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

description: A dataset containing 69829 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Falcaria lacertinaria (Linnaeus, 1758), Ferdinandea cuprea (Scopoli, 1763), Ferdinandea ruficornis (Fabricius, 1775), Floronia bucculenta (Clerck, 1757), Formica aquilonia Yarrow, 1955, Formica cunicularia Latreille, 1798, Formica exsecta Nylander, 1846, Formica fusca Linnaeus, 1758, Formica lemani Bondroit, 1917, Formica lugubris Zetterstedt, 1838, Formica picea Nylander, 1846, Formica rufa Linnaeus, 1761, Formica rufibarbis Fabricius, 1793, Formica sanguinea Latreille, 1798, Formicoxenus nitidulus (Nylander, 1846), Furcula bicuspis (Borkhausen, 1790), Furcula bifida (Brahm, 1787), Furcula furcula (Clerck, 1759))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "Country is United Kingdom of Great Britain and Northern Ireland",
 "Year is greater than 1990",
 "Year is less than 2021"
 ]
}

 The dataset includes 69829 records from 121 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0048761-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.24403/jp.1472327
title: Hoschek, Jutta: Ausgelöschtes Leben : Juden in Erfurt 1933-1945 ; Biographische Dokumentation, herausgegeben von der Landeshauptstadt Erfurt und dem Netzwerk „Jüdisches Leben Erfurt“. - Jena : Verlag Vopelius, 2013 / [rezensiert von] Steffen Raßloff
DOI: 10.6084/m9.figshare.29092292
title: Supplementary Material for: Prescription Opioid Medication Survey: A tool to collect deep phenotypic data on the multifactorial pathways to opioid use disorder in clinical and population-based cohorts

description: We are in the midst of an opioid epidemic. In the United States, more than a third of the country knows someone who has died from an opioid overdose. Prescription opioids (e.g., oxycodone, hydrocodone, and fentanyl) are commonly used and misused, and it has been estimated that approximately 8-12% of individuals who misuse opioids will subsequently develop an opioid use disorder (OUD). While emphasis has been placed on understanding OUD and the associated adverse effects, there remains a critical gap in systematically characterizing the multifactorial pathways (e.g., behavioral, clinical, genetic, and socio-demographic characteristics) that contribute to the transition from initial use to misuse to OUD. To address this gap, we introduce the Prescription Opioid Medication Survey (POMS), an online 120-item assessment that compiles multiple validated and standardized instruments. POMS is intended for individuals with any lifetime prescription opioid use. POMS captures various aspects of prescription opioid use including data on opioid use patterns, subjective effects (e.g., euphoria, nausea), problematic use, withdrawal, OUD, overdose, treatment history, and remission. It also addresses comorbid risk factors such as surgical history, chronic pain, other substance use disorders (SUD; e.g., nicotine, alcohol, cannabis, stimulants), other addictive behaviors (i.e., gambling, sexual behaviors, and gaming), and family history of SUD and other addictive behaviors. Mental health assessments, including screening for depression and anxiety, self-reports of eight psychiatric disorders (anxiety, depression, bipolar, schizophrenia, attention deficit hyperactivity disorder, post-traumatic stress disorder, obsessive-compulsive disorder, eating disorders) and related mental health conditions (e.g., loneliness, suicide, trauma) are included, along with data on personality traits (e.g., risk-taking, delay discounting, wisdom) and socio-demographic factors. POMS is intended to be administered in clinical settings and large population-based cohorts, facilitating data collection that can enable discoveries to inform better prevention and intervention strategies for OUD.
DOI: 10.6084/m9.figshare.29092292.v2
title: Supplementary Material for: Prescription Opioid Medication Survey: A tool to collect deep phenotypic data on the multifactorial pathways to opioid use disorder in clinical and population-based cohorts

