cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.34894/2khzlo
title: Cleaned Civil Registry, Netherlands

description: This data set contains UNLINKED civil registry data. The cleaned civil registry data is based on indexes by the city, regional, and provincial archives in the Netherlands. Access to these indexed datasets can be acquired through the Central Bureau of Genealogy (CBG) or Open Archives (openarch.nl). HSNDB only provides access to our cleaned registry to researchers who wish to match civil registry data.
 &lt;br&gt;
 &lt;br&gt;
Credit for data entry goes out to unsung heroes from: &lt;br&gt;
- Alle Friezen &lt;br&gt;
- Drents Archief &lt;br&gt;
- Erfgoed Leiden en Omstreken &lt;br&gt;
- Gelders Archief &lt;br&gt;
- Gemeentearchief Alphen aan den Rijn &lt;br&gt;
- Gemeentearchief Gemert-Bakel &lt;br&gt;
- Gemeentearchief Oegstgeest &lt;br&gt;
- Gemeentearchief Wassenaar &lt;br&gt;
- Groninger Archieven &lt;br&gt;
- Haags Gemeentearchief &lt;br&gt;
- Het Flevolands Archief &lt;br&gt;
- Het Utrechts Archief &lt;br&gt;
- Historisch Archief Westland &lt;br&gt;
- Historisch Centrum Overijssel &lt;br&gt;
- Noord-Hollands Archief &lt;br&gt;
- Regionaal Archief Alkmaar &lt;br&gt;
- Regionaal Archief Dordrecht &lt;br&gt;
- Regionaal Archief Gorinchem &lt;br&gt;
- Regionaal Archief Tilburg &lt;br&gt;
- Regionaal Historisch Centrum Eindhoven &lt;br&gt;
- Regionaal Historisch Centrum Limburg &lt;br&gt;
- Regionaal Historisch Centrum Rijnstreek en Lopikerwaard &lt;br&gt;
- Rijckheyt Centrum voor Regionale Geschiedenis &lt;br&gt;
- Rijksarchief Zuid-Holland &lt;br&gt;
- Stadsarchief Breda &lt;br&gt;
- Stadsarchief Delft &lt;br&gt;
- Stadsarchief Rotterdam &lt;br&gt;
- Stadsarchief Vlaardingen &lt;br&gt;
- Stadsarchief Zoetermeer &lt;br&gt;
- Streekarchief Goeree-Overflakkee &lt;br&gt;
- Streekarchief Heusden Altena &lt;br&gt;
- Streekarchief Midden-Holland &lt;br&gt;
- Streekarchief Voorne-Putten &lt;br&gt;
- West-Brabant Archief &lt;br&gt;
- Zeeuws Archief
DOI: 10.5281/zenodo.17782173
title: Data Modeling Safety Performance in the Mining Sector: Effects of Safety Culture Mediated by Safety Communication
DOI: 10.5281/zenodo.17782174
title: Data Modeling Safety Performance in the Mining Sector: Effects of Safety Culture Mediated by Safety Communication
DOI: 10.15468/dl.zyy865
title: Occurrence Download

description: A dataset containing 4117419 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Tracheophyta",
 "DecimalLatitude is greater than or equal to 49.085278",
 "DecimalLatitude is less than or equal to 54.085278",
 "DecimalLongitude is greater than or equal to 15.0",
 "DecimalLongitude is less than or equal to 20.0",
 "HasCoordinate is TRUE",
 "HasGeospatialIssue is FALSE"
 ]
}

