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Open Access Journal Test Crawl (2018)
by Internet Archive Web Group
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Academic Data and Datasets
by Antonis Michalas
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Text files of different size and structure. More precisely, we selected random data from the Gutenberg dataset. This artefact contains five different datasets with random text files (i.e. e-books in .txt format) from the Gutenberg database. The datasets that we selected ranged from text files with a total size of 184MB to a set of text files with a total size of 1.7GB. More precisely, the following datasets can be found in this package: 1. 184MB 2. 357MB 3. 670MB 4. 1GB 5. 1.7GB In our case, we...
Source: https://zenodo.org/record/3360392
Replication Data for: "Nonparametric Welfare and Demand Analysis with Unobserved Individual Heterogeneity" CC0 Waiver
Source: https://dataverse.harvard.edu/dataset.xhtml?persistentId=doi:10.7910/DVN/SDUGGM&version=1.2
Academic Data and Datasets
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The dataset contains genotype (tped and tfam files) and phenotype data GWAS analyses on canine hip dysplasia. See README file for more information.
Source: https://figshare.com/articles/dataset/Genetic_dissection_of_canine_hip_dysplasia_phenotypes_and_osteoarthritis_reveals_three_novel_loci/10096595/1
Academic Data and Datasets
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Filtered genotype calls from high coverage sequencing data of Alca Tarma (LOP-868), IVP101, PL4, and three selected dihaploids
Source: https://figshare.com/articles/dataset/Dataset_S3_tsv_Genomic_outcomes_of_haploid_induction_crosses_in_potato/10052357/1
The data and programs replicate tables and figures from "From Hyperinflation to Stable Prices: Argentina's Evidence on Menu Cost Models", by Alvarez, Beraja, Gonzalez-Rozada, and Neumeyer. Please see the Readme file for additional details. CC0 Waiver
Source: https://dataverse.harvard.edu/dataset.xhtml?persistentId=doi:10.7910/DVN/C8ZOAS&version=2.2
Academic Data and Datasets
by Raymond Haggerty
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Contains all the input and output files used to generate figure 4 IN_[stress].mat are the input files for each stress (glucose, H2O2, KCl) OUT_[stress].mat are the output files run through MISC corresponding to each of the input files.
Source: https://figshare.com/articles/dataset/Figure_4_Reproduction_Files/11383662/1
Academic Data and Datasets
by emmanuel levy; Benjamin Dubreuil
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Supplementary Dataset from the work "Rules of amino acid composition by which disordered regions adjust to high expression". This table contains amino-acid level information of human proteins.
Source: https://figshare.com/articles/dataset/Dataset_2_2_Human_amino-acids_raw_data/8058854/1
Academic Data and Datasets
by tw70455@gmail.com tw70455@gmail.com
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For the paper 'Spontaneous thought-related network connectivity predicts sertraline effect on major depressive disorder'
Source: https://figshare.com/articles/dataset/sertraline_effect_on_major_depressive_disorder/8135552/1
Academic Data and Datasets
by Katarina Kleinova
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The CT data of Zootoca vivipara NHMW 32438-1 from Čerňanský and Syromyatnikova Plos One. It can by open by winrar and volume graphics.
Source: https://figshare.com/articles/dataset/Cernansky_and_Syromyatnikova_Zootoca_vivipara_NHMW_32438-1/8396822/1
Academic Data and Datasets
by Michael Lee
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angus 2019 genomes from metagenomes
Source: https://figshare.com/articles/dataset/angus_2019_genomes_from_metagenomes/8863388/1
Academic Data and Datasets
by Hyung Rae Cho; Saehoon Kim
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This file contains the EEG raw data of 14 participants in the laboratory experiment and of 89 participants in the fieldwork in Nangok-dong. As stated in the manuscript, this EEG dataset was analysed to investigated valence values that show positive/negative emotions. This data was analysed by MATLAB and EEGLAB. The EEG raw data of 10 participants in the fieldwork were removed in the final analysis due to the issue of poor connection between laptop and EEG device.
Source: https://figshare.com/articles/dataset/EEG_raw_data_zip/9958946/1
Academic Data and Datasets
by Bolivar Samuel Sosa Madrid; agustin blasco; noelia ibañez escriche
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Genomic Data from divergently selected lines for intramuscular fat in rabbits. This database was used for the analyses of the article titled: "Genomic regions influencing intramuscular fat in divergently selected rabbit lines." Animal Genetics - Journal, accepted in 2019.
