cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.ettxd7
title: Occurrence Download

description: A dataset containing 9025 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Monoblepharidomycetes"
 ]
}

 The dataset includes 9025 records from 145 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011691-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.r7gga6
title: Occurrence Download

description: A dataset containing 94 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Portugal",
 "OccurrenceStatus is Present",
 "TaxonKey is Lotus corniculatus subsp. corniculatus"
 ]
}

 The dataset includes 94 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011692-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2fwzxy
title: Occurrence Download

description: A dataset containing 10 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Eugenia malaccensis Reinw. ex Blume, 1850)",
 "BasisOfRecord is one of (Specimen, Human Observation, Observation, Living Specimen, Machine Observation, Literature Occurrence)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 10 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017791-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.nqrssw
title: Occurrence Download

description: A dataset containing 45 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Bidens pachyloma (Oliv. & Hiern) Cufod."
 ]
}

 The dataset includes 45 records from 15 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017792-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15347838
title: validation_ade_semantic
DOI: 10.5281/zenodo.15347839
title: validation_ade_semantic
DOI: 10.21227/5m8n-1582
title: "Incentive Mechanism for Task Diffusion in Social Network-Based Mobile Crowdsourcing"

description: "null"
DOI: 10.15468/dl.cs5k37
title: Occurrence Download

description: A dataset containing 6140 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Eugenia uniflora L.)",
 "BasisOfRecord is one of (Specimen, Human Observation, Observation, Living Specimen, Machine Observation, Literature Occurrence)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 6140 records from 262 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017794-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5284/1130629
title: Data from a Trial Trench Evaluation at St Mary's Church, Stoke Mandeville, Buckinghamshire, 2018-2022 (HS2 Phase One)

description: This collection comprises of reports, images, spreadsheets and site records from a trial trench evaluation carried out by L-P: Archaeology at St Mary's Church, Stoke Mandeville, Buckinghamshire between September 2018 and January 2019.
DOI: 10.15468/dl.m45sxj
title: Occurrence Download

description: A dataset containing 45 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Bidens pachyloma (Oliv. & Hiern) Cufod."
 ]
}

 The dataset includes 45 records from 15 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017797-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.nx8np5
title: Occurrence Download

description: A dataset containing 33025 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Month is March",
 "OccurrenceStatus is Present",
 "TaxonKey is one of (Acipenseriformes, Albuliformes, Amiiformes, Anguilliformes, Ateleopodiformes, Atheriniformes, Aulopiformes, Batrachoidiformes, Beloniformes, Beryciformes, Cetomimiformes, Characiformes, Clupeiformes, Cypriniformes, Cyprinodontiformes, Elopiformes, Esociformes, Gadiformes, Gasterosteiformes, Gobiesociformes, Gonorynchiformes, Gymnotiformes, Lampriformes, Lepisosteiformes, Lophiiformes, Mugiliformes, Myctophiformes, Notacanthiformes, Ophidiiformes, Osmeriformes, Osteoglossiformes, Perciformes, Percopsiformes, Pleuronectiformes, Polymixiiformes, Polypteriformes, Saccopharyngiformes, Salmoniformes, Scorpaeniformes, Siluriformes, Stephanoberyciformes, Stomiiformes, Synbranchiformes, Syngnathiformes, Tetraodontiformes, Zeiformes, Myxini, Petromyzontiformes, Holocephali, Elasmobranchii, Coelacanthiformes, Dipneusti)",
 "Year is 2025"
 ]
}

