cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.98c5jg
title: Occurrence Download

description: A dataset containing 5668 records in GBIF matching the query:
SELECT
 kingdom,
 kingdomkey,
 phylum,
 phylumkey,
 class,
 classkey,
 "order",
 orderkey,
 family,
 familykey,
 genus,
 genuskey,
 species,
 specieskey,
 "year",
 IF(ISNULL(kingdomkey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY kingdomkey, "year")) kingdomcount,
 IF(ISNULL(phylumkey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY phylumkey, "year")) phylumcount,
 IF(ISNULL(classkey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY classkey, "year")) classcount,
 IF(ISNULL(orderkey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY orderkey, "year")) ordercount,
 IF(ISNULL(familykey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY familykey, "year")) familycount,
 IF(ISNULL(genuskey), NULL, SUM(COUNT(*)) OVER (
 PARTITION BY genuskey, "year")) genuscount,
 COUNT(*) occurrences,
 MIN(GBIF_TEMPORALUNCERTAINTY(eventdate, eventtime)) mintemporaluncertainty,
 MIN(COALESCE(coordinateuncertaintyinmeters, 1000)) mincoordinateuncertaintyinmeters
FROM
 occurrence
WHERE
 occurrence.countrycode = 'GW'
 AND occurrence.occurrencestatus = 'PRESENT'
 AND (occurrence."year" &gt;= 2000 AND occurrence."year" &lt;= 2025)
 AND occurrence.hasgeospatialissues = FALSE
 AND NOT GBIF_STRINGARRAYCONTAINS(occurrence.issue, 'TAXON_MATCH_FUZZY', TRUE)
 AND (occurrence.distancefromcentroidinmeters &gt;= 2000.0 OR occurrence.distancefromcentroidinmeters IS NULL)
 AND NOT occurrence.basisofrecord IN ('FOSSIL_SPECIMEN', 'LIVING_SPECIMEN')
 AND (occurrence.specieskey IS NOT NULL AND occurrence."year" IS NOT NULL)
GROUP BY
 occurrence.kingdom,
 occurrence.kingdomkey,
 occurrence.phylum,
 occurrence.phylumkey,
 occurrence.class,
 occurrence.classkey,
 occurrence."order",
 occurrence.orderkey,
 occurrence.family,
 occurrence.familykey,
 occurrence.genus,
 occurrence.genuskey,
 occurrence.species,
 occurrence.specieskey,
 occurrence."year"

 The dataset's 5668 records were derived from 73 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0035697-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.smejnq
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Pyxicephalus edulis Peters, 1854",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Living Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((20.529 -24.0715,20.509 -24.0455,20.509 -24.0715,20.529 -24.0715))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0035707-250525065834625/datasets/export for details.
DOI: 10.2909/b35bb038-6ba6-46c2-a66f-0592e5385b10
title: National Emission reductions Commitments (NEC) Directive emission inventory data, 1980-2023 ver 2.0

description: Data on emissions of air pollutants (ammonia (NH3), non-methane volatile organic compounds (NMVOC), nitrogen oxides (NOx), particulate matter 2.5 (PM2.5) and sulphur dioxide (SO2)) reported annually by Member States to the European Commission (with copies to EEA) under Directive 2016/2284 of the European Parliament and of the Council on the reduction of national emissions of certain atmospheric pollutants.

This version contains re-submitted data from member countries.
DOI: 10.5281/zenodo.15638747
title: Fragment_and_char_based_PSs_generation
DOI: 10.5281/zenodo.15638748
title: Fragment_and_char_based_PSs_generation
DOI: 10.14466/cefasdatahub.54
title: Horizontal and Vertical Movements of Atlantic cod and European plaice in the North Sea and English Channel from 1996 to 2010 Derived from Data Storage Tags

