AndreaBozzo/ceres-open-data-index huggingface dataset:
Data for Deiodinase inhibition impairs the formation of the three posterior swim bladder tissue layers during early embryonic development in zebrafish

The data set includes:
1) Swimbladder inflation at 120 hours post-fertilization (hpf)
2) Swimbladder surface area at 120 hpf
3) Larval body length at 120 hpf
4) Swimming activity at 120 hpf
5) Targeted whole body gene expression results for nine mRNA transcripts evaluated at 60 hpf (hb9; fgf10a; acta2; anxa5b; wnt5b; fzd2; shha; ihha; ptc1)
6) Targeted whole body gene expression results for the same nine mRNA transcripts evaluated at 120 hpf.
7) Whole body thyroid hormone concentrations measured at 48, 60, 96, and 120 hpf
8) Whole body thyroid hormone concentrations in IOP exposed embryos/larvae at 48, 60, and 120 hpf
9) Data for supplementary figures S6, S7A, S7B
10) Ratio T3 of IOP exposed embryos over control T3 levels during embryonic-juvenile development (4 replicates, Figure S9). 

This dataset is associated with the following publication:
Van Dingenen, I., L. Vergauwen, A. Haigis, B. Blackwell, E. Stacy, D. Villeneuve, and D. Knapen. Deiodinase inhibition impairs the formation of the three posterior swim bladder tissue layers during early embryonic development in zebrafish.   AQUATIC TOXICOLOGY. Elsevier Science Ltd, New York, NY, USA, 261: 106632, (2023).

Tags: adverse-outcome-pathways-aops, endocrine-disruption, fish, zebrafish
Organization: U.S. Environmental Protection Agency
Can Preserved Museum Specimens Be Used to Reconstruct Fish Mercury Burden and Sources through Time?

Supporting information for "Ryan F. Lepak, Sarah E. Janssen, Jacob M. Ogorek, Casey B. Dillman, Joel C. Hoffman, Michael T. Tate, and Peter B. McIntyre
Environmental Science & Technology Letters 2023 10 (2), 165-171
DOI: 10.1021/acs.estlett.3c00009". 

This dataset is associated with the following publication:
Lepak, R., S. Janssen, J. Ogorek, C. Dillman, J. Hoffman, M. Tate, and P. McIntyre. Can Preserved Museum Specimens Be Used to Reconstruct Fish Mercury Burden and Sources through Time?.   Environmental Science & Technology Letters. American Chemical Society, Washington, DC, USA, 10(2): 165-171, (2023).

Tags: isotopes, mercury-isotopes, minamata-convention, museums, preserved-fish
Organization: U.S. Environmental Protection Agency
PFAS Biotransformation Pathways: A Species Comparison Study

Data for "Kolanczyk RC, Saley MR, Serrano JA, Daley SM, Tapper MA. PFAS Biotransformation Pathways: A Species Comparison Study. Toxics. 2023 Jan 12;11(1):74. doi: 10.3390/toxics11010074. PMID: 36668800; PMCID: PMC9862377.". 

This dataset is associated with the following publication:
Kolanczyk, R., M. Saley, J. Serrano, S. Daley, and M. Tapper. PFAS Biotransformation Pathways: A Species Comparison Study.   Toxics. MDPI, Basel,  SWITZERLAND, 11(1): 74, (2023).

Tags: biodegradation, biotransformation, comparison, fish, metabolism, metapath, pathway, pfas
Organization: U.S. Environmental Protection Agency
National-Scale Assessment of Total Gaseous Mercury Isotopes Across the United States

Data for "Tate, M. T., Janssen, S. E., Lepak, R. F., Flucke, L., & Krabbenhoft, D. P. (2023). National-scale assessment of total gaseous mercury isotopes across the United States. Journal of Geophysical Research: Atmospheres, 128, e2022JD038276. https://doi.org/10.1029/2022JD038276". 

This dataset is associated with the following publication:
Tate, M., S. Janssen, R. Lepak, L. Fluke, and D. Krabbenhoft. Assessment and Application of an Active Total Gaseous Mercury Collector to Survey Mercury Sources Across the United States.   Environmental Science & Technology Letters. American Chemical Society, Washington, DC, USA, 128(8): N/A, (2023).

