cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.12783470
title: Coconut morphology dataset

description: Morphology data base for coconut populations from Colombia
DOI: 10.6084/m9.figshare.12783470.v2
title: Coconut morphology dataset

description: Morphology data base for coconut populations from Colombia
DOI: 10.6084/m9.figshare.12783470.v1
title: Coconut morphology dataser

description: Morphology data base for coconut populations from Colombia
DOI: 10.5281/zenodo.4058558
title: Dataset for "Edge Defects and Energy Barriers in Skyrmion Monolayers"

description: <em><strong>Dataset for "Edge Defects and Energy Barriers in Skyrmion Monolayers"</strong></em> This dataset provides data from a series of atomistic simulations from experiments on the effects of varying the size of defects on a monolayer of Cobalt, where defects of three shapes (square, triangle and bezier) are varied in size, and the effect of the demagnetising interaction viewed.<br> The simulations were performed with the open-source software Fidimag (10.5334/jors.223, 10.5281/zenodo.2650286). The dataset is split into several directories, and the data is either stored in VTK files (which can be opened by a variety of free tools, for e.g. Paraview and MayaVi, TecPlot), and CSV files and NDT files, which can be opened in standard numerical data libraries and software (e.g. Pandas, NumPy, Excel, LibreOffice Calc) or opened in a text editor for viewing directly. <strong>energy-barrier-data</strong> This folder contains space delimited NDT files which give the energy information history across a set of simulations. This contains 6 folders:<br> squ-nd, tri-nd, bez-nd and squ-wd, tri-wd, bez-wd which correspond to data for the square, triangle and bezier defects, calculated without and with the demagnetising interaction respectively. For the triangle datasets, the files are labelled with the width of the defect. For the square datasets, the files are labelled with the width and height of the defect. For the bezier datasets, the files are labelled with the width, and the height of the control point for a bezier curve. Each row in the data file gives the energy of a set of images in the Nudged Elastic Band Method at a given iteration; thus, the final row is the converged energy data. <strong>energy-term-data-triangles</strong> This folder contains more detailed energy information calculated for the converged triangle images. These CSV files are labelled with the width of the defect, and 'nd' for no demagnetising interaction, and 'wd' if the demagnetistaion is present (e.g. 'w_0.5_nd.csv' is the file for a width 0.5nm triangular defect with no demagnetising interaction). These files have columns corresponding to the different magnetic energies (Exchange, Anisotropy, DMI, Demagnetising) in Joules for each image in the NEBM calculation, along with the total energy of each state. <strong>vtks</strong> This folder contains VTK files of some of the states used to create figures. There are six folders <br> * no-defect and no-defect-wd which correspond to the set of images from simulations of the nanostructure with no defect present<br> * squ-5.0_5.0 and squ-wd-5.0_5.0 which are for the sample with a 5.0nm by 5.0nm defect<br> * tri-7.0 and tri-wd-7.0 which are for the sample with a triangular defect of width 7.0nm.
DOI: 10.5281/zenodo.4058557
title: Dataset for "Edge Defects and Energy Barriers in Skyrmion Monolayers"

description: <em><strong>Dataset for "Edge Defects and Energy Barriers in Skyrmion Monolayers"</strong></em> This dataset provides data from a series of atomistic simulations from experiments on the effects of varying the size of defects on a monolayer of Cobalt, where defects of three shapes (square, triangle and bezier) are varied in size, and the effect of the demagnetising interaction viewed.<br> The simulations were performed with the open-source software Fidimag (10.5334/jors.223, 10.5281/zenodo.2650286). The dataset is split into several directories, and the data is either stored in VTK files (which can be opened by a variety of free tools, for e.g. Paraview and MayaVi, TecPlot), and CSV files and NDT files, which can be opened in standard numerical data libraries and software (e.g. Pandas, NumPy, Excel, LibreOffice Calc) or opened in a text editor for viewing directly. <strong>energy-barrier-data</strong> This folder contains space delimited NDT files which give the energy information history across a set of simulations. This contains 6 folders:<br> squ-nd, tri-nd, bez-nd and squ-wd, tri-wd, bez-wd which correspond to data for the square, triangle and bezier defects, calculated without and with the demagnetising interaction respectively. For the triangle datasets, the files are labelled with the width of the defect. For the square datasets, the files are labelled with the width and height of the defect. For the bezier datasets, the files are labelled with the width, and the height of the control point for a bezier curve. Each row in the data file gives the energy of a set of images in the Nudged Elastic Band Method at a given iteration; thus, the final row is the converged energy data. <strong>energy-term-data-triangles</strong> This folder contains more detailed energy information calculated for the converged triangle images. These CSV files are labelled with the width of the defect, and 'nd' for no demagnetising interaction, and 'wd' if the demagnetistaion is present (e.g. 'w_0.5_nd.csv' is the file for a width 0.5nm triangular defect with no demagnetising interaction). These files have columns corresponding to the different magnetic energies (Exchange, Anisotropy, DMI, Demagnetising) in Joules for each image in the NEBM calculation, along with the total energy of each state. <strong>vtks</strong> This folder contains VTK files of some of the states used to create figures. There are six folders <br> * no-defect and no-defect-wd which correspond to the set of images from simulations of the nanostructure with no defect present<br> * squ-5.0_5.0 and squ-wd-5.0_5.0 which are for the sample with a 5.0nm by 5.0nm defect<br> * tri-7.0 and tri-wd-7.0 which are for the sample with a triangular defect of width 7.0nm.
DOI: 10.5519/qd.61tjsd68
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (1 records)
DOI: 10.5281/zenodo.4058520
title: Genotype_data_NBPGR

