cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.jy6yau
title: Occurrence Download

description: A dataset containing 5074 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Cardiospermum grandiflorum Sw.)",
 "BasisOfRecord is one of (Specimen, Human Observation, Observation, Living Specimen, Machine Observation, Literature Occurrence)",
 "Geometry POLYGON((-180 -90,180 -90,180 90,-180 90,-180 -90))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1945"
 ]
}

 The dataset includes 5074 records from 230 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006997-250227182400228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25592/uhhfdm.16969
title: QLK Subkorpus Queere Tiere

description: The sub-corpus "Queere Tiere" is part of the project "QLK - Queerlinguistisches Korpus". This is a one-year pilot project funded by the Equal Opportunities Fund (Universität Hamburg). It serves to create a corpus with queer content as a research resource for students and researchers and is currently being continued by other projects.

<br>
The sub-corpus "Queere Tiere" contains texts that thematize "queer" animals in various ways, e.g., animals that exhibit same-sex sexual behaviour or do not fit into a binary sex/gender model. The texts are taken from freely available online sources. These are mainly journalistic and (popular) scientific texts as well as press releases.

The sub-corpus was created manually and content-led. For further information, please contact the person responsible.
DOI: 10.25592/uhhfdm.14437
title: QLK Subkorpus Queere Tiere

description: The sub-corpus "Queere Tiere" is part of the project "QLK - Queerlinguistisches Korpus". This is a one-year pilot project funded by the Equal Opportunities Fund (Universität Hamburg). It serves to create a corpus with queer content as a research resource for students and researchers and is currently being continued by other projects.

<br>
The sub-corpus "Queere Tiere" contains texts that thematize "queer" animals in various ways, e.g., animals that exhibit same-sex sexual behaviour or do not fit into a binary sex/gender model. The texts are taken from freely available online sources. These are mainly journalistic and (popular) scientific texts as well as press releases.

The sub-corpus was created manually and content-led. For further information, please contact the person responsible.
DOI: 10.15468/dl.fu79ka
title: Occurrence Download

description: A dataset containing 128 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Lockhartia imbricata (Lam.) Hoehne"
 ]
}

 The dataset includes 128 records from 28 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007048-250227182430271/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.28524053
title: <b>The Prevalence Of Intraventricular Hemorrhage And Its Related Risk Factors Among Preterm Neonates</b>

description: <b>Introduction:</b>Intraventricular hemorrhage (IVH) is a serious concern for preterm infants and can predispose such infants to brain injury and poor neurodevelopmental outcomes.<b>Aim:</b>The present study aimed to determine the frequency of IVH and its risk factors in the premature newborns admitted to the Neonatal Intensive Care Unit (NICU). <b>Methodology:</b>This cross-sectional study involved 201 preterm neonates admitted at Khobar, University Hospital, Saudi Arabia over a period of 7 years (from 2016 to 2023). These neonates were diagnosed by cranial ultrasound. IVH was classified into four grades based on Papile classification. The frequency of IVH was compared across various attributing factors i.e., gestational age at delivery, gender, birth weight, mode of delivery, and maternal antenatal steroids.<b>Results</b>Two hundred and one patients were analyzed (male 50.7% vs. female 49.3%). 51.2% had a gestational age of 29 weeks or less. 54.2% had a birth weight of ≤1200g. The incidence of IVH in a 7-year duration was 41.8%, with stage 1 (41.7%) and stage 2 (34.5%) being the most common IVH stages. Multivariate regression analysis revealed that CHD, seizure, and ROP were identified as the significant predictors of IVH among preterm infants.<b>Conclusion:</b>IVH in premature infants remains a complex and delicate issue in neonatology. An integrated approach covering both prevention and treatment is essential to minimize the negative impact of this complication on the neurological development of premature infants.
DOI: 10.5285/b15d7894-f97d-487a-9943-a792ba71256d
title: Field, petrographical and geochemical data collected from Asbian and Brigantian strata from the Derbyshire Platform, UK

description: Field, petrographical and geochemical data collected from Asbian and Brigantian strata from the Derbyshire Platform, UK. Derbyshire Platform, ranging from Castleton (SK15106 83079) - Buxton (SK 05781 73182) - Matlock Bath (SK 29454 57924) / Wirksworth (SK28696 53997) area
Data includes:
Cavern size and morphometrics
Transmitted light, cathodoluminescence and SEM images of calcite cements filling hypogene voids Geochemical data (stable and clumped isotopes, trace element concentrations) of calcite cements filling hypogene voids
Data collected as part of NERC project NE/W000970/1, Hypogene karst: genesis and implications to optimisation of low enthalpy energy resources.
DOI: 10.15468/dl.3p8mt7
title: Occurrence Download

description: A dataset containing 315 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is South America",
 "Country is Chile",
 "Geometry POLYGON((-70.5991 -33.25618,-70.5933 -33.30433,-70.54534 -33.32002,-70.51708 -33.30168,-70.51342 -33.26594,-70.53972 -33.24383,-70.5991 -33.25618))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Animalia",
 "Year 2015-2025"
 ]
}

 The dataset includes 315 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007049-250227182430271/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ahtw6z
title: Occurrence Download

description: A dataset containing 107 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Europe",
 "Geometry POLYGON((8.65374 54.0153,8.99036 53.8053,9.188 54.28706,8.98727 54.79662,8.77418 54.82751,8.72786 55.05913,8.72168 55.4081,8.138 56.34384,7.9527 56.32531,7.85388 55.47295,8.40977 54.37353,8.65374 54.0153))",
 "TaxonKey is Zostera marina L."
 ]
}

