cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.14270953
title: GWAS summary statistics for Standing Height from the UK Biobank (5-fold cross-validation)

description: This dataset contains GWAS summary statistics for Standing Height in the UK Biobank.

The GWAS study used data from "White British" samples (N = 337225), which were randomly divided into 5 folds for the purposes of cross-validation. The upload contains, for each fold, GWAS summary statistics for the training and test set. The test summary statistics can be used to evaluate PRS models via pseudo-validation methods. Association testing was done with plink2.

The structure of the data is as follows:



train



fold_1



chr_1.PHENO1.glm.linear

chr_2.PHENO1.glm.linear

...



fold_2

fold_3

...



test



fold_1

fold_2

fold_3

...




For more details about the GWAS study, Quality Control (QC) criteria, or other information, please consult our publication:

Zabad, S., Gravel, S., & Li, Y. (2023). Fast and accurate Bayesian polygenic risk modeling with variational inference. The American Journal of Human Genetics, 110(5), 741–761. https://doi.org/10.1016/j.ajhg.2023.03.009

If you use this data in your work, please cite the publication above.
DOI: 10.5281/zenodo.14612130
title: GWAS summary statistics for 9 quantitative phenotypes from the UK Biobank (5-fold cross-validation)

description: This dataset contains GWAS summary statistics for 9 quantitative phenotypes from the UK Biobank.

The phenotypes are:



HEIGHT: Standing height (Data-Field: 50)

BMI: Body mass index (Data-Field: 21001)

WC: Waist circumference (Data-Field: 48)

HC: Hip circumference (Data-Field: 49)

BW: Birth weight (Data-Field: 20022)

FVC: Forced vital capacity (Data-Field: 3062)

FEV1: Forced expiratory volume in 1-second (Data-Field: 3063)

HDL: HDL cholesterol (Data-Field: 30760)

LDL: LDL cholesterol (Data-Field: 30780)


The GWAS study used data from "White British" samples (N = 337225), which were randomly divided into 5 folds for the purposes of cross-validation. The upload contains, for each fold, GWAS summary statistics for the training, validation, and test set. The validation summary statistics can be used for model selection/tuning. The test summary statistics can be used to evaluate PRS models via pseudo-validation methods. Association testing was done with plink2.

The structure of the data is as follows:



train



fold_1



chr_1.PHENO1.glm.linear

chr_2.PHENO1.glm.linear

...



fold_2

fold_3

...



validation



fold_1

fold_2

fold_3

...



test



fold_1

fold_2

fold_3

...




For more details about the GWAS study, Quality Control (QC) criteria, or other information, please consult our publication:

Zabad, S., Gravel, S., & Li, Y. (2023). Fast and accurate Bayesian polygenic risk modeling with variational inference. The American Journal of Human Genetics, 110(5), 741–761. https://doi.org/10.1016/j.ajhg.2023.03.009

If you use this data in your work, please cite the publication above.
DOI: 10.5281/zenodo.14823164
title: GWAS summary statistics for 9 quantitative phenotypes from the UK Biobank (5-fold cross-validation)

description: This dataset contains GWAS summary statistics for 9 quantitative phenotypes from the UK Biobank.

The dataset is designed to enable systematic PRS analyses with 5-fold cross validation. For each phenotype and fold, we provide GWAS summary statistics for the training, validation, and test sets. The validation summary statistics can be used for model selection/tuning. The test summary statistics can be used to evaluate PRS models via pseudo-validation metrics. Association testing for all phenotypes and samples was done with plink2.

