cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.25549/independent-c69-38498
title: Card files (closed). A-L claims (GX 16283 - GX 16696), 1989

description: Collection of claims filed against the LAPD with regards ranging from wrongful death to violation of civil rights, etc., 1989. PART OF A SERIES: The series includes materials related to the work product of Price Waterhouse, whose staff investigated citizen complaints and civil litigation claims involving the LAPD. Included are claims reports, claims analyses, card files, and arbitration reports; summaries of 83 selected civil litigation cases; materials from the personnel files of LAPD officers named in these cases, as well as documents listing their subsequent penalties; and statistics that break complaints down according to a variety of criteria, including race, gender, and police division.
DOI: 10.25549/independent-c69-42461
title: Claims (GX 14638 - GX 15135), 1988

description: Collection of claims filed against the LAPD with regards ranging from wrongful death to violation of civil rights, etc., 1988. PART OF A SERIES: The series includes materials related to the work product of Price Waterhouse, whose staff investigated citizen complaints and civil litigation claims involving the LAPD. Included are claims reports, claims analyses, card files, and arbitration reports; summaries of 83 selected civil litigation cases; materials from the personnel files of LAPD officers named in these cases, as well as documents listing their subsequent penalties; and statistics that break complaints down according to a variety of criteria, including race, gender, and police division.
DOI: 10.15468/dl.bnwsw1
title: Occurrence Download

description: A dataset containing 6232 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is COMARGIS: Information System on Continental Margin Ecosystems"
 ]
}

 The dataset includes 6232 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002237-150528172251762/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.utrfsd
title: Occurrence Download

description: A dataset containing 1247 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is South America",
 "Country is Brazil",
 "DatasetKey is one of (Museu Paraense Emílio Goeldi - Mastozoology Collection, Museu Paraense Emílio Goeldi - Ichthyology Collection, FNJV - Fonoteca Neotropical Jacques Vielliard, Coleção Zoológica da Universidade Federal de Mato Grosso do Sul - Amphibia (ZUFMS-AMP), MBML-Anfibios - Coleção de Anfíbios MBML, Museu Paraense Emílio Goeldi - Amphibia Collection, ZUEC-AMP - Coleção de Anfíbios do Museu de Zoologia da UNICAMP)",
 "PublishingOrg is one of (d073b448-6b80-4364-8c38-18d08b88797f, b035747d-16a4-46e1-b599-599d43e1acc9, 4f1aa16c-ac1f-4e25-95fa-70bd71b7a0b4, e6c2fab8-8716-48b8-ae62-dacbc73b35b5, 667644b9-7b93-4892-80c7-c4271735c515, bc092ff0-02e4-11dc-991f-b8a03c50a862, f5fd374b-89cb-4ab6-b3eb-794c65f232c3)",
 "TaxonKey is Physalaemus cuvieri Fitzinger, 1826"
 ]
}

 The dataset includes 1247 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0051781-231002084531237/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25549/independent-c69-42488
title: Claims (GX 14638 - GX 15135), 1988

description: Collection of claims filed against the LAPD with regards ranging from wrongful death to violation of civil rights, etc., 1988. PART OF A SERIES: The series includes materials related to the work product of Price Waterhouse, whose staff investigated citizen complaints and civil litigation claims involving the LAPD. Included are claims reports, claims analyses, card files, and arbitration reports; summaries of 83 selected civil litigation cases; materials from the personnel files of LAPD officers named in these cases, as well as documents listing their subsequent penalties; and statistics that break complaints down according to a variety of criteria, including race, gender, and police division.
DOI: 10.25549/independent-c69-42584
title: Claims (GX 14638 - GX 15135), 1988

description: Collection of claims filed against the LAPD with regards ranging from wrongful death to violation of civil rights, etc., 1988. PART OF A SERIES: The series includes materials related to the work product of Price Waterhouse, whose staff investigated citizen complaints and civil litigation claims involving the LAPD. Included are claims reports, claims analyses, card files, and arbitration reports; summaries of 83 selected civil litigation cases; materials from the personnel files of LAPD officers named in these cases, as well as documents listing their subsequent penalties; and statistics that break complaints down according to a variety of criteria, including race, gender, and police division.
DOI: 10.15468/dl.rfl1t2
title: Occurrence Download

description: A dataset containing 1783 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Panthera onca (Linnaeus, 1758)"
 ]
}

