cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.3594643
title: DISCERN: Duke Innovation & SCientific Enterprises Research Network

description: This database links patent data to Compustat firms. When using the data, please cite "WHY DO FIRMS INVEST IN RESEARCH?" (Arora, Belenzon and Sheer), NBER WP 23187.


Please follow the Stata DO files to merge the data into Compustat (using the field "gvkey"). The program “main_do_file.do” is the main do file. It runs all the other do files. See the Readme file for more detail.  


This project introduces major data extension and improvement to the historical NBER patent dataset, which should be valuable for all researchers working with patent data linked to firms. In updating the data to match between Compustat and patents to 2015, we address two major challenges: name changes and ownership changes. These challenges are central to how patents are assigned to firms over time. To be consistent over the sample period, we reconstruct the complete historical data covered in the NBER data files.


About 30% of the Compustat firms in our sample change their name at least once. Accounting for name changes improves the accuracy and scope of matches to patents (and other assets), ownership structure, and dynamic reassignments of GVKEY codes to companies. Dynamic reassignment means that, for instance, if a sample firm merges with another firm, the patents of the merged firm are included in the stock of patents linked to the Compustat record from that point onward, but not before.


For ownership and subsidiary data we rely on a wide range of M&A data, including SDC, historical snapshots of ORBIS files for 2002-2015, 10-K SEC filings, and NBER2006 as well as perform extensive manual checks that help us uncover firms’ structure and ownership changes before proceeding to the patent match. Thus, we have extended and improved the NBER patent data. In the enclosed "Data Appendix", we document our data construction work, present several examples (“case studies”), and outline the improvements we made to existing NBER historical patent data.
DOI: 10.5281/zenodo.13154584
title: Binary black-hole simulation SXS:BBH:2176

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.13154585
title: Binary black-hole simulation SXS:BBH:2176

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.15468/dl.7dxxuv
title: Occurrence Download

description: A dataset containing 45 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 Ficus subcostata De Wild.",
 "Continent is Africa"
 ]
}

 The dataset includes 45 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0044696-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.3594694
title: DISCERN: Duke Innovation & SCientific Enterprises Research Network

description: This database links patent data to Compustat firms. When using the data, please cite "WHY DO FIRMS INVEST IN RESEARCH?" (Arora, Belenzon and Sheer), NBER WP 23187.


Please follow the Stata DO files to merge the data into Compustat (using the field "gvkey"). The program “main_do_file.do” is the main do file. It runs all the other do files. See the Readme file for more detail.  


This project introduces major data extension and improvement to the historical NBER patent dataset, which should be valuable for all researchers working with patent data linked to firms. In updating the data to match between Compustat and patents to 2015, we address two major challenges: name changes and ownership changes. These challenges are central to how patents are assigned to firms over time. To be consistent over the sample period, we reconstruct the complete historical data covered in the NBER data files.


About 30% of the Compustat firms in our sample change their name at least once. Accounting for name changes improves the accuracy and scope of matches to patents (and other assets), ownership structure, and dynamic reassignments of GVKEY codes to companies. Dynamic reassignment means that, for instance, if a sample firm merges with another firm, the patents of the merged firm are included in the stock of patents linked to the Compustat record from that point onward, but not before.


For ownership and subsidiary data we rely on a wide range of M&A data, including SDC, historical snapshots of ORBIS files for 2002-2015, 10-K SEC filings, and NBER2006 as well as perform extensive manual checks that help us uncover firms’ structure and ownership changes before proceeding to the patent match. Thus, we have extended and improved the NBER patent data. In the enclosed "Data Appendix", we document our data construction work, present several examples (“case studies”), and outline the improvements we made to existing NBER historical patent data.
DOI: 10.5281/zenodo.13154596
title: Binary black-hole simulation SXS:BBH:2256

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.13154597
title: Binary black-hole simulation SXS:BBH:2256

