cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/wf3dccrzb2.1
title: Genome-wide ambiguous variant-calls from the misalignments of SNPs-stricken next-generation sequencing reads

description: A gzipped variant-call-format (VCF) file of genome-wide ambiguous variant-calls from the misalignments of SNPs-stricken next-generation sequencing reads. The variant-calls calls are 'complement'/missing from the gnomAD v3.1 database's common (>=1% MAF) SNPs of 7 populations. 

The investigated populations are afr: African/African American, amr: Latino/Admixed American, asj: Ashkenazi Jewish, eas: East Asian, fin: Finnish, nfe: Non-Finnish European and sas: South Asian. The simulated data sets were based on two common read-lengths/-formats: 1x100bp and 2x150bp. The intention for such a design was to mimic short DNA fragments' insert sizes with the 1x100bp and good quality DNA fragments with the 2x150bp read format. 

Within the VCF, "SM" information tag denotes the name of the sample, which the variant is ambiguously called from. The samples' naming convention follows the format of "<read-length>-<population>".  As such, "100-sas" would denote 100bp read-length data set simulated with common (>= 1% MAF) SNPs specific to the South Asian population.
DOI: 10.17632/f4tksd52dn.1
title: Petrogenesis of late Carboniferous Garnet-bearing, peraluminous Granitoids in the West Junggar Oceanic Arc, NW China: Implications for Crustal Maturation and Rapid Supracrustal Recycling

description: Zircon U-Pb-Lu–Hf–O isotope and whole rock  compositions data from the granitic batholiths in the Junggar, NW China
DOI: 10.17632/dkzsx9g9xx.1
title: Data for: Association between economic growth and suicide in Japan

description: Panel data of suicides by gender by prefecture and socio-economic variables by prefecture of Japan
DOI: 10.17632/f4tksd52dn.2
title: Petrogenesis of late Carboniferous Garnet-bearing, peraluminous Granitoids in the West Junggar Oceanic Arc, NW China: Implications for Crustal Maturation and Rapid Supracrustal Recycling

description: Zircon U-Pb-Lu–Hf–O isotope and whole rock  compositions data from the granitic batholiths in the Junggar, NW China
DOI: 10.17632/s5mhhsp6pj.1
title: Cornus datasets

description: Hyb-seq, RAD-esq, and plastid datasets of Cornus species
DOI: 10.17632/bzbbxx5f5m.1
title: Data for "Mapping N deposition impacts on soil microbial biomass across global terrestrial ecosystems"

description: Raw data for "Mapping N deposition impacts on soil microbial biomass across global terrestrial ecosystems"
DOI: 10.17632/x844x4ky8x.1
title: Neurons perform high aerobic glycolysis in somata to prevent oxidative damage

description: Different distribution of PKM2 drives neurons to use aerobic glycolysis in somata to prevent oxidative damage and OXPHOS in terminals to meet high energy demands.
DOI: 10.17632/h83wcd4468.1
title: Data and analyses scripts for Belluardo et al.-Malagasy Scincinae

description: Datasets, input files and R scripts of all analyses described in the manuscript.
DOI: 10.17632/vwtgfj5vzg.1
title: ofc_units_ca_odor_disc

description: unit recording and imaging during 4-odor go/no-go discrimination learning
DOI: 10.17632/xfx2yhw949.1
title: Data and analyses scripts Belluardo et al. - Slow and steady wins the race: Diversification rate is independent from body size and lifestyle in Malagasy skinks (Squamata: Scincidae: Scincinae)

description: Datasets, input files and R scripts of the analyses performed in the manuscript.
DOI: 10.17632/xgwc9dgb46.1
title: Database: A questionnaire development to assess the social representation of nurses in the Basque Country: a psychometric assessment 

description: Database: A questionnaire development to assess the social representation of nurses in the Basque Country: a psychometric assessment
DOI: 10.6084/m9.figshare.21802099
title: raw data related with Table 1-4 and figures 2\3\4\7

description: The original data related with Table 1-4 and Figures 2\3\ 4 \7 in the article
DOI: 10.6084/m9.figshare.21802099.v1
title: raw data related with Table 1-4 and figures 2\3\4\7