 The dataset includes 1783 records from 94 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002237-150615163101818/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25549/independent-c69-42509
title: Claims (GX 14638 - GX 15135), 1988

description: Collection of claims filed against the LAPD with regards ranging from wrongful death to violation of civil rights, etc., 1988. PART OF A SERIES: The series includes materials related to the work product of Price Waterhouse, whose staff investigated citizen complaints and civil litigation claims involving the LAPD. Included are claims reports, claims analyses, card files, and arbitration reports; summaries of 83 selected civil litigation cases; materials from the personnel files of LAPD officers named in these cases, as well as documents listing their subsequent penalties; and statistics that break complaints down according to a variety of criteria, including race, gender, and police division.
DOI: 10.25549/independent-c69-42481
title: Claims (GX 14638 - GX 15135), 1988

description: Collection of claims filed against the LAPD with regards ranging from wrongful death to violation of civil rights, etc., 1988. PART OF A SERIES: The series includes materials related to the work product of Price Waterhouse, whose staff investigated citizen complaints and civil litigation claims involving the LAPD. Included are claims reports, claims analyses, card files, and arbitration reports; summaries of 83 selected civil litigation cases; materials from the personnel files of LAPD officers named in these cases, as well as documents listing their subsequent penalties; and statistics that break complaints down according to a variety of criteria, including race, gender, and police division.
DOI: 10.6084/m9.figshare.24268753.v2
title: CETD, a global compound events detection and visualisation toolbox and dataset

description: Compound events (CEs) are attracting increased attention due to their significant societal and ecological impacts. However, their inherent complexity can pose challenges for climate scientists and practitioners, highlighting the need for a more approachable and intuitive framework for detecting and visualising CEs. Here we introduce a Compound Events Toolbox and Dataset (CETD), which provides the first integrated, interactive and extensible platform for CEs detection and visualisation. Employing observations, reanalysis, and model simulations, CETD can quantify the frequency, duration, severity and start/end date of multiple climatic CE types: multivariate, sequential and concurrent events. It can analyse CEs often linked to severe impacts on human health, wildfires, and air pollution, such as hot-dry, wet-windy, and hot-dry-stagnation. To validate the performance of CETD, we conduct statistics for several historical high-impact events, such as the 2019 Australian wildfires and the 2022 European heatwaves. The accessibility and extensibility of CETD will benefit the broader community through better understanding and preparedness of the risks and challenges of CEs in the warming world.
DOI: 10.15468/dl.76x7zq
title: Occurrence Download

description: A dataset containing 18106462 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Lepidoptera"
 ]
}

 The dataset includes 18106462 records from 1263 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002237-160311141623029/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14931105
title: Multiple sequence alignments of lichenicolous tremellalean fungi obtained from Pertusaria lichens

description: These two files contain two multiple alignments, edited with MAFFT and Aliview. The DNA sequences are supposedly tremellalean fungi from the ITS2 region and were extracted from Pertusaria lichens. Both datasets also include tremellalean and non-tremellalean reference sequences, in addition to an outgroup.
DOI: 10.5281/zenodo.14931106
title: Multiple sequence alignments of lichenicolous tremellalean fungi obtained from Pertusaria lichens

description: These two files contain two multiple alignments, edited with MAFFT and Aliview. The DNA sequences are supposedly tremellalean fungi from the ITS2 region and were extracted from Pertusaria lichens. Both datasets also include tremellalean and non-tremellalean reference sequences, in addition to an outgroup.
DOI: 10.21227/5wm7-gw84
title: Track data

