cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.7707033
title: wikipathways-20230210-gmt-Gallus_gallus.gmt

description: See GMT file for Gallus gallus pathways for all released versions.
description: {"references": ["Pico AR, Kelder T, van Iersel MP, Hanspers K, Conklin BR, Evelo C. WikiPathways: pathway editing for the people. PLoS Biol. 2008 Jul 22;6(7):e184. doi: 10.1371/journal.pbio.0060184. PMID: 18651794; PMCID: PMC2475545."]}
DOI: 10.5281/zenodo.7707034
title: wikipathways-20230210-gmt-Gallus_gallus.gmt

description: See GMT file for Gallus gallus pathways for all released versions.
description: {"references": ["Pico AR, Kelder T, van Iersel MP, Hanspers K, Conklin BR, Evelo C. WikiPathways: pathway editing for the people. PLoS Biol. 2008 Jul 22;6(7):e184. doi: 10.1371/journal.pbio.0060184. PMID: 18651794; PMCID: PMC2475545."]}
DOI: 10.5281/zenodo.7707031
title: wikipathways-20230210-gmt-Equus_caballus.gmt

description: See GMT file for Equus caballus pathways for all released versions.
description: {"references": ["Pico AR, Kelder T, van Iersel MP, Hanspers K, Conklin BR, Evelo C. WikiPathways: pathway editing for the people. PLoS Biol. 2008 Jul 22;6(7):e184. doi: 10.1371/journal.pbio.0060184. PMID: 18651794; PMCID: PMC2475545."]}
DOI: 10.5281/zenodo.7707032
title: wikipathways-20230210-gmt-Equus_caballus.gmt

description: See GMT file for Equus caballus pathways for all released versions.
description: {"references": ["Pico AR, Kelder T, van Iersel MP, Hanspers K, Conklin BR, Evelo C. WikiPathways: pathway editing for the people. PLoS Biol. 2008 Jul 22;6(7):e184. doi: 10.1371/journal.pbio.0060184. PMID: 18651794; PMCID: PMC2475545."]}
DOI: 10.5281/zenodo.7707029
title: wikipathways-20230210-gmt-Drosophila_melanogaster.gmt

description: See GMT file for Drosophila melanogaster pathways for all released versions.
description: {"references": ["Pico AR, Kelder T, van Iersel MP, Hanspers K, Conklin BR, Evelo C. WikiPathways: pathway editing for the people. PLoS Biol. 2008 Jul 22;6(7):e184. doi: 10.1371/journal.pbio.0060184. PMID: 18651794; PMCID: PMC2475545."]}
DOI: 10.5281/zenodo.7707030
title: wikipathways-20230210-gmt-Drosophila_melanogaster.gmt

description: See GMT file for Drosophila melanogaster pathways for all released versions.
description: {"references": ["Pico AR, Kelder T, van Iersel MP, Hanspers K, Conklin BR, Evelo C. WikiPathways: pathway editing for the people. PLoS Biol. 2008 Jul 22;6(7):e184. doi: 10.1371/journal.pbio.0060184. PMID: 18651794; PMCID: PMC2475545."]}
DOI: 10.5281/zenodo.7707027
title: wikipathways-20230210-gmt-Danio_rerio.gmt

description: See GMT file for Danio rerio pathways for all released versions.
description: {"references": ["Pico AR, Kelder T, van Iersel MP, Hanspers K, Conklin BR, Evelo C. WikiPathways: pathway editing for the people. PLoS Biol. 2008 Jul 22;6(7):e184. doi: 10.1371/journal.pbio.0060184. PMID: 18651794; PMCID: PMC2475545."]}
DOI: 10.5281/zenodo.7707028
title: wikipathways-20230210-gmt-Danio_rerio.gmt

description: See GMT file for Danio rerio pathways for all released versions.
description: {"references": ["Pico AR, Kelder T, van Iersel MP, Hanspers K, Conklin BR, Evelo C. WikiPathways: pathway editing for the people. PLoS Biol. 2008 Jul 22;6(7):e184. doi: 10.1371/journal.pbio.0060184. PMID: 18651794; PMCID: PMC2475545."]}
DOI: 10.5281/zenodo.7707025
title: wikipathways-20230210-gmt-Canis_familiaris.gmt

