Timeline / Data.gov — Health Datasets
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Evidence
| Source | Data.gov — Health Datasets |
|---|---|
| Agency | Data.gov |
| URL | https://api.gsa.gov/technology/datagov/v4/search?q=health&sort=last_harvested_date&per_page=100&api_key=${DATAGOV_API_KEY} |
| Observed by | Civic Memory, directly, on 2026-10-05T06:23:20+00:00 |
| Content type | application/json |
| Current object |
d8471dd114e07e8b92f24400fbc959014aba49562624c44b6f81829dcd906340
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| Previous object |
ec80feda9d17ab5f1558a5687300f124abb307a313f039f0953eb60772e992f5
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What changed derived
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civic-memory.diff_engine 1.1.0 at
2026-10-05T06:23:20+00:00 by normalizing the two archived objects above. The
objects are authoritative; this reading of them can be regenerated or deleted
without loss. 261 line(s) added, 440 line(s) removed.
--- previous +++ current @@ -1,11 +1,176 @@ { - "after": "WzE3OTA5NzA2NDEwNTIsMTMuMzMwODc0LDAsIjk3ODU5YmQ3LTU3ODEtNDVlZS04ZTMxLTRmYTY4YTk0YjUxNCJd", + "after": "WzE3OTA5NzA2NDE2ODEsMTMuMzM0NDQsMCwiNzk3MTc5MGYtZDMwZC00NDRlLWJkMzUtMDMwZjc0Zjk2NTljIl0=", "results": [ { - "_score": 3.9197798, + "_score": 4.868698, + "_sort": [ + 1791171920436, + 4.868698, + 3, + "67325136-2f6b-4f93-a433-fdc1272f29fe" + ], + "access_level": "public", + "dcat": { + "accessLevel": "public", + "bureauCode": [ + "010:12" + ], + "contactPoint": { + "@type": "vcard:Contact", + "fn": "U.S. Geological Survey, Western Ecological Research Center", + "hasEmail": "mailto:gs-b-werc_data_management@usgs.gov" + }, + "description": "These data summarize how greater sage‑grouse (Centrocercus urophasianus; hereafter sage-grouse) populations have changed from 1960 through 2025. They include results from a system designed to alert managers when a local population begins to behave differently from the larger regional population. Although these changes are detected using counts of male birds at breeding areas ('leks'), the final information is reported at a broader geographic scale called a neighborhood cluster, as lek locations are considered ecologically sensitive.\nSage-grouse are at the center of state and national land-use policies largely because of their unique life-history traits as an ecological indicator for health of sagebrush ecosystems. This updated population trend analysis provides state and federal land and wildlife managers with the best-available science to help guide management and conservation plans aimed at benefitting sage-grouse populations and the ecosystems they inhabit. This analysis relied on previously published population trend modeling methodology from Coates and others (2021, 2022) and incorporates population lek count data for 1960-2025. Included in this report are methodological updates to lek count data aggregation, state-space model forecasting, and targed annual warning system (TAWS) signals, which are detailed under individual Modification sections. State-space models estimated 2.7-percent average annual decline in sage-grouse populations between 1966 and 2021 (Period 1-7, six population oscillations) across their geographical range. Average annual decline among climate clusters for the same number of oscillations ranged between 2.0 and 3.5 percent. Cumulative declines were 42.4, 61.7, and 77.9 percent range-wide during Period 5-7 (19 years), Period 3-7 (35 years), and Period 1-7 (55 years), respectively. Between 2024 and 2025 (one-year, non-trend timeframe), range-wide population size declined 1.9 percent (95-percent CRI = -4.71-1.48).