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

description: A dataset containing 1470 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-51.25996 -27.86548,-51.01884 -27.86548,-51.01884 -26.96741,-51.25996 -26.96741,-51.25996 -27.86548))",
 "HasGeospatialIssue is false",
 "TaxonKey is Aves"
 ]
}

 The dataset includes 1470 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0188271-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.tcpccv
title: Occurrence Download

description: A dataset containing 3163 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Phengaris teleius (Virgstrassir, 1779)",
 "Year 1980-2023"
 ]
}

 The dataset includes 3163 records from 18 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0279731-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ssjmvy
title: Occurrence Download

description: A dataset containing 60653 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is UK Roadkill Records"
 ]
}

 The dataset includes 60653 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0240427-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5hn8hu
title: Occurrence Download

description: A dataset containing 3 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Haliophasma coronicauda Barnard, 1925"
 ]
}

 The dataset includes 3 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0120641-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fk6p47
title: Occurrence Download

description: A dataset containing 58927 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Rallus elegans Audubon, 1834)",
 "HasCoordinate is one of (true)"
 ]
}

 The dataset includes 58927 records from 67 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0279746-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.uqskyj
title: Occurrence Download

description: A dataset containing 147850 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is EOD – eBird Observation Dataset",
 "Geometry POLYGON((-61.93474 47.34124,-61.71117 47.34124,-61.71117 47.49645,-61.93474 47.49645,-61.93474 47.34124))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 147850 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0259928-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.pwf54p
title: Occurrence Download

description: A dataset containing 3 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Paramunna minituberculata Just & Wilson, 2004"
 ]
}

 The dataset includes 3 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0128114-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.tep26h
title: Occurrence Download

description: A dataset containing 5050 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is one of (Lygeum spartum Loefl. ex L., Lygeum spartum Loefl.)"
 ]
}

 The dataset includes 5050 records from 130 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0164403-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.g47udg
title: Occurrence Download

description: A dataset containing 1742 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Araucaria angustifolia (Bertol.) Kuntze"
 ]
}

 The dataset includes 1742 records from 179 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0113357-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.x8wpc7
title: Occurrence Download

description: A dataset containing 134 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (China, Chinese Taipei, Hong Kong)",
 "TaxonKey is Polygonia c-album (Linnaeus, 1758)"
 ]
}

 The dataset includes 134 records from 17 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0141008-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zbxdby
title: Occurrence Download

description: A dataset containing 22158 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Trichophorum alpinum (L.) Pers.",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "Year is greater than or equal to 1990",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
}

 The dataset includes 22158 records from 177 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0164402-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.r3ardc
title: Occurrence Download

description: A dataset listing the 16 species recorded in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Rhynchophorus ferrugineus"
 ]
}

 The dataset's 16 records were derived from 73 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021619-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ddyrpv
title: Occurrence Download

description: A dataset containing 1744941 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Asplenium"
 ]
}

 The dataset includes 1744941 records from 3131 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021522-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25810/4c3b-b819
title: World Newspaper Coverage of Climate Change or Global Warming, 2004-2026

description: The Media and Climate Change Observatory Data monitors 74 sources (across newspapers, radio and TV) in 38 countries in seven different regions around the world. Data is assembled by accessing archives through the Lexis Nexis, Proquest and Factiva databases via the University of Colorado libraries. More information may be found at: http://sciencepolicy.colorado.edu/icecaps/research/media_coverage/index.html. These data include Excel (.xlsx), CSV (.csv), and plain-text README files (.txt).
DOI: 10.5281/zenodo.12607190
title: AerialWaste

description: AerialWaste is a dataset for the discovery of illegal landfills. Illegal landfills from aerial images present a visual heterogeneity of the scenes in which waste dumps appear and present a diverse nature of the objects that compose a waste deposit. When observed from above waste dumps appear as complex arrangements of objects of different shapes, sizes, and orientations.

The dataset consists of more than 11,700 images from three different sources and contains annotations at different granularities:



Binary labels: images are classified based on the presence or absence of waste.

Multi-class multi-label: a subset of images is annotated based on the presence of specific waste objects.

Weakly-supervised localization: a subset of images is annotated with ground truth segmentation masks surrounding relevant waste objects.


