ecoregions: the Coastal Plains (CPL); the Northern Appalachians (NAP); the Southern Appalachians Northwest (SAP_NW), and the Southern Appalachians Piedmont (SAP_PIED; see Maloney et al. 2022 for more detail on these regions). Predictions were calculated for each regionally selected fish community metric annually from 1985 to 2023. 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"_score": 2.737566, + "_score": 2.7960224, "_sort": [ 1790803950747, - 2.737566, + 2.7960224, 2, "3c29b8a0-90c6-4200-a9b4-328d305fdc30" ], @@ -3479,10 +5549,10 @@ "type": "dataset" }, { - "_score": 54.310665, + "_score": 55.036713, "_sort": [ 1790803890126, - 54.310665, + 55.036713, 2, "627746d6-1a5f-43bc-8933-06d33a7bf3b5" ], @@ -3685,10 +5755,10 @@ "type": "dataset" }, { - "_score": 28.812572, + "_score": 28.932343, "_sort": [ 1790803882039, - 28.812572, + 28.932343, 5, "0697d063-75bc-4ebc-b9ec-ee9d8e4648a8" ], @@ -3833,10 +5903,10 @@ "type": "dataset" }, { - "_score": 8.242479, + "_score": 8.36017, "_sort": [ 1790803866890, - 8.242479, + 8.36017, 3, "5b18c886-018c-4f49-b642-5e9aa21e90aa" ], @@ -4000,2140 +6070,4 @@ "temporal": "2022-07-01/2025-01-29", "title": "Data from: How you start matters: Density, resource size, and life stage impact population levels for pest insects" }, - "description": "<p dir=\"ltr\">[Note 2026-08-31: File \"README_Tribolium_Density_MS_ADDENDUM.txt\" was added to dataset.]</p><p dir=\"ltr\">[Note 2026-08-12: Files \"Supplemental Table 1_adult number g larvae.xlsx\", \"Supplemental Table 2_flour loss glm.xlsx\", \"Supplemental Table 3_reproductive output contrasts.csv\", \"Supplemental Table 4_Pairwise_G-Test_DFU_adults.xlsx\", and \"Supplemental Table 5_VOC peak table.csv\" were added to dataset.]</p><p dir=\"ltr\"><i>Tribolium castaneum</i>, the red flour beetle, is a key pest of cereal grains and products that routinely infests food processing facilities. Such facilities represent dynamic environments comprising patches of resources of variable size and quality. To understand the influence of resource availability, insect density, and initial life stage on population regulation in <i>T. castaneum</i>, this study assessed the carrying capacity and population growth rates of <i>T. castaneum </i>populations<i> </i>kept for 20 weeks in a closed environment on four different amounts of diet at four starting population levels, then compared <i>T. castaneum</i> attraction to, reproductive output on, and the volatile profiles of previously-infested (e.g., conditioned) flour. Resource availability (e.g. the amount of flour) interacted with founding population density and life stage to influence <i>T. castaneum </i>population dynamics. In resource-limited patches, carrying capacity estimates were similar across founding densities, but the effect of founding population density on carrying capacity increased with flour availability. The opposite was observed for population growth rate, which tended to be more variable for small patches but stabilized as resource availability increased. Interestingly, both effects were reduced for populations founded as larvae compared to those founded as adults. The volatile profile of conditioned flour was also influenced by the interaction of patch size, density, and life stage. The relative abundance of 1-pentadecene and benzoquinones tended to be reduced in the volatile profiles of large patches, whereas 4,8-dimethyldecanal comprised a higher proportion of the total volatile emissions. Conditioned flour from large patches tended to be more attractive to <i>T. castaneum </i>adults, although this effect decreased as founding density increased. By contrast, when populations were founded as larvae, the volatile profiles of <i>T. castaneum </i>attraction to, and <i>T. castaneum </i>fecundity on conditioned flours were similar. These findings expand our understanding of how resource limitation and density-dependent effects influence <i>T. castaneum </i>population regulation and behavior, with implications for long-term trap monitoring and population thresholds in stored products.</p><p dir=\"ltr\">Supplemental Tables are included in the data files and referenced in the published manuscript.