description: This data is derived from the deployment of archival data storage tags (DST) on Atlantic cod (Gadus morhua) and European plaice (Pleuronectes platessa) in the North Sea and English Channel. Tags were deployed throughout the time period 1996 – 2010. The dataset includes 107 individual fish each with its own bivariate time series of horizontal (m day-1) and vertical movements (m day-1). Daily geolocation estimates (latitude and longitude) are also provided. The length of each time series varies substantially from a minimum of 40 days to a maximum of 399 days. A description of tag type, fish capture, tag attachment and tag accuracy can be found in Righton et al. (2010) for Atlantic cod and in Hunter et al. (2004) for European plaice. Righton et al. (2010) is published in Marine Ecology Progress Series and is freely available here http://www.int-res.com/articles/feature/m420p001.pdf. Hunter et al. (2004) is published in the Journal of Animal Ecology and is freely available here https://besjournals.onlinelibrary.wiley.com/doi/pdf/10.1111/j.0021-8790.2004.00801.x. Each DST was pre-programmed to record depth (m) at 10-minute intervals for the duration of deployment. Vertical movement rates were calculated as the absolute difference between corresponding 10-minute depth measurements summed to the daily level. Horizontal movement rates were calculated in a two-step approach. First, daily geolocations were estimated via a Fokker-Planck-based method that combines a tidal location method and a Bayesian state-space model (see Pedersen et al. 2008 for model details). Second, the straight-line distance between daily geolocations is calculated using the Great Circle equation. Pedersen et al. (2008) is published in the Canadian Journal of Fisheries and Aquatic Sciences and is freely available here http://www.nrcresearchpress.com/doi/pdf/10.1139/F08-144. Neat et al. (2014) previously used the daily geolocation estimates provided in this dataset as part of their study into stock structure in Atlantic cod around the British Isles. The article was published in the Journal of Applied Ecology and is freely available here https://besjournals.onlinelibrary.wiley.com/doi/pdf/10.1111/1365-2664.12343.
DOI: 10.6084/m9.figshare.27939276
title: Decoding clinical trial jargon: helping people understand how safety and quality of life are assessed in cancer trials

description: People living with cancer have a profound need to understand any potential negative impacts of treatment on their everyday lives and whether the treatment itself could cause other long-term health challenges. This podcast brings together the perspectives of a patient, patient advocates and an oncologist, to highlight opportunities to better support people in understanding the possible side effects of a treatment and potential impact on quality of life. In addition to bridging gaps between the perspectives of healthcare providers and patients, it may be helpful to support people in interpreting relevant clinical trial findings. With this in mind, two accompanying visual guides use patient-friendly language to help people understand how safety and quality of life are measured in clinical trials. A PDF version of this infographic is available as supplemental material. A PDF version of this infographic is available as supplemental material.
DOI: 10.6084/m9.figshare.27939276.v3
title: Decoding clinical trial jargon: helping people understand how safety and quality of life are assessed in cancer trials

description: People living with cancer have a profound need to understand any potential negative impacts of treatment on their everyday lives and whether the treatment itself could cause other long-term health challenges. This podcast brings together the perspectives of a patient, patient advocates and an oncologist, to highlight opportunities to better support people in understanding the possible side effects of a treatment and potential impact on quality of life. In addition to bridging gaps between the perspectives of healthcare providers and patients, it may be helpful to support people in interpreting relevant clinical trial findings. With this in mind, two accompanying visual guides use patient-friendly language to help people understand how safety and quality of life are measured in clinical trials. A PDF version of this infographic is available as supplemental material. A PDF version of this infographic is available as supplemental material.
DOI: 10.6084/m9.figshare.27939276.v2
title: Decoding clinical trial jargon: helping people understand how safety and quality of life are assessed in cancer trials

description: People living with cancer have a profound need to understand any potential negative impacts of treatment on their everyday lives and whether the treatment itself could cause other long-term health challenges. This podcast brings together the perspectives of a patient, patient advocates and an oncologist, to highlight opportunities to better support people in understanding the possible side effects of a treatment and potential impact on quality of life. In addition to bridging gaps between the perspectives of healthcare providers and patients, it may be helpful to support people in interpreting relevant clinical trial findings. With this in mind, two accompanying visual guides use patient-friendly language to help people understand how safety and quality of life are measured in clinical trials. A PDF version of this infographic is available as supplemental material. A PDF version of this infographic is available as supplemental material.
DOI: 10.5281/zenodo.15638558
title: Raw data for the article "Synthesis and characterization of phase-separated extracellular condensates in interactions with cells"

description: Biomolecular condensates formed through liquid-liquid phase separation play key roles in intracellular organization and signaling, yet their function in extracellular environments remains largely unexplored. Here, we establish a model using heparan sulfate, a key component of the extracellular matrix, to study extracellular condensate-cell interactions. We develop a methodology based on scanning probe microscopy (SPM) to quantify rheological properties of these extracellular condensates as well as their adhesion forces with cellular surfaces. Our findings and methodology open new avenues for understanding the organizational roles of condensates beyond cellular boundaries. This repository includes the data files related to this study as well as the Mathematica codes for SPM analysis (Github Link). 