description: The original data related with Table 1-4 and Figures 2\3\ 4 \7 in the article
DOI: 10.5281/zenodo.7336831
title: additional file 1.Raw data of 392 lncRNA R-type PTS

description: The file contains 3377 R-type PTS information predicted by Triplexator, rendered in tpx format.
DOI: 10.5281/zenodo.7336830
title: additional file 1.Raw data of 392 lncRNA R-type PTS

description: The file contains 3377 R-type PTS information predicted by Triplexator, rendered in tpx format.
DOI: 10.3886/e180882v1-131540
title: Columbus Healthy Aging Project

description: Data come from the cross-sectional pilot survey, the Columbus Healthy Aging Project (CHAP). CHAP was designed to assess several domains of health (e.g., HIV/STI, substance use) and potential risk factors (e.g., stress, stigma) among adults aged 50 years and older in Columbus, Ohio. Recruitment occurred throughout the Columbus metropolitan area exclusively via Facebook and Instagram. As this study has a particular focus on assessing disparities between sexual minorities and heterosexuals two ads were run: one for the general population and a second targeted towards sexual minorities. Inclusion criteria included: 1) age ≥50 years; 2) residence in Columbus, Ohio or surrounding suburbs; 3) access to a computer or smartphone to complete the online survey assessment; and 4) a working email address. We also aimed to recruit equal numbers of sexual minority and heterosexual participants while maintaining a racially and ethnically diverse sample that was reflective of Columbus’s own distribution. All participants provided written informed consent and were compensated $20 in the form of an Amazon gift card for their time. All study protocols and procedures were approved by The Ohio State University’s Institutional Review Board.
description: None.
description: Convenience sample, recruited online.
DOI: 10.34740/kaggle/dsv/4795250
title: Elon Musk Tweets
DOI: 10.5281/zenodo.7337020
title: additional file 2.Raw data of 392 lncRNA Y-type PTS

description: The file contains 3537 Y-type PTS information predicted by Triplexator, rendered in tpx format.
DOI: 10.5281/zenodo.7337019
title: additional file 2.Raw data of 392 lncRNA Y-type PTS

description: The file contains 3537 Y-type PTS information predicted by Triplexator, rendered in tpx format.
DOI: 10.5281/zenodo.7337042
title: additional file 3.Raw data of 392 lncRNA M-type PTS

description: The file contains 2309 M-type PTS information predicted by Triplexator, rendered in tpx format.
DOI: 10.5281/zenodo.7337041
title: additional file 3.Raw data of 392 lncRNA M-type PTS

description: The file contains 2309 M-type PTS information predicted by Triplexator, rendered in tpx format.
DOI: 10.5281/zenodo.7426505
title: pNEUMA Vision Dataset

description: The pNEUMA Vision dataset is the drone traffic imagery dataset that contains images of frame and vehicle annotations as positions. This dataset is the expansion of the pNEUMA, the urban trajectory dataset collected by swarms of drones in Athens. For more details about pNEUMA and pNEUMA Vision, please check our website at https://open-traffic.epfl.ch and github.
DOI: 10.5281/zenodo.7426506
title: pNEUMA Vision Dataset

description: The pNEUMA Vision dataset is the drone traffic imagery dataset that contains images of frame and vehicle annotations as positions. This dataset is the expansion of the pNEUMA, the urban trajectory dataset collected by swarms of drones in Athens. For more details about pNEUMA and pNEUMA Vision, please check our website at https://open-traffic.epfl.ch and github.
DOI: 10.5519/qd.jfmfkua6
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (5420926 records)
DOI: 10.5519/qd.fy65m77i
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (1 records)
DOI: 10.34740/kaggle/dsv/4795513
title: Soyabean Disease Dataset
DOI: 10.34740/kaggle/dsv/4795515
title: YouTube Daily
DOI: 10.5281/zenodo.7491348
title: Electron backscatter diffraction patterns from a single crystal silicon wafer

