cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.erzq83
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 {
 "or" : [
 "Geometry POLYGON((-102 -26,103 -26,103 28,-102 28,-102 -26))",
 "Geometry POLYGON((-102 -26,106 -26,106 28,-102 28,-102 -26))",
 "Geometry POLYGON((-103 -26,106 -26,106 28,-103 28,-103 -26))"
 ]
 },
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Acer prolificum W.P.Fang & M.Y.Fang"
 ]
}

 The dataset includes 2 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010726-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.dfc458
title: Occurrence Download

description: A dataset containing 3158 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Dipogon lignosus (L.) Verdc.)",
 "BasisOfRecord is one of (Specimen, Human Observation, Observation, Living Specimen, Machine Observation, Literature Occurrence)",
 "Geometry POLYGON((-180 -90,180 -90,180 90,-180 90,-180 -90))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1945"
 ]
}

 The dataset includes 3158 records from 50 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010727-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ua58uf
title: Occurrence Download

description: A dataset containing 109610759 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is iNaturalist Research-grade Observations"
 ]
}

 The dataset includes 109610759 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018086-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.a6vknt
title: Occurrence Download

description: A dataset containing 105 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Hymenosoma orbiculare Desmarest, 1823)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 105 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018105-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14419563
title: Plastic Pirates - Go Europe!: Macrolitter data collected by citizens on riverbanks in Europe between 2022 and 2024

description: Macrolitter data collected by school children on riverbanks in several European countries in the period 2022-2024 for the Plastic Pirates – Go Europe! project. The data have been validated by experts of the Plastic Pirates partner institutes according to a data verification protocol. After validation of the data by the partner institutes, further quality control was done by VLIZ and NIB. Data harmonisation, standardisation and publication was done by VLIZ. 

Acknowledgement: These data have been collected by numerous school schildren and their teachers from primary and secondary schools. We would like to thank all of them for their valuable contributions. 

Over the years, countless people have contributed to the Plastic Pirates project. The concept for it is based on the citizen science projects Científicos de la Basura and Following the Pathways of Litter and has been continously developed by colleagues from Kiel Science Factory (Germany), the Científicos de la Basura at Universidad Católica del Norte (Chile), the Ecologic Institute (Germany) and the partner institutions of the Plastic Pirates - Go Europe! initiative. The design of the material was done by familie redlich AG, KOMPAKTMEDIEN, the Ecologic Institute and the DLR Project Management Agency (Germany).

The data file contains data on the amount and variety of macrolitter items collected in Austria, Belgium, Bulgaria, Germany, Greece, Hungary, Italy, Latvia, Lithuania, Portugal, Slovenia and Spain during the autumn 2022, spring 2023, autumn 2023, spring 2024 and autumn 2024 sampling campaigns of the project. The sampling methods used can be found in the Plastic Pirates project booklet (methods for group A, B and D): https://www.plastic-pirates.eu/en/material/download. 

Part of the data can also be seen on the Plastic Pirates website: https://www.plastic-pirates.eu/en/results/map
DOI: 10.5281/zenodo.15535434
title: Plastic Pirates - Go Europe!: Macrolitter data collected by citizens on riverbanks in Europe between 2022 and 2024

description: Macrolitter data collected by school children on riverbanks in several European countries in the period 2022-2024 for the Plastic Pirates – Go Europe! project. The data have been validated by experts of the Plastic Pirates partner institutes according to a data verification protocol. After validation of the data by the partner institutes, further quality control was done by VLIZ and NIB. Data harmonisation, standardisation and publication was done by VLIZ. 

Acknowledgement: These data have been collected by numerous school schildren and their teachers from primary and secondary schools. We would like to thank all of them for their valuable contributions. 

Over the years, countless people have contributed to the Plastic Pirates project. The concept for it is based on the citizen science projects Científicos de la Basura and Following the Pathways of Litter and has been continously developed by colleagues from Kiel Science Factory (Germany), the Científicos de la Basura at Universidad Católica del Norte (Chile), the Ecologic Institute (Germany) and the partner institutions of the Plastic Pirates - Go Europe! initiative. The design of the material was done by familie redlich AG, KOMPAKTMEDIEN, the Ecologic Institute and the DLR Project Management Agency (Germany).