 The dataset includes 4117419 records from 239 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021166-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mujcwy
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Mammalia",
 "HasCoordinate is true",
 "Geometry POLYGON ((-115.4073 35.40486, -115.4069 35.40462, -115.4066 35.4044, -115.4062 35.40419, -115.4058 35.404, -115.4054 35.40383, -115.4049 35.40367, -115.4045 35.40353, -115.4041 35.40341, -115.4036 35.40331, -115.4032 35.40323, -115.4027 35.40317, -115.4022 35.40313, -115.4018 35.4031, -115.4013 35.4031, -115.4009 35.40311, -115.4004 35.40315, -115.3999 35.4032, -115.3995 35.40327, -115.399 35.40337, -115.3986 35.40348, -115.3981 35.40361, -115.3977 35.40375, -115.3973 35.40392, -115.3969 35.4041, -115.3965 35.4043, -115.3961 35.40452, -115.3958 35.40475, -115.3954 35.40499, -115.3951 35.40526, -115.3948 35.40553, -115.3945 35.40582, -115.3926 35.40772, -115.3923 35.40803, -115.392 35.40835, -115.3918 35.40867, -115.3915 35.40901, -115.3913 35.40936, -115.3912 35.40972, -115.391 35.41008, -115.3909 35.41045, -115.3908 35.41082, -115.3907 35.4112, -115.3906 35.41158, -115.3906 35.41197, -115.3906 35.41235, -115.3906 35.41274, -115.3906 35.41312, -115.3907 35.4135, -115.3908 35.41388, -115.3909 35.41425, -115.391 35.41462, -115.3912 35.41498, -115.3914 35.41534, -115.3916 35.41568, -115.3918 35.41602, -115.392 35.41635, -115.3923 35.41666, -115.3926 35.41697, -115.3929 35.41726, -115.3932 35.41753, -115.3936 35.4178, -115.3939 35.41804, -115.3943 35.41828, -115.3947 35.41849, -115.3951 35.41869, -115.3955 35.41887, -115.396 35.41903, -115.3964 35.41918, -115.3968 35.4193, -115.3973 35.41941, -115.3986 35.41968, -115.399 35.41976, -115.3995 35.41983, -115.3999 35.41987, -115.4004 35.4199, -115.4008 35.41991, -115.4013 35.4199, -115.4017 35.41987, -115.4022 35.41982, -115.4026 35.41976, -115.4031 35.41967, -115.4035 35.41957, -115.404 35.41945, -115.4064 35.4187, -115.4069 35.41855, -115.4073 35.41839, -115.4077 35.41822, -115.4081 35.41802, -115.4085 35.41781, -115.4088 35.41758, -115.4092 35.41734, -115.4095 35.41708, -115.4099 35.41681, -115.4102 35.41652, -115.4105 35.41622, -115.4107 35.41592, -115.411 35.41559, -115.4112 35.41526, -115.4114 35.41492, -115.4116 35.41457, -115.4118 35.41422, -115.4119 35.41386, -115.412 35.41349, -115.4121 35.41312, -115.4122 35.41274, -115.4122 35.41236, -115.4123 35.41198, -115.4123 35.4116, -115.4122 35.41123, -115.4122 35.41085, -115.4121 35.41047, -115.412 35.4101, -115.4119 35.40974, -115.4117 35.40937, -115.4116 35.40902, -115.4114 35.40867, -115.4112 35.40834, -115.4109 35.40801, -115.4107 35.40769, -115.4104 35.40738, -115.4101 35.40709, -115.4098 35.4068, -115.4095 35.40654, -115.4076 35.40511, -115.4073 35.40486))",
 "Year is greater than or equal to 2001",
 "Year is less than or equal to 2025"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021197-251120083545085/datasets/export for details.
DOI: 10.5281/zenodo.17781872
title: Datasets used in the paper: Statistical Distribution and Entropy of Multi-Scale Returns: A Coarse-Grained Analysis and Evidence for a New Stylized Fact. (MDPI)

description:  Datasets used in the paper: Statistical Distribution and Entropy of Multi-Scale Returns: A Coarse-Grained Analysis and Evidence for a New Stylized Fact.  

**All files consist of a *single column* of numerical values.**  Depending on the file, that column represents either daily closing prices, usual daily log-returns, or multi-scale returns (TReturns) for the period January 2, 1990 to October 17, 2025.
DOI: 10.5281/zenodo.17781871
title: Datasets used in the paper: Statistical Distribution and Entropy of Multi-Scale Returns: A Coarse-Grained Analysis and Evidence for a New Stylized Fact. (MDPI)

description:  Datasets used in the paper: Statistical Distribution and Entropy of Multi-Scale Returns: A Coarse-Grained Analysis and Evidence for a New Stylized Fact.  