Source: https://figshare.com/articles/dataset/Genomic_Data_from_divergently_selected_lines_for_intramuscular_fat_in_rabbits/9934058/2
Academic Data and Datasets
by Matt Giesler; SXS Collaboration
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Simulation of a black-hole binary system evolved by the SpEC code .
Source: https://zenodo.org/record/2639767
Academic Data and Datasets
by OPEGIEKA
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Data from Sentinel-1 SLC product was used to determine the extent of the urbanised area. Such a solution is necessary in the case of rapidly developing cities, as in the case of the capital of India - New Dehli. Links to the presentation: http://fabspace.pl/wp-content/uploads/2017/11/Urban-area-on-S-1.pdf  
Source: https://zenodo.org/record/2582988
Academic Data and Datasets
by SXS Collaboration
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Simulation of a black-hole binary system evolved by the SpEC code .
Source: https://zenodo.org/record/3275525
Academic Data and Datasets
by Jonathan Pevsner
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1000 Genomes gVCF mapped to hs37d5 for NA18951. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
Source: https://figshare.com/articles/dataset/gVCF_NA18951/7892684/1
Academic Data and Datasets
by Jonathan Pevsner
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1000 Genomes gVCF mapped to hs37d5 for HG03095. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
Source: https://figshare.com/articles/dataset/gVCF_HG03095/7890959/1
Academic Data and Datasets
by Jonathan Pevsner
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1000 Genomes gVCF mapped to hs37d5 for HG01682. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
Source: https://figshare.com/articles/dataset/gVCF_HG01682/7897922/1
This dataset contains data files and identifiers for original data sources for 39 gene expression datasets from over 7,000 individuals with estrogen receptor positive (ER-positive) Breast Cancer (BC). Background The related study developed a novel in silico approach to assess activation of different signalling pathways. The phosphatidylinositol 3-kinase (PI3K)/AKT/mTOR signalling pathway mediates key cellular functions, including growth, proliferation and survival and is frequently involved in...
Source: https://springernature.figshare.com/articles/dataset/Gene_expression_data_sources_for_in_silico_approach_to_assessing_activation_of_AKT_mTOR_signalling_pathway_in_ER-positive_early_Breast_Cancer/7461776/1
Academic Data and Datasets
by Jiapeng Qu; Fabian Ewald fassnacht; Christopher Schiller; Teja Kattenborn; Xinquan Zhao
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Landsat based peak NDVI image Year 1993 Tile 14
Source: https://springernature.figshare.com/articles/dataset/Landsat_based_peak_NDVI_image_Year_1993_Tile_14/7769750/1
Academic Data and Datasets
by Jonathan Pevsner
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1000 Genomes gVCF mapped to hs37d5 for NA19463. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
Source: https://figshare.com/articles/dataset/gVCF_NA19463/7929641/1
Academic Data and Datasets
by Jonathan Pevsner
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1000 Genomes gVCF mapped to hs37d5 for HG02142. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
Source: https://figshare.com/articles/dataset/gVCF_HG02142/7927550/1
Academic Data and Datasets
by Jonathan Pevsner
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1000 Genomes gVCF mapped to hs37d5 for NA19429. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
Source: https://figshare.com/articles/dataset/gVCF_NA19429/7929002/1
Academic Data and Datasets
by Jonathan Pevsner
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1000 Genomes gVCF mapped to hs37d5 for HG03977. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
Source: https://figshare.com/articles/dataset/gVCF_HG03977/7929782/1
Academic Data and Datasets
by Jonathan Pevsner
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1000 Genomes gVCF mapped to hs37d5 for HG03926. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
Source: https://figshare.com/articles/dataset/gVCF_HG03926/7929389/1
Academic Data and Datasets
by Jonathan Pevsner
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1000 Genomes gVCF mapped to hs37d5 for NA20344. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
Source: https://figshare.com/articles/dataset/gVCF_NA20344/7936628/1
Bulk Bibliographic Metadata
by EZB
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See README for details. Scraped from: http://ezb.uni-regensburg.de/ezeit/services/collections.phtml?bibid=AAAAA&colors=1〈=en http://ezb.uni-regensburg.de/ezeit/services/xmloutput.phtml?bibid=AAAAA&colors=1〈=de#6.2
Bulk Bibliographic Metadata
by Japan Link Center
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Downloaded from http://japanlinkcenter.org/top/material/material_metadata.html
Bulk Bibliographic Metadata
by Internet Archive Web Group
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This dump includes all tables (including oauth authentication tables which could be a privacy, but not security, concern). At this time only IA staff have accounts, so the snapshot, which is intended mostly for disaster recovery, is still public.