description: See GMT file for Canis familiaris pathways for all released versions.
description: {"references": ["Pico AR, Kelder T, van Iersel MP, Hanspers K, Conklin BR, Evelo C. WikiPathways: pathway editing for the people. PLoS Biol. 2008 Jul 22;6(7):e184. doi: 10.1371/journal.pbio.0060184. PMID: 18651794; PMCID: PMC2475545."]}
DOI: 10.5281/zenodo.7707026
title: wikipathways-20230210-gmt-Canis_familiaris.gmt

description: See GMT file for Canis familiaris pathways for all released versions.
description: {"references": ["Pico AR, Kelder T, van Iersel MP, Hanspers K, Conklin BR, Evelo C. WikiPathways: pathway editing for the people. PLoS Biol. 2008 Jul 22;6(7):e184. doi: 10.1371/journal.pbio.0060184. PMID: 18651794; PMCID: PMC2475545."]}
DOI: 10.5281/zenodo.7707023
title: wikipathways-20230210-gmt-Caenorhabditis_elegans.gmt

description: See GMT file for Caenorhabditis elegans pathways for all released versions.
description: {"references": ["Pico AR, Kelder T, van Iersel MP, Hanspers K, Conklin BR, Evelo C. WikiPathways: pathway editing for the people. PLoS Biol. 2008 Jul 22;6(7):e184. doi: 10.1371/journal.pbio.0060184. PMID: 18651794; PMCID: PMC2475545."]}
DOI: 10.5281/zenodo.7707024
title: wikipathways-20230210-gmt-Caenorhabditis_elegans.gmt

description: See GMT file for Caenorhabditis elegans pathways for all released versions.
description: {"references": ["Pico AR, Kelder T, van Iersel MP, Hanspers K, Conklin BR, Evelo C. WikiPathways: pathway editing for the people. PLoS Biol. 2008 Jul 22;6(7):e184. doi: 10.1371/journal.pbio.0060184. PMID: 18651794; PMCID: PMC2475545."]}
DOI: 10.6073/pasta/067108e9983d30d9149c14fc649f75c1
title: Regional and local variation in chemical, structural, and physical leaf traits for tree species in the northeastern United States

description: This dataset is a compilation of leaf trait measurements for tree species in the northeastern United States collected between 2017 and 2022 by the Terrestrial Ecosystems Analysis Lab at the University of New Hampshire. Currently, this dataset contains 1351 samples, including 18 chemical, physical and structural traits collected across 25 different tree species. Traits include stable isotopes for carbon (C) and nitrogen (N), percent C and N, C:N ratio, total chlorophyll (chl), chl a, chl b, chl a:b ratio, leaf mass per area, average leaf dry mass, average leaf area, length, and width, leaf water content, average petiole length and petiole dry mass, and petiole water content. Traits have been measured at plots spanning a wide range of latitude, longitude, elevation, and forest types. A simple table containing these plot descriptions have been included. Leaf physiological and optical traits have been measured concurrently on many of these samples and published separately.
DOI: 10.25345/c5bg2hm2f
title: MassIVE MSV000091472 - Label-free, systematic comparison of proteomes reveals ciliary and non-ciliary phenotypes of IFT-A mutants
title: The associated files are mass spec data from size exclusion chromatographic separations of wild type (CU428, TSC_SD00178, Tetrahymena Stock Center) and Ift122 null (TSC_SD01791 x TSC_SD01792) Tetrahymena thermophila strains.
DOI: 10.26180/21669668.v1
title: Supplementary material articles reviewed.docx

description: This is the complete list of all articles that met the inclusion criteria for this review. Details are provided for reader reference. Note the numbering provided corresponds to the numbering in the article titled<em> 'What would bell hooks think of the remote teaching and learning in Physical Education during the COVID-19 pandemic? A critical review of the literature'. </em>For further data please contact the authors.
DOI: 10.6075/j0xs5sks
title: TRANSLATION CLR
title: VARIANT
title: SHARE Tracer Record CLR--SUBTITLE CLR--PART NAME CLR--PART NUMBER CLR