**All files consist of a *single column* of numerical values.**  Depending on the file, that column represents either daily closing prices, usual daily log-returns, or multi-scale returns (TReturns) for the period January 2, 1990 to October 17, 2025.
DOI: 10.15468/dl.vg2x8c
title: Occurrence Download

description: A dataset containing 1945 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Registros biológicos de predios promocionados como Reservas Naturales de la Sociedad Civil-RNSC en el Cañón de Amaime, municipio El Cerrito, Valle del Cauca, Colombia."
 ]
}

 The dataset includes 1945 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021198-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zvsj8y
title: Occurrence Download

description: A dataset containing 2633 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Occurrence evidence, Specimen)",
 "TaxonKey is Phaethornis mexicanus"
 ]
}

 The dataset includes 2633 records from 22 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021199-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mxpfxz
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Mammalia",
 "HasCoordinate is true",
 "Geometry POLYGON ((-115.3916 35.40487, -115.3912 35.40489, -115.3907 35.40492, -115.3902 35.40498, -115.3897 35.40506, -115.3893 35.40515, -115.3888 35.40527, -115.3884 35.40541, -115.3879 35.40556, -115.3875 35.40574, -115.3871 35.40593, -115.3867 35.40614, -115.3863 35.40637, -115.3859 35.40662, -115.3856 35.40687, -115.3853 35.40715, -115.3849 35.40744, -115.3846 35.40774, -115.3844 35.40806, -115.3841 35.40838, -115.3839 35.40872, -115.3836 35.40907, -115.3835 35.40942, -115.3833 35.40979, -115.3831 35.41016, -115.383 35.41053, -115.3829 35.41091, -115.3829 35.4113, -115.3828 35.41168, -115.3828 35.41207, -115.3827 35.41466, -115.3827 35.41504, -115.3828 35.41543, -115.3828 35.41582, -115.3829 35.4162, -115.383 35.41658, -115.3831 35.41696, -115.3833 35.41732, -115.3835 35.41769, -115.3837 35.41804, -115.3839 35.41838, -115.3841 35.41871, -115.3844 35.41904, -115.3847 35.41935, -115.385 35.41964, -115.3853 35.41993, -115.3857 35.4202, -115.386 35.42045, -115.3864 35.42069, -115.3868 35.42091, -115.3872 35.42111, -115.3876 35.4213, -115.3881 35.42146, -115.3885 35.42161, -115.389 35.42174, -115.3894 35.42185, -115.3899 35.42194, -115.3904 35.42201, -115.3908 35.42206, -115.3913 35.42209, -115.3918 35.42209, -115.3959 35.42207, -115.3963 35.42205, -115.3968 35.42202, -115.3973 35.42197, -115.3977 35.42189, -115.3982 35.4218, -115.3986 35.42169, -115.3991 35.42156, -115.3995 35.42141, -115.3999 35.42124, -115.4004 35.42105, -115.4008 35.42085, -115.4011 35.42063, -115.4015 35.42039, -115.4019 35.42014, -115.4022 35.41987, -115.4025 35.41959, -115.4028 35.41929, -115.4031 35.41899, -115.4034 35.41867, -115.4036 35.41834, -115.4038 35.418, -115.404 35.41765, -115.4042 35.41729, -115.4044 35.41693, -115.4045 35.41656, -115.4046 35.41618, -115.4047 35.4158, -115.4047 35.41542, -115.4048 35.41504, -115.4048 35.41465, -115.4047 35.41222, -115.4047 35.41184, -115.4047 35.41145, -115.4046 35.41107, -115.4045 35.4107, -115.4044 35.41033, -115.4043 35.40996, -115.4041 35.4096, -115.4039 35.40925, -115.4037 35.4089, -115.4035 35.40857, -115.4032 35.40824, -115.4029 35.40793, -115.4027 35.40763, -115.4023 35.40734, -115.402 35.40707, -115.4017 35.40681, -115.4013 35.40656, -115.4009 35.40633, -115.4005 35.40612, -115.4001 35.40592, -115.3997 35.40574, -115.3993 35.40558, -115.3988 35.40544, -115.3984 35.40532, -115.3979 35.40521, -115.3975 35.40513, -115.397 35.40507, -115.3966 35.40502, -115.3961 35.405, -115.3921 35.40487, -115.3916 35.40487))",
 "Year is greater than or equal to 2001",
 "Year is less than or equal to 2025"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021200-251120083545085/datasets/export for details.
DOI: 10.15468/dl.e87cfa
title: Occurrence Download

description: A dataset listing the 26 species recorded in GBIF matching the query:
{
 "and" : [
 "GadmGid is USA.29.13_1",
 "OccurrenceStatus is Present",
 "TaxonKey is Carnivora"
 ]
}

