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Title
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UNPAYWALL-PDF-CRAWL-2019-04
UNPAYWALL-PDF-CRAWL-2019-04
collection
641
ITEMS
5.9M
VIEWS
by Internet Archive Web Group
collection

eye 5.9M

DIRECT-OA-CRAWL-2019
DIRECT-OA-CRAWL-2019
collection
2,566
ITEMS
5.6M
VIEWS
by Internet Archive Web Group
collection

eye 5.6M

PubMed Central Crawl (2019-10)
PubMed Central Crawl (2019-10)
collection
216
ITEMS
456,372
VIEWS
by Internet Archive Web Group
collection

eye 456,372

arXiv Content Crawl (2019-10)
arXiv Content Crawl (2019-10)
collection
37
ITEMS
79,989
VIEWS
by Internet Archive Web Group
collection

eye 79,989

OMICS-DOI-LANDING-CRAWL-2019-04
OMICS-DOI-LANDING-CRAWL-2019-04
collection
4
ITEMS
14,146
VIEWS
by Internet Archive Web Group
collection

eye 14,146

This crawl started in April 2019, as an informal collaboration with Crossref. Crawling a smallish number (100k) DOI redirects and landing pages (plus PDF outlinks, and maybe a couple other hops) for a single large publisher (OMICS, which has multiple subsidiaries). Intent is to get reasonably good capture that can be used as canonical preservation copies of the landing pages. Secondary goal is to get decent fulltext capture coverage.
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...
Academic Data and Datasets
by Dalberg
data

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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
Academic Data and Datasets
by figshare admin cellimagelibrary
data

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Single computed slice through a tomographic reconstruction of a protoplasmic astrocyte in a 0.5 um thick section from the hippocampus of a 1 month old male mouse, imaged with intermediate voltage electron microscopy. This reconstruction is the 14th in a series of 26 serial reconstructions through the cell soma. The complete reconstruction can be viewed under MP7503.
Source: https://cellimagelibrary.figshare.com/articles/dataset/CCDB_6727_jpg/8179529/1
Academic Data and Datasets
by figshare admin cellimagelibrary
data

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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
Web PDF GROBID Corpus (June 2019)
Web PDF GROBID Corpus (June 2019)
collection
10
ITEMS
50
VIEWS
by Internet Archive Web Group
collection

eye 50

Community Texts
by Internet Archive Web Group
texts

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Academic Data and Datasets
by You, Hye Young
data

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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
by figshare admin cellimagelibrary
data

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Electron micrograph of the cell body of a 0.25 um thick section through a cortical pyramidal neuron from the brain of a patient with Alzheimer's disease. The specimen was prepared from biopsy material obtained several decades ago.
Source: https://cellimagelibrary.figshare.com/articles/dataset/CCDB_6354_jpg/8142092/1
Bulk Bibliographic Metadata
by EZB
data

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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
In this article, the data obtained from the uniaxial fully-reversed fatigue experiments conducted on polyether ether ketone (PEEK), a semi-crystalline thermoplastic, are presented. The tests were performed in either strain-controlled or load-controlled mode under various levels of loading. The data are categorized into four subsets according to the type of tests, including (1) strain-controlled fatigue tests with adjusted frequency to obtain the nominal temperature rise of the specimen surface,...
Source: https://dataverse.harvard.edu/dataset.xhtml?persistentId=doi:10.7910/DVN/YSFURO&version=1.0
Bulk Bibliographic Metadata
by DIrectory of Open Access Journals
data

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From: https://doaj.org/public-data-dump
DOI.ORG Referenced Papers Mirror
by David Yokum, Anita Ravishankar, Alexander Coppock
texts

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Abstract:  Police body-worn cameras (BWCs) have been widely promoted as a technological mechanism to improve policing and the perceived legitimacy of police and legal institutions, yet evidence of their effectiveness is limited. To estimate the effects of BWCs, we conducted a randomized controlled trial involving 2,224 Metropolitan Police Department officers in Washington, DC. Here we show that BWCs have very small and statistically insignificant effects on police use of force and civilian...
Bulk Bibliographic Metadata
by DIrectory of Open Access Journals
data

