cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.bpyzap
title: Occurrence Download

description: A dataset containing 372552 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Spizaetus tyrannus (Wied-Neuwied, 1820), Chlorochrysa nitidissima P.L.Sclater, 1874, Tyrannus melancholicus Vieillot, 1819, Cercomacroides parkeri (G.R.Graves, 1997), Ardea cocoi Linnaeus, 1766, Crypturellus duidae J.T.Zimmer, 1938, Ramphastos ambiguus Swainson, 1823, Ensifera ensifera (Boissonneau, 1840), Sturnella magna (Linnaeus, 1758), Hydropsalis maculicaudus (Lawrence, 1862))",
 "HasCoordinate is true",
 "Year is greater than or equal to 1980",
 "Year is less than or equal to 2010",
 "BasisOfRecord is one of (Human Observation, Machine Observation)",
 "Continent is one of (North America, South America)",
 {
 "not" : {
 "Issue" : [
 "is one of (Zero coordinate, Country coordinate mismatch, Coordinate invalid, Coordinate out of range, Geodetic datum invalid, Coordinate reprojection suspicious, Coordinate reprojection failed, Coordinate precision invalid, Presumed negated longitude, Presumed negated latitude, Presumed swapped coordinate, Taxon match higher rank, Taxon match none, The scientific name differs on the record from that found in the checklist, The backbone match found using the taxon IDs differs from what would be found if using the scientific names, The scientific name ID was not found in the checklist, The taxon concept ID was not found in the checklist, The taxon ID was not found in the checklist, Recorded date invalid, Recorded date mismatch, Recorded date unlikely, Basis of record invalid, Occurrence status unparsable)"
 ]
 }
 }
 ]
}

 The dataset includes 372552 records from 79 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016590-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vyz6zg
title: Occurrence Download

description: A dataset containing 333272 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Observation, Machine Observation, Human Observation)",
 "TaxonKey is Cervus elaphus Linnaeus, 1758",
 "Year 1800-2025"
 ]
}

 The dataset includes 333272 records from 1087 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016602-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dd.rb4fnp
title: Distribution records of Protomyctophum andriashevi

description: These records of Protomyctophum andriashevi were downloaded from GBIF on 2019-09-11.
DOI: 10.15468/dl.qapysk
title: Occurrence Download

description: A dataset containing 2116710 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is COL.8_2",
 "OccurrenceStatus is Present",
 "TaxonKey is Aves"
 ]
}

 The dataset includes 2116710 records from 50 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016575-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.d35ywq
title: Occurrence Download

description: A dataset containing 370171 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Spizaetus tyrannus (Wied-Neuwied, 1820), Chlorochrysa nitidissima P.L.Sclater, 1874, Tyrannus melancholicus Vieillot, 1819, Cercomacroides parkeri (G.R.Graves, 1997), Ardea cocoi Linnaeus, 1766, Crypturellus duidae J.T.Zimmer, 1938, Ramphastos ambiguus Swainson, 1823, Ensifera ensifera (Boissonneau, 1840), Sturnella magna (Linnaeus, 1758), Hydropsalis maculicaudus (Lawrence, 1862))",
 "HasCoordinate is true",
 "Year is greater than or equal to 1981",
 "Year is less than or equal to 2010",
 "BasisOfRecord is one of (Human Observation, Machine Observation)",
 "Continent is one of (North America, South America)",
 {
 "not" : {
 "Issue" : [
 "is one of (Zero coordinate, Country coordinate mismatch, Coordinate invalid, Coordinate out of range, Geodetic datum invalid, Coordinate reprojection suspicious, Coordinate reprojection failed, Coordinate precision invalid, Presumed negated longitude, Presumed negated latitude, Presumed swapped coordinate, Taxon match higher rank, Taxon match none, The scientific name differs on the record from that found in the checklist, The backbone match found using the taxon IDs differs from what would be found if using the scientific names, The scientific name ID was not found in the checklist, The taxon concept ID was not found in the checklist, The taxon ID was not found in the checklist, Recorded date invalid, Recorded date mismatch, Recorded date unlikely, Basis of record invalid, Occurrence status unparsable)"
 ]
 }
 }
 ]
}

