Downloaded from http://japanlinkcenter.org/top/material/material_metadata.html
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Sylvain Brohee; Amir Sonnenblick; David Venet
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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
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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
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
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.
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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
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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
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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
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
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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
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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
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Luca Comai; Kirk Amundson
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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
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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
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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
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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
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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
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angus 2019 genomes from metagenomes
Source: https://figshare.com/articles/dataset/angus_2019_genomes_from_metagenomes/8863388/1
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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
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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
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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
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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
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SXS Collaboration
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Simulation of a black-hole binary system evolved by the SpEC code .
Source: https://zenodo.org/record/3275525
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Demuynck, Thomas
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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
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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
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Antti Iivanainen; Lea Mikkola
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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
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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
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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
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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
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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
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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
ISSN-GOLD-OA provides a matching list of ISSN for Gold Open Access (OA) journals. The intention was to compile a matching table that is as complete as possible by using different publicly available sources. The data set offers a basis for various journal-related issues in bibliometric studies on Gold OA. The list is an updated version of ISSN-GOLD-OA . For a detailed description of the method, data sources used and the definition of the table fields, please refer to the original...
This item contains bulk metadata exported from https://fatcat.wiki. With the exception of the 'abstracts' file (for which no aggregate license or copyright claims can be made; downstream users are responsible for their use), all metadata here is licensed CC-0 (public domain release) and may be used for any purpose. Downstream users are strongly encouraged to provide attribution and link here to the snapshot, as well as give credit to upstream sources (including Crossref, ORCID, DOAJ, the ISSN...
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Jonathan Pevsner
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1000 Genomes gVCF mapped to hs37d5 for HG03812. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
Source: https://figshare.com/articles/dataset/gVCF_HG03812/7928066/1
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Jonathan Pevsner
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1000 Genomes gVCF mapped to hs37d5 for HG01624. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
Source: https://figshare.com/articles/dataset/gVCF_HG01624/7895774/1
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Jonathan Pevsner
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1000 Genomes gVCF mapped to hs37d5 for NA18864. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
Source: https://figshare.com/articles/dataset/gVCF_NA18864/7890737/1
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Andrew D. Richardson; David Y. Hollinger; Julie Shoemaker; Holly Hughes; Kathleen Savage; Eric A. Davidson
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Carbon dioxide (CO 2 ), methane (CH 4 ), and nitrous oxide (N 2 O) are the greenhouse gases largely responsible for anthropogenic climate change. Natural plant and microbial metabolic processes play a major role in the global atmospheric budget of each. We have been studying ecosystem-atmosphere trace gas exchange at a sub-boreal forest in the northeastern United States for over two decades. Historically our emphasis was on turbulent fluxes of CO 2 and water vapor. In 2012 we embarked on an...
Source: https://figshare.com/articles/dataset/Tower-_and_chamber-based_greenhouse_gas_flux_measurements_from_Howland_Forest_Maine_2012-2018_/7445657/1
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Jonathan Pevsner
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1000 Genomes gVCF mapped to hs37d5 for HG02286. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
Source: https://figshare.com/articles/dataset/gVCF_HG02286/7928966/1
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Jonathan Pevsner
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1000 Genomes gVCF mapped to hs37d5 for NA19475. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
Source: https://figshare.com/articles/dataset/gVCF_NA19475/7929941/1
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English - code parallel corpus from StackOverflow
Source: https://figshare.com/articles/dataset/SOParallelData_zip/7673927/1
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Jonathan Pevsner
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1000 Genomes gVCF mapped to hs37d5 for HG02554. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
Source: https://figshare.com/articles/dataset/gVCF_HG02554/7931255/1
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Hacking Materials
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Matbench v0.1 test dataset for predicting DFT PBE band gap from structure. Adapted from Materials Project database. Removed entries having a formation energy (or energy above the convex hull) more than 150meV and those containing noble gases. Retrieved April 2, 2019.
Source: https://figshare.com/articles/dataset/mp_gap/9461444/1
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SXS Collaboration
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Simulation of a black-hole binary system evolved by the SpEC code .