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Downloaded from https://doaj.org/csv and the OAI-PMH interface. File names encode the date when data was downloaded.
Academic Data and Datasets
by Jonathan Pevsner
data

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1000 Genomes gVCF mapped to hs37d5 for HG00154.
Source: https://figshare.com/articles/dataset/gVCF_HG00154/7872560/1
Academic Data and Datasets
by Jonathan Pevsner
data

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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
Academic Data and Datasets
by Jonathan Pevsner
data

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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
Academic Data and Datasets
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
Academic Data and Datasets
by Jonathan Pevsner
data

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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
Academic Data and Datasets
by Jonathan Pevsner
data

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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
Academic Data and Datasets
by Jonathan Pevsner
data

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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
Academic Data and Datasets
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

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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
Academic Data and Datasets
by Steven Peterson
data

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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
Academic Data and Datasets
by Niklas König Ignasiak; Deepak K Ravi; Stefan Orter; Seyyed Hamed Hosseini Nasab; William R Taylor; Navrag Singh
data

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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
Academic Data and Datasets
by Aydin Ayanzadeh; Özden Yalçın Özuysal; Devrim Pesen Okvur; Behçet Uğur Töreyin; Devrim Ünay; Sevgi Önal
data

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Phase contrast Microscopy
Source: https://figshare.com/articles/dataset/Phase_Contrast_Microscopy_of_cells_with_annotation/8965820/1
Academic Data and Datasets
by Abel Gomes
data

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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
Academic Data and Datasets
data

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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
Academic Data and Datasets
by Benedikt Geier
data

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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
Academic Data and Datasets
by Jonathan Pevsner
data

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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
Academic Data and Datasets
by Jonathan Pevsner
data

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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
Academic Data and Datasets
by Peter Vogt; Kurt H. Riitters; Giovanni Caudullo; Bernd Eckhardt
data

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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
Academic Data and Datasets
by Simon Porter; Jared Watts
data

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Network data for What does NZ research look like
Source: https://figshare.com/articles/dataset/grid_414055_1/10022990/1
Academic Data and Datasets
by Tobin, John
data

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Ka-band VLA data for Per-emb-1/HH211-MMS CC0 Waiver
Source: https://dataverse.harvard.edu/dataset.xhtml?persistentId=doi:10.7910/DVN/8Z9AXP&version=2.0
Academic Data and Datasets
by Lima, Alvaro
data

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Newspaper CC0 Waiver
Source: https://dataverse.harvard.edu/dataset.xhtml?persistentId=doi:10.7910/DVN/DWN6PA&version=1.0
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
Academic Data and Datasets
by Jiapeng Qu; Fabian Ewald fassnacht; Christopher Schiller; Teja Kattenborn; Xinquan Zhao
data

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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
Academic Data and Datasets
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

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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
Academic Data and Datasets
by Jiapeng Qu; Fabian Ewald fassnacht; Christopher Schiller; Teja Kattenborn; Xinquan Zhao
data

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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
Academic Data and Datasets
data

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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
Academic Data and Datasets
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

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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
Academic Data and Datasets
by Aria S Hahn
data

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This sample is part of the GutCyc Collection ( www.gutcyc.org ), a compendium of environmental pathway / genome databases. GutCyc was constructed from 418 human microbiome assemblies using the open-source MetaPathways pipeline, that enables reproducible metagenomic annotation.
Source: https://figshare.com/articles/dataset/SRS049164_scaffolds_zip/3478697/1
Academic Data and Datasets
data

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Raw data for the experiments in Section 7 conducted for the paper https://papers.nips.cc/paper/5872-efficient-and-robust-automated-machine-learning
Source: https://figshare.com/articles/dataset/Efficient_and_Robust_Automated_Machine_Learning_-_Section_6/3824103/2
Academic Data and Datasets
by Nick Curtis; Kyle Niemeyer
data

