1
1.0
Dec 27, 2019
12/19
Dec 27, 2019
by
Steven Rubinyi
data
eye 1
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I've included an ESRI ArcMap document, the accompanying ESRI Geodatabase, as well as the toolkit and code for the models used in the analysis.
Source: https://figshare.com/articles/dataset/Map_Document_Geodatabase_and_Code/11444808/2
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.
This item contains a set of "Keeper's Reports" summarizing journal content preservation coverage from major archival services and networks (Portico, LOCKSS, CLOCKSS).
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1.0
Dec 19, 2019
12/19
Dec 19, 2019
by
Antti Iivanainen; Lea Mikkola
data
eye 1
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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
1
1.0
Dec 19, 2019
12/19
Dec 19, 2019
by
Hormos Dafsari; Nur Kocaturk; Hülya-Sevcan Daimagüler; Anna Brunn; Jörg Dötsch; Joachim Weis; Martina Deckert; Sebahattin Cirak
data
eye 1
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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
1
1.0
Dec 19, 2019
12/19
Dec 19, 2019
by
Hyung Rae Cho; Saehoon Kim
data
eye 1
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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
1
1.0
Dec 17, 2019
12/19
Dec 17, 2019
by
Raymond Haggerty
data
eye 1
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comment 0
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
2
2.0
Dec 16, 2019
12/19
Dec 16, 2019
by
Stephan Rasp
data
eye 2
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comment 0
Sample data
Source: https://figshare.com/articles/dataset/WB_Sample_Data/11370675/2
2
2.0
Dec 11, 2019
12/19
Dec 11, 2019
by
Baranga, Thomas
data
eye 2
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comment 0
The data and programs replicate tables and figures from "The Return to Protectionism", by Fajgelbaum, Goldberg, Kennedy, and Khandelwal. Please see the Readme file for additional details. CC0 Waiver
Source: https://dataverse.harvard.edu/dataset.xhtml?persistentId=doi:10.7910/DVN/KSOVSE&version=1.1
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1.0
Dec 7, 2019
12/19
Dec 7, 2019
by
Martin Jinye Zhang
data
eye 1
favorite 0
comment 0
Toy data for the diversity score analysis in Tabula Muris Senis
Source: https://figshare.com/articles/dataset/Diversity_score_toy_data/11340128/1
1
1.0
Dec 6, 2019
12/19
Dec 6, 2019
by
Simon Rasmussen; Jakob Nybo Nissen
data
eye 1
favorite 0
comment 0
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
14
14
Dec 3, 2019
12/19
Dec 3, 2019
by
Dalberg
data
eye 14
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comment 0
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
1
1.0
Nov 27, 2019
11/19
Nov 27, 2019
by
Interactions, International
data
eye 1
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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
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1.0
Nov 26, 2019
11/19
Nov 26, 2019
by
Jackelyn Melissa Kembro; Diego Guzmán; Jorge Martin Caliva; Rocio Alcala; Raul Hector Marin
data
eye 1
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Partial Mechanical Restraint was performed on juvenile Japanese quail (40 days of age). Test consisted in restricting the movement of the animal between two walls of a melamine box of 20 x 10 cm (height per width, respectively) with the characteristic that the front wall was made of glass, and the back wall was adjustable to induce immobility in such a way that the animal cannot open the wings, but can move the head and legs. The experimenters retreated out of the birds' sight, and the test was...
