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Fatcat Database Snapshots and Bulk Metadata Exports
by Internet Archive Web Group
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Bulk Bibliographic Metadata
by CORE.ac.uk
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Mirrored from: https://core.ac.uk/documentation/dataset CORE Dataset to Microsoft Academic Graph (MAG) mapping (80MB compressed, 173 MB in total) - 8.9M items License: Open Data Commons Attribution (ODC-By) license.
Bulk Bibliographic Metadata
by aiminer.org
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A copy of the "Open Academic Graph v2" (OAGv2) corpus published by aminer.org and Microsoft Academic Graph in early 2019. Contains roughly 90 GB (compressed) of bibliographic metadata for hundreds of millions of publications. Related publications include: Jie Tang, Jing Zhang, Limin Yao, Juanzi Li, Li Zhang, and Zhong Su. ArnetMiner: Extraction and Mining of Academic Social Networks. In Proceedings of the Fourteenth ACM SIGKDD International Conference on Knowledge Discovery and Data...
Fatcat Database Snapshots and Bulk Metadata Exports
by Internet Archive Web Group
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Academic Data and Datasets
by Rosa Jersie-Christensen
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Metaproteomic profiling of saliva in subjects with periodontitis, dental caries and orally healthy controls
Source: https://figshare.com/articles/dataset/20150722_QE5_UPLC8_RJC_COLLAB_DB_4067_01_raw/3807984/1
Academic Data and Datasets
by Atticus Stovall
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Data for: Tree height explains mortality risk during an intense drought https://rdcu.be/bU8go Tree-level Information Zone: tree ID number Zmax: tree height (m) Count: integer value (1) Yearly Pixel-based Mortality Estimates mort2009: % of “dead” pixels in 2009 mort2010: as above for 2010 mort2012: as above for 2012 mort2014: as above for 2014 mort2016: as above for 2016 Tree-level Mortality Estimates x: x coordinate (UTM Zone 11N) y: y coordinate (UTM Zone 11N) dead: 0 = Live; 1 = Dead,...
Source: https://figshare.com/articles/dataset/CA_lidar_tree_mortality/7609193/4
Academic Data and Datasets
by Daniel Fischer
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Corresponding gene expression dataset from the GEUVADIS project
Source: https://figshare.com/articles/dataset/GEUVADIS_gene_expression_values/7618538/2
Academic Data and Datasets
by Jonathan Pevsner
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1000 Genomes gVCF mapped to hs37d5 for HG02860. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
Source: https://figshare.com/articles/dataset/gVCF_HG02860/7884980/1
Academic Data and Datasets
by Nick Curtis; Kyle Niemeyer
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A data-set of partially stirred reactor states generated by the pypasr (https://github.com/kyleniemeyer/pypasr) code for GRI-Mech 3.0. Used in several works for error validation and performance testing
Source: https://figshare.com/articles/dataset/h2_pasr_data_bin/4007427/1
Academic Data and Datasets
by Jonathan Pevsner
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1000 Genomes gVCF mapped to hs37d5 for HG01362. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
Source: https://figshare.com/articles/dataset/gVCF_HG01362/7890326/1
Academic Data and Datasets
by Jonathan Pevsner
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1000 Genomes gVCF mapped to hs37d5 for NA18907. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
Source: https://figshare.com/articles/dataset/gVCF_NA18907/7891043/1
Academic Data and Datasets
by Jonathan Pevsner
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1000 Genomes gVCF mapped to hs37d5 for HG00530. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
