cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.t5u5vg
title: Occurrence Download

description: A dataset listing the 196 species recorded in GBIF matching the query:
{
 "DatasetKey" : [
 "is Odonata de Veracruz"
 ]
}

 The dataset's 196 records were derived from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0282610-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8b7cgn
title: Occurrence Download

description: A dataset containing 221 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Türkiye",
 "TaxonKey is Juniperus excelsa M.-Bieb."
 ]
}

 The dataset includes 221 records from 28 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0179713-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vqq65q
title: Occurrence Download

description: A dataset containing 192 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Latimeria chalumnae Smith, 1939"
 ]
}

 The dataset includes 192 records from 43 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0220882-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rhehbv
title: Occurrence Download

description: A dataset containing 6316 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON ((4.875 53.075,4.925 53.075,4.925 53.125,4.875 53.125,4.875 53.075))",
 "DatasetKey is Observation.org, Nature data from around the World",
 "TaxonKey is Animalia"
 ]
}

 The dataset includes 6316 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0305442-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.t74e76
title: Occurrence Download

description: A dataset containing 712 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Amaranthus standleyanus Parodi ex Covas"
 ]
}

 The dataset includes 712 records from 63 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0293524-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.t5tbs8
title: Occurrence Download

description: A dataset containing 68 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Scutiger nyingchiensis Fei"
 ]
}

 The dataset includes 68 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0087238-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.dn526b
title: Occurrence Download

description: A dataset containing 2049 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((120.43185 27.71757,121.02512 27.71757,121.02512 28.19309,120.43185 28.19309,120.43185 27.71757))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 2049 records from 31 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0262986-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bx9dzh
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Aspidaspis densiflorae (Bremner, 1907)",
 {
 "not" : {
 "DatasetKey" : [
 "is Global database of alien macrofungi"
 ]
 }
 },
 {
 "or" : [
 "Country is Poland",
 "Country is Poland"
 ]
 }
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0393675-210914110416597/datasets/export for details.
DOI: 10.15468/dl.qtxvrv
title: Occurrence Download

description: A dataset containing 1525 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON ((4.875 53.175,4.925 53.175,4.925 53.225,4.875 53.225,4.875 53.175))",
 "DatasetKey is Observation.org, Nature data from around the World",
 "TaxonKey is Animalia"
 ]
}

 The dataset includes 1525 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0305438-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.42puvt
title: Occurrence Download

description: A dataset containing 41 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Adenomera araucaria Kwet & Angulo, 2002"
 ]
}

 The dataset includes 41 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0062931-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.kq6sst
title: Occurrence Download

description: A dataset containing 7983110 species occurrences available in GBIF matching the query:
{
 "Country" : [
 "is Japan"
 ]
}

 The dataset includes 7983110 records from 2023 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0083174-200221144449610/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.5564850
title: Mirror of data from NOAA U.S. Climate Reference Network for Research Computing in Earth Science

description: This is a mirror of data from the NOAA U.S. Climate Reference Network (https://www.ncei.noaa.gov/products/land-based-station/us-climate-reference-network). It was created because outbound FTP access is not allowed from some cloud-based JupyterHub setups.
DOI: 10.5281/zenodo.5553028
title: Mirror of data from NOAA U.S. Climate Reference Network for Research Computing in Earth Science

description: This is a mirror of data from the NOAA U.S. Climate Reference Network (https://www.ncei.noaa.gov/products/land-based-station/us-climate-reference-network). It was created because outbound FTP access is not allowed from some cloud-based JupyterHub setups.
DOI: 10.21942/uva.14731593
title: Treatment level dataset and read me file

description: Treatment level dataset for the paper <br>Collaborative Dishonesty: A Meta-Analysis<br><br><br><br>
DOI: 10.21942/uva.14731593.v3
title: Treatment level dataset and read me file

description: Treatment level dataset for the paper <br>Collaborative Dishonesty: A Meta-Analysis<br><br><br><br>
DOI: 10.21942/uva.14731593.v2
title: Treatment level dataset and read me file

