cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.8dq8h2
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Asquamiceps Zugmayer, 1911",
 "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 ((11.2741 -15.6621,11.2727 -16.1504,17.9648 -16.1504,17.9648 -7.1504,12.3365 -7.1504,12.3429 -7.1607,12.8524 -8.4392,12.5237 -8.8791,12.5024 -9.17,13.3428 -11.0863,13.2132 -11.9643,12.6132 -12.4537,12.0505 -13.2857,11.7929 -14.5817,11.546 -15.3352,11.2741 -15.6621))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011247-250525065834625/datasets/export for details.
DOI: 10.5281/zenodo.15560465
title: Local minima for the MgPt_n (n=2-12) clusters

description: XYZ files corresponding to the population of local minima for the MgPt_n (n=2-12) clusters computed at the TPSSh/Def2-TZVP level of theory.
DOI: 10.15468/dl.fqu6a8
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Asquamiceps Zugmayer, 1911",
 "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 ((44.9449 -26.0614,44.9648 -26.0621,44.9648 -25.1504,43.6164 -25.1504,43.93 -25.627,44.5871 -25.7989,44.9449 -26.0614))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011249-250525065834625/datasets/export for details.
DOI: 10.15468/dl.78dyxq
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Asquamiceps Zugmayer, 1911",
 "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 ((44.0031 -15.9691,43.978 -16.1504,44.9648 -16.1504,44.9648 -15.5455,44.7261 -15.708,44.2309 -15.7446,44.0031 -15.9691))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011250-250525065834625/datasets/export for details.
DOI: 10.6084/m9.figshare.29204609.v1
title: <b>Perspectives of N</b><b>on-Medical Professionals Working in a Mental Health Servi</b><b>ce</b><b> on Eating Disorders: Awareness, Knowledge, and Stigmatization</b>

description: Eating disorders (EDs) are serious mental health conditions often beginning in adolescence and associated with significant morbidity. This study aimed to examine the views and attitudes of non-medical mental health professionals toward EDs, and to assess their awareness, knowledge, and stigmatizing beliefs.<b> </b>A study-specific questionnaire was administered to non-medical professionals working in a mental health service in XXXXX, Turkey. Participants were randomly assigned to one of six clinical vignettes, each depicting a young person with anorexia nervosa (AN), bulimia nervosa, binge eating disorder (BED), avoidant restrictive food intake disorder (ARFID), depression, or type-1 diabetes.<b> </b>Forty-two professionals participated. Only 28.6% (n=12) correctly identified the disorder in their assigned vignette. BED had the highest correct identification rate (50%). Knowledge about ARFID was notably low. Participants commonly believed EDs primarily affect females, are of short duration, less responsive to treatment, and that individuals are often blamed for their condition.<b> </b>Findings highlight limited awareness and knowledge of EDs—particularly AN and ARFID—among non-medical mental health staff. Misconceptions that EDs are self-inflicted or trivial emphasize the need for targeted anti-stigma and educational initiatives.
DOI: 10.6084/m9.figshare.29204609
title: <b>Perspectives of N</b><b>on-Medical Professionals Working in a Mental Health Servi</b><b>ce</b><b> on Eating Disorders: Awareness, Knowledge, and Stigmatization</b>