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.15468/dl.ucb4as
title: Occurrence Download

description: A dataset containing 443822 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is iNaturalist Research-grade Observations",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Country is one of (Canada, Mexico, United States of America)",
 "EventDate is greater than or equal to 2024-07-07",
 "EventDate is less than or equal to 2024-08-06",
 {
 "not" : {
 "Issue" : [
 "is one of (Basis of record invalid, Coordinate reprojection failed, Coordinate reprojection suspicious, Coordinate precision invalid, Coordinate uncertainty meters invalid, Country mismatch, Country invalid, Geodetic datum invalid, Presumed swapped coordinate, Presumed negated longitude, Presumed negated latitude, Country coordinate mismatch)"
 ]
 }
 }
 ]
}

 The dataset includes 443822 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0044676-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5287/ora-zb9yndz9n
title: Critical Mass tax calculator spreadsheet

description: Calculator spreadsheet to enable tax calculations for vehicles under the proposals made in the book Critical Mass (SAE International, 2024).
DOI: 10.15468/dl.q2ygdh
title: Occurrence Download

description: A dataset containing 145 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 Ficus natalensis subsp. natalensis",
 "Continent is Africa"
 ]
}

 The dataset includes 145 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0044697-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jye92u
title: Occurrence Download

description: A dataset containing 600 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Polymesoda arctata (Deshayes, 1855)"
 ]
}

 The dataset includes 600 records from 20 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0044698-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.13154600
title: Binary black-hole simulation SXS:BBH:2166

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.13154601
title: Binary black-hole simulation SXS:BBH:2166

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.26138/sxs:bbh:1341v2.0
title: Binary black-hole simulation SXS:BBH:1341
DOI: 10.26138/sxs:bbh:1279v2.0
title: Binary black-hole simulation SXS:BBH:1279
DOI: 10.26138/sxs:bbh:1247v2.0
title: Binary black-hole simulation SXS:BBH:1247
DOI: 10.26138/sxs:bbh:1253v2.0
title: Binary black-hole simulation SXS:BBH:1253
DOI: 10.26138/sxs:bbh:1248v2.0
title: Binary black-hole simulation SXS:BBH:1248
DOI: 10.26138/sxs:bbh:1278v2.0
title: Binary black-hole simulation SXS:BBH:1278
DOI: 10.26138/sxs:bbh:1284v2.0
title: Binary black-hole simulation SXS:BBH:1284
DOI: 10.26138/sxs:bbh:1286v2.0
title: Binary black-hole simulation SXS:BBH:1286
DOI: 10.26138/sxs:bbh:1240v2.0
title: Binary black-hole simulation SXS:BBH:1240
DOI: 10.26138/sxs:bbh:1336v2.0
title: Binary black-hole simulation SXS:BBH:1336
DOI: 10.26138/sxs:bbh:1310v2.0
title: Binary black-hole simulation SXS:BBH:1310
DOI: 10.26138/sxs:bbh:1261v2.0
title: Binary black-hole simulation SXS:BBH:1261
DOI: 10.26138/sxs:bbh:1264v2.0
title: Binary black-hole simulation SXS:BBH:1264
DOI: 10.26138/sxs:bbh:1327v2.0
title: Binary black-hole simulation SXS:BBH:1327
DOI: 10.26138/sxs:bbh:1321v2.0
title: Binary black-hole simulation SXS:BBH:1321
DOI: 10.26138/sxs:bbh:1303v2.0
title: Binary black-hole simulation SXS:BBH:1303
DOI: 10.26138/sxs:bbh:1333v2.0
title: Binary black-hole simulation SXS:BBH:1333
DOI: 10.26138/sxs:bbh:1297v2.0
title: Binary black-hole simulation SXS:BBH:1297
DOI: 10.26138/sxs:bbh:1229v2.0
title: Binary black-hole simulation SXS:BBH:1229
DOI: 10.26138/sxs:bbh:2499v2.0
title: Binary black-hole simulation SXS:BBH:2499
DOI: 10.26138/sxs:bbh:2512v2.0
title: Binary black-hole simulation SXS:BBH:2512
DOI: 10.26138/sxs:bbh:2507v2.0
title: Binary black-hole simulation SXS:BBH:2507
DOI: 10.26138/sxs:bbh:2500v2.0
title: Binary black-hole simulation SXS:BBH:2500
DOI: 10.5281/zenodo.13154604
title: Binary black-hole simulation SXS:BBH:2222

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.13154605
title: Binary black-hole simulation SXS:BBH:2222