Source: https://springernature.figshare.com/articles/dataset/Partial_Mechanical_Restraint_video_files_of_juvenile_Japanese_quail_second_half_/7901846/1
2
2.0
Nov 25, 2019
11/19
Nov 25, 2019
by
Jinshi Jian; Ryan Stewart; Xuan Du
data
eye 2
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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
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1.0
Nov 25, 2019
11/19
Nov 25, 2019
by
Peter Vogt; Kurt H. Riitters; Giovanni Caudullo; Bernd Eckhardt
data
eye 1
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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
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4.0
Nov 25, 2019
11/19
Nov 25, 2019
by
Janet Loebach; Kate Tilleczek; Brent Chaisson; Brian Sharp
data
eye 4
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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
1
1.0
Nov 25, 2019
11/19
Nov 25, 2019
by
Martin Dorber; Koen Kuipers; Francesca Verones
data
eye 1
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LUCM map generated in "Dorber, M.; Kuipers, K.; Verones, F., Global characterization factors for terrestrial biodiversity impacts of future land inundation in Life Cycle Assessment. Science of The Total Environment 2019. (https://doi.org/10.1016/j.scitotenv.2019.134582)" to calculate Area (Ai,j) and area shares (pi,j). Values for land use types: 1= Natural habitat; 2= Managed forest; 3 Pasture; 4 Agriculture; 5= Urban; 210 = Water
Source: https://figshare.com/articles/dataset/LUCM_Map_Ratser_File/11106575/1
1
1.0
Nov 24, 2019
11/19
Nov 24, 2019
by
peng zhan
data
eye 1
favorite 0
comment 0
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
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
1
1.0
Nov 21, 2019
11/19
Nov 21, 2019
by
Demuynck, Thomas
data
eye 1
favorite 0
comment 0
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
1
1.0
Nov 21, 2019
11/19
Nov 21, 2019
by
MacKenzie, Scott
data
eye 1
favorite 0
comment 0
With the growth of Latino and Asian-American populations, candidates frequently must appeal to diverse electorates. Strategies for doing so include emphasizing candidates’ racial/ethnic identity and securing endorsements from racial/ethnic groups. While many scholars focus on candidates’ racial/ethnic attributes, ethnic group endorsements are understudied. Whether such endorsements induce voters to choose ideologically-similar candidates (spatial voting), or choose based on race/ethnicity...
Source: https://dataverse.harvard.edu/dataset.xhtml?persistentId=doi:10.7910/DVN/XYUWYJ&version=1.1
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1.0
Nov 19, 2019
11/19
Nov 19, 2019
by
Stephens, Ian
data
eye 1
favorite 0
comment 0
uv (visibility) continuum and spectral line data for Per-emb-20 (Per20, L1455 IRS4, L1455-IRS4) CC0 Waiver
Source: https://dataverse.harvard.edu/dataset.xhtml?persistentId=doi:10.7910/DVN/X9YP3I&version=1.0
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1.0
Nov 19, 2019
11/19
Nov 19, 2019
by
Stephens, Ian
data
eye 1
favorite 0
comment 0
uv (visibility) continuum and spectral line data for Per-emb-4 (Per4) CC0 Waiver
Source: https://dataverse.harvard.edu/dataset.xhtml?persistentId=doi:10.7910/DVN/QLVGPG&version=1.0
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1.0
Nov 18, 2019
11/19
Nov 18, 2019
by
Matthew Hiatt
data
eye 1
favorite 0
comment 0
Data used to generate figures in "Geometry and topology of estuary and braided river channel networks automatically extracted from topographic data"
Source: https://figshare.com/articles/dataset/Exampled_Input_Files_for_LowPath/10324529/1
2
2.0
Nov 18, 2019
11/19
Nov 18, 2019
by
Scientific Data; David Carr; Konstantinos Repanas; Aileen Sheehy; Paola Quattroni; Paul Stokes
data
eye 2
favorite 0
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Join representatives from the top funders of open data for ' Putting our money where our mouth is: How funders are backing up data policy with practical support' Featuring: Maximising the value of research data - Current priorities for Wellcome - David Carr, Wellcome Trust FAIR and open data at the European Commission- Konstantinos Repanas, European Commission Enabling a national environment for improved data sharing - Initiatives from the HRB- Aileen Sheehy, Irish Health Research Board...