description: Eating disorders (EDs) are serious mental health conditions often beginning in adolescence and associated with significant morbidity. This study aimed to examine the views and attitudes of non-medical mental health professionals toward EDs, and to assess their awareness, knowledge, and stigmatizing beliefs.<b> </b>A study-specific questionnaire was administered to non-medical professionals working in a mental health service in XXXXX, Turkey. Participants were randomly assigned to one of six clinical vignettes, each depicting a young person with anorexia nervosa (AN), bulimia nervosa, binge eating disorder (BED), avoidant restrictive food intake disorder (ARFID), depression, or type-1 diabetes.<b> </b>Forty-two professionals participated. Only 28.6% (n=12) correctly identified the disorder in their assigned vignette. BED had the highest correct identification rate (50%). Knowledge about ARFID was notably low. Participants commonly believed EDs primarily affect females, are of short duration, less responsive to treatment, and that individuals are often blamed for their condition.<b> </b>Findings highlight limited awareness and knowledge of EDs—particularly AN and ARFID—among non-medical mental health staff. Misconceptions that EDs are self-inflicted or trivial emphasize the need for targeted anti-stigma and educational initiatives.
DOI: 10.5281/zenodo.15560513
title: test
DOI: 10.5281/zenodo.15560512
title: test
DOI: 10.5281/zenodo.15560516
title: test
DOI: 10.15468/dl.m69vb2
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Asquamiceps Zugmayer, 1911",
 "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 ((44.6841 -13.2744,44.9648 -13.45,44.9648 -12.0572,44.6243 -11.5921,43.9413 -11.6518,43.8001 -11.0974,43.4999 -10.8854,43.0582 -10.9337,42.804 -11.2068,42.7621 -11.9579,43.3325 -12.7962,44.5603 -12.8747,44.6841 -13.2744))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011251-250525065834625/datasets/export for details.
DOI: 10.15468/dl.gnqxtp
title: Occurrence Download

description: A dataset containing 53418 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Brassica oleracea L."
 ]
}

 The dataset includes 53418 records from 670 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011236-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18357041
title: SuperDARN data in netCDF format (2003-Nov)

description: 2003-Nov SuperDARN radar data in netCDF format. These files were produced using version 3.0 of the public FitACF algorithm, using the AACGM v2 coordinate system. Cite this dataset if using our data in a publication.


The RST is available here: https://github.com/SuperDARN/rst



The research enabled by SuperDARN is due to the efforts of teams of scientists and engineers working in many countries to build and operate radars, process data and provide access, develop and improve data products, and assist users in interpretation.
Users of SuperDARN data and data products are asked to acknowledge this support in presentations and publications.
A brief statement on how to acknowledge use of SuperDARN data is provided below.




Users are also asked to consult with a SuperDARN PI prior to submission of work intended for publication.
A listing of radars and PIs with contact information can be found here:
(SuperDARN Radar Overview)



Recommended form of acknowledgement for the use of SuperDARN data:



'The authors acknowledge the use of SuperDARN data. SuperDARN is a collection of radars funded by national scientific funding agencies of Australia, Canada, China, France, Italy, Japan, Norway, South Africa, United Kingdom and the United States of America.'
DOI: 10.5281/zenodo.6728329
title: SuperDARN data in netCDF format (2003-Nov)

description: 2003-Nov SuperDARN radar data in netCDF format. These files were produced using version 3.0 of the public FitACF algorithm, using the AACGM v2 coordinate system. Cite this dataset if using our data in a publication.


The RST is available here: https://github.com/SuperDARN/rst



The research enabled by SuperDARN is due to the efforts of teams of scientists and engineers working in many countries to build and operate radars, process data and provide access, develop and improve data products, and assist users in interpretation.
Users of SuperDARN data and data products are asked to acknowledge this support in presentations and publications.
A brief statement on how to acknowledge use of SuperDARN data is provided below.




Users are also asked to consult with a SuperDARN PI prior to submission of work intended for publication.
A listing of radars and PIs with contact information can be found here:
(SuperDARN Radar Overview)



Recommended form of acknowledgement for the use of SuperDARN data:



'The authors acknowledge the use of SuperDARN data. SuperDARN is a collection of radars funded by national scientific funding agencies of Australia, Canada, China, France, Italy, Japan, Norway, South Africa, United Kingdom and the United States of America.'
DOI: 10.15468/dl.gjyzdj
title: Occurrence Download

description: A dataset containing 592108 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 IN ('SD', 'SS', 'MG', 'TD', 'CF', 'CD', 'CG')
 AND occurrence.occurrencestatus = 'PRESENT'
 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.classificationdetails['d7dddbf4-2cf0-4f39-9b2a-bb099caae36c']['specieskey'] &lt;&gt; '' 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 592108 records were derived from 2048 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008818-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ux72zk
title: Occurrence Download

description: A dataset containing 1639 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Observation, Human Observation, Material citation, Specimen)",
 "Country is Australia",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Adansonia gregorii F.Muell."
 ]
}

