cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.mfss9x
title: Occurrence Download

description: A dataset containing 85447 species occurrences available in GBIF matching the query:
{
 "GadmGid" : [
 "is BIH"
 ]
}

 The dataset includes 85447 records from 307 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0063315-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.d2ds2x
title: Occurrence Download

description: A dataset containing 420 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Rhodiola crenulata (Hook.fil. & Thomson) H.Ohba"
 ]
}

 The dataset includes 420 records from 34 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0063318-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.tf5acu
title: Occurrence Download

description: A dataset containing 14 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Phyllostachys atrovaginata C.S.Chao & H.Y.Chou"
 ]
}

 The dataset includes 14 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0063319-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25934/pr00003636.2
title: Available IPD datapackage for study 'A 52 Weeks, Double Blind, Randomized, Placebo-controlled Trial Evaluating the Effect of Oral BIBF 1120, 150 mg Twice Daily, on Annual Forced Vital Capacity Decline, in Patients With Idiopathic Pulmonary Fibrosis (IPF)'

description: Idiopathic Pulmonary Fibrosis (IPF) is a chronic disease of unknown cause that results in scarring of the lung and there is a high unmet medical need for effective treatment to halt lung function decline, delay or avoid exacerbation (flare-ups), and ultimately to reduce the death rate. In a large Phase 2 trial (1199.30) (NCT00514683), investigating the effects of 52 weeks of treatment with BIBF 1120 in patients with IPF, a positive effect was seen on lung function of patients treated with high dose of BIBF 1120 compared to placebo. Hence it is the purpose of this trial to investigate and confirm the efficacy and safety of BIBF 1120 at a high dose in treating patients with IPF, compared with placebo. The trial will be conducted as a prospective, randomised design with the aim to collect safety and efficacy data. Respiratory function is globally accepted for assessment of treatment effects in IPF patients. The chosen endpoint (Forced Vital Capacity (FVC) decline) is easy to obtain and is part of the usual examinations done in IPF patients.
DOI: 10.5281/zenodo.7463357
title: Sailbuoy Iskant PolarFront EK80 echosounder data [6/12] 2021-06-11/2021-06-15

description: This dataset is part 6/12 of a collection and contains ~43.2 GB of data in 480 files, captured between 2021-06-11 and 2021-06-15.

See Wideband acoustic EK80 transceiver datasets and GPS track of autonomous sailbuoy in the Barents Sea for the PolarFront project May to July 2021 for more information.
DOI: 10.5281/zenodo.7463358
title: Sailbuoy Iskant PolarFront EK80 echosounder data [6/12] 2021-06-11/2021-06-15

description: This dataset is part 6/12 of a collection and contains ~43.2 GB of data in 480 files, captured between 2021-06-11 and 2021-06-15.

See Wideband acoustic EK80 transceiver datasets and GPS track of autonomous sailbuoy in the Barents Sea for the PolarFront project May to July 2021 for more information.
DOI: 10.6084/m9.figshare.26789584
title: Divergent roles of m6A in orchestrating brown and white adipocyte transcriptomes and systemic metabolism

description: source data and uncropped WB images presented in the main figures
DOI: 10.6084/m9.figshare.26789584.v1
title: Divergent roles of m6A in orchestrating brown and white adipocyte transcriptomes and systemic metabolism

description: source data and uncropped WB images presented in the main figures
DOI: 10.6084/m9.figshare.27978699
title: BDNF measurement in saliva samples using highly sensitive ELISA

description: BDNF level was measured in saliva samples by using the highly sensitive ELISA assay kit. Measurement was successful when appropriate precautions, such as appropriate sample dilution, were made.
DOI: 10.6084/m9.figshare.27016456
title: Towards data-driven electricity management: multi-region harmonized data and knowledge graph

description: Metadata dump(1.2 GB): metadata.tar.gz

Triples dump (125 MB): triples.ttl

Harmonized data dump(80 GB): harmonized.tar.gz

REDD.pkl (300 MB) sample harmonized data for the REDD datset

Harmonized data dump contains all the household electricity consumption datasets
Metadata dump contains metadata needed to run our pre-processing scripts.
REDD.pkl contains 6 households from the REDD dataset and can be used as a sample of what is in the harmonized data dump
triples.ttl contains the Knowledge graph generated from the household electricity consumption data and enriched with metadata stored as RDF triples