Bulk Bibliographic Metadata
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This is the 2020 "baseline" PubMed/MEDLINE bibliographic metadata corpus, originally published in December 2019. Downloaded from https://www.nlm.nih.gov/databases/download/pubmed_medline.html
Bulk Bibliographic Metadata
by Crossref
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This file is a snapshot dump of the Crossref DOI metadata API, containing entries for over 107 million DOIs. This was generated by running the scripts at: https://github.com/greenelab/crossref (git commit: 768a49ba1d8ba1971f00471950514716a9f699c8) The script started on 2019-09-09 and completed on 2019-10-06. Format is xz-compressed JSON (one JSON object per line).
UNPAYWALL-PDF-CRAWL-2019-04
by Internet Archive Web Group
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Fatcat Database Snapshots and Bulk Metadata Exports
by Internet Archive Web Group
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Fatcat Database Snapshots and Bulk Metadata Exports
by Internet Archive Web Group
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Fatcat Database Snapshots and Bulk Metadata Exports
by Internet Archive Web Group
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See README.md
Bulk Bibliographic Metadata
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This item contains a set of "Keeper's Reports" summarizing journal content preservation coverage from major archival services and networks (Portico, LOCKSS, CLOCKSS).
The data are packaged together into network common data form (netCDF) files. Three separate files are available, with data provided separately for each season: (1) best estimates of the generalized extreme value (GEV) distribution coefficients as well as bootstrap standard errors, (2) 10-, 20-, 50-, and 100-year return values (with bootstrap standard errors) for 1955, 1965, 1975, 1985, 1995, 2005, and 2015, and (3) smoothed bootstrap estimates (250 total) for each GEV coefficient (these are...
Source: https://dataverse.harvard.edu/dataset.xhtml?persistentId=doi:10.7910/DVN/LULNUQ&version=3.0
Academic Data and Datasets
by Stephens, Ian
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uv (visibility) continuum and spectral line data for Per-emb-20 (Per20, L1455 IRS4, L1455-IRS4) CC0 Waiver
Source: https://dataverse.harvard.edu/dataset.xhtml?persistentId=doi:10.7910/DVN/X9YP3I&version=1.0
Academic Data and Datasets
by Matthew Hiatt
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Data used to generate figures in "Geometry and topology of estuary and braided river channel networks automatically extracted from topographic data"
Source: https://figshare.com/articles/dataset/Exampled_Input_Files_for_LowPath/10324529/1
Academic Data and Datasets
by Scientific Data; David Carr; Konstantinos Repanas; Aileen Sheehy; Paola Quattroni; Paul Stokes
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Join representatives from the top funders of open data for ' Putting our money where our mouth is: How funders are backing up data policy with practical support' Featuring: Maximising the value of research data - Current priorities for Wellcome - David Carr, Wellcome Trust FAIR and open data at the European Commission- Konstantinos Repanas, European Commission Enabling a national environment for improved data sharing - Initiatives from the HRB- Aileen Sheehy, Irish Health Research Board...
Source: https://figshare.com/articles/dataset/Putting_our_money_where_our_mouth_is_How_funders_are_backing_up_data_policy_with_practical_support_-_SciData19_Funder_Talks/10318649/1
Academic Data and Datasets
by Martin Dorber; Koen Kuipers; Francesca Verones
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LUCM map generated in "Dorber, M.; Kuipers, K.; Verones, F., Global characterization factors for terrestrial biodiversity impacts of future land inundation in Life Cycle Assessment. Science of The Total Environment 2019. (https://doi.org/10.1016/j.scitotenv.2019.134582)" to calculate Area (Ai,j) and area shares (pi,j). Values for land use types: 1= Natural habitat; 2= Managed forest; 3 Pasture; 4 Agriculture; 5= Urban; 210 = Water
Source: https://figshare.com/articles/dataset/LUCM_Map_Ratser_File/11106575/1
Academic Data and Datasets
by Steven Rubinyi
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I've included an ESRI ArcMap document, the accompanying ESRI Geodatabase, as well as the toolkit and code for the models used in the analysis.