description: <strong>Genotyping for the manuscript entitled "Identification of QTLs/defense genes effective at seedling stage against prevailing races of wheat stripe rust in India."</strong>
DOI: 10.5281/zenodo.4058519
title: Genotype_data_NBPGR

description: <strong>Genotyping for the manuscript entitled "Identification of QTLs/defense genes effective at seedling stage against prevailing races of wheat stripe rust in India."</strong>
DOI: 10.6084/m9.figshare.13020635
title: Coconut Linkage Disequilibrium Data

description: LD data for the coconut genome
DOI: 10.6084/m9.figshare.13020635.v1
title: Coconut Linakage Disequilibrium Data

description: LD data for the coconut genome
DOI: 10.17028/rd.lboro.12180150
title: Tourism as memory-making: METADATA

description: ESRC project "Tourism as memory-making: heritage and memory-wars in post-Soviet cities"<br>One metadata file (excel)<br>File name: METADATA Tourism as Memory-Making - by city.xlsx<br>The file summarises all data collected for the ESRC project "Tourism as memory-making: heritage and memory wars in post-Soviet cities" (2019-2021). The metadata file details all the data collected in three case studies in Tallinn, Kyiv and Almaty, including interviews with tour guides, participant observations of guided tours, interviews with tourists and tourism and heritage stakeholders (expert interviews). It includes both archived data and data that hasn't been archived due to a lack of consent from participants. <br>It includes basic information such as date of data collection, length of recording, participants' gender and age, thematic orientation of guided tours and other contextual information.<br>
DOI: 10.6084/m9.figshare.13020047
title: R0235_20181019a_videos

description: Rat 0235, skilled reaching data collected in Leventhal laboratory by Alexandra Bova
DOI: 10.5519/qd.rdlcsr7m
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (1 records)
DOI: 10.5281/zenodo.4058624
title: Mapping potential for Working with Natural Processes (Wales)

description: Areas with potential for managing flood risk by protecting, restoring and emulating the natural regulating function of catchments and rivers. The areas are classified according to the features defined in Section 2 of the guide published here:<br> <br> https://assets.publishing.service.gov.uk/government/uploads/system/uploads/attachment_data/file/725264/Working_with_natural_processes_mapping_user_guide.pdf<br> <br> The areas of the features described in that report have been computed per Water Framework Directive cycle 2 Waterbody catchment polygons. Input data sets are: WFD River Waterbody Catchments Cycle 2 (Open Government licence)<br> WWNP layers (all are supplied under open government licence) for:<br> Floodplain Reconnection Potential<br> Riparian Woodland Potential<br> Floodplain Woodland Potential<br> Wider Catchment Woodland Potential<br> Runoff Attenuation Features 1% AEP<br> Runoff Attenuation Features 3.3% AEP<br> Woodland data constrained by woodland constraints<br> Predictive Agricultural Land Classification (ALC) All input data sets are available from data.gov.uk under the Open Government License http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/
DOI: 10.5281/zenodo.4058623
title: Mapping potential for Working with Natural Processes (Wales)