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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 (http://combustion.berkeley.edu/gri-mech/version30/text30.html). The data is saved in the numpy .npz format, and is organized as follows: The keys of the .npz file are the original filenames, e.g. pasr_out_0.npy, etc. The files correspond to the following inlet conditions: 0, 1, 2: 400, 600, 800 K at 1 atm 3, 4, 5: 400, 600, 800 K at 10 atm 6, 7, 8: 400, 600, 800...
Source: https://figshare.com/articles/dataset/ch4_pasr_data_bin/4007418/2
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
Fatcat Database Snapshots and Bulk Metadata Exports
by Internet Archive Web Group
data

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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
data

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Bulk Bibliographic Metadata
by Internet Archive Web Group
data

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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
data

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This item contains bulk metadata exported from https://fatcat.wiki. With the exception of the 'abstracts' file (for which no aggregate license or copyright claims can be made; downstream users are responsible for their use), all metadata here is licensed CC-0 (public domain release) and may be used for any purpose. Downstream users are strongly encouraged to provide attribution and link here to the snapshot, as well as give credit to upstream sources (including Crossref, ORCID, DOAJ, the ISSN...
UNPAYWALL-PDF-CRAWL-2019-04
by Internet Archive Web Group
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Fatcat Database Snapshots and Bulk Metadata Exports
by Internet Archive Web Group
data

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Huntington referred to a ‘clash of civilizations’ revealing itself in international terrorism, particularly in the clash between the Islamic civilization and the West. The authors confront his hypotheses with ones derived from the strategic logic of international terrorism. They predict more terrorism against nationals from countries whose governments support the government of the terrorists’ home country. Like Huntington, they also predict excessive terrorism on Western targets, not...
Source: https://dataverse.harvard.edu/dataset.xhtml?persistentId=doi:10.7910/DVN/HOGQGD&version=1.0
Bulk Bibliographic Metadata
by Microsoft Academic Search
data

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This is a copy of the Microsoft Academic Graph corpus of scholarly publications and citations, based on crawls from the open web. Metadata (authors, DOI numbers, journals, citations, keywords, affiliations, etc) is included for more than 125 million publications. The corpus is a single 27GB zipfile that extracts into about 96GB of flat tab-separated text files, cross-referenced using identifier columns. Schema information can be found in the `readme.txt` file, and usage restrictions can be...
Bulk Bibliographic Metadata
data

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This item contains snapshots of the PubMed Central OA subset file manifests, linked from https://www.ncbi.nlm.nih.gov/pmc/tools/openftlist
Bulk Bibliographic Metadata
by Impactstory
data

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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
data

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OAI-PMH metadata collected from the arxiv.org endpoint, using the arXivRaw schema. Collected in two batches: up through ~2017, then up through May 22nd, 2019.
Bulk Bibliographic Metadata
by Bruns A, Lenke C, Schmidt C, Taubert NC
data

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ISSN-GOLD-OA provides a matching list of ISSN for Gold Open Access (OA) journals. The intention was to compile a matching table that is as complete as possible by using different publicly available sources. The data set offers a basis for various journal-related issues in bibliometric studies on Gold OA. The list is an updated version of ISSN-GOLD-OA . For a detailed description of the method, data sources used and the definition of the table fields, please refer to the original...
Academic Data and Datasets
data

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This replication archive contains all data and code to replicate the results in "Measuring Political Positions from Legislative Speech" by Benjamin E. Lauderdale and Alexander Herzog. Article abstract : Existing approaches to measuring political disagreement from text data perform poorly except when applied to narrowly selected texts discussing the same issues and written in the same style. We demonstrate the first viable approach for estimating legislator-specific scores from the...
Source: https://dataverse.harvard.edu/dataset.xhtml?persistentId=doi:10.7910/DVN/RQMIV3&version=1.0
Academic Data and Datasets
by Musfiqur Rahman
data

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English - code parallel corpus from StackOverflow
Source: https://figshare.com/articles/dataset/SOParallelData_zip/7673927/1
Academic Data and Datasets
by Jonathan Pevsner
data