 The dataset includes 33025 records from 19 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017796-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25318/3710028501-eng
title: Characteristics and median employment income of postsecondary graduates 10 years after graduation, by educational qualification and field of study (alternative primary groupings)

description: Characteristics and median employment income of postsecondary graduates 10 years after graduation, by educational qualification (Classification of programs and credentials - professional degree variant) and field of study (Classification of Instructional Programs (CIP) Canada 2021 - alternative primary groupings).
DOI: 10.15468/dl.uqg7w8
title: Occurrence Download

description: A dataset containing 78 records in GBIF matching the query:
SELECT
 kingdom,
 kingdomkey,
 phylum,
 phylumkey,
 class,
 classkey,
 "order",
 orderkey,
 family,
 familykey,
 genus,
 genuskey,
 species,
 specieskey,
 "year",
 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.taxonkey = 2856180 OR occurrence.acceptedtaxonkey = 2856180 OR occurrence.kingdomkey = 2856180 OR occurrence.phylumkey = 2856180 OR occurrence.classkey = 2856180 OR occurrence.orderkey = 2856180 OR occurrence.familykey = 2856180 OR occurrence.genuskey = 2856180 OR occurrence.specieskey = 2856180)
 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.occurrencestatus = 'PRESENT'
 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 78 records were derived from 15 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017793-250426092105405/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.28924754
title: Glitch in the Care System

description: This zine explores how the NHS App, as a tool of digital transformation, amplifies existing societal inequalities by disadvantaging not only those who lack access to digital tools, but also those who prefer face-to-face interactions with healthcare providers. It examines how digital exclusion - a recognised social determinant of health - is exacerbated by policies that assume digital-first solutions are universally desirable and accessible.
DOI: 10.6084/m9.figshare.28924754.v3
title: NHS App: Amplifying Digital Exclusion in the Pursuit of Efficiency

description: This zine explores how the NHS App, as a tool of digital transformation, amplifies existing societal inequalities by disadvantaging not only those who lack access to digital tools, but also those who prefer face-to-face interactions with healthcare providers. It examines how digital exclusion - a recognised social determinant of health - is exacerbated by policies that assume digital-first solutions are universally desirable and accessible.
DOI: 10.15468/dl.xnsfys
title: Occurrence Download

description: A dataset containing 2208 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.datasetkey = '4fa7b334-ce0d-4e88-aaae-2e0c138d049e'
 AND GBIF_WITHIN('POLYGON((85.98238 21.40715,86.74481 21.43097,86.83795 22.28438,85.97805 22.27788,85.98238 21.40715))', occurrence.decimallatitude, occurrence.decimallongitude) = TRUE
 AND occurrence.hascoordinate = TRUE
 AND occurrence.hasgeospatialissues = FALSE
 AND occurrence.occurrencestatus = 'PRESENT'
 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 2208 records were derived from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017776-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25574/30886
title: Chandra X-ray Observatory ObsId 30886

description: VLA+Chandra observations of two TDEs with evidence of off-axis jets
DOI: 10.15468/dl.gyhar3
title: Occurrence Download

description: A dataset containing 146 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Melicope latifolia (DC.) T.G.Hartley)",
 "BasisOfRecord is one of (Specimen, Human Observation, Observation, Living Specimen, Machine Observation, Literature Occurrence)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 146 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017802-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.42mpsc
title: Occurrence Download

description: A dataset containing 496368 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is one of (Asia, Oceania)",
 "Country is one of (Indonesia, Papua New Guinea)",
 "GadmGid is IDN",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Plantae"
 ]
}

 The dataset includes 496368 records from 218 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017798-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4h7frj
title: Occurrence Download

description: A dataset containing 80 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Netherlands",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "License is one of (CC0 1.0, CC-BY 4.0)",
 "TaxonKey is Meles meles (Linnaeus, 1758)"
 ]
}

 The dataset includes 80 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017804-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25318/3710028501-fra
title: Caractéristiques et revenu d'emploi médian des diplômés postsecondaires 10 ans après l'obtention du titre scolaire, selon le titre scolaire et le domaine d'études (regroupements principaux alternatifs)

description: Caractéristiques et revenu d'emploi médian des diplômés postsecondaires 10 ans après l'obtention du titre scolaire, selon le titre scolaire (Classification des programmes et des sanctions d'études - variante grade professionnel) et le domaine d'études (Classification des programmes d'enseignement (CPE) Canada 2021 - Regroupements principaux alternatifs).
DOI: 10.5522/04/28768735
title: bpod_data: raw behavioral files for all sessions, not just for photometry