description: Treatment level dataset for the paper <br>Collaborative Dishonesty: A Meta-Analysis<br><br><br><br>
DOI: 10.5281/zenodo.5553029
title: Mirror of data from NOAA U.S. Climate Reference Network for Research Computing in Earth Science

description: This is a mirror of data from the NOAA U.S. Climate Reference Network (https://www.ncei.noaa.gov/products/land-based-station/us-climate-reference-network). It was created because outbound FTP access is not allowed from some cloud-based JupyterHub setups.
DOI: 10.6084/m9.figshare.16797520
title: Expert_Picks_data.dta

description: This file contains data on expert picks.<br>
DOI: 10.6084/m9.figshare.16797520.v1
title: Expert_Picks_data.dta

description: This file contains data on expert picks.<br>
DOI: 10.34740/kaggle/dsv/2698517
title: Ethereum NFTs
DOI: 10.5281/zenodo.4431796
title: 3-D geological and petrophysical models with synthetic geophysics based on data from the Hamersley region (Western Australia)

description: 3-D geological and petrophysical models with synthetic geophysics based on data from the Hamersley region (Western Australia) M. Jessell<sup>1,2</sup>, J. Giraud<sup>1,2</sup>, M. Lindsay<sup>1,2 </sup> <sup>1</sup>Centre for Exploration Targeting (School of Earth Sciences), University of Western Australia, 35 Stirling Highway, 6009 Crawley, Australia <sup>2</sup>Mineral Exploration Cooperative Research Centre, School of Earth Sciences, University of Western Australia, 35 Stirling Highway, WA Crawley 6009, Australia Contact author: Jeremie Giraud (jeremie.giraud@uwa.edu.au) Companion dataset to the paper: Structural, petrophysical and geological constraints in potential field inversion using the Tomofast-x open-source code, J. Giraud, V. Ogarko, R. Martin, M. Lindsay, M. Jessell, Geoscientific Model Development Discussions. This dataset contains models and data shown in the paper, in both 2D and 3D: 1. Geological model Reference lithology voxet: The reference geological model was obtained using public data from the Geological Survey of Western Australia and modified subsequently (stretched vertically and flattened at surface level) for the purpose of this study. Probability voxet<br> The lithology probability voxet was derived using Monte Carlo simulations for uncertainty estimation as mentioned in the paper. 2. True and inverted models for density and magnetic susceptibility Derivation is detailed in the paper; it uses fictitious density and magnetic susceptibility values. 3. Bouguer and total magnetic field anomaly Calculation is detailed in the paper. The authors are supported, in part, by Loop – Enabling Stochastic 3D Geological Modelling (LP170100985) and the Mineral Exploration Cooperative Research Centre (MinEx CRC) whose activities are funded by the Australian Government's Cooperative Research Centre Program. This is MinEx CRC Document 2021/3. Mark Lindsay acknowledges funding from the ARC and DECRA DE190100431. It is a companion dataset to: <br> Vitaliy Ogarko, Jeremie Giraud, & Roland. (2021, February 5). Tomofast-x v1.0 source code (Version 1.0). Zenodo. http://doi.org/10.5281/zenodo.4452620
DOI: 10.5281/zenodo.4431795
title: 3-D geological and petrophysical models with synthetic geophysics based on data from the Hamersley region (Western Australia)