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1000 Genomes gVCF mapped to hs37d5 for HG00097.
Source: https://figshare.com/articles/dataset/gVCF_HG00097/7841411/1
Academic Data and Datasets
by Andrew D. Richardson; David Y. Hollinger; Julie Shoemaker; Holly Hughes; Kathleen Savage; Eric A. Davidson
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Carbon dioxide (CO 2 ), methane (CH 4 ), and nitrous oxide (N 2 O) are the greenhouse gases largely responsible for anthropogenic climate change. Natural plant and microbial metabolic processes play a major role in the global atmospheric budget of each. We have been studying ecosystem-atmosphere trace gas exchange at a sub-boreal forest in the northeastern United States for over two decades. Historically our emphasis was on turbulent fluxes of CO 2 and water vapor. In 2012 we embarked on an...
Source: https://figshare.com/articles/dataset/Tower-_and_chamber-based_greenhouse_gas_flux_measurements_from_Howland_Forest_Maine_2012-2018_/7445657/1
Academic Data and Datasets
by Jonathan Pevsner
data

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1000 Genomes gVCF mapped to hs37d5 for NA18864. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
Source: https://figshare.com/articles/dataset/gVCF_NA18864/7890737/1
Academic Data and Datasets
by Jonathan Pevsner
data

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1000 Genomes gVCF mapped to hs37d5 for HG01624. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
Source: https://figshare.com/articles/dataset/gVCF_HG01624/7895774/1
Academic Data and Datasets
by Jonathan Pevsner
data

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1000 Genomes gVCF mapped to hs37d5 for HG03452. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
Source: https://figshare.com/articles/dataset/gVCF_HG03452/7901339/1
Academic Data and Datasets
by Jonathan Pevsner
data

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1000 Genomes gVCF mapped to hs37d5 for HG01950. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
Source: https://figshare.com/articles/dataset/gVCF_HG01950/7911317/1
Academic Data and Datasets
by Jonathan Pevsner
data

