cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.3535/flz-9pd-r70
title: Cnidaria

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/2ww-61n-973
title: Tubipora Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/ge5-sx8-3br
title: Cnidaria

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/cj2-qq8-tqh
title: †Ovalastrea d'Orbigny, 1849

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/cv8-gyd-y62
title: Echinodermata

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/2cy-zk5-8d9
title: †Spiriferina d'Orbigny, 1847

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/eh7-hra-l3s
title: Cnidaria

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/fj8-1q1-05t
title: Cnidaria

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/pks-y54-a4e
title: Cnidaria

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/9n2-7rl-97z
title: Cnidaria

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.5281/zenodo.16905164
title: Data set 214 interviews with researchers on the use of GenAI tools in qualitative research processes

description: This dataset contains anonymized responses from 214 researchers across diverse disciplines, collected through semi-structured interviews exploring the use of generative artificial intelligence (GenAI) tools in qualitative research processes. The data captures a wide range of practices, perceptions, barriers, and applications related to the integration of GenAI technologies, such as ChatGPT, NVivo with AI modules, and literature discovery tools, into tasks like data analysis, transcription, writing assistance, and literature review. The dataset is structured according to a coding framework that includes 5 categories: C1. Ethical implications of GenAI in qualitative research, C2. Protocols and guidelines to ensure ethical use of GenAI in qualitative research, C3. Use and practical implications of GenAI in qualitative research, C4. GenAI applications used in qualitative research and C5. Barriers to the adoption of GenAI in qualitative research. This dataset has been used for the development of the scientific article titled “Voices of Researchers: Ethics and Artificial Intelligence in Qualitative Inquiry.”
DOI: 10.5281/zenodo.16905165
title: Data set 214 interviews with researchers on the use of GenAI tools in qualitative research processes

description: This dataset contains anonymized responses from 214 researchers across diverse disciplines, collected through semi-structured interviews exploring the use of generative artificial intelligence (GenAI) tools in qualitative research processes. The data captures a wide range of practices, perceptions, barriers, and applications related to the integration of GenAI technologies, such as ChatGPT, NVivo with AI modules, and literature discovery tools, into tasks like data analysis, transcription, writing assistance, and literature review. The dataset is structured according to a coding framework that includes 5 categories: C1. Ethical implications of GenAI in qualitative research, C2. Protocols and guidelines to ensure ethical use of GenAI in qualitative research, C3. Use and practical implications of GenAI in qualitative research, C4. GenAI applications used in qualitative research and C5. Barriers to the adoption of GenAI in qualitative research. This dataset has been used for the development of the scientific article titled “Voices of Researchers: Ethics and Artificial Intelligence in Qualitative Inquiry.”
DOI: 10.3535/p7r-42r-mkc
title: Cnidaria

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/yz3-xw8-r3w
title: Cnidaria

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/80d-88n-g5q
title: Cnidaria

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/e5n-1l2-m9t
title: Bos taurus Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/b1b-q06-1rn
title: Cephalopoda Cuvier, 1795

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/t58-02d-31e
title: Anthozoa

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/7wy-p7j-c5r
title: Cnidaria

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/7wg-v7j-mzq
title: Cnidaria

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/p7y-kwn-cvm
title: †Heterocoenia Milne Edwards & Haime, 1848

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/mep-mn6-85r
title: Porifera Grant, 1836

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/b3d-wts-9y8
title: Brachiopoda Duméril, 1805

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/w8y-5en-j5m
title: Cnidaria

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/wql-c9h-ay6
title: Cnidaria

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/hec-cex-7e7
title: Cnidaria

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/q9e-4ym-8yk
title: Cnidaria

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/80g-9ld-z17
title: Animalia

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/mnn-qae-jyg
title: Insecta

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/6jk-at2-aq4
title: Rhacophyllites

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/myd-1q7-ls2
title: Animalia

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/5tb-mfd-4d7
title: †Ammonoidea

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/wt4-5za-p74
title: Cnidaria

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/md7-qjm-w1t
title: Brachiopoda Duméril, 1805

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/w4r-42n-dnp
title: Brachiopoda Duméril, 1805