</p>", - "distribution_titles": [ - "README_Tribolium_Density_MS.txt", - "StartAsAdult_Data.csv", - "StartAsLarvae_Data.csv", - "Supplemental Table 1.csv", - "Supplemental Table 2.csv", - "Supplemental Table 3.csv", - "Supplemental Table 3.xlsx", - "Supplemental Table 4.csv", - "VOC_Analysis_Data.csv", - "Wind_Tunnel_Data.csv", - "Fecundity_Data.csv", - "Nutrient_Data.csv", - "Supplemental Table 1_adult number g larvae.xlsx", - "Supplemental Table 2_flour loss glm.xlsx", - "Supplemental Table 3_reproductive output contrasts.csv", - "Supplemental Table 4_Pairwise_G-Test_DFU_adults.xlsx", - "Supplemental Table 5_VOC peak table.csv", - "README_Tribolium_Density_MS_ADDENDUM.txt" - ], - "harvest_record": "https://catalog.data.gov/harvest_record/03ce771c-cc47-472e-9448-d42975c5ffe5", - "harvest_record_raw": "https://catalog.data.gov/harvest_record/03ce771c-cc47-472e-9448-d42975c5ffe5/raw", - "has_download": true, - "has_spatial": false, - "identifier": "10.15482/USDA.ADC/31416551.v3", - "keyword": [ - "Red Flour Beetle", - "Triboliiu castaneum", - "anemotaxis", - "carrying capacity limitations", - "density regulation", - "semiochemicals" - ], - "last_harvested_date": "2026-09-30T21:31:06.890974", - "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": 3, - "publisher": "Agricultural Research Service", - "slug": "data-from-how-you-start-matters-density-resource-size-and-life-stage-impact-population-lev", - "spatial_centroid": null, - "spatial_shape": null, - "theme": [], - "title": "Data from: How you start matters: Density, resource size, and life stage impact population levels for pest insects", - "type": "dataset" - }, - { - "_score": 47.320053, - "_sort": [ - 1790803861074, - 47.320053, - 1, - "07a03d07-67fd-4edf-b170-c6bad8f0820d" - ], - "dcat": { - "@type": "dcat:Dataset", - "accessLevel": "public", - "accrualPeriodicity": "R/P1Y", - "bureauCode": [ - "005:18" - ], - "contactPoint": { - "fn": "Ewing, Patrick M.", - "hasEmail": "mailto:patrick.ewing@usda.gov" - }, - "description": "<p dir=\"ltr\">This data examines the impact of genotype, environment, and crop management practices on oat (<i>Avena sativa</i> L.) grain yield, milling quality, and nutritional content over three growing seasons (2021-2023). Data were collected at the USDA-ARS-managed Eastern South Dakota Soil and Water Research Farm in Brookings, South Dakota. Treatments included three oat varieties with differing plant architectures, planted at three populations, and co-established (or not) with a medium red clover (<i>Trifolium pratense</i> L.) green manure. Data include weather and oat performance - the latter of which includes biomass and grain yield, grain milling quality, and grain nutrient content. Code to analyze the data and produce figures in the peer-reviewed manuscript is also included. Please see the Metadata for column descriptions.</p><p><br></p><p dir=\"ltr\"><b>NOTICE</b></p><ul><li><b>This repository has been archived and is no longer maintained.</b></li><li>The code is provided for historical reference and <b>may</b> contain unpatched or unknown vulnerabilities.</li><li>It should <b>not</b> be used in production systems.</li></ul><p></p>", - "distribution": [ - { - "@type": "dcat:Distribution", - "downloadURL": "https://ndownloader.figshare.com/files/65657697", - "format": "sas", - "mediaType": "text/plain", - "title": "Oat_2021_2023.sas" - }, - { - "@type": "dcat:Distribution", - "downloadURL": "https://ndownloader.figshare.com/files/65657703", - "format": "Rmd", - "mediaType": "text/plain", - "title": "Oat-clover_correlation&tradeoff.Rmd" - }, - { - "@type": "dcat:Distribution", - "downloadURL": "https://ndownloader.figshare.com/files/65657706", - "format": "Rmd", - "mediaType": "text/plain", - "title": "Oat-clover_Weather_data.Rmd" - }, - { - "@type": "dcat:Distribution", - "downloadURL": "https://ndownloader.figshare.com/files/65657709", - "format": "csv", - "mediaType": "text/csv", - "title": "Oats_2021_2023.csv" - }, - { - "@type": "dcat:Distribution", - "downloadURL": "https://ndownloader.figshare.com/files/65657712", - "format": "docx", - "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document", - "title": "SAS script for grain yield and quality