description: 3-D geological and petrophysical models with synthetic geophysics based on data from the Hamersley region (Western Australia) M. Jessell<sup>1,2</sup>, J. Giraud<sup>1,2</sup>, M. Lindsay<sup>1,2 </sup> <sup>1</sup>Centre for Exploration Targeting (School of Earth Sciences), University of Western Australia, 35 Stirling Highway, 6009 Crawley, Australia <sup>2</sup>Mineral Exploration Cooperative Research Centre, School of Earth Sciences, University of Western Australia, 35 Stirling Highway, WA Crawley 6009, Australia Contact author: Jeremie Giraud (jeremie.giraud@uwa.edu.au) Companion dataset to the paper: Structural, petrophysical and geological constraints in potential field inversion using the Tomofast-x open-source code, J. Giraud, V. Ogarko, R. Martin, M. Lindsay, M. Jessell, Geoscientific Model Development Discussions. This dataset contains models and data shown in the paper, in both 2D and 3D: 1. Geological model Reference lithology voxet: The reference geological model was obtained using public data from the Geological Survey of Western Australia and modified subsequently (stretched vertically and flattened at surface level) for the purpose of this study. Probability voxet<br> The lithology probability voxet was derived using Monte Carlo simulations for uncertainty estimation as mentioned in the paper. 2. True and inverted models for density and magnetic susceptibility Derivation is detailed in the paper; it uses fictitious density and magnetic susceptibility values. 3. Bouguer and total magnetic field anomaly Calculation is detailed in the paper. The authors are supported, in part, by Loop – Enabling Stochastic 3D Geological Modelling (LP170100985) and the Mineral Exploration Cooperative Research Centre (MinEx CRC) whose activities are funded by the Australian Government's Cooperative Research Centre Program. This is MinEx CRC Document 2021/3. Mark Lindsay acknowledges funding from the ARC and DECRA DE190100431. It is a companion dataset to: <br> Vitaliy Ogarko, Jeremie Giraud, & Roland. (2021, February 5). Tomofast-x v1.0 source code (Version 1.0). Zenodo. http://doi.org/10.5281/zenodo.4452620
DOI: 10.25345/c5xv9x
title: MassIVE MSV000088219 - Phosphorylation regulates activities of the microRNA and siRNA effector ARGONAUTE1 in Arabidopsis
title: Plant ARGONAUTE1 (AGO1) protein is the major effector of small RNA-mediated gene silencing and performs crucial functions in plant development and immunity. Here, we revealed that Arabidopsis thaliana AGO1 is phosphorylated in vivo, and the phosphorylation status of AGO1 impacts RISC formation and RISC activity.
DOI: 10.6084/m9.figshare.16790377
title: Dataset to the study ‘Redheaded women are more sexually active than other women, but it is probably due to their suitors’

description: The dataset contains variables sex (female = 0, male = 1), non-redheadedness measured as parameter R, redheadedness measured as parameter a*, redheadedness observer report, redheadedness self-report, redheadedness in childhood, redness of body hair, age, current sexual partnership, size of place of residence, physical disease (and 6 variables related to physical health which were used to calculate the index), mental disease (and 10 variables related to mental health which were used to calculate the index), sexual desire (and three variables from the Revised Sociosexual Orientation Inventory which were used to calculate sexual desire), sexual activity, number of sexual partners, age at first sexual intercourse, non-heterosexuality (and two variables asking about the intensity of being attracted to people of the same and opposite sex), BDSM index (and 9 variables related to sexual preferences which were used to calculate the index), and index of sexual dominance (and 8 variables related to sexual preferences which were used to calculate the index).
DOI: 10.6084/m9.figshare.16790377.v1
title: Dataset to the study ‘Redheaded women are more sexually active than other women, but it is probably due to their suitors’

description: The dataset contains variables sex (female = 0, male = 1), non-redheadedness measured as parameter R, redheadedness measured as parameter a*, redheadedness observer report, redheadedness self-report, redheadedness in childhood, redness of body hair, age, current sexual partnership, size of place of residence, physical disease (and 6 variables related to physical health which were used to calculate the index), mental disease (and 10 variables related to mental health which were used to calculate the index), sexual desire (and three variables from the Revised Sociosexual Orientation Inventory which were used to calculate sexual desire), sexual activity, number of sexual partners, age at first sexual intercourse, non-heterosexuality (and two variables asking about the intensity of being attracted to people of the same and opposite sex), BDSM index (and 9 variables related to sexual preferences which were used to calculate the index), and index of sexual dominance (and 8 variables related to sexual preferences which were used to calculate the index).
DOI: 10.18739/a23j39249
title: Airborne Laser Altimeter, Global Positioning System (GPS), Inertial Measurement Unit (IMU) and Imagery Campaign of the Surging Negribreen Glacier, Svalbard, in July 2017 and July 2018

