cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.13136277
title: Towards personalized immersive virtual reality neurorehabilitation: A human-centered design

description: The dataset - of the journal article "Towards personalized immersive virtual reality neurorehabilitation: A human-centered design" - consists of transcripts data of semi-structured (per participant) and of a participatory design workshop (per group).  It also contains responses of twenty-four participants to an online questionnaire, and .xlsx files showing the analysis of the transcripts. 

This repository also includes the Unity project of an immersive virtual environment - a replica of a training room of a Dutch Rehabilitation center - six videos of different versions of the same virtual environment, and two videos of participants exploring the virtual environment, demonstrating real-time changes made by VR developers based on participant feedback.
DOI: 10.15468/dl.ec62p2
title: Occurrence Download

description: A dataset containing 673 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-105.65843 20.90453,-105.69813 20.43817,-105.58785 20.51255,-105.4864 20.52908,-105.37612 20.52494,-105.29231 20.57864,-105.29231 20.63644,-105.35848 20.71898,-105.45111 20.71898,-105.55257 20.73548,-105.61432 20.76023,-105.55698 20.78086,-105.50845 20.81797,-105.47758 20.87156,-105.65843 20.90453))",
 "TaxonKey is one of (Anguilliformes, Albuliformes, Atheriniformes, Aulopiformes, Batrachoidiformes, Beloniformes, Beryciformes, Gasterosteiformes, Gonorynchiformes, Holocentridae, Lophiiformes, Perciformes, Pleuronectiformes, Scorpaeniformes, Siluriformes, Syngnathiformes, Tetraodontiformes)"
 ]
}

 The dataset includes 673 records from 20 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0045805-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.13173221
title: Binary black-hole simulation SXS:BBH:1396

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.13173222
title: Binary black-hole simulation SXS:BBH:1396

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.13173166
title: Temporal Drivers of Abundance and Community Structure of Scyphozoan Jellyfish

description: This is the raw (unprocessed) datasets for scyphozoan jellyfish abundance (catch per unit effort: no. of individual/net) and environmental water parameters (salinity, temperature, pH, DO, turbidity, current speed) collected during the monthly sampling routine (June 2010-December 2011) and 24-hour (diel) sampling series conducted during the dry period of the southwest monsoon (June-July 2011) and wet period of the northeast monsoon (November-December 2011) at the Klang Strait, Malaysia.

Jellyfish samples were collected during daylight flood tide occasion of the full moon on a monthly basis for 19 months (June 2010-December 2011). Sampling times were fixed at approximately six hours during the flood tide. To investigate the effect of rainfall (dry/wet period), moon phases, diel cycle and tide cycle on scyphozoan abundance, two additional sampling series were conducted on the driest period (June – July, SWM) and wettest period (November – December, NEM) of the year based on past data (Malaysian Meteorological Department). At each dry and wet period, jellyfish were collected at approximately 6-hourly sampling intervals over a 24-hour cycle every week for a month. The samplings thus covered all daily tides in the tide cycle (two flood tides and two ebb tides), day and night (diel cycle), and four consecutive moon phases (1st quarter moon, full moon, 3rd quarter moon, new moon). The number of bag nets (as replicates) set during samplings were highly dependent on weather condition and ranged from 8 to 20 nets per sampling occasion. All jellyfish from the bag nets were instantly examined and photographed in the field for identification using the keys and descriptions of Rizman-Idid et al. (2016), Jarms and Morandini (2019), and Syazwan et al. (2020b).

Physical water parameters were obtained monthly at the surface layer (0.5 - 1.0 m depth from the surface) of the water column during day time (monthly sampling series), and at approximately two-hourly intervals over 24 hours (diel sampling series).

Legends: SWM = southwest monsoon; IN = inter-monsoon; NEM = northeast monsoon; D = dry period; W = wet period; 1Q = 1st quarter moon; FM = full moon; 3Q = 3rd quarter moon; NM = new moon; D = day; N = night; F = flood tide; E = ebb tide
DOI: 10.5281/zenodo.13173167
title: Temporal Drivers of Abundance and Community Structure of Scyphozoan Jellyfish

description: This is the raw (unprocessed) datasets for scyphozoan jellyfish abundance (catch per unit effort: no. of individual/net) and environmental water parameters (salinity, temperature, pH, DO, turbidity, current speed) collected during the monthly sampling routine (June 2010-December 2011) and 24-hour (diel) sampling series conducted during the dry period of the southwest monsoon (June-July 2011) and wet period of the northeast monsoon (November-December 2011) at the Klang Strait, Malaysia.