Source: https://figshare.com/articles/dataset/Putting_our_money_where_our_mouth_is_How_funders_are_backing_up_data_policy_with_practical_support_-_SciData19_Funder_Talks/10318649/1
1
1.0
Nov 13, 2019
11/19
Nov 13, 2019
by
Benedikt Geier
data
eye 1
favorite 0
comment 0
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
1
1.0
Nov 8, 2019
11/19
Nov 8, 2019
by
Rahul Rao Madarapu
data
eye 1
favorite 0
comment 0
Bike ride data of a month
Source: https://figshare.com/articles/dataset/two_json/10277954/1
1
1.0
Nov 8, 2019
11/19
Nov 8, 2019
by
Geonhwa You
data
eye 1
favorite 0
comment 0
De facto population data in Seoul, South Korea in 2018.
Source: https://figshare.com/articles/dataset/De_facto_population_data_in_2018/10272551/2
1
1.0
Nov 7, 2019
11/19
Nov 7, 2019
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
data
eye 1
favorite 0
comment 0
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
1
1.0
Nov 5, 2019
11/19
Nov 5, 2019
by
Mario Looso
data
eye 1
favorite 0
comment 0
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
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1.0
Nov 5, 2019
11/19
Nov 5, 2019
by
Mario Looso
data
eye 1
favorite 0
comment 0
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
Bulk Bibliographic Metadata
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26
Nov 1, 2019
11/19
Nov 1, 2019
by
Allen Institute for Artificial Intelligence
data
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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. ...
1
1.0
Oct 31, 2019
10/19
Oct 31, 2019
by
Head, Keith
data
eye 1
favorite 0
comment 0
Replication data for: "Geography, Ties, and Knowledge Flows: Evidence from Citations in Mathematics" CC0 Waiver
Source: https://dataverse.harvard.edu/dataset.xhtml?persistentId=doi:10.7910/DVN/W4B8MB&version=1.1
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22
Oct 29, 2019
10/19
Oct 29, 2019
by
Simon Porter; Jared Watts
data
eye 22
favorite 0
comment 0
Network data for What does NZ research look like
Source: https://figshare.com/articles/dataset/grid_414055_1/10022990/1
1
1.0
Oct 25, 2019
10/19
Oct 25, 2019
by
Luca Comai; Kirk Amundson
data
eye 1
favorite 0
comment 0
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
1
1.0
Oct 24, 2019
10/19
Oct 24, 2019
by
Joan M. Walker; Ronel Namde
data
eye 1
favorite 0
comment 0
A wealth of period literature from as early as 1856 through the 1920s promoted the toning of salted paper prints with platinum to achieve certain aesthetic effects and improve silver image permanence. A variety of toning bath compositions were proposed to achieve a range of image tones. Additionally, other platinum and matte silver photographic processes, such as kallitypes, silver-platinum prints (e.g., “Satista”), and silver-intensified platinum prints, were popular during the salted...
Source: https://tandf.figshare.com/articles/dataset/The_History_and_Chemistry_of_Platinum-toned_Salted_Paper_Prints/10033598/1
1
1.0
Oct 23, 2019
10/19
Oct 23, 2019
by
Atticus Stovall
data
eye 1
favorite 0
comment 0
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
1
1.0
Oct 21, 2019
10/19
Oct 21, 2019
by
Line Le Goff; Hugues Chaté; Guy Theraulaz
data
eye 1
favorite 0
comment 0
Total time spent previously in the neighbourhood of the ant column1 : id of the experience column2 : time (s) column3 : total time spent walking column4 : total time spent stopping column5 : total time spent stopping over the total time
Source: https://figshare.com/articles/dataset/Estimation_of_the_pheromone_concentrations/9981773/1
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5.0
Oct 21, 2019
10/19
Oct 21, 2019
by
Benjamin Arnold Krekeler Hartz
data
eye 5
favorite 0
comment 0
Radiation: Interface for Matlab Spectroscopy Calculations (RadISpeC) is a program that use HITRAN/HITEMP data to generate Line-by-Line (LBL) spectra at a wanted spectral resolution and environment. These data can be used with Discrete Transfer Methods (DTM), Ray Tracing (RT) etc. solvers to estimate high precision radiation in heated flow problems. It was created as a part of the article "Experimental and theoretical evaluation of spectral radiative transfer in high-pressure flames"...