 The dataset includes 370171 records from 79 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016593-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dd.xwrakv
title: Distribution records of Lampanyctus macdonaldi

description: These records of Lampanyctus macdonaldi were downloaded from GBIF on 2019-09-11.
DOI: 10.15468/dl.r84fd5
title: Occurrence Download

description: A dataset containing 4084 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Observation, Machine Observation, Occurrence evidence)",
 "Country is United States of America",
 "Geometry POLYGON((-80 40,-70 40,-70 45,-80 45,-80 40))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Cistothorus platensis (Latham, 1790)"
 ]
}

 The dataset includes 4084 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016612-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15346612
title: Data for "Local Off-Grid Weather Forecasting with Multi-Modal Earth Observation Data"

description: This repository contains the data for the paper "Local Off-Grid Weather Forecasting with Multi-Modal Earth Observation Data".

The paper presents a novel multi-modal deep learning method that downscales gridded weather forecasts, such as ERA5 and HRRR, to provide accurate off-grid predictions. The model leverages both gridded data and local weather station observations from MADIS to make predictions that reflect both large-scale atmospheric dynamics and local weather patterns.

The model is evaluated on a surface wind prediction task and shows significant improvement over baseline methods, including ERA5 interpolation, HRRR re-analysis and HRRR forecast and a multi-layer perceptron.

Use the following citation when these data or model are used:> Yang, Q.; Giezendanner, J.; Civitarese, D. S.; Jakubik, J.; ,Schmitt E.; Chandra, A.; Vila, J.; Hohl, D.; Hill, C.; Watson, C.; Wang, S.; Local Off-Grid Weather Forecasting with Multi-Modal Earth Observation Data. arXiv, October 2024. https://doi.org/10.48550/arXiv.2410.12938

The following data is available:- Shapefile of the Northeastern United States (NE-US, extracted from NWS)- Shapefile containing the location and number of observations (2019-2023) of the MADIS stations in NE-US- Processed hourly averaged MADIS data for the NE-US (2019-2023)- ERA5 data for the NE-US (2019-2023), gridded and interpolated

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: 10.15468/dl.xjcfm9
title: Occurrence Download

description: A dataset containing 3156 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "Geometry POLYGON((-118.52949 21.48537,-90.39245 21.48537,-90.39245 32.73537,-118.52949 32.73537,-118.52949 21.48537))",
 "Geometry POLYGON((-115.23638 31.85782,-115.00326 30.01408,-114.0496 29.33593,-113.32906 27.93723,-111.90917 26.32661,-111.14625 24.37691,-107.58593 21.21925,-104.49184 21.21925,-108.58197 25.56368,-112.9476 31.49755,-115.23638 31.85782))"
 ]
 },
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Sargassaceae"
 ]
}

 The dataset includes 3156 records from 60 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016613-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dd.yccxwj
title: Distribution records of Electrona carlsbergi

description: These records of Electrona carlsbergi were downloaded from GBIF on 2019-09-11.
DOI: 10.7910/dvn/vmxtrc
title: Replication Data for: "Complementarity in Alliances: How strategic compatibility and hierarchy promote efficient cooperation in international security"

description: How can defense alliances reap the efficiency gains of working together when coordination and opportunism costs are high? Although specializing as part of a collective comes with economic and functional benefits, states must bargain over the distribution of those gains and ensure the costs of collective action are minimized. I argue that states can overcome these problems by forming alliances with high strategic compatibility and hierarchy. This approach minimizes opportunism and coordination costs by efficiently distributing defense capabilities, encouraging complementarity rather than redundancy. I demonstrate this by developing a novel network-level measure of division of labor and applying it to data on national military capabilities from 1970 to 2014. This research not only enhances understanding of the modern international system but also underscores the importance of these considerations for intra-alliance bargaining more broadly.
description: This dataset underwent an independent verification process, complying with the AJPS Verification Policy updated June 2023, which replicated the tables and figures in the primary article. For the supplementary materials, verification was performed solely for the successful execution of the code. The verification process was carried out by the Cornell Center for Social Sciences at Cornell University. 
<br>
 
The associated article has been awarded the Open Materials Badge. Learn more about the Open Practice Badges from the Center for Open Science. 
<br>