description: NOTE:DESCRIPTION
description: NOTE:TECHNICAL DETAILS
description: NOTE:METHODS
DOI: 10.18712/nsd-nsd1334-v2
title: ICT, disability and employment, 2008

description: The project will focus on the following main issues : 1 ) What public policy measures are designed to make use of ICT -based tools that can promote the employment of disabled people in Norway , the UK, Netherlands and Denmark ? 2 ) How is diffusion organized in the comparison countries? 3) What specific ICT -tools/aids are mostly used by people with visual, hearing or restricted movement in the comparison countries? To what extent does the use of these technologies promote workplace integration of these groups ? 4) The extent to which the users( ie, employers and employees ) needs translates to actual production of ICT products and how one can possibly ensure that user needs increasingly are communicated to the innovation community ?

The issues are examined by combining different methodological approaches : a) a comparative analysis of the systems of diffusion agents in the Netherlands , England , Denmark, partially USA and Norway , based partly on interviews with users , innovators , experts, representatives of authorities and user organizations , b) analysis of the literature with emphasis on models and experiences with the organization of diffusion , c ) case studies of how some key technologies are being introduced, in order to study how the technology is being used in workplaces that have employees with disabilities , d ) provide the basis for developing evaluation- and assessment tools for the evaluation of technology e ) the establishment of a forum for ICT and universal accessibility in the workplace . The project builds on and complements the NFR project: " Disability , work and the welfare state " performed by Fafo and AFI - including utilizing informants , data and analysis from this project. We will also collaborate with NTNU.
DOI: 10.5281/zenodo.7684490
title: Compiling Chronology of Massive and Increasing Personal Information Collection by Mobile Applications-DataSet

description: These data are required or generated by our study. Android SDK files contain android platforms and build-tools. All Info files contain all the PIC assessment results of different versions of apks by our study. API results contain APIs extracted from 125 popular code libraries with their documentations and 1,750 app snapshots. App index files contain results of our mobile app ranking algorithm which is designed to select representative (coverage-bias-avoiding) apps in each specific year. SDKs files contain all the libraries used in our study with their history versions. The other files represent the results of our manual verification of 50 randomly picked records for each type of PI and the results of our survey on PI studied by related researches.
DOI: 10.5281/zenodo.7684489
title: Compiling Chronology of Massive and Increasing Personal Information Collection by Mobile Applications-DataSet

description: These data are required or generated by our study. Android SDK files contain android platforms and build-tools. All Info files contain all the PIC assessment results of different versions of apks by our study. API results contain APIs extracted from 125 popular code libraries with their documentations and 1,750 app snapshots. App index files contain results of our mobile app ranking algorithm which is designed to select representative (coverage-bias-avoiding) apps in each specific year. SDKs files contain all the libraries used in our study with their history versions. The other files represent the results of our manual verification of 50 randomly picked records for each type of PI and the results of our survey on PI studied by related researches.
DOI: 10.4121/21930768.v1
title: Data underlying: Stacking domain morphology in epitaxial graphene on silicon carbide

description: This dataset contains stitched AC-LEEM overviews visualizing stacking domain boundaries in three different, high-quality graphene on SiC samples, grown in three different manners. The samples exhibit domain boundaries with different morphology, as explored in the corresponding paper. More details on the files can be found in the README.
DOI: 10.4121/21678938.v1
title: The time series geochemical records and paleomagnetic data from the Gantang section in the Yuanmou Basin, Southwest China

description: The time series geochemical records and paleomagnetic data from the Gantang section in the Yuanmou Basin, Southwest China
DOI: 10.4121/21678938.v2
title: The time series geochemical records and paleomagnetic data from the Gantang section in the Yuanmou Basin, Southwest China

description: The time series geochemical records and paleomagnetic data from the Gantang section in the Yuanmou Basin, Southwest China
DOI: 10.25919/s7sw-rg16
title: Two-monthly Maximum Flood Water Depth Spatial Timeseries for the MDB