 The dataset's 26 records were derived from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021188-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rc3y9s
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Mammalia",
 "HasCoordinate is true",
 "Geometry POLYGON ((-115.661 35.05239, -115.6605 35.05245, -115.66 35.05254, -115.6596 35.05264, -115.6591 35.05276, -115.6587 35.05289, -115.6583 35.05305, -115.6578 35.05323, -115.6574 35.05342, -115.657 35.05363, -115.6567 35.05386, -115.6563 35.0541, -115.6559 35.05436, -115.6556 35.05464, -115.6553 35.05492, -115.655 35.05523, -115.6547 35.05554, -115.6545 35.05586, -115.6542 35.0562, -115.654 35.05654, -115.6538 35.0569, -115.6537 35.05726, -115.6535 35.05762, -115.6534 35.058, -115.6533 35.05838, -115.6532 35.05876, -115.6532 35.05914, -115.6532 35.05953, -115.6532 35.05991, -115.6533 35.06258, -115.6533 35.06296, -115.6533 35.06334, -115.6534 35.06371, -115.6535 35.06408, -115.6536 35.06445, -115.6538 35.06481, -115.6539 35.06516, -115.6541 35.06551, -115.6543 35.06585, -115.6546 35.06617, -115.6548 35.06649, -115.6551 35.0668, -115.6554 35.0671, -115.6557 35.06738, -115.656 35.06765, -115.6564 35.0679, -115.6567 35.06815, -115.6571 35.06837, -115.6575 35.06858, -115.6579 35.06877, -115.6583 35.06895, -115.6587 35.06911, -115.6591 35.06925, -115.6596 35.06937, -115.66 35.06947, -115.6605 35.06956, -115.6609 35.06963, -115.6614 35.06967, -115.6618 35.0697, -115.6623 35.06971, -115.6661 35.06969, -115.6665 35.06968, -115.667 35.06964, -115.6675 35.06959, -115.6679 35.06952, -115.6684 35.06943, -115.6688 35.06932, -115.6692 35.0692, -115.6697 35.06905, -115.6701 35.06889, -115.6705 35.0687, -115.6709 35.0685, -115.6713 35.06829, -115.6717 35.06806, -115.672 35.06781, -115.6723 35.06755, -115.6727 35.06728, -115.673 35.06699, -115.6733 35.06669, -115.6735 35.06637, -115.6738 35.06605, -115.674 35.06572, -115.6742 35.06537, -115.6744 35.06502, -115.6745 35.06467, -115.6747 35.0643, -115.6748 35.06393, -115.6749 35.06356, -115.6749 35.06318, -115.675 35.0628, -115.675 35.06242, -115.675 35.06204, -115.675 35.06166, -115.6749 35.06129, -115.6744 35.05841, -115.6743 35.05804, -115.6742 35.05767, -115.6741 35.0573, -115.6739 35.05694, -115.6738 35.05658, -115.6736 35.05623, -115.6734 35.05589, -115.6731 35.05557, -115.6729 35.05525, -115.6726 35.05494, -115.6723 35.05464, -115.672 35.05436, -115.6716 35.05409, -115.6713 35.05384, -115.6709 35.0536, -115.6706 35.05338, -115.6702 35.05317, -115.6698 35.05298, -115.6693 35.05281, -115.6689 35.05266, -115.6685 35.05252, -115.668 35.05241, -115.6676 35.05231, -115.6671 35.05223, -115.6667 35.05217, -115.6662 35.05213, -115.6657 35.05211, -115.6653 35.05211, -115.6648 35.05213, -115.6614 35.05235, -115.661 35.05239))",
 "Year is greater than or equal to 2001",
 "Year is less than or equal to 2025"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021202-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17781280
title: ERA5 and MADIS (ground stations) curated weather data for CONUS (2020-2023)

description: ERA5 and MADIS (ground stations) curated weather data for CONUS (2020-2023)

This repo contains curated gridded (ERA5) and station (MADIS) weather data for CONUS for the years 2020-2023.

The following data is available:- Shapefile of CONUS.- Shapefile containing the location and number of observations (2020-2023) of the MADIS stations- Processed hourly averaged [MADIS](https://madis.ncep.noaa.gov/) data for CONUS (2020-2023)- [ERA5](https://confluence.ecmwf.int/display/CKB/ERA5%3A+data+documentation) re-analysis data for CONUS (2020-2023), gridded

For MADIS and ERA5, the following variables are available:- u and v component of wind vector at 10 meters above ground- temperature at 2 meters above ground- dewpoint at 2 meters above ground
DOI: 10.5281/zenodo.17705178
title: Replication Data for: DOC - BEA Data by Place: County, Metro and other Local Areas

description: Data are from the Department of Commerce - Bureau of Economic Analysis (DOC - BEA).  The BEA website lists the following items available (quoted from the landing page (https://www.bea.gov/data/by-place-county-metro-local; accessed 11/24/2025):