<br>
Open Materials Badge
DOI: 10.15468/dl.zj8kdc
title: Occurrence Download

description: A dataset containing 3163 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "OccurrenceStatus is Present",
 "TaxonKey is Tecophilaeaceae"
 ]
}

 The dataset includes 3163 records from 118 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016617-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4dm2tr
title: Occurrence Download

description: A dataset containing 56 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "OccurrenceStatus is Present",
 "TaxonKey is Taxodiaceae"
 ]
}

 The dataset includes 56 records from 20 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016615-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dd.scpwzw
title: Distribution records of Electrona subaspera

description: These records of Electrona subaspera were downloaded from GBIF on 2019-09-11.
DOI: 10.15468/dd.cnmh2s
title: Distribution records of Protomyctophum tenisoni

description: These records of Protomyctophum tenisoni were downloaded from GBIF on 2019-09-11.
DOI: 10.15468/dl.nqkvs3
title: Occurrence Download

description: A dataset containing 79 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Andrena nigra Provancher, 1895"
 ]
}

 The dataset includes 79 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016620-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.7910/dvn/yzrmxl
title: Supporting Data for: "An Exploratory Data Mining Study of Re-entry Events: Foundations for Multi-Modality Sensing and Data Fusion"

description: Vedant, S., Silber, E. A. (2025) An Exploratory Data Mining Study of Re-entry Events: Foundations for Multi-Modality Sensing and Data Fusion, Sandia National Laboratories report
DOI: 10.15468/dd.zkhcuz
title: Distribution records of Gymnoscopelus microlampas

description: These records of Gymnoscopelus microlampas were downloaded from GBIF on 2019-09-11.
DOI: 10.15468/dl.xw3up6
title: Occurrence Download

description: A dataset containing 12083 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Observation, Machine Observation, Human Observation)",
 "TaxonKey is Cervus nippon Temminck, 1838",
 "Year 1800-2025"
 ]
}

 The dataset includes 12083 records from 131 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016619-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6fqevg
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is one of (Human Observation, Machine Observation, Occurrence evidence, Observation)",
 "TaxonKey is one of (Poliocephalus poliocephalus)",
 "Country is one of (Åland Islands, Albania, Andorra, Austria, Belarus, Belgium, Bosnia and Herzegovina, Bulgaria, Croatia, Czechia, Denmark, Estonia, Faroe Islands, Finland, France, Germany, Gibraltar, Greece, Guernsey, Holy See, Hungary, Iceland, Ireland, Isle of Man, Italy, Jersey, Latvia, Liechtenstein, Lithuania, Luxembourg, Malta, Moldova, Republic of, Monaco, Montenegro, Netherlands, North Macedonia, Norway, Poland, Portugal, Romania, Russian Federation, San Marino, Serbia, Slovakia, Slovenia, Spain, Svalbard and Jan Mayen, Sweden, Switzerland, Ukraine, United Kingdom of Great Britain and Northern Ireland)"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0081593-250717081556266/datasets/export for details.
DOI: 10.15468/dl.djbufs
title: Occurrence Download

description: A dataset containing 6 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Mecardonia procumbens",
 "Country is Papua New Guinea",
 "HasCoordinate is true"
 ]
}

 The dataset includes 6 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0081592-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.pjm2np
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is one of (Human Observation, Machine Observation, Occurrence evidence, Observation)",
 "TaxonKey is one of (Cophyla grandis)",
 "Country is one of (Anguilla, Antigua and Barbuda, Argentina, Aruba, Bahamas, Barbados, Belize, Bolivia (Plurinational State of), Bonaire, Sint Eustatius and Saba, Bouvet Island, Brazil, Cayman Islands, Chile, Colombia, Costa Rica, Cuba, Curaçao, Dominica, Dominican Republic, Ecuador, El Salvador, Falkland Islands (Malvinas), French Guiana, Grenada, Guadeloupe, Guatemala, Guyana, Haiti, Honduras, Jamaica, Martinique, Mexico, Montserrat, Nicaragua, Panama, Paraguay, Peru, Puerto Rico, Saint Barthélemy, Saint Kitts and Nevis, Saint Lucia, Saint Martin (French part), Saint Vincent and the Grenadines, Sint Maarten (Dutch part), South Georgia and the South Sandwich Islands, Suriname, Trinidad and Tobago, Turks and Caicos Islands, Uruguay, Venezuela (Bolivarian Republic of), Virgin Islands (British), Virgin Islands (U.S.))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0081590-250717081556266/datasets/export for details.
DOI: 10.15468/dl.86wm8z
title: Occurrence Download

description: A dataset containing 21564 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Apaloderma narina)",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "License is one of (CC-BY 4.0, CC0 1.0)"
 ]
}

