Timeline / Data.gov — Health Datasets
changed Source changed
A new raw object was archived. Both versions are preserved. 3004 line(s) added, 3571 line(s) removed.
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 2026-10-07T06:18:20+00:00 |
| Content type | application/json |
| Current object |
6746cecdaadf866faed0cca69a15c4bed06ef24569b797d8601afa274f7029db
download raw
metadata
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| Previous object |
95373f114efce3981bed9db2b6c27e40af0d6b218ee9026daf2dc29100a53a3d
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metadata
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What changed derived
This diff is not evidence. It was produced by
civic-memory.diff_engine 1.1.0 at
2026-10-07T06:18:20+00:00 by normalizing the two archived objects above. The
objects are authoritative; this reading of them can be regenerated or deleted
without loss. 3004 line(s) added, 3571 line(s) removed.
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The NPL is intended primarily to guide the EPA in determining which sites warrant further investigation.", + "fn": "Miryam Strautkalns", + "hasEmail": "mailto:miryam.strautkalns@nasa.gov" + }, + "description": "Prognostics technologies determine the health (or damage) state of a component or sub- system, and make end of life (EOL) and remaining useful life (RUL) predictions. Such infor- mation enables system operators to make informed maintenance decisions and streamline operational and mission-level activities. We develop a model-based prognostics method- ology for pneumatic valves used in ground support equipment for cryogenic propellant loading operations. These valves are used to control the ow of propellant, so failures may have a signi cant impact on launch availability. Therefore, correctly predicting when valves will fail enables timely maintenance that avoids launch delays and aborts. The approach utilizes mathematical models describing the underlying physics of valve degradation, and, employing the particle ltering algorithm for joint state-parameter estimation, determines the health state of the valve and the rate of damage progression, from which EOL and RUL predictions are made. 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The NPL is intended primarily to guide the EPA in determining which sites warrant further investigation.", + "name": "Dashlink" + }, + "title": "Prognostics for Ground Support Systems: Case Study on Pneumatic Valves" + }, + "description": "Prognostics technologies determine the health (or damage) state of a component or sub- system, and make end of life (EOL) and remaining useful life (RUL) predictions. Such infor- mation enables system operators to make informed maintenance decisions and streamline operational and mission-level activities. We develop a model-based prognostics method- ology for pneumatic valves used in ground support equipment for cryogenic propellant loading operations. These valves are used to control the ow of propellant, so failures may have a signi cant impact on launch availability. Therefore, correctly predicting when valves will fail enables timely maintenance that avoids launch delays and aborts. The approach utilizes mathematical models describing the underlying physics of valve degradation, and, employing the particle ltering algorithm for joint state-parameter estimation, determines the health state of the valve and the rate of damage progression, from which EOL and RUL predictions are made. 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The gridding is done by the Columbia University Center for International Earth Science Information Network (CIESIN).", + "fn": "Indir Jaganjac", + "hasEmail": "mailto:ijaganjac@yahoo.com" + }, + "description": "FLTz flight simulator RecorderRun9 data are analyzed in order \r\nto compute systems health score using Granger causal connectovity \r\nanalysis. First G-causality is computed, and then causal density (cd) is \r\ncomputed in interval [0,1]. Numerical value of causal density for this data file is 0.4711, which corresponds to systems health score.", "distribution": [ { "@type": "dcat:Distribution", - "conformsTo": "http://www.isotc211.org/2005/gmi", - "description": "The metadata's original source.", - "downloadURL": "https://cmr.earthdata.nasa.gov/search/concepts/C3550194158-ESDIS.iso19115", - "format": "ISO", - "mediaType": "text/xml", - "title": "Original Metadata" - }, - { - "@type": "dcat:Distribution", - "downloadURL": "https://search.earthdata.nasa.gov/search/granules?p=C3550194158-ESDIS", - "format": "BIN", - "mediaType": "application/octet-stream" - }, - { - "@type": "dcat:Distribution", - "downloadURL": "https://www.earthdata.nasa.gov/about/esdis", - "format": "BIN", - "mediaType": "application/octet-stream" + "description": "FLTz FOQA G-causality Run9.zip", + "downloadURL": "https://c3.nasa.gov/dashlink/static/media/dataset/FLTz_FOQA_G-causality_Run9.zip", + "format": "ZIP", + "mediaType": "application/zip", + "title": "FLTz FOQA G-causality Run9.zip" } ], - "identifier": "10.7927/H4DN4300", - "keyword": [ - "earth-science-ocean-chemistry-oceans-chlorophyll", - "earth-science-public-health-human-dimensions-environmental-health-factors" - ], - "license": "https://www.usa.gov/government-works", - "modified": "2026-09-29", + "identifier": "DASHLINK_625", + "issued": "2012-11-14", + "keyword": [ + "ames", + "dashlink", + "nasa" + ], + "landingPage": "https://c3.nasa.gov/dashlink/resources/625/", + "modified": "2025-03-31", "programCode": [ - "026:000" + "026:029" ], "publisher": { "@type": "org:Organization", - "name": "ESDIS" - }, - "spatial": "[\"CARTESIAN\", [{\"NorthBoundingCoordinate\": 89.99928, \"WestBoundingCoordinate\": -180, \"EastBoundingCoordinate\": 179.99856, \"SouthBoundingCoordinate\": -90}]]", - "temporal": "1998-01-01/2007-12-31", - "theme": [ - "Earth Science" - ], - "title": "Indicators of Coastal Water Quality: Annual Chlorophyll-a Concentration 1998-2007" - }, - "description": "The Annual Chlorophyll-a Concentrations component of the Indicators of Coastal Water Quality Collection consists of gridded satellite measurements of chlorophyll-a concentrations (in nanogram/cubic meter) in a band extending between 10 and 100 km from the shoreline. 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The gridding is done by the Columbia University Center for International Earth Science Information Network (CIESIN).", + "name": "Dashlink" + }, + "title": "Indir Jaganjac" + }, + "description": "FLTz flight simulator RecorderRun9 data are analyzed in order \r\nto compute systems health score using Granger causal connectovity \r\nanalysis. First G-causality is computed, and then causal density (cd) is \r\ncomputed in interval [0,1]. 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Each threat ranked potential development from 0-100 with 100 indicating the highest potential for future development of the resource and were produced at a 50 square kilometer (km2) grid cell resolution, excluding all cells overlapping Antarctica and those with >50% considered marine.", + "fn": "Carlton Allen", + "hasEmail": "mailto:carlton.c.allen@nasa.gov" + }, + "description": "Structural damage to ball grid array interconnects incurred during vibration testing has been monitored in the prefailure space using resistance spectroscopy-based state space vectors, rate of change of the state variable, and acceleration of the state variable. The technique is intended for condition monitoring in high reliability applications where the knowledge of impending failure is critical and the risks in terms of loss of functionality are too high to bear. Future state of the system has been estimated based on a second-order Kalman Filter model and a Bayesian Framework. 