 The dataset includes 1639 records from 25 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001631-250424135625364/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.kmfxj5
title: Occurrence Download

description: A dataset containing 1639 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Observation, Human Observation, Material citation, Specimen)",
 "Country is Australia",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Adansonia gregorii F.Muell."
 ]
}

 The dataset includes 1639 records from 25 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001633-250424135625364/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.t9cyu6
title: Occurrence Download

description: A dataset containing 1639 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Observation, Material citation, Specimen)",
 "Country is Australia",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Adansonia gregorii F.Muell."
 ]
}

 The dataset includes 1639 records from 25 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001632-250424135625364/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xyt5wu
title: Occurrence Download

description: A dataset containing 206 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Culicoides paraensis (Goeldi, 1905)"
 ]
}

 The dataset includes 206 records from 20 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009846-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.et88dc
title: Occurrence Download

description: A dataset containing 34770721 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Myotis daubentonii (Leisler, 1819), Acrocephalus scirpaceus (Hermann, 1804), Ficedula hypoleuca (Pallas, 1764), Emberiza calandra Linnaeus, 1758, Acrocephalus arundinaceus (Linnaeus, 1758), Acrocephalus schoenobaenus (Linnaeus, 1758), Leucorrhinia pectoralis (Charpentier, 1825), Plecotus auritus (Linnaeus, 1758), Anas platyrhynchos Linnaeus, 1758, Lanius excubitor Linnaeus, 1758, Coronella austriaca Kristan, 1957, Aythya ferina (Linnaeus, 1758), Streptopelia decaocto (Frivaldszky, 1838), Ixobrychus minutus (Linnaeus, 1766), Aythya fuligula (Linnaeus, 1758), Lanius collurio Linnaeus, 1758, Nyctalus leisleri (Kuhl, 1817), Streptopelia turtur (Linnaeus, 1758), Nyctalus noctula (Schreber, 1774), Carduelis carduelis (Linnaeus, 1758), Phalacrocorax carbo (Linnaeus, 1758), Epidalea calamita (Laurenti, 1768), Lullula arborea (Linnaeus, 1758), Athene noctua (Scopoli, 1769), Ciconia ciconia (Linnaeus, 1758), Asio otus (Linnaeus, 1758), Pelophylax lessonae (Camerano, 1882), Hippolais icterina (Vieillot, 1817), Pernis apivorus (Linnaeus, 1758), Cygnus olor (J.F.Gmelin, 1789), Maculinea nausithous (Bergstrasser, 1779), Castor fiber Linnaeus, 1758, Cuculus canorus Linnaeus, 1758, Phoenicurus phoenicurus (Linnaeus, 1758), Charadrius dubius Scopoli, 1786, Podarcis muralis (Laurenti, 1768), Riparia riparia (Linnaeus, 1758), Sturnus vulgaris Linnaeus, 1758, Corvus frugilegus Linnaeus, 1758, Pipistrellus kuhlii (Natterer, 1819), Circus aeruginosus (Linnaeus, 1758), Hirundo rustica Linnaeus, 1758, Upupa epops Linnaeus, 1758, Mareca strepera strepera, Lacerta agilis Linnaeus, 1758, Delichon urbicum (Linnaeus, 1758), Tachybaptus ruficollis (Pallas, 1764), Tyto alba (Scopoli, 1769), Myotis nattereri (Kuhl, 1817), Podiceps cristatus (Linnaeus, 1758))",
 "Year is not null",
 "Year is one of (2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020, 2021, 2022, 2023)",
 "HasCoordinate is TRUE",
 "DecimalLatitude is greater than or equal to 44.95782311925129",
 "DecimalLatitude is less than or equal to 58.30331634439415",
 "DecimalLongitude is greater than or equal to -10.001896207643075",
 "DecimalLongitude is less than or equal to 30.31691447027875",
 "OccurrenceStatus is Present",
 "HasGeospatialIssue is FALSE"
 ]
}