description: An electron backscatter diffraction (EBSD) dataset of (50, 50) patterns of (480, 480) pixel resolution from a single crystal silicon wafer. The patterns were acquired on a NORDIF UF-1100 detector in a Zeiss Supra 55 VP FEG SEM operated at 20 kV. The working distance was 16.1 mm and the nominal sample tilt was 70\(^{\circ}\). The nominal step size is 40 μm, so the scan covers a nominal area of (2 x 2) μm<sup>2</sup>. The patterns are stored in NORDIF's binary file format (Pattern.dat) with the top-left pixel in the top-left pattern as the first byte, and the bottom-right pixel in the bottom-right pattern as the last byte. The patterns can be opened in for example the open-source Python package kikuchipy (https://github.com/pyxem/kikuchipy) with the following commands: <pre><code class="language-python">import kikuchipy as kp s = kp.load("Pattern.dat")</code></pre>
description: The data was acquired while Håkon Wiik Ånes received financial support from the Norwegian University of Science and Technology (NTNU) through the NTNU Aluminium Product Innovation Centre (NAPIC).
DOI: 10.5281/zenodo.7491349
title: Electron backscatter diffraction patterns from a single crystal silicon wafer

description: An electron backscatter diffraction (EBSD) dataset of (50, 50) patterns of (480, 480) pixel resolution from a single crystal silicon wafer. The patterns were acquired on a NORDIF UF-1100 detector in a Zeiss Supra 55 VP FEG SEM operated at 20 kV. The working distance was 16.1 mm and the nominal sample tilt was 70\(^{\circ}\). The nominal step size is 40 μm, so the scan covers a nominal area of (2 x 2) μm<sup>2</sup>. The patterns are stored in NORDIF's binary file format (Pattern.dat) with the top-left pixel in the top-left pattern as the first byte, and the bottom-right pixel in the bottom-right pattern as the last byte. The patterns can be opened in for example the open-source Python package kikuchipy (https://github.com/pyxem/kikuchipy) with the following commands: <pre><code class="language-python">import kikuchipy as kp s = kp.load("Pattern.dat")</code></pre>
description: The data was acquired while Håkon Wiik Ånes received financial support from the Norwegian University of Science and Technology (NTNU) through the NTNU Aluminium Product Innovation Centre (NAPIC).
DOI: 10.5281/zenodo.7491388
title: Electron backscatter diffraction patterns from a single crystal silicon wafer

description: An electron backscatter diffraction (EBSD) dataset of (50, 50) patterns of (480, 480) pixel resolution from a single crystal silicon wafer. The patterns were acquired on a NORDIF UF-1100 detector in a Zeiss Supra 55 VP FEG SEM operated at 20 kV. The working distance was 16.1 mm and the nominal sample tilt was 70\(^{\circ}\). The nominal step size is 40 μm, so the scan covers a nominal area of (2 x 2) μm<sup>2</sup>. The patterns are stored in NORDIF's binary file format (Pattern.dat) with the top-left pixel in the top-left pattern as the first byte, and the bottom-right pixel in the bottom-right pattern as the last byte. The patterns can be opened in for example the open-source Python package kikuchipy (https://github.com/pyxem/kikuchipy) with the following commands: <pre><code class="language-python">import kikuchipy as kp s = kp.load("Pattern.dat")</code></pre>
description: The data was acquired while Håkon Wiik Ånes received financial support from the Norwegian University of Science and Technology (NTNU) through the NTNU Aluminium Product Innovation Centre (NAPIC).
DOI: 10.5281/zenodo.7497692
title: Curculionoidea of the MaB Monte Grappa Biosphere Reserve

description: The present database represent the most updated recollection of faunistic and distribution data for the Cuculionoidea beetles recorded in the Man and Biosphere (MaB) Monte Grappa Biosphere Reserve.
DOI: 10.5281/zenodo.7497691
title: Curculionoidea of the MaB Monte Grappa Biosphere Reserve

description: The present database represent the most updated recollection of faunistic and distribution data for the Cuculionoidea beetles recorded in the Man and Biosphere (MaB) Monte Grappa Biosphere Reserve.
DOI: 10.5281/zenodo.3634442
title: bncolorado/CorpusSonetosSigloDeOro: First release

description: Primera versión completa del corpus de sonetos.
DOI: 10.34740/kaggle/dsv/4795566
title: Global Genomic Neurofibromatosis Neoplasia
DOI: 10.34740/kaggle/dsv/4795666
title: 2021 World Population (updated daily)
DOI: 10.21227/wnps-pa25
title: Hydraulic valve fault diagnosis vibration data