 The dataset includes 107 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007000-250227182400228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7a8wg5
title: Occurrence Download

description: A dataset containing 1640 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Carduus platypus Lange)",
 "BasisOfRecord is one of (Specimen, Human Observation, Observation, Living Specimen, Machine Observation, Literature Occurrence)",
 "Geometry POLYGON((-180 -90,180 -90,180 90,-180 90,-180 -90))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1945"
 ]
}

 The dataset includes 1640 records from 34 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007051-250227182430271/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.nw2gt6
title: Occurrence Download

description: A dataset containing 619 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "TaxonKey is Carex parvula O.Yano"
 ]
}

 The dataset includes 619 records from 23 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007052-250227182430271/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mphy42
title: Occurrence Download

description: A dataset containing 55 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is LACM Malacology",
 "TaxonKey is Arion A.Férussac, 1819",
 "Year 2000-2025"
 ]
}

 The dataset includes 55 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007001-250227182400228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.thcxq3
title: Occurrence Download

description: A dataset containing 26 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Argentina",
 "TaxonKey is Capsicum eximium Hunz."
 ]
}

 The dataset includes 26 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007002-250227182400228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2rxg42
title: Occurrence Download

description: A dataset containing 4423100 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Continent is Asia",
 "Country is China",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 4423100 records from 713 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006996-250227182400228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.24377/ljmu.d.00000219
title: Open Research Week (ORW) 2025

description: Open Research Week 2025 is a collaborative initiative between the University of Liverpool, Liverpool John Moore’s University, Edge Hill University, and the University of Essex. Held from Monday, 24th February to Thursday, 27th February 2025, the event celebrates and promotes open research practices for researchers and research support professionals. Sessions explore key topics such as open data, qualitative research challenges, AI in open science, research assessment, and international case studies. This dataset incluedes session recordings.

You can read a synopsis of each session on the LJMU Library Researcher Engagement blog - link under related URLs published paper.
description: Recordings
DOI: 10.24377/ljmu.d.00000218
title: Investigative and Forensic Themes in U.S. Transgender Homicides (2013- 2023)

description: This comprehensive and multi-year dataset (2013-2023) was collected from open-source information (i.e., government reports, police reports, post-mortem reports, prison records, etc.) alongside published online media reports regarding victimological circumstances, location(s) of body recovery, circumstances surrounding body recovery, method of homicide, geographic considerations, arrest information of suspect(s) if applicable, conviction(s) if applicable, antemortem injuries, post-mortem injuries, and post-mortem actions of suspect(s) was examined to provide a descriptive account of these US transgender and gender non-conforming homicides. The dataset was constructed over the course of several years to identify forensic and investigative themes in homicides involving transgender and gender non-conforming victims.
description: For this dataset I examined (n=27,151) published online open-source media reports of US transgender homicides alongside official data sources (i.e., government reports, police reports, post-mortem reports, prison records, etc.) over the course of several years. Official homicide victimisation data came from the FBI’s Supplementary Homicide Report (SHR), the most used official data source for homicide data in the US, alongside yearly Uniformed Crime Reports (UCR). Initial online open-media reports were identified through using LexisNexis and NewsBank databases while also searching for all news items published by online and print mainstream news outlets. Further relevant open-source material was initially identified by using a search string that contained the terms “homicide”, “murder”, “LGBT” and “transgender” alongside the state name/ jurisdiction where the reported homicide occurred. This included information on transgender and gender non-conforming victims from print, news magazines, news, alongside other open-source data from LGBTQ+ research agencies (e.g. Transgender Europe’s (TGEU) “Transgender Respect Versus Transgenderphobia Worldwide” Project and “Transgender Murder Monitoring Project”; Human Right’s Campaign’s (HRC) “Annual Reports of Anti-Transgender Violence” projects) and other advocacy information agencies (e.g. Transgender Center for Transgender Equality, GLAAD; Trans Lives Matter “Remember Our Dead Project”). This open-source information searching provided crucial missing details about the victims, the offenders, and case specific information not currently recorded in official FBI crime reports, local police reports, prison reports (if a homicide conviction), court reports (if a homicide sentence), or coroner reports where injuries and causes of death were outlined. Yet, relying solely upon non-profit or trans rights activists’ information regarding victimology and case specific details was limiting at times due to noticeable data inconsistencies. Therefore, I used official police, prison, court, and coroner reports to collaborate and cross-reference any case specific information form said non-profits.
DOI: 10.15468/dl.ttbdz8
title: Occurrence Download

description: A dataset containing 5277 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Portugal",
 "TaxonKey is Lacerta schreiberi Bedriaga, 1878"
 ]
}

 The dataset includes 5277 records from 23 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007004-250227182400228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8pr8e3
title: Occurrence Download

description: A dataset containing 26605 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Carduus pycnocephalus L.)",
 "BasisOfRecord is one of (Specimen, Human Observation, Observation, Living Specimen, Machine Observation, Literature Occurrence)",
 "Geometry POLYGON((-180 -90,180 -90,180 90,-180 90,-180 -90))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1945"
 ]
}

 The dataset includes 26605 records from 551 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007003-250227182400228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15156/bio/sh1047834.10fu
title: SH1047834.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1047837.10fu
title: SH1047837.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1047838.10fu
title: SH1047838.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1047842.10fu
title: SH1047842.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1047844.10fu
title: SH1047844.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1047846.10fu
title: SH1047846.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1047847.10fu
title: SH1047847.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.