 

The phenotypes included in this dataset are:



HEIGHT: Standing height (Data-Field: 50)

BMI: Body mass index (Data-Field: 21001)

WC: Waist circumference (Data-Field: 48)

HC: Hip circumference (Data-Field: 49)

BW: Birth weight (Data-Field: 20022)

FVC: Forced vital capacity (Data-Field: 3062)

FEV1: Forced expiratory volume in 1-second (Data-Field: 3063)

HDL: HDL cholesterol (Data-Field: 30760)

LDL: LDL cholesterol (Data-Field: 30780)


 

To allow users to assess PRS performance as a function of sample size, we also provide subsampled training GWAS summary statistics. This is done by taking the training samples and randomly selecting (without replacement) a subset of them for conducting association testing. The training sample sizes are:



N = 5000

N = 10000

N = 20000

N = 40000

N = 80000

N = 160000

Full training set (sample size varies by phenotype).


NOTE: Due to the smaller overall sample size for the Birth weight phenotype, we do not include training data for the `N=160000` setting.

The folder structure of the GWAS data for each phenotype is as follows:



train



N_5000



 fold_1



chr_1.PHENO1.glm.linear

chr_2.PHENO1.glm.linear

...



fold_2

fold_3

...



N_10000

N_20000

N_40000

N_80000

N_160000

full



validation



fold_1



chr_1.PHENO1.glm.linear

chr_2.PHENO1.glm.linear

...



fold_2

fold_3

...



test



fold_1

fold_2

fold_3

...




For more details about the GWAS study, Quality Control (QC) criteria, or other information, please consult our publication:

Zabad, S., Gravel, S., & Li, Y. (2023). Fast and accurate Bayesian polygenic risk modeling with variational inference. The American Journal of Human Genetics, 110(5), 741–761. https://doi.org/10.1016/j.ajhg.2023.03.009

If you use this data in your work, please cite the publication above.
DOI: 10.17632/v68hy8jk93
title: Experimental Analysis of a Land Assembly Mechanism

description: The data contains observations of bidding behavior from a laboratory experiment conducted at the Delhi School of Economics and Indraprastha Institute of Information Technology, Delhi. The primary objective was to test the efficiency performance of a proposed mechanism in addressing the holdout problem in land assembly.
DOI: 10.5281/zenodo.14823672
title: Bruderer DIA-MS data processed by DIA-NN 1.8.1.

description: The Bruderer DIA-MS data (Bruderer et al., MCP 2015) using DIA-NN 1.8.1 (Demichev et al., _Nature Methods_ 2020) with the switch `--report-lib-info` turned on. The switch gives an extra column `Fragment.Info`.
DOI: 10.5281/zenodo.14823673
title: Bruderer DIA-MS data processed by DIA-NN 1.8.1.

description: The Bruderer DIA-MS data (Bruderer et al., MCP 2015) using DIA-NN 1.8.1 (Demichev et al., _Nature Methods_ 2020) with the switch `--report-lib-info` turned on. The switch gives an extra column `Fragment.Info`.
DOI: 10.17632/5x223dj5rh
title: β-cyclodextrin Enhanced Bioavailability of Petroleum Hydrocarbons in Industrially Contaminated Soil: A Phytoremediation Field Study

description: The data are about the concentration levels of petroleum hydrocarbon pollutants in soil and Suaeda heteroptera Kitagawa , as well as the state of plant growth
DOI: 10.17632/ydc7gfdmxm
title: EU_financial_systems

description: Stock of financial assets/liabilities across EU economic sectors (monetary and financial institutions, other financial intermediaries, non financial companies and households) as percentages of gdp.
DOI: 10.15468/dl.8qgu8c
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Coussarea imitans L.O.Williams)",
 "BasisOfRecord is one of (Human Observation, Observation, Living Specimen)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "Continent is North America"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017672-250127130748423/datasets/export for details.
DOI: 10.5281/zenodo.14799098
title: Raw Data for iSperm Validation Study

description: This dataset contains raw and processed data from the validation study of iSperm, a portable microfluidic-based sperm analysis system for on-site boar semen evaluation. The dataset includes sperm concentration, motility, and progressive motility measurements obtained using iSperm, Hemocytometer, and CASA. Additionally, a user variability study was conducted to assess measurement consistency between trained and untrained users. This dataset supports the findings in the manuscript "A Mobile Sperm Analyzer with User-Friendly Microfluidic Chips for Rapid On-Farm Semen Evaluation" submitted to *Lab on a Chip*.
DOI: 10.5281/zenodo.14799099
title: Raw Data for iSperm Validation Study