Source: https://figshare.com/articles/dataset/Map_Document_Geodatabase_and_Code/11444808/2
Academic Data and Datasets
by Foucart, Francois; Williamson, Andrew; Kidder, Larry; Haas, Roland; Hinderer, Tanja; Hemberger, Dan; Duez, Matthew; Scheel, Mark; Pfeiffer, Harald; Buonanno, Alessandra; Boyle, Michael
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Simulation of a black-hole neutron-star binary system evolved by the SpEC code .
Source: https://zenodo.org/record/3337268
Academic Data and Datasets
by SXS Collaboration
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Simulation of a black-hole binary system evolved by the SpEC code .
Source: https://zenodo.org/record/3322275
Academic Data and Datasets
by Gary Tse; Christien Ka Hou Li; Sharen Lee; Rachel Wing Chuen Lai; Chengye Yin; Keith Leung; Andrew Li
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Automated analysis of ECGs taken from patients with heart failure of different aetiologies
Source: https://zenodo.org/record/3471486
Academic Data and Datasets
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Pangenome analysis Limnohabitans MAGs and reference genomes as conducted with Anvi'o v2.3.0. One pangenome analysis was conducted with only the MAGs (folder panG-LIM-MI), another one with both MAGs and reference genomes (folder panG-LIM-ALL).
Source: https://figshare.com/articles/dataset/Anvi_o_pangenome_analysis_of_Limnohabitans_MAGs_and_genomes/7547159/1
Academic Data and Datasets
by Chi Chen; Weike Ye; Yunxing Zuo; Shyue Ping Ong
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This file contains the graph representation of structures in the Materials Project (www.materialsproject.org) and target properties, including formation energy per atom, band gap, and for a subset of 5830 structures, the shear moduli G_{VRH} and bulk moduli K_{VRH}. This data is part of the our paper "Graph Networks as a Universal Machine Learning Framework for Molecules and Crystals". Change log: v3. For the graph dictionaries, we modify the "node" key to "atom"...
Source: https://figshare.com/articles/dataset/Graphs_of_materials_project/7451351/3
Academic Data and Datasets
by Jonathan Pevsner
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1000 Genomes gVCF mapped to hs37d5 for HG01256. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
Source: https://figshare.com/articles/dataset/gVCF_HG01256/7885169/1
Academic Data and Datasets
by Jonathan Pevsner
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1000 Genomes gVCF mapped to hs37d5 for HG01670. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
Source: https://figshare.com/articles/dataset/gVCF_HG01670/7897691/1
Academic Data and Datasets
by Jonathan Pevsner
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1000 Genomes gVCF mapped to hs37d5 for HG01747. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
Source: https://figshare.com/articles/dataset/gVCF_HG01747/7898108/1
Academic Data and Datasets
by Jonathan Pevsner
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1000 Genomes gVCF mapped to hs37d5 for HG01797. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
Source: https://figshare.com/articles/dataset/gVCF_HG01797/7901240/1
Academic Data and Datasets
by Sami Koho
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A sample of pollen, imaged with a Nikon A1 confocal microscope, with excitation wavelength 488 nm, 40x/1.2 water immersion objective and GaAsP detector. Due to custom intermediate optics on the illumination/detection path, the objective was underfilled, to produce an effective NA of approximately 0.5-0.6. Image size is 512x512x181 and voxel size 78x78x250 nm (x,y,z).
Source: https://figshare.com/articles/dataset/Pollen_stack/8159165/1
Academic Data and Datasets
by Renan Vieira
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Replication Package of the paper "From Reports to Bug-Fix Commits: A 10 Years Dataset of Bug-Fixing Activity from 55 Apache's Open Source Projects" ABSTRACT: Bugs appear in almost any software development. Solving all or at least a large part of them requires a great deal of time, effort, and budget. Software projects typically use issue tracking systems as a way to report and monitor bug-fixing tasks. In recent years, several researchers have been conducting bug tracking analysis to...
