cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.29818829.v1
title: Gen AI and Journalism: towards common principles

description: Three years after the launch of OpenAI’s ChatGPT saw generative AI threatening to become yet another major disruptor to the journalism industry, it remains neither its saviour nor its downfall. In Australia the journalism sector is still struggling to survive. It is still battling fractured audience bases and the flight of advertising revenue to digital platforms. Trust remains on a downward trajectory. And moreover, the known challenges of generative AI remain virtually unchanged – including those of bias, verification and hallucination. Generative AI undoubtedly offers opportunities to improve news-production efficiency and even the quality of journalism, through sophisticated tools to allow deeper research and more comprehensive examination of data. But it also poses increasingly complex challenges to the strategies used by media companies to ensure the information they produce remains trustworthy.  When we released our 2023 landmark report on the impact of generative AI on journalism, we found a significant degree of caution in the way newsrooms were thinking about the technology. The dominant approach was ‘test and learn’. Whilst some newsrooms were encouraging experimentation, all prohibited its use in any public-facing publication. Some had officially adopted generative AI to assist with research, particularly analysis and summarisation of large amounts of information and there was an optimism about the future possibilities generative AI could offer.  One year later, in late 2024 when we conducted interviews for this report, newsrooms were thinking differently. They remain cautious – even overly cautious – but some outward-facing uses have been deployed, particularly with synthetic voice in service journalism such as weather reporting and where articles are turned into voice recordings using AI. However, Australian newsrooms remain most comfortable with using AI to augment rather than automate production, and the majority of experimentation is still occurring in the back-end rather than audience-facing uses.  This 2nd report, generously funded by the Minderoo Foundation, brings together our research interviews with 13 news editors and six product leads from 14 news organisations conducted between August and November 2024, and in a day-long workshop conducted in collaboration with RMIT and the ARC Centre of Excellence for Automated Decision Making and Society. Some participants have chosen to remain anonymous.
DOI: 10.15468/dl.kmtkr8
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Ligia exotica",
 "Country is Argentina",
 "HasCoordinate is true"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022884-250802193616735/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jq7568
title: Occurrence Download

description: A dataset containing 89 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Ligia exotica",
 "Country is Mexico",
 "HasCoordinate is true"
 ]
}

 The dataset includes 89 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022885-250802193616735/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.g6p8f5
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Ligia exotica",
 "Country is New Zealand",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022886-250802193616735/datasets/export for details.
DOI: 10.15468/dl.zmgz7u
title: Occurrence Download

description: A dataset containing 3801 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Enicurus leschenaulti",
 "Country is China",
 "HasCoordinate is true"
 ]
}

 The dataset includes 3801 records from 16 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022883-250802193616735/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fzgrwc
title: Occurrence Download

description: A dataset containing 655 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Dicliptera peduncularis"
 ]
}

 The dataset includes 655 records from 45 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022888-250802193616735/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4f2q67
title: Occurrence Download

description: A dataset containing 29406 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Poecile sclateri)",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "License is one of (CC-BY 4.0, CC0 1.0)"
 ]
}

 The dataset includes 29406 records from 56 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022887-250802193616735/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.g9g5nh
title: Occurrence Download

description: A dataset containing 25258615 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Corvus brachyrhynchos)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 25258615 records from 122 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022862-250802193616735/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7349ay
title: Occurrence Download

description: A dataset containing 24668933 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Sturnus vulgaris)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 24668933 records from 5891 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022861-250802193616735/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25318/342500012025001-eng
title: Canada's Core Public Infrastructure Survey - Public Use Microdata Files

description: The Public Use Microdata Files for Canada's Core Public Infrastructure Survey provides statistical information on the inventory, condition, performance and asset management strategies of core public infrastructure assets owned or leased by various levels of the Canadian government.
DOI: 10.5281/zenodo.17049163
title: Atlas of Pediatric Acute Care Shapefiles
title: Pediatric emergency referral regions
title: Pediatric emergency service areas

description: The Atlas of Pediatric Acute Care encodes regions of common pediatric acute care utilization at two levels. Each region is composed of mutually exclusive sets of ZIP codes. These regions were generated from 2021-2022 Medicaid and Children's Health Insurance Program data. Pediatric emergency service areas (PESAs) are regions where children visit the same set of hospitals from home. Pediatric emergency referral regions (PERRs) are regions where children have common patterns of between-hospital referrals. This repository includes the shapefiles for PESAs, PERRs, and a ZIP-PESA-PERR crosswalk CSV file.