description: This dataset contains raw and processed data from the validation study of iSperm, a portable microfluidic-based sperm analysis system for on-site boar semen evaluation. The dataset includes sperm concentration, motility, and progressive motility measurements obtained using iSperm, Hemocytometer, and CASA. Additionally, a user variability study was conducted to assess measurement consistency between trained and untrained users. This dataset supports the findings in the manuscript "A Mobile Sperm Analyzer with User-Friendly Microfluidic Chips for Rapid On-Farm Semen Evaluation" submitted to *Lab on a Chip*.
DOI: 10.17632/bvs2r75sk9
title: Supplementary file 2 (Thesis)

description: List of transcripts correlated with the 2 dimensions of the PCA analysis
DOI: 10.5258/soton/d3345
title: STROBE Checklist for 'Protocol for CHIEF (cochlear implants and inner ear inflammation) study; an observational, cross-sectional, study of children and young people undergoing cochlear implantation'

description: This dataset is a STROBE (STrengthening the Reporting of OBservational studies in Epidemiology) checklist for the publication titled 'Protocol for CHIEF (cochlear implants and inner ear inflammation) study; an observational, cross-sectional, study of children and young people undergoing cochlear implantation'. The checklist has been completed to indicate where the appropriate information is in the manuscript.
DOI: 10.15468/dl.hwevyh
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Coussarea mexicana Standl.)",
 "BasisOfRecord is one of (Human Observation, Observation, Living Specimen)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "Continent is North America"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017674-250127130748423/datasets/export for details.
DOI: 10.34943/90c97660-78e9-42f6-b6fd-be6c11c7deaa
title: Burrard Inlet Orientation Instrument Deployed 2025-01-25

description: The Ocean Networks Canada Orientation SN06 was deployed on 2025-01-25 at Burrard Inlet. Burrard Inlet is a coastal fjord in southwestern British Columbia. This device is a Orientation Instrument. Orientation instruments are used on ships, ROVs and instrument packages to record variables like heading, pitch and roll. It was deployed on a fixed platform. Data from this deployment were archived and made available through Ocean Networks Canada's Oceans 3.0 digital infrastructure, with quality assurance and derived data products following established practices.
DOI: 10.5281/zenodo.3467125
title: Water temperature measurements collected during austral summer 2017/2018 on lakes located in the Schirmacher oasis, East Antarctica.

description: Lakes’ water temperature are measured on lakes of three types (epiglacial, epishelf and land-locked) located in the Schirmacher oasis, East Antarctica. The temporal hydrological network is equipped by 11 temperature sensors, which are measured both surface and bottom water temperature of lakes. The surface temperature is recorded with the temperature loggers iButton DS1922L/DS1922T (https://www.maximintegrated.com/en/datasheet/index.mvp/id/4088) on 8 lakes. The sensors are deployed within a distance of 1–3 m from a lake’s coast, on a depth of 0.02 m. The lake’s surface temperature is also measured on two lakes with the temperature sensors by HOBO Water Level U20L (https://www.onsetcomp.com/products/data-loggers/u20l-01), which are deployed on the depth of 0.2 m. One HOBO sensor is installed to be attached to a lake’s ground on a depth approximately 0.5 m. The measurements cover the period of over 12–36 days depending on a lake. The data set includes the field campaign’s report of 63 RAE in the Schirmacher oasis (a text, in Russian) as a pdf-file, the metadata for the measurements (name, elevation, lon/lat of the temperature sensors deployed; name of the lakes; period with measurements; comments) as a shp-file, and the tables with water temperature measured for each lakes (as files of CSV format). Also, the deployment of the temperature sensor on the Lake Pomornik is presented in the jpg-file.


