cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.25549/inscriptifact-ouc110819937
title: Persepolis Fortification Elamite Tablet 2267.101, Fort 2267.101

description: [Text Description:] Administrative text with seal ❧ [Text or Publication Number Note:] Fort 2267.101 ❧ [Excavation Description:] Found during Oriental Institute's excavations in Spring, 1933, near the northeastern corner of the stone platform of Persepolis, in two small rooms of a bastion in the fortification wall ❧ [Medium:] Clay ❧ [Script Note:] Non-Alphabetic Cuneiform ❧ [Physical Object Description:] Clay tablet with cuneiform text. Seal impression on right edge. ❧ [Physical Object Note:] Left side of tablet missing.
DOI: 10.25549/inscriptifact-ouc110819778
title: Persepolis Fortification Elamite Tablet 2267.101, Fort 2267.101

description: [Text Description:] Administrative text with seal ❧ [Text or Publication Number Note:] Fort 2267.101 ❧ [Excavation Description:] Found during Oriental Institute's excavations in Spring, 1933, near the northeastern corner of the stone platform of Persepolis, in two small rooms of a bastion in the fortification wall ❧ [Medium:] Clay ❧ [Script Note:] Non-Alphabetic Cuneiform ❧ [Physical Object Description:] Clay tablet with cuneiform text. Seal impression on right edge. ❧ [Physical Object Note:] Left side of tablet missing.
DOI: 10.25549/inscriptifact-ouc110819806
title: Persepolis Fortification Elamite Tablet 2267.101, Fort 2267.101

description: [Text Description:] Administrative text with seal ❧ [Text or Publication Number Note:] Fort 2267.101 ❧ [Excavation Description:] Found during Oriental Institute's excavations in Spring, 1933, near the northeastern corner of the stone platform of Persepolis, in two small rooms of a bastion in the fortification wall ❧ [Medium:] Clay ❧ [Script Note:] Non-Alphabetic Cuneiform ❧ [Physical Object Description:] Clay tablet with cuneiform text. Seal impression on right edge. ❧ [Physical Object Note:] Left side of tablet missing.
DOI: 10.3886/e240197
title: HIFLD OPEN Historical Physical Points

description: USGS developed The National Map Gazetteer as the Federal and national standard (ANSI INCITS 446-2008) for geographic nomenclature based on the Geographic Names Information System (GNIS). The National Map Gazetteer contains information about physical and cultural geographic features, geographic areas, and locational entities that are generally recognizable and locatable by name (have achieved some landmark status) and are of interest to any level of government or to the public for any purpose that would lead to the representation of the feature in printed or electronic maps and/or geographic information systems. The dataset includes features of all types in the United States, its associated areas, and Antarctica, current and historical, but not including roads and highways. The dataset holds the federally recognized name of each feature and defines the feature location by state, county, USGS topographic map, and geographic coordinates. Other attributes include names or spellings other than the official name, feature classification, and historical and descriptive information. The dataset assigns a unique, permanent feature identifier, the Feature ID, as a standard Federal key for accessing, integrating, or reconciling feature data from multiple data sets. This dataset is a flat model, establishing no relationships between features, such as hierarchical, spatial, jurisdictional, organizational, administrative, or in any other manner. As an integral part of The National Map, the Gazetteer collects data from a broad program of partnerships with federal, state, and local government agencies and other authorized contributors. The Gazetteer provides data to all levels of government and to the public, as well as to numerous applications through a web query site, web map, feature and XML services, file download services, and customized files upon request. The National Map download client allows free downloads of public domain geographic names data by state in a pipe-delimited text format. For additional information on the GNIS, go to https://www.usgs.gov/tools/geographic-names-information-system-gnis. See https://apps.nationalmap.gov/help/ for assistance with The National Map viewer, download client, services, or metadata. Data Refreshed March, 2025
description: Archived from the HIFLD Open GIS data repository, which was deactivated on August 26, 2025.
DOI: 10.3886/e240197v1
title: HIFLD OPEN Historical Physical Points