description: The two-monthly spatial layers of flooding was developed to represent maximum surface water extent and water depth within each two-month period across the Murray-Darling Basin (MDB). This work is based on the multi-index method (MIM) surface water mapping and Digital Elevation Model (DEM) using the Floodwater Depth Estimation Tool (FwDET). More than thirty years of two-monthly images of surface water depth across the whole MDB have been produced were produced as part of the Murray-Darling Basin Ecosystem Function (MDB-EF) to reveal historical lateral connectivity throughout the MDB. The MDB-EF project is a collaborative research project between the Commonwealth Scientific and Industrial Research Organisation and Commonwealth agencies – the Murray-Darling Basin Authority; the Department of Agriculture, Water and the Environment and the Commonwealth Environmental Water Office. Funding was provided by the Australian Government Department of Agriculture, Water and the Environment. A newer version of the dataset is being developed in collaboration with the Murray-Darling Water and Environment Research Program (MD-WERP) project. The MD-WERP is a collaboration between Commonwealth partners (Department of Agriculture, Water and the Environment, Commonwealth Environmental Water Holder, and Murray–Darling Basin Authority) and a research consortium. Funding was provided by the Australian Government. Note: The data type for the files is uint16. The unit of the data is in millimetres. The maximum depth value is constrained to 65535 mm. The minimum water depth is 1 mm. Value 0 represent either dry land or no-data. The file format is Cloud Optimised Geotiff (COG) and the projection used is EPSG:4326.
DOI: 10.6084/m9.figshare.22256071.v1
title: Raw data antiangiogenic 2022

description: Present raw data is a result study form antiangiogenic CAM model using AgNPs-Fd synthesize using Ficus deltoidea (Silver nanoparticle)
DOI: 10.4225/08/54644d99c091a
title: Goyder Institute for Water Research downscaled climate projections for South Australia

description: Statistically downscaled simulations of daily weather variables for station networks within South Australian Natural Resource Management regions for present and future (projected) climate conditions.
DOI: 10.34740/kaggle/dsv/5143707
title: 💥📰 Daily Breaking News Twitter Dataset
DOI: 10.6084/m9.figshare.22256128
title: Tablas de estrategias de marketing según autores

description: Tablas de estrategias de marketing según autores
DOI: 10.6084/m9.figshare.22256128.v1
title: Tablas de estrategias de marketing según autores

description: Tablas de estrategias de marketing según autores
DOI: 10.5281/zenodo.7718956
title: Linkeast: A lexical database of Eastern Polynesian Languages

description: This dataset is an extraction of the data contained in <em>LinkEast</em>, a lexical database of Eastern Polynesian languages. <em>LinkEast </em>is housed at the Université de la Polynésie française, within <em>Anareo</em>, a digital infrastructure dedicated to research on and documentation of the languages of French Polynesia. This data (v1.0) is based primarily on the Linguistic Atlas of French Polynesia (Charpentier & François, 2015). References:<br> Charpentier, Jean-Michel, & François, Alexandre, 2015, <em>Atlas linguistique de la Polynésie française</em>, Berlin et Papeete, Mouton de Gruyter et Université de la Polynésie française.
DOI: 10.5281/zenodo.7718955
title: Linkeast: A lexical database of Eastern Polynesian Languages

description: This dataset is an extraction of the data contained in <em>LinkEast</em>, a lexical database of Eastern Polynesian languages. <em>LinkEast </em>is housed at the Université de la Polynésie française, within <em>Anareo</em>, a digital infrastructure dedicated to research on and documentation of the languages of French Polynesia. This data (v1.0) is based primarily on the Linguistic Atlas of French Polynesia (Charpentier & François, 2015). References:<br> Charpentier, Jean-Michel, & François, Alexandre, 2015, <em>Atlas linguistique de la Polynésie française</em>, Berlin et Papeete, Mouton de Gruyter et Université de la Polynésie française.
DOI: 10.6084/m9.figshare.22217824
title: Secretome carbon clearance assay dataset