Jellyfish samples were collected during daylight flood tide occasion of the full moon on a monthly basis for 19 months (June 2010-December 2011). Sampling times were fixed at approximately six hours during the flood tide. To investigate the effect of rainfall (dry/wet period), moon phases, diel cycle and tide cycle on scyphozoan abundance, two additional sampling series were conducted on the driest period (June – July, SWM) and wettest period (November – December, NEM) of the year based on past data (Malaysian Meteorological Department). At each dry and wet period, jellyfish were collected at approximately 6-hourly sampling intervals over a 24-hour cycle every week for a month. The samplings thus covered all daily tides in the tide cycle (two flood tides and two ebb tides), day and night (diel cycle), and four consecutive moon phases (1st quarter moon, full moon, 3rd quarter moon, new moon). The number of bag nets (as replicates) set during samplings were highly dependent on weather condition and ranged from 8 to 20 nets per sampling occasion. All jellyfish from the bag nets were instantly examined and photographed in the field for identification using the keys and descriptions of Rizman-Idid et al. (2016), Jarms and Morandini (2019), and Syazwan et al. (2020b).

Physical water parameters were obtained monthly at the surface layer (0.5 - 1.0 m depth from the surface) of the water column during day time (monthly sampling series), and at approximately two-hourly intervals over 24 hours (diel sampling series).

Legends: SWM = southwest monsoon; IN = inter-monsoon; NEM = northeast monsoon; D = dry period; W = wet period; 1Q = 1st quarter moon; FM = full moon; 3Q = 3rd quarter moon; NM = new moon; D = day; N = night; F = flood tide; E = ebb tide
DOI: 10.5281/zenodo.13173241
title: Binary black-hole simulation SXS:BBH:1400

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.13173242
title: Binary black-hole simulation SXS:BBH:1400

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.15468/dl.xeddwb
title: Occurrence Download

description: A dataset containing 9330 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-95.29811 16.14675,-95.39549 16.0454,-95.41983 16.0064,-95.59023 15.9518,-95.87423 15.85815,-96.23938 15.7098,-96.40167 15.69417,-96.54772 15.67855,-96.8155 15.75666,-96.80738 15.45186,-95.32246 15.47532,-95.29811 16.14675))",
 "TaxonKey is one of (Anguilliformes, Albuliformes, Atheriniformes, Aulopiformes, Batrachoidiformes, Beloniformes, Beryciformes, Gasterosteiformes, Gonorynchiformes, Holocentridae, Lophiiformes, Perciformes, Pleuronectiformes, Scorpaeniformes, Siluriformes, Syngnathiformes, Tetraodontiformes)"
 ]
}

 The dataset includes 9330 records from 28 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0045806-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.13173267
title: Binary black-hole simulation SXS:BBH:1408

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.13173268
title: Binary black-hole simulation SXS:BBH:1408

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.10371444
title: GWAS summary statistics for corneal resistance factor in 72,301 unrelated UK Biobank white-British participants

description: The dataset contains summary statistics of the genome-wide association study (GWAS) for corneal resistance factor (CRF) of 72,301 unrelated UK-biobank white-British individuals, originally generated by Jiang X, et al (2020) (doi: 10.1038/s42003-020-01497-w).

Generation of the dataset: 



Phynotypic filtering:


The CRF analysis was performed on the average of the left and right eye measurements. Any outliers (i.e. CRF greater than the population mean difference + 3 standard deviations) were removed. Further phenotypic filtering was applied by removing samples linked to, or self-reporting, ocular conditions that could affect the measurements accuracy such as eye surgery, refractive laser surgery, cataract surgery, glaucoma high pressure surgery or laser treatment, corneal graft surgery, eye injury, keratoconus or cornea disorders.



Population selection:


Using the genetic quality control of the UK Biobank, white British participants with imputed data failing heterozygosity or/and missingness, or having a mismatch between self-reported and genotype-derived gender or showing putative sex chromosome aneuploidy as well as individuals who have withdrawn from the study at the time of analysis were removed. This GWAS is restricted to individuals who were not closely related (pairwise kinship coefficient greater than 0.025 calculated by KING). Finally, a total of 72,301 individuals were included in the GWAS.



GWAS:


The GWAS was performed using the generalized linear model  (--glm) in PLINK2, common and low-frequency (MAF > 0.5%) well-imputed (INFO > 0.6) variants. Covariates fitted in the model were: age, sex, genotyping array, assessment center, genotyping batch, and the 20 first principal components of ancestry provided by the UK Biobank.