Source: https://figshare.com/articles/dataset/RadISpeC_program_code_m_files_and_GUI_for_Matlab_IDE_/6988997/4
1
1.0
Oct 16, 2019
10/19
Oct 16, 2019
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
data
eye 1
favorite 0
comment 0
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
1
1.0
Oct 11, 2019
10/19
Oct 11, 2019
by
Francisco Correa
data
eye 1
favorite 0
comment 0
transcriptome denovo
Source: https://figshare.com/articles/dataset/De_novo_transcriptome_assembly/9971546/1
1
1.0
Oct 9, 2019
10/19
Oct 9, 2019
by
Nadja Grammes
data
eye 1
favorite 0
comment 0
PLSDB files from 2019.06.05
Source: https://figshare.com/articles/dataset/PLSDB_2019_06_05/9959750/1
1
1.0
Oct 4, 2019
10/19
Oct 4, 2019
by
Andrea Zonca
data
eye 1
favorite 0
comment 0
TMT IRIS simulated observations used for testing the software pipeline
Source: https://figshare.com/articles/dataset/TMT_IRIS_test_simulations/9941939/1
1
1.0
Oct 4, 2019
10/19
Oct 4, 2019
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
data
eye 1
favorite 0
comment 0
The data set that is used for testing the adjoint model.
Source: https://zenodo.org/record/3473444
1
1.0
Oct 3, 2019
10/19
Oct 3, 2019
by
Bolivar Samuel Sosa Madrid; agustin blasco; noelia ibañez escriche
data
eye 1
favorite 0
comment 0
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
Downloaded from http://japanlinkcenter.org/top/material/material_metadata.html
67,577
68K
Oct 1, 2019
10/19
Oct 1, 2019
by
Internet Archive Web Group
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...
412,975
413K
Oct 1, 2019
10/19
Oct 1, 2019
by
Internet Archive Web Group
1
1.0
Sep 28, 2019
09/19
Sep 28, 2019
by
Abel Gomes
data
eye 1
favorite 0
comment 0
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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17
Sep 20, 2019
09/19
Sep 20, 2019
by
King5 News
movies
eye 17
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comment 0
This is a TV news segment from a Seattle local news station (King5). In the segment, AI2 researcher Lucy Wang describes the new project https://supp.ai. This video also captured via wayback: http://web.archive.org/web/20191113000446/https://video.king5.com/assets/KING/videos/b88026f5-d59c-45b4-b6f3-0f4b7787f05f/b88026f5-d59c-45b4-b6f3-0f4b7787f05f_1.ts Replay of original online news segment (note that video replay is not working): ...
1
1.0
Sep 19, 2019
09/19
Sep 19, 2019
by
Renan Vieira
data
eye 1
favorite 0
comment 0
Replication Package of the paper "From Reports to Bug-Fix Commits: A 10 Years Dataset of Bug-Fixing Activity from 55 Apache's Open Source Projects" ABSTRACT: Bugs appear in almost any software development. Solving all or at least a large part of them requires a great deal of time, effort, and budget. Software projects typically use issue tracking systems as a way to report and monitor bug-fixing tasks. In recent years, several researchers have been conducting bug tracking analysis to...
Source: https://figshare.com/articles/dataset/Replication_Package_-_PROMISE_19/8852084/4
1
1.0
Sep 19, 2019
09/19
Sep 19, 2019
by
Xiaoyue Yang; Zefu Wang; Lei Zhang; Guoqian Hao; Yongzhi Yang
data
eye 1
favorite 0
comment 0
This collection of files stems from the annotation (gene model predicted, annotation for repetitive elements and non-coding genes, nucleotide sequences for coding and non-coding genes, protein sequences for coding genes) of the Carpinus fangiana genome.