Source: https://zenodo.org/record/3303264
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Jonathan Pevsner
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1000 Genomes gVCF mapped to hs37d5 for HG03874. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
Source: https://figshare.com/articles/dataset/gVCF_HG03874/7928795/1
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Jonathan Pevsner
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1000 Genomes gVCF mapped to hs37d5 for NA19185. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
Source: https://figshare.com/articles/dataset/gVCF_NA19185/7927103/1
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Jonathan Pevsner
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1000 Genomes gVCF mapped to hs37d5 for NA20786. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
Source: https://figshare.com/articles/dataset/gVCF_NA20786/7944296/1
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figshare admin cellimagelibrary
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Single computed slice through a tomographic reconstruction of a protoplasmic astrocyte in a 0.5 um thick section from the hippocampus of a 1 month old male mouse, imaged with intermediate voltage electron microscopy. This reconstruction is the 14th in a series of 26 serial reconstructions through the cell soma. The complete reconstruction can be viewed under MP7503.
Source: https://cellimagelibrary.figshare.com/articles/dataset/CCDB_6727_jpg/8179529/1
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Jiapeng Qu; Fabian Ewald fassnacht; Christopher Schiller; Teja Kattenborn; Xinquan Zhao
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Landsat based peak NDVI image Year 1997 Tile 14
Source: https://springernature.figshare.com/articles/dataset/Landsat_based_peak_NDVI_image_Year_1997_Tile_14/7769753/1
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Soon-Chun Jeong; Myung-Shin Kim; Ji Hong Kim; Youn Young Hur
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Candidate SNP variants detected by analysis of genome resequencing data from 33 grape accessions
Source: https://figshare.com/articles/dataset/33Grapes_Total_SNP_final_chr06_vcf_gz/8116106/1
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Jiapeng Qu; Fabian Ewald fassnacht; Christopher Schiller; Teja Kattenborn; Xinquan Zhao
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Landsat based peak NDVI image Year 2018 Tile 13
Source: https://springernature.figshare.com/articles/dataset/Landsat_based_peak_NDVI_image_Year_2018_Tile_13/7769732/1
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Raphaël Nussbaumer; Lionel Benoit; Grégoire Mariethoz; Felix Liechti; Silke Bauer; Baptiste Schmid
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This dataset contains the interpolated values of bird density and bird flight speed (N-S and E-W) resulting from the methodology presented in [reference].The methodology is explained in less detail at rafnuss-postdoc.github.io/BMM . The resulting interpolation is a probability distribution (define the probability of each value to occurs). Only the median, quantile 10 and 90 are given in this file. The spatio-temporal grid has a resolution of 0.2° in latitude (43°-68°) and longitude...
Source: https://zenodo.org/record/3243466
This item contains snapshots of the PubMed Central OA subset file manifests, linked from https://www.ncbi.nlm.nih.gov/pmc/tools/openftlist
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Janet Loebach; Kate Tilleczek; Brent Chaisson; Brian Sharp
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The Young Lives Research Laboratory is concerned with the lives of modern youth from education to technology to mental health. Technology is ubiquitous in the day to day lives of young people in Canada but little is known about the ways in which digital media affects their mental health, especially for Indigenous youth. Research seldom engages youth to clarify and or interrogate digital media and well-being. This paper addresses the dearth of empirical work and supports the development of...
Source: https://tandf.figshare.com/articles/dataset/_i_Keyboard_warriors_i_Visualising_technology_and_well-being_i_with_for_i_and_i_by_i_indigenous_youth_through_digital_stories/11106794/1
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
OAI-PMH metadata collected from the arxiv.org endpoint, using the arXivRaw schema. Collected in two batches: up through ~2017, then up through May 22nd, 2019.
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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/3307421
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Jonathan Pevsner
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1000 Genomes gVCF mapped to hs37d5 for HG03452. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
Source: https://figshare.com/articles/dataset/gVCF_HG03452/7901339/1
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Jonathan Pevsner
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1000 Genomes gVCF mapped to hs37d5 for HG03558. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
Source: https://figshare.com/articles/dataset/gVCF_HG03558/7907651/1
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Jonathan Pevsner
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1000 Genomes gVCF mapped to hs37d5 for HG01950. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
Source: https://figshare.com/articles/dataset/gVCF_HG01950/7911317/1
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Jonathan Pevsner
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1000 Genomes gVCF mapped to hs37d5 for HG00097.