Tags: mercury, mercury-isotopes, point-source, united-states
Organization: U.S. Environmental Protection Agency
Towards a framework for invasive aquatic plant survey design in Great Lakes coastal areas

Supplementary files for "Tucker AJ, Annis G, Elgin E, Chadderton WL, Hoffman J. Towards a framework for invasive aquatic plant survey design in Great Lakes coastal areas. Manag Biol Invasion. 2022 Feb 4;13(1):45-67. doi: 10.3391/mbi.2022.13.1.03. PMID: 35664708; PMCID: PMC9157784.". 

This dataset is associated with the following publication:
Tucker, A., G. Annis, E. Elgin, L. Chadderton, and J. Hoffman. Towards a framework for invasive aquatic plant survey design in Great Lakes coastal areas.   Management of Biological Invasions. Regional Euro-Asian Biological Invasions Centre, Helsinki,  FINLAND,  45-67, (2022).

Tags: aquatic-macrophytes, early-detection, monitoring, rarefaction, surveillance
Organization: U.S. Environmental Protection Agency
Indicators for Assessing Community and Contaminated Site Vulnerability to Extreme Events

The indicators (non-EPA owned, yet described in the Handbook and Manuscript) represent: 1) potential exposures due to extreme events (heat, floods, drought, and wildfire), 2) specific sources of contaminant releases (the different types of sites/waste facilities), 3) contaminant fate and transport (through water and wind), and 4) population sensitivity characteristics (demographics, socioeconomic conditions, existing health conditions) that indicate which individuals in the community may be impacted more by extreme events. The geospatial indicator data layers are at the Block Group level (U.S. Census Bureau, 2022), and each Block Group is considered to be a “community”. This dataset is not publicly accessible because: The indicator data are from external co-authors collected solely from coauthor resources. The indicator data were all generated using publicly available data sources, as documented in the External Review Draft of Handbook (research product attached). It can be accessed through the following means: This data can be accessed by contacting the external lead author on the Handbook and Manuscript (Dr. Paramita Sinha, RTI), who can provide all of the indicator data layers and associated metadata documentation. Format: The indicator data are from external co-authors collected solely from co-author resources. The format of the indicator data are geospatial data layers (e.g., Shapefiles, NetCDFs) with daily/hourly temporal resolution and Census Block Group level spatial resolution. There are over 250 individual geospatial data files which would be too large to upload and store. The data are already available from public data sources, as documented in the External Review Draft of Handbook. 

This dataset is associated with the following publications:
Sinha, P., R. Truesdale, M. Fry, and S. Julius. Handbook on Indicators of Community Vulnerability to Extreme Events: Considering Sites and Waste Management Facilities. U.S. Environmental Protection Agency, Washington, DC, USA, 2023.
Sinha, P., S. Julius, M. Fry, R. Truesdale, J. Cajka, M. Eddy , P. Doraiswamya, and D. Womacka. Assessing community vulnerability to extreme events in the presence of contaminated sites and waste management facilities: An indicator approach.   Urban Climate. Elsevier Science, New York, NY,   53(101800): 1-30, (2024).

Tags: climate-change, contaminated-sites, disadvantaged-community, vulnerability
Organization: U.S. Environmental Protection Agency
TIGER/Line Shapefile, 2022, County, Dewey County, SD, Topological Faces-Area Hydrography Relationship File

The TIGER/Line shapefiles and related database files (.dbf) are an extract of selected geographic and cartographic information from the U.S. Census Bureau's Master Address File / Topologically Integrated Geographic Encoding and Referencing (MAF/TIGER) Database (MTDB).  The MTDB represents a seamless national file with no overlaps or gaps between parts, however, each TIGER/Line shapefile is designed to stand alone as an independent data set, or they can be combined to cover the entire nation.
 The Topological Faces / Area Hydrography Relationship File (FACESAH.dbf) contains a record for each face / area hydrography feature relationship.  Face refers to the areal (polygon) topological primitives that make up MTDB.  A face is bounded by one or more edges; its boundary includes only the edges that separate it from other faces, not any interior edges contained within the area of the face.  The face to which a record in the Topological Faces / Area Hydrography Relationship File (FACESAH.dbf) applies can be determined by linking to the Topological Faces Shapefile (FACES.shp) using the permanent topological face identifier (TFID) attribute.  The area hydrography feature to which a record in the Topological Faces / Area Hydrography Relationship File (FACESAH.dbf) applies can be determined by linking to the Area Hydrography Shapefile (AREAWATER.shp) using the area hydrography identifier (HYDROID) attribute.  A face may be part of multiple area water features.  An area water feature may consist of multiple faces.