Source: https://figshare.com/articles/dataset/Supplemental_material_for_the_Carpinus_fangiana_genome/8549204/2
1
1.0
Sep 18, 2019
09/19
Sep 18, 2019
by
Fatuma Mzingirwa; Fidalis D. N. Mujibi; Francesca Stomeo; Judith Nyunja; Boaz Kaunda-Arara
data
eye 1
favorite 0
comment 0
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
1
1.0
Sep 17, 2019
09/19
Sep 17, 2019
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...
data
eye 1
favorite 0
comment 0
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
1
1.0
Sep 15, 2019
09/19
Sep 15, 2019
by
cj lortie
data
eye 1
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comment 0
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
1
1.0
Sep 10, 2019
09/19
Sep 10, 2019
by
Ioannis Manakos; Georgios Kordelas
data
eye 1
favorite 0
comment 0
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
This file is a snapshot dump of the Crossref DOI metadata API, containing entries for over 107 million DOIs. This was generated by running the scripts at: https://github.com/greenelab/crossref (git commit: 768a49ba1d8ba1971f00471950514716a9f699c8) The script started on 2019-09-09 and completed on 2019-10-06. Format is xz-compressed JSON (one JSON object per line).
1
1.0
Aug 30, 2019
08/19
Aug 30, 2019
by
Julian Olden
data
eye 1
favorite 0
comment 0
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
1
1.0
Aug 30, 2019
08/19
Aug 30, 2019
by
Sanjna Banerjee; Shrey Grover; Suhas Ganesh; Devarajan Sridharan
data
eye 1
favorite 0
comment 0
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
1
1.0
Aug 22, 2019
08/19
Aug 22, 2019
by
Jiyuan An
data
eye 1
favorite 0
comment 0
Gastroesophageal reflux GWAS identifies risk loci that also associate with subsequent severe esophageal diseases
Source: https://figshare.com/articles/dataset/GERD_GWAS_summary/8986589/1
4
4.0
Aug 18, 2019
08/19
Aug 18, 2019
by
Internet Archive Web Group
texts
eye 4
favorite 0
comment 0
1
1.0
Aug 15, 2019
08/19
Aug 15, 2019
by
Jianjiang Xu
data
eye 1
favorite 0
comment 0
targeted region sequencing data
Source: https://figshare.com/articles/dataset/TRS/9632867/2
1
1.0
Aug 15, 2019
08/19
Aug 15, 2019
by
Ben Dichter; Edward F Chang
data
eye 1
favorite 0
comment 0
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
0
0.0
Aug 15, 2019
08/19
Aug 15, 2019
by
Xu,Huiyan
data
eye 0
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comment 0
The data are for the manuscript submitted to Journal of Geophysical Research-Atmospheres on 15th, August, 2019 by Huiyan Xu.
Source: https://zenodo.org/record/4059012
1
1.0
Aug 12, 2019
08/19
Aug 12, 2019
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
data
eye 1
favorite 0
comment 0
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
1
1.0
Aug 12, 2019
08/19
Aug 12, 2019
by
Benjamin Judkewitz; Markus Schuelke; Mykola Kadobianskyi; Lisanne Schulze
data
eye 1
favorite 0
comment 0
IGV viewer-compatible 25 bp sliding window RNA-seq coverage tracks file for adult RNA-seq library.
Source: https://springernature.figshare.com/articles/dataset/RNA-seq_coverage_IGV_track_adult_fish/8003696/1
1
1.0
Aug 12, 2019
08/19
Aug 12, 2019
by
Benjamin Judkewitz; Markus Schuelke; Mykola Kadobianskyi; Lisanne Schulze
data
eye 1
favorite 0
comment 0
FASTA sequence file with the Danionella translucida (DT) assembly scaffolds.
Source: https://springernature.figshare.com/articles/dataset/Genome_assembly_file/8003693/1
1
1.0
Aug 10, 2019
08/19
Aug 10, 2019
by
Hacking Materials
data
eye 1
favorite 0
comment 0
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
9
9.0
Aug 5, 2019
08/19
Aug 5, 2019
by
Antonis Michalas
data
eye 9
favorite 0
comment 0
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
1
1.0
Aug 2, 2019
08/19
Aug 2, 2019
by
Guohua Shen
data
eye 1
favorite 0
comment 0
Data for the example code of icnn_tf.
