cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.dan3gu
title: Occurrence Download

description: A dataset containing 4998 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((2.93336 45.70737,7.60603 45.70737,7.60603 48.25191,2.93336 48.25191,2.93336 45.70737))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Aquila chrysaetos"
 ]
}

 The dataset includes 4998 records from 49 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0044979-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.55zwd8
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"within","geometry":"POLYGON ((151.131 -4.75885, 151.060495 -4.764412, 150.991723 -4.780965, 150.926373 -4.808099, 150.866053 -4.845149, 150.812246 -4.891203, 150.766277 -4.945129, 150.729277 -5.005602, 150.702159 -5.071134, 150.685593 -5.140112, 150.679991 -5.210838, 150.685493 -5.281573, 150.701969 -5.350573, 150.729016 -5.41614, 150.76597 -5.476657, 150.811924 -5.530632, 150.865746 -5.576735, 150.926112 -5.613829, 150.991533 -5.640999, 151.060395 -5.657573, 151.131 -5.663144, 151.201605 -5.657573, 151.270467 -5.640999, 151.335888 -5.613829, 151.396254 -5.576735, 151.450076 -5.530632, 151.49603 -5.476657, 151.532984 -5.41614, 151.560031 -5.350573, 151.576507 -5.281573, 151.582009 -5.210838, 151.576407 -5.140112, 151.559841 -5.071134, 151.532723 -5.005602, 151.495723 -4.945129, 151.449754 -4.891203, 151.395947 -4.845149, 151.335627 -4.808099, 151.270277 -4.780965, 151.201505 -4.764412, 151.131 -4.75885))"},{"type":"equals","key":"CLASS_KEY","value":"212","matchCase":false},{"type":"greaterThanOrEquals","key":"YEAR","value":"2015","matchCase":false},{"type":"not","predicate":{"type":"in","key":"BASIS_OF_RECORD","values":["MATERIAL_CITATION","MATERIAL_SAMPLE","PRESERVED_SPECIMEN"],"matchCase":false}},{"type":"lessThanOrEquals","key":"COORDINATE_UNCERTAINTY_IN_METERS","value":"10000","matchCase":false},{"type":"equals","key":"LICENSE","value":"CC BY 4.0","matchCase":false}]}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0044980-251120083545085/datasets/export for details.
DOI: 10.15468/dl.tqa6r3
title: Occurrence Download

description: A dataset containing 9828259 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is France",
 "OccurrenceStatus is Present",
 "Year 2018-2018"
 ]
}

 The dataset includes 9828259 records from 4597 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0044891-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jdqqp7
title: Occurrence Download

description: A dataset containing 148 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Bactris cubensis Burret"
 ]
}

 The dataset includes 148 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0145905-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.kyo1cw
title: Occurrence Download

description: A dataset containing 926 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "BasisOfRecord is Observation",
 "BasisOfRecord is Human Observation",
 "BasisOfRecord is Living Specimen"
 ]
 },
 {
 "or" : [
 "Country is Colombia",
 "Country is Ecuador"
 ]
 },
 "HasCoordinate is true",
 "TaxonKey is Passiflora L.",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 926 records from 28 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0031765-180508205500799/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.cx5jdb
title: Occurrence Download

description: A dataset containing 3260332 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((1.8796086666666671 48.58410666666667, 35.924964333333335 48.58410666666667, 35.924964333333335 65.67073733333334, 1.8796086666666671 65.67073733333334, 1.8796086666666671 48.58410666666667))",
 "EventDate is 2022-04-01,2022-04-30"
 ]
}

 The dataset includes 3260332 records from 261 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026090-240229165702484/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8npwqh
title: Occurrence Download

description: A dataset containing 366 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Chrysochloris asiatica (Linnaeus, 1758)"
 ]
}

 The dataset includes 366 records from 34 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025877-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.kahdsv
title: Occurrence Download

description: A dataset containing 16 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Blakea nareliana Bussmann"
 ]
}

 The dataset includes 16 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0145906-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2987bp
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "TaxonKey is Odorrana lipuensis Mo, Chen, Wu, Zhang & Zhou, 2015"
 ]
}

 The dataset includes 2 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026093-240229165702484/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gx3ozp
title: Occurrence Download

description: A dataset containing 77809 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Salix purpurea L."
 ]
}