The data file contains data on the amount and variety of macrolitter items collected in Austria, Belgium, Bulgaria, Germany, Greece, Hungary, Italy, Latvia, Lithuania, Portugal, Slovenia and Spain during the autumn 2022, spring 2023, autumn 2023, spring 2024 and autumn 2024 sampling campaigns of the project. The sampling methods used can be found in the Plastic Pirates project booklet (methods for group A, B and D): https://www.plastic-pirates.eu/en/material/download. 

Part of the data can also be seen on the Plastic Pirates website: https://www.plastic-pirates.eu/en/results/map
DOI: 10.15468/dl.9nsde5
title: Occurrence Download

description: A dataset containing 5089 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-75.1431 40.88321,-81.92776 42.52346,-86.92306 40.18238,-85.73015 35.7388,-79.79544 34.1582,-75.09837 39.37716,-75.1431 40.88321))",
 "TaxonKey is Plethodon richmondi Netting & Mittleman, 1938"
 ]
}

 The dataset includes 5089 records from 28 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003259-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17605/osf.io/3k8tg
title: Evaluating the impact of boxing on prefrontal cortex activation and cognitive performance: A pilot study using fNIRS technology and the Stroop test
DOI: 10.15468/dl.wrhe2x
title: Occurrence Download

description: A dataset containing 20 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Velociraptor Osborn, 1924"
 ]
}

 The dataset includes 20 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003260-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57764/3sg0-7440
title: Bridge2AI-Voice: An ethically-sourced, diverse voice dataset linked to health information

description: The human voice contains complex acoustic markers which have been linked to
important health conditions including dementia, mood disorders, and cancer.
When viewed as a biomarker, voice is a promising characteristic to measure as
it is simple to collect, cost-effective, and has broad clinical utility.
Recent advances in artificial intelligence have provided techniques to extract
previously unknown prognostically useful information from dense data elements
such as images. The Bridge2AI-Voice project seeks to create an ethically
sourced flagship dataset to enable future research in artificial intelligence
and support critical insights into the use of voice as a biomarker of health.
Here we present Bridge2AI-Voice, a comprehensive collection of data derived
from voice recordings with corresponding clinical information. Bridge2AI-Voice
v1.0, the initial release, provides 12,523 recordings for 306 participants
collected across five sites in North America. Participants were selected based
on known conditions which manifest within the voice waveform including voice
disorders, neurological disorders, mood disorders, and respiratory disorders.
The initial release contains data considered low risk, including derivations
such as spectrograms but not the original voice recordings. Detailed
demographic, clinical, and validated questionnaire data are also made
available.
DOI: 10.57764/qb6h-em84
title: Bridge2AI-Voice: An ethically-sourced, diverse voice dataset linked to health information

description: The human voice contains complex acoustic markers which have been linked to
important health conditions including dementia, mood disorders, and cancer.
When viewed as a biomarker, voice is a promising characteristic to measure as
it is simple to collect, cost-effective, and has broad clinical utility.
Recent advances in artificial intelligence have provided techniques to extract
previously unknown prognostically useful information from dense data elements
such as images. The Bridge2AI-Voice project seeks to create an ethically
sourced flagship dataset to enable future research in artificial intelligence
and support critical insights into the use of voice as a biomarker of health.
Here we present Bridge2AI-Voice, a comprehensive collection of data derived
from voice recordings with corresponding clinical information. Bridge2AI-Voice
v1.0, the initial release, provides 12,523 recordings for 306 participants
collected across five sites in North America. Participants were selected based
on known conditions which manifest within the voice waveform including voice
disorders, neurological disorders, mood disorders, and respiratory disorders.
The initial release contains data considered low risk, including derivations
such as spectrograms but not the original voice recordings. Detailed
demographic, clinical, and validated questionnaire data are also made
available.
DOI: 10.15468/dl.xaf6gs
title: Occurrence Download

description: A dataset containing 3387 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Lontra longicaudis (Olfers, 1818)"
 ]
}

 The dataset includes 3387 records from 223 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003261-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.nx24ra
title: Occurrence Download

description: A dataset containing 1632 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Mexico",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Leopardus pardalis (Linnaeus, 1758)"
 ]
}