Scripts to process the data and instructions are available on our GitHub repository (https://github.com/sensorlab/energy-knowledge-graph)

More information about the dataset is available in our paper (TODO link)
DOI: 10.6084/m9.figshare.27037264
title: Inequitable distribution of risks associated with occupational heat exposure driven by trade

description: This file provides the source data to generate the figures in the manuscript. Specifically, the data for the area plots and bar plot in Figure 1, the bar plots in Figure 2, the scatter plots in Figure3, and stacked bar plots in Figure 5 can be found in the Source Data file.
DOI: 10.15468/dl.y8a9y9
title: Occurrence Download

description: A dataset containing 16 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Phyllostachys aurita J.L.Lu"
 ]
}

 The dataset includes 16 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0063320-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.27203583
title: Coverage bias in small molecule machine learning

description: Running times and computed distances for Maximum Common Edge Subgraph computations
DOI: 10.6084/m9.figshare.27203583.v1
title: Coverage bias in small molecule machine learning

description: Running times and computed distances for Maximum Common Edge Subgraph computations
DOI: 10.6084/m9.figshare.28182365
title: Supplementary files: Factors associated with mental health disorders undergraduate students: A meta-analysis

description: Supplementary files:Raw dataFunnel PlotQuality assessment
DOI: 10.6084/m9.figshare.27956730
title: Bioinspired Self-Flowing Wood Chemical Treatment

description: The raw data used for each figure in the manuscript is included in the excel spreadsheet.
DOI: 10.6084/m9.figshare.27956730.v1
title: Bioinspired Self-Flowing Wood Chemical Treatment

description: The raw data used for each figure in the manuscript is included in the excel spreadsheet.
DOI: 10.15468/dl.bzynsg
title: Occurrence Download

description: A dataset containing 7 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Chimonobambusa brevinoda Hsueh & W.P.Zhang"
 ]
}

 The dataset includes 7 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0063321-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.13749620
title: Auditory Scene Analysis dataset (Multichannel universal sound separation & polyphonic audio classification)

description: We constructed a new dataset for multichannel universal sound separation and polyphonic audio classification tasks.

We constructed a new dataset for multichannel USS and polyphonic audio classification tasks. The proposed dataset is designed to reflect various conditions, including moving sources with temporal onsets and offsets. For foreground sound sources, signals from 13 audio classes were selected from open-source databases (Pixabay and FSD50K, Librispeech, MUSDB18, Vocalsound). These signals were resampled to 16 kHz and pre-processed by either padding zeros or cropping to 4 seconds. Each sound source has a 75% probability of being a moving source, with speeds ranging from 0 to 3 m/s. The dataset features between 2 to 4 foreground sound sources, along with one background noise from the diffused TAU-SNoise dataset with a signal-to-noise ratio (SNR) ranging from 6 to 30 dB. The simulations were conducted using gpuRIR. Room dimensions were set to a width and length between 5 and 8 meters, and a height between 3 and 4 meters, with reverberation times ranging from 0.2 to 0.6 seconds. These parameters were sampled from uniform distributions. We simulated spatialized sound sources using a 4-channel tetrahedral microphone array with a radius of 4.2 cm. The procedure for dataset generation and details about class configuration and durations of audio clips are provided in the paper. This dataset poses a significant challenge for separation tasks due to the inclusion of moving sources, onset and offset conditions, overlapped in-class sources, and noisy reverberant environments.

The procedure for dataset generation and details about class configuration and durations of audio clips are provided in the paper. This dataset poses a significant challenge for separation tasks due to the inclusion of moving sources, onset and offset conditions, overlapped in-class sources, and noisy reverberant environments.
DOI: 10.5281/zenodo.13749621
title: Auditory Scene Analysis dataset (Multichannel universal sound separation & polyphonic audio classification)

description: We constructed a new dataset for multichannel universal sound separation and polyphonic audio classification tasks.