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.26138/sxs:bbh:2511v2.0
title: Binary black-hole simulation SXS:BBH:2511
DOI: 10.26138/sxs:bbh:2498v2.0
title: Binary black-hole simulation SXS:BBH:2498
DOI: 10.15468/dl.94apjj
title: Occurrence Download

description: A dataset containing 62 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 Grewia schinzii K.Schum.",
 "Continent is Africa"
 ]
}

 The dataset includes 62 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0044699-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.26138/sxs:bbh:2504v2.0
title: Binary black-hole simulation SXS:BBH:2504
DOI: 10.26138/sxs:bbh:2503v2.0
title: Binary black-hole simulation SXS:BBH:2503
DOI: 10.15472/tff0o9
title: Avifauna del Banco de Hábitat El Tigrillo – Río Manacacías

description: Los bancos de hábitat se definen como un área en la que se pueden realizar actividades de preservación, restauración, rehabilitación, recuperación y/o uso sostenible para la conservación de la biodiversidad. Así mismo se convierten en un mecanismo de implementación de inversiones ambientales y compensaciones, ampliamente utilizado en otros países, los cuales han demostrado generar resultados permanentes y sostenibles en materia de conservación de ecosistemas, contribuyendo en la implementación de las medidas compensatorias.
description: El recurso contiene la información de avifauna recopilada (453 registros biológicos) durante el proceso de registro ante el Ministerio de Ambiente del Banco de Hábitat El Tigrillo – Río Manacacías, ubicado al costado occidental del municipio de Puerto Gaitán, Meta. La información fue recolectada a través de un muestreo rápido mediante el establecimiento de puntos de conteo durante el mes de junio del 2022.
DOI: 10.26138/sxs:bbh:2508v2.0
title: Binary black-hole simulation SXS:BBH:2508
DOI: 10.26138/sxs:bbh:2510v2.0
title: Binary black-hole simulation SXS:BBH:2510
DOI: 10.26138/sxs:bbh:2497v2.0
title: Binary black-hole simulation SXS:BBH:2497
DOI: 10.26138/sxs:bbh:2501v2.0
title: Binary black-hole simulation SXS:BBH:2501
DOI: 10.26138/sxs:bbh:2506v2.0
title: Binary black-hole simulation SXS:BBH:2506
DOI: 10.26138/sxs:bbh:2496v2.0
title: Binary black-hole simulation SXS:BBH:2496
DOI: 10.26138/sxs:bbh:2502v2.0
title: Binary black-hole simulation SXS:BBH:2502
DOI: 10.26138/sxs:bbh:2509v2.0
title: Binary black-hole simulation SXS:BBH:2509
DOI: 10.26138/sxs:bbh:2505v2.0
title: Binary black-hole simulation SXS:BBH:2505
DOI: 10.26138/sxs:bbh:1387v2.0
title: Binary black-hole simulation SXS:BBH:1387
DOI: 10.26138/sxs:bbh:1132v2.0
title: Binary black-hole simulation SXS:BBH:1132
DOI: 10.26138/sxs:bbh:0627v2.0
title: Binary black-hole simulation SXS:BBH:0627
DOI: 10.26138/sxs:bbh:1123v2.0
title: Binary black-hole simulation SXS:BBH:1123
DOI: 10.26138/sxs:bbh:0624v2.0
title: Binary black-hole simulation SXS:BBH:0624
DOI: 10.26138/sxs:bbh:0623v2.0
title: Binary black-hole simulation SXS:BBH:0623
DOI: 10.26138/sxs:bbh:1124v2.0
title: Binary black-hole simulation SXS:BBH:1124
DOI: 10.26138/sxs:bbh:1122v2.0
title: Binary black-hole simulation SXS:BBH:1122
DOI: 10.26138/sxs:bbh:1112v2.0
title: Binary black-hole simulation SXS:BBH:1112
DOI: 10.5281/zenodo.13154615
title: Binary black-hole simulation SXS:BBH:2216

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.13154616
title: Binary black-hole simulation SXS:BBH:2216