\nDefinitions:\nWatch: A TAWS alert level assigned to a population unit (lek or NC) when slow signals are detected in 2 consecutive years. A \nWatch^r represents the first formal, multi-year evidence of a sustained decoupled decline at the local scale and calls for heightened monitoring attention.\nAcute Warning: A TAWS alert level assigned to a population unit (lek or NC) when slow signals are detected in 3 of 4 consecutive years, or fast signals in 2 of 3 consecutive years. A Warning^r represents sustained, statistically aberrant decline relative to the regional trend, a pattern inconsistent with climate-driven variation alone. A Warning^r concurrently activates a chronic Warning^N. The superscript (r) designates that this alert is based on intrinsic rate of change in abundance (r-hat) divergence from the regional trend, distinguishing it from the abundance-referenced chronic Warning^N designation.\nChronic Warning^N: A TAWS alert category that activates concurrently alongside a Warning^r. Unlike the Warning^r which is a binary, annual assessment based on intrinsic rate of change in abundance (r-hat) divergence from the regional trend, the chronic Warning^N remains in effect beyond the year of Warning^r activation, providing an ongoing record of whether the population has demonstrated a meaningful rebound in abundance. The chronic Warning^N is removed only once the population unit’s estimated abundance rises to match or exceed a projected recovery threshold (Target Abundance). This threshold is derived from the climate cluster’s rate of change in abundance as applied to the population unit abundance, prior to the initial signal that led to the Warning^N. This design ensures that a Warning is not prematurely lifted from population units that have ceased to decline (and decouple) but have not yet recovered to a biologically meaningful level of abundance that accounts for broader trends in population change. \nWatches may identify the need for intensive monitoring whereas warnings may identify the need for management intervention aimed at stabilizing populations.\nPlease refer to the work in the Larger Works citation for a complete glossary of terms.\nReferences:\nCoates, P.S., Prochazka, B.G., O’Donnell, M.S., Aldridge, C.L., Edmunds, D.R., Monroe, A.P., Ricca, M.A., Wann, G.T., Hanser, S.E., Wiechman, L.A., and Chenaille, M.P., 2021, Range-wide greater sage-grouse hierarchical monitoring framework-Implications for defining population boundaries, trend estimation, and a targeted annual warning system: U.S. Geological Survey Open-File Report 2020-1154, 243 p., https://doi.org/10.3133/ofr20201154.\nCoates, P.S., Prochazka, B.G., Aldridge, C.L., O’Donnell, M.S., Edmunds, D.R., Monroe, A.P., Hanser, S.E., Wiechman, L.A., and Chenaille, M.P., 2022, Range-wide population trend analysis for greater sage-grouse (Centrocercus urophasianus)-Updated 1960-2021: U.S. Geological Survey Data Report 1165, 16 p., https://doi.org/10.3133/dr1165", + "distribution": [ + { + "@type": "dcat:Distribution", + "accessURL": "https://doi.org/10.5066/P9OQWGIV", + "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.637e9b26d34ed907bf76eb1e.xml", + "format": "XML", + "mediaType": "text/xml", + "title": "Original Metadata" + } + ], + "identifier": "http://datainventory.doi.gov/id/dataset/USGS_637e9b26d34ed907bf76eb1e", + "keyword": [ + "California", + "Colorado", + "Idaho", + "Montana", + "Nevada", + "North Dakota", + "Oregon", + "South Dakota", + "USGS:637e9b26d34ed907bf76eb1e", + "Utah", + "Washington", + "Wyoming", + "adaptive management", + "biota", + "ecology", + "geospatial datasets", + "human impacts", + "long-term ecological monitoring", + "shrubland ecosystems", + "targeted monitoring", + "triggers", + "warning system", + "western United States" + ], + "modified": "2026-10-02T00:00:00Z", + "publisher": { + "@type": "org:Organization", + "name": "U.S. Geological