description: Areas with potential for managing flood risk by protecting, restoring and emulating the natural regulating function of catchments and rivers. The areas are classified according to the features defined in Section 2 of the guide published here:<br> <br> https://assets.publishing.service.gov.uk/government/uploads/system/uploads/attachment_data/file/725264/Working_with_natural_processes_mapping_user_guide.pdf<br> <br> The areas of the features described in that report have been computed per Water Framework Directive cycle 2 Waterbody catchment polygons. Input data sets are: WFD River Waterbody Catchments Cycle 2 (Open Government licence)<br> WWNP layers (all are supplied under open government licence) for:<br> Floodplain Reconnection Potential<br> Riparian Woodland Potential<br> Floodplain Woodland Potential<br> Wider Catchment Woodland Potential<br> Runoff Attenuation Features 1% AEP<br> Runoff Attenuation Features 3.3% AEP<br> Woodland data constrained by woodland constraints<br> Predictive Agricultural Land Classification (ALC) All input data sets are available from data.gov.uk under the Open Government License http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/
DOI: 10.5281/zenodo.4058492
title: Database used for the supervised learning of few dirty bosons with variable particle number

description: This dataset includes files with points of different disordered potentials and their corresponding ground state energies depending on the number of particles of the system (N=1,2,3,4). It has been used to train a neural network.
DOI: 10.5281/zenodo.4058491
title: Database used for the supervised learning of few dirty bosons with variable particle number

description: This dataset includes files with points of different disordered potentials and their corresponding ground state energies depending on the number of particles of the system (N=1,2,3,4). It has been used to train a neural network.
DOI: 10.6084/m9.figshare.13020047.v1
title: R0235_20181019a_videos

description: Rat 0235, skilled reaching data collected in Leventhal laboratory by Alexandra Bova
DOI: 10.5519/qd.5blvouae
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (1 records)
DOI: 10.5281/zenodo.4058664
title: Dataset for: "BACPHLIP: Predicting bacteriophage lifestyle from conserved protein domains"

description: This is the dataset used in the manuscript titled "BACPHLIP: Predicting bacteriophage lifestyle from conserved protein domains". The dataset is necessary to run the code that can be found at https://github.com/adamhockenberry/bacphlip-model-dev and outside of the context of the code this data will likely not be super well-annotated or helpful. The code within that repository, however, should provide sufficient information about the structure and usage of this dataset.
DOI: 10.5281/zenodo.4058663
title: Dataset for: "BACPHLIP: Predicting bacteriophage lifestyle from conserved protein domains"

description: This is the dataset used in the manuscript titled "BACPHLIP: Predicting bacteriophage lifestyle from conserved protein domains". The dataset is necessary to run the code that can be found at https://github.com/adamhockenberry/bacphlip-model-dev and outside of the context of the code this data will likely not be super well-annotated or helpful. The code within that repository, however, should provide sufficient information about the structure and usage of this dataset.
DOI: 10.6084/m9.figshare.13020713
title: BIOL 3250 Birds datasheet.xlsx

description: This is a semi-tidy data sheet where each row on the data sheet represents a species level observation. Observations were made approximately 1-2 hours before sundown at several local parks that included ponds and vegetation like trees and shrubs. Observations were then taken within a 60min time period.
DOI: 10.15468/gaczas
title: Nemaspela borkoae sp. nov. (Opiliones: Nemastomatidae), the second species of the genus from the Dinaric Karst

description: This dataset contains the digitized treatments in Plazi based on the original journal article Kozel, Peter, Delić, Teo, Novak, Tone (2020): Nemaspela borkoae sp. nov. (Opiliones: Nemastomatidae), the second species of the genus from the Dinaric Karst. European Journal of Taxonomy 717: 90-107, DOI: https://doi.org/10.5852/ejt.2020.717.1103
DOI: 10.34740/kaggle/dsv/1525384
title: YouTube Trending Video Dataset (updated daily)
DOI: 10.5517/ccdc.csd.cc25g20r
title: CCDC 2009513: Experimental Crystal Structure Determination

description: Related Article: Walker R. Marks, Douglas F. Baumgardner, Eric W. Reinheimer, John D. Gilbertson|2020|Chem.Commun.|56|11441|doi:10.1039/D0CC04115G
DOI: 10.5281/zenodo.4058712
title: Resveratrol Clinical Trials: Number of Studies per Condition

description: As of May 2020, there were 165 reported clinical trials related to “resveratrol” with 114 completed and 24 active studies; the conditions and subsequent number of studies are reported in this file. The majority establish a role for Resveratrol in metabolic disease. https://clinicaltrials.gov/
description: This is a excel workbook. The conditions can be clicked on to link directly to clinical trials at clinicaltrials.gov
DOI: 10.5281/zenodo.4058711
title: Resveratrol Clinical Trials: Number of Studies per Condition