Visit the Github page for scripts and instructions on how to use this dataset: https://github.com/rnt-pmi/AerialWaste

Visit the Dataset Page for more information: https://aerialwaste.org/

License

Creative Commons CC BY-NC-ND licensing scheme. The usage of Google Imagery must respect the Google Earth terms and conditions [https://about.google/brand-resource-center/products-and-services/geo-guidelines/].

Acknowledgements

This work was partially funded by the European Union’s Horizon Europe project PERIVALLON – Protecting the EuRopean terrItory from organised enVironmentAl crime through inteLLigent threat detectiON tools, under grant agreement no. 101073952.
DOI: 10.5281/zenodo.7034381
title: AerialWaste

description: AerialWaste is a dataset for the discovery of illegal landfills. Illegal landfills from aerial images present a visual heterogeneity of the scenes in which waste dumps appear and present a diverse nature of the objects that compose a waste deposit. When observed from above waste dumps appear as complex arrangements of objects of different shapes, sizes, and orientations.

The dataset consists of more than 11,700 images from three different sources and contains annotations at different granularities:



Binary labels: images are classified based on the presence or absence of waste.

Multi-class multi-label: a subset of images is annotated based on the presence of specific waste objects.

Weakly-supervised localization: a subset of images is annotated with ground truth segmentation masks surrounding relevant waste objects.


Visit the Github page for scripts and instructions on how to use this dataset: https://github.com/rnt-pmi/AerialWaste

Visit the Dataset Page for more information: https://aerialwaste.org/

License

Creative Commons CC BY-NC-ND licensing scheme. The usage of Google Imagery must respect the Google Earth terms and conditions [https://about.google/brand-resource-center/products-and-services/geo-guidelines/].

Acknowledgements

This work was partially funded by the European Union’s Horizon Europe project PERIVALLON – Protecting the EuRopean terrItory from organised enVironmentAl crime through inteLLigent threat detectiON tools, under grant agreement no. 101073952.
DOI: 10.25824/redu/oqoa6d
title: Optimization of tanfloc and PAC dosages for phosphorus removal in primary sewage treatment