 

Users are requested to cite: Naghilou et al., Chemical Engineering Journal, 164551 (2025) https://doi.org/10.1016/j.cej.2025.164551
DOI: 10.5281/zenodo.15638559
title: Raw data for the article "Synthesis and characterization of phase-separated extracellular condensates in interactions with cells"

description: Biomolecular condensates formed through liquid-liquid phase separation play key roles in intracellular organization and signaling, yet their function in extracellular environments remains largely unexplored. Here, we establish a model using heparan sulfate, a key component of the extracellular matrix, to study extracellular condensate-cell interactions. We develop a methodology based on scanning probe microscopy (SPM) to quantify rheological properties of these extracellular condensates as well as their adhesion forces with cellular surfaces. Our findings and methodology open new avenues for understanding the organizational roles of condensates beyond cellular boundaries. This repository includes the data files related to this study as well as the Mathematica codes for SPM analysis (Github Link). 

 

Users are requested to cite: Naghilou et al., Chemical Engineering Journal, 164551 (2025) https://doi.org/10.1016/j.cej.2025.164551
DOI: 10.15468/dl.bnwh4t
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Pyxicephalus edulis Peters, 1854",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Living Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((25.5395 -23.2724,25.1306 -24.0715,25.5395 -24.0715,25.5395 -23.2724))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0035708-250525065834625/datasets/export for details.
DOI: 10.15468/dl.tdjd27
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is Reef Life Survey: Global reef fish dataset",
 "TaxonKey is Plantae",
 "HasCoordinate is true",
 "DecimalLatitude -90-90",
 "DecimalLongitude -180-180",
 {
 "not" : {
 "Issue" : [
 "is Zero coordinate"
 ]
 }
 },
 {
 "not" : {
 "Issue" : [
 "is Coordinate out of range"
 ]
 }
 },
 {
 "not" : {
 "Issue" : [
 "is Coordinate invalid"
 ]
 }
 },
 {
 "not" : {
 "Issue" : [
 "is Coordinate rounded"
 ]
 }
 },
 {
 "not" : {
 "Issue" : [
 "is Geodetic datum assumed WGS84"
 ]
 }
 },
 {
 "not" : {
 "Issue" : [
 "is Coordinate reprojected"
 ]
 }
 },
 {
 "not" : {
 "Issue" : [
 "is Coordinate reprojection failed"
 ]
 }
 },
 {
 "not" : {
 "Issue" : [
 "is Coordinate reprojection suspicious"
 ]
 }
 },
 {
 "not" : {
 "Issue" : [
 "is Coordinate precision invalid"
 ]
 }
 },
 {
 "not" : {
 "Issue" : [
 "is Coordinate uncertainty meters invalid"
 ]
 }
 },
 {
 "not" : {
 "Issue" : [
 "is Country coordinate mismatch"
 ]
 }
 },
 {
 "not" : {
 "Issue" : [
 "is Country derived from coordinates"
 ]
 }
 },
 {
 "not" : {
 "Issue" : [
 "is Country invalid"
 ]
 }
 },
 {
 "not" : {
 "Issue" : [
 "is Country mismatch"
 ]
 }
 },
 {
 "not" : {
 "Issue" : [
 "is Presumed swapped coordinate"
 ]
 }
 },
 {
 "not" : {
 "Issue" : [
 "is Presumed negated longitude"
 ]
 }
 },
 {
 "not" : {
 "Issue" : [
 "is Presumed negated latitude"
 ]
 }
 },
 {
 "not" : {
 "Issue" : [
 "is Recorded date mismatch"
 ]
 }
 },
 {
 "not" : {
 "Issue" : [
 "is Recorded date invalid"
 ]
 }
 },
 {
 "not" : {
 "Issue" : [
 "is Recorded date unlikely"
 ]
 }
 },
 {
 "not" : {
 "Issue" : [
 "is Taxon match fuzzy"
 ]
 }
 },
 {
 "not" : {
 "Issue" : [
 "is Taxon match higher rank"
 ]
 }
 },
 {
 "not" : {
 "Issue" : [
 "is Taxon match aggregate"
 ]
 }
 },
 {
 "not" : {
 "Issue" : [
 "is The scientific name ID was not used in backbone matching"
 ]
 }
 },
 {
 "not" : {
 "Issue" : [
 "is The taxon concept ID was not used in backbone matching"
 ]
 }
 },
 {
 "not" : {
 "Issue" : [
 "is The taxon ID was not used in backbone matching"
 ]
 }
 },
 {
 "not" : {
 "Issue" : [
 "is Taxon match none"
 ]
 }
 },
 {
 "not" : {
 "Issue" : [
 "is The backbone match found using the taxon IDs differs from what would be found if using the scientific names"
 ]
 }
 }
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0035709-250525065834625/datasets/export for details.
DOI: 10.14466/cefasdatahub.55
title: The Canyons - Infauna - 2017