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.26093/cds/vizier.34790131
title: Near-IR spectra of inner red giants

description: VizieR online Data Catalogue associated with article published in journal Astronomy and Astrophysics with title ' Metallicity distribution of red giants in the Inner Galaxy from near infrared spectra.' (bibcode: 2008A&A...479..131G)
DOI: 10.15468/dl.p9cakb
title: Occurrence Download

description: A dataset containing 83140 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Eudyptes chrysolophus (Brandt, 1837)",
 "HasCoordinate is true",
 "DecimalLatitude is greater than -90",
 "DecimalLatitude is less than 10",
 "DecimalLongitude is greater than -180",
 "OccurrenceStatus is Present",
 "Year is greater than or equal to 1950",
 "Year is less than or equal to 2014"
 ]
}

 The dataset includes 83140 records from 42 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002470-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/923nj6rkdb.1
title: Dissecting the Overlaps. Evaluation of the Relationships Between Neurological Soft Signs, Schizotypy and Interoceptive Awareness in Obsessive Compulsive Disorder.

description: Obsessive Compulsive Disorder's (OCD) etiology remains unknown. Identifying the relationships between neurological noft signs (NSSs), schizotypy, and interoceptive awareness may be helpful to clarify the neurodevelopment of OCD. In this cross-sectional study; relations between neurological soft signs, schizotypal traits and interoceptive awareness was evaluated. Between April 2023 and August 2023, thirty participants who applied to the Psychiatry Outpatient and Inpatient Clinics of Gazi University, Department of Psychiatry and diagnosed as obsessive compulsive disorder were included in this study. Thirty healthy subjects without any psychiatric or neurological diseases were included in as the control group. All the participants were required to fill out sociodemographic information form, Schizotypal Personality Questionnaire (SPQ), Multidimensional Assessment of Interoceptive Awareness-2 (MAIA-2), Hospital Anxiety and Depression Scale (HADS) and Yale Brown Obsessive Compulsive Scale (Y-BOCS). All subjects were examined for neurological soft signs by using the Neurological Evaluation Scale (NES). There was no significant difference between the groups in terms of age, gender, hand, foot, and eye preferences, and cerebral dominance. In the patient group analysis, there was a negative correlation between MAIA-2-Not Distracting subscale and NES-Sensorimotor Integration and NES-Other subscales; MAIA-2-Noticing subscale and SPQ-Interpersonal Schizotypy and SPQ-Disorganized Schizotypy sub-dimensions; MAIA-2-Trusting subscale and all SPQ sub-dimensions. It was thought that the study results could contribute to the understanding of the neurodevelopmental aspects of OCD.
DOI: 10.48597/kjky-t6vg
title: Aerosol_optical_depth at Troll

description: Measurement of Aerosol_optical_depth at Troll
DOI: 10.48597/rnfs-m465
title: Aerosol_optical_depth at Troll

description: Measurement of Aerosol_optical_depth at Troll
DOI: 10.48597/urwn-h46g
title: Aerosol_optical_depth at Troll

description: Measurement of Aerosol_optical_depth at Troll
DOI: 10.15468/dl.mnzggr
title: Occurrence Download

description: A dataset containing 10 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is NSW AVH feed",
 "Country is Croatia"
 ]
}

 The dataset includes 10 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032241-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.10911277
title: Replication package for: Disability and risk preferences: Experimental and survey evidence from Vietnam

description: The replication package contains all data files and programs (Stata) in order to reproduce the tables and figures of the manuscript.
DOI: 10.5281/zenodo.16924821
title: Replication package for: Disability and risk preferences: Experimental and survey evidence from Vietnam

description: The replication package contains all data files and programs (Stata) in order to reproduce the tables and figures of the manuscript.
DOI: 10.48597/3znv-njjs
title: Measurement of Heavy metals and inorganics in air and particle phase at Storhofdi

description: Measurement of Heavy metals and inorganics in air and particle phase at Storhofdi
DOI: 10.5524/102756
title: Supporting data for "A Retrieval-Augmented Knowledge Mining Method with Deep Thinking LLMs for Biomedical Research and Clinical Support"