Source: https://figshare.com/articles/dataset/gVCF_HG00097/7841411/1
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Jonathan Pevsner
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1000 Genomes gVCF mapped to hs37d5 for NA18504. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
Source: https://figshare.com/articles/dataset/gVCF_NA18504/7944293/1
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Jonathan Pevsner
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1000 Genomes gVCF mapped to hs37d5 for HG02561. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
Source: https://figshare.com/articles/dataset/gVCF_HG02561/7931462/1
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figshare admin cellimagelibrary
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Single computed slice through a tomographic reconstruction of a protoplasmic astrocyte in a 0.5 um thick section from the hippocampus of a 1 month old male mouse, imaged with intermediate voltage electron microscopy. This reconstruction is the 22nd in a series of 26 serial reconstructions through the cell soma. The complete reconstruction can be viewed under MP7503.
Source: https://cellimagelibrary.figshare.com/articles/dataset/CCDB_6736_jpg/8184362/1
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Jonathan Pevsner
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1000 Genomes gVCF mapped to hs37d5 for HG00154.
Source: https://figshare.com/articles/dataset/gVCF_HG00154/7872560/1
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Peter Vogt; Kurt H. Riitters; Giovanni Caudullo; Bernd Eckhardt
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This document summarizes the design process, definitions, and algorithmic implementation conducted by the Joint Research Centre to support the development and implementation of FAO’s global forest analysis for the thematic topics Accounting and Fragmentation. The analysis scheme and data products were designed to support the indicator Forest Fragmentation in the State of the World's Forests (SOFO) report 2020. The spatial forest coverage is derived from the Copernicus Global Land Cover 2015...
Source: https://figshare.com/articles/dataset/FAO_gez19_zip/11113325/1
This item contains a complete PostgreSQL SQL database snapshot from https://fatcat.wiki, in binary 'pg_dump tar mode' format. With the exception of the 'abstracts' table (for which no aggregate license or copyright claims can be made; downstream users are responsible for their use), all metadata here is licensed CC-0 (public domain release) and may be used for any purpose. Downstream users are strongly encouraged to provide attribution and link here to the snapshot, as well as give credit to...
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Downloaded from https://doaj.org/csv and the OAI-PMH interface. File names encode the date when data was downloaded.
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David Yokum, Anita Ravishankar, Alexander Coppock
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Abstract: Police body-worn cameras (BWCs) have been widely promoted as a technological mechanism to improve policing and the perceived legitimacy of police and legal institutions, yet evidence of their effectiveness is limited. To estimate the effects of BWCs, we conducted a randomized controlled trial involving 2,224 Metropolitan Police Department officers in Washington, DC. Here we show that BWCs have very small and statistically insignificant effects on police use of force and civilian...
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Arnaud, Ophélie; Poulain, Stéphane; Kato, Sachi; Plessy, Charles
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Genome alignments for data generated in the project " Whole transcriptome analysis of thousands of FACS-sorted single cells with the single cell nanoCAGE protocol – Optimization of the protocol. " Files names indicate unique identifiers of MOIRAI workflow runs, with the following structure: library name, dot, workflow ID (OP-WORKFLOW-CAGEscan-short-reads-v2.0.), dot, timestamp. The raw (FASTQ) data of each library is also deposited in Zenodo ( 10.5281/zenodo.250156 ). Library names...
Source: https://zenodo.org/record/3340196
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Eric M. Morschhauser; Hailu You; Daqing Li; Peter Dodson
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Basal neoceratopsians are a relatively diverse group of small- to medium-sized herbivorous dinosaurs from the Early to Late Cretaceous of Asia and North America. Although known for over a century, this group has only relatively recently received intense independent study, tied to the rapid increase in known diversity since 1997. Auroraceratops rugosus is one of these recently discovered species and is one of the best-known basal neoceratopsians, being represented by over 80 specimens, and is...
