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Bulk Bibliographic Metadata
by DIrectory of Open Access Journals
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Downloaded from https://doaj.org/csv and the OAI-PMH interface. File names encode the date when data was downloaded.
Bulk Bibliographic Metadata
by Internet Archive Web Group
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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...
The Dataset Collection
by 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
The Dataset Collection
by Jonathan Pevsner
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1000 Genomes gVCF mapped to hs37d5 for HG00154.
Source: https://figshare.com/articles/dataset/gVCF_HG00154/7872560/1
The Dataset Collection
by 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
The Dataset Collection
by 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
The Dataset Collection
by 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
The Dataset Collection
by 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
The Dataset Collection
by Abel Gomes
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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
The Dataset Collection
by 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
Fatcat Database Snapshots and Bulk Metadata Exports
by Internet Archive Web Group
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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...
Fatcat Database Snapshots and Bulk Metadata Exports
by Internet Archive Web Group
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The Dataset Collection
by 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
The Dataset Collection
by 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
The Dataset Collection
by Benedikt Geier
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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
The Dataset Collection
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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
The Dataset Collection
by 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
The Dataset Collection
by 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
The Dataset Collection
by Steven Peterson
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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
The Dataset Collection
by 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
The Dataset Collection
by 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
The Dataset Collection
by 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
The Dataset Collection
by 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
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
The Dataset Collection
by 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
The Dataset Collection
by 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
The Dataset Collection
by 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
The Dataset Collection
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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
The Dataset Collection
by 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
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
The Dataset Collection
by Jiapeng Qu; Fabian Ewald fassnacht; Christopher Schiller; Teja Kattenborn; Xinquan Zhao
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Landsat based peak NDVI image Year 1993 Tile 11
Source: https://springernature.figshare.com/articles/dataset/Landsat_based_peak_NDVI_image_Year_1993_Tile_11/7769492/1
The Dataset Collection
by Contreras, Rommel
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Este dataset contiene los archivos necesarios para replicar el programa de Visualización de Datos elaborado en lenguaje Processing. Pero se proporciona la información necesaria del proyecto global. Que consiste de un sistema de digitalización, almacenamiento y visualización de datos proveniente de un geófono tipo SM-6. Se estudió e implementó el diseño del preamplificador presentado por Havskov & Alguacil (2006), y se agregó un sistema de acondicionamiento y filtrado de los datos...
Source: https://dataverse.harvard.edu/dataset.xhtml?persistentId=doi:10.7910/DVN/1JXSYT&version=1.0
Bulk Bibliographic Metadata
by Internet Archive Web Group
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This item contains some bulk research affiliation datasets from Internet Archive cataloging efforts. These are mostly strings included in research papers that indicate the institutional affiliations of specific authors (eg, with a home department, university, or company) at the time of publication. These might be useful datasets for efforts to build complete indices of research organizations, or to test normalization code that maps raw strings to organization identifiers. Attribution and links...
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. ...
The Dataset Collection
by Jiapeng Qu; Fabian Ewald fassnacht; Christopher Schiller; Teja Kattenborn; Xinquan Zhao
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Landsat NDVI difference 1990 2002 Tile 7
Source: https://springernature.figshare.com/articles/dataset/Landsat_NDVI_difference_1990_2002_Tile_7/7767659/1
The Dataset Collection
by Hameeuw, Hendrik
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Early Neolithic body sherd (RAMS00419, KER85/58/k.3) excavated in a mixed context containing ceramics and lithic tools (http://doi.org/10.5281/zenodo.58685) at the site Kerkhove-Kouter, West-Flanders, Belgium.  Whitish fabric tempered with burnt bone. The object forms part of the collections of the Regionaal Archeologisch Museum a/d Schelde, Belgium (RAMS). The original piece was handed over to UGent, Belgium, to perform destructive archaeometrical analyses....
Source: https://zenodo.org/record/2555406
The Dataset Collection
by SXS Collaboration
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Simulation of a black-hole binary system evolved by the SpEC code .