analysis.docx" - }, - { - "@type": "dcat:Distribution", - "downloadURL": "https://ndownloader.figshare.com/files/65657715", - "format": "csv", - "mediaType": "text/csv", - "title": "Weather_Precip_Temp_updated.csv" - }, - { - "@type": "dcat:Distribution", - "downloadURL": "https://ndownloader.figshare.com/files/65657721", - "format": "docx", - "mediaType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document", - "title": "Metadata for grain yield and quality and weather data for oat study 2021_2023.docx" - } - ], - "identifier": "10.15482/USDA.ADC/28597334.v1", - "keyword": [ - "Grain quality", - "Management tactics", - "Nutritional traits", - "Oat genotypes", - "Weather variability", - "source code" - ], - "license": "https://www.usa.gov/publicdomain/label/1.0/", - "modified": "2026-09-14", - "programCode": [ - "005:040" - ], - "publisher": { - "@type": "org:Organization", - "name": "Agricultural Research Service" - }, - "spatial": "{\"type\": \"Polygon\", \"coordinates\": [[[-96.80578316109442, 44.34997695552039], [-96.80419219677289, 44.34997695552039], [-96.80419219677289, 44.35168406686904], [-96.80578316109442, 44.35168406686904], [-96.80578316109442, 44.34997695552039]]]}", - "temporal": "2021-04-01/2023-09-30", - "title": "Data from: Genotype, environment and management effect on grain yield and milling quality of oat in Northern Great Plains" - }, - "description": "<p dir=\"ltr\">This data examines the impact of genotype, environment, and crop management practices on oat (<i>Avena sativa</i> L.) grain yield, milling quality, and nutritional content over three growing seasons (2021-2023). Data were collected at the USDA-ARS-managed Eastern South Dakota Soil and Water Research Farm in Brookings, South Dakota. Treatments included three oat varieties with differing plant architectures, planted at three populations, and co-established (or not) with a medium red clover (<i>Trifolium pratense</i> L.) green manure. Data include weather and oat performance - the latter of which includes biomass and grain yield, grain milling quality, and grain nutrient content. Code to analyze the data and produce figures in the peer-reviewed manuscript is also included. Please see the Metadata for column descriptions.</p><p><br></p><p dir=\"ltr\"><b>NOTICE</b></p><ul><li><b>This repository has been archived and is no longer maintained.</b></li><li>The code is provided for historical reference and <b>may</b> contain unpatched or unknown vulnerabilities.</li><li>It should <b>not</b> be used in production systems.</li></ul><p></p>", - "distribution_titles": [ - "Oat_2021_2023.sas", - "Oat-clover_correlation&tradeoff.Rmd", - "Oat-clover_Weather_data.Rmd", - "Oats_2021_2023.csv", - "SAS script for grain yield and quality analysis.docx", - "Weather_Precip_Temp_updated.csv", - "Metadata for grain yield and quality and weather data for oat study 2021_2023.docx" - ], - "harvest_record": "https://catalog.data.gov/harvest_record/157c7242-e6c0-4aa9-9c6f-bd9bfa2c56c0", - "harvest_record_raw": "https://catalog.data.gov/harvest_record/157c7242-e6c0-4aa9-9c6f-bd9bfa2c56c0/raw", - "has_download": true, - "has_spatial": true, - "identifier": "10.15482/USDA.ADC/28597334.v1", - "keyword": [ - "Grain quality", - "Management tactics", - "Nutritional traits", - "Oat genotypes", - "Weather variability", - "source code" - ], - "last_harvested_date": "2026-09-30T21:31:01.074724", - "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": 1, - "publisher": "Agricultural Research Service", - "slug": "data-from-genotype-environment-and-management-effect-on-grain-yield-and-milling-quality-of", - "spatial_centroid": { - "lat": 44.35065980005985, - "lon": -96.80514677536581 - }, - "spatial_shape": { - "coordinates": [ - [ - [ - -96.80578316109442, - 44.34997695552039 - ], - [ - -96.80419219677289, - 44.34997695552039 - ], - [ - -96.80419219677289, - 44.35168406686904 - ], - [ - -96.80578316109442, - 44.35168406686904 - ], - [ - -96.80578316109442, - 44.34997695552039 - ] - ] - ], - "type": "Polygon" - }, - "theme": [], - "title": "Data from: Genotype, environment and management effect on grain yield and milling quality of oat in Northern Great Plains", - "type": "dataset" - }, - { - "_score": 32.40976, - "_sort": [ - 1790803856437, - 32.40976, - 0, - "8ddaa15c-f0c8-4132-b7bb-025e4679dad5" - ], - "dcat": { - "@type": "dcat:Dataset", - "accessLevel": "public", - "bureauCode": [ - "005:18" - ], - "contactPoint": { - "fn": "Copeland, Stella", - "hasEmail": "mailto:stella.copeland@usda.gov" - }, - "description": "<p dir=\"ltr\">[NOTE 2026-09-04: Data files revised]</p><p dir=\"ltr\">Crested wheatgrass is widely, and historically, seeded across sagebrush steppe rangelands to increase perennial cover and compete with invasive annual grasses post-fire, however, outcomes vary, likely due to complex combinations of site environmental variables and weather. 