description: Waterproof valve fault diagnosis test bench test data.
DOI: 10.34740/kaggle/dsv/4795721
title: YouTube Trending Video Dataset (updated daily)
DOI: 10.5281/zenodo.7497740
title: naso_minor_ragtag_01.fasta.gz

description: .
DOI: 10.5281/zenodo.7497739
title: naso_minor_ragtag_01.fasta.gz

description: .
DOI: 10.34740/kaggle/dsv/4795831
title: COVID Vaccination in World (updated daily)
DOI: 10.6084/m9.figshare.16869439.v1
title: dataset-Residential Electricity current and appliance dataset for AC-event detection from Indian Dwellings..zip

description: The RESIDE-AC dataset is available as well-structured and easy-to-use .CSV (Comma Separated Values) files. The data set contains 19 summer days data from 10/05/2021 IST to 28/05/2021 IST for 8 single-AC homes and 3 homes with more than one AC. Garud and Envilog captured datetime values in IST (Indian Standard Time) which can be converted to UTC by subtracting 5:30 hours. Each home has 27360 Garud records and 5472 Envilog records.
DOI: 10.6084/m9.figshare.16869439
title: dataset- Residential Electricity current and appliance dataset for AC-event detection from Indian Dwellings.

description: The RESIDE-AC dataset is available as well-structured and easy-to-use .CSV (Comma Separated Values) files. The data set contains 19 summer days data from 10/05/2021 IST to 28/05/2021 IST for 8 single-AC homes and 3 homes with more than one AC. Garud and Envilog captured datetime values in IST (Indian Standard Time) which can be converted to UTC by subtracting 5:30 hours. Each home has 27360 Garud records and 5472 Envilog records.
DOI: 10.6084/m9.figshare.16869439.v2
title: dataset- Residential Electricity current and appliance dataset for AC-event detection from Indian Dwellings.

description: The RESIDE-AC dataset is available as well-structured and easy-to-use .CSV (Comma Separated Values) files. The data set contains 19 summer days data from 10/05/2021 IST to 28/05/2021 IST for 8 single-AC homes and 3 homes with more than one AC. Garud and Envilog captured datetime values in IST (Indian Standard Time) which can be converted to UTC by subtracting 5:30 hours. Each home has 27360 Garud records and 5472 Envilog records.
DOI: 10.5281/zenodo.6456704
title: Project-NN-Pytorch-scripts Toy Datasets

description: === General === This Zenodo repository contains datasets used for https://github.com/nii-yamagishilab/project-NN-Pytorch-scripts. They are derived from: ASVspoof 2019 LA https://datashare.ed.ac.uk/handle/10283/3336, provided by ASVspoof organization committee, licensed under the Open Data Commons Attribution License; ASVspoof 2021 DF 10.5281/zenodo.4835107, provided by ASVspoof organization committee, licensed under the Open Data Commons Attribution License; ASVspoof 2021 LA 10.5281/zenodo.4817650, provided by ASVspoof organization committee, licensed under the Open Data Commons Attribution License; ESPnet audio samples provided by Hayashi et at. (Tomoki Hayashi et al. Espnet-TTS: Unified, Reproducible, and Integratable Open Source End-to-End Text-to-Speech Toolkit. In <em>Proc. ICASSP</em>, 7654–7658. 2020.), https://espnet.github.io/icassp2020-tts/; The ESPNet samples were produced based on the LJspeech database by Keith Ito and Linda Johnson, https://keithito.com/LJ-Speech-Dataset, released in the public domain. All the data released here inherits the Open Data Commons Attribution License, unless it is specified in the corresponding data package.
DOI: 10.5281/zenodo.7314976
title: Project-NN-Pytorch-scripts Datasets and Resources