description: The study aimed to evaluate the potential of combining the natural coagulant Tanfloc SG with the chemical coagulant polyaluminum chloride (PAC) for phosphorus removal in sanitary sewage treatment. Jar tests were performed in 1 L volumes, with a mixing configuration of 2 min of rapid mixing at 100 rpm, 20 min of slow mixing at 30 rpm, and a sedimentation time of 30 min. Preliminarily, the use of tanfloc (10-150 mg/L) and PAC (10-300 mg/L) were evaluated separately. Subsequently, a central composite rotational design (CCRD) was performed for the combination of tanfloc (factor X1) and PAC (factor X2). pH, turbidity, color, COD, total phosphorus, and total suspended solids (TSS) were evaluated according to Standard Methods (APHA, 2012).
DOI: 10.15468/dl.834gb9
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "Geometry POLYGON ((-26.86447566461795 -89.99999964996826, -26.86600446968951 -89.99999964995804, -26.867829996919056 -89.99999964994983, -26.86988205169494 -89.99999964994397, -26.872082142670497 -89.99999964994066, -26.87434550446695 -89.99999964994005, -26.87658522731563 -89.99999964994214, -26.878715519133692 -89.99999964994684, -26.880654236350658 -89.99999964995402, -26.88232715233934 -89.99999964996334, -26.883669947720243 -89.99999964997448, -26.884630921184932 -89.99999964998703, -26.88517301779809 -89.99999965000046, -26.885275347778332 -89.9999996500143, -26.884934384741932 -89.99999965002799, -26.884162722715192 -89.999999650041, -26.88299003513528 -89.99999965005284, -26.88146131207607 -89.99999965006307, -26.8796355136932 -89.99999965007127, -26.877582876083437 -89.99999965007713, -26.8753819795469 -89.99999965008045, -26.87311771195694 -89.99999965008108, -26.870877121087837 -89.99999965007898, -26.86874613093359 -89.99999965007427, -26.866806991783506 -89.9999996500671, -26.865133994098684 -89.99999965005776, -26.863791469576853 -89.9999996500466, -26.86283107863886 -89.99999965003408, -26.862289787726603 -89.99999965002063, -26.862188364048023 -89.99999965000679, -26.86253019467586 -89.99999964999311, -26.863302554864493 -89.99999964998011, -26.86447566461795 -89.99999964996826))",
 "KingdomKey is one of (Animalia, Fungi, Plantae)",
 "Year is one of (2016, 2017, 2018, 2019, 2020, 2021, 2022, 2023, 2024, 2025, 2026)",
 "Modified is greater than or equal to 2026-02-06"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016872-260129131611470/datasets/export for details.
DOI: 10.15468/dl.xzdbb5
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "Geometry POLYGON ((-26.863154473667883 -89.99999969371693, -26.864901591580935 -89.99999969370671, -26.86698746211669 -89.99999969369853, -26.869332761965538 -89.99999969369264, -26.871846612406202 -89.99999969368935, -26.874433342627526 -89.99999969368872, -26.876992755611997 -89.99999969369081, -26.879427118471227 -89.99999969369553, -26.88164256910007 -89.99999969370269, -26.883554289717992 -89.99999969371203, -26.8850887803323 -89.99999969372317, -26.886186659989967 -89.99999969373572, -26.88680646654219 -89.99999969374915, -26.886923431048054 -89.99999969376297, -26.88653381034771 -89.99999969377666, -26.88565198766827 -89.99999969378966, -26.884311866100692 -89.99999969380151, -26.88256485530544 -89.99999969381174, -26.880478630177446 -89.99999969381993, -26.878132569491036 -89.99999969382581, -26.875617666903597 -89.99999969382911, -26.873029753615388 -89.99999969382974, -26.870469206894068 -89.99999969382766, -26.868033931921182 -89.99999969382294, -26.865817930154005 -89.99999969381578, -26.863906102846112 -89.99999969380643, -26.862371966043803 -89.99999969379529, -26.861274848237525 -89.99999969378274, -26.86065609295601 -89.99999969376931, -26.860540312256955 -89.99999969375547, -26.860931066111004 -89.9999996937418, -26.861813800630806 -89.99999969372878, -26.863154473667883 -89.99999969371693))",
 "KingdomKey is one of (Animalia, Fungi, Plantae)",
 "Year is one of (2016, 2017, 2018, 2019, 2020, 2021, 2022, 2023, 2024, 2025, 2026)",
 "Modified is greater than or equal to 2026-02-06"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016870-260129131611470/datasets/export for details.
DOI: 10.15468/dl.hpt587
title: Occurrence Download

description: A dataset containing 28 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Pseudolmedia boliviana"
 ]
}

 The dataset includes 28 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016871-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.tux3yg
title: Occurrence Download

description: A dataset containing 7725 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Melampyrum arvense)",
 "Year is greater than or equal to 1900",
 "Geometry POLYGON ((8.643 46.99, 14.1 46.92, 14.43 50.75, 8.534 50.83, 8.643 46.99))",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is one of (Observation, Human Observation, Machine Observation, Material sample)"
 ]
}

 The dataset includes 7725 records from 25 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016873-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.1184/r1/30994327
title: Data for the manuscript titled "Smart Dura: a functional artificial dura for multimodal neural recording and modulation"

description: This repository holds the data and code necessary to reproduce the important results of the manuscript titled "<b>Smart Dura: a functional artificial dura for multimodal neural recording and modulation</b>"<br><br>For additional information please contact mchamanz@andrew.cmu.edu and azadehy@uw.edu
DOI: 10.1184/r1/30994327.v1
title: Data for the manuscript titled "Smart Dura: a functional artificial dura for multimodal neural recording and modulation"