UK Biobank application number: 19655


 

Methods:

Please see Jiang X, et al (2020) (doi: 10.1038/s42003-020-01497-w) for more details:

 

Header Description:



CHROM: chromosome,

POS: hg19/GRCh37 position

ID: variant Rsid

A1: effective allele, minor allele

A2: alternative allele, major allele

BETA: effect size

SE: standard error

P: P value

INFO: imputation quality

MAF: Minor allele frequency


 

Some related analysis using this dataset: 

Jiang X, et al (2020) (doi: 10.1038/s42003-020-01497-w):  Fine-mapped CRF GWAS loci using FINEMAP and in-sample linkage disequilibrium data 

Jiang X, et al (2023) (doi: 10.3389/fgene.2023.1171217): Two colocalisation analysis using fine-mapped data: 1) CRF - cis-e/sQTL (GTEx v8); (2) CRF-keratoconus
DOI: 10.5281/zenodo.10371445
title: GWAS summary statistics for corneal resistance factor in 72,301 unrelated UK Biobank white-British participants

description: The dataset contains summary statistics of the genome-wide association study (GWAS) for corneal resistance factor (CRF) of 72,301 unrelated UK-biobank white-British individuals, originally generated by Jiang X, et al (2020) (doi: 10.1038/s42003-020-01497-w).

Generation of the dataset: 



Phynotypic filtering:


The CRF analysis was performed on the average of the left and right eye measurements. Any outliers (i.e. CRF greater than the population mean difference + 3 standard deviations) were removed. Further phenotypic filtering was applied by removing samples linked to, or self-reporting, ocular conditions that could affect the measurements accuracy such as eye surgery, refractive laser surgery, cataract surgery, glaucoma high pressure surgery or laser treatment, corneal graft surgery, eye injury, keratoconus or cornea disorders.



Population selection:


Using the genetic quality control of the UK Biobank, white British participants with imputed data failing heterozygosity or/and missingness, or having a mismatch between self-reported and genotype-derived gender or showing putative sex chromosome aneuploidy as well as individuals who have withdrawn from the study at the time of analysis were removed. This GWAS is restricted to individuals who were not closely related (pairwise kinship coefficient greater than 0.025 calculated by KING). Finally, a total of 72,301 individuals were included in the GWAS.



GWAS:


The GWAS was performed using the generalized linear model  (--glm) in PLINK2, common and low-frequency (MAF > 0.5%) well-imputed (INFO > 0.6) variants. Covariates fitted in the model were: age, sex, genotyping array, assessment center, genotyping batch, and the 20 first principal components of ancestry provided by the UK Biobank.



UK Biobank application number: 19655


 

Methods:

Please see Jiang X, et al (2020) (doi: 10.1038/s42003-020-01497-w) for more details:

 

Header Description:



CHROM: chromosome,

POS: hg19/GRCh37 position

ID: variant Rsid

A1: effective allele, minor allele

A2: alternative allele, major allele

BETA: effect size

SE: standard error

P: P value

INFO: imputation quality

MAF: Minor allele frequency


 

Some related analysis using this dataset: 

Jiang X, et al (2020) (doi: 10.1038/s42003-020-01497-w):  Fine-mapped CRF GWAS loci using FINEMAP and in-sample linkage disequilibrium data 

Jiang X, et al (2023) (doi: 10.3389/fgene.2023.1171217): Two colocalisation analysis using fine-mapped data: 1) CRF - cis-e/sQTL (GTEx v8); (2) CRF-keratoconus
DOI: 10.5281/zenodo.13173293
title: Binary black-hole simulation SXS:BBH:1415

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.13173294
title: Binary black-hole simulation SXS:BBH:1415

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.15468/dl.ydey2v
title: Occurrence Download

description: A dataset containing 10 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Agama hispida makarikarika Fitzsimons, 1932"
 ]
}

 The dataset includes 10 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0045807-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.13173329
title: Binary black-hole simulation SXS:BBH:2265

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.13173330
title: Binary black-hole simulation SXS:BBH:2265

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.13173336
title: Binary black-hole simulation SXS:BBH:1392

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.13173337
title: Binary black-hole simulation SXS:BBH:1392

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.13173094
title: Outsorcing y el Cuarto Elemento del Costo
DOI: 10.5281/zenodo.13173095
title: Outsorcing y el Cuarto Elemento del Costo
DOI: 10.5281/zenodo.13173375
title: Binary black-hole simulation SXS:BBH:1414

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.13173376
title: Binary black-hole simulation SXS:BBH:1414

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.13173421
title: Binary black-hole simulation SXS:BBH:1405

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.13173422
title: Binary black-hole simulation SXS:BBH:1405

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.6084/m9.figshare.25295377.v1
title: Data for manuscript "Fertilization regulates global thresholds in soil bacteria"

description: Data for manuscript "Fertilization regulates global thresholds in soil bacteria"
DOI: 10.15468/dl.fc9ag4
title: Occurrence Download

description: A dataset containing 3574 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Heraclides thoas (Linnaeus, 1771)"
 ]
}