description: === General === This Zenodo repository contains datasets used for https://github.com/nii-yamagishilab/project-NN-Pytorch-scripts. They are derived from: ASVspoof 2019 LA https://datashare.ed.ac.uk/handle/10283/3336, provided by ASVspoof organization committee, licensed under the Open Data Commons Attribution License; ASVspoof 2021 DF 10.5281/zenodo.4835107, provided by ASVspoof organization committee, licensed under the Open Data Commons Attribution License; ASVspoof 2021 LA 10.5281/zenodo.4817650, provided by ASVspoof organization committee, licensed under the Open Data Commons Attribution License; ESPnet audio samples provided by Hayashi et at. (Tomoki Hayashi et al. Espnet-TTS: Unified, Reproducible, and Integratable Open Source End-to-End Text-to-Speech Toolkit. In <em>Proc. ICASSP</em>, 7654–7658. 2020.), https://espnet.github.io/icassp2020-tts/; The ESPNet samples were produced based on the LJspeech database by Keith Ito and Linda Johnson, https://keithito.com/LJ-Speech-Dataset, released in the public domain. All the data released here inherits the Open Data Commons Attribution License, unless it is specified in the corresponding data package.
DOI: 10.5281/zenodo.7315515
title: Project-NN-Pytorch-scripts Datasets and Resources

description: === General === This Zenodo repository contains datasets used for https://github.com/nii-yamagishilab/project-NN-Pytorch-scripts. They are derived from: ASVspoof 2019 LA https://datashare.ed.ac.uk/handle/10283/3336, provided by ASVspoof organization committee, licensed under the Open Data Commons Attribution License; ASVspoof 2021 DF 10.5281/zenodo.4835107, provided by ASVspoof organization committee, licensed under the Open Data Commons Attribution License; ASVspoof 2021 LA 10.5281/zenodo.4817650, provided by ASVspoof organization committee, licensed under the Open Data Commons Attribution License; ESPnet audio samples provided by Hayashi et at. (Tomoki Hayashi et al. Espnet-TTS: Unified, Reproducible, and Integratable Open Source End-to-End Text-to-Speech Toolkit. In <em>Proc. ICASSP</em>, 7654–7658. 2020.), https://espnet.github.io/icassp2020-tts/; The ESPNet samples were produced based on the LJspeech database by Keith Ito and Linda Johnson, https://keithito.com/LJ-Speech-Dataset, released in the public domain. All the data released here inherits the Open Data Commons Attribution License, unless it is specified in the corresponding data package.
DOI: 10.5281/zenodo.7497769
title: Project-NN-Pytorch-scripts Datasets and Resources

description: === General === This Zenodo repository contains datasets used for https://github.com/nii-yamagishilab/project-NN-Pytorch-scripts. All the data released with a CC BY-SA 4.0 lincense https://creativecommons.org/licenses/by-sa/4.0/, unless it is specified in the corresponding data package. Note: Data derived from ASVspoof 2019 LA https://datashare.ed.ac.uk/handle/10283/3336, provided by ASVspoof organization committee, is licensed under the Open Data Commons Attribution License https://opendatacommons.org/licenses/by/1-0/; Data derived from ASVspoof 2021 DF 10.5281/zenodo.4835107, provided by ASVspoof organization committee, is licensed under the Open Data Commons Attribution License https://opendatacommons.org/licenses/by/1-0/; Data derived from ASVspoof 2021 LA 10.5281/zenodo.4817650, provided by ASVspoof organization committee, is licensed under the Open Data Commons Attribution License https://opendatacommons.org/licenses/by/1-0/; ESPNet samples were partially produced based on the LJspeech database by Keith Ito and Linda Johnson, https://keithito.com/LJ-Speech-Dataset, released in the public domain. ESPNet samples were partially produced based on the LibriTTS database, LibriTTS: A Corpus Derived from LibriSpeech for Text-to-Speech", Heiga Zen, Viet Dang, Rob Clark, Yu Zhang, Ron J. Weiss, Ye Jia, Zhifeng Chen, and Yonghui Wu, arXiv, 2019 https://www.openslr.org/60/. It is released with CC BY 4.0 https://creativecommons.org/licenses/by/4.0 That's all
DOI: 10.5281/zenodo.6456703
title: Project-NN-Pytorch-scripts Datasets and Resources