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The technique is intended for condition monitoring in high reliability applications where the knowledge of impending failure is critical and the risks in terms of loss of functionality are too high to bear. Future state of the system has been estimated based on a second-order Kalman Filter model and a Bayesian Framework. The measured state variable has been related to the underlying interconnect damage in the form of inelastic strain energy density. Performance of the prognostic health management algorithm during the vibration test has been quantified using performance evaluation metrics. The method- ology has been demonstrated on leadfree area-array electronic assemblies subjected to vibration. Model predictions have been correlated with experimental data. The presented approach is applicable to functional systems where corner interconnects in area-array packages may be often redundant. Prognostic metrics including α − λ precision, β accuracy, and relative accuracy have been used to assess the performance of the damage proxies. 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This data set is the result of collaboration among the Columbia University Center for Hazards and Risk Research (CHRR), International Bank for Reconstruction and Development/The World Bank, and Columbia University Center for International Earth Science Information Network (CIESIN).", + "fn": "Beth Beck", + "hasEmail": "mailto:beth.beck@nasa.gov" + }, + "description": "Prognostics is an emerging concept in condition basedmaintenance(CBM)ofcriticalsystems.Alongwith developing the fundamentals of being able to confidently predict Remaining Useful Life (RUL), the technology calls for fielded applications as it inches towards maturation. This requires a stringent performance evaluation so that the significance of the concept can be fully exploited. Currently, prognostics concepts lack standard definitions and suffer from ambiguous and inconsistent interpretations. 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The Rates H10-H13 are Coincidence Counting Rates corresponding primarily to Heavy Nuclei (Z>2) with Penetrating Power equivalent to Carbon-12 Nuclei in the approximate Energy Ranges 26-36, 44-127, 127-173, and >173 MeV/n, respectively. H14-H27 are single Detector Counting Rates giving, in order, the total Number of Counts above the lowest level Discriminator Thresholds of Detectors D1-D6, K1-K6 (or D7-D12), A (or D13), and the Anti-Coincidence Scintillator S. The single Detector Counting Rates are provided simply to assess the Health of the Detectors and are of little use scientifically. The Naming Convention for the Daily Files is uly_het_full_rat_omni2_YYYDDD.txt, where YYY indicates the three digit Year since 1900 (e.g. YYY=090 for 1990, and YYY=102 for 2002) and DDD indicates the three digit Day of Year (January 1 = 1). In each File, following a detailed Description of the Format, the Data consist of a Listing of Counts accumulated in the H10-H27 Spin-Averaged Counting Rates during the Intervals between successive Readouts, organized into Columns as described below. The first four Columns give the Start Time of the Counting Rate Accumulation Period as Fractional Year (to 12 Decimal Places) and as Year since 1900, Day of Year, and Milliseconds of Day at the Start of the Accumulation, followed by one Column giving the Duration of the Accumulation Period in Milliseconds (it is the same for all Rates except H13, which is read out twice in each Accumulation Period, and is thus represented as H13a and H13b, see below and embedded Documentation in each Daily File), and 19 Columns giving the Counts accumulated in that Period for each Rate. All Fields except for the Fractional Year are in Integer Format. The Start Time for H13a is the Time given as the Start Time for the Line, but (to sufficient accuracy) its Accumulation Period is half the Period given under \"Coverage\". Again, to sufficient accuracy, the Start Time for H13b is the Time given plus half the Accumulation Period, and the Accumulation Period for H13b is half the Period given under \"Coverage\". Each Line contains Data for one single Readout of the Rates H10-H12, H13a, H13b, and H14-H27. All Readouts where at least one of the Rates has a Non-fill Value are included. Where Fill does occur it is indicated by -1. Since the Accumulation Period for each Readout is forced to include an Integral Number of Spacecraft Spins in order to produce pure Spin-Averaged Measurements, the Lengths of the Accumulation Periods vary in a Cyclic Manner as the