CITATION: Michelson KA, Skol AD, Graves JA, Remick KE, McMullen PD, Singamsetty N, Cory DK, Bucholz EM. Development of an Atlas for US Pediatric Acute Care. JAMA Pediatr. 2025 Oct 27:e254227. doi: 10.1001/jamapediatrics.2025.4227. PMID: 41143815
DOI: 10.5281/zenodo.17049164
title: Atlas of Pediatric Acute Care Shapefiles
title: Pediatric emergency referral regions
title: Pediatric emergency service areas

description: The Atlas of Pediatric Acute Care encodes regions of common pediatric acute care utilization at two levels. Each region is composed of mutually exclusive sets of ZIP codes. These regions were generated from 2021-2022 Medicaid and Children's Health Insurance Program data. Pediatric emergency service areas (PESAs) are regions where children visit the same set of hospitals from home. Pediatric emergency referral regions (PERRs) are regions where children have common patterns of between-hospital referrals. This repository includes the shapefiles for PESAs, PERRs, and a ZIP-PESA-PERR crosswalk CSV file.

CITATION: Michelson KA, Skol AD, Graves JA, Remick KE, McMullen PD, Singamsetty N, Cory DK, Bucholz EM. Development of an Atlas for US Pediatric Acute Care. JAMA Pediatr. 2025 Oct 27:e254227. doi: 10.1001/jamapediatrics.2025.4227. PMID: 41143815
DOI: 10.6084/m9.figshare.29085048
title: Additional file 2 of Cytauxzoon paradoxurus n. sp., a novel Cytauxzoon species identified in common palm civets in Singapore

description: Additional file 2. Dataset S1. Weight, sex and month of sampling of Cytauxzoon paradoxurus n. sp.-infected and non-infected civets.
DOI: 10.6084/m9.figshare.29085048.v1
title: Additional file 2 of Cytauxzoon paradoxurus n. sp., a novel Cytauxzoon species identified in common palm civets in Singapore

description: Additional file 2. Dataset S1. Weight, sex and month of sampling of Cytauxzoon paradoxurus n. sp.-infected and non-infected civets.
DOI: 10.15468/dl.nvti6u
title: Occurrence Download

description: A dataset containing 8 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is (Table 1) Proportion of Toxoplasma gondii seropositive arctic foxes (Alopex lagopus) by age group and geographic area"
 ]
}

 The dataset includes 8 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002567-171124123535762/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bsy4pk
title: Occurrence Download

description: A dataset containing 568 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Cypseloides lemosi Eisenmann & Lehmann, 1962"
 ]
}

 The dataset includes 568 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0320448-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qyjcqv
title: Occurrence Download

description: A dataset containing 1558283779 species occurrences available in GBIF matching the query:
{ }

 The dataset includes 1558283779 records from 18106 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000249-171107215919691/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2pn8y8
title: Occurrence Download

description: A dataset containing 60869 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 (Chloroceryle americana)",
 "Country is one of (Bermuda, Canada, Greenland, Saint Pierre and Miquelon, United States of America)"
 ]
}

 The dataset includes 60869 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0080846-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.z86hsw
title: Occurrence Download

description: A dataset containing 1640 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Trichonymphea"
 ]
}

 The dataset includes 1640 records from 50 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010799-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.12729557
title: ROR Data

description: Data dump from the Research Organization Registry (ROR), a community-led registry             of open identifiers for research organizations.


Release v1.49 contains ROR IDs and metadata             for 110,010 research organizations in JSON and CSV format, in schema versions 1 and 2. This includes the addition of 264 new records and metadata updates to 705 existing records.            See the release notes.