Source: https://figshare.com/articles/dataset/Replication_Package_-_PROMISE_19/8852084/4
Academic Data and Datasets
by Bushra Zafar; Nouman Ali
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The SIRI-WHU dataset comprises of 2400 images organized into 12 categories. Dataset is uploaded in parts. Complete dataset can be obtained by combining SIRI_WHU1 and SIRI_WHU2 respectively. Zhao B, Zhong Y, Xia GS, Zhang L. Dirichlet-derived multiple topic scene classification model for high spatial resolution remote sensing imagery. IEEE Transactions on Geoscience and Remote Sensing. 2016;54(4):2108{2123.
Source: https://figshare.com/articles/dataset/SIRI_WHU_Dataset/8796980/2
Academic Data and Datasets
by Jianjiang Xu
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targeted region sequencing data
Source: https://figshare.com/articles/dataset/TRS/9632867/2
Academic Data and Datasets
by Jiyuan An
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Gastroesophageal reflux GWAS identifies risk loci that also associate with subsequent severe esophageal diseases
Source: https://figshare.com/articles/dataset/GERD_GWAS_summary/8986589/1
Academic Data and Datasets
by Line Le Goff; Hugues Chaté; Guy Theraulaz
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Total time spent previously in the neighbourhood of the ant column1 : id of the experience column2 : time (s) column3 : total time spent walking column4 : total time spent stopping column5 : total time spent stopping over the total time
Source: https://figshare.com/articles/dataset/Estimation_of_the_pheromone_concentrations/9981773/1
Academic Data and Datasets
by Jiapeng Qu; Fabian Ewald fassnacht; Christopher Schiller; Teja Kattenborn; Xinquan Zhao
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Landsat sign tau values 2000 2018 Tile 2
Source: https://springernature.figshare.com/articles/dataset/Landsat_sign_tau_values_2000_2018_Tile_2/7767872/1
Academic Data and Datasets
by Jiapeng Qu; Fabian Ewald fassnacht; Christopher Schiller; Teja Kattenborn; Xinquan Zhao
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Landsat based peak NDVI image Year 2006 Tile 12
Source: https://springernature.figshare.com/articles/dataset/Landsat_based_peak_NDVI_image_Year_2006_Tile_12/7769609/1
Academic Data and Datasets
by Jiapeng Qu; Fabian Ewald fassnacht; Christopher Schiller; Teja Kattenborn; Xinquan Zhao
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Landsat based peak NDVI image Year 2003 Tile 10
Source: https://springernature.figshare.com/articles/dataset/Landsat_based_peak_NDVI_image_Year_2003_Tile_10/7769846/1
Academic Data and Datasets
by Benjamin Judkewitz; Markus Schuelke; Mykola Kadobianskyi; Lisanne Schulze
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IGV viewer-compatible 25 bp sliding window RNA-seq coverage tracks file for adult RNA-seq library.
Source: https://springernature.figshare.com/articles/dataset/RNA-seq_coverage_IGV_track_adult_fish/8003696/1
Academic Data and Datasets
by Jackelyn Melissa Kembro; Diego Guzmán; Jorge Martin Caliva; Rocio Alcala; Raul Hector Marin
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Partial Mechanical Restraint was performed on juvenile Japanese quail (40 days of age). Test consisted in restricting the movement of the animal between two walls of a melamine box of 20 x 10 cm (height per width, respectively) with the characteristic that the front wall was made of glass, and the back wall was adjustable to induce immobility in such a way that the animal cannot open the wings, but can move the head and legs. The experimenters retreated out of the birds' sight, and the test was...
Source: https://springernature.figshare.com/articles/dataset/Partial_Mechanical_Restraint_video_files_of_juvenile_Japanese_quail_second_half_/7901846/1
Academic Data and Datasets
by Matteo Fasiolo; Raphaël Nedellec; Yannig Goude; Simon N. Wood
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In the last two decades the growth of computational resources has made it possible to handle Generalized Additive Models (GAMs) that formerly were too costly for serious applications. However, the growth in model complexity has not been matched by improved visualisations for model development and results presentation. Motivated by an industrial application in electricity load forecasting, we identify the areas where the lack of modern visualisation tools for GAMs is particularly severe, and we...