 The dataset includes 1632 records from 60 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003262-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.dcmc47
title: Occurrence Download

description: A dataset containing 12 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Specimen)",
 "Country is Belize",
 "DatasetKey is one of (Tropicos MO Specimen Data, Natural History Museum (London) Collection Specimens, The New York Botanical Garden Herbarium (NY), Tropicos Specimens Non-MO)",
 "OccurrenceStatus is Present",
 "TaxonKey is Geonoma pinnatifrons subsp. mexicana (Liebm. ex Mart.) A.J.Hend."
 ]
}

 The dataset includes 12 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003264-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ntezbu
title: Occurrence Download

description: A dataset containing 621 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-107.88663 -22.14214,-37.11337 -22.14214,-37.11337 6.14214,-107.88663 6.14214,-107.88663 -22.14214))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Polylepis incana Kunth"
 ]
}

 The dataset includes 621 records from 27 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003265-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.w43a2k
title: Occurrence Download

description: A dataset containing 621 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-107.81350 -22.14214,-37.18650 -22.14214,-37.18650 6.14214,-107.81350 6.14214,-107.81350 -22.14214))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Polylepis incana Kunth"
 ]
}

 The dataset includes 621 records from 27 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003266-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.a7449e
title: Occurrence Download

description: A dataset containing 4 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is ESP.2_1",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Azolla filiculoides Lam.",
 "Year 2015-2024"
 ]
}

 The dataset includes 4 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003267-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14232429
title: Curated new database list from the 2024 NAR Database issue - Table 1

description: This is a curated list of 90 new databases recently published in the 2024 Nucleic Acids Research (NAR) Database issue. These databases were specifically categorized as the "new databases" (not previously published) in Table 1 of the 2024 compilation paper. In this dataset, we curated a set of data columns to facilitate knowledge modeling and database integration efforts:



"has API": does the database provide API access, Yes or No.

"Primary Entity Type": the primary biomedical entity types captured in the database.

"Downloadable": does the database provide direct file downloads, Yes or No.

"license specified?": does the database specify a data license explicitly, Yes or No.

"knowledge level": the level of knowledge expressed in the database, example values are specified in the BioLink model.

"agent type": the high-level category of agent who originally generated a statement of knowledge or other type of information, example values are specified in the BioLink model.

"notes": optional extra notes
DOI: 10.5281/zenodo.14232430
title: Curated new database list from the 2024 NAR Database issue - Table 1

description: This is a curated list of 90 new databases recently published in the 2024 Nucleic Acids Research (NAR) Database issue. These databases were specifically categorized as the "new databases" (not previously published) in Table 1 of the 2024 compilation paper. In this dataset, we curated a set of data columns to facilitate knowledge modeling and database integration efforts:



"has API": does the database provide API access, Yes or No.

"Primary Entity Type": the primary biomedical entity types captured in the database.

"Downloadable": does the database provide direct file downloads, Yes or No.

"license specified?": does the database specify a data license explicitly, Yes or No.

"knowledge level": the level of knowledge expressed in the database, example values are specified in the BioLink model.

"agent type": the high-level category of agent who originally generated a statement of knowledge or other type of information, example values are specified in the BioLink model.

"notes": optional extra notes
DOI: 10.6084/m9.figshare.27922284
title: Dataset for manuscript "Glacial-interglacial climate cycles of atmospheric Hg deposition: Insights from Hg isotopes in loess-paleosol sequences on the Chinese Loess Plateau"

description: Table S1 Sampling depth; Magnetic susceptibility (MS); and mercury concentration of the Luochuan Loess / Paleosol samples.
Table S2 Hg isotopic composition of the Luochuan loess/paleosol samples
DOI: 10.5281/zenodo.14232541
title: FWO-FAPESP project data repository

description: Datasets derived throughout the project "Evaluating critical thresholds in tropical ecosystems using Vegetation Water Content data from field and remote sensing data" (FWO-FAPESP bilateral collaboration). Please request permission to the authors before using these datasets: paulo.nbernardino@gmail.com
DOI: 10.5281/zenodo.14232542
title: FWO-FAPESP project data repository

description: Datasets derived throughout the project "Evaluating critical thresholds in tropical ecosystems using Vegetation Water Content data from field and remote sensing data" (FWO-FAPESP bilateral collaboration). Please request permission to the authors before using these datasets: paulo.nbernardino@gmail.com
DOI: 10.5281/zenodo.14232529
title: Electron micrographs of synapses in frogs