Source: https://figshare.com/articles/dataset/gVCF_HG00530/7879991/1
Academic Data and Datasets
by Jonathan Pevsner
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1000 Genomes gVCF mapped to hs37d5 for HG03190. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
Source: https://figshare.com/articles/dataset/gVCF_HG03190/7895180/1
Academic Data and Datasets
by Jonathan Pevsner
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1000 Genomes gVCF mapped to hs37d5 for HG01746. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
Source: https://figshare.com/articles/dataset/gVCF_HG01746/7898099/1
Academic Data and Datasets
by Jonathan Pevsner
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1000 Genomes gVCF mapped to hs37d5 for HG01948. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
Source: https://figshare.com/articles/dataset/gVCF_HG01948/7910672/1
Academic Data and Datasets
by Jonathan Pevsner
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1000 Genomes gVCF mapped to hs37d5 for HG03598. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
Source: https://figshare.com/articles/dataset/gVCF_HG03598/7908563/1
Academic Data and Datasets
by Jonathan Pevsner
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1000 Genomes gVCF mapped to hs37d5 for HG03897. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
Source: https://figshare.com/articles/dataset/gVCF_HG03897/7928993/1
Academic Data and Datasets
by Jonathan Pevsner
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1000 Genomes gVCF mapped to hs37d5 for NA19472. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
Source: https://figshare.com/articles/dataset/gVCF_NA19472/7929845/1
Academic Data and Datasets
by Jonathan Pevsner
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1000 Genomes gVCF mapped to hs37d5 for HG02070. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
Source: https://figshare.com/articles/dataset/gVCF_HG02070/7925396/1
Academic Data and Datasets
by Jonathan Pevsner
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1000 Genomes gVCF mapped to hs37d5 for HG02799. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
Source: https://figshare.com/articles/dataset/gVCF_HG02799/7940798/1
Academic Data and Datasets
by Jonathan Pevsner
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1000 Genomes gVCF mapped to hs37d5 for NA21086. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
Source: https://figshare.com/articles/dataset/gVCF_NA21086/7950086/1
Academic Data and Datasets
by Jonathan Pevsner
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1000 Genomes gVCF mapped to hs37d5 for NA20289. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
Source: https://figshare.com/articles/dataset/gVCF_NA20289/7935014/1
Academic Data and Datasets
by Liang Guo
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We applied restriction site-associated DNA sequencing (RAD-Seq) to yellow perch geographic demes to develop large numbers of polymorphic genetic markers, including single nucleotide polymorphisms and simple sequence repeats, and to evaluate nucleotide diversity. A total of 258,056 contigs were assembled with the length of 605 ± 71 (mean ± SD) bp, which were longer than those just using HiSeq data. Nucleotide diversity (π) was 0.00304 with 95% confidence intervals from 0.00303 to 0.00304....
Source: https://figshare.com/articles/dataset/RADseq_of_yellow_perch_for_diversity_assess/8667815/3
Academic Data and Datasets
by João Pedro Marques; Graciela Sotelo; Juan Galindo DaSilva; Pragya Chaube; Diana Costa; Sandra Afonso; Marina Panova; Katja Nowick; Roger Butlin; Johan Hollander; Rui Macieira de Faria
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Raw transcriptome assembly of Littorina fabalis based on the sequencing reads (Illumina) from four individuals (whole body except hepatopancreas).