description: 4 groups mice received intramuscular injection of secretome as much as 0.025 ml in. The first group received 0.00625 ml of secretome intramuscularly in each thigh (dose 1). The second group received 0.0125 ml of secretome intramuscularly in each thigh (dose 2). The third group received 0.025 ml of secretome intramuscularly in each thigh (dose 3). The control group received 0.025 ml of sterile water for injection on each thigh (negative control). After 3 days of treatment, all the groups received 0.1 ml (1 ml)/100 g of carbon ink suspension through the tail vein. Blood is collected at an interval of 0 and 15 min immediately after injection of carbon suspension. Measurement of carbon in the blood was determined using spectrophotometer at 675 nm
DOI: 10.6084/m9.figshare.22224742
title: miRNA profiling of MSC secretome

description: miRNA profiling data from MSC secretome using NanoString Technology
DOI: 10.5517/ccdc.csd.cc2f1xdt
title: CCDC 2236166: Experimental Crystal Structure Determination

description: Related Article: Devyani Srivastava, Om Prakash, Gabriele Kociok-Köhn, Abhinav Kumar, Abdullah Alarifi, Naaser A. Y. Abduh, Mohd Afzal, Mohd Muddassir|2023|Crystals|13|343|doi:10.3390/cryst13020343
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2f1xfv
title: CCDC 2236167: Experimental Crystal Structure Determination

description: Related Article: Devyani Srivastava, Om Prakash, Gabriele Kociok-Köhn, Abhinav Kumar, Abdullah Alarifi, Naaser A. Y. Abduh, Mohd Afzal, Mohd Muddassir|2023|Crystals|13|343|doi:10.3390/cryst13020343
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.34740/kaggle/dsv/5143757
title: 🇺🇦 Ukraine Conflict Twitter Dataset
DOI: 10.34740/kaggle/dsv/5143771
title: Sneaker 899-Classification total-50,000-Images
DOI: 10.6084/m9.figshare.19621311.v1
title: Seasonal M2 internal tides from the Luzon Strait

description: Seasonal M2 internal tides from the Luzon Strait obtained using seasonally-subsetted 25 years of satellite altimetry data from 1993 to 2017.
DOI: 10.6084/m9.figshare.19621311
title: Seasonal M2 internal tides from the Luzon Strait

description: Seasonal M2 internal tides from the Luzon Strait obtained using seasonally-subsetted 25 years of satellite altimetry data from 1993 to 2017.
DOI: 10.6084/m9.figshare.19621311.v3
title: Seasonal M2 internal tides from the Luzon Strait