We constructed a new dataset for multichannel USS and polyphonic audio classification tasks. The proposed dataset is designed to reflect various conditions, including moving sources with temporal onsets and offsets. For foreground sound sources, signals from 13 audio classes were selected from open-source databases (Pixabay and FSD50K, Librispeech, MUSDB18, Vocalsound). These signals were resampled to 16 kHz and pre-processed by either padding zeros or cropping to 4 seconds. Each sound source has a 75% probability of being a moving source, with speeds ranging from 0 to 3 m/s. The dataset features between 2 to 4 foreground sound sources, along with one background noise from the diffused TAU-SNoise dataset with a signal-to-noise ratio (SNR) ranging from 6 to 30 dB. The simulations were conducted using gpuRIR. Room dimensions were set to a width and length between 5 and 8 meters, and a height between 3 and 4 meters, with reverberation times ranging from 0.2 to 0.6 seconds. These parameters were sampled from uniform distributions. We simulated spatialized sound sources using a 4-channel tetrahedral microphone array with a radius of 4.2 cm. The procedure for dataset generation and details about class configuration and durations of audio clips are provided in the paper. This dataset poses a significant challenge for separation tasks due to the inclusion of moving sources, onset and offset conditions, overlapped in-class sources, and noisy reverberant environments.

The procedure for dataset generation and details about class configuration and durations of audio clips are provided in the paper. This dataset poses a significant challenge for separation tasks due to the inclusion of moving sources, onset and offset conditions, overlapped in-class sources, and noisy reverberant environments.
DOI: 10.15468/dl.4y88j5
title: Occurrence Download

description: A dataset containing 756 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Phyllostachys heteroclada Oliv."
 ]
}

 The dataset includes 756 records from 32 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0063322-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.7463359
title: Sailbuoy Iskant EK80 PolarFront echosounder data [7/12] 2021-06-16/2021-06-20

description: This dataset is part 7/12 of a collection and contains ~43.2 GB of data in 480 files, captured between 2021-06-16 and 2021-06-20.

See Wideband acoustic EK80 transceiver datasets and GPS track of autonomous sailbuoy in the Barents Sea for the PolarFront project May to July 2021 for more information.
DOI: 10.5281/zenodo.7463360
title: Sailbuoy Iskant EK80 PolarFront echosounder data [7/12] 2021-06-16/2021-06-20

description: This dataset is part 7/12 of a collection and contains ~43.2 GB of data in 480 files, captured between 2021-06-16 and 2021-06-20.

See Wideband acoustic EK80 transceiver datasets and GPS track of autonomous sailbuoy in the Barents Sea for the PolarFront project May to July 2021 for more information.
DOI: 10.15468/dl.ppnf39
title: Occurrence Download

description: A dataset containing 9 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((24.365 45.145,25.243 45.145,25.243 45.743,24.365 45.743,24.365 45.145))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Vipera berus (Linnaeus, 1758)"
 ]
}

 The dataset includes 9 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0063323-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25934/pr00003637.2
title: Available IPD datapackage for study 'A 52 Weeks, Double Blind, Randomized, Placebo-controlled Trial Evaluating the Effect of Oral BIBF 1120, 150 mg Twice Daily, on Annual Forced Vital Capacity Decline, in Patients With Idiopathic Pulmonary Fibrosis (IPF)'

description: Idiopathic Pulmonary Fibrosis (IPF) is a chronic disease of unknown cause that results in scarring of the lung and there is a high unmet medical need for effective treatment to halt lung function decline, delay or avoid exacerbation (flare-ups), and ultimately to reduce the death rate. In a large Phase 2 trial (1199.30) (NCT00514683), investigating the effects of 52 weeks of treatment with BIBF 1120 in patients with IPF, a positive effect was seen on lung function of patients treated with high dose of BIBF 1120 compared to placebo. Hence it is the purpose of this trial to investigate and confirm the efficacy and safety of BIBF 1120 at a high dose in treating patients with IPF, compared with placebo. The trial will be conducted as a prospective, randomised design with the aim to collect safety and efficacy data. Respiratory function is globally accepted for assessment of treatment effects in IPF patients. The chosen endpoint (Forced Vital Capacity (FVC) decline) is easy to obtain and is part of the usual examinations done in IPF patients.
DOI: 10.5281/zenodo.14621981
title: mOTUs4: Taxonomic profiles of >100'000 metagenomic samples