 The dataset includes 3574 records from 31 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0045810-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.21227/4b56-mx28
title: Three-Phase Grid-Connected Electric Vehicles Charging Station with Photovoltaic Panels

description: Electric Vehicles Charging Station with Photovoltaic PanelsThis dataset contains the model and simulation output results in Matlab/Simulink of a three-phase grid-connected charging station with PV panels for electric vehiicles realized in a work submitted to the 13th IEEE International Conference and Exposition on Electrical and Power Engineering EPEi 2024 (https://www.epe.tuiasi.ro/).
DOI: 10.5281/zenodo.13173425
title: Binary black-hole simulation SXS:BBH:1409

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.13173426
title: Binary black-hole simulation SXS:BBH:1409

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.15468/dl.awhhwq
title: Occurrence Download

description: A dataset containing 2828261333 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 2828261333 records from 63802 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0044880-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gbqovu
title: Occurrence Download

description: A dataset containing 16 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Lathyrus basalticus Rech.f."
 ]
}

 The dataset includes 16 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006543-170714134226665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.syxfhu
title: Occurrence Download

description: A dataset containing 4314 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is Censo parcelas bosque seco Bolívar y Guajira"
 ]
}

 The dataset includes 4314 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0039476-231002084531237/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6ybhdu
title: Occurrence Download

description: A dataset containing 1386 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Picea rubens Sarg."
 ]
}

 The dataset includes 1386 records from 51 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006543-171002173027117/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qnmcby
title: Occurrence Download

description: A dataset containing 6996 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Mammalia)",
 "Country is Uruguay"
 ]
}

 The dataset includes 6996 records from 78 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025821-231002084531237/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5066/p9diz9n8
title: GIS, supplemental data table, and references for focus areas of potential domestic resources of critical minerals and related commodities in the United States and Puerto Rico (ver. 2.0, April 2024)

description: In response to Executive Order 13817 of December 20, 2017, the U.S. Geological Survey (USGS) coordinated with the Bureau of Land Management (BLM) to identify 36 nonfuel minerals or mineral materials considered critical to the economic and national security of the United States (U.S.) (https://pubs.usgs.gov/of/2018/1021/ofr20181021.pdf). Acquiring information on possible domestic sources of these critical minerals is the rationale for the USGS Earth Mapping Resources Initiative (Earth MRI). The program, which partners the USGS with State Geological Surveys, Federal agencies, and the private sector, aims to collect new geological, geophysical, and topographic (lidar) data in key areas of the U.S. to stimulate mineral exploration and production of critical minerals. The USGS has identified broad areas within the United States to target acquisition of geologic mapping, geophysical data, and (or) detailed topographic information to aid research, mineral exploration, and evaluation of mineral potential in these areas. Focus areas were defined using existing geologic data including data on known deposits in the United States. The focus areas are provided as geospatial data supported by tables that summarize what is known about the mineral potential and brief descriptions of data gaps that could be addressed by the Earth MRI program. A full discussion of Earth MRI and the rationale and methods used to develop the geospatial data are provided in the following report: Hammarstrom, J.M., Dicken, C.L., Woodruff, L.G., Andersen, A.K., Brennan, S., Day, W.C., Drenth, B.J., Foley, N.K., Hall, S., Hofstra, A.H., McCafferty, A.E., Shah, A.K., and Ponce, D.A., 2022, Focus areas for data acquisition for potential domestic resources of 13 critical minerals in the conterminous United States and Puerto Rico&amp;mdash;Antimony, barite, beryllium, chromium, fluorspar, hafnium, helium, magnesium, manganese, potash, uranium, vanadium, and zirconium, chap. D of U.S. Geological Survey, Focus areas for data acquisition for potential domestic sources of critical minerals: U.S. Geological Survey Open-File Report 2019&amp;ndash;1023, 65 p., https://doi.org/10.3133/ofr20191023D.
DOI: 10.15468/dl.kewrb2
title: Occurrence Download

description: A dataset containing 254 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is Primer monitoreo y seguimiento de fauna terrestre para el AID y AII de la Pequeña Central Hidráulica Riofrío. 2018"
 ]
}

 The dataset includes 254 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0039481-231002084531237/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.s0wzax
title: Occurrence Download

description: A dataset containing 11 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Argentina",
 "StateProvince is misiones",
 "TaxonKey is Hydrocharitaceae"
 ]
}

 The dataset includes 11 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006543-171219132708484/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4f343q
title: Occurrence Download

description: A dataset containing 6996 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Mammalia)",
 "Country is Uruguay"
 ]
}

 The dataset includes 6996 records from 78 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0025824-231002084531237/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.