 





GDP by County, Metro, and Other Areas (with Industry Detail) GDP for local areas, with industries’ contributions to each economy




GDP by Metro Area with Industry Detail Note: GDP by Metro Area is now part of GDP by County, Metro, and Other Areas




GDP by County Note: GDP by County is now part of GDP by County, Metro, and Other Areas




Personal Income by County, Metro, and Other Areas Wages, proprietors' income, dividends, interest, rents, and other income received by local residents




Real Personal Income by Metro Area Personal income adjusted for state and metro area price level differences and national inflation




Regional Price Parities by State and Metro Area Measure price levels that can be compared across states or metro areas




Employment by County, Metro, and Other Areas Measures the number of jobs in U.S. counties and metro and nonmetro areas, with industry detail




Economic Information for Coastal Areas Highlights coastal states and counties' personal incomes and earnings, and state GDP



There are multiple geographic levels available, plus multiple metrics for each category as well.  These data are for the Local listings (i.e., Counties, Metro Areas and other regional groupings).  BEA publishes data at a State and National scale as well.  For all three geographic levels (Local, State, National), there are 519 table types available, listed in the file BEA_All_Tables_Comprehensive.csv.  However, for each table, there are often multiple time periods (Annual, Quarterly) as well. The full listing of all tables contained in the entire 3 datasets is in BEA_Inventory_Report.xslx.  The latter can also be examined for files only occurring in County, Metro and other Local Areas where the “Directory” column is “BEA_CountyMetroLocal”.

Most of the data for this Localized geography are in the zip files.  Each of the categories of download have been zipped together, as well as the Python code for downloading.

Code for downloads and indexing and cataloging is available in both the BEA_Python_Scripts.zip and the GitHub repository at https://github.com/Public-Environmental-Data-Partners/scripts/tree/main/oneTimeHacks/BEA
DOI: 10.5281/zenodo.17782259
title: Replication Data for: DOC - BEA Data by Place: County, Metro and other Local Areas

description: Data are from the Department of Commerce - Bureau of Economic Analysis (DOC - BEA).  The BEA website lists the following items available (quoted from the landing page (https://www.bea.gov/data/by-place-county-metro-local; accessed 11/24/2025):

 





GDP by County, Metro, and Other Areas (with Industry Detail) GDP for local areas, with industries’ contributions to each economy




GDP by Metro Area with Industry Detail Note: GDP by Metro Area is now part of GDP by County, Metro, and Other Areas




GDP by County Note: GDP by County is now part of GDP by County, Metro, and Other Areas




Personal Income by County, Metro, and Other Areas Wages, proprietors' income, dividends, interest, rents, and other income received by local residents




Real Personal Income by Metro Area Personal income adjusted for state and metro area price level differences and national inflation




Regional Price Parities by State and Metro Area Measure price levels that can be compared across states or metro areas




Employment by County, Metro, and Other Areas Measures the number of jobs in U.S. counties and metro and nonmetro areas, with industry detail




Economic Information for Coastal Areas Highlights coastal states and counties' personal incomes and earnings, and state GDP



There are multiple geographic levels available, plus multiple metrics for each category as well.  These data are for the Local listings (i.e., Counties, Metro Areas and other regional groupings).  BEA publishes data at a State and National scale as well.  For all three geographic levels (Local, State, National), there are 519 table types available, listed in the file BEA_All_Tables_Comprehensive.csv.  However, for each table, there are often multiple time periods (Annual, Quarterly) as well. The full listing of all tables contained in the entire 3 datasets is in BEA_Inventory_Report.xslx.  The latter can also be examined for files only occurring in County, Metro and other Local Areas where the “Directory” column is “BEA_CountyMetroLocal”.

Most of the data for this Localized geography are in the zip files.  Each of the categories of download have been zipped together, as well as the Python code for downloading.

Code for downloads and indexing and cataloging is available in both the BEA_Python_Scripts.zip and the GitHub repository at https://github.com/Public-Environmental-Data-Partners/scripts/tree/main/oneTimeHacks/BEA
DOI: 10.15468/dl.smqp6j
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Mammalia",
 "HasCoordinate is true",
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 "Year is greater than or equal to 2001",
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 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021203-251120083545085/datasets/export for details.