description: Dopaminergic action prediction errors serve as a value-free teaching signalAnimals’ choice behavior is characterized by two main tendencies: taking actions that led to rewards and repeating past actions. Theory suggests these strategies may be reinforced by different types of dopaminergic teaching signals: reward prediction error to reinforce value-based associations and movement-based action prediction errors to reinforce value-free repetitive associations. Here we use an auditory-discrimination task in mice to show that movement-related dopamine activity in the tail of the striatum encodes the hypothesized action prediction error signal. Causal manipulations reveal that this prediction error serves as a value-free teaching signal that supports learning by reinforcing repeated associations. Computational modelling and experiments demonstrate that action prediction errors alone cannot support reward-guided learning but when paired with the reward prediction error circuitry they serve to consolidate stable sound-action associations in a value-free manner. Together we show that there are two types of dopaminergic prediction errors that work in tandem to support learning, each reinforcing different types of association in different striatal areas.These are the behavioral data for all animals with all sessions, including the sessions with just behavior. Summary dataframes can be found under mousename/protocol/Data_Analysis/mousename_dataframe.pkl (protocol for the main behavior is Two_Alternative_Choice).
DOI: 10.5522/04/28768735.v1
title: bpod_data: raw behavioral files for all sessions, not just for photometry

description: Dopaminergic action prediction errors serve as a value-free teaching signalAnimals’ choice behavior is characterized by two main tendencies: taking actions that led to rewards and repeating past actions. Theory suggests these strategies may be reinforced by different types of dopaminergic teaching signals: reward prediction error to reinforce value-based associations and movement-based action prediction errors to reinforce value-free repetitive associations. Here we use an auditory-discrimination task in mice to show that movement-related dopamine activity in the tail of the striatum encodes the hypothesized action prediction error signal. Causal manipulations reveal that this prediction error serves as a value-free teaching signal that supports learning by reinforcing repeated associations. Computational modelling and experiments demonstrate that action prediction errors alone cannot support reward-guided learning but when paired with the reward prediction error circuitry they serve to consolidate stable sound-action associations in a value-free manner. Together we show that there are two types of dopaminergic prediction errors that work in tandem to support learning, each reinforcing different types of association in different striatal areas.These are the behavioral data for all animals with all sessions, including the sessions with just behavior. Summary dataframes can be found under mousename/protocol/Data_Analysis/mousename_dataframe.pkl (protocol for the main behavior is Two_Alternative_Choice).
DOI: 10.5522/04/28769620
title: old_APE_tracking: first three sessions tracking coords

description: Dopaminergic action prediction errors serve as a value-free teaching signalAnimals’ choice behavior is characterized by two main tendencies: taking actions that led to rewards and repeating past actions. Theory suggests these strategies may be reinforced by different types of dopaminergic teaching signals: reward prediction error to reinforce value-based associations and movement-based action prediction errors to reinforce value-free repetitive associations. Here we use an auditory-discrimination task in mice to show that movement-related dopamine activity in the tail of the striatum encodes the hypothesized action prediction error signal. Causal manipulations reveal that this prediction error serves as a value-free teaching signal that supports learning by reinforcing repeated associations. Computational modelling and experiments demonstrate that action prediction errors alone cannot support reward-guided learning but when paired with the reward prediction error circuitry they serve to consolidate stable sound-action associations in a value-free manner. Together we show that there are two types of dopaminergic prediction errors that work in tandem to support learning, each reinforcing different types of association in different striatal areas.<br>This is a tracking dataset with the output of deeplabcut for the first three sessions of training. Left ear, right ear, and nose are used for head direction in the paper.
DOI: 10.5522/04/28769620.v1
title: old_APE_tracking: first three sessions tracking coords