description: We are in the midst of an opioid epidemic. In the United States, more than a third of the country knows someone who has died from an opioid overdose. Prescription opioids (e.g., oxycodone, hydrocodone, and fentanyl) are commonly used and misused, and it has been estimated that approximately 8-12% of individuals who misuse opioids will subsequently develop an opioid use disorder (OUD). While emphasis has been placed on understanding OUD and the associated adverse effects, there remains a critical gap in systematically characterizing the multifactorial pathways (e.g., behavioral, clinical, genetic, and socio-demographic characteristics) that contribute to the transition from initial use to misuse to OUD. To address this gap, we introduce the Prescription Opioid Medication Survey (POMS), an online 120-item assessment that compiles multiple validated and standardized instruments. POMS is intended for individuals with any lifetime prescription opioid use. POMS captures various aspects of prescription opioid use including data on opioid use patterns, subjective effects (e.g., euphoria, nausea), problematic use, withdrawal, OUD, overdose, treatment history, and remission. It also addresses comorbid risk factors such as surgical history, chronic pain, other substance use disorders (SUD; e.g., nicotine, alcohol, cannabis, stimulants), other addictive behaviors (i.e., gambling, sexual behaviors, and gaming), and family history of SUD and other addictive behaviors. Mental health assessments, including screening for depression and anxiety, self-reports of eight psychiatric disorders (anxiety, depression, bipolar, schizophrenia, attention deficit hyperactivity disorder, post-traumatic stress disorder, obsessive-compulsive disorder, eating disorders) and related mental health conditions (e.g., loneliness, suicide, trauma) are included, along with data on personality traits (e.g., risk-taking, delay discounting, wisdom) and socio-demographic factors. POMS is intended to be administered in clinical settings and large population-based cohorts, facilitating data collection that can enable discoveries to inform better prevention and intervention strategies for OUD.
DOI: 10.6084/m9.figshare.29092292.v1
title: Supplementary Material for: Prescription Opioid Medication Survey: A tool to collect deep phenotypic data on the multifactorial pathways to opioid use disorder in clinical and population-based cohorts

description: We are in the midst of an opioid epidemic. In the United States, more than a third of the country knows someone who has died from an opioid overdose. Prescription opioids (e.g., oxycodone, hydrocodone, and fentanyl) are commonly used and misused, and it has been estimated that approximately 8-12% of individuals who misuse opioids will subsequently develop an opioid use disorder (OUD). While emphasis has been placed on understanding OUD and the associated adverse effects, there remains a critical gap in systematically characterizing the multifactorial pathways (e.g., behavioral, clinical, genetic, and socio-demographic characteristics) that contribute to the transition from initial use to misuse to OUD. To address this gap, we introduce the Prescription Opioid Medication Survey (POMS), an online 120-item assessment that compiles multiple validated and standardized instruments. POMS is intended for individuals with any lifetime prescription opioid use. POMS captures various aspects of prescription opioid use including data on opioid use patterns, subjective effects (e.g., euphoria, nausea), problematic use, withdrawal, OUD, overdose, treatment history, and remission. It also addresses comorbid risk factors such as surgical history, chronic pain, other substance use disorders (SUD; e.g., nicotine, alcohol, cannabis, stimulants), other addictive behaviors (i.e., gambling, sexual behaviors, and gaming), and family history of SUD and other addictive behaviors. Mental health assessments, including screening for depression and anxiety, self-reports of eight psychiatric disorders (anxiety, depression, bipolar, schizophrenia, attention deficit hyperactivity disorder, post-traumatic stress disorder, obsessive-compulsive disorder, eating disorders) and related mental health conditions (e.g., loneliness, suicide, trauma) are included, along with data on personality traits (e.g., risk-taking, delay discounting, wisdom) and socio-demographic factors. POMS is intended to be administered in clinical settings and large population-based cohorts, facilitating data collection that can enable discoveries to inform better prevention and intervention strategies for OUD.
DOI: 10.15468/dl.xtmj6r
title: Occurrence Download

description: A dataset containing 4234 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "Country is one of (New Zealand)",
 {
 "not" : {
 "Issue" : [
 "is Country coordinate mismatch"
 ]
 }
 }
 ]
 },
 {
 "and" : [
 "TaxonKey is one of (Porphyrio hochstetteri (A.B.Meyer, 1883), Porphyrio melanotus melanotus)",
 "MediaType is one of (Image)",
 "BasisOfRecord is one of (Human Observation)",
 "OccurrenceStatus is one of (Present)"
 ]
 }
 ]
}

 The dataset includes 4234 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0048766-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15673670
title: eDNA data for Drainage Reorganization and Intraspecific Genetic Diversity of Riverine Fish in the Ligurian Alps and Northern Apennines

description: eDNA data used in Drainage Reorganization and Intraspecific Genetic Diversity of Riverine Fish in the Ligurian Alps and Northern Apennines (Vance & Kirschner et al., 2025), including amplicon sequence variants (ASVs) assigned to species Telestes muticellus and calculated values of mean pairwise genetic distance (betaMPD) between sequences detected at sampling sites.
DOI: 10.5281/zenodo.6497799
title: Dataset: FTFs and flame images

description: Two datasets associated with the papers [1, 2]. Both datasets contain flame shapes, flame transfer functions (FTFs), and a summary of operating conditions for a range of perfectly premixed hydrogen/methane/ethylene flames. Please cite the original papers below.