 The dataset includes 77809 records from 388 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0031765-181108115102211/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ah56n5
title: Occurrence Download

description: A dataset containing 114375 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Europe",
 "DatasetKey is Swedish Butterfly Monitoring Scheme (SeBMS)"
 ]
}

 The dataset includes 114375 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0179353-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wsbqqs
title: Occurrence Download

description: A dataset containing 4 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Ceratozamia leptoceras Mart.-Domínguez, Nic.-Mor., D.W.Stev. & Lorea-Hern."
 ]
}

 The dataset includes 4 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0145907-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.uyhvjy
title: Occurrence Download

description: A dataset containing 1480 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "TaxonKey is Hyloscirtus alytolylax (Duellman, 1972)"
 ]
}

 The dataset includes 1480 records from 16 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025917-240229165702484/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.crth3g
title: Occurrence Download

description: A dataset containing 16133922 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Elevation 137.0-9999.0m",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 16133922 records from 2582 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0031766-180131172636756/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7jxh2p
title: Occurrence Download

description: A dataset containing 27918 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON ((156 53.55059, 162 53.55059, 162 54.85811, 156 54.85811, 156 53.55059))"
 ]
}

 The dataset includes 27918 records from 125 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0037776-240229165702484/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.lk36ai
title: Occurrence Download

description: A dataset containing 134 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Chriodorus atherinoides Goode & Bean, 1882",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 134 records from 15 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0046338-160910150852091/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.s3qmca
title: Occurrence Download

description: A dataset listing the 128233 species recorded in GBIF matching the query:
{
 "and" : [
 "Country is Colombia",
 "OccurrenceStatus is Present"
 ]
}

 The dataset's 128233 records were derived from 3686 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0410443-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fzse9a
title: Occurrence Download

description: A dataset containing 38699 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "TaxonKey is Bombus terrestris (Linnaeus, 1758)",
 "PhylumKey is Arthropoda",
 "Year is greater than or equal to 1992",
 "Year is less than or equal to 2012",
 "Geometry POLYGON((-26 30, 46 30, 46 68, -26 68, -26 30))"
 ]
}

 The dataset includes 38699 records from 479 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006258-241007104925546/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.13899737
title: Data from "A search using GEO600 for gravitational waves coincident with fast radio bursts from SGR 1935+2154"

description: This includes the data and scripts used to generate the plots in the paper "A search using GEO600 for gravitational waves coincident with fast radio bursts from SGR 1935+2154."
description: LIGO Laboratory and Advanced LIGO are funded by the United States National Science Foundation (NSF) as well as the Science and Technology Facilities Council (STFC) of the United Kingdom, the Max-Planck-Society (MPS), and the State of Niedersachsen/Germany for support of the construction of Advanced LIGO and construction and operation of the GEO600 detector. Additional support for Advanced LIGO was provided by the Australian Research Council. Virgo is funded, through the European Gravitational Observatory (EGO), by the French Centre National de Recherche Scientifique (CNRS), the Italian Istituto Nazionale di Fisica Nucleare (INFN) and the Dutch Nikhef, with contributions by institutions from Belgium, Germany, Greece, Hungary, Ireland, Japan, Monaco, Poland, Portugal, Spain. The construction and operation of KAGRA are funded by Ministry of Education, Culture, Sports, Science and Technology (MEXT), and Japan Society for the Promotion of Science (JSPS), National Research Foundation (NRF) and Ministry of Science and ICT (MSIT) in Korea, Academia Sinica (AS) and the Ministry of Science and Technology (MoST) in Taiwan.
DOI: 10.5281/zenodo.13899738
title: Data from "A search using GEO600 for gravitational waves coincident with fast radio bursts from SGR 1935+2154"

description: This includes the data and scripts used to generate the plots in the paper "A search using GEO600 for gravitational waves coincident with fast radio bursts from SGR 1935+2154."
description: LIGO Laboratory and Advanced LIGO are funded by the United States National Science Foundation (NSF) as well as the Science and Technology Facilities Council (STFC) of the United Kingdom, the Max-Planck-Society (MPS), and the State of Niedersachsen/Germany for support of the construction of Advanced LIGO and construction and operation of the GEO600 detector. Additional support for Advanced LIGO was provided by the Australian Research Council. Virgo is funded, through the European Gravitational Observatory (EGO), by the French Centre National de Recherche Scientifique (CNRS), the Italian Istituto Nazionale di Fisica Nucleare (INFN) and the Dutch Nikhef, with contributions by institutions from Belgium, Germany, Greece, Hungary, Ireland, Japan, Monaco, Poland, Portugal, Spain. The construction and operation of KAGRA are funded by Ministry of Education, Culture, Sports, Science and Technology (MEXT), and Japan Society for the Promotion of Science (JSPS), National Research Foundation (NRF) and Ministry of Science and ICT (MSIT) in Korea, Academia Sinica (AS) and the Ministry of Science and Technology (MoST) in Taiwan.
DOI: 10.15468/dl.adwwmt
title: Occurrence Download