description: This repository holds the data and code necessary to reproduce the important results of the manuscript titled "<b>Smart Dura: a functional artificial dura for multimodal neural recording and modulation</b>"<br><br>For additional information please contact mchamanz@andrew.cmu.edu and azadehy@uw.edu
DOI: 10.15468/dl.pyaem3
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "Geometry POLYGON ((-26.86447566461795 -89.99999964996826, -26.86600446968951 -89.99999964995804, -26.867829996919056 -89.99999964994983, -26.86988205169494 -89.99999964994397, -26.872082142670497 -89.99999964994066, -26.87434550446695 -89.99999964994005, -26.87658522731563 -89.99999964994214, -26.878715519133692 -89.99999964994684, -26.880654236350658 -89.99999964995402, -26.88232715233934 -89.99999964996334, -26.883669947720243 -89.99999964997448, -26.884630921184932 -89.99999964998703, -26.88517301779809 -89.99999965000046, -26.885275347778332 -89.9999996500143, -26.884934384741932 -89.99999965002799, -26.884162722715192 -89.999999650041, -26.88299003513528 -89.99999965005284, -26.88146131207607 -89.99999965006307, -26.8796355136932 -89.99999965007127, -26.877582876083437 -89.99999965007713, -26.8753819795469 -89.99999965008045, -26.87311771195694 -89.99999965008108, -26.870877121087837 -89.99999965007898, -26.86874613093359 -89.99999965007427, -26.866806991783506 -89.9999996500671, -26.865133994098684 -89.99999965005776, -26.863791469576853 -89.9999996500466, -26.86283107863886 -89.99999965003408, -26.862289787726603 -89.99999965002063, -26.862188364048023 -89.99999965000679, -26.86253019467586 -89.99999964999311, -26.863302554864493 -89.99999964998011, -26.86447566461795 -89.99999964996826))",
 "KingdomKey is one of (Animalia, Fungi, Plantae)",
 "Year is one of (2016, 2017, 2018, 2019, 2020, 2021, 2022, 2023, 2024, 2025, 2026)",
 "Modified is greater than or equal to 2026-02-06"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0016874-260129131611470/datasets/export for details.
DOI: 10.5281/zenodo.18508602
title: OPERAS Metrics Database

description: OPERAS Database Archive

Description

This archive contains a complete PostgreSQL database dump for OPERAS Metrics, a service that offers usage and impact information for published Open Access books. Designed with the nuanced needs of Social Sciences and Humanities in mind, OPERAS Metrics consolidates diverse data sources into a single, transparent interface. The database supports the aggregation of metrics not only from publisher websites but also from multiple sites where books are available, providing comprehensive impact assessment for SSH scholarly publications.

Database Structure

The database (operas_db) is organized in a hierarchical structure with strict dependency ordering:

Reference Tables:



continent: Geographic continental classifications

locale: Language and regional locale definitions

namespace: Metadata namespace classifications

source: Data source identifiers

type: Metric and data type definitions

version: Version tracking information


Dependent Tables:



country: Country data (depends on continent)

measure: Research assessment metrics and indicators (depends on namespace, source, type, version)

publisher: Publisher information

measure_description: Multilingual descriptions of measures (depends on measure and locale)

event: Event-based data linked to measures and countries (depends on measure and country)


Supporting Data:



doi_to_publisher: DOI prefix to publisher name mappings (includes dedicated CSV import)


Contents



database_creation.sh: Automated restoration script

170936/: Directory containing SQL files



schema.sql: Complete database schema with tables, constraints, and indexes

Individual .sql files for each table's data



prefix_publishers.csv: DOI prefix mappings for publisher identification
DOI: 10.5281/zenodo.18508603
title: OPERAS Metrics Database

description: OPERAS Database Archive

Description

This archive contains a complete PostgreSQL database dump for OPERAS Metrics, a service that offers usage and impact information for published Open Access books. Designed with the nuanced needs of Social Sciences and Humanities in mind, OPERAS Metrics consolidates diverse data sources into a single, transparent interface. The database supports the aggregation of metrics not only from publisher websites but also from multiple sites where books are available, providing comprehensive impact assessment for SSH scholarly publications.

Database Structure

The database (operas_db) is organized in a hierarchical structure with strict dependency ordering:

Reference Tables:



continent: Geographic continental classifications

locale: Language and regional locale definitions

namespace: Metadata namespace classifications

source: Data source identifiers

type: Metric and data type definitions

version: Version tracking information


Dependent Tables:



country: Country data (depends on continent)

measure: Research assessment metrics and indicators (depends on namespace, source, type, version)

publisher: Publisher information

measure_description: Multilingual descriptions of measures (depends on measure and locale)

event: Event-based data linked to measures and countries (depends on measure and country)


Supporting Data:



doi_to_publisher: DOI prefix to publisher name mappings (includes dedicated CSV import)


Contents



database_creation.sh: Automated restoration script

170936/: Directory containing SQL files



schema.sql: Complete database schema with tables, constraints, and indexes

Individual .sql files for each table's data



prefix_publishers.csv: DOI prefix mappings for publisher identification