description: As of May 2020, there were 165 reported clinical trials related to “resveratrol” with 114 completed and 24 active studies; the conditions and subsequent number of studies are reported in this file. The majority establish a role for Resveratrol in metabolic disease. https://clinicaltrials.gov/
description: This is a excel workbook. The conditions can be clicked on to link directly to clinical trials at clinicaltrials.gov
DOI: 10.5281/zenodo.4031204
title: Bulk and single-cell gene expression profiling of SARS-CoV-2 infected human cell lines identifies molecular targets for therapeutic intervention

description: Single cell RNA seq datasets used for analysis in the Bulk and single-cell gene expression profiling of SARS-CoV-2 infected human cell lines identifies molecular targets for therapeutic intervention
description: {"references": ["https://doi.org/10.1101/2020.05.05.079194"]}
DOI: 10.5281/zenodo.4031203
title: Bulk and single-cell gene expression profiling of SARS-CoV-2 infected human cell lines identifies molecular targets for therapeutic intervention

description: Single cell RNA seq datasets used for analysis in the Bulk and single-cell gene expression profiling of SARS-CoV-2 infected human cell lines identifies molecular targets for therapeutic intervention
description: {"references": ["https://doi.org/10.1101/2020.05.05.079194"]}
DOI: 10.6084/m9.figshare.11530677
title: Supporting information_GS_in_CWG

description: Metadata and scripts used for the analysis.
DOI: 10.6084/m9.figshare.11530677.v2
title: Supporting information_GS_in_CWG

description: Metadata and scripts used for the analysis.
DOI: 10.6084/m9.figshare.11530677.v1
title: Supporting information_GS_in_CWG

description: Metadata and scripts used for the analysis.
DOI: 10.5519/qd.au37e2m1
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (65 records)
DOI: 10.6084/m9.figshare.13021193
title: Balcony Birdwatching Pilot Lab

description: This is a semi-tidy data sheet where each row on the data sheet represents a species level observation. Observations were made approximately 1-2 hours before sundown at several local parks that included ponds and vegetation like trees and shrubs. Observations were then taken within a 60min time period.
DOI: 10.6084/m9.figshare.13021193.v1
title: Balcony Birdwatching Pilot Lab

description: This is a semi-tidy data sheet where each row on the data sheet represents a species level observation. Observations were made approximately 1-2 hours before sundown at several local parks that included ponds and vegetation like trees and shrubs. Observations were then taken within a 60min time period.
DOI: 10.6084/m9.figshare.12771359
title: Biochar PM Emissions

description: Windtunnel experiments<br>This project investigated the changes in particulate matter emissions from sand amended with 0-5% (by weight) biochar of different particle sizes in a wind tunnel equipped with an abrader. Three replicates of each treatment. (0%, 5%, 10%, 20%). The data are collected every second and averaged to minute values.<br>a1, a2, a3, a4, a5, a6: PM10 measured at six different heights (0.5, 1, 2, 4, 6, and 10 cm) from the soil surface.<br><br>u1, u2, u3, u4, u5, u6: Wind velocity measured at six different heights (0.5, 1, 2, 4, 6, and 10 cm) from the soil surface.<br><br><br>File Names: %Biochar_Sieved or Unsieved_Sand or BiocharConcentration: Control, 5, 10, 20 % BiocharType: Sieved or Unsieved<br><br>PSD: Particle size distribution<br>Particle size particle size distribution of the collected samples in integrated horizontal slot sampler was determined using a laser diffraction particle size analyzer. (for unsieved and sieved Biochar)<br>
DOI: 10.5281/zenodo.4057208
title: FTIR Breast Cancer

description: Two breast cancer subtypes FTIR spectroscopy imaging A = LA breast cancer B = HER2 breast cancer
DOI: 10.5281/zenodo.4057207
title: FTIR Breast Cancer

description: Two breast cancer subtypes FTIR spectroscopy imaging A = LA breast cancer B = HER2 breast cancer
DOI: 10.5519/qd.a0opw6oo
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (1 records)
DOI: 10.6084/m9.figshare.12067332
title: DL_Models_Inference_Results

description: This dataset contains all the inference results for 83 runs of training experiments on the FPN2-WS and MRCNN nuclear segmentation models
DOI: 10.6084/m9.figshare.12067332.v7
title: DL_Models_Inference_Results

description: This dataset contains all the inference results for 83 runs of training experiments on the FPN2-WS and MRCNN nuclear segmentation models
DOI: 10.6084/m9.figshare.12067332.v6
title: DL_Models_Inference_Results