description: These data are counts of infauna derived from the analysis of 37 samples collected at The Canyons MCZ in May and June 2017 on board the RV Cefas Endeavour. It also includes marine litter data recorded on the SACFOR scale.  Marine Conservation Zones (MCZs) are a new form of Marine Protected Area (MPAs) created under the Marine and Coastal Access Act 2009 which will protect a range of nationally important habitats and species. By protecting these species and habitats MCZs will contribute to a network of MPAs in the UK, together with existing MPAs (European Marine Sites, and marine elements of SSSIs and Ramsar sites) and other national designations being planned in Scotland, Wales and Northern Ireland. This means the MPA network will be a collection of areas that work together to provide more benefits than an individual area could on its own. Natural England and JNCC will provide detailed advice to Public Authorities on the sensitivity of MCZ habitats and species following designation.  Sediment samples were processed to extract and identify all biota retained, following sieving at sea, on a 1.0mm capture mesh, as per the NMBAQC guidelines for extraction and identification (Worsfold et al, 2010, http://www.nmbaqcs.org/media/1175/nmbaqc-inv-prp-v10-june2010.pdf). Enumeration, identification and biomass per identified taxa was carried out following the Processing Requirement Protocol and Taxonomic Discrimination Protocol (Worsfold et al, 2010). Biomass was recorded as blotted wet weight in grams to at least 4 d.p. for all countable taxa. A single reference collection of all species / taxa encountered was delivered along with the faunal residues picked from the sediment sample.
DOI: 10.15468/dl.gxawft
title: Occurrence Download

description: A dataset containing 99 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is SANParks Herbarium Data for the Skukuza Herbarium"
 ]
}

 The dataset includes 99 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0035710-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qbvhzd
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Pyxicephalus edulis Peters, 1854",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Living Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((20.2855 -34.7533,20.509 -34.5676,20.509 -32.9007,17.7723 -32.9007,17.8156 -33.0786,18.3471 -33.7176,18.3748 -33.8287,18.2181 -34.0492,18.3197 -34.3408,18.4452 -34.429,18.5435 -34.4213,18.5872 -34.3667,18.5363 -34.167,18.7345 -34.1508,18.7216 -34.3637,18.7808 -34.4521,19.0289 -34.4206,19.0831 -34.4835,19.2655 -34.5017,19.2032 -34.6157,19.2394 -34.6926,19.375 -34.6963,19.6091 -34.8524,19.8251 -34.8396,19.9798 -34.9064,20.1081 -34.8731,20.1517 -34.7847,20.2855 -34.7533))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0035711-250525065834625/datasets/export for details.
DOI: 10.15468/dl.jvxh58
title: Occurrence Download

description: A dataset containing 32 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Gonyosoma boulengeri (Mocquard, 1897)"
 ]
}