description: USGS developed The National Map Gazetteer as the Federal and national standard (ANSI INCITS 446-2008) for geographic nomenclature based on the Geographic Names Information System (GNIS). The National Map Gazetteer contains information about physical and cultural geographic features, geographic areas, and locational entities that are generally recognizable and locatable by name (have achieved some landmark status) and are of interest to any level of government or to the public for any purpose that would lead to the representation of the feature in printed or electronic maps and/or geographic information systems. The dataset includes features of all types in the United States, its associated areas, and Antarctica, current and historical, but not including roads and highways. The dataset holds the federally recognized name of each feature and defines the feature location by state, county, USGS topographic map, and geographic coordinates. Other attributes include names or spellings other than the official name, feature classification, and historical and descriptive information. The dataset assigns a unique, permanent feature identifier, the Feature ID, as a standard Federal key for accessing, integrating, or reconciling feature data from multiple data sets. This dataset is a flat model, establishing no relationships between features, such as hierarchical, spatial, jurisdictional, organizational, administrative, or in any other manner. As an integral part of The National Map, the Gazetteer collects data from a broad program of partnerships with federal, state, and local government agencies and other authorized contributors. The Gazetteer provides data to all levels of government and to the public, as well as to numerous applications through a web query site, web map, feature and XML services, file download services, and customized files upon request. The National Map download client allows free downloads of public domain geographic names data by state in a pipe-delimited text format. For additional information on the GNIS, go to https://www.usgs.gov/tools/geographic-names-information-system-gnis. See https://apps.nationalmap.gov/help/ for assistance with The National Map viewer, download client, services, or metadata. Data Refreshed March, 2025
description: Archived from the HIFLD Open GIS data repository, which was deactivated on August 26, 2025.
DOI: 10.25549/inscriptifact-ouc110819774
title: Persepolis Fortification Elamite Tablet 2267.101, Fort 2267.101

description: [Text Description:] Administrative text with seal ❧ [Text or Publication Number Note:] Fort 2267.101 ❧ [Excavation Description:] Found during Oriental Institute's excavations in Spring, 1933, near the northeastern corner of the stone platform of Persepolis, in two small rooms of a bastion in the fortification wall ❧ [Medium:] Clay ❧ [Script Note:] Non-Alphabetic Cuneiform ❧ [Physical Object Description:] Clay tablet with cuneiform text. Seal impression on right edge. ❧ [Physical Object Note:] Left side of tablet missing.
DOI: 10.25549/inscriptifact-ouc110819907
title: Persepolis Fortification Elamite Tablet 2272.101, Fort 2272.101

description: [Text Description:] Administrative text ❧ [Text or Publication Number Note:] Fort 2272.101 ❧ [Excavation Description:] Found during Oriental Institute's excavations in Spring, 1933, near the northeastern corner of the stone platform of Persepolis, in two small rooms of a bastion in the fortification wall ❧ [Medium:] Clay ❧ [Script Note:] Non-Alphabetic Cuneiform ❧ [Physical Object Description:] Clay tablet with cuneiform text. ❧ [Physical Object Note:] Upper left, upper right and lower right corners broken off. Damage on obverse, reverse.
DOI: 10.15468/dl.ss3b64
title: Occurrence Download

description: A dataset containing 813 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Acrachne Wight & Arn. ex Chiov."
 ]
}

 The dataset includes 813 records from 67 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012573-250415084134356/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.7281/t1/0jwmf0/e5qibl
title: README.txt

description: README file for the dataset
DOI: 10.7281/t1/0jwmf0/o3gk0s
title: complex-dopant-paper.zip

description: Raw data files behind publication
DOI: 10.15468/dl.2x2faq
title: Occurrence Download

description: A dataset containing 56044 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is United States of America",
 "Geometry POLYGON((-81.79978 33.06806,-70.61247 32.81508,-70.61247 43.68017,-81.46387 44.06021,-81.5926 40.32705,-81.79978 33.06806))",
 "HasGeospatialIssue is false",
 "TaxonKey is Alliaria petiolata",
 "Year 2005-2026"
 ]
}