 The dataset includes 34770721 records from 8109 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013860-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.7291/d1qq3h
title: Projected shifts in 21st century sardine distribution and catch in the California Current

description: Predicting changes in the abundance and distribution of small pelagic fish
 species in response to anthropogenic climate forcing is of paramount
 importance due to the ecological and socioeconomic importance of these
 species, especially in Eastern boundary current upwelling regions. Coastal
 upwelling systems are notorious for the wide range of spatial (from local
 to basin) and temporal (from days to decades) scales influencing their
 physical and biogeochemical environments and, thus, forage fish habitat.
 Bridging those scales can be achieved by using high-resolution regional
 models that integrate global climate forcing downscaled from coarser
 resolution earth system models. Here, “end-to-end” projections for 21st
 century sardine population dynamics and catch in the California Current
 system (CCS) are generated by coupling three dynamically downscaled earth
 system model solutions to an individual-based fish model and an
 agent-based fishing fleet model. Simulated sardine population biomass
 during 2000-2100 exhibits primarily low frequency (decadal) variability,
 and a progressive poleward shift driven by thermal habitat preference. The
 magnitude of poleward displacement varies noticeably under lower and
 higher warming conditions (500 and 800 km, respectively). Following the
 redistribution of the sardine population, catch is projected to increase
 by 50-70% in the northern CCS and decrease by 30-70% in the southern and
 central CCS. However, the late-century increase in sardine abundance (and
 hence, catch) in the northern CCS exhibits a large ensemble spread and is
 not statistically identical across the three downscaled projections.
 Overall, the results illustrate the benefit of using dynamical downscaling
 from multiple earth system models as input to high-resolution regional
 end-to-end (“physics to fish”) models for projecting population responses
 of higher trophic organisms to global climate change.
description: The dataset contains downscaled regional climate projections from
 an end-to-end ecosystem model for the California Current region. The
 end-to-end model includes a regional ocean circulation component, a
 nutrient-phytoplankton-zooplankton component, an individual-based fish
 population dynamics component, and an agent-based fishing fleet component.
 The downscaled climate projections encompass 2000-2100 and are based on
 the GFDL-ESM2M, IPSL-CM5A-MR, and Hadley-GEM2-ES earth system models under
 the Representative Concentration Pathway (RCP) 8.5 emission
 scenario.
description: See Metadata in NetCDF file.
DOI: 10.5061/dryad.f1vhhmgx5
title: Single species acute lethal toxicity tests are not predictive of relative population, community and ecosystem effects of two salinity types

description: Human mediated salinity increases are occurring in freshwaters globally,
 with consequent negative effects on freshwater biodiversity. Salinity
 comprises multiple anions and cations. While total concentrations are
 typically used to infer effects, individual ion concentrations and ion
 ratios are critical in determining effects. Moreover, estimates of
 toxicity from single species laboratory tests, may not accurately predict
 relative effects on populations, communities and ecosystems. Here we
 compare salinity increases from synthetic marine salts (SMS) and sodium
 bicarbonate (NaHCO3) in an outdoor mesocosm experiment in south-eastern
 Australia. We found different effects of salt types on stream
 macroinvertebrates at the population, community, and ecosystem function
 levels, where similar effects were predicted from single species
 laboratory tests. Our results caution against the use of single species
 laboratory derived toxicological data to predict both environmentally safe
 salinity levels and the relative effects of different salt sources on
 freshwater biodiversity.
description: We conducted an outdoor experiment using mesocosms holding ~900 L
 of water. This experiment was conducted at the same location, using
 identical methods to previous experiments in these mesocosms. Two salinity
 type treatments were used: NaHCO<sub>3</sub> or synthetic
 marine salt (SMS) dissolved in dechlorinated Canberra tap water. For both
 there were low and high levels (see papaer for details); plus a control
 (no salts added). All treatments including the control were replicated in
 four independent mesocosms (i.e. 20 mesocosms). Each mesocosm was stocked
 with macroinvertebrates, leaf packs (to measure decomposition) and
 emergent insect traps. There are three datasets from
 this mescosm experiment: 1. Benthic
 macroinvertebrates 2. Emergent adult insects
 3. Leaf decomposition