Source: https://zenodo.org/record/3275054
The Dataset Collection
by Jiapeng Qu; Fabian Ewald fassnacht; Christopher Schiller; Teja Kattenborn; Xinquan Zhao
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Landsat based peak NDVI image Year 1996 Tile 12
Source: https://springernature.figshare.com/articles/dataset/Landsat_based_peak_NDVI_image_Year_1996_Tile_12/7769579/1
The Dataset Collection
by Jiapeng Qu; Fabian Ewald fassnacht; Christopher Schiller; Teja Kattenborn; Xinquan Zhao
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Landsat based peak NDVI image Year 2016 Tile 14
Source: https://springernature.figshare.com/articles/dataset/Landsat_based_peak_NDVI_image_Year_2016_Tile_14/7769807/2
The Dataset Collection
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_14/7769750/2
Fatcat Database Snapshots and Bulk Metadata Exports
by Internet Archive Web Group
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The Dataset Collection
by Simon Rasmussen; Jakob Nybo Nissen
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Part four of VAMB binning on Almeida et al benchmark dataset
Source: https://figshare.com/articles/dataset/Microbial_binning_of_Almeida_et_al_dataset_using_VAMB_p4/11335472/1
The Dataset Collection
by Jonathan Pevsner
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1000 Genomes gVCF mapped to hs37d5 for HG01171. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
Source: https://figshare.com/articles/dataset/gVCF_HG01171/7884881/1
The Dataset Collection
by Elisha Roberson
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This is an annotated list of potential CasX (Cas12e) editing sites based on Ensembl Release 95 for Danio rerio . The sites are annotated with location contig, start, end, target sequence, PAM sequence, uniqueness among editing sites, and overlaps with known exons.
Source: https://figshare.com/articles/dataset/Danio_rerio_CasX_sites/7853219/1
The Dataset Collection
by Xiaoyue Yang; Zefu Wang; Lei Zhang; Guoqian Hao; Yongzhi Yang
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This collection of files stems from the annotation (gene model predicted, repetitive elements, non-coding genes) of the Carpinus fangiana genome.
Source: https://figshare.com/articles/dataset/Supplemental_material_for_the_Carpinus_fangiana_genome/8549204/1
The Dataset Collection
by Jonathan Pevsner
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1000 Genomes gVCF mapped to hs37d5 for HG03730. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
Source: https://figshare.com/articles/dataset/gVCF_HG03730/7923617/1
The Dataset Collection
by Guohua Shen
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Data for the example code of icnn_tf.
Source: https://figshare.com/articles/dataset/icnn_tf_example_data/9178091/4
The Dataset Collection
by Sebastian Micluța-Câmpeanu
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This is the database containing the data to reproduce the plots in the DS19 presentation of the author. This is just a test version.
Source: https://figshare.com/articles/dataset/DS19_test_database/8078699/1
The Dataset Collection
by saman farahmand; Todd Riley; Kourosh Zarringhalam
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the annotated ChIP network ans well as annotated TRRUST database which are annotated by modEx system.
Source: https://figshare.com/articles/dataset/ChIPfilter-1K-950_rels_result_csv/8251502/1
Includes the Supplemental Appendix and Stata Do File and Data to replicate the main results of the paper. CC0 Waiver
Source: https://dataverse.harvard.edu/dataset.xhtml?persistentId=doi:10.7910/DVN/ATWXPN&version=1.0
The Dataset Collection
by Interactions, International
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Since the 9/11 terrorist attacks, research on terrorism has grown exponentially. Data limitations, however, have made temporal generalization difficult. Most terrorism datasets extend back only to the 1970s, which inhibits the ability to quantitatively examine earlier waves of terrorism. To address this limitation, this article presents a dataset of over 250 terrorist organizations formed between 1860 and 1969. These data, which have global coverage, include country-year information on group...
Source: https://dataverse.harvard.edu/dataset.xhtml?persistentId=doi:10.7910/DVN/WFBJC9&version=2.0
The Dataset Collection
by Geonhwa You
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De facto population data in Seoul, South Korea in 2018.
Source: https://figshare.com/articles/dataset/De_facto_population_data_in_2018/10272551/2
The Dataset Collection
by Jonathan Pevsner
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1000 Genomes gVCF mapped to hs37d5 for HG02536. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
Source: https://figshare.com/articles/dataset/gVCF_HG02536/7931063/1
The Dataset Collection
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For the 114'872 distinct inorganic compounds we predicted 8 thermodynamic, mechanical, and electronic properties, using the only crystalline structures as an input.