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1000 Genomes gVCF mapped to hs37d5 for HG03558. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
Source: https://figshare.com/articles/dataset/gVCF_HG03558/7907651/1
Academic Data and Datasets
by Jonathan Pevsner
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1000 Genomes gVCF mapped to hs37d5 for NA19185. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
Source: https://figshare.com/articles/dataset/gVCF_NA19185/7927103/1
Academic Data and Datasets
by Jonathan Pevsner
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1000 Genomes gVCF mapped to hs37d5 for NA19475. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
Source: https://figshare.com/articles/dataset/gVCF_NA19475/7929941/1
Academic Data and Datasets
by Jonathan Pevsner
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1000 Genomes gVCF mapped to hs37d5 for HG03812. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
Source: https://figshare.com/articles/dataset/gVCF_HG03812/7928066/1
Academic Data and Datasets
by Jonathan Pevsner
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1000 Genomes gVCF mapped to hs37d5 for HG02286. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
Source: https://figshare.com/articles/dataset/gVCF_HG02286/7928966/1
Academic Data and Datasets
by Jonathan Pevsner
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1000 Genomes gVCF mapped to hs37d5 for HG03874. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
Source: https://figshare.com/articles/dataset/gVCF_HG03874/7928795/1
Academic Data and Datasets
by Jonathan Pevsner
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1000 Genomes gVCF mapped to hs37d5 for HG02561. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
Source: https://figshare.com/articles/dataset/gVCF_HG02561/7931462/1
Academic Data and Datasets
by Jonathan Pevsner
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1000 Genomes gVCF mapped to hs37d5 for HG02554. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
Source: https://figshare.com/articles/dataset/gVCF_HG02554/7931255/1
Academic Data and Datasets
by Jonathan Pevsner
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1000 Genomes gVCF mapped to hs37d5 for NA18504. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
Source: https://figshare.com/articles/dataset/gVCF_NA18504/7944293/1
Academic Data and Datasets
by Jonathan Pevsner
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1000 Genomes gVCF mapped to hs37d5 for NA20786. Complete collection: https://doi.org/10.6084/m9.figshare.c.4414307
Source: https://figshare.com/articles/dataset/gVCF_NA20786/7944296/1
Academic Data and Datasets
by Soon-Chun Jeong; Myung-Shin Kim; Ji Hong Kim; Youn Young Hur
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Candidate SNP variants detected by analysis of genome resequencing data from 33 grape accessions
Source: https://figshare.com/articles/dataset/33Grapes_Total_SNP_final_chr06_vcf_gz/8116106/1
Academic Data and Datasets
by Hacking Materials
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Matbench v0.1 test dataset for predicting DFT PBE band gap from structure. Adapted from Materials Project database. Removed entries having a formation energy (or energy above the convex hull) more than 150meV and those containing noble gases. Retrieved April 2, 2019.
Source: https://figshare.com/articles/dataset/mp_gap/9461444/1
Molecular phylogenetic inference is inherently dependent on choices in both methodology and data. Many insightful studies have shown how choices in methodology, such as the model of sequence evolution or optimality criterion used, can strongly influence inference. In contrast, much less is known about the impact of choices in the properties of the data, typically genes, on phylogenetic inference. We investigated the relationships between 52 gene properties (24 sequence-based, 19 function-based,...
Source: https://figshare.com/articles/dataset/A_genome-scale_investigation_of_how_sequence-_function-_and_tree-based_gene_properties_influence_phylogenetic_inference/1597710/2
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/3303264
Academic Data and Datasets
by Matt Giesler; SXS Collaboration
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Simulation of a black-hole binary system evolved by the SpEC code .
Source: https://zenodo.org/record/3307421
Academic Data and Datasets
by Raphaël Nussbaumer; Lionel Benoit; Grégoire Mariethoz; Felix Liechti; Silke Bauer; Baptiste Schmid
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This dataset contains the interpolated values of bird density and bird flight speed (N-S and E-W) resulting from the methodology presented in [reference].The methodology is explained in less detail at  rafnuss-postdoc.github.io/BMM . The resulting interpolation is a probability distribution (define the probability of each value to occurs). Only the median, quantile 10 and 90 are given in this file.  The spatio-temporal grid has a resolution of 0.2° in latitude (43°-68°) and longitude...
Source: https://zenodo.org/record/3243466
Academic Data and Datasets
by Alexander V. Georgiev; Diana Christie; Kevin A. Rosenfield; Angelina V. Ruiz-Lambides; Elizabeth Maldonado; Melissa Emery Thompson; Dario Maestripieri
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Explaining intraspecific variation in reproductive tactics hinges on measuring associated costs and benefits. Yet, this is difficult if alternative (purportedly less optimal) tactics remain unobserved. We describe a rare alpha-position take-over by an immigrant male rhesus macaque in a population where males typically gain rank via succession. Unusually, male aggressiveness after the take-over correlated with rank and mating success. The new alpha achieved the highest mating and reproductive...