description: **Data files are available at: [https://arcticdata.io/data/10.18739/A2QF8JK7T/](https://arcticdata.io/data/10.18739/A2QF8JK7T/)** Negribreen, one of largest glaciers in Svalbard, began surging in 2016 and continues to move at relatively fast speeds through 2021. Negribreen has not surged since 1935-1936 and hence there is no modern study on its surge dynamics. A surge-type glacier cycles quasi-periodically between a long quiescent phase of normal flow and a short surge phase when ice speeds increase by a factor of 10-200 times that of quiescence. The rapid ice-acceleration leads to a viscous cycle of wide spread crevassing, rapid advance, and increased calving that lead to catastrophic ice loss and frontal retreat. During the peak surge period in the 2017, the ice loss from Negribreen is estimated to have contributed 5-1.0% of total annual global sea-level rise. During our project, we collected laser altimeter, Global Positioning System (GPS), Inertial Measurement Unit (IMU), image and video data from small helicopter, to obtain high-resolution elevation data suitable for process studies and to complement satellite data. This data package includes the field data from two of our campaigns in July 2017 (negri\\_2017) and July 2018 (negri\_2018). Within each of these subdirectories, are folders containing each our data sets for the given campaign: (1) The 400 hertz (Hz) raw 905 nanometer (nm) laser altimeter data from LaserTech's Universal laser System (ULS) along with an error logfile (laser), (2) Handheld image data from a Nikon D5100 (D5100), and two Nikon Coolpix cameras (L120-1 and L120-2), (3) 1-Hz GPS data from a simple USB-connected GPS receiver (button\_GPS), (4) 10-Hz raw and processed GPS data from a base (Trimble NetR9) and rover (Septentrio APS-3G) kinematic GPS system borrowed from UNAVCO (gps\_unavco) (2018 only), (5) 1-Hz IMU data from a LORD 3DM-GX5-15 Virtual Reference Unit (imu), (6) 2-Hz imagery from a GoPro Hero-5 mounted on the underside of the helicopter (gopro) (2018 only) and (7) Video data from an Aiptex video camera (video-aiptex) (2017 only). A README file is included at the top of the directory structure that specifies the data format for each data type. Each campaign consisted of two successful flights and each of the data subfolders above contain additional subfolders labeled Flight1 or Flight2. A data set may be missing data for a given flight due to instrument failure (e.g. IMU data for Flight1 in 2017 and GoPro imagery for Flight1 in 2018). We were not able to reach Negribreen during Flight 1 of 2018 due to an approaching storm, so instead we collected data from Hayesbreen and Peterman Glacier, which lie just south of Negribreen, but were not currently surging. Some flights include photographic documentation of Tunabreen and other glaciers along the transit flight to Negribreen.
DOI: 10.6084/m9.figshare.16797589
title: Figure 4

description: These files contain the data for Figure 4 in the paper.
DOI: 10.6084/m9.figshare.16797589.v1
title: Figure 4

description: These files contain the data for Figure 4 in the paper.
DOI: 10.5281/zenodo.5564891
title: Design, construction and traceable calibration of a phosphor-based fibre-optic thermometer from 0 °C to 650 °C

description: Dataset associated with publication DOI https://doi.org/10.1088/1361-6501/abee53
DOI: 10.5281/zenodo.5564890
title: Design, construction and traceable calibration of a phosphor-based fibre-optic thermometer from 0 °C to 650 °C

description: Dataset associated with publication DOI https://doi.org/10.1088/1361-6501/abee53
DOI: 10.5281/zenodo.5564910
title: Supplemental Tables-Murine neonatal oxidant lung injury: NRF2-dependent predisposition to adulthood respiratory viral infection and protection by maternal antioxidant