Source: https://figshare.com/articles/dataset/Quantitative_trends_in_8_properties_of_inorganic_compounds_via_machine_learning/7692125/1
The Dataset Collection
by Jonathan Pevsner
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1000 Genomes gVCF mapped to hs37d5 for NA19737. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
Source: https://figshare.com/articles/dataset/gVCF_NA19737/7931006/1
The Dataset Collection
by Miquel Duran-Frigola
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Input data for the SysMalVac project.
Source: https://figshare.com/articles/dataset/data/8107895/1
The Dataset Collection
by Chaoxiang Ren
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A part of transcriptome sequencing data of safflower flowers cultivated under different light intensities.
Source: https://figshare.com/articles/dataset/HS3_2_2_fq_gz/8281109/1
The Dataset Collection
by Jonathan Pevsner
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1000 Genomes gVCF mapped to hs37d5 for NA20884. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
Source: https://figshare.com/articles/dataset/gVCF_NA20884/7949462/1
The Dataset Collection
by ChanSu Park
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Practice building additional datasets using the datasets of sklearn
Source: https://figshare.com/articles/dataset/lfw_funneled_tar/7699448/2
The Dataset Collection
by Jonathan Pevsner
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1000 Genomes gVCF mapped to hs37d5 for HG02006. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
Source: https://figshare.com/articles/dataset/gVCF_HG02006/7914449/1
The Dataset Collection
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Lacertidae phylotranscriptomic alignments: misgen_10 Lacertidae morphological matrix for phylogenetic analysis: lacertidae_morph_matrix_20_02_reduced.nex Complete concatenated matrix: lacertidae_v7 files, containing: - A zipped file with the entire, concatenated alignment in Fasta format - a text file with partition information. 12S, 16S, cytb, nd4, cmos are the genes traditionally used in lacertid phylogenetics; L1-L346 are the anchored derived from anchored phylogenomics; the remaining loci...
Source: https://figshare.com/articles/dataset/Lacertidae_phylogenomic_alignments_and_morphological_matrix/8150690/1
The Dataset Collection
by cj lortie
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A full scrape of Web of Science examining eco-evo publications indexed from 1990 to 2019. Query from this resource was completed August 2019.
Source: https://figshare.com/articles/dataset/Eco_evo_papers/9843929/2
The Dataset Collection
by Fatuma Mzingirwa; Fidalis D. N. Mujibi; Francesca Stomeo; Judith Nyunja; Boaz Kaunda-Arara
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This is a Plink binary files consisting of .ped and .fam. The SNPs were generated at Diversity Array Technology (DArT). Also uploaded is the original data from DArT. The data supports conclusions in the article "Genetic connectivity of the sky emperor, Lethrinus mahsena populations across a gradient of exploitation rates in coastal Kenya".
Source: https://figshare.com/articles/dataset/Genetic_connectivity_of_the_sky_emperor_Lethrinus_mahsena_populations_across_a_gradient_of_exploitation_rates_in_coastal_Kenya_/9755963/2
Bulk Bibliographic Metadata
by DIrectory of Open Access Journals
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From: https://doaj.org/public-data-dump
Bulk Bibliographic Metadata
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This is the 2019 "baseline" PubMed/MEDLINE bibliographic metadata corpus, originally published in December 2018. Downloaded from https://www.nlm.nih.gov/databases/download/pubmed_medline.html
The Dataset Collection
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
The Dataset Collection
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
The Dataset Collection
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
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.
The Dataset Collection
by Stephan Rasp
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Sample data
Source: https://figshare.com/articles/dataset/WB_Sample_Data/11370675/2
The Dataset Collection
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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
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
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
The Dataset Collection
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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
The Dataset Collection
by Rahul Rao Madarapu
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Bike ride data of a month
Source: https://figshare.com/articles/dataset/two_json/10277954/1
The Dataset Collection
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
The Dataset Collection
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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
The Dataset Collection
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
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
The Dataset Collection
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
The Dataset Collection
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
The Dataset Collection
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
The Dataset Collection
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
The Dataset Collection
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
The Dataset Collection
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
The Dataset Collection
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
The Dataset Collection
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
The Dataset Collection
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
The Dataset Collection
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
The Dataset Collection
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
The Dataset Collection
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
The Dataset Collection
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
The Dataset Collection
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
The Dataset Collection
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
The Dataset Collection
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
The Dataset Collection
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
The Dataset Collection
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
The Dataset Collection
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