description: The latest version of mOTUs (v4) has published ~4 million genomes of which ~3 million are MAGs. Those genomes were clustered into ~125k species level clusters (see Dmitrijeva et al) and used to build the mOTUs marker gene database. The mOTUs tool was then used to taxonomically profile ~112k metagenomes and resulting profiles can be found in this repository. A thorough explanation on how to use/load the profiles can be found in the Readme.(md/html) file.
DOI: 10.5281/zenodo.14621980
title: mOTUs4: Taxonomic profiles of >100'000 metagenomic samples

description: The latest version of mOTUs (v4) has published ~4 million genomes of which ~3 million are MAGs. Those genomes were clustered into ~125k species level clusters (see Dmitrijeva et al) and used to build the mOTUs marker gene database. The mOTUs tool was then used to taxonomically profile ~112k metagenomes and resulting profiles can be found in this repository. A thorough explanation on how to use/load the profiles can be found in the Readme.(md/html) file.
DOI: 10.15468/dl.wu9peb
title: Occurrence Download

description: A dataset containing 852 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Phyllostachys nidularia Munro"
 ]
}

 The dataset includes 852 records from 41 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0063324-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.4073268
title: Tara Pacific 16S rRNA data analysis release

description: This data is the result of the primary analysis of the 16S rRNA gene sequencing data collected from all islands as part of the Tara Pacific expedition. The analysis was conducted using cutadapt/snakemake/dada2 and usearch. A full README is contained within the data upload.


 


Taxonomic abundance tables (ASVs, OTUs) released together with the TARA Pacific publications can be found in Version 1.1.0 of this repository.  
description: Special thanks to the Tara Ocean Foundation, the R/V Tara crew and the Tara Pacific Expedition Participants (https://doi.org/10.5281/zenodo.3777760). We are keen to thank the commitment of the following institutions for their financial and scientific support that made this unique Tara Pacific Expedition possible: CNRS, PSL, CSM, EPHE, Genoscope, CEA, Inserm, Université Côte d'Azur, ANR, agnès b., UNESCO-IOC, the Veolia Foundation, the Prince Albert II de Monaco Foundation, Région Bretagne, Billerudkorsnas, AmerisourceBergen Company, Lorient Agglomération, Oceans by Disney, L'Oréal, Biotherm, France Collectivités, Fonds Français pour l'Environnement Mondial (FFEM), Etienne Bourgois, and the Tara Ocean Foundation teams. Tara Pacific would not exist without the continuous support of the participating institutes. The authors also particularly thank Serge Planes, Denis Allemand, and the Tara Pacific consortium.
DOI: 10.5281/zenodo.4073269
title: Tara Pacific 16S rRNA data analysis release

description: This data is the result of the primary analysis of the 16S rRNA gene sequencing data collected from all islands as part of the Tara Pacific expedition. The analysis was conducted using cutadapt/snakemake/dada2 and usearch. A full README is contained within the data upload.
description: Special thanks to the Tara Ocean Foundation, the R/V Tara crew and the Tara Pacific Expedition Participants (https://doi.org/10.5281/zenodo.3777760). We are keen to thank the commitment of the following institutions for their financial and scientific support that made this unique Tara Pacific Expedition possible: CNRS, PSL, CSM, EPHE, Genoscope, CEA, Inserm, Université Côte d'Azur, ANR, agnès b., UNESCO-IOC, the Veolia Foundation, the Prince Albert II de Monaco Foundation, Région Bretagne, Billerudkorsnas, AmerisourceBergen Company, Lorient Agglomération, Oceans by Disney, L'Oréal, Biotherm, France Collectivités, Fonds Français pour l'Environnement Mondial (FFEM), Etienne Bourgois, and the Tara Ocean Foundation teams. Tara Pacific would not exist without the continuous support of the participating institutes. The authors also particularly thank Serge Planes, Denis Allemand, and the Tara Pacific consortium.
description: {"references": ["https://doi.org/10.1038/nmeth.3869", "https://doi.org/10.14806/ej.17.1.200", "https://doi.org/10.1093/bioinformatics/btq461"]}
DOI: 10.5281/zenodo.4451892
title: Tara Pacific 16S rRNA data analysis release

