Find research datasets worth reusing
Search datasets from major research repositories and use ShareScore to quickly assess how well each record supports discovery, access, and reuse.
6,704
datasets available to search
ShareScore release 0.9.0
Dataset results
6,704 results for “reports”
Figure 3a. from: Defining the Scholarly Commons - Reimagining Research Communication. Report of Force11 SCWG Workshop, Madrid, Spain, February 25-27, 2016 - Research Ideas and Outcomes 2: e9340 (26 May 2016) https://doi.org/10.3897/rio.2.e9340
Figure 3a. - Islands of possibilities (part of YKON facilitation) at Madrid workshopFigure 3a.Islands of possibilities located in workshop roomFigure 3b.Personality modification islandFigure 3c.Observation island <br> Islands of possibilities located in workshop room
Figure 8a. from: Defining the Scholarly Commons - Reimagining Research Communication. Report of Force11 SCWG Workshop, Madrid, Spain, February 25-27, 2016 - Research Ideas and Outcomes 2: e9340 (26 May 2016) https://doi.org/10.3897/rio.2.e9340
Figure 8a. - Workshop visualization - collection of ideas and group visionsFigure 8a.Visualization showing all ideas generated collectively in the first round (session 3, dark grey) or second round (session 4, light grey), and those generated by the respective groups (solid colors) as part of their vision of scholarly communication. Figure 8b.Visualizaton showing all groups' visions as interconnected elements (triples), with common elements overlapping. <br>
Rediscovery Datasets: Connecting Duplicate Reports of Apache, Eclipse, and KDE
<p>We present three defect rediscovery datasets mined from Bugzilla. The datasets capture data for three groups of open source software projects: Apache, Eclipse, and KDE. The datasets contain information about approximately 914 thousands of defect reports over a period of 18 years (1999-2017) to capture the inter-relationships among duplicate defects. </p> <p><strong>File Descriptions</strong></p> <ul> <li>apache.csv - Apache Defect Rediscovery dataset</li> <li>eclipse.csv - Eclipse Defect Rediscovery dataset</li> <li>kde.csv - KDE Defect Rediscovery dataset</li> </ul> <p> </p> <ul> <li>apache.relations.csv - Inter-relations of rediscovered defects of Apache</li> <li>eclipse.relations.csv - Inter-relations of rediscovered defects of Eclipse</li> <li>kde.relations.csv - Inter-relations of rediscovered defects of KDE</li> </ul> <p> </p> <ul> <li>create_and_populate_neo4j_objects.cypher - Populates Neo4j graphDB by importing all the data from the CSV files. Note that you have to set dbms.import.csv.legacy_quote_escaping configuration setting to false to load the CSV files as per https://neo4j.com/docs/operations-manual/current/reference/configuration-settings/#config_dbms.import.csv.legacy_quote_escaping</li> <li>create_and_populate_mysql_objects.sql - Populates MySQL RDBMS by importing all the data from the CSV files</li> <li>rediscovery_db_mysql.zip - For your convenience, we also provide full backup of the MySQL database</li> </ul> <p> </p> <ul> <li>neo4j_examples.txt - Sample Neo4j queries</li> <li>mysql_examples.txt - Sample MySQL queries</li> <li>rediscovery_eclipse_6325.png - Output of Neo4j example #1</li> </ul> <p> </p> <ul> <li>distinct_attrs.csv - Distinct values of bug_status, resolution, priority, severity for each project</li> </ul>
DOSE - Global dataset of reported subnational economic output
<p><strong>DOSE V2.11</strong><strong> is an update of DOSE V2. </strong>We made a few corrections and additions to the data where various users had identified gaps or inaccuracies. Please see 'DOSEV2.11_changes.pdf' for details. </p> <p><strong>DOSE – the MCC-PIK Database Of Sub-national Economic Output. </strong>DOSE v2 contains harmonised data on reported economic output for:</p> <ul> <li>1,