             
Data format             
             Beginning with release v1.45 on 11 April 2024, data releases contain JSON and CSV files             formatted according to both              schema v1 and schema v2.             v2 files have `_schema_v2`  appended to the end of the filename, ex v1.45-2024-04-11-ror-data_schema_v2.json.             In order to maintain compatibility with previous releases,             v1 files have no version information in the filename, ex v1.45-2024-04-11-ror-data.json                          
             For both versions, the CSV file contains a subset of fields from the JSON file, some of which have been flattened for easier parsing.             As ROR records and the ROR schema are maintained in JSON, CSVs are for convenience only. JSON is the format of record.                          
Release versioning             
             Beginning with v1.45 in April 2024, ROR has introduced schema versioning, with files available in             schema v1            and schema v2.             The ROR API default version, however, remains v1 and will be changed to v2 in April 2025.             To align with the API, the data dump major version will remain 1 until the API default version is changed to v2.             At that time, the data dump major version will be incremented to 2 per below.                          
             Data releases are versioned as follows:             

             

	             
Minor versions (ex 1.1, 1.2, 1.3):              Contain changes to data, such as a new records and updates to existing records. No changes to the data model/structure.            
	             
Patch versions (ex 1.0.1):              Used infrequently to correct errors in a release. No changes to the data model/structure.             
	             
Major versions (ex 1.x, 2.x, 3.x):              Contains changes to data model/structure, as well as the data itself. Major versions will be released with significant advance notice.             
             

             
For convenience, the date is also include in the release file name, ex: v1.0-2022-03-15-ror-data.zip.             
             The ROR data dump is provided under the              Creative Commons CC0 Public Domain Dedication. Location data in ROR comes from GeoNames and is licensed under a             Creative Commons Attribution 4.0 license.
DOI: 10.5281/zenodo.13770444
title: ROR Data

description: Data dump from the Research Organization Registry (ROR), a community-led registry             of open identifiers for research organizations.


Release v1.52 contains ROR IDs and metadata             for 110,723 research organizations in JSON and CSV format, in schema versions 1 and 2. This includes the addition of 239 new records and metadata updates to 602 existing records.            See the release notes.

             
Data format             
             Beginning with release v1.45 on 11 April 2024, data releases contain JSON and CSV files             formatted according to both              schema v1 and schema v2.             v2 files have `_schema_v2`  appended to the end of the filename, ex v1.45-2024-04-11-ror-data_schema_v2.json.             In order to maintain compatibility with previous releases,             v1 files have no version information in the filename, ex v1.45-2024-04-11-ror-data.json                          
             For both versions, the CSV file contains a subset of fields from the JSON file, some of which have been flattened for easier parsing.             As ROR records and the ROR schema are maintained in JSON, CSVs are for convenience only. JSON is the format of record.                          
Release versioning             
             Beginning with v1.45 in April 2024, ROR has introduced schema versioning, with files available in             schema v1            and schema v2.             The ROR API default version, however, remains v1 and will be changed to v2 in April 2025.             To align with the API, the data dump major version will remain 1 until the API default version is changed to v2.             At that time, the data dump major version will be incremented to 2 per below.                          
             Data releases are versioned as follows:             

             

	             
Minor versions (ex 1.1, 1.2, 1.3):              Contain changes to data, such as a new records and updates to existing records. No changes to the data model/structure.            
	             
Patch versions (ex 1.0.1):              Used infrequently to correct errors in a release. No changes to the data model/structure.             
	             
Major versions (ex 1.x, 2.x, 3.x):              Contains changes to data model/structure, as well as the data itself. Major versions will be released with significant advance notice.             
             

             
For convenience, the date is also include in the release file name, ex: v1.0-2022-03-15-ror-data.zip.             
             The ROR data dump is provided under the              Creative Commons CC0 Public Domain Dedication. Location data in ROR comes from GeoNames and is licensed under a             Creative Commons Attribution 4.0 license.
DOI: 10.5281/zenodo.13932083
title: ROR Data

description: Data dump from the Research Organization Registry (ROR), a community-led registry             of open identifiers for research organizations.