description: This dataset contains transmission electron micrographs of synapses of a frog.It has been published in [1] and has been re-used to evaluate automated synaptic vesicle segmentation in [2].To obtain the data, frog (Rana pipiens) cutaneous pectoris muscles were dissected and mounted in sylgard-lined chambers, in a frog Ringer buffer (115 mM NaCl, 2 mM KCl, 1.8 mM CaCl2, 2.4 mM NaHCO3, pH 7.2). Samples were fixed with 2% glutaraldehyde in frog Ringer, at -2°C for 40-60 minutes, followed by washing, post-fixing with 2% OsO4 in PBS, dehydration through a series of ethanol solutions and propylene oxide, and embedding in Epon resin. A proportion of the vesicles was labeled with precipitated di-amino-benzidine, using a photo-oxidation procedure. The blocks were then sectioned (80-90 nm thickness), and were post-stained with 2% uranyl acetate in a 1:1 ethanol-water mixture (1 minute incubation). Images were acquired using a CM-10 Philips electron microscope, using film negatives. These were enlarged 2.69-fold by transferring to photographic paper (Eastman Kodak Company, Rochester, NY). The paper was scanned at 300 dpi, to obtain the final images.The data is or organized into two different subfolders "train_unlabeled" and "test" that were used for unsupervised domain adaptation and qualitative evaluation respectively.Each folder contains hdf5 files with stacks of electron micrograph, with the image data stored in the internal dataset "raw".

References:[1] Rizzoli and Betz, The Structural Organization of the Readily Releasable Pool of Synaptic Vesicles, Science 2004, DOI: 10.1126/science.1094682[2] Muth, Moschref et al., 2024, Preprint to be published
DOI: 10.5281/zenodo.14232530
title: Electron micrographs of synapses in frogs

description: This dataset contains transmission electron micrographs of synapses of a frog.It has been published in [1] and has been re-used to evaluate automated synaptic vesicle segmentation in [2].To obtain the data, frog (Rana pipiens) cutaneous pectoris muscles were dissected and mounted in sylgard-lined chambers, in a frog Ringer buffer (115 mM NaCl, 2 mM KCl, 1.8 mM CaCl2, 2.4 mM NaHCO3, pH 7.2). Samples were fixed with 2% glutaraldehyde in frog Ringer, at -2°C for 40-60 minutes, followed by washing, post-fixing with 2% OsO4 in PBS, dehydration through a series of ethanol solutions and propylene oxide, and embedding in Epon resin. A proportion of the vesicles was labeled with precipitated di-amino-benzidine, using a photo-oxidation procedure. The blocks were then sectioned (80-90 nm thickness), and were post-stained with 2% uranyl acetate in a 1:1 ethanol-water mixture (1 minute incubation). Images were acquired using a CM-10 Philips electron microscope, using film negatives. These were enlarged 2.69-fold by transferring to photographic paper (Eastman Kodak Company, Rochester, NY). The paper was scanned at 300 dpi, to obtain the final images.The data is or organized into two different subfolders "train_unlabeled" and "test" that were used for unsupervised domain adaptation and qualitative evaluation respectively.Each folder contains hdf5 files with stacks of electron micrograph, with the image data stored in the internal dataset "raw".

References:[1] Rizzoli and Betz, The Structural Organization of the Readily Releasable Pool of Synaptic Vesicles, Science 2004, DOI: 10.1126/science.1094682[2] Muth, Moschref et al., 2024, Preprint to be published
DOI: 10.15468/dl.5gq2ca
title: Occurrence Download

description: A dataset containing 9990 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Leptophobia aripa (Boisduval, 1836)"
 ]
}

 The dataset includes 9990 records from 93 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003269-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.cd885y
title: Occurrence Download

description: A dataset containing 303 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Rubus macilentus Cambess."
 ]
}

 The dataset includes 303 records from 32 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003270-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.75cm6d
title: Occurrence Download

description: A dataset containing 7036 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Leptophobia aripa elodia (Boisduval, 1836)"
 ]
}

 The dataset includes 7036 records from 33 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003272-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.pn4es6
title: Occurrence Download

description: A dataset containing 18969679 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Mexico",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year 2014-2024"
 ]
}

 The dataset includes 18969679 records from 634 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003263-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.