Source: https://figshare.com/articles/dataset/Littorina_fabalis_raw_transcriptome_assembly_based_on_data_from_four_individuals_/9273545/1
Academic Data and Datasets
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Liu, C., Comte, L., Xian, W., Chen, Y. and Olden, J. D. Current and projected future risks of freshwater fish invasions in China. Ecography. doi: 10.1111/ecog.04665 The high-resolution maps of habitat suitability for all species under current and future (2050s and 2070s) climatic scenarios. For more information see readme file (readme_habitat_suitability_maps.txt)
Source: https://figshare.com/articles/dataset/Current_and_projected_future_risks_of_freshwater_fish_invasions_in_China/9751934/1
Academic Data and Datasets
by Francisco Correa
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transcriptome denovo
Source: https://figshare.com/articles/dataset/De_novo_transcriptome_assembly/9971546/1
Academic Data and Datasets
by You, Hye Young
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Replication files for "Ex Post Lobbying" CC0 Waiver
Source: https://dataverse.harvard.edu/dataset.xhtml?persistentId=doi:10.7910/DVN/CWQYIB&version=1.0
Academic Data and Datasets
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Viral communities upstream and downstream of the River Murray Illumina MiSeq paired-end metagenomics CC0 Waiver
Source: https://dataverse.harvard.edu/dataset.xhtml?persistentId=doi:10.7910/DVN/YTZCEO&version=1.0
replication files for wang&youn-ssq CC0 Waiver
Source: https://dataverse.harvard.edu/dataset.xhtml?persistentId=doi:10.7910/DVN/Z0RLMJ&version=1.0
This is the data for my manuscript. CC0 Waiver
Source: https://dataverse.harvard.edu/dataset.xhtml?persistentId=doi:10.7910/DVN/UQHBNZ&version=2.0
Replication material for article in the title. Please read the README.html file for instruction. CC0 Waiver
Source: https://dataverse.harvard.edu/dataset.xhtml?persistentId=doi:10.7910/DVN/UFZTYU&version=1.0
Academic Data and Datasets
by peng zhan
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The data for studying the circulation dynamics and residence time of a lagoon in the Red Sea coast.
Source: https://figshare.com/articles/dataset/Data_RT_TRSP/11038790/1
Academic Data and Datasets
by Christina Cuomo
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Ustilago maydis FB1 sequence described in Kamper J et al. "Insights from the genome of the biotrophic fungal plant pathogen Ustilago maydis ". Nature 444, 97-101.
Source: https://figshare.com/articles/dataset/Ustilago_maydis_FB1_sequence/1444438/1
Textured surface model of section T3/39 to T3/41 of the T3 theropod dinosaur trackway at Münchehagen (Lower Cretaceous, Germany), preserved as natural casts
Source: https://figshare.com/articles/dataset/Surface_model_of_section_T3_39_to_T3_41_of_the_T3_theropod_dinosaur_trackway_at_M_nchehagen_Lower_Cretaceous_Germany_preserved_as_natural_casts/3027949/1
Academic Data and Datasets
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Second experimental replicate. GC-MS of the co-culture, S. cerevisiae alone, and A. malorum alone for initial putative identification of metabolites. Methanol extraction of XAD-4 beads Includes standards and samples used for EICs in paper.
Source: https://figshare.com/articles/dataset/GC-MS_Data_experimental_replicate_2_co-culture_and_individual_cultures/3124891/1
Academic Data and Datasets
by Mario Looso
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Folder with dataset analyzed via TOBIAS software and prepared for WILSON webapp (https://github.molgen.mpg.de/loosolab/wilson-apps/)
Source: https://figshare.com/articles/dataset/wilson_zip/9995732/1
Academic Data and Datasets
by Andrea Zonca
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TMT IRIS simulated observations used for testing the software pipeline
Source: https://figshare.com/articles/dataset/TMT_IRIS_test_simulations/9941939/1
Academic Data and Datasets
by Hormos Dafsari; Nur Kocaturk; Hülya-Sevcan Daimagüler; Anna Brunn; Jörg Dötsch; Joachim Weis; Martina Deckert; Sebahattin Cirak
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Additional file 1: Figure S1. Further myopathological, electron microscopical and phenotypic findings in our patient with UNC45B variant. Figure S2. Gene and isoform expression of UNC45B in various tissues and a possible disease model scheme.
Source: https://springernature.figshare.com/articles/dataset/MOESM1_of_Bi-allelic_mutations_in_uncoordinated_mutant_number-45_myosin_chaperone_B_are_a_cause_for_congenital_myopathy/11405898/1
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 2012 Tile 14
Source: https://springernature.figshare.com/articles/dataset/Landsat_based_peak_NDVI_image_Year_2012_Tile_14/7769798/2
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 2011 Tile 14
Source: https://springernature.figshare.com/articles/dataset/Landsat_based_peak_NDVI_image_Year_2011_Tile_14/7769789/2
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 2015 Tile 9
Source: https://springernature.figshare.com/articles/dataset/Landsat_based_peak_NDVI_image_Year_2015_Tile_9/7737758/2
Academic Data and Datasets
by Sebastian Nehrdich
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These are html-tables of  possible quotations/parallel passages within the etexts contained in the gretil-collection. For the code and description see: https://github.com/sebastian-nehrdich/gretil-quotations There is a file called 0_index.html which consists of a table of all html-files and their corresponding text names(which have been scraped from the GRETIL-headers and might look not very readable or complete at times). After unzipping, the files will use about 5.4GB of disk space.