Source: https://tandf.figshare.com/articles/dataset/Scalable_visualisation_methods_for_modern_Generalized_Additive_Models/8266658/1
This dataset contains protostome peptide sequences that have been used to test the validity of deuterostome specific orthologous groups. BLAST was used to find potential homologous protostome sequences that could invalidate the specificity of the deuterostome orthogroups in question.
Source: https://zenodo.org/record/2650166
Bulk Bibliographic Metadata
by Allen Institute for Artificial Intelligence
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This is a backup of the "Open Academic Search" corpus, published by Semantic Scholar / Allen Institute for AI. For more info see http://labs.semanticscholar.org/corpus/. In particular, note the terms and conditions, and the request: We request that any published research that makes use of this data cites the following paper: Waleed Ammar et al. 2018. Construction of the Literature Graph in Semantic Scholar. NAACL. ...
Bulk Bibliographic Metadata
by Impactstory
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A mirror of the Unpaywall (aka oaDOI.org) metadata corpus, primarily consisting of public open access flags for a large number of Crossref-registered DOIs (identifiers representing published journal articles and other works). For more information see: http://unpaywall.org/products/snapshot
Bulk Bibliographic Metadata
by Library Genesis
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Snapshot as of 2019-04-15, contains SQL dumps for multiple databases: Complete Library Genesis Comic book database Fiction database 'Compact' Library Genesis database Scientific magazines SQL dumps generated by MySQL/MariaDB database. *** THIS ITEM DOES NOT CONTAIN ANY BOOKS *** Upstream does not provide checksums and all checksums should be taken with some doubt. Databases were archived by the upstream with RAR archiver, file names has been changed to include creation date.
Bulk Bibliographic Metadata
by EuropePMC
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Data mirrored from https://europepmc.org/downloads Contains a mapping between PubMed IDs (PMID), PubMedCentral IDs (PMCID), and DOI numbers, for over 29 million works.
Dioxin response elements were computationally identified and matrix similarity scores estimated as previously described (PMIDs: 15328365, 21762485, and 26582802) CC0 Waiver
Source: https://dataverse.harvard.edu/dataset.xhtml?persistentId=doi:10.7910/DVN/JASCVZ&version=1.0
Academic Data and Datasets
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In this study, Beijing, the capital of China, is selected as the study area. Hourly mean concentrations of six regulatory air pollutants including O3 (μg/m3), SO2 (μg/m3), NO2 (μg/m3), PM2.5 (μg/m3), PM10 (μg/m3), and CO (mg/m3) were collected from 35 air quality monitoring stations labeled by 1 to 35 from 01/01/2017 to 05/30/2018. The data was provided by the Ministry of Environmental Protection (MEP) of China. Hourly averaged meteorological data in the same period were first accessed...
Source: https://dataverse.harvard.edu/dataset.xhtml?persistentId=doi:10.7910/DVN/USXCAK&version=1.0
Academic Data and Datasets
by Rahul Rao Madarapu
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Bike ride data of a month
Source: https://figshare.com/articles/dataset/two_json/10277954/1
Academic Data and Datasets
by Han, Xueyuan
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Preprocessed edgelist data of ta1-fivedirections-e3-official. CC0 Waiver
Source: https://dataverse.harvard.edu/dataset.xhtml?persistentId=doi:10.7910/DVN/NVQFY0&version=1.0
Academic Data and Datasets
by Stephan Rasp
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Sample data
Source: https://figshare.com/articles/dataset/WB_Sample_Data/11370675/2
Academic Data and Datasets
by Martin Jinye Zhang
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Toy data for the diversity score analysis in Tabula Muris Senis
Source: https://figshare.com/articles/dataset/Diversity_score_toy_data/11340128/1
Academic Data and Datasets
by SXS Collaboration
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Simulation of a black-hole binary system evolved by the SpEC code .
Source: https://zenodo.org/record/3319012
Academic Data and Datasets
by Tony Chu; Kidder, Larry; Pfeiffer, Harald; Scheel, Mark; Boyle, Michael; Hemberger, Dan; Lovelace, Geoffrey; Szilagyi, Bela
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Simulation of a black-hole binary system evolved by the SpEC code .