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We tested for the effects of fire severity, elevation, sand content, and spring precipitation in two time points on seeding effects for each type of cover.</p>", - "distribution": [ - { - "@type": "dcat:Distribution", - "downloadURL": "https://ndownloader.figshare.com/files/68217097", - "format": "csv", - "mediaType": "text/csv", - "title": "burn_trt_yrs.csv" - }, - { - "@type": "dcat:Distribution", - "downloadURL": "https://ndownloader.figshare.com/files/68217100", - "format": "csv", - "mediaType": "text/csv", - "title": "burn_trt_yrs_metadata.csv" - }, - { - "@type": "dcat:Distribution", - "downloadURL": "https://ndownloader.figshare.com/files/68217103", - "format": "csv", - "mediaType": "text/csv", - "title": "core_data.csv" - }, - { - "@type": "dcat:Distribution", - "downloadURL": "https://ndownloader.figshare.com/files/68217106", - "format": "txt", - "mediaType": "text/plain", - "title": "core_data_metadata.txt" - }, - { - "@type": "dcat:Distribution", - "downloadURL": "https://ndownloader.figshare.com/files/68217109", - "format": "zip", - "mediaType": "application/zip", - "title": "tgt_pix_centroid.zip" - }, - { - "@type": "dcat:Distribution", - "downloadURL": "https://ndownloader.figshare.com/files/68217112", - "format": "zip", - "mediaType": "application/zip", - "title": "ref_pix_centroid.zip" - }, - { - "@type": "dcat:Distribution", - "downloadURL": "https://ndownloader.figshare.com/files/68217115", - "format": "zip", - "mediaType": "application/zip", - "title": "TrtPoly.zip" - } - ], - "identifier": "10.15482/USDA.ADC/30811058.v2", - "keyword": [ - "bare ground", - "crested wheatgrass", - "invasive annual grasses", - "sagebrush steppe", - "shrub", - "synthetic control" - ], - "license": "https://creativecommons.org/publicdomain/zero/1.0/", - "modified": "2026-09-08", - "programCode": [ - "005:040" - ], - "publisher": { - "@type": "org:Organization", - "name": "Agricultural Research Service" - }, - "temporal": "1992-01-01/2023-12-30", - "title": "Data from: Variability in vegetation outcomes in widespread post-fire non-native perennial grass seedings associated with site environment and weather" - }, - "description": "<p dir=\"ltr\">[NOTE 2026-09-04: Data files revised]</p><p dir=\"ltr\">Crested wheatgrass is widely, and historically, seeded across sagebrush steppe rangelands to increase perennial cover and compete with invasive annual grasses post-fire, however, outcomes vary, likely due to complex combinations of site environmental variables and weather. This study examines variation in vegetation characteristics in post-fire areas associated with crested wheatgrass seeding, and environmental variables, in the northern Great Basin. We selected 124 treatments on Bureau of Land Management lands seeded post-fire with crested wheatgrass over the past two decades in two ecoregions (Snake River Plain, Northern Basin and Range). We selected target 30 m pixels and matched them to 150 reference pixels based on environmental similarity and burn severity within 0.3-3.5 km radius in unseeded areas. We compared change overtime post-seeding in the target pixels to reference pixels with a synthetic control method, comparing pre-fire differences in vegetation between target and reference pixels to post-seeding outcomes. We extracted effect sizes at 5 and 10 years post-fire. We tested for the effects of fire severity, elevation, sand content, and spring precipitation in two time points on seeding effects for each type of cover.