Tags: 46041, area hydrography identifier, county fips code, county gnis code, county or equivalent entity, dewey, hydrography, land/water flag, permanent face id, state fips code, state gnis code, table, topological faces
Organization: U.S. Census Bureau, Department of Commerce
Launch of the PTSD-Repository

In acknowledgement of National PTSD Awareness Day, the National Center for PTSD has launched its PTSD-Repository.  The PTSD-Repository is a platform hosting data more than 300 RCTs of the treatment of PTSD in adults and resources created by NCPTSD to illustrate the data.

Tags: launch, ptsd-awareness, ptsd-repository, ptsd-treatment, rct
Organization: Department of Veterans Affairs
Veterans Affairs Suicide Prevention Synthetic Dataset

<p><b>NOTE: This dataset is no longer supported and is provided as-is. Any historical knowledge regarding meta data or it's creation is no longer available.  All known information is proved as part of this data set.</b></p>

The Veteran Health Administration, in support of the Open Data Initiative, is providing the Veterans Affairs Suicide Prevention Synthetic Dataset (VASPSD). The VASPSD was developed using a real, record-level dataset provided through the VA Office of Suicide Prevention. The VASPSD contains no real Veteran information, however, it reflects similar characteristics of the real dataset.

<p><b>* NOTICE: This data is intended to appear similar to actual VASPSD data but it does not have any real predictive modeling value. It should not be used in any real world application.</b></p>

Tags: prevention, suicide, synthetic, veterans, vha
Organization: Department of Veterans Affairs
TIGER/Line Shapefile, 2022, County, Wyoming County, WV, All Lines

The TIGER/Line shapefiles and related database files (.dbf) are an extract of selected geographic and cartographic information from the U.S. Census Bureau's Master Address File / Topologically Integrated Geographic Encoding and Referencing (MAF/TIGER) Database (MTDB).  The MTDB represents a seamless national file with no overlaps or gaps between parts, however, each TIGER/Line shapefile is designed to stand alone as an independent data set, or they can be combined to cover the entire nation.
 Edge refers to the linear topological primitives that make up MTDB.  The All Lines Shapefile contains linear features such as roads, railroads, and hydrography.  Additional attribute data associated with the linear features found in the All Lines Shapefile are available in relationship (.dbf) files that users must download separately.  The All Lines Shapefile contains the geometry and attributes of each topological primitive edge.  Each edge has a unique TIGER/Line identifier (TLID) value.

Tags: 54109, address range, county or equivalent entity, feature, hydrography, linear, railways, road feature, roads, street centerline, wyoming
Organization: U.S. Census Bureau, Department of Commerce
TIGER/Line Shapefile, 2022, County, McPherson County, SD, Topological Faces (Polygons With All Geocodes)

The TIGER/Line shapefiles and related database files (.dbf) are an extract of selected geographic and cartographic information from the U.S. Census Bureau's Master Address File / Topologically Integrated Geographic Encoding and Referencing (MAF/TIGER) Database (MTDB). The MTDB represents a seamless national file with no overlaps or gaps between parts, however, each TIGER/Line shapefile is designed to stand alone as an independent data set, or they can be combined to cover the entire nation. 
 Face refers to the areal (polygon) topological primitives that make up MTDB. A face is bounded by one or more edges; its boundary includes only the edges that separate it from other faces, not any interior edges contained within the area of the face. The Topological Faces Shapefile contains the attributes of each topological primitive face. Each face has a unique topological face identifier (TFID) value. Each face in the shapefile includes the key geographic area codes for all geographic areas for which the Census Bureau tabulates data for both the 2020 Census and the annual estimates and surveys. The geometries of each of these geographic areas can then be built by dissolving the face geometries on the appropriate key geographic area codes in the Topological Faces Shapefile.