[1] E. Æsøy, J. G. Aguilar, S. Wiseman, M. R. Bothien, N. A. Worth, J. R. Dawson, Scaling and prediction of transfer functions in lean premixed h2/ch4-flames, Combustion and Flame 215 (2020) 269–282.

[2] H. T. Nygåard, N. A. Worth, Flame transfer functions and dynamics of a closely confined premixed bluff body stabilized flame with swirl, Journal of Engineering for Gas Turbines and Power 143 (2021).
DOI: 10.5281/zenodo.6497798
title: Dataset: FTFs and flame images

description: Two datasets associated with the papers [1, 2]. Both datasets contain flame shapes, flame transfer functions (FTFs), and a summary of operating conditions for a range of perfectly premixed hydrogen/methane/ethylene flames. Please cite the original papers below.

[1] E. Æsøy, J. G. Aguilar, S. Wiseman, M. R. Bothien, N. A. Worth, J. R. Dawson, Scaling and prediction of transfer functions in lean premixed h2/ch4-flames, Combustion and Flame 215 (2020) 269–282.

[2] H. T. Nygåard, N. A. Worth, Flame transfer functions and dynamics of a closely confined premixed bluff body stabilized flame with swirl, Journal of Engineering for Gas Turbines and Power 143 (2021).
DOI: 10.15468/dl.q26g92
title: Occurrence Download

description: A dataset containing 83147 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is one of (EOD – eBird Observation Dataset, iNaturalist Research-grade Observations)",
 "Geometry POLYGON((89.09761 21.59582,89.76965 21.56293,90.28253 21.64515,90.86614 21.85869,91.16679 21.90792,91.50282 22.28481,91.71504 22.12107,91.87421 21.48067,92.26329 20.88702,92.21023 21.23361,92.10412 22.08829,91.73273 22.677,91.50282 22.74225,91.07837 22.90526,90.63623 23.10061,90.33558 22.95412,89.45131 22.87268,88.88538 22.677,89.09761 21.59582))",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Aves"
 ]
}

 The dataset includes 83147 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0048762-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.18112/openneuro.ds005815.v2.0.0
title: YOTO (You Only Think Once): An EEG Dataset for Tracking Spontaneous Cognitive Transitions and Multimodal Stimuli Responses in Resting-State and Task Phases
DOI: 10.5281/zenodo.15583373
title: Carbon and nitrogen δ13C, δ15N) isotopic fingerprint of zooplankton in Lake Maggiore: a 13years' dataset (2010-2022)

description: We present a dataset of 2168 analyses of carbon and nitrogen stable isotopes’ fingerprint (d13C‰, d15CN‰) and carbon and nitrogen contents (C%, N%) of zooplankton taxa, including copepods’ developmental stages, and of pooled organisms in three size fractions, ≥80 µm, ≥450 µm and ≥850 µm from Lake Maggiore (Italy). We also include 1232 data on Standing Stock Density and Biomass (SSD and SSB) of the ≥450 µm and ≥850 µm samples. The dataset resulted from a monitoring program on pelagic zooplankton and persistent organic pollutants funded by the Commissione Internazionale per la Protezione delle Acque Italo-Svizzere (CIPAIS) during 2010-2022. The data allow for investigation of trophic relationships within the zooplankton community and with respect to fish in the large, deep subalpine Lake Maggiore, providing a basis for modelling transfer of persistent organic pollutants through the pelagic food web. Data on seasonal changes in POPs (DDTs and PCBs) and mercury concentrations of zooplankton size fractions ≥450 µm and ≥850 µm are already available, allowing quantitative estimates of pollutants’ transfer to the upper trophic levels, which are essential for developing realistic predictive models.
DOI: 10.34740/kaggle/dsv/12182638
title: Full TMDB Movies Dataset 2024 (1M Movies)
DOI: 10.24403/jp.1472328
title: Beiträge zur architekturbezogenen Kunst in Erfurt von 1949 bis 1989. - Stadt und Geschichte : Zeitschrift für Erfurt ; Sonderheft 14, [2013]. - Die Pädagogische Hochschule Erfurt-Mühlhausen : Beiträge zur Geschichte. - Stadt und Geschichte : Zeitschrift für Erfurt ; Sonderheft 15, [2013] / [rezensiert von] Ulrike Wollenhaupt-Schmidt, Steffen Raßloff
DOI: 10.5281/zenodo.15673711
title: Exploring the Artificial Intelligence Era in Influencing Self-Paced Learning :  Systematic and Bibliometric Review Literature
DOI: 10.5281/zenodo.15673712
title: Exploring the Artificial Intelligence Era in Influencing Self-Paced Learning :  Systematic and Bibliometric Review Literature
DOI: 10.15468/dl.e96n65
title: Occurrence Download