</p>", - "distribution_titles": [ - "burn_trt_yrs.csv", - "burn_trt_yrs_metadata.csv", - "core_data.csv", - "core_data_metadata.txt", - "tgt_pix_centroid.zip", - "ref_pix_centroid.zip", - "TrtPoly.zip" - ], - "harvest_record": "https://catalog.data.gov/harvest_record/204e2b8d-1f6b-4af1-a4ca-f3b1759c6756", - "harvest_record_raw": "https://catalog.data.gov/harvest_record/204e2b8d-1f6b-4af1-a4ca-f3b1759c6756/raw", - "has_download": true, - "has_spatial": false, - "identifier": "10.15482/USDA.ADC/30811058.v2", - "keyword": [ - "bare ground", - "crested wheatgrass", - "invasive annual grasses", - "sagebrush steppe", - "shrub", - "synthetic control" - ], - "last_harvested_date": "2026-09-30T21:30:56.437469", - "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": 0, - "publisher": "Agricultural Research Service", - "slug": "data-from-variability-in-vegetation-outcomes-in-widespread-post-fire-non-native-perennial-", - "spatial_centroid": null, - "spatial_shape": null, - "theme": [], - "title": "Data from: Variability in vegetation outcomes in widespread post-fire non-native perennial grass seedings associated with site environment and weather", - "type": "dataset" - }, - { - "_score": 3.7073069, - "_sort": [ - 1790803240214, - 3.7073069, - 2, - "6c61f8c3-5627-4086-af57-00e6e537f626" - ], - "dcat": { - "accessLevel": "public", - "bureauCode": [ - "010:24" - ], - "contactPoint": { - "@type": "vcard:Contact", - "fn": "NPS IRMA Help", - "hasEmail": "mailto:NRSS_DataStore@nps.gov" - }, - "description": "Inventory of intertidal fish in Ebey's Landing National Historical Reserve tabular data 2001-2005.Coastal and Fisheries staff from Olympic National Park conducted a 3-day inventory of intertidal fishes adjacent to the shoreline of Ebey’s Landing National Historical Reserve. Beach seine sampling was employed in all intertidal habitats on both the Admiralty Inlet and Penn Cove shorelines. A total of 31 locations were sampled, resulting in documentation of 28 species. The habitats in both of these regions include sand, gravel, cobble, and boulder beaches. Fish community composition in both regions was dominated by juvenile salmon, particularly chum salmon smolts, however the communities in each region were significantly different from each other. 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This dataset provides detailed information about areas identified in the U.S. where lead levels have not met the National Ambient Air Qualit + "description": "<p dir=\"ltr\">[Note 2026-08-31: File \"README_Tribolium_Density_MS_ADDENDUM.txt\" was added to dataset.]</p><p dir=\"ltr\">[Note 2026-08-12: Files \"Supplemental Table 1_adult number g larvae.xlsx\", \"Supplemental Table 2_flour loss glm.xlsx\", \"Supplemental Table 3_reproductive output contrasts.csv\", \"Supplemental Table 4_Pairwise_G-Test_DFU_adults.xlsx\", and \"Supplemental Table 5_VOC peak table.csv\" were added to dataset.]</p><p dir=\"ltr\"><i>Tribolium castaneum</i>, the red flour beetle, is a key pest of cereal grains and products that routinely infests food processing facilities. Such facilities represent dynamic environments comprising patches of resources of variable size and quality. To understand the influence of resource availability, insect density, and initial life stage on population regulation in <i>T. castaneum</i>, this study assessed the carrying capacity and population growth rates of <i>T. castaneum </i>populations<i> </i>kept for 20 weeks in a closed environment on four different amounts of diet at four starting population levels, then compared <i>T. castaneum</i> attraction to, reproductive output on, and the volatile profiles of previously-infested (e.g., conditioned) flour. Resource availability (e.g. the amount of flour) interacted with founding population density and life stage to influence <i>T. castaneum </i>population dynamics. In resource-limited patches, carrying capacity estimates were similar across founding densities, but the effect of founding population density on carrying capacity increased with flour availability. The opposite was observed for population growth rate, which tended to be more variable for small patches but stabilized as resource availability increased. Interestingly, both effects were reduced for populations founded as larvae compared to those founded as adults. The volatile profile of conditioned flour was also influenced by the interaction of patch size, density, and life stage. The relative abundance of 1-pentadecene and benzoquinones tended to be reduced in the volatile profiles of large patches, whereas 4,8-dimethyldecanal compri