description: This is a part of manuscript submitted for the special issue of <em>Antioxidants</em> (ISSN 2076-3921). This special issue belongs to the section "Health Outcomes of Antioxidants and Oxidative Stress". Table S1: Prenatal sulforaphane-altered lung genes in postnatal air-exposed <em>Nrf2<sup>+/+</sup></em> mice (n = 523, moderated t-Test, <em>p </em>&lt; = 0.01), Table S2: Prenatal sulforaphane-altered 918 lung genes in postnatal air-exposed <em>Nrf2<sup>-/-</sup></em> mice (n = 918, moderated t-Test, <em>p </em>&lt; =0.01), Table S3: Prenatal sulforaphane-neonatal hyperoxia interaction 258 genes in <em>Nrf2<sup>+/+</sup></em> mice (2-Way ANOVA, <em>p </em>&lt; =0.01), Table S4: Prenatal sulforaphane and neonatal hyperoxia interaction 239 genes in <em>Nrf2<sup>-/-</sup></em> mice (2-Way ANOVA, <em>p </em>&lt; = 0.01), Table S5: Prenatal sulforaphane-modulated genes in <em>Nrf2<sup>+/+</sup></em> placenta (t-Test unpaired p-value <em>p </em>&lt; = 0.05 ), Table S6: Prenatal sulforaphane-modulated genes in <em>Nrf2<sup>-/-</sup></em> placenta (t-Test unpaired p-value <em>p </em>&lt; =0.05 ).
DOI: 10.6084/m9.figshare.14998674
title: Summary Data for diffusion in PVA manuscript

description: Summary data used in a manuscript on solute diffusion in PVA hydrogels
DOI: 10.6084/m9.figshare.14998674.v1
title: Summary Data for diffusion in PVA manuscript

description: Summary data used in a manuscript on solute diffusion in PVA hydrogels
DOI: 10.5281/zenodo.5564923
title: German newspaper data for McMenamin et al., Institutions and Elections, Journalism, 2021.

description: German newspaper data (in STATA format) from McMenamin et al., Journalism, 2021. Code and other datasets also available on Zenodo.
DOI: 10.5281/zenodo.5564922
title: German newspaper data for McMenamin et al., Institutions and Elections, Journalism, 2021.

description: German newspaper data (in STATA format) from McMenamin et al., Journalism, 2021. Code and other datasets also available on Zenodo.
DOI: 10.5281/zenodo.5564921
title: Mass Loss of Platinum-Rhodium Thermocouple Wires at 1324°C

description: Data associated with publication https://doi.org/10.1595/205651321X16183288904988
DOI: 10.5281/zenodo.5564920
title: Mass Loss of Platinum-Rhodium Thermocouple Wires at 1324°C

description: Data associated with publication https://doi.org/10.1595/205651321X16183288904988
DOI: 10.6084/m9.figshare.16797673
title: Supporting Partition Coefficient Data for Revised Diffusion Manuscript

description: Data and a protocol for partition coefficients on solutes in PVA hydrogels.
DOI: 10.5281/zenodo.5113853
title: Building Large-Scale Gene-Disease Association Datasets for Biomedical Relation Extraction

description: This repository contains the GDAb and GDAt datasets. GDAb and GDAt are large-scale, distantly supervised, and manually enhanced datasets for Gene-Disease Association (GDA) extraction. Each dataset consists of three text files, corresponding to train, validation, and test sets, plus an additional JSON file containing the mapping between relation names and IDs. Each record in train, validation, or test files corresponds to a single GDA extracted from a sentence. Records are represented as JSON objects with the following structure: <strong>text:</strong> sentence from which the GDA was extracted. <strong>relation:</strong> relation name associated to the given GDA. <strong>h: </strong>JSON object representing the gene entity, composed of: <strong>id: </strong>UMLS CUI associated to the gene entity. <strong>name:</strong> UMLS preferred name associated to the gene entity. <strong>pos: </strong>list consisting of starting position and length of the gene mention within text. <strong>t:</strong> JSON object representing the disease entity, composed of: <strong>id: </strong>UMLS CUI associated to the disease entity. <strong>name:</strong> UMLS preferred name associated to the disease entity. <strong>pos:</strong> list consisting of starting position and length of the disease mention within text. Both datasets contain over 2,500,000 sentences and 500,000 bags.<br> The zip file consists of two folders, GDAb and GDAt, containing the files corresponding to the two datasets, respectively.