description: Dopaminergic action prediction errors serve as a value-free teaching signalAnimals’ choice behavior is characterized by two main tendencies: taking actions that led to rewards and repeating past actions. Theory suggests these strategies may be reinforced by different types of dopaminergic teaching signals: reward prediction error to reinforce value-based associations and movement-based action prediction errors to reinforce value-free repetitive associations. Here we use an auditory-discrimination task in mice to show that movement-related dopamine activity in the tail of the striatum encodes the hypothesized action prediction error signal. Causal manipulations reveal that this prediction error serves as a value-free teaching signal that supports learning by reinforcing repeated associations. Computational modelling and experiments demonstrate that action prediction errors alone cannot support reward-guided learning but when paired with the reward prediction error circuitry they serve to consolidate stable sound-action associations in a value-free manner. Together we show that there are two types of dopaminergic prediction errors that work in tandem to support learning, each reinforcing different types of association in different striatal areas.<br>This is a tracking dataset with the output of deeplabcut for the first three sessions of training. Left ear, right ear, and nose are used for head direction in the paper.
DOI: 10.15468/dl.dd6qq7
title: Occurrence Download

description: A dataset containing 1154320 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Ondatra zibethicus (Linnaeus, 1766)"
 ]
}

 The dataset includes 1154320 records from 762 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017800-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3bnj8d
title: Occurrence Download

description: A dataset containing 18000 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Month is April",
 "OccurrenceStatus is Present",
 "TaxonKey is one of (Acipenseriformes, Albuliformes, Amiiformes, Anguilliformes, Ateleopodiformes, Atheriniformes, Aulopiformes, Batrachoidiformes, Beloniformes, Beryciformes, Cetomimiformes, Characiformes, Clupeiformes, Cypriniformes, Cyprinodontiformes, Elopiformes, Esociformes, Gadiformes, Gasterosteiformes, Gobiesociformes, Gonorynchiformes, Gymnotiformes, Lampriformes, Lepisosteiformes, Lophiiformes, Mugiliformes, Myctophiformes, Notacanthiformes, Ophidiiformes, Osmeriformes, Osteoglossiformes, Perciformes, Percopsiformes, Pleuronectiformes, Polymixiiformes, Polypteriformes, Saccopharyngiformes, Salmoniformes, Scorpaeniformes, Siluriformes, Stephanoberyciformes, Stomiiformes, Synbranchiformes, Syngnathiformes, Tetraodontiformes, Zeiformes, Myxini, Petromyzontiformes, Holocephali, Elasmobranchii, Coelacanthiformes, Dipneusti)",
 "Year is 2025"
 ]
}

 The dataset includes 18000 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017809-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14732553
title: Dataset for: Recording of publication costs at research performing institutions in Germany

description: This dataset represents results from a survey on the recording of publication costs at research performing institutions in Germany. Representatives of universities, universities of applied sciences, institutes of non-university research institutions and federal departmental research institutions were addressed. Of the 583 people invited, 258 44.3 % took part in the survey.
DOI: 10.5281/zenodo.14732554
title: Dataset for: Recording of publication costs at research performing institutions in Germany

description: This dataset represents results from a survey on the recording of publication costs at research performing institutions in Germany. Representatives of universities, universities of applied sciences, institutes of non-university research institutions and federal departmental research institutions were addressed. Of the 583 people invited, 258 44.3 % took part in the survey.
DOI: 10.5281/zenodo.15349489
title: Monte Carlo Study of Critical Fermi Surface with Spatially Disordered Interactions

description: Raw data that supports the manuscript "Monte Carlo Study of Critical Fermi Surface with Spatially Disordered Interactions"
DOI: 10.5281/zenodo.15349490
title: Monte Carlo Study of Critical Fermi Surface with Spatially Disordered Interactions

description: Raw data that supports the manuscript "Monte Carlo Study of Critical Fermi Surface with Spatially Disordered Interactions"
DOI: 10.5281/zenodo.15349446
title: Field campaign at Lentini - June 28 2023 - V1
DOI: 10.5281/zenodo.15349447
title: Field campaign at Lentini - June 28 2023 - V1