Source: https://figshare.com/articles/dataset/icnn_tf_example_data/9178091/4
1
1.0
Jul 30, 2019
07/19
Jul 30, 2019
by
Aydin Ayanzadeh; Özden Yalçın Özuysal; Devrim Pesen Okvur; Behçet Uğur Töreyin; Devrim Ünay; Sevgi Önal
data
eye 1
favorite 0
comment 0
Phase contrast Microscopy
Source: https://figshare.com/articles/dataset/Phase_Contrast_Microscopy_of_cells_with_annotation/8965820/1
1
1.0
Jul 26, 2019
07/19
Jul 26, 2019
by
Miguel Vences
data
eye 1
favorite 0
comment 0
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
1
1.0
Jul 26, 2019
07/19
Jul 26, 2019
by
Gary Tse; Christien Ka Hou Li; Sharen Lee; Rachel Wing Chuen Lai; Chengye Yin; Keith Leung; Andrew Li
data
eye 1
favorite 0
comment 0
Automated analysis of ECGs taken from patients with heart failure of different aetiologies
Source: https://zenodo.org/record/3471486
1
1.0
Jul 23, 2019
07/19
Jul 23, 2019
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
data
eye 1
favorite 0
comment 0
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
1
1.0
Jul 18, 2019
07/19
Jul 18, 2019
by
Arnaud, Ophélie; Poulain, Stéphane; Kato, Sachi; Plessy, Charles
data
eye 1
favorite 0
comment 0
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
1
1.0
Jul 16, 2019
07/19
Jul 16, 2019
by
Schmidbauer, Philipp
data
eye 1
favorite 0
comment 0
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
1
1.0
Jul 15, 2019
07/19
Jul 15, 2019
by
Sami Koho
data
eye 1
favorite 0
comment 0
A sample of pollen, imaged with a Nikon A1 confocal microscope, with excitation wavelength 488 nm, 40x/1.2 water immersion objective and GaAsP detector. Due to custom intermediate optics on the illumination/detection path, the objective was underfilled, to produce an effective NA of approximately 0.5-0.6. Image size is 512x512x181 and voxel size 78x78x250 nm (x,y,z).
Source: https://figshare.com/articles/dataset/Pollen_stack/8159165/1
1
1.0
Jul 15, 2019
07/19
Jul 15, 2019
by
Foucart, Francois; Williamson, Andrew; Kidder, Larry; Haas, Roland; Hinderer, Tanja; Hemberger, Dan; Duez, Matthew; Scheel, Mark; Pfeiffer, Harald; Buonanno, Alessandra; Boyle, Michael
data
eye 1
favorite 0
comment 0
Simulation of a black-hole neutron-star binary system evolved by the SpEC code .
Source: https://zenodo.org/record/3337268
1
1.0
Jul 12, 2019
07/19
Jul 12, 2019
by
Michael Lee
data
eye 1
favorite 0
comment 0
angus 2019 genomes from metagenomes
Source: https://figshare.com/articles/dataset/angus_2019_genomes_from_metagenomes/8863388/1
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
1
1.0
Jul 11, 2019
07/19
Jul 11, 2019
by
SXS Collaboration
data
eye 1
favorite 0
comment 0
Simulation of a black-hole binary system evolved by the SpEC code .
Source: https://zenodo.org/record/3319012
1
1.0
Jul 11, 2019
07/19
Jul 11, 2019
by
SXS Collaboration
data
eye 1
favorite 0
comment 0
Simulation of a black-hole binary system evolved by the SpEC code .
Source: https://zenodo.org/record/3322275
1
1.0
Jul 10, 2019
07/19
Jul 10, 2019
by
Johannes Abeler
data
eye 1
favorite 0
comment 0
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
1
1.0
Jul 10, 2019
07/19
Jul 10, 2019
by
SXS Collaboration
data
eye 1
favorite 0
comment 0
Simulation of a black-hole binary system evolved by the SpEC code .