description: A dataset containing 100 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "GadmGid is CHN.18_1",
 "TaxonKey is Hynobius leechii Boulenger, 1887"
 ]
}

 The dataset includes 100 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0048769-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gyfk8e
title: Occurrence Download

description: A dataset containing 1534 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Dioscorea acanthogene Rusby, Dioscorea alainii Raz, Dioscorea amazonum Mart. ex Griseb.)",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 1534 records from 123 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0048771-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.24403/jp.1472329
title: Kummer, Michael: Die ungleichen Bedingungen des FC Rot-Weiß Erfurt und FC Carl Zeiss Jena in der DDR. - Eisenach : Tulpe Verlag, 2012 / [rezensiert von] Bertram Triebel
DOI: 10.5281/zenodo.14835824
title: SimCLR-Enhanced MammalHairNet: Advancing Species Identification Through Hair Scale Classification

description:     ori_all_training.tar Contains all raw data outside the test set

hair_2025_per15.tar Contains all raw data in the test set

SAM_not_in_per15_all_filter_rename.tar Contains all the data outside the test set, after SAM semantic segmentation

sam_2025_85_rgb_720_per100_50_30.tar The dataset comprises data excluded from the test set, which have been processed through SAM-based semantic segmentation followed by a series of augmentation techniques, including random contrast adjustment, cropping, noise addition, mirroring, and rotation.

SAM_15_2025_100_oriname.tar & sam_2025_15_100_rgb.tar Note that these two test sets only have some name adjustments(Orangutan->Bornean_orangutan;Red_deer->Wapiti;Wolf->Grey_wolf;Chinese_Water_deer->Water_deer), but the images are the same.  The images within these two compressed packages vary in resolution; however, all the image sizes are adjusted to [224 224] when classifying.
DOI: 10.5281/zenodo.14863215
title: SimCLR-Enhanced MammalHairNet: Advancing Species Identification Through Hair Scale Classification

description:     ori_all_training.tar Contains all raw data outside the test set

hair_2025_per15.tar Contains all raw data in the test set

SAM_not_in_per15_all_filter_rename.tar Contains all the data outside the test set, after SAM semantic segmentation

sam_2025_85_rgb_720_per100_50_30.tar The dataset comprises data excluded from the test set, which have been processed through SAM-based semantic segmentation followed by a series of augmentation techniques, including random contrast adjustment, cropping, noise addition, mirroring, and rotation.

SAM_15_2025_100_oriname.tar & sam_2025_15_100_rgb.tar Note that these two test sets only have some name adjustments(Orangutan->Bornean_orangutan;Red_deer->Wapiti;Wolf->Grey_wolf;Chinese_Water_deer->Water_deer), but the images are the same.  The images within these two compressed packages vary in resolution; however, all the image sizes are adjusted to [224 224] when classifying.

seg.tar Semantic Segmentation Models and Annotated Datasets

code&model.tar Contains five folders Evaluation_Metrics, fine_tuning, img_cropped_and_augmented, resnet, and SimCLR
DOI: 10.6084/m9.figshare.27124326.v2
title: crow_group_foraging_data

description: Behavioural data
DOI: 10.15468/dl.fvzyqt
title: Occurrence Download

description: A dataset containing 3513 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Euglesa parvula (Westerlund, 1873)"
 ]
}

 The dataset includes 3513 records from 105 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0048773-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.78g29c
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "GadmGid is CHN.18_1",
 "TaxonKey is Salamandrella keyserlingii Dybowski, 1870"
 ]
}