Tags: 46089, 5 digit zip code tabulation area code, alaska native regional corporation fips code, american indian/alaska native/native hawaiian areas census code, block group, census tract number, congressional district code, consolidated city fips code, county fips code, county or equivalent entity, county subdivision fips code, elementary school district local education agency code, fips place code for all places, legislative session year, mcpherson, metropolitan statistical area/consolidated metropolitan statistical area fips code, new england county metropolitan area fips code, number, primary metropolitan statistical area fips code, public use microdata area codeland/water flag, rreservation or off-reservation trust land indicator, secondary school district local education agency code, state fips code, state legislative district lower chamber code, state legislative district upper chamber code, subminor civil division fips code in puerto rico, table, tabulation block number, topological faces, tribal subdivision code, unified school district local education agency code, urban area code, urban growth area code
Organization: U.S. Census Bureau, Department of Commerce
TIGER/Line Shapefile, 2022, County, Washington County, RI, Feature Names Relationship File

The TIGER/Line shapefiles and related database files (.dbf) are an extract of selected geographic and cartographic information from the U.S. Census Bureau's Master Address File / Topologically Integrated Geographic Encoding and Referencing (MAF/TIGER) Database (MTDB).  The MTDB represents a seamless national file with no overlaps or gaps between parts, however, each TIGER/Line shapefile is designed to stand alone as an independent data set, or they can be combined to cover the entire nation.
 The Feature Names Relationship File (FEATNAMES.dbf) contains a record for each feature name and any attributes associated with it.  Each feature name can be linked to the corresponding edges that make up that feature in the All Lines Shapefile (EDGES.shp), where applicable to the corresponding address range or ranges in the Address Ranges Relationship File (ADDR.dbf), or to both files. Although this file includes feature names for all linear features, not just road features, the primary purpose of this relationship file is to identify all street names associated with each address range.  An edge can have several feature names; an address range located on an edge can be associated with one or any combination of the available feature names (an address range can be linked to multiple feature names).  The address range is identified by the address range identifier (ARID) attribute, which can be used to link to the Address Ranges Relationship File (ADDR.dbf).  The linear feature is identified by the linear feature identifier (LINEARID) attribute, which can be used to relate the address range back to the name attributes of the feature in the Feature Names Relationship File or to the feature record in the Primary Roads, Primary and Secondary Roads, or All Roads Shapefiles. The edge to which a feature name applies can be determined by linking the feature name record to the All Lines Shapefile (EDGES.shp) using the permanent edge identifier (TLID) attribute.  The address range identifier(s) (ARID) for a specific linear feature can be found by using the linear feature identifier (LINEARID) from the Feature Names Relationship File (FEATNAMES.dbf) through the Address Range / Feature Name Relationship File (ADDRFN.dbf).

Tags: 44009, county fips code, county gnis code, county or equivalent entity, feature names, maftiger feature class code, name, permanent edge id, prefix direction code, prefix qualifier code, prefix type code description, primaryalternate code, state fips code, state gnis code, suffix direction code, suffix qualifier code, suffix type code, table, washington
Organization: U.S. Census Bureau, Department of Commerce
TIGER/Line Shapefile, 2022, County, Jefferson County, OR, Address Range-Feature

The TIGER/Line shapefiles and related database files (.dbf) are an extract of selected geographic and cartographic information from the U.S. Census Bureau's Master Address File / Topologically Integrated Geographic Encoding and Referencing (MAF/TIGER) Database (MTDB). The MTDB represents a seamless national file with no overlaps or gaps between parts, however, each TIGER/Line shapefile is designed to stand alone as an independent data set, or they can be combined to cover the entire nation.
The Address Ranges Feature Shapefile (ADDRFEAT.dbf) contains the geospatial edge geometry and attributes of all unsuppressed address ranges for a county or county equivalent area. The term "address range" refers to the collection of all possible structure numbers from the first structure number to the last structure number and all numbers of a specified parity in between along an edge side relative to the direction in which the edge is coded. Single-address address ranges have been suppressed to maintain the confidentiality of the addresses they describe.  Multiple coincident address range feature edge records are represented in the shapefile if more than one left or right address ranges are associated to the edge. The ADDRFEAT shapefile contains a record for each address range to street name combination. Address range associated to more than one street name are also represented by multiple coincident address range feature edge records. Note that the ADDRFEAT shapefile includes all unsuppressed address ranges compared to the All Lines Shapefile (EDGES.shp) which only includes the most inclusive address range associated with each side of a street edge.  The TIGER/Line shapefile contain potential address ranges, not individual addresses.  The address ranges in the TIGER/Line Files are potential ranges that include the full range of possible structure numbers even though the actual structures may not exist.