Source: https://zenodo.org/record/3303264
1
1.0
Jul 10, 2019
07/19
Jul 10, 2019
by
Matt Giesler; SXS Collaboration
data
eye 1
favorite 0
comment 0
Simulation of a black-hole binary system evolved by the SpEC code .
Source: https://zenodo.org/record/3307421
1
1.0
Jul 10, 2019
07/19
Jul 10, 2019
by
SXS Collaboration
data
eye 1
favorite 0
comment 0
Simulation of a black-hole binary system evolved by the SpEC code .
Source: https://zenodo.org/record/3307711
1
1.0
Jul 10, 2019
07/19
Jul 10, 2019
by
Kevin Barkett; SXS Collaboration
data
eye 1
favorite 0
comment 0
Simulation of a black-hole binary system evolved by the SpEC code .
Source: https://zenodo.org/record/3303728
1
1.0
Jul 9, 2019
07/19
Jul 9, 2019
by
SXS Collaboration
data
eye 1
favorite 0
comment 0
Simulation of a black-hole binary system evolved by the SpEC code .
Source: https://zenodo.org/record/3275525
1
1.0
Jul 9, 2019
07/19
Jul 9, 2019
by
Tony Chu; Kidder, Larry; Pfeiffer, Harald; Scheel, Mark; Boyle, Michael; Hemberger, Dan; Lovelace, Geoffrey; Szilagyi, Bela
data
eye 1
favorite 0
comment 0
Simulation of a black-hole binary system evolved by the SpEC code .
Source: https://zenodo.org/record/3274549
1
1.0
Jul 9, 2019
07/19
Jul 9, 2019
by
SXS Collaboration
data
eye 1
favorite 0
comment 0
Simulation of a black-hole binary system evolved by the SpEC code .
Source: https://zenodo.org/record/3273341
1
1.0
Jul 9, 2019
07/19
Jul 9, 2019
by
Jonathan Blackman; SXS Collaboration
data
eye 1
favorite 0
comment 0
Simulation of a black-hole binary system evolved by the SpEC code .
Source: https://zenodo.org/record/3272877
1
1.0
Jul 9, 2019
07/19
Jul 9, 2019
by
SXS Collaboration
data
eye 1
favorite 0
comment 0
Simulation of a black-hole binary system evolved by the SpEC code .
Source: https://zenodo.org/record/3275054
3
3.0
Jul 8, 2019
07/19
Jul 8, 2019
by
Bushra Zafar; Nouman Ali
data
eye 3
favorite 0
comment 0
The SIRI-WHU dataset comprises of 2400 images organized into 12 categories. Dataset is uploaded in parts. Complete dataset can be obtained by combining SIRI_WHU1 and SIRI_WHU2 respectively. Zhao B, Zhong Y, Xia GS, Zhang L. Dirichlet-derived multiple topic scene classification model for high spatial resolution remote sensing imagery. IEEE Transactions on Geoscience and Remote Sensing. 2016;54(4):2108{2123.
Source: https://figshare.com/articles/dataset/SIRI_WHU_Dataset/8796980/2
1
1.0
Jul 8, 2019
07/19
Jul 8, 2019
by
Jean Armengaud
data
eye 1
favorite 0
comment 0
We sequenced the transcriptomes of a male individual and a female individual for seven different taxonomical groups: Gammarus fossarum A, G. fossarum B, G. fossarum C, Gammarus wautieri, Gammarus pulex, Echinogammarus berilloni and Echinogammarus marinus. Translations of coding sequence regions were produced for each transcriptome by Transdecoder from stop to stop codons, analysing only top strand with 500 top longest ORFs used for training, and retaining 600 base pair ORFs and only proteins...
Source: https://figshare.com/articles/dataset/YC02_Transcriptome_translated_ORFs/8798471/1