description: Knowledge graphs and large language models (LLMs) are key tools for biomedical knowledge integration and reasoning, facilitating structured organization of scientific articles and discovery of complex semantic relationships. However, current methods face challenges: knowledge graph construction is limited by complex terminology, data heterogeneity, and rapid knowledge evolution, while LLMs show limitations in retrieval and reasoning, making it difficult to uncover cross-document associations and reasoning pathways.<br>We propose a pipeline that uses LLMs to construct a biomedical knowledge graph (BioStrataKG) from large-scale articles and builds a cross-document question-answering dataset (BioCDQA) to evaluate latent knowledge retrieval and multi-hop reasoning. We then introduce Integrated and Progressive Retrieval-Augmented Reasoning (IP-RAR) to enhance retrieval accuracy and knowledge reasoning. IP-RAR maximizes information recall through Integrated Reasoning-based Retrieval and refines knowledge via Progressive Reasoning-based Generation, using self-reflection to achieve deep thinking and precise contextual understanding. Experiments show that IP-RAR improves document retrieval F1 score by 20% and answer generation accuracy by 25% over existing methods.<br>The IP-RAR helps doctors efficiently integrate treatment evidence to inform the development of personalized medication plans and enables researchers to analyze advancements and research gaps, accelerating the hypothesis generation phase of scientific discovery and decision-making.
DOI: 10.15468/dl.d8eqms
title: Occurrence Download

description: A dataset containing 169 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is University of Vermont, Pringle Herbarium",
 "Country is Croatia"
 ]
}

 The dataset includes 169 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032243-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.m93skq
title: Occurrence Download

description: A dataset containing 5219108 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is New Zealand",
 "DatasetKey is EOD – eBird Observation Dataset",
 "Year 2017-2023"
 ]
}

 The dataset includes 5219108 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032195-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4msw5u
title: Occurrence Download

description: A dataset containing 18 species occurrences available in GBIF matching the query:
{
 "and" : [
 "VerbatimScientificName is Elminius modestus",
 "OccurrenceStatus is Absent"
 ]
}

 The dataset includes 18 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032244-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.z5tujh
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "VerbatimScientificName is Orthezia insignis (current prefered name: Insignorthezia insignis)",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032245-250811113504898/datasets/export for details.
DOI: 10.5281/zenodo.16911697
title: Geometric control of hyperbolic exciton-polariton condensate dimers
DOI: 10.5281/zenodo.16911698
title: Geometric control of hyperbolic exciton-polariton condensate dimers
DOI: 10.15468/dl.tr3aaq
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "VerbatimScientificName is Orthezia insignis (current prefered name: Insignorthezia insignis)",
 "OccurrenceStatus is Absent"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032246-250811113504898/datasets/export for details.
DOI: 10.15468/dl.y7g5k2
title: Occurrence Download

description: A dataset containing 5 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Castor canadensis",
 "Country is Poland",
 "HasCoordinate is true"
 ]
}

 The dataset includes 5 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032248-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.yjjr28
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Castor canadensis",
 "Country is Luxembourg",
 "HasCoordinate is true"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032247-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8kzxj7
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Castor canadensis",
 "Country is Portugal",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032251-250811113504898/datasets/export for details.
DOI: 10.15468/dl.am35u7
title: Occurrence Download

description: A dataset containing 3895 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON((26.23934 44.50897,26.21331 44.49613,26.18914 44.48743,26.15606 44.45987,26.15155 44.41451,26.15975 44.38306,26.16971 44.37022,26.20051 44.34142,26.23258 44.32928,26.273 44.32595,26.28985 44.32578,26.33732 44.33678,26.36665 44.3546,26.38856 44.39777,26.3884 44.44739,26.38224 44.46236,26.36012 44.48549,26.3533 44.49014,26.30912 44.50796,26.28077 44.51447,26.26501 44.5108,26.25951 44.50933,26.23934 44.50897))"
 ]
}

 The dataset includes 3895 records from 43 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032249-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15272628
title: Dataset: Scaling particle-size segregation in wide-ranging sheared granular flows

description: 1.raw/: Output files from LIGGGHTS.

raw/<number>mm: Intruder information from intruder cases. The filenames (eg. 3mm) indicate the intruder diameter sizes.raw/background: Granular column particles information.raw/force_chain: Force chain information used to calculate pressure and shear stress in the granular column.