 The dataset includes 56044 records from 53 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000229-260119153935675/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4k5n9d
title: Occurrence Download

description: A dataset containing 4 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"within","geometry":"POLYGON ((-90.15300000000001 16.67982, -90.226327 16.674245, -90.297836 16.657658, -90.36575499999999 16.630469, -90.428403 16.593352, -90.484233 16.547228, -90.53186599999999 16.493236, -90.570133 16.432713, -90.59809799999999 16.367155, -90.61508000000001 16.298178, -90.620673 16.227485, -90.61475 16.156816, -90.597471 16.087911, -90.56927 16.022464, -90.530852 15.962083, -90.483166 15.908247, -90.42738900000001 15.862279, -90.364892 15.825304, -90.297209 15.798227, -90.22599700000001 15.781711, -90.15300000000001 15.77616, -90.080003 15.781711, -90.008791 15.798227, -89.941108 15.825304, -89.87861100000001 15.862279, -89.822834 15.908247, -89.775148 15.962083, -89.73672999999999 16.022464, -89.708529 16.087911, -89.69125 16.156816, -89.685327 16.227485, -89.69092000000001 16.298178, -89.707902 16.367155, -89.735867 16.432713, -89.774134 16.493236, -89.82176699999999 16.547228, -89.87759699999999 16.593352, -89.940245 16.630469, -90.00816399999999 16.657658, -90.079673 16.674245, -90.15300000000001 16.67982))"},{"type":"equals","key":"CLASS_KEY","value":"212","matchCase":false},{"type":"greaterThanOrEquals","key":"YEAR","value":"2015","matchCase":false},{"type":"not","predicate":{"type":"in","key":"BASIS_OF_RECORD","values":["MATERIAL_CITATION","MATERIAL_SAMPLE","PRESERVED_SPECIMEN"],"matchCase":false}},{"type":"lessThanOrEquals","key":"COORDINATE_UNCERTAINTY_IN_METERS","value":"10000","matchCase":false},{"type":"equals","key":"LICENSE","value":"CC BY 4.0","matchCase":false}]}

 The dataset includes 4 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000276-260119153935675/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3886/8ffj-k214
title: Facebook Political Ads Reach and Impressions by Age Standard Deviation

description: This dataset includes information about reach and impressions during the election period for all ads about social issues, elections, and politics (SIEP) in the U.S. that reached a specific standard deviation of ages.
description: The U.S. 2020 Facebook and Instagram Election Study (US 2020 FIES) is a partnership between Meta and academic researchers to understand the impact of Facebook and Instagram on key political attitudes and behaviors during the US 2020 election.
DOI: 10.3886/e113268v1-197827
title: Replication data for: The Demand for, and Impact of, Learning HIV Status

description: This paper evaluates an experiment in which individuals in rural Malawi
were randomly assigned monetary incentives to learn their HIV results after
being tested. Distance to the HIV results centers was also randomly assigned.
Without any incentive, 34 percent of the participants learned their HIV results.
However, even the smallest incentive doubled that share. Using the randomly
assigned incentives and distance from results centers as instruments for the
knowledge of HIV status, sexually active HIV-positive individuals who learned
their results are three times more likely to purchase condoms two months later
than sexually active HIV-positive individuals who did not learn their results;
however, HIV-positive individuals who learned their results purchase only two
additional condoms than those who did not. There is no significant effect of
learning HIV-negative status on the purchase of condoms. (JEL I12, O15)
DOI: 10.3886/e113268v1-197828
title: Replication data for: The Demand for, and Impact of, Learning HIV Status

description: This paper evaluates an experiment in which individuals in rural Malawi
were randomly assigned monetary incentives to learn their HIV results after
being tested. Distance to the HIV results centers was also randomly assigned.
Without any incentive, 34 percent of the participants learned their HIV results.
However, even the smallest incentive doubled that share. Using the randomly
assigned incentives and distance from results centers as instruments for the
knowledge of HIV status, sexually active HIV-positive individuals who learned
their results are three times more likely to purchase condoms two months later
than sexually active HIV-positive individuals who did not learn their results;
however, HIV-positive individuals who learned their results purchase only two
additional condoms than those who did not. There is no significant effect of
learning HIV-negative status on the purchase of condoms. (JEL I12, O15)
DOI: 10.15468/dl.e7bk8f
title: Occurrence Download