description: This dataset contains all the inference results for 83 runs of training experiments on the FPN2-WS and MRCNN nuclear segmentation models
DOI: 10.5281/zenodo.4053572
title: Wikitext-103 and OpenWebText Models

description: This repository contains 25 Wikitext-103 LSTM models and 25 LSTM models trained on a 100 million token subset of the OpenWebTextCorpus. Training/validation/test data is included with the Web models. By-epoch validation perplexity is given in the logs (within the directory for the models). Please write to me if you have any questions :)
DOI: 10.5281/zenodo.4053571
title: Wikitext-103 and OpenWebText Models

description: This repository contains 25 Wikitext-103 LSTM models and 25 LSTM models trained on a 100 million token subset of the OpenWebTextCorpus. Training/validation/test data is included with the Web models. By-epoch validation perplexity is given in the logs (within the directory for the models). Please write to me if you have any questions :)
DOI: 10.6084/m9.figshare.12905777
title: Functional annotation of Non-redundant ORF unigenes to Gene Ontology, KEGG and Protein Family databases of "De novo assembly of the Brown trout (Salmo trutta m. fario) brain and muscle transcriptome: transcript annotation, tissue differential expression profile and SNP discovery"

description: This data set contains processed results of the f<b>unctional annotation </b>of Non-redundant ORF unigenes to Gene Ontology, the Kyoto Encyclopedia of Genes and Genomes (KEGG) and Protein Family databases.GO term were simplified using a generic GOSlim vocabulary (GOslim annotation of non-redundant ORF unigene sequences.xlsx). Unigenes mapped to the reference canonical pathways in the KEGG database (KEGG pathway annotation of non-redundant ORF unigene sequences.xlsx). Protein motif were assigned by Pfam database (Protein family (Pfam) assignation to non-redundant ORF unigenes.xlsx).
DOI: 10.6084/m9.figshare.12905777.v2
title: Functional annotation of Non-redundant ORF unigenes to Gene Ontology, KEGG and Protein Family databases of "De novo assembly of the Brown trout (Salmo trutta m. fario) brain and muscle transcriptome: transcript annotation, tissue differential expression profile and SNP discovery"

description: This data set contains processed results of the f<b>unctional annotation </b>of Non-redundant ORF unigenes to Gene Ontology, the Kyoto Encyclopedia of Genes and Genomes (KEGG) and Protein Family databases.GO term were simplified using a generic GOSlim vocabulary (GOslim annotation of non-redundant ORF unigene sequences.xlsx). Unigenes mapped to the reference canonical pathways in the KEGG database (KEGG pathway annotation of non-redundant ORF unigene sequences.xlsx). Protein motif were assigned by Pfam database (Protein family (Pfam) assignation to non-redundant ORF unigenes.xlsx).
DOI: 10.6084/m9.figshare.12905777.v1
title: Functional annotation of Non-redundant ORF unigenes to Gene Ontology, KEGG and Protein Family databases of "De novo assembly of the Brown trout (Salmo trutta m. fario) brain and muscle transcriptome: transcript annotation, tissue differential expression profile and SNP discovery"

description: This data set contains processed results of the f<b>unctional annotation </b>of Non-redundant ORF unigenes to Gene Ontology, the Kyoto Encyclopedia of Genes and Genomes (KEGG) and Protein Family databases.GO term were simplified using a generic GOSlim vocabulary (GOslim annotation of non-redundant ORF unigene sequences.xlsx). Unigenes mapped to the reference canonical pathways in the KEGG database (KEGG pathway annotation of non-redundant ORF unigene sequences.xlsx). Protein motif were assigned by Pfam database (Protein family (Pfam) assignation to non-redundant ORF unigenes.xlsx).
DOI: 10.5519/qd.ip3htrq0
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (243 records)
DOI: 10.5281/zenodo.4058772
title: Dioxin Clinical Trials: Number of Studies per Condition

description: As of May 2020, there were 15 reported clinical trials related to “dioxin” with 8 completed and 5 active studies. https://clinicaltrials.gov/
description: This is a excel workbook. The conditions can be clicked on to link directly to clinical trials at clinicaltrials.gov
DOI: 10.5281/zenodo.4058771
title: Dioxin Clinical Trials: Number of Studies per Condition

description: As of May 2020, there were 15 reported clinical trials related to “dioxin” with 8 completed and 5 active studies. https://clinicaltrials.gov/
description: This is a excel workbook. The conditions can be clicked on to link directly to clinical trials at clinicaltrials.gov