Source: https://zenodo.org/record/3274549
Academic Data and Datasets
by SXS Collaboration
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Simulation of a black-hole binary system evolved by the SpEC code .
Source: https://zenodo.org/record/3273341
Academic Data and Datasets
by Jonathan Blackman; SXS Collaboration
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Simulation of a black-hole binary system evolved by the SpEC code .
Source: https://zenodo.org/record/3272877
Academic Data and Datasets
by SXS Collaboration
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Simulation of a black-hole binary system evolved by the SpEC code .
Source: https://zenodo.org/record/3307711
Academic Data and Datasets
by Shunliu Zhao; Matthew G. Russell; Amir Hakami; Shannon L. Capps; Matthew D. Turner; Daven K. Henze; Peter B. Percell; Jaroslav Resler; Huizhong Shen; Armistead G. Russell; Athanasios Nenes; Amanda J. Pappin; Sergey L. Napelenok; Jesse O. Bash; Kathleen M. Fahey; Gregory R. Carmichael; Charles O. Stanier; Tianfeng Chai
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The data set that is used for testing the adjoint model.
Source: https://zenodo.org/record/3473444
Academic Data and Datasets
by Kevin Barkett; SXS Collaboration
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Simulation of a black-hole binary system evolved by the SpEC code .
Source: https://zenodo.org/record/3303728
Academic Data and Datasets
by Michael Lee
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https://astrobiomike.github.io/amplicon/dada2_workflow_ex
Source: https://figshare.com/articles/dataset/dada2_amplicon_ex_workflow_tar_gz/6225761/3
Academic Data and Datasets
by Andrea Capiluppi
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These are the raw java classes of the projects parsed off SourceForge. The projects are categorised by application domain
Source: https://figshare.com/articles/dataset/raw_data_Java_source_code_for_MSR_data_track_2019/7673264/1
Academic Data and Datasets
by Jonathan Pevsner
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1000 Genomes gVCF mapped to hs37d5 for HG02095. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
Source: https://figshare.com/articles/dataset/gVCF_HG02095/7927067/1
Academic Data and Datasets
by Jonathan Pevsner
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1000 Genomes gVCF mapped to hs37d5 for NA19359. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
Source: https://figshare.com/articles/dataset/gVCF_NA19359/7928666/1
Academic Data and Datasets
by Jonathan Pevsner
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1000 Genomes gVCF mapped to hs37d5 for NA19795. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
Source: https://figshare.com/articles/dataset/gVCF_NA19795/7932278/1
Academic Data and Datasets
by Jonathan Pevsner
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1000 Genomes gVCF mapped to hs37d5 for NA21144. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
Source: https://figshare.com/articles/dataset/gVCF_NA21144/7951910/1
Academic Data and Datasets
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Data files for four species. Each species has 9 data files (3 niche model approaches X 3 RCPs). Each individual file has lat/lon gridded projection output for 5 future time periods during the 21st century, for each of 18 Earth system climate models. This is provided for both a probability of occurrence based niche model and a delta biomass approach (separate files for each). NOTE: this data set pertains to a manuscript that is presently in review (as of June 2019). Contact...
Source: https://figshare.com/articles/dataset/Projection_uncertainty_ensemble_members_Morley_et_al_2019/8256815/1
Academic Data and Datasets
by Johannes Abeler
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Merged data set of all raw data of the meta study
Source: https://figshare.com/articles/dataset/truth_telling_meta_study_merged_data_csv/8850767/1
Optotrak recordings of Fitts task paradigm as presented in Valk et al. (2019) 'During rhythmic pointing, joint-angles are temporary linked in different synergies with similar relative joint-angle coupling across task constraints'
Source: https://figshare.com/articles/dataset/Dataset_During_rhythmic_pointing_joint-angles_are_temporary_linked_in_different_synergies_with_similar_relative_joint-angle_coupling_across_task_constraints_/8280893/1
Academic Data and Datasets
by Ben Dichter; Edward F Chang
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The enclosed data is collected using a high-density 256-channel electrocorticography array implanted in a human patient during treatment for epilepsy. The subjects are reading aloud consonant-vowel syllables from a list. The data was collected by Dr. Edward Chang at the University of California, San Francisco, and curated by Ben Dichter. Data is organized by subject ID, and each file is a continuous recording session in Neurodata Without Borders: Neurophysiology (NWB:N) 2.0 format. Voltage...