description: A dataset containing 19 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Draba boerhaavii, Draba spathulata, Draba spathulata, Erophila spathulata, Erophila spathulata, Erophila spathulata)",
 "Geometry POLYGON ((8.643 46.99, 14.1 46.92, 14.43 50.75, 8.534 50.83, 8.643 46.99))",
 "Year is greater than or equal to 2010",
 "OccurrenceStatus is Present",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "CoordinateUncertaintyInMeters is less than or equal to 50",
 "BasisOfRecord is one of (Observation, Human Observation, Machine Observation, Material sample)"
 ]
}

 The dataset includes 19 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000278-260119153935675/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17911273
title: Geomorphic evidence for present-day uplift and sediment bypass in the northern South American Foreland Basins

description: The dataset contains all the information related to the contribution "Geomorphic evidence for present-day uplift and sediment bypass in the northern South American Foreland Basins".  It includes data on the topographic profiles, areas of high and slope slope per basin, distribution of slope angles areas in the different basins, and hypsometric data.
DOI: 10.5281/zenodo.17911274
title: Geomorphic evidence for present-day uplift and sediment bypass in the northern South American Foreland Basins

description: The dataset contains all the information related to the contribution "Geomorphic evidence for present-day uplift and sediment bypass in the northern South American Foreland Basins".  It includes data on the topographic profiles, areas of high and slope slope per basin, distribution of slope angles areas in the different basins, and hypsometric data.
DOI: 10.3886/23kb-eq21
title: Facebook Political Ads Reach and Impressions by Proportion of Males

description: This dataset includes information about reach and impressions during the election period for all ads about social issues, elections, and politics (SIEP) in the U.S. that reached a specific proportion of males.
description: The U.S. 2020 Facebook and Instagram Election Study (US 2020 FIES) is a partnership between Meta and academic researchers to understand the impact of Facebook and Instagram on key political attitudes and behaviors during the US 2020 election.
DOI: 10.15468/dl.54jm7e
title: Occurrence Download

description: A dataset containing 64431 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Cyanolyca"
 ]
}

 The dataset includes 64431 records from 154 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000234-260119153935675/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.aaw5gz
title: Occurrence Download

description: A dataset containing 3464 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Pogonatherum crinitum"
 ]
}

 The dataset includes 3464 records from 124 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000280-260119153935675/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18302747
title: sphNG Tabels

description: Lookup tables and other data used for running astrophysics SPH simulations with the sphNG code.
DOI: 10.5281/zenodo.18302748
title: sphNG Tabels

description: Lookup tables and other data used for running astrophysics SPH simulations with the sphNG code.
DOI: 10.15468/dl.vxws5k
title: Occurrence Download

description: A dataset containing 15 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"within","geometry":"POLYGON ((-90.342 16.878812, -90.415403 16.873237, -90.486987 16.856649, -90.554976 16.82946, -90.617689 16.792343, -90.673575 16.746218, -90.721256 16.692227, -90.75956100000001 16.631704, -90.78755200000001 16.566146, -90.80455000000001 16.49717, -90.810146 16.426478, -90.804215 16.355811, -90.786917 16.286908, -90.758686 16.221463, -90.72022699999999 16.161083, -90.672493 16.10725, -90.61666 16.061284, -90.554101 16.02431, -90.486351 15.997234, -90.415069 15.980719, -90.342 15.975169, -90.26893099999999 15.980719, -90.197649 15.997234, -90.12989899999999 16.02431, -90.06734 16.061284, -90.01150699999999 16.10725, -89.963773 16.161083, -89.925314 16.221463, -89.89708299999999 16.286908, -89.879785 16.355811, -89.87385399999999 16.426478, -89.87945000000001 16.49717, -89.89644800000001 16.566146, -89.92443900000001 16.631704, -89.962744 16.692227, -90.010425 16.746218, -90.066311 16.792343, -90.129024 16.82946, -90.197013 16.856649, -90.268597 16.873237, -90.342 16.878812))"},{"type":"equals","key":"CLASS_KEY","value":"212","matchCase":false},{"type":"greaterThanOrEquals","key":"YEAR","value":"2015","matchCase":false},{"type":"not","predicate":{"type":"in","key":"BASIS_OF_RECORD","values":["MATERIAL_CITATION","MATERIAL_SAMPLE","PRESERVED_SPECIMEN"],"matchCase":false}},{"type":"lessThanOrEquals","key":"COORDINATE_UNCERTAINTY_IN_METERS","value":"10000","matchCase":false},{"type":"equals","key":"LICENSE","value":"CC BY 4.0","matchCase":false}]}