description: The ADS-B track data, downloaded from the open Internet, contains four aircraft targets, namely B737, C17-1, C17-2, E35L, each target contains 110 complete tracks, totaling more than 100,000 track points. The data sets of 4 aircraft targets were randomly divided into training sets, verification sets and test sets according to the ratio of 8:1:1. The track used for training in the experiment is stored in the form of track points, using UTF-8 encoding, and each line corresponds to a track point at one time, the contents are respectively time, longitude, latitude, altitude, speed, heading and climb. All data is stored in txt format.
DOI: 10.15468/dl.xde2sp
title: Occurrence Download

description: A dataset containing 2796 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Colombia",
 "TaxonKey is Viruses"
 ]
}

 The dataset includes 2796 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000141-250226125047203/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rb2rhg
title: Occurrence Download

description: A dataset containing 134 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Ecuador",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "PublishingOrg is one of (90fd6680-349f-11d8-aa2d-b8a03c50a862, 8e1a97a0-3ca8-11d9-8439-b8a03c50a862, 33d232b5-5cc2-4521-8bd6-121c5bb41c32, ef807e08-c954-487f-9e70-3cc75f173812, d0e01e0c-7e8c-49aa-aeed-15fab7dfee46, 6ba9a8cc-513a-4a51-bf93-6f5de8040a96, 8367b74f-82fa-420e-babe-ad53c3df0892, 485ff490-e3b7-11db-9acc-b8a03c50a862, bc092ff0-02e4-11dc-991f-b8a03c50a862)",
 "TaxonKey is Dysphania ambrosioides (L.) Mosyakin & Clemants"
 ]
}

 The dataset includes 134 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000134-250226125047203/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.us5697
title: Occurrence Download

description: A dataset containing 4 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Asia",
 "Country is Indonesia",
 "Geometry POLYGON((106.72452 -6.55857,106.72494 -6.55932,106.72569 -6.55868,106.72527 -6.55857,106.72452 -6.55857))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year 2020-2025"
 ]
}

 The dataset includes 4 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000142-250226125047203/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2zpf8t
title: Occurrence Download

description: A dataset containing 12242410 species occurrences available in GBIF matching the query:
{
 "Country" : [
 "is Ecuador"
 ]
}

 The dataset includes 12242410 records from 1999 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000114-250226125047203/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14986478
title: CMIP6 input data usage information for IPCC WGI AR6 figure 9.12

description: The record contains information on input dataset usage and citation information from the WCRP Coupled Model Intercomparison Project Phase 6 (CMIP6) for the generation of figure 9.12 of the Sixth Assessment Report of Working Group I of the Intergovernmental Panel on Climate Change (IPCC AR6 WGI). CMIP6 data that were used as input to this figure follow the Data Reference Syntax. Persistent Identifiers (PIDs) for data identification (provenance) are available for individual datasets as Handle IDs. DOIs for data citation are available on the following dataset collections: CMIP6 DOIs contain all datasets provided by an Earth System model to a CMIP6 experiment. The data subsets of CMIP6 dataset collections used in the IPCC AR6 WGI have DOIs at this granularity of a model contribution to an experiment. The AR6 subset DOIs are included because they reside in a long-term preservation archive hosted by the IPCC Data Distribution Centre (DDC).

The uploaded human-readable csv file provides a list of datasets/Handle IDs used for the generation of this figure grouped by the corresponding dataset collections they belong to. The machine-actionable json-ld file describes the record as Complex Citation Object (see Agarwal et al., 2024, https://doi.org/10.5281/zenodo.14106602) in a preliminary standard, using the following vocabulary to specify the different functions of the contained Linked Digital Objects: Credit (input dataset collection to be cited/to which credit is to be assigned), Provenance (dataset contributing information to the generation of the DataProduct), archivedAt (dataset collection with long-term preservation), DigitalDocument (referenced papers containing further information), DataProduct (generated final dataset), ImageObject (visualization of the DataProduct), SoftwareSourceCode (software applied to generate the DataProduct), Chapter (IPCC AR6 WGI chapter in which the DataProduct is used/referenced).