Source: https://tandf.figshare.com/articles/dataset/Phylogenetic_history_of_i_Auroraceratops_rugosus_i_Ceratopsia_Ornithischia_from_the_Lower_Cretaceous_of_Gansu_Province_China/8798480/1
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Cefan Zhou; Xuehong Qian; Miao Hu; Rui Zhang; Nanxi Liu; Yuan Huang; Jing Yang; Juan Zhang; Hua Bai; Yuyan Yang; Yefu Wang; Declan Ali; Marek Michalak; Xing-Zhen Chen; Jingfeng Tang
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Macroautophagy/autophagy plays key roles in development, oncogenesis, and cardiovascular and metabolic diseases. Autophagy-specific class III phosphatidylinositol 3-kinase complex I (PtdIns3K-C1) is essential for autophagosome formation. However, the regulation of this complex formation requires further investigation. Here, we discovered that STYK1 (serine/threonine/tyrosine kinase 1), a member of the receptor tyrosine kinases (RTKs) family, is a new upstream regulator of autophagy. We...
Source: https://tandf.figshare.com/articles/dataset/STYK1_promotes_autophagy_through_enhancing_the_assembly_of_autophagy-specific_class_III_phosphatidylinositol_3-kinase_complex_I/10265156/1
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James Watson; Oscar Venter; Andrew Hansen; MC Hansen; Kevin Barnett; Linda Phillips; Patrick Jantz; Patrick Burns; Scott Aktinson; Susana Rodríguez-Buritica; Jamison Ervin; Anne Virnig; Scott Goetz; Christina Supples
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GeoTIFF representing canopy cover for the moist broadleaf biome of the humid tropics in South America. Derived from remotely sensed imagery, this layer is used as an input into the forest structural condition index
Source: https://springernature.figshare.com/articles/dataset/Canopy_Cover_-_South_America/8411858/1
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Jiapeng Qu; Fabian Ewald fassnacht; Christopher Schiller; Teja Kattenborn; Xinquan Zhao
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Landsat based peak NDVI image Year 2012 Tile 10
Source: https://springernature.figshare.com/articles/dataset/Landsat_based_peak_NDVI_image_Year_2012_Tile_10/7769879/2
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Jiapeng Qu; Fabian Ewald fassnacht; Christopher Schiller; Teja Kattenborn; Xinquan Zhao
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Landsat based peak NDVI image Year 2015 Tile 12
Source: https://springernature.figshare.com/articles/dataset/Landsat_based_peak_NDVI_image_Year_2015_Tile_12/7769633/2
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Jonathan Pevsner
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1000 Genomes gVCF mapped to hs37d5 for NA11931. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
Source: https://figshare.com/articles/dataset/gVCF_NA11931/7936667/1
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Raphael Neukom; Luis A. Barboza; Michael P. Erb; Feng Shi; Julien Emile-geay; Michael N. Evans; Jörg Franke; Darrell S. Kaufman; Lucie Lücke; Kira Rehfeld; Andrew Schurer; Feng Zhu; Stefan Brönnimann; Gregory J. Hakim; Benjamin J. Henley; Fredrik Charpentier Ljungqvist; Nicholas Mckay; Veronika Valler; Lucien von Gunten
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Input data for the reconstructions and required datasets and code to generate the figures in the paper. Proxy data used for the reconstructions: proxy_ama_2.0.0_PAGES-crit-regional+FDR.txt: PAGES2k v2.0.0 proxy records, R-FDR screened subset (See PAGES2k Consortium, 2017, Scientific Data, doi: 10.1038/sdata.2017.88). Data are tab separated, the first column is the "paleoData_TSid" to identify each record in the metadata file. First row is year CE....
Source: https://figshare.com/articles/dataset/input_data_zip/8137715/3
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Aydin Ayanzadeh; Özden Yalçın Özuysal; Devrim Pesen Okvur; Behçet Uğur Töreyin; Devrim Ünay; Sevgi Önal
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Phase contrast Microscopy
Source: https://figshare.com/articles/dataset/Phase_Contrast_Microscopy_of_cells_with_annotation/8965820/1
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Gaussian Finder's cavity dataset in CSV. This dataset describes the protein cavities output by a protein cavity detection method called Gaussian Finder. This method is described in the article available at: https://bmcbioinformatics.biomedcentral.com/articles/10.1186/s12859-017-1913-4
Source: https://figshare.com/articles/dataset/Gaussian_Finder_s_cavity_dataset_in_CSV/9916745/1
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Schmidbauer, Philipp
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Data sets generated in the study "Social calls of Myotis nattereri during swarming" CC0 Waiver
Source: https://dataverse.harvard.edu/dataset.xhtml?persistentId=doi:10.7910/DVN/AHIWQA&version=2.0
This item contains a complete PostgreSQL SQL database snapshot from https://fatcat.wiki, in binary 'pg_dump tar mode' format. With the exception of the 'abstracts' table (for which no aggregate license or copyright claims can be made; downstream users are responsible for their use), all metadata here is licensed CC-0 (public domain release) and may be used for any purpose. Downstream users are strongly encouraged to provide attribution and link here to the snapshot, as well as give credit to...