 
description: The work has got financial support from the Academy of Finland (contract number 304345) and the logistic support of the Finnish Antarctic Expedition and the Russian Antarctic Expedition.
DOI: 10.5281/zenodo.3467126
title: Water temperature measurements collected during austral summer 2017/2018 on lakes located in the Schirmacher oasis, East Antarctica.

description: Lakes’ water temperature are measured on lakes of three types (epiglacial, epishelf and land-locked) located in the Schirmacher oasis, East Antarctica. The temporal hydrological network is equipped by 11 temperature sensors, which are measured both surface and bottom water temperature of lakes. The surface temperature is recorded with the temperature loggers iButton DS1922L/DS1922T (https://www.maximintegrated.com/en/datasheet/index.mvp/id/4088) on 8 lakes. The sensors are deployed within a distance of 1–3 m from a lake’s coast, on a depth of 0.02 m. The lake’s surface temperature is also measured on two lakes with the temperature sensors by HOBO Water Level U20L (https://www.onsetcomp.com/products/data-loggers/u20l-01), which are deployed on the depth of 0.2 m. One HOBO sensor is installed to be attached to a lake’s ground on a depth approximately 0.5 m. The measurements cover the period of over 12–36 days depending on a lake. The data set includes the field campaign’s report of 63 RAE in the Schirmacher oasis (a text, in Russian) as a pdf-file, the metadata for the measurements (name, elevation, lon/lat of the temperature sensors deployed; name of the lakes; period with measurements; comments) as a shp-file, and the tables with water temperature measured for each lakes (as files of CSV format). Also, the deployment of the temperature sensor on the Lake Pomornik is presented in the jpg-file.


 
description: The work has got financial support from the Academy of Finland (contract number 304345) and the logistic support of the Finnish Antarctic Expedition and the Russian Antarctic Expedition.
DOI: 10.15468/dl.su3ht2
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Coutaportla guatemalensis (Standl.) Lorence)",
 "BasisOfRecord is one of (Human Observation, Observation, Living Specimen)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "Continent is North America"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017676-250127130748423/datasets/export for details.
DOI: 10.5281/zenodo.3540447
title: Water level measurements on the lakes of the Larsemann Hills oasis during the summer 2013.

description: The temporal observational network were established on 6 lakes located in the Mirror peninsula, the Larsemann Hills, East Antarctica (69o23 ́S, 76o20 ́E). The water level measurements were carried out during the period 24.12.2012–01.02.2013. The temporal hydrological gauges were established on the lakes Stepped, Sibthorpe, Progress, Sarah Tarn, Nella/Scandrett and Reid. The gauges were visited once a day to measure the water level above the reference point(s) with a known absolute height(s) (Table 1). The water level was measure with a tape-line allowing a precision 0.01 m. The geographical coordinates and absolute height of each point in the network (Fig. 1) were defined using GPS-receiver TRIMBLE (R8 GNSS, TSC 2). These measurements were done by Astashov V.V. and Zolotarev A.V. (“Ledgidroproekt”).


The data set contains:
1. The table with the water levels (m) measured during 24.12.2012 – 01.02.2013 for 6 gauges (level_all.txt). The file format:
#num is a number on the list
date: DD/MM/YY
… 01 03 05… : the number in the table (LakeWaterLevel.shp, compressed).
No data indicated with “9999” in the table.
2.  The map of the temporal observational network (figure1.pdf) on lakes located in the Mirror peninsula, the Larsemann Hills, East Antarctica with the map #13130 by the Australian Antarctic division, 2004 on the background.
3. The table with location and indexing of the water level measurements (LakeWaterLevel.shp, compressed). The flowing attributes are available:
index in the ANARE74 (Numb)
SCAR name of the (Name)
Latitude and longitude WGS84, degree (Lat  and Lon)
Absolute height WGS84, meter (Heigth(m))
Coordinate System (CoordSys)
Gauge number in the file level_all.txt and the table 1.


