CivicMemory

Timeline / Data.gov — Health Datasets

changed Source changed

A new raw object was archived. Both versions are preserved. 4637 line(s) added, 5192 line(s) removed.

Evidence

SourceData.gov — Health Datasets
AgencyData.gov
URLhttps://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 2026-09-16T00:22:29+00:00
Content typeapplication/json
Current object b5d2a99c9443f0ad7b150e97d6b250550a6958fa6a68919790cfd4bd048c3109 download raw metadata
Previous object 6876f2d1f5a05570fa2a1616d88d15ae97630d8310c6f852384f5c3ffe7ca878 download raw metadata

What changed derived

This diff is not evidence. It was produced by civic-memory.diff_engine 1.1.0 at 2026-09-16T00:22:29+00:00 by normalizing the two archived objects above. The objects are authoritative; this reading of them can be regenerated or deleted without loss. 4637 line(s) added, 5192 line(s) removed.

--- previous
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- "hasEmail": "mailto:woodruff@umass.edu"
- },
- "description": "Salt marshes of the Northeastern United States (Maine to Virginia) are vulnerable to loss given their history of intensive human alteration. One direct human modification – ditching – was common across the Northeast for salt hay farming since European Colonization and for mosquito control in the first half of the 20th century. We hand-digitized linear ditches across Northeastern intertidal emergent wetlands from contemporary aerial imagery within the bounds of the National Wetland Inventory's Estuarine Intertidal Emergent Wetland areas.",
+ "fn": "Joshua Linard",
+ "hasEmail": "mailto:jilinard@usgs.gov"
+ },
+ "description": "The U.S. Geological Survey Data Series provides raster data representing an estimate of the \nmean-annual erosion potential of a 30-meter raster cell in Colorado and New Mexico. The units \nare tons per acres per year with the idea that a user will average values over an area of interest. \nThe values were calculated using publicly available geospatial data representing variables of the \nRevised Universal Soil Loss Equation.",
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  "description": "Landing page for access to the data",
  "format": "XML",
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@@ -32,89 +32,79 @@
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- "downloadURL": "https://data.usgs.gov/datacatalog/metadata/USGS.6633b8ead34ea70bd5f28fd1.xml",
+ "downloadURL": "https://data.usgs.gov/datacatalog/metadata/USGS.84db3cec-b1c5-4d91-b7da-21dc9f3664a7.xml",
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- "salt marsh",
- "vulnerability",
- "wetland ecosystems",
- "wetland functions"
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+ "Erodibility",
+ "Erosion",
+ "New Mexico",
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+ "Revised Universal Soil Loss Equation",
+ "Sediment yield",
+ "USGS:84db3cec-b1c5-4d91-b7da-21dc9f3664a7",
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+ "geological and geophysical",
+ "human health and diease",
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+ "imagery and base maps",
+ "inland waters",
+ "locations and geodetic networks",
+ "oceans and estuaries",
+ "rainfall-energy factor",
+ "slope-length factor",
+ "soil-erodibility factor",
+ "vegetative-cover factor"
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- "title": "Linear Ditches of Northeastern U.S. Coastal Marshes from Maine to Virginia Derived from 2023 2D Aerial Imagery Basemap"
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- "description": "Salt marshes of the Northeastern United States (Maine to Virginia) are vulnerable to loss given their history of intensive human alteration. One direct human modification – ditching – was common across the Northeast for salt hay farming since European Colonization and for mosquito control in the first half of the 20th century. We hand-digitized linear ditches across Northeastern intertidal emergent wetlands from contemporary aerial imagery within the bounds of the National Wetland Inventory's Estuarine Intertidal Emergent Wetland areas.",
+ "title": "Mean-annual erosion potential for Colorado and New Mexico"
+ },
+ "description": "The U.S. Geological Survey Data Series provides raster data representing an estimate of the \nmean-annual erosion potential of a 30-meter raster cell in Colorado and New Mexico. The units \nare tons per acres per year with the idea that a user will average values over an area of interest. \nThe values were calculated using publicly available geospatial data representing variables of the \nRevised Universal Soil Loss Equation.",
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- "wetland functions"
- ],
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+ "New Mexico",
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+ "geological and geophysical",
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+ "locations and geodetic networks",
+ "oceans and estuaries",
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+ "vegetative-cover factor"
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- "modified": "2026-09-13T22:25:23.000+00:00",
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- "spatial": "United States, Puerto Rico",
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- "description": "Effective September 27, 2023, this dataset will be updated weekly on Thursdays.\n\nDeaths involving COVID-19, pneumonia, and influenza reported to NCHS by week ending date and by state",
+ "name": "data.cityofnewyork.us"
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