Survey" + }, + "spatial": "-123.7580, 35.9960, -102.2950, 49.9086", + "theme": [ + "geospatial" + ], + "title": "Trends and a Targeted Annual Warning System for Greater Sage-Grouse in the Western United States (ver. 6.0, October 2026)" + }, + "description": "These data summarize how greater sage‑grouse (Centrocercus urophasianus; hereafter sage-grouse) populations have changed from 1960 through 2025. They include results from a system designed to alert managers when a local population begins to behave differently from the larger regional population. Although these changes are detected using counts of male birds at breeding areas ('leks'), the final information is reported at a broader geographic scale called a neighborhood cluster, as lek locations are considered ecologically sensitive.\nSage-grouse are at the center of state and national land-use policies largely because of their unique life-history traits as an ecological indicator for health of sagebrush ecosystems. This updated population trend analysis provides state and federal land and wildlife managers with the best-available science to help guide management and conservation plans aimed at benefitting sage-grouse populations and the ecosystems they inhabit. This analysis relied on previously published population trend modeling methodology from Coates and others (2021, 2022) and incorporates population lek count data for 1960-2025. Included in this report are methodological updates to lek count data aggregation, state-space model forecasting, and targed annual warning system (TAWS) signals, which are detailed under individual Modification sections. State-space models estimated 2.7-percent average annual decline in sage-grouse populations between 1966 and 2021 (Period 1-7, six population oscillations) across their geographical range. Average annual decline among climate clusters for the same number of oscillations ranged between 2.0 and 3.5 percent. Cumulative declines were 42.4, 61.7, and 77.9 percent range-wide during Period 5-7 (19 years), Period 3-7 (35 years), and Period 1-7 (55 years), respectively. Between 2024 and 2025 (one-year, non-trend timeframe), range-wide population size declined 1.9 percent (95-percent CRI = -4.71-1.48).\nDefinitions:\nWatch: A TAWS alert level assigned to a population unit (lek or NC) when slow signals are detected in 2 consecutive years. A \nWatch^r represents the first formal, multi-year evidence of a sustained decoupled decline at the local scale and calls for heightened monitoring attention.\nAcute Warning: A TAWS alert level assigned to a population unit (lek or NC) when slow signals are detected in 3 of 4 consecutive years, or fast signals in 2 of 3 consecutive years. A Warning^r represents sustained, statistically aberrant decline relative to the regional trend, a pattern inconsistent with climate-driven variation alone. A Warning^r concurrently activates a chronic Warning^N. The superscript (r) designates that this alert is based on intrinsic rate of change in abundance (r-hat) divergence from the regional trend, distinguishing it from the abundance-referenced chronic Warning^N designation.\nChronic Warning^N: A TAWS alert category that activates concurrently alongside a Warning^r. Unlike the Warning^r which is a binary, annual assessment based on intrinsic rate of change in abundance (r-hat) divergence from the regional trend, the chronic Warning^N remains in effect beyond the year of Warning^r activation, providing an ongoing record of whether the population has demonstrated a meaningful rebound in abundance. The chronic Warning^N is removed only once the population unit’s estimated abundance rises to match or exceed a projected recovery threshold (Target Abundance). This threshold is derived from the climate cluster’s rate of change in abundance as applied to the population unit abundance, prior to the initial signal that led to the Warning^N. This design ensures that a Warning is not prematurely lifted from population units that have ceased to decline (and decouple) but have not yet recovered to a biologically meaningful level of abundance that accounts for broader trends in population change. \nWatches may identify the need for intensive monitoring whereas warnings may identify the need for management intervention aimed at stabilizing populations.