description: Seasonal M2 internal tides from the Luzon Strait obtained using seasonally-subsetted 25 years of satellite altimetry data from 1993 to 2017.
DOI: 10.25582/data.2022-03.2452038/1930310
title: Data for EMSL Project 51282 from March 2022
DOI: 10.25582/data.2022-03.2452042/1930311
title: Data for EMSL Project 51282 from March 2022
DOI: 10.25582/data.2022-03.2451786/1931092
title: Data for EMSL Project 51280 from March 2022
DOI: 10.25582/data.2022-03.2452036/1932339
title: Data for EMSL Project 51282 from March 2022
DOI: 10.25582/data.2022-03.2452131/1932360
title: Data for EMSL Project 51282 from March 2022
DOI: 10.25582/data.2022-03.2452112/1932370
title: Data for EMSL Project 51282 from March 2022
DOI: 10.25582/data.2022-03.2451643/1932996
title: Data for EMSL Project 51132 from March 2022
DOI: 10.25582/data.2022-03.2451641/1933012
title: Data for EMSL Project 51132 from March 2022
DOI: 10.25582/data.2022-03.2451748/1933014
title: Data for EMSL Project 51132 from March 2022
DOI: 10.25582/data.2022-03.2452092/1933019
title: Data for EMSL Project 51132 from March 2022
DOI: 10.25582/data.2022-03.2451604/1933038
title: Data for EMSL Project 51132 from March 2022
DOI: 10.25582/data.2022-03.2451718/1933039
title: Data for EMSL Project 51132 from March 2022
DOI: 10.25582/data.2022-03.2451727/1933042
title: Data for EMSL Project 51132 from March 2022
DOI: 10.25582/data.2022-03.2451628/1933055
title: Data for EMSL Project 51132 from March 2022
DOI: 10.25582/data.2022-03.2451763/1933079
title: Data for EMSL Project 51132 from March 2022
DOI: 10.25582/data.2022-03.2451758/1933080
title: Data for EMSL Project 51132 from March 2022
DOI: 10.25582/data.2022-03.2452037/1933172
title: Data for EMSL Project 51282 from March 2022
DOI: 10.25582/data.2022-03.2452039/1933194
title: Data for EMSL Project 51282 from March 2022
DOI: 10.25582/data.2022-03.2452054/1933967
title: Data for EMSL Project 51132 from March 2022
DOI: 10.25582/data.2022-03.2452073/1933974
title: Data for EMSL Project 51132 from March 2022
DOI: 10.25582/data.2022-03.2452184/1933980
title: Data for EMSL Project 51132 from March 2022
DOI: 10.25582/data.2022-03.2451782/1934013
title: Data for EMSL Project 51132 from March 2022
DOI: 10.25582/data.2022-03.2452116/1934018
title: Data for EMSL Project 51132 from March 2022
DOI: 10.25582/data.2022-03.2452138/1934026
title: Data for EMSL Project 51132 from March 2022
DOI: 10.25582/data.2022-03.2451629/1934062
title: Data for EMSL Project 51132 from March 2022
DOI: 10.25582/data.2022-03.2452065/1934073
title: Data for EMSL Project 51132 from March 2022
DOI: 10.25582/data.2022-03.2451688/1934090
title: Data for EMSL Project 51132 from March 2022
DOI: 10.25582/data.2022-03.2452193/1934094
title: Data for EMSL Project 51132 from March 2022
DOI: 10.25582/data.2022-03.2451693/1934120
title: Data for EMSL Project 51132 from March 2022
DOI: 10.25582/data.2022-03.2451589/1934169
title: Data for EMSL Project 51132 from March 2022
DOI: 10.25582/data.2022-03.2451538/1934207
title: Data for EMSL Project 51132 from March 2022
DOI: 10.25582/data.2022-03.2452101/1934214
title: Data for EMSL Project 51132 from March 2022
DOI: 10.25582/data.2022-03.2452045/1934229
title: Data for EMSL Project 51132 from March 2022
DOI: 10.25582/data.2022-03.2451778/1934230
title: Data for EMSL Project 51132 from March 2022
DOI: 10.25582/data.2022-03.2451562/1934231
title: Data for EMSL Project 51132 from March 2022
DOI: 10.25582/data.2022-03.2451795/1934234
title: Data for EMSL Project 51132 from March 2022
DOI: 10.25582/data.2022-03.2452179/1934289
title: Data for EMSL Project 51132 from March 2022
DOI: 10.25582/data.2022-03.2452213/1934311
title: Data for EMSL Project 51132 from March 2022
DOI: 10.25582/data.2022-03.2451624/1934316
title: Data for EMSL Project 51132 from March 2022
DOI: 10.25582/data.2022-03.2451499/1934347
title: Data for EMSL Project 51132 from March 2022
DOI: 10.25582/data.2022-03.2451793/1934349
title: Data for EMSL Project 51132 from March 2022
DOI: 10.25582/data.2022-03.2451514/1934365
title: Data for EMSL Project 51132 from March 2022
DOI: 10.25582/data.2022-03.2452205/1935236
title: Data for EMSL Project 51132 from March 2022
DOI: 10.25582/data.2022-03.2451635/1935244
title: Data for EMSL Project 51132 from March 2022
DOI: 10.25582/data.2022-03.2451535/1935250
title: Data for EMSL Project 51132 from March 2022
DOI: 10.25582/data.2022-03.2452079/1935257
title: Data for EMSL Project 51132 from March 2022
DOI: 10.25582/data.2022-03.2451671/1935276
title: Data for EMSL Project 51132 from March 2022
DOI: 10.25582/data.2022-03.2451716/1935302
title: Data for EMSL Project 51132 from March 2022
DOI: 10.25582/data.2022-03.2451742/1935304
title: Data for EMSL Project 51132 from March 2022
DOI: 10.25582/data.2022-03.2451696/1935334
title: Data for EMSL Project 51132 from March 2022
DOI: 10.25582/data.2022-03.2452136/1935335
title: Data for EMSL Project 51132 from March 2022