 The dataset includes 2 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0048774-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15673561
title: Vessel pattern atlases for: Assessing arterial patterns in the motor cortex with 7 Tesla magnetic resonance imaging and vessel distance mapping

description: These are the vessel pattern atlases generated in "Assessing arterial patterns in the motor cortex with 7 Tesla magnetic resonance imaging and vessel distance mapping" by Grazia Mietzner1, Lilli Lümkemann1, Frank Schreiber1,2, Jascha Brüggemann3, Abrar Benramadan1, Marwa Al-Dubai1, Alessandro Sciarra3,4, Christoph Knoll2,5, Esther Kuehn2,6, Oliver Speck2,3,7,8, Stefanie Schreiber1,3,8, Hendrik Mattern2,3,8



1 Department of Neurology, Otto von Guericke University Magdeburg, 39120 Magdeburg, Germany

2 German Center for Neurodegenerative Diseases, 39120 Magdeburg, Germany

3 Department of Biomedical Magnetic Resonance, Otto von Guericke University, Magdeburg,39120, Germany

4 Medicine and Digitalization - MedDigit, Medical Faculty, Univ. Dept. of Neurology, Otto von Guericke University, Magdeburg, 39120, Germany

5 Institute of Cognitive Neurology and Dementia Research (IKND), Otto von Guericke University, 39120 Magdeburg, Germany

6 Hertie Institute for Clinical Brain Research (HIH), 72076 Tübingen, Germany

7 Leibniz Institute for Neurobiology, Magdeburg, 39120, Germany

8 Center for Behavioral Brain Sciences, Magdeburg, 39120, Germany


 

The atlases are provided in the MNI152 NLIN 2009b space (at 0.5 mm isotropic resolution) as vessel labels and represent the majority votes per voxel (details in manuscript). They are provided for left and right hemisphere, respectively. Additional, a file with the label values and respective artery names is provided in txt-format.
DOI: 10.5281/zenodo.15673562
title: Vessel pattern atlases for: Assessing arterial patterns in the motor cortex with 7 Tesla magnetic resonance imaging and vessel distance mapping

description: These are the vessel pattern atlases generated in "Assessing arterial patterns in the motor cortex with 7 Tesla magnetic resonance imaging and vessel distance mapping" by Grazia Mietzner1, Lilli Lümkemann1, Frank Schreiber1,2, Jascha Brüggemann3, Abrar Benramadan1, Marwa Al-Dubai1, Alessandro Sciarra3,4, Christoph Knoll2,5, Esther Kuehn2,6, Oliver Speck2,3,7,8, Stefanie Schreiber1,3,8, Hendrik Mattern2,3,8



1 Department of Neurology, Otto von Guericke University Magdeburg, 39120 Magdeburg, Germany

2 German Center for Neurodegenerative Diseases, 39120 Magdeburg, Germany

3 Department of Biomedical Magnetic Resonance, Otto von Guericke University, Magdeburg,39120, Germany

4 Medicine and Digitalization - MedDigit, Medical Faculty, Univ. Dept. of Neurology, Otto von Guericke University, Magdeburg, 39120, Germany

5 Institute of Cognitive Neurology and Dementia Research (IKND), Otto von Guericke University, 39120 Magdeburg, Germany

6 Hertie Institute for Clinical Brain Research (HIH), 72076 Tübingen, Germany

7 Leibniz Institute for Neurobiology, Magdeburg, 39120, Germany

8 Center for Behavioral Brain Sciences, Magdeburg, 39120, Germany


 

The atlases are provided in the MNI152 NLIN 2009b space (at 0.5 mm isotropic resolution) as vessel labels and represent the majority votes per voxel (details in manuscript). They are provided for left and right hemisphere, respectively. Additional, a file with the label values and respective artery names is provided in txt-format.
DOI: 10.25549/pcra-c14-53602
title: A friendly talk with ministers and Christian workers, 1907

description: [description english/roman)] Tract [24 pages] entitled "A friendly talk with ministers and Christian workers on the baptism of the Holy Ghost" by T.B. Barratt of Christiania, Norway. With an introductory preface by the Rev. Alexander A. Boddy.
DOI: 10.15468/dl.g5tac2
title: Occurrence Download

description: A dataset containing 15 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Pitcairnia compostelae McVaugh"
 ]
}

 The dataset includes 15 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0081486-230530130749713/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.