 The dataset includes 32 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0035712-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.14466/cefasdatahub.57
title: Ichthyoplankton Analysis Data from the Western Coastal Shelf 2016

description: Ichthyoplankton abundance data (fish eggs and larvae) to study the Spatial abundance of the species in 2016 from the western approaches of the Celtic sea in the region between 48⁰N and 54.5⁰N between March and August along the western continental shelf from France to the waters around the middle of Ireland. These samples were loaned to Cefas by ICES WGMEGS participating nations that collected the samples. The dataset consists of 551 samples split across 6 different time periods with a total of 59,160 eggs of which 45,721 identified to 30 different taxa and 78,067 larvae of which 69,894 were identified to 72 different taxonomic groups. Within the data set the date and time is recorded along with the latitude and longitude position. For each entry at maximum depth the profiler reached and the total volume of seawater filtered (m3), calculated by flowmeters, is recorded for each record. Ichthyoplankton (fish eggs and larvae) samples were collected by a GULF VII high-speed plankton sampler by EU members that are involved in the ICES WGMEGS mackerel egg survey with the full methodology found here http://www.ices.dk/community/groups/Pages/WGMEGS.aspx. A subset of samples were selected from March to August in the region between 48N and 54.5N along the western continental shelf from France to middle of Ireland. These samples were loaned to Cefas and analysed for all remaining eggs and larvae.
DOI: 10.15468/dl.d9uyes
title: Occurrence Download

description: A dataset containing 199690 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Canis lupus Linnaeus, 1758"
 ]
}

 The dataset includes 199690 records from 751 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0035702-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.59rd6j
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Pyxicephalus edulis Peters, 1854",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Living Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((35.628 -23.023,35.6007 -22.9702,35.6007 -23.165,35.628 -23.023))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0035713-250525065834625/datasets/export for details.
DOI: 10.7479/44ds-qd81
title: Illustration des Projektes Sammlungserschließung und- entwicklung am Museum für Naturkunde Berlin

description: Im Rahmen des Zukunftsplans schafft das Museum für Naturkunde Berlin mit dem Projekt Sammlungserschließung und -entwicklung eine offene Wissensinfrastruktur für Natur. Das Poster illustriert grafisch, wie die über 30 Millionen Sammlungsobjekte des Museums konservatorisch gesichert, digital erfasst und für alle zugänglich gemacht werden.
DOI: 10.17617/3.stvmdi
title: Tool, raw dataset, and analysis scripts for Illegal Movie Streaming Services measurement

description: This collection contains the tool, raw dataset, and analysis scripts used to reproduce the analysis conducted in our study on illegal movie streaming services measurement. The findings are detailed in the paper "Unmasking the Shadows: A Cross-Country Study of Online Tracking in Illegal Movie Streaming Services," published in the 25th Privacy Enhancing Technologies Symposium (PETS 2025.2).
DOI: 10.14466/cefasdatahub.58
title: SmartBuoy Marine Observational Network - Phytoplankton Data 2001-2017

description: This dataset consists of analysed phytoplankton data from the years 2001-2017 inclusive collected from the SmartBuoy moorings at Celtic Deep, Dowsing, Gabbard/West Gabbard/WestGabbard2, Warp and Liverpool Bay using WMS and EDU automated water samplers. SmartBuoys consist of a 4 meter tall stainless steel frame with a fibreglass toroid for buoyancy. Instruments are attached at a nominal 1 meter depth to the frame. The water samplers collect into pre-spiked bags containing acidified Lugols Iodine on a pre-determined cycle over the course of a deployment. Following recovery these samples were analysed for a full community of phytoplankton species using the Utermohl method on high-power inverted microscopes. Phytoplankton cell counts are abundance values reported in Cells per Litre. These deployments form part of the National Marine Monitoring Programme (NMMP) funded by the UK Government's Department for Environment, Food and Rural Affairs (Defra). SmartBuoy phytoplankton data is primarily used for eutrophication monitoring and feeds into OSPAR and MSFD assessments.  Buoys have also been deployed as part of short term (up to 3 years) research contracts. Phytoplankton samples have been collected using SmartBuoys since April 2001 at a variety of locations in the North Sea, Irish Sea and Celtic Sea. Blanks in the dataset constitute information which is unavailable and should be treated as missing.