Use and cite this record when referring to the generation of IPCC WGI AR6 figure 9.12.
DOI: 10.5281/zenodo.14986479
title: CMIP6 input data usage information for IPCC WGI AR6 figure 9.12

description: The record contains information on input dataset usage and citation information from the WCRP Coupled Model Intercomparison Project Phase 6 (CMIP6) for the generation of figure 9.12 of the Sixth Assessment Report of Working Group I of the Intergovernmental Panel on Climate Change (IPCC AR6 WGI). CMIP6 data that were used as input to this figure follow the Data Reference Syntax. Persistent Identifiers (PIDs) for data identification (provenance) are available for individual datasets as Handle IDs. DOIs for data citation are available on the following dataset collections: CMIP6 DOIs contain all datasets provided by an Earth System model to a CMIP6 experiment. The data subsets of CMIP6 dataset collections used in the IPCC AR6 WGI have DOIs at this granularity of a model contribution to an experiment. The AR6 subset DOIs are included because they reside in a long-term preservation archive hosted by the IPCC Data Distribution Centre (DDC).

The uploaded human-readable csv file provides a list of datasets/Handle IDs used for the generation of this figure grouped by the corresponding dataset collections they belong to. The machine-actionable json-ld file describes the record as Complex Citation Object (see Agarwal et al., 2024, https://doi.org/10.5281/zenodo.14106602) in a preliminary standard, using the following vocabulary to specify the different functions of the contained Linked Digital Objects: Credit (input dataset collection to be cited/to which credit is to be assigned), Provenance (dataset contributing information to the generation of the DataProduct), archivedAt (dataset collection with long-term preservation), DigitalDocument (referenced papers containing further information), DataProduct (generated final dataset), ImageObject (visualization of the DataProduct), SoftwareSourceCode (software applied to generate the DataProduct), Chapter (IPCC AR6 WGI chapter in which the DataProduct is used/referenced).

Use and cite this record when referring to the generation of IPCC WGI AR6 figure 9.12.
DOI: 10.5281/zenodo.14986645
title: The Role of Social Media in Deepfake Spread and Misinformation Mitigation

description: Abstract—Advancements in artificial intelligence (AI) have significantly impacted information dissemination on social media, particularly increasing exposure to deepfakes and fake news. This study aims to analyze how social media news use and instantaneous sharing of news contribute to inadvertent deepfake sharing. Additionally, it explores the role of deepfake exposure in increasing the risk of misinformation spread. To mitigate these risks, the study examines strategies such as authenticating news before sharing and implementing both active and passive corrective actions against fake news. The findings are expected to provide insights into how individuals can be more cautious in filtering information on social media and how mitigation measures can help reduce the unintentional spread of deepfakes. Furthermore, this study contributes to a broader understanding of the role of social media in shaping public perception of AI and digital news. By identifying key factors influencing the spread of misinformation, the research highlights the need for digital literacy and proactive measures to ensure responsible information sharing in the digital age.
DOI: 10.5281/zenodo.14986646
title: The Role of Social Media in Deepfake Spread and Misinformation Mitigation

description: Abstract—Advancements in artificial intelligence (AI) have significantly impacted information dissemination on social media, particularly increasing exposure to deepfakes and fake news. This study aims to analyze how social media news use and instantaneous sharing of news contribute to inadvertent deepfake sharing. Additionally, it explores the role of deepfake exposure in increasing the risk of misinformation spread. To mitigate these risks, the study examines strategies such as authenticating news before sharing and implementing both active and passive corrective actions against fake news. The findings are expected to provide insights into how individuals can be more cautious in filtering information on social media and how mitigation measures can help reduce the unintentional spread of deepfakes. Furthermore, this study contributes to a broader understanding of the role of social media in shaping public perception of AI and digital news. By identifying key factors influencing the spread of misinformation, the research highlights the need for digital literacy and proactive measures to ensure responsible information sharing in the digital age.
DOI: 10.5281/zenodo.14986474
title: CMIP6 input data usage information for IPCC WGI AR6 figure 9.10