description: === General === This Zenodo repository contains datasets used for https://github.com/nii-yamagishilab/project-NN-Pytorch-scripts. All the data released with a CC BY-SA 4.0 lincense https://creativecommons.org/licenses/by-sa/4.0/, unless it is specified in the corresponding data package. Note: Data derived from ASVspoof 2019 LA https://datashare.ed.ac.uk/handle/10283/3336, provided by ASVspoof organization committee, is licensed under the Open Data Commons Attribution License https://opendatacommons.org/licenses/by/1-0/; Data derived from ASVspoof 2021 DF 10.5281/zenodo.4835107, provided by ASVspoof organization committee, is licensed under the Open Data Commons Attribution License https://opendatacommons.org/licenses/by/1-0/; Data derived from ASVspoof 2021 LA 10.5281/zenodo.4817650, provided by ASVspoof organization committee, is licensed under the Open Data Commons Attribution License https://opendatacommons.org/licenses/by/1-0/; ESPNet samples were partially produced based on the LJspeech database by Keith Ito and Linda Johnson, https://keithito.com/LJ-Speech-Dataset, released in the public domain. ESPNet samples were partially produced based on the LibriTTS database, LibriTTS: A Corpus Derived from LibriSpeech for Text-to-Speech", Heiga Zen, Viet Dang, Rob Clark, Yu Zhang, Ron J. Weiss, Ye Jia, Zhifeng Chen, and Yonghui Wu, arXiv, 2019 https://www.openslr.org/60/. It is released with CC BY 4.0 https://creativecommons.org/licenses/by/4.0 That's all
DOI: 10.6084/m9.figshare.21802314
title: Folder of dataset.zip

description: Dataset
DOI: 10.6084/m9.figshare.21802314.v1
title: Folder of dataset.zip

description: Dataset
DOI: 10.6084/m9.figshare.21802344.v1
title: In-situ Sr isotope disequilibrium in plagioclases from Late Cenozoic basalts in Leiqiong Area: Evidence for the role of the Hainan Plume and mantle metasomatism due to a paleo-subduction event

description: Analytical Method, Geochemical Data, and Supplementary Figures generated in this study are included in the Supplementary I, Tables S1-S6, and Figures S1-S9
DOI: 10.5281/zenodo.7492099
title: MUSES Fractional Vegetation Coverage (FVC) 8-Day Global 500m SIN Grid in 2017

description: The MUltiscale Satellite remotE Sensing (MUSES) product suite includes products with different spatial and temporal resolutions for parameters such as Normalized Difference Vegetation Index (NDVI), Near-Infrared Reflectance of Vegetation (NIRv), Leaf Area Index (LAI), Fraction of Absorbed Photosynthetically Active Radiation (FAPAR), Fractional Vegetation Coverage (FVC), Gross Primary Production (GPP), Net Primary Production (NPP). For more information about the MUSES products, please refer to this website (https://muses.bnu.edu.cn/). This dataset is the MUSES global FVC product at 500m spatial resolution and 8-day temporal resolution. The MUSES FVC product is provided on a Sinusoidal grid and spans from 2000 to 2018 (continuously updated). It was generated from the MUSES LAI product at 500m resolution and other ancillary information using the complement to unity of the transmittance of light through the entire canopy in the nadir viewing direction (Xiao <em>et al</em>., 2016). The MUSES FVC values are physically consistent with the corresponding MUSES LAI values. The MUSES FVC product is spatially complete and temporally continuous. This dataset is the MUSES FVC product in 2017. Please <em><strong>click here</strong> to download the MUSES FVC product <strong>in 2016</strong></em>, and <em><strong>click here</strong> to download the MUSES FVC product <strong>in 2018</strong></em>. <strong>Dataset Characteristics:</strong> Spatial Coverage: Global; Temporal Coverage: 2017; Spatial Resolution: 500m; Temporal Resolution: 8 days; Projection: Sinusoidal; Data Format: HDF; Scale: 0.004; Valid Range: 0 – 250. <strong>Citation </strong>(Please cite this paper whenever these data are used)<strong>:</strong> Xiao Zhiqiang, <em>et a</em>l. (2016). Estimating the Fractional Vegetation Cover from GLASS Leaf Area Index Product. <em>Remote Sensing</em>, 8, 337. If you have any questions, please contact Prof. Zhiqiang Xiao (zhqxiao@bnu.edu.cn).