Source: https://figshare.com/articles/dataset/EC9_B46_nwb/9631880/1
Academic Data and Datasets
by Nadja Grammes
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PLSDB files from 2019.06.05
Source: https://figshare.com/articles/dataset/PLSDB_2019_06_05/9959750/1
Academic Data and Datasets
by Sanjna Banerjee; Shrey Grover; Suhas Ganesh; Devarajan Sridharan
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Supplemental data and raw data sources for Banerjee, Grover, Ganesh and Sridharan, J. Neurophys. (2019)
Source: https://figshare.com/articles/dataset/Supplemental_Data_Banerjee_Grover_Ganesh_and_Sridharan_J_Neurophys_2019_/9751766/1
Academic Data and Datasets
by Mario Looso
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Output folder of TOBIAS software (https://github.com/loosolab/TOBIAS/), applied to Hendrikson et al. 2017 dataset
Source: https://figshare.com/articles/dataset/bias_correction_zip/9975926/1
Academic Data and Datasets
by Tannaz Pak; Nathaly Lopes Archilha; Iara Frangiotti Mantovani; Anderson Camargo Moreira; Ian B. Butler
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Segmented oil phase for image: WI-Filtered Segmentation performed using Watershed segmentation in Avizo. Image Dimension: 1024×1024×845 Image Type: 8 bit
Source: https://springernature.figshare.com/articles/dataset/WI-Segmented-Oil/6959327/1
Academic Data and Datasets
by Jiapeng Qu; Fabian Ewald fassnacht; Christopher Schiller; Teja Kattenborn; Xinquan Zhao
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Landsat NDVI difference 1990 2018 Tile 6
Source: https://springernature.figshare.com/articles/dataset/Landsat_NDVI_difference_1990_2018_Tile_6/7767695/1
Academic Data and Datasets
by Tony Alfredo Stabile; Claudia Mascandola; Marco Massa; Sara Amoroso; Deborah Di Naccio; Salomon Hailemikael; Lucia Luzi; Daniela Famiani; Fabrizio Cara; Giovanna Cultrera; Gaetano Riccio; Paola Bordoni; Augusto Bucci; Alessia Mercuri; Giuliano Milana; Marta Pischiutta; Luciana Cantore; Giuseppe Di Giulio; Maurizio Vassallo; Rocco Cogliano; Antonio Fodarella; Stefania Pucillo; Maria D'Amico; Simona Carannante; Chiara Felicetta; Gianlorenzo Franceschina; Giovanni Lanzano; Sara Lovati; Francesca...
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Seismic traces in binary MiniSeed format recorded by station MZ27. The daily records are separated in folders representing the channels: EHE.D, EHN.D, EHZ.D for the velocimetric data and HNE.D, HNN.D and HNZ.D for the accelerometric data. Both velocimetric and accelerometric data are available from October 10, 2016 to November 22, 2016.
Source: https://springernature.figshare.com/articles/dataset/Seismic_traces_recorded_by_station_MZ27/7803164/1
Academic Data and Datasets
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Last of four zipfiles providing all data and Python code necessary to replicate any of the 13 development potential indexes (DPIs) described within Oakleaf et al. (2019), “Mapping global development potential for renewable energy, fossil fuels, mining and agriculture sectors”. A README.pdf guides users on setting up environment necessary to use data and run Python code. To run Python code with accompanying spatial data, 64 GBs of disk space is required. Additionally ArcPY, a python module...
Source: https://springernature.figshare.com/articles/dataset/Spatial_Data_and_Python_Code_for_13_Development_Potential_Indices_part_04_/7890935/1
Academic Data and Datasets
by Dalberg
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The State of Aadhaar survey is the largest primary dataset collected on digital identity, globally. The dataset contains; 1. Household and member-level data collected for the in-depth and pulse survey 2. R codes used for analysis and visualisations 3. Additional spatial and meta data required for analysis and visuals The data, and all materials, are shared under Creative Commons Attribution 4.0 International license (CC-BY 4.0). You are free to: Share — copy and redistribute the material in...
Source: https://dataverse.harvard.edu/dataset.xhtml?persistentId=doi:10.7910/DVN/M9RWZN&version=1.1