Source: https://brill.figshare.com/articles/dataset/Movie_file_for_Breaking_the_succession_rule_the_costs_and_benefits_of_an_alpha_status_take_over_by_an_immigrant_rhesus_macaque_on_Cayo_Santiago/2198989/1
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 1997 Tile 14
Source: https://springernature.figshare.com/articles/dataset/Landsat_based_peak_NDVI_image_Year_1997_Tile_14/7769753/1
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 2018 Tile 13
Source: https://springernature.figshare.com/articles/dataset/Landsat_based_peak_NDVI_image_Year_2018_Tile_13/7769732/1
Academic Data and Datasets
by Janet Loebach; Kate Tilleczek; Brent Chaisson; Brian Sharp
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The Young Lives Research Laboratory is concerned with the lives of modern youth from education to technology to mental health. Technology is ubiquitous in the day to day lives of young people in Canada but little is known about the ways in which digital media affects their mental health, especially for Indigenous youth. Research seldom engages youth to clarify and or interrogate digital media and well-being. This paper addresses the dearth of empirical work and supports the development of...
Source: https://tandf.figshare.com/articles/dataset/_i_Keyboard_warriors_i_Visualising_technology_and_well-being_i_with_for_i_and_i_by_i_indigenous_youth_through_digital_stories/11106794/1
UNPAYWALL-PDF-CRAWL-2019-04
by Internet Archive Web Group
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Academic Data and Datasets
by Foucart, Francois; Williamson, Andrew; Kidder, Larry; Haas, Roland; Hinderer, Tanja; Hemberger, Dan; Duez, Matthew; Scheel, Mark; Pfeiffer, Harald; Buonanno, Alessandra; Boyle, Michael
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Simulation of a black-hole neutron-star binary system evolved by the SpEC code .
Source: https://zenodo.org/record/3337268
Academic Data and Datasets
by SXS Collaboration
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Simulation of a black-hole binary system evolved by the SpEC code .
Source: https://zenodo.org/record/3322275
Academic Data and Datasets
by Gary Tse; Christien Ka Hou Li; Sharen Lee; Rachel Wing Chuen Lai; Chengye Yin; Keith Leung; Andrew Li
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Automated analysis of ECGs taken from patients with heart failure of different aetiologies
Source: https://zenodo.org/record/3471486
Globcover 2009 (Global Land Cover. European Space Agency and the Université catholique de Louvain, 2010 - http://due.esrin.esa.int/page_globcover.php). Resampled from original spatial resolution of 250 m to 100 m and provided as 1201x1201 pixel tiles. CC0 Waiver
Source: https://dataverse.harvard.edu/dataset.xhtml?persistentId=doi:10.7910/DVN/XALRAG&version=1.0
Academic Data and Datasets
by Stephens, Ian
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uv (visibility) continuum and spectral line data for Per-emb-20 (Per20, L1455 IRS4, L1455-IRS4) CC0 Waiver
Source: https://dataverse.harvard.edu/dataset.xhtml?persistentId=doi:10.7910/DVN/X9YP3I&version=1.0
Academic Data and Datasets
by Matthew Hiatt
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Data used to generate figures in "Geometry and topology of estuary and braided river channel networks automatically extracted from topographic data"
Source: https://figshare.com/articles/dataset/Exampled_Input_Files_for_LowPath/10324529/1
Academic Data and Datasets
by Scientific Data; David Carr; Konstantinos Repanas; Aileen Sheehy; Paola Quattroni; Paul Stokes
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Join representatives from the top funders of open data for ' Putting our money where our mouth is: How funders are backing up data policy with practical support' Featuring: Maximising the value of research data - Current priorities for Wellcome - David Carr, Wellcome Trust FAIR and open data at the European Commission- Konstantinos Repanas, European Commission Enabling a national environment for improved data sharing - Initiatives from the HRB- Aileen Sheehy, Irish Health Research Board...
Source: https://figshare.com/articles/dataset/Putting_our_money_where_our_mouth_is_How_funders_are_backing_up_data_policy_with_practical_support_-_SciData19_Funder_Talks/10318649/1
Academic Data and Datasets
by Martin Dorber; Koen Kuipers; Francesca Verones
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LUCM map generated in "Dorber, M.; Kuipers, K.; Verones, F., Global characterization factors for terrestrial biodiversity impacts of future land inundation in Life Cycle Assessment. Science of The Total Environment 2019. (https://doi.org/10.1016/j.scitotenv.2019.134582)" to calculate Area (Ai,j) and area shares (pi,j). Values for land use types: 1= Natural habitat; 2= Managed forest; 3 Pasture; 4 Agriculture; 5= Urban; 210 = Water
Source: https://figshare.com/articles/dataset/LUCM_Map_Ratser_File/11106575/1
Academic Data and Datasets
by Steven Rubinyi
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I've included an ESRI ArcMap document, the accompanying ESRI Geodatabase, as well as the toolkit and code for the models used in the analysis.
Source: https://figshare.com/articles/dataset/Map_Document_Geodatabase_and_Code/11444808/2
Academic Data and Datasets
by Jianjiang Xu
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targeted region sequencing data
Source: https://figshare.com/articles/dataset/TRS/9632867/2
Academic Data and Datasets
by Jiyuan An
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Gastroesophageal reflux GWAS identifies risk loci that also associate with subsequent severe esophageal diseases
Source: https://figshare.com/articles/dataset/GERD_GWAS_summary/8986589/1