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.26138/sxs:bbh:1125v2.0
title: Binary black-hole simulation SXS:BBH:1125
DOI: 10.26138/sxs:bbh:1109v2.0
title: Binary black-hole simulation SXS:BBH:1109
DOI: 10.26138/sxs:bbh:1126v2.0
title: Binary black-hole simulation SXS:BBH:1126
DOI: 10.26138/sxs:bbh:0625v2.0
title: Binary black-hole simulation SXS:BBH:0625
DOI: 10.26138/sxs:bbh:1111v2.0
title: Binary black-hole simulation SXS:BBH:1111
DOI: 10.26138/sxs:bbh:0314v2.0
title: Binary black-hole simulation SXS:BBH:0314
DOI: 10.26138/sxs:bbh:1113v2.0
title: Binary black-hole simulation SXS:BBH:1113
DOI: 10.26138/sxs:bbh:0626v2.0
title: Binary black-hole simulation SXS:BBH:0626
DOI: 10.26138/sxs:bbh:0628v2.0
title: Binary black-hole simulation SXS:BBH:0628
DOI: 10.26138/sxs:bbh:0308v2.0
title: Binary black-hole simulation SXS:BBH:0308
DOI: 10.26138/sxs:bbh:1131v2.0
title: Binary black-hole simulation SXS:BBH:1131
DOI: 10.26138/sxs:bbh:1110v2.0
title: Binary black-hole simulation SXS:BBH:1110
DOI: 10.15468/dl.u6ek7s
title: Occurrence Download

description: A dataset containing 494 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 Croton macrostachyus Hochst. ex Delile",
 "Continent is Africa"
 ]
}

 The dataset includes 494 records from 35 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0044700-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.26138/sxs:bbh:1107v2.0
title: Binary black-hole simulation SXS:BBH:1107
DOI: 10.26138/sxs:bbh:1128v2.0
title: Binary black-hole simulation SXS:BBH:1128
DOI: 10.26138/sxs:bbh:1133v2.0
title: Binary black-hole simulation SXS:BBH:1133
DOI: 10.26138/sxs:bbh:0315v2.0
title: Binary black-hole simulation SXS:BBH:0315
DOI: 10.26138/sxs:bbh:1130v2.0
title: Binary black-hole simulation SXS:BBH:1130
DOI: 10.26138/sxs:bbh:2264v2.0
title: Binary black-hole simulation SXS:BBH:2264
DOI: 10.26138/sxs:bbh:1129v2.0
title: Binary black-hole simulation SXS:BBH:1129
DOI: 10.26138/sxs:bbh:1108v2.0
title: Binary black-hole simulation SXS:BBH:1108
DOI: 10.26138/sxs:bbh:0307v2.0
title: Binary black-hole simulation SXS:BBH:0307
DOI: 10.26138/sxs:bbh:0622v2.0
title: Binary black-hole simulation SXS:BBH:0622
DOI: 10.26138/sxs:bbh:1127v2.0
title: Binary black-hole simulation SXS:BBH:1127
DOI: 10.26138/sxs:bbh:1114v2.0
title: Binary black-hole simulation SXS:BBH:1114
DOI: 10.26138/sxs:bbh:3871v2.0
title: Binary black-hole simulation SXS:BBH:3871
DOI: 10.26138/sxs:bbh:3872v2.0
title: Binary black-hole simulation SXS:BBH:3872
DOI: 10.26138/sxs:bbh:2179v2.0
title: Binary black-hole simulation SXS:BBH:2179
DOI: 10.26138/sxs:bbh:2194v2.0
title: Binary black-hole simulation SXS:BBH:2194
DOI: 10.5281/zenodo.13154617
title: Binary black-hole simulation SXS:BBH:2249

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.13154618
title: Binary black-hole simulation SXS:BBH:2249