 The dataset includes 15 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000281-260119153935675/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6vgfcy
title: Occurrence Download

description: A dataset containing 604612 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (United States of America, Canada, Mexico)",
 "OccurrenceStatus is Present",
 "TaxonKey is Danaus plexippus",
 "Year 1000-2023"
 ]
}

 The dataset includes 604612 records from 163 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000247-260119153935675/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.43afns
title: Occurrence Download

description: A dataset containing 65 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Draba praecox, Erophila praecox)",
 "Geometry POLYGON ((8.643 46.99, 14.1 46.92, 14.43 50.75, 8.534 50.83, 8.643 46.99))",
 "Year is greater than or equal to 2010",
 "OccurrenceStatus is Present",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "CoordinateUncertaintyInMeters is less than or equal to 50",
 "BasisOfRecord is one of (Observation, Human Observation, Machine Observation, Material sample)"
 ]
}

 The dataset includes 65 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000283-260119153935675/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3886/r0sb-pb90
title: Comparison Statistics About Monthly Active Users

description: This dataset includes aggregated statistics about the gender and age of monthly active users of Facebook.
description: The U.S. 2020 Facebook and Instagram Election Study (US 2020 FIES) is a partnership between Meta and academic researchers to understand the impact of Facebook and Instagram on key political attitudes and behaviors during the US 2020 election.
DOI: 10.15468/dl.92dux2
title: Occurrence Download

description: A dataset containing 1168 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Geometry POLYGON((-131.07346 54.53232,-114.80934 -56.85127,-16.45011 -47.38705,-58.27215 59.18273,-131.07346 55.85834,-131.07346 54.53232))",
 "HasGeospatialIssue is false",
 "TaxonKey is Gracilariopsis"
 ]
}

 The dataset includes 1168 records from 44 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000284-260119153935675/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.7910/dvn/0ukj8h
title: Dataset for article: Spatial Imaginaries in Practice: A Framework for Detecting, Comparing, and Interpreting Fields of Meaning

description: Bibliometric and QCA summary data.
DOI: 10.6084/m9.figshare.31093252
title: Allometric shell scaling drives ontogenetic shifts in preference and performance in a hermit crab data set

description: This dataset contains the raw data used to analyze shell preference and size-dependent performance trade-offs in the hermit crab <i>Calcinus californiensis</i>. The dataset includes individual-level measurements of hermit crab body size (body mass and shield length), shell characteristics (shell species, shell mass, shell dimensions, and internal volume), and physiological and behavioral performance metrics.Specifically, the dataset comprises:<br>(i) shell preference data for small and large hermit crabs choosing between <i>Nerita scabricosta</i> and <i>Stramonita biserialis</i> shells;<br>(ii) scaling relationships between hermit crab body mass and shell traits (shell mass and internal volume); and<br>(iii) functional and physiological responses of hermit crabs occupying different shell species, including standard metabolic rate, muscular strength, righting maneuver duration, and walking speed.All data were collected from intertidal rocky pools at Troncones, Guerrero, Mexico, in May 2024. The dataset supports the analyses and conclusions presented in the associated manuscript examining how allometric changes in gastropod shell morphology are associated with size-dependent shell use and performance in hermit crabs.