Source: https://zenodo.org/record/2532723
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/2555762
Academic Data and Datasets
by Ioannis Manakos; Georgios Kordelas
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Landscape and biodiversity indicators have been identified as crucial for detecting changes in the Land Cover/Habitat map target classes and evaluating threats and intense impacts on certain areas of a site. This analysis is useful to prevent future ecosystem degradation, update the preservation strategies or take immediate mitigation actions. Regarding Lake Prespa, Landscape and biodiversity indicators were generated for 2012. The Land Cover/Habitat map and Object-ID raster files were used as...
Source: https://zenodo.org/record/3403606
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
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/3319012
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 Miguel, Edward
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This paper studies the political and social impacts of increased education by utilizing a randomized girls’ merit scholarship programme in Kenya that raised test scores and secondary schooling. Consistent with the view that education empowers the disadvantaged to challenge authority, we find that the programme reduced the acceptance of domestic violence and political authority. Young women in programme schools also increased their objective political knowledge. We find that this rejection of...
Source: https://dataverse.harvard.edu/dataset.xhtml?persistentId=doi:10.7910/DVN/81NOQY&version=1.0
Academic Data and Datasets
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Compressed iSALE model output from the "Formation of the Orientale lunar multi-ring basin" to be published in Science. CC0 Waiver
Source: https://dataverse.harvard.edu/dataset.xhtml?persistentId=doi:10.7910/DVN/BH9UXW&version=1.0
This is the code and data for replicating: Blais, André, Shane P. Singh, and Delia Dumitrescu. 2014. “Political Institutions, Perceptions of Representation, and the Turnout Decision.” In J. Thomassen (Ed.), Elections and Democracy: Representation and Accountability. Oxford: Oxford University Press, 99-112. CC0 Waiver
Source: https://dataverse.harvard.edu/dataset.xhtml?persistentId=doi:10.7910/DVN/JOR91P&version=1.0
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
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 Vilhuber, Lars
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An extract of BMI and Income questions from IHIS CC0 Waiver
Source: https://dataverse.harvard.edu/dataset.xhtml?persistentId=doi:10.7910/DVN/XRTYIC&version=1.1
This data provides the topics identified by our approach BOUN-TI, on the data collected from Twitter while the 2012 U.S.A. presidential debates were holding. The dataset also provides tf values of words in a Wikipedia snapshot, and the values required to gain idf values of words. Word frequency distribution of an interval of Twitter english public stream tweets' is provided.
Source: https://figshare.com/articles/dataset/data_tar_gz/2068665/2
Academic Data and Datasets
by Asier Erramuzpe
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Neurovault's statmaps for benchmarking
Source: https://figshare.com/articles/dataset/images_tar/3425759/1
Academic Data and Datasets
by Matthew Ezewudo
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Tools for WGS SNP analysis
Source: https://figshare.com/articles/dataset/SNPpipe_tools/3859287/1
Academic Data and Datasets
by André Kashiwabara
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This dataset was used to evaluate MYOP using 5 fold cross-validation.
Source: https://figshare.com/articles/dataset/MYOP_cross-validation_dataset/4254578/1
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 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 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
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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 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 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 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 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.
Open Access Journal Test Crawl (2018)
by Internet Archive Web Group
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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
by Japan Link Center
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Downloaded from http://japanlinkcenter.org/top/material/material_metadata.html
Bulk Bibliographic Metadata
data

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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 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
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 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