description: A dataset containing 283 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Honduras",
 "TaxonKey is Dasyprocta punctata Gray, 1842"
 ]
}

 The dataset includes 283 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006261-241007104925546/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.13362045
title: Hsp70_entropic_pulling
DOI: 10.5281/zenodo.13342612
title: Hsp70_entropic_pulling
DOI: 10.5281/zenodo.13342613
title: Hsp70_entropic_pulling
DOI: 10.5281/zenodo.13362147
title: Hsp70_entropic_pulling
DOI: 10.5281/zenodo.13913160
title: Organic carbon content and estimated organic carbon stocks for Northern Irish Marine Sediments

description: Northern Ireland is a constituent region of the United Kingdom, consisting of 14,330 square kilometers of land in the north east of the island of Ireland. Northern Ireland's devolved administration has repsonsibility for 6000 square kilometers of shelf seas, encompassing the north western portion of the Irish Sea, the North Channel and part of the Malin Sea. There is growing interest in the capacity of marine sediments to sequester and store carbon, as a potential natural feedback against climate change. Between 2021 and 2024, the Northern Ireland Department of Agriculture, the Environment and Rural Affairs provided funding to AFBI NI to support the initial quantification and mapping of sediment carbon content in Northern Ireland's Marine Sediments. Here we present a consolidated dataset of sediment organic carbon content and estimates of areal seabed carbon stocks (for the upper 10cm of sediment) across the Northern Irish portion of the UK's territorial seas. The dataset includes sediment carbon data from recent oceanographic surveys, alongside historical datasets from AFBI's internal data archive. The data are supported by metadata including location (Latitude and Longitude), bathymetric depth, seabed type (percentage mud, sand and gravel), year of collection, sampling metier and information on the data source.
DOI: 10.5281/zenodo.13913161
title: Organic carbon content and estimated organic carbon stocks for Northern Irish Marine Sediments

description: Northern Ireland is a constituent region of the United Kingdom, consisting of 14,330 km<sup>2</sup> of land in the north east of the island of Ireland. Northern Ireland's devolved administration has repsonsibility for 6000 km<sup>2</sup> of shelf seas, encompassing the north western portion of the Irish Sea, the North Channel and part of the Malin Sea. There is growing interest in the capacity of marine sediments to sequester and store carbon, as a potential natural feedback against climate change. Between 2021 and 2024, the Northern Ireland Department of Agriculture, the Environment and Rural Affairs provided funding to AFBI NI to support the initial quantification and mapping of sediment carbon content in Northern Ireland's Marine Sediments. Here we present a consolidated dataset of sediment organic carbon content and estimates of areal seabed carbon stocks (for the upper 10cm of sediment) across the Northern Irish portion of the UK's territorial seas. The dataset includes sediment carbon data from recent oceanographic surveys, alongside historical datasets from AFBI's internal data archive. The data are supported by metadata including location (Latitude and Longitude), bathymetric depth, seabed type (percentage mud, sand and gravel), year of collection, sampling metier and information on the data source.
DOI: 10.5281/zenodo.13913460
title: Organic carbon content and estimated organic carbon stocks for Northern Irish Marine Sediments