Period of the Telemetry Cycle beats with the Spacecraft Spin Period. At the most common Science Telemetry Rate, 2048 bps, each Rate in this File is Readout on average once every 128 s, except for H13 which is Readout on average twice in every 128 s. At 2048 bps, the Cycle of Accumulation Periods is 132, 132, 120, 132, 132,, 120, 132, etc., seconds. No Noise Removal or Despiking has been done, so Caution must be used in interpreting isolated large Increases or Decreases in the Counting Rates.", "distribution": [ { "@type": "dcat:Distribution", - "conformsTo": "http://www.isotc211.org/2005/gmi", - "description": "The metadata's original source.", - "downloadURL": "https://cmr.earthdata.nasa.gov/search/concepts/C3540910536-ESDIS.iso19115", - "format": "ISO", - "mediaType": "text/xml", - "title": "Original Metadata" - }, - { - "@type": "dcat:Distribution", - "downloadURL": "https://search.earthdata.nasa.gov/search/granules?p=C3540910536-ESDIS", - "format": "BIN", - "mediaType": "application/octet-stream" - }, - { - "@type": "dcat:Distribution", - "downloadURL": "https://www.earthdata.nasa.gov/about/esdis", + "downloadURL": "http://ufa.esac.esa.int/ufa-sl-server/data-action?PROTOCOL=HTTP&PRODUCT_TYPE=ALL&FILE_NAME=ReadMeHETFullRes.doc&FILE_PATH=%2Fufa%2FHiRes%2FCOSPIN%2FHET", + "format": "BIN", + "mediaType": "application/octet-stream" + }, + { + "@type": "dcat:Distribution", + "downloadURL": "http://ufa.esac.esa.int/ufa-sl-server/data-action?PROTOCOL=HTTP&PRODUCT_TYPE=ALL&FILE_NAME=het_usernotes.pdf&FILE_PATH=%2Fufa%2FHiRes%2Fdoc%2Fcospin", + "format": "BIN", + "mediaType": "application/octet-stream" + }, + { + "@type": "dcat:Distribution", + "downloadURL": "http://ufa.esac.esa.int/ufa/#data", + "format": "BIN", + "mediaType": "application/octet-stream" + }, + { + "@type": "dcat:Distribution", + "downloadURL": "http://ufa.esac.esa.int/ufa/#instruments", + "format": "BIN", + "mediaType": "application/octet-stream" + }, + { + "@type": "dcat:Distribution", + "downloadURL": "https://helio.data.nasa.gov/dataset/Ulysses_COSPIN_HET_Rates_Omni2_PT128S", + "format": "BIN", + "mediaType": "application/octet-stream" + }, + { + "@type": "dcat:Distribution", + "downloadURL": "https://hpde.io/NASA/NumericalData/Ulysses/COSPIN/HET/Rates/Omni2/PT128S", "format": "BIN", "mediaType": "application/octet-stream" } ], - "identifier": "10.7927/H4FT8HZ2", - "keyword": [ - "earth-science-environmental-governance-management-human-dimensions", - "earth-science-socioeconomics-human-dimensions" - ], + "identifier": "https://doi.org/10.48322/78qg-8e67", + "keyword": [ + "energeticparticles" + ], + "landingPage": "https://doi.org/10.48322/78qg-8e67", "license": "https://www.usa.gov/government-works", - "modified": "2026-09-29", + "modified": "2026-09-28", "programCode": [ "026:000" ], "publisher": { "@type": "org:Organization", - "name": "ESDIS" - }, - "spatial": "[\"CARTESIAN\", [{\"NorthBoundingCoordinate\": 54, \"WestBoundingCoordinate\": 73, \"EastBoundingCoordinate\": 135, \"SouthBoundingCoordinate\": 18}]]", - "temporal": "1993-01-01/1993-12-31", - "theme": [ - "Earth Science" - ], - "title": "China Dimensions Data Collection: Priority Programme for China's Agenda 21" - }, - "description": "The Priority Programme for China's Agenda 21 consists of full-text program descriptions supporting China's economic and social development. The descriptions represent 69 programs covering legislation, policy, education, agriculture, environment, energy, transportation, regional development, population, health, and global change research. Each description includes project scope, background, objectives, activities, inputs, and benefits. This data set is produced in collaboration with the Administrative Center for China's Agenda 21 (ACCA21), United Nations Development Programme (UNDP), and the Columbia University Center for International Earth Science Information Network (CIESIN).", - "distribution_titles": [ - "Original Metadata" - ], - "harvest_record": "https://catalog.data.gov/harvest_record/1e526b7c-1713-451b-8277-50a67341ebf5", - "harvest_record_raw": "https://catalog.data.gov/harvest_record/1e526b7c-1713-451b-8277-50a67341ebf5/raw", + "name": "UlyssesFinalArchive" + }, + "theme": [ + "Heliophysics" + ], + "title": "Ulysses Cosmic Ray and Solar Particle Investigation (COSPIN) High Energy Telescope (HET) Full Resolution Heavy Ion Counts and Accumulation Times for Spin-Averaged Coincidence Counting Rates, OMNI2 H10-H27, 128 s Data" + }, + "description": "A Directory containing Daily FTP downloadable Files containing Readout-by-Readout Listings of the Counts accumulated in the H1-H27 Spin-Averaged Counting Rates. The Rates H10-H13 are Coincidence Counting Rates corresponding primarily to Heavy Nuclei (Z>2) with Penetrating Power equivalent to Carbon-12 Nuclei in the approximate Energy Ranges 26-36, 44-127, 127-173, and >173 MeV/n, respectively. H14-H27 are single Detector Counting Rates giving, in order, the total Number of Counts above the lowest level Discriminator Thresholds of Detectors D1-D6, K1-K6 (or D7-D12), A (or D13), and the Anti-Coincidence Scintillator S. The single Detector Counting Rates are provided simply to assess the Health of the Detectors and are of little use scientifically. The Naming Convention for the Daily Files is uly_het_full_rat_omni2_YYYDDD.txt, where YYY indicates the three digit Year since 1900 (e.g. YYY=090 for 1990, and YYY=102 for 2002) and DDD indicates the three digit Day of Year (January 1 = 1). In each File, following a detailed Description of the Format, the Data consist of a Listing of Counts accumulated in the H10-H27 Spin-Averaged Counting Rates during the Intervals between successive Readouts, organized into Columns as described below. The first four Columns give the Start Time of the Counting Rate Accumulation Period as Fractional Year (to 12 Decimal Places) and as Year since 1900, Day of Year, and Milliseconds of Day at the Start of the Accumulation, followed by one Column giving the Duration of the Accumulation Period in Milliseconds (it is the same for all Rates except H13, which is read out twice in each Accumulation Period, and is thus represented as H13a and H13b, see below and embedded Documentation in each Daily File), and 19 Columns giving the Counts accumulated in that Period for each Rate. All Fields except for the Fractional Year are in Integer Format. The Start Time for H13a is the Time given as the Start Time for the Line, but (to sufficient accuracy) its Accumulation Period is half the Period given under \"Coverage\". Again, to sufficient accuracy, the Start Time for H13b is the Time given plus half the Accumulation Period, and the Accumulation Period for H13b is half the Period given under \"Coverage\". Each Line contains Data for one single Readout of the Rates H10-H12, H13a, H13b, and H14-H27. All Readouts where at least one of the Rates has a Non-fill Value are included. Where Fill does occur it is indicated by -1. Since the Accumulation Period for each Readout is forced to include an Integral Number of Spacecraft Spins in order to produce pure Spin-Averaged Measurements, the Lengths of the Accumulation Periods vary in a Cyclic Manner as the Period of the Telemetry Cycle beats with the Spacecraft Spin Period. At the most common Science Telemetry Rate, 2048 bps, each Rate in this File is Readout on average once every 128 s, except for H13 which is Readout on average twice in every 128 s. At 2048 bps, the Cycle of Accumulation Periods is 132, 132, 120, 132, 132,, 120, 132, etc., seconds. No Noise Removal or Despiking has been done, so Caution must be used in interpreting isolated large Increases or Decreases in the Counting Rates.", + "distribution_titles": [], + "harvest_record": "https://catalog.data.gov/harvest_record/e6ff0bd1-2878-4392-8eb7-80780989bcc4", + "harvest_record_raw": "https://catalog.data.gov/harvest_record/e6ff0bd1-2878-4392-8eb7-80780989bcc4/raw", "has_download": true, - "has_spatial": true, - "identifier": "10.7927/H4FT8HZ2", - "keyword": [ - "earth-science-environmental-governance-management-human-dimensions", - "earth-science-socioeconomics-human-dimensions" - ], - "last_harvested_date": "2026-10-07T00:15:30.102950", + "has_spatial": false, + "identifier": "https://doi.org/10.48322/78qg-8e67", + "keyword": [ + "energeticparticles" + ], + "last_harvested_date": "2026-10-07T00:36:13.251562", "organization": { "aliases": [ "" @@ -1898,23 +1823,23 @@ }, "parent_identifier": null, "popularity": 1, - "publisher": "ESDIS", - "slug": "china-dimensions-data-collection-priority-programme-for-chinas-agenda-21-47a44", + "publisher": "UlyssesFinalArchive", + "slug": "ulysses-cosmic-ray-and-solar-particle-investigation-cospin-high-energy-telescope-het-full--47958", "spatial_centroid": null, "spatial_shape": null, "theme": [ - "Earth Science" - ], - "title": "China Dimensions Data Collection: Priority Programme for China's Agenda 21", + "Heliophysics" + ], + "title": "Ulysses Cosmic Ray and Solar Particle Investigation (COSPIN) High Energy Telescope (HET) Full Resolution Heavy Ion Counts and Accumulation Times for Spin-Averaged Coincidence Counting Rates, OMNI2 H10-H27, 128 s Data", "type": "dataset" }, { - "_score": 8.417904, + "_score": 14.941077, "_sort": [ - 1791332128749, - 8.417904, - 4, - "5e3c2117-4a85-4ea9-b17a-24502868053e" + 1791333288465, + 14.941077, + 1, + "930b1ccc-9664-46a4-8456-7b28ab247cdb" ], "access_level": "public", "dcat": { @@ -1925,84 +1850,39 @@ ], "contactPoint": { "@type": "vcard:Contact", - "fn": "Earthdata Forum", - "hasEmail": "mailto:earthdata-support@nasa.gov" - }, - "description": "The Compendium of Environmental Sustainability Indicator Collections, Version 1.1 contains 426 indicators for 239 countries from five major environmental sustainability indicator efforts: the 2006 Environmental Performance Index (EPI), 2005 Environmental Sustainability Index (ESI), 2004 Environmental Vulnerability Index (EVI), the Rio to Johannesburg Dashboard, the Wellbeing of Nations, and 2006 National Footprint Accounts. It also incorporates 38 ancillary variables such as region name, dummy variables for landlocked countries and small island states, population, GDP, and land area. 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The dataset includes state-of-health data, suchas temperature and voltage readings, needed for the analysis of the countingdata. The EDR is an intermediate data product derived from the raw datarecords using reversible operations. All higher order data products arederived from the EDR. An automated pipeline is used to process the EDR fromthe raw data records.", + "identifier": "urn:nasa:pds:context_pds3:data_set:data_set.dawn-x-grand-2-edr-cruise-counts-v1.0;urn:nasa:pds:context_pds3:data_set:data_set.dawn-x-grand-2-edr-cruise-counts-v1.0::3.0", + "keyword": [ + "__" ], "license": "https://www.usa.gov/government-works", - "modified": "2026-09-29", + "modified": "2026-09-28", "programCode": [ "026:000" ], "publisher": { "@type": "org:Organization", - "name": "ESDIS" - }, - "spatial": "[\"CARTESIAN\", [{\"NorthBoundingCoordinate\": 90, \"WestBoundingCoordinate\": -180, \"EastBoundingCoordinate\": 180, \"SouthBoundingCoordinate\": -55}]]", - "temporal": "1973-01-01/2005-12-31", - "theme": [ - "Earth Science" - ], - "title": "Compendium of Environmental Sustainability Indicator Collections: Complete Collection, Version 1.1" - }, - "description": "The Compendium of Environmental Sustainability Indicator Collections, Version 1.1 contains 426 indicators for 239 countries from five major environmental sustainability indicator efforts: the 2006 Environmental Performance Index (EPI), 2005 Environmental Sustainability Index (ESI), 2004 Environmental Vulnerability Index (EVI), the Rio to Johannesburg Dashboard, the Wellbeing of Nations, and 2006 National Footprint Accounts. It also incorporates 38 ancillary variables such as region name, dummy variables for landlocked countries and small island states, population, GDP, and land area. 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The dataset includes state-of-health data, suchas temperature and voltage readings, needed for the analysis of the countingdata. The EDR is an intermediate data product derived from the raw datarecords using reversible operations. All higher order data products arederived from the EDR. 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