Release v1.53 contains ROR IDs and metadata             for 111,068 research organizations in JSON and CSV format, in schema versions 1 and 2. This includes the addition of 345 new records and metadata updates to 369 existing records.            See the release notes.

             
Data format             
             Beginning with release v1.45 on 11 April 2024, data releases contain JSON and CSV files             formatted according to both              schema v1 and schema v2.             v2 files have `_schema_v2`  appended to the end of the filename, ex v1.45-2024-04-11-ror-data_schema_v2.json.             In order to maintain compatibility with previous releases,             v1 files have no version information in the filename, ex v1.45-2024-04-11-ror-data.json                          
             For both versions, the CSV file contains a subset of fields from the JSON file, some of which have been flattened for easier parsing.             As ROR records and the ROR schema are maintained in JSON, CSVs are for convenience only. JSON is the format of record.                          
Release versioning             
             Beginning with v1.45 in April 2024, ROR has introduced schema versioning, with files available in             schema v1            and schema v2.             The ROR API default version, however, remains v1 and will be changed to v2 in April 2025.             To align with the API, the data dump major version will remain 1 until the API default version is changed to v2.             At that time, the data dump major version will be incremented to 2 per below.                          
             Data releases are versioned as follows:             

             

	             
Minor versions (ex 1.1, 1.2, 1.3):              Contain changes to data, such as a new records and updates to existing records. No changes to the data model/structure.            
	             
Patch versions (ex 1.0.1):              Used infrequently to correct errors in a release. No changes to the data model/structure.             
	             
Major versions (ex 1.x, 2.x, 3.x):              Contains changes to data model/structure, as well as the data itself. Major versions will be released with significant advance notice.             
             

             
For convenience, the date is also include in the release file name, ex: v1.0-2022-03-15-ror-data.zip.             
             The ROR data dump is provided under the              Creative Commons CC0 Public Domain Dedication. Location data in ROR comes from GeoNames and is licensed under a             Creative Commons Attribution 4.0 license.
DOI: 10.5281/zenodo.14020449
title: ROR Data

description: Data dump from the Research Organization Registry (ROR), a community-led registry             of open identifiers for research organizations.


Release v1.55 contains ROR IDs and metadata             for 111,325 research organizations in JSON and CSV format, in schema versions 1 and 2. This includes the addition of 257 new records and metadata updates to 462 existing records.            See the release notes.

             
Data format             
             Beginning with release v1.45 on 11 April 2024, data releases contain JSON and CSV files             formatted according to both              schema v1 and schema v2.             v2 files have `_schema_v2`  appended to the end of the filename, ex v1.45-2024-04-11-ror-data_schema_v2.json.             In order to maintain compatibility with previous releases,             v1 files have no version information in the filename, ex v1.45-2024-04-11-ror-data.json                          
             For both versions, the CSV file contains a subset of fields from the JSON file, some of which have been flattened for easier parsing.             As ROR records and the ROR schema are maintained in JSON, CSVs are for convenience only. JSON is the format of record.                          
Release versioning             
             Beginning with v1.45 in April 2024, ROR has introduced schema versioning, with files available in             schema v1            and schema v2.             The ROR API default version, however, remains v1 and will be changed to v2 in April 2025.             To align with the API, the data dump major version will remain 1 until the API default version is changed to v2.             At that time, the data dump major version will be incremented to 2 per below.                          
             Data releases are versioned as follows:             

             

	             
Minor versions (ex 1.1, 1.2, 1.3):              Contain changes to data, such as a new records and updates to existing records. No changes to the data model/structure.            
	             
Patch versions (ex 1.0.1):              Used infrequently to correct errors in a release. No changes to the data model/structure.             
	             
Major versions (ex 1.x, 2.x, 3.x):              Contains changes to data model/structure, as well as the data itself. Major versions will be released with significant advance notice.             
             

             
For convenience, the date is also include in the release file name, ex: v1.0-2022-03-15-ror-data.zip.             
             The ROR data dump is provided under the              Creative Commons CC0 Public Domain Dedication. Location data in ROR comes from GeoNames and is licensed under a             Creative Commons Attribution 4.0 license.