2.postProcess/: Postprocessed partice information.

postProcess/background information: The volume fraction, velocity, shear rate, pressure, shear stress and inertial number of the granluar column.postProcess/trajectory: The trajectories of intruder particles form all cases.postProcess/checkpoint: The checkpoint height (1st column) and the time intruder passing it (2nd column) from all cases.postProcess/IntruderVelocity: The velocity of intruder particels from all cases.postProcess/mixtureCases: Center of mass and components concentration information in 3 mixture cases (M1-M3).

3.plottingCode/: The python script used for the figure plotting. The filenames (eg. 1.py) stand for the figure number in the manuscript.
DOI: 10.5281/zenodo.15272629
title: Dataset: Scaling particle-size segregation in wide-ranging sheared granular flows

description: 1.raw/: Output files from LIGGGHTS.

raw/<number>mm: Intruder information from intruder cases. The filenames (eg. 3mm) indicate the intruder diameter sizes.raw/background: Granular column particles information.raw/force_chain: Force chain information used to calculate pressure and shear stress in the granular column.

2.postProcess/: Postprocessed partice information.

postProcess/background information: The volume fraction, velocity, shear rate, pressure, shear stress and inertial number of the granluar column.postProcess/trajectory: The trajectories of intruder particles form all cases.postProcess/checkpoint: The checkpoint height (1st column) and the time intruder passing it (2nd column) from all cases.postProcess/IntruderVelocity: The velocity of intruder particels from all cases.postProcess/mixtureCases: Center of mass and components concentration information in 3 mixture cases (M1-M3).

3.plottingCode/: The python script used for the figure plotting. The filenames (eg. 1.py) stand for the figure number in the manuscript.
DOI: 10.15468/dl.3hdzsf
title: Occurrence Download

description: A dataset containing 422 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Antarctic Krill Euphausia superba"
 ]
}

 The dataset includes 422 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032252-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.939p78
title: Occurrence Download

description: A dataset containing 5813726 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Melinis minutiflora, Jatropha curcas, Bactrocera cucurbitae, Tradescantia spathacea, Asystasia gangetica, Ipomoea indica, Rumex crispus, Trifolium repens, Synedrella nodiflora, Ligustrum sinense, Plantago lanceolata, Populus alba, Chenopodium album, Linepithema humile, Codium fragile, Cherax quadricarinatus, Ovis aries musimon, Nyctereutes procyonoides, Tribulus terrestris, Asclepias syriaca, Avena fatua, Cryptostegia grandiflora, Campylopus introflexus, Hyptis capitata, Passiflora suberosa, Amaranthus hybridus, Hedychium, Senna tora, Pilea microphylla, Commelina diffusa, Triumfetta rhomboidea, Senecio inaequidens, Passiflora edulis, Cyperus difformis, Chloris barbata, Cordylophora caspia, Dactyloctenium aegyptium, Brugmansia suaveolens, Jatropha gossypiifolia, Panicum repens, Ameiurus melas, Apis mellifera, Bugula neritina, Equus asinus, Melanoides tuberculata, Conium maculatum, Foeniculum vulgare, Acacia longifolia, Sonchus asper, Eucalyptus globulus)",
 "BasisOfRecord is one of (Machine Observation, Human Observation, Observation)",
 "HasCoordinate is true",
 "Year is greater than or equal to 1990"
 ]
}

 The dataset includes 5813726 records from 6310 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032227-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8r3dn4
title: Occurrence Download

description: A dataset containing 13 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Country is Chile",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Solanum lycopersicoides"
 ]
}

 The dataset includes 13 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028909-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.e3w4bg
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Lilium tianschanicum N.A.Ivanova ex Grubov",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Human Observation, Observation)"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0030419-250426092105405/datasets/export for details.