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Simon Porter; Jared Watts
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Network data for What does NZ research look like
Source: https://figshare.com/articles/dataset/grid_414055_1/10022990/1
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Jonathan Pevsner
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1000 Genomes gVCF mapped to hs37d5 for NA19467. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
Source: https://figshare.com/articles/dataset/gVCF_NA19467/7929692/1
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CLSM of the main dataset "MPIMM_054_QE_P_BP_CF" apllying FISH after AP-MALDI-MSI and after widefield fluorescence overviews were made
Source: https://figshare.com/articles/dataset/CLSM_of_FISH_sample/6887315/2
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Jonathan Pevsner
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1000 Genomes gVCF mapped to hs37d5 for HG01113. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
Source: https://figshare.com/articles/dataset/gVCF_HG01113/7883471/1
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Jonathan Pevsner
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1000 Genomes gVCF mapped to hs37d5 for HG01204. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
Source: https://figshare.com/articles/dataset/gVCF_HG01204/7885034/1
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Jonathan Pevsner
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1000 Genomes gVCF mapped to hs37d5 for HG03792. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
Source: https://figshare.com/articles/dataset/gVCF_HG03792/7927244/1
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Assembled transcriptome, and predicted non-redundant proteins it encodes, for the choanoflagellate Choanoeca flexa.
Source: https://figshare.com/articles/dataset/Choanoeca_flexa_nonredundant_predicted_proteins_fasta/8216291/2
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High-density EEG data recorded during tandem standing and tandem walking at 0.22 m/s. Data includes selected neural independent components, along with EMG from 8 lower leg muscles (4 on each leg). Subjects were exposed to 20 degree visual field rotations in virtual reality (SVZ and WVZ events) and brief mediolateral pull perturbations (Stand_Pull and Walk_Pull events). Each subject has approximately 150 of each event type for both physical conditions (walking and standing). Both EEG.data and...
Source: https://figshare.com/articles/dataset/EEG_connectivity_data_Walk_Pull_/8165747/1
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Jonathan Pevsner
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1000 Genomes gVCF mapped to hs37d5 for HG02793. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
Source: https://figshare.com/articles/dataset/gVCF_HG02793/7940702/1
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Niklas König Ignasiak; Deepak K Ravi; Stefan Orter; Seyyed Hamed Hosseini Nasab; William R Taylor; Navrag Singh
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Gait variability is a sensitive metric for assessing functional deficits in individuals with mobility impairments. To correctly represent the temporal evolution of gait kinematics, nonlinear measures require extended and uninterrupted time series. The full-body gait patterns of twenty healthy subjects were captured during five walking trials (at least 5 minutes) on a treadmill under different weight perturbation conditions with both weight reductions (of 40 and 20% using a harness labelled...
Source: https://figshare.com/articles/dataset/Does_variability_of_footfall_kinematics_correlate_with_dynamic_stability_of_the_centre_of_mass_during_walking_/8153819/3
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Jonathan Pevsner
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1000 Genomes gVCF mapped to hs37d5 for HG02661. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
Source: https://figshare.com/articles/dataset/gVCF_HG02661/7934975/1
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Jonathan Pevsner
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1000 Genomes gVCF mapped to hs37d5 for NA19663. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
Source: https://figshare.com/articles/dataset/gVCF_NA19663/7930124/1
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Jinshi Jian; Ryan Stewart; Xuan Du
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Here, we compiled data from a set of soil health measurements collected across 41 countries around the world, named SoilHealthDB, which includes 5,241 data entries from 281 published studies. The SoilHealthDB includes 42 soil health indicators and 45 background indicators that describe factors such as climate, elevation, and soil type. A primary goal of SoilHealthDB is to enable the research community to perform comprehensive analyses, e.g., meta-analyses, of soil health changes related to...
Source: https://figshare.com/articles/dataset/SoilHealthDB/8292176/8