\nPlease refer to the work in the Larger Works citation for a complete glossary of terms.\nReferences:\nCoates, P.S., Prochazka, B.G., O’Donnell, M.S., Aldridge, C.L., Edmunds, D.R., Monroe, A.P., Ricca, M.A., Wann, G.T., Hanser, S.E., Wiechman, L.A., and Chenaille, M.P., 2021, Range-wide greater sage-grouse hierarchical monitoring framework-Implications for defining population boundaries, trend estimation, and a targeted annual warning system: U.S. Geological Survey Open-File Report 2020-1154, 243 p., https://doi.org/10.3133/ofr20201154.\nCoates, P.S., Prochazka, B.G., Aldridge, C.L., O’Donnell, M.S., Edmunds, D.R., Monroe, A.P., Hanser, S.E., Wiechman, L.A., and Chenaille, M.P., 2022, Range-wide population trend analysis for greater sage-grouse (Centrocercus urophasianus)-Updated 1960-2021: U.S. Geological Survey Data Report 1165, 16 p., https://doi.org/10.3133/dr1165", + "distribution_titles": [ + "Digital Data", + "Original Metadata" + ], + "harvest_record": "https://catalog.data.gov/harvest_record/235667f3-a4c6-4e70-a3be-4db2e9f455dc", + "harvest_record_raw": "https://catalog.data.gov/harvest_record/235667f3-a4c6-4e70-a3be-4db2e9f455dc/raw", + "has_download": true, + "has_spatial": true, + "identifier": "http://datainventory.doi.gov/id/dataset/USGS_637e9b26d34ed907bf76eb1e", + "keyword": [ + "California", + "Colorado", + "Idaho", + "Montana", + "Nevada", + "North Dakota", + "Oregon", + "South Dakota", + "USGS:637e9b26d34ed907bf76eb1e", + "Utah", + "Washington", + "Wyoming", + "adaptive management", + "biota", + "ecology", + "geospatial datasets", + "human impacts", + "long-term ecological monitoring", + "shrubland ecosystems", + "targeted monitoring", + "triggers", + "warning system", + "western United States" + ], + "last_harvested_date": "2026-10-05T03:45:20.436139", + "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": 3, + "publisher": "U.S. Geological Survey", + "slug": "trends-and-a-targeted-annual-warning-system-for-greater-sage-grouse-in-the-western-un-2025", + "spatial_centroid": { + "lat": 41.561040000000006, + "lon": -115.17280000000001 + }, + "spatial_shape": { + "coordinates": [ + [ + [ + -123.758, + 35.996 + ], + [ + -123.758, + 49.9086 + ], + [ + -102.295, + 49.9086 + ], + [ + -102.295, + 35.996 + ], + [ + -123.758, + 35.996 + ] + ] + ], + "type": "Polygon" + }, + "theme": [ + "geospatial" + ], + "title": "Trends and a Targeted Annual Warning System for Greater Sage-Grouse in the Western United States (ver. 6.0, October 2026)", + "type": "dataset" + }, + { + "_score": 3.9203296, "_sort": [ 1791154313143, - 3.9197798, + 3.9203296, 99, "91285c37-3e59-42d1-8b57-4d75a2ec2fb6" ], @@ -101,10 +266,10 @@ "type": "dataset" }, { - "_score": 11.384053, + "_score": 11.384202, "_sort": [ 1791148869469, - 11.384053, + 11.384202, 17, "19ff698a-4da2-4dce-a377-7cd7b52e1aba" ], @@ -273,10 +438,10 @@ "type": "dataset" }, { - "_score": 11.1704855, + "_score": 11.170584, "_sort": [ 1791148868086, - 11.1704855, + 11.170584, 19, "daa82686-1435-49f3-93bc-568fc796f008" ], @@ -445,10 +610,10 @@ "type": "dataset" }, { - "_score": 11.384053, + "_score": 11.384202, "_sort": [ 1791148866721, - 11.384053, + 11.384202, 4, "dda5cd5e-0c1a-4b4a-9e5e-d5597d8c3501" ], @@ -615,10 +780,10 @@ "type": "dataset" }, { - "_score": 11.1704855, + "_score": 11.170584, "_sort": [ 1791148865375, - 11.1704855, + 11.170584, 223, "73f8e9da-8df8-4df2-9c9f-eb4168b08148" ], @@ -805,10 +970,10 @@ "type": "dataset" }, { - "_score": 11.217668, + "_score": 11.217417, "_sort": [ 1791148864093, - 11.217668, + 11.217417, 5, "f1f8471a-09f1-4b16-bd38-c95d42b61b15" ], @@ -977,10 +1142,10 @@ "type": "dataset" }, { - "_score": 11.46345, + "_score": 11.463469, "_sort": [ 1791148862697, - 11.46345, + 11.463469, 27, "65baa0b6-a024-4baa-b672-b3cd6d816b4e" ], @@ -1149,10 +1314,10 @@ "type": "dataset" }, { - "_score": 15.742699, + "_score": 15.743018, "_sort": [ 1791148857533, - 15.742699, + 15.743018, 2, "377f56f8-58ef-4f8b-bb46-f78317e7fdf7" ], @@ -1303,10 +1468,10 @@ "type": "dataset" }, { - "_score": 15.742699, + "_score": 15.743018, "_sort": [ 1791148856246, - 15.742699, + 15.743018, 2, "fa1e4301-1b10-442c-b35c-e11f0fd1f39f" ], @@ -1457,10 +1622,10 @@ "type": "dataset" }, { - "_score": 15.742699, + "_score": 15.743018, "_sort": [ 1791148852417, - 15.742699, + 15.743018, 2, "0a8915db-1790-4008-b019-072b2610e29a" ], @@ -1611,10 +1776,10 @@ "type": "dataset" }, { - "_score": 15.742699, + "_score": 15.743018, "_sort": [ 1791148849893, - 15.742699, + 15.743018, 1, "58bdea70-d0f2-43e7-995c-6e8986ba9a9c" ], @@ -1765,10 +1930,10 @@ "type": "dataset" }, { - "_score": 15.739816, + "_score": 15.737495, "_sort": [ 1791148848628, - 15.739816, + 15.737495, 4, "c1ff7bf1-4e8a-4d7e-bdf7-1bf3f0cfaf6a" ], @@ -1919,10 +2084,10 @@ "type": "dataset" }, { - "_score": 13.470344, + "_score": 13.469933, "_sort": [ 1791148847140, - 13.470344, + 13.469933, 8, "e88e8188-68ac-4d78-a133-487bd3f20b90" ], @@ -2153,10 +2318,10 @@ "type": "dataset" }, { - "_score": 11.641739, + "_score": 11.641932, "_sort": [ 1791082023411, - 11.641739, + 11.641932, 3, "894a7b61-1867-4060-80df-ffa87decb22d" ], @@ -2294,10 +2459,10 @@ "type": "dataset" }, { - "_score": 3.0851622, + "_score": 3.0852041, "_sort": [ 1791068506212, - 3.0851622, + 3.0852041, 64, "ed8dd3fd-4b0f-4755-9fa1-4c5a2b747531" ], @@ -2411,10 +2576,10 @@ "type": "dataset" }, { - "_score": 3.0805254, + "_score": 3.080718, "_sort": [ 1791068425485, - 3.0805254, + 3.080718, 11, "cb91cd08-33fb-49bf-82c3-23af91a3f524" ], @@ -2539,10 +2704,10 @@ "type": "dataset" }, { - "_score": 3.0851622, + "_score": 3.0852041, "_sort": [ 1791068399992, - 3.0851622, + 3.0852041, 15, "0d6e98f7-332e-4e3a-b87e-a9255ce68d16" ], @@ -2660,10 +2825,10 @@ "type": "dataset" }, { - "_score": 10.072322, + "_score": 10.071404, "_sort": [ 1791067881809, - 10.072322, + 10.071404, 23, "c750fbfa-ea36-4ad9-bcb6-460ec79d1c9b" ], @@ -2769,10 +2934,10 @@ "type": "dataset" }, { - "_score": 2.5411816, + "_score": 2.541214, "_sort": [ 1791067870394, - 2.5411816, + 2.541214, 14, "49593417-c93c-43d5-925b-6ee25d7284bb" ], @@ -2887,10 +3052,10 @@ "type": "dataset" }, { - "_score": 16.976204, + "_score": 16.978481, "_sort": [ 1791067815850, - 16.976204, + 16.978481, 10, "52411636-9d3f-4c21-8c7c-f50bbb600f4d" ], @@ -2996,10 +3161,10 @@ "type": "dataset" }, { - "_score": 49.48333, + "_score": 49.480385, "_sort": [ 1791065684458, - 49.48333, + 49.480385, 0, "5117d7c1-d130-4184-9fc1-3f011601d4fb" ], @@ -3247,10 +3412,10 @@ "type": "dataset" }, { - "_score": 17.303192, + "_score": 17.296993, "_sort": [ 1791057509456, - 17.303192, + 17.296993, 1, "338444cf-b16b-4582-a71c-34419b97e7ab" ], @@ -3338,10 +3503,10 @@ "type": "dataset" }, { - "_score": 16.805704, + "_score": 16.805458, "_sort": [ 1791057502560, - 16.805704, + 16.805458, 4, "c5b004b5-e137-433d-834d-35fb52fae906" ], @@ -3435,10 +3600,10 @@ "type": "dataset" }, { - "_score": 17.2521, + "_score": 17.250774, "_sort": [ 1791057494222, - 17.2521, + 17.250774, 7, "aaa68832-3563-4ac6-9555-78bac3877014" ], @@ -3536,10 +3701,10 @@ "type": "dataset" }, { - "_score": 11.959196, + "_score": 11.958822, "_sort": [ 1791057494083, - 11.959196, + 11.958822, 6, "3a22ec37-674e-42e8-807a-cda8bac6c63b" ], @@ -3635,10 +3800,10 @@ "type": "dataset" }, { - "_score": 16.80373, + "_score": 16.802551, "_sort": [ 1791057493941, - 16.80373, + 16.802551, 3, "dd2ae0a2-ce0f-42d8-ba82-2b6faa8c4560" ], @@ -3736,10 +3901,10 @@ "type": "dataset" }, { - "_score": 17.350906, + "_score": 17.349766, "_sort": [ 1791057493785, - 17.350906, + 17.349766, 6, "18198612-e791-4bbf-ac87-c778c8f6b983" ], @@ -3837,10 +4002,10 @@ "type": "dataset" }, { - "_score": 11.470514, + "_score": 11.470009, "_sort": [ 1791057493305, - 11.470514, + 11.470009, 13, "c6e4ae5e-a53e-4afd-9bd4-95d48545c126" ], @@ -3950,10 +4115,10 @@ "type": "dataset" }, { - 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10.308722, + 10.309294, 0, "010f5ae4-8158-40a5-8996-297ecfe8d6ba" ], @@ -4618,10 +4783,10 @@ "type": "dataset" }, { - "_score": 13.343844, + "_score": 13.337261, "_sort": [ 1790979834517, - 13.343844, + 13.337261, 11, "1315ea97-cbd1-4a66-9d5c-91252cda9633" ], @@ -4773,10 +4938,10 @@ "type": "dataset" }, { - "_score": 2.5257215, + "_score": 2.5255556, "_sort": [ 1790979667139, - 2.5257215, + 2.5255556, 74, "791f92e6-0c92-42a4-b9be-6f3e4ae46131" ], @@ -4901,10 +5066,10 @@ "type": "dataset" }, { - "_score": 16.23952, + "_score": 16.237814, "_sort": [ 1790979239526, - 16.23952, + 16.237814, 18, "c0920c3f-0339-4eac-9b66-6495cc508a41" ], @@ -5001,10 +5166,10 @@ "type": "dataset" }, { - "_score": 12.340052, + "_score": 12.340378, "_sort": [ 1790970862308, - 12.340052, + 12.340378, 0, "3f6a0f75-1754-49eb-880a-7abb17a02a55" ], @@ -5123,10 +5288,10 @@ "type": "dataset" }, { - "_score": 15.459378, + "_score": 15.458504, "_sort": [ 1790970857318, - 15.459378, + 15.458504, 0, "9d92dc4e-88ad-442e-96b9-cd7c6ff09b45" ], @@ -5255,10 +5420,10 @@ "type": "dataset" }, { - 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The database is now (09-28-2021) also provided in R data format (.RDS) for use with the R programming language.This database, also commonly referred to as a library, is one in a series of high-quality mass spectral libraries/databases produced by NIST (see NIST SRD 1a, https://dx.doi.org/10.18434/T4H594).", - "distribution": [ - { - "accessURL": "https://doi.org/10.18434/mds2-2313", - "title": "DOI Access for NIST DART-MS Forensics Database 2020" - }, - { - "description": "Positive mode database collected using helium as the source gas. In this folder is the .RDS format of the database (compatible with the NIST/NIJ Data Interpretation Tool), the .SDF format of the database (compatible with NIST MS Search), and the release notes which outline the new compounds added to the database.", - "downloadURL": "https://data.nist.gov/od/ds/mds2-2313/230104_He_Pos_Library_Grasshopper.zip", - "mediaType": "application/x-zip-compressed", - "title": "NIST DART-MS Forensics Database - Version Grasshopper" - }, - { - "description": "The NIST DART-MS Forensics library (is-CID mass spectra) updated as of January 19th, 2021. 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The library is provided as both a general-purpose structure data file (.SDF) for use with any text editor and as an R data file (.RDS) for use with the R programming language.", - "downloadURL": "https://data.nist.gov/od/ds/mds2-2313/220315_HeLibrary_Firefly.zip", - "mediaType": "application/zip", - "title": "DART-MS Forensics Database Firefly" - }, - { - "description": "Updated NIST DART-MS Forensics Database including spectra of 830 compounds of interest.", - "downloadURL": "https://data.nist.gov/od/ds/mds2-2313/NIST_DART-MS_Forensics_Cicada.SDF", - "format": "SDF (text file)", - "mediaType": "text/plain", - "title": "Updated NIST + "spa