Tags: 41031, 5-digit zip code, county fips code, county gnis code, county or equivalent entity, from house number, jefferson, permanent edge id, side indicator flag, state fips code, state gnis code, to house number, zip +4 code
Organization: U.S. Census Bureau, Department of Commerce
TIGER/Line Shapefile, 2022, County, Deschutes County, OR, All Lines

The TIGER/Line shapefiles and related database files (.dbf) are an extract of selected geographic and cartographic information from the U.S. Census Bureau's Master Address File / Topologically Integrated Geographic Encoding and Referencing (MAF/TIGER) Database (MTDB).  The MTDB represents a seamless national file with no overlaps or gaps between parts, however, each TIGER/Line shapefile is designed to stand alone as an independent data set, or they can be combined to cover the entire nation.
 Edge refers to the linear topological primitives that make up MTDB.  The All Lines Shapefile contains linear features such as roads, railroads, and hydrography.  Additional attribute data associated with the linear features found in the All Lines Shapefile are available in relationship (.dbf) files that users must download separately.  The All Lines Shapefile contains the geometry and attributes of each topological primitive edge.  Each edge has a unique TIGER/Line identifier (TLID) value.

Tags: 41017, address range, county or equivalent entity, deschutes, feature, hydrography, linear, railways, road feature, roads, street centerline
Organization: U.S. Census Bureau, Department of Commerce
TIGER/Line Shapefile, 2022, County, St. Clair County, IL, Address Range-Feature Name Relationship File

The TIGER/Line shapefiles and related database files (.dbf) are an extract of selected geographic and cartographic information from the U.S. Census Bureau's Master Address File / Topologically Integrated Geographic Encoding and Referencing (MAF/TIGER) Database (MTDB). The MTDB represents a seamless national filewith no overlaps or gaps between parts, however, each TIGER/Line shapefile is designed to stand alone as an independentdata set, or they can be combined to cover the entire nation.
 The Address Range / Feature Name Relationship File (ADDRFN.dbf) contains a record for each address range / linear feature name relationship.  The purpose of this relationship file is to identify all street names associated with each address range.  An edge can have several feature names; an address range located on an edge can be associated with one or any combination of the available feature names (an address range can be linked to multiple feature names).  The address range is identified by the address range identifier (ARID) attribute that can be used to link to the Address Ranges Relationship File (ADDR.dbf).  The linear feature name is identified by the linear feature identifier (LINEARID) attribute that can be used to link to the Feature Names Relationship File (FEATNAMES.dbf).

Tags: 17163, 5-digit zip code, county fips code, county gnis code, county or equivalent entity, from house number, permanent edge id, side indicator flag, st. clair, state fips code, state gnis code, to house number, zip +4 code
Organization: U.S. Census Bureau, Department of Commerce
TIGER/Line Shapefile, 2022, County, Elmore County, ID, All Roads

The TIGER/Line shapefiles and related database files (.dbf) are an extract of selected geographic and cartographic information from the U.S. Census Bureau's Master Address File / Topologically Integrated Geographic Encoding and Referencing (MAF/TIGER) Database (MTDB).  The MTDB represents a seamless national file with no overlaps or gaps between parts, however, each TIGER/Line shapefile is designed to stand alone as an independent data set, or they can be combined to cover the entire nation.
 The All Roads Shapefile includes all features within the MTDB Super Class "Road/Path Features" distinguished where the MAF/TIGER Feature Classification Code (MTFCC) for the feature in MTDB that begins with "S".  This includes all primary, secondary, local neighborhood, and rural roads, city streets, vehicular trails (4wd), ramps, service drives, alleys, parking lot roads, private roads for service vehicles (logging, oil fields, ranches, etc.), bike paths or trails, bridle/horse paths, walkways/pedestrian trails, and stairways.

Tags: 16039, address range, county or equivalent entity, elmore, linear feature, road feature, roads, street centerline
Organization: U.S. Census Bureau, Department of Commerce