description: This data is the result of the primary analysis of the 16S rRNA gene sequencing data collected from all islands as part of the Tara Pacific expedition. The analysis was conducted using cutadapt/snakemake/dada2 and usearch. A full README is contained within the data upload.
description: Special thanks to the Tara Ocean Foundation, the R/V Tara crew and the Tara Pacific Expedition Participants (https://doi.org/10.5281/zenodo.3777760). We are keen to thank the commitment of the following institutions for their financial and scientific support that made this unique Tara Pacific Expedition possible: CNRS, PSL, CSM, EPHE, Genoscope, CEA, Inserm, Université Côte d'Azur, ANR, agnès b., UNESCO-IOC, the Veolia Foundation, the Prince Albert II de Monaco Foundation, Région Bretagne, Billerudkorsnas, AmerisourceBergen Company, Lorient Agglomération, Oceans by Disney, L'Oréal, Biotherm, France Collectivités, Fonds Français pour l'Environnement Mondial (FFEM), Etienne Bourgois, and the Tara Ocean Foundation teams. Tara Pacific would not exist without the continuous support of the participating institutes. The authors also particularly thank Serge Planes, Denis Allemand, and the Tara Pacific consortium.
description: {"references": ["https://doi.org/10.1038/nmeth.3869", "https://doi.org/10.14806/ej.17.1.200", "https://doi.org/10.1093/bioinformatics/btq461"]}
DOI: 10.5281/zenodo.6598864
title: Tara Pacific 16S rRNA data analysis release

description: This data is the result of the primary analysis of the 16S rRNA gene sequencing data collected from all islands as part of the Tara Pacific expedition. The analysis was conducted using cutadapt/snakemake/dada2 and usearch. A full README is contained within the data upload.


 


Taxonomic abundance tables (ASVs, OTUs) released together with the TARA Pacific publications can be found in Version 1.1.0 of this repository.  
description: Special thanks to the Tara Ocean Foundation, the R/V Tara crew and the Tara Pacific Expedition Participants (https://doi.org/10.5281/zenodo.3777760). We are keen to thank the commitment of the following institutions for their financial and scientific support that made this unique Tara Pacific Expedition possible: CNRS, PSL, CSM, EPHE, Genoscope, CEA, Inserm, Université Côte d'Azur, ANR, agnès b., UNESCO-IOC, the Veolia Foundation, the Prince Albert II de Monaco Foundation, Région Bretagne, Billerudkorsnas, AmerisourceBergen Company, Lorient Agglomération, Oceans by Disney, L'Oréal, Biotherm, France Collectivités, Fonds Français pour l'Environnement Mondial (FFEM), Etienne Bourgois, and the Tara Ocean Foundation teams. Tara Pacific would not exist without the continuous support of the participating institutes. The authors also particularly thank Serge Planes, Denis Allemand, and the Tara Pacific consortium.
DOI: 10.15468/dl.szmghf
title: Occurrence Download

description: A dataset containing 4328 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is EOD – eBird Observation Dataset",
 "GadmGid is one of (CHN.10.8_1, CHN.10.8.10_1)",
 "TaxonKey is Passeriformes",
 "Year 1994-2025"
 ]
}

 The dataset includes 4328 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0063325-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.7463365
title: Sailbuoy Iskant PolarFront EK80 echosounder data [10/12] 2021-07-01/2021-07-05

description: This dataset is part 10/12 of a collection. The dataset contains ~43.2 GB of data in 480 files, captured between 2021-07-01 and 2021-07-05.

See Wideband acoustic EK80 transceiver datasets and GPS track of autonomous sailbuoy in the Barents Sea for the PolarFront project May to July 2021 for more information.
DOI: 10.5281/zenodo.7463366
title: Sailbuoy Iskant PolarFront EK80 echosounder data [10/12] 2021-07-01/2021-07-05

description: This dataset is part 10/12 of a collection. The dataset contains ~43.2 GB of data in 480 files, captured between 2021-07-01 and 2021-07-05.

See Wideband acoustic EK80 transceiver datasets and GPS track of autonomous sailbuoy in the Barents Sea for the PolarFront project May to July 2021 for more information.