description: Northern Ireland is a constituent region of the United Kingdom, consisting of 14,330 square kilometers of land in the north east of the island of Ireland. Northern Ireland's devolved administration has repsonsibility for 6000 square kilometers of shelf seas, encompassing the north western portion of the Irish Sea, the North Channel and part of the Malin Sea. There is growing interest in the capacity of marine sediments to sequester and store carbon, as a potential natural feedback against climate change. Between 2021 and 2024, the Northern Ireland Department of Agriculture, the Environment and Rural Affairs provided funding to AFBI NI to support the initial quantification and mapping of sediment carbon content in Northern Ireland's Marine Sediments. Here we present a consolidated dataset of sediment organic carbon content and estimates of areal seabed carbon stocks (for the upper 10cm of sediment) across the Northern Irish portion of the UK's territorial seas. The dataset includes sediment carbon data from recent oceanographic surveys, alongside historical datasets from AFBI's internal data archive. The data are supported by metadata including location (Latitude and Longitude), bathymetric depth, seabed type (percentage mud, sand and gravel), year of collection, sampling metier and information on the data source.
DOI: 10.5281/zenodo.13913541
title: Organic carbon content and estimated organic carbon stocks for Northern Irish Marine Sediments

description: Northern Ireland is a constituent region of the United Kingdom, consisting of 14,330 square kilometers of land in the north east of the island of Ireland. Northern Ireland's devolved administration has repsonsibility for 6000 square kilometers of shelf seas, encompassing the north western portion of the Irish Sea, the North Channel and part of the Malin Sea. There is growing interest in the capacity of marine sediments to sequester and store carbon, as a potential natural feedback against climate change. Between 2021 and 2024, the Northern Ireland Department of Agriculture, the Environment and Rural Affairs provided funding to AFBI NI to support the initial quantification and mapping of sediment carbon content in Northern Ireland's Marine Sediments. Here we present a consolidated dataset of sediment organic carbon content and estimates of areal seabed carbon stocks (for the upper 10cm of sediment) across the Northern Irish portion of the UK's territorial seas. The dataset includes sediment carbon data from recent oceanographic surveys, alongside historical datasets from AFBI's internal data archive. The data are supported by metadata including location (Latitude and Longitude), bathymetric depth, seabed type (percentage mud, sand and gravel), year of collection, sampling metier and information on the data source.
DOI: 10.5287/ora-00ro9egkv
title: Grand Chambers (ECJ and ECtHR) 2020 Sample

description: Data in an Excel spreadsheet for 150 judgments: 75 from each court, with 25 for each type of formation (GC, 5/7 judge chamber, 3 judge chamber). Data manually coded by the author from the court's opinions.
DOI: 10.6084/m9.figshare.25459938
title: Dr. Google vs. Dr. ChatGPT: Exploring the Use of Artificial Intelligence in Ophthalmology by Comparing the Accuracy, Safety, and Readability of Responses to Frequently Asked Patient Questions Regarding Cataracts and Cataract Surgery

description: Patients are using online search modalities to learn about their eye health. While Google remains the most popular search engine, the use of large language models (LLMs) like ChatGPT has increased. Cataract surgery is the most common surgical procedure in the US, and there is limited data on the quality of online information that populates after searches related to cataract surgery on search engines such as Google and LLM platforms such as ChatGPT. We identified the most common patient frequently asked questions (FAQs) about cataracts and cataract surgery and evaluated the accuracy, safety, and readability of the answers to these questions provided by both Google and ChatGPT. We demonstrated the utility of ChatGPT in writing notes and creating patient education materials. The top 20 FAQs related to cataracts and cataract surgery were recorded from Google. Responses to the questions provided by Google and ChatGPT were evaluated by a panel of ophthalmologists for accuracy and safety. Evaluators were also asked to distinguish between Google and LLM chatbot answers. Five validated readability indices were used to assess the readability of responses. ChatGPT was instructed to generate operative notes, post-operative instructions, and customizable patient education materials according to specific readability criteria. Responses to 20 patient FAQs generated by ChatGPT were significantly longer and written at a higher reading level than responses provided by Google (<i>p</i> &lt; .001), with an average grade level of 14.8 (college level). Expert reviewers were correctly able to distinguish between a human-reviewed and chatbot generated response an average of 31% of the time. Google answers contained incorrect or inappropriate material 27% of the time, compared with 6% of LLM generated answers (<i>p</i> &lt; .001). When expert reviewers were asked to compare the responses directly, chatbot responses were favored (66%). When comparing the responses to patients’ cataract FAQs provided by ChatGPT and Google, practicing ophthalmologists overwhelming preferred ChatGPT responses. LLM chatbot responses were less likely to contain inaccurate information. ChatGPT represents a viable information source for eye health for patients with higher health literacy. ChatGPT may also be used by ophthalmologists to create customizable patient education materials for patients with varying health literacy.