 The dataset includes 21564 records from 49 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0081595-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7wgukm
title: Occurrence Download

description: A dataset containing 27 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "TaxonKey is Androtium Stapf"
 ]
}

 The dataset includes 27 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011543-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.pac4ej
title: Occurrence Download

description: A dataset containing 50993 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "TaxonKey is Peucaea aestivalis (M.H.K.Lichtenstein, 1823)"
 ]
}

 The dataset includes 50993 records from 51 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011523-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3886/e243912
title: NNDSS - TABLE 1E. Botulism, Foodborne to Botulism, Other

description: NNDSS - Table 1E. Botulism, Foodborne to Botulism, Other (wound & unspecified) - 2019. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents.

Note:
This table contains provisional cases of national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up. Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html

Footnotes:
U: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.
-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.
N: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.
NN: Not nationally notifiable — This condition was not designated as being nationally notifiable.
NP: Nationally notifiable but not published — CDC does not have data because of changes in how conditions are categorized.
Cum: Cumulative year-to-date counts.
Max: Maximum — Maximum case count during the previous 52 weeks.
* Case counts for reporting years 2018 and 2019 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the US, a US territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-US Residents' category. For further information on interpretation of these data, see https://wwwn.cdc.gov/nndss/document/Users_guide_WONDER_tables_cleared_final.pdf.
† Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data).
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description: (Downloaded 1/12/2026)
DOI: 10.3886/e243912v1
title: NNDSS - TABLE 1E. Botulism, Foodborne to Botulism, Other

description: NNDSS - Table 1E. Botulism, Foodborne to Botulism, Other (wound & unspecified) - 2019. In this Table, provisional cases* of notifiable diseases are displayed for United States, U.S. territories, and Non-U.S. residents.

Note:
This table contains provisional cases of national notifiable diseases from the National Notifiable Diseases Surveillance System (NNDSS). NNDSS data from the 50 states, New York City, the District of Columbia and the U.S. territories are collated and published weekly on the NNDSS Data and Statistics web page (https://wwwn.cdc.gov/nndss/data-and-statistics.html). Cases reported by state health departments to CDC for weekly publication are provisional because of the time needed to complete case follow-up. Therefore, numbers presented in later weeks may reflect changes made to these counts as additional information becomes available. The national surveillance case definitions used to define a case are available on the NNDSS web site at https://wwwn.cdc.gov/nndss/. Information about the weekly provisional data and guides to interpreting data are available at: https://wwwn.cdc.gov/nndss/infectious-tables.html

Footnotes:
U: Unavailable — The reporting jurisdiction was unable to send the data to CDC or CDC was unable to process the data.
-: No reported cases — The reporting jurisdiction did not submit any cases to CDC.
N: Not reportable — The disease or condition was not reportable by law, statute, or regulation in the reporting jurisdiction.
NN: Not nationally notifiable — This condition was not designated as being nationally notifiable.
NP: Nationally notifiable but not published — CDC does not have data because of changes in how conditions are categorized.
Cum: Cumulative year-to-date counts.
Max: Maximum — Maximum case count during the previous 52 weeks.
* Case counts for reporting years 2018 and 2019 are provisional and subject to change. Cases are assigned to the reporting jurisdiction submitting the case to NNDSS, if the case's country of usual residence is the US, a US territory, unknown, or null (i.e. country not reported); otherwise, the case is assigned to the 'Non-US Residents' category. For further information on interpretation of these data, see https://wwwn.cdc.gov/nndss/document/Users_guide_WONDER_tables_cleared_final.pdf.
† Previous 52 week maximum and cumulative YTD are determined from periods of time when the condition was reportable in the jurisdiction (i.e., may be less than 52 weeks of data or incomplete YTD data).
Read less
description: (Downloaded 1/12/2026)