 


 

 
description: The work has got financial support from the Academy of Finland (contract number 304345) and the logistic support of the the Russian Antarctic Expedition.
DOI: 10.5281/zenodo.3540448
title: Water level measurements on the lakes of the Larsemann Hills oasis during the summer 2013.

description: The temporal observational network were established on 6 lakes located in the Mirror peninsula, the Larsemann Hills, East Antarctica (69o23 ́S, 76o20 ́E). The water level measurements were carried out during the period 24.12.2012–01.02.2013. The temporal hydrological gauges were established on the lakes Stepped, Sibthorpe, Progress, Sarah Tarn, Nella/Scandrett and Reid. The gauges were visited once a day to measure the water level above the reference point(s) with a known absolute height(s) (Table 1). The water level was measure with a tape-line allowing a precision 0.01 m. The geographical coordinates and absolute height of each point in the network (Fig. 1) were defined using GPS-receiver TRIMBLE (R8 GNSS, TSC 2). These measurements were done by Astashov V.V. and Zolotarev A.V. (“Ledgidroproekt”).


The data set contains:
1. The table with the water levels (m) measured during 24.12.2012 – 01.02.2013 for 6 gauges (level_all.txt). The file format:
#num is a number on the list
date: DD/MM/YY
… 01 03 05… : the number in the table (LakeWaterLevel.shp, compressed).
No data indicated with “9999” in the table.
2.  The map of the temporal observational network (figure1.pdf) on lakes located in the Mirror peninsula, the Larsemann Hills, East Antarctica with the map #13130 by the Australian Antarctic division, 2004 on the background.
3. The table with location and indexing of the water level measurements (LakeWaterLevel.shp, compressed). The flowing attributes are available:
index in the ANARE74 (Numb)
SCAR name of the (Name)
Latitude and longitude WGS84, degree (Lat  and Lon)
Absolute height WGS84, meter (Heigth(m))
Coordinate System (CoordSys)
Gauge number in the file level_all.txt and the table 1.


 


 

 
description: The work has got financial support from the Academy of Finland (contract number 304345) and the logistic support of the the Russian Antarctic Expedition.
DOI: 10.15468/dl.4xwtx5
title: Occurrence Download

description: A dataset containing 22 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Coutarea hexandra (Jacq.) K.Schum.)",
 "BasisOfRecord is one of (Human Observation, Observation, Living Specimen)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "Continent is North America"
 ]
}

 The dataset includes 22 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017677-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.au9pnk
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((15.45755 51.87955,15.46954 51.87955,15.46954 51.88404,15.45755 51.88404,15.45755 51.87955))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Thaumetopoea processionea Linnaeus, 1758"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017678-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.dgufcu
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Csapodya challengeri Borhidi & Reyes-García)",
 "BasisOfRecord is one of (Human Observation, Observation, Living Specimen)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "Continent is North America"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017679-250127130748423/datasets/export for details.
DOI: 10.6084/m9.figshare.28342511
title: Bordezac PIXE geochemical maps

description: Bordezac PIXE maps (EDF files) and instrument camera images during the acquisition. Data from 2018 & 2019 campaigns at AGLAE (IPERION CH). <br>Zip file that needs to be unzip.
DOI: 10.6084/m9.figshare.28342511.v1
title: Bordezac PIXE geochemical maps

description: Bordezac PIXE maps (EDF files) and instrument camera images during the acquisition. Data from 2018 & 2019 campaigns at AGLAE (IPERION CH). <br>Zip file that needs to be unzip.
DOI: 10.5281/zenodo.6384774
title: TARA Pacific CTAX colony morphological annotations release version 1_1

description: PHOTO dataset (in situ photos) and the colony morphometric analysis using in situ photographs of two scleractinian corals and one hydrozoan coral taken during the TARA Pacific Expedition: Pocillopra spp., Porites spp. and Millepora spp. respectively.
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.