description: The record contains information on input dataset usage and citation information from the WCRP Coupled Model Intercomparison Project Phase 6 (CMIP6) for the generation of figure 9.10 of the Sixth Assessment Report of Working Group I of the Intergovernmental Panel on Climate Change (IPCC AR6 WGI). CMIP6 data that were used as input to this figure follow the Data Reference Syntax. Persistent Identifiers (PIDs) for data identification (provenance) are available for individual datasets as Handle IDs. DOIs for data citation are available on the following dataset collections: CMIP6 DOIs contain all datasets provided by an Earth System model to a CMIP6 experiment. The data subsets of CMIP6 dataset collections used in the IPCC AR6 WGI have DOIs at this granularity of a model contribution to an experiment. The AR6 subset DOIs are included because they reside in a long-term preservation archive hosted by the IPCC Data Distribution Centre (DDC).

The uploaded human-readable csv file provides a list of datasets/Handle IDs used for the generation of this figure grouped by the corresponding dataset collections they belong to. The machine-actionable json-ld file describes the record as Complex Citation Object (see Agarwal et al., 2024, https://doi.org/10.5281/zenodo.14106602) in a preliminary standard, using the following vocabulary to specify the different functions of the contained Linked Digital Objects: Credit (input dataset collection to be cited/to which credit is to be assigned), Provenance (dataset contributing information to the generation of the DataProduct), archivedAt (dataset collection with long-term preservation), DigitalDocument (referenced papers containing further information), DataProduct (generated final dataset), ImageObject (visualization of the DataProduct), SoftwareSourceCode (software applied to generate the DataProduct), Chapter (IPCC AR6 WGI chapter in which the DataProduct is used/referenced).

Use and cite this record when referring to the generation of IPCC WGI AR6 figure 9.10.
DOI: 10.5281/zenodo.14986475
title: CMIP6 input data usage information for IPCC WGI AR6 figure 9.10

description: The record contains information on input dataset usage and citation information from the WCRP Coupled Model Intercomparison Project Phase 6 (CMIP6) for the generation of figure 9.10 of the Sixth Assessment Report of Working Group I of the Intergovernmental Panel on Climate Change (IPCC AR6 WGI). CMIP6 data that were used as input to this figure follow the Data Reference Syntax. Persistent Identifiers (PIDs) for data identification (provenance) are available for individual datasets as Handle IDs. DOIs for data citation are available on the following dataset collections: CMIP6 DOIs contain all datasets provided by an Earth System model to a CMIP6 experiment. The data subsets of CMIP6 dataset collections used in the IPCC AR6 WGI have DOIs at this granularity of a model contribution to an experiment. The AR6 subset DOIs are included because they reside in a long-term preservation archive hosted by the IPCC Data Distribution Centre (DDC).

The uploaded human-readable csv file provides a list of datasets/Handle IDs used for the generation of this figure grouped by the corresponding dataset collections they belong to. The machine-actionable json-ld file describes the record as Complex Citation Object (see Agarwal et al., 2024, https://doi.org/10.5281/zenodo.14106602) in a preliminary standard, using the following vocabulary to specify the different functions of the contained Linked Digital Objects: Credit (input dataset collection to be cited/to which credit is to be assigned), Provenance (dataset contributing information to the generation of the DataProduct), archivedAt (dataset collection with long-term preservation), DigitalDocument (referenced papers containing further information), DataProduct (generated final dataset), ImageObject (visualization of the DataProduct), SoftwareSourceCode (software applied to generate the DataProduct), Chapter (IPCC AR6 WGI chapter in which the DataProduct is used/referenced).

Use and cite this record when referring to the generation of IPCC WGI AR6 figure 9.10.