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.26138/sxs:bbh:2231v2.0
title: Binary black-hole simulation SXS:BBH:2231
DOI: 10.26138/sxs:bbh:2165v2.0
title: Binary black-hole simulation SXS:BBH:2165
DOI: 10.26138/sxs:bbh:2177v2.0
title: Binary black-hole simulation SXS:BBH:2177
DOI: 10.26138/sxs:bbh:2174v2.0
title: Binary black-hole simulation SXS:BBH:2174
DOI: 10.26138/sxs:bbh:2203v2.0
title: Binary black-hole simulation SXS:BBH:2203
DOI: 10.26138/sxs:bbh:2213v2.0
title: Binary black-hole simulation SXS:BBH:2213
DOI: 10.26138/sxs:bbh:2253v2.0
title: Binary black-hole simulation SXS:BBH:2253
DOI: 10.26138/sxs:bbh:2172v2.0
title: Binary black-hole simulation SXS:BBH:2172
DOI: 10.26138/sxs:bbh:2207v2.0
title: Binary black-hole simulation SXS:BBH:2207
DOI: 10.26138/sxs:bbh:2206v2.0
title: Binary black-hole simulation SXS:BBH:2206
DOI: 10.26138/sxs:bbh:2200v2.0
title: Binary black-hole simulation SXS:BBH:2200
DOI: 10.26138/sxs:bbh:2176v2.0
title: Binary black-hole simulation SXS:BBH:2176
DOI: 10.26138/sxs:bbh:2256v2.0
title: Binary black-hole simulation SXS:BBH:2256
DOI: 10.15468/dl.snmk67
title: Occurrence Download

description: A dataset containing 818 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 Croton sylvaticus Hochst.",
 "Continent is Africa"
 ]
}

 The dataset includes 818 records from 38 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0044701-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.13154621
title: Binary black-hole simulation SXS:BBH:2221

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.13154622
title: Binary black-hole simulation SXS:BBH:2221

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.3594743
title: DISCERN: Duke Innovation & SCientific Enterprises Research Network

description: This database links patent data to Compustat firms. When using the data, please cite "WHY DO FIRMS INVEST IN RESEARCH?" (Arora, Belenzon and Sheer), NBER WP 23187.


Please follow the Stata DO files to merge the data into Compustat (using the field "gvkey"). The program “main_do_file.do” is the main do file. It runs all the other do files. See the Readme file for more detail.  


This project introduces major data extension and improvement to the historical NBER patent dataset, which should be valuable for all researchers working with patent data linked to firms. In updating the data to match between Compustat and patents to 2015, we address two major challenges: name changes and ownership changes. These challenges are central to how patents are assigned to firms over time. To be consistent over the sample period, we reconstruct the complete historical data covered in the NBER data files.


About 30% of the Compustat firms in our sample change their name at least once. Accounting for name changes improves the accuracy and scope of matches to patents (and other assets), ownership structure, and dynamic reassignments of GVKEY codes to companies. Dynamic reassignment means that, for instance, if a sample firm merges with another firm, the patents of the merged firm are included in the stock of patents linked to the Compustat record from that point onward, but not before.


For ownership and subsidiary data we rely on a wide range of M&A data, including SDC, historical snapshots of ORBIS files for 2002-2015, 10-K SEC filings, and NBER2006 as well as perform extensive manual checks that help us uncover firms’ structure and ownership changes before proceeding to the patent match. Thus, we have extended and improved the NBER patent data. In the enclosed "Data Appendix", we document our data construction work, present several examples (“case studies”), and outline the improvements we made to existing NBER historical patent data.
DOI: 10.15468/dl.bkkemc
title: Occurrence Download

description: A dataset containing 216 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 Croton menyharthii Pax",
 "Continent is Africa"
 ]
}

 The dataset includes 216 records from 17 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0044702-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.13154623
title: test
DOI: 10.5281/zenodo.13154624
title: test
DOI: 10.5281/zenodo.13154629
title: Binary black-hole simulation SXS:BBH:2220

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.13154630
title: Binary black-hole simulation SXS:BBH:2220

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.15468/dl.8nhbx6
title: Occurrence Download

description: A dataset containing 3662 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-98.12911 15.15116,-97.69677 16.03831,-97.69677 16.03831,-98.11031 16.7326,-101.99194 18.23856,-102.2175 18.20285,-102.44307 17.54092,-102.58405 17.11924,-98.12911 15.15116))",
 "HasGeospatialIssue is false",
 "TaxonKey is Echinodermata"
 ]
}

 The dataset includes 3662 records from 23 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0044703-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.b265ry
title: Occurrence Download

description: A dataset containing 7 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 Grewia rupestris Schinz",
 "Continent is Africa"
 ]
}

 The dataset includes 7 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0044704-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34740/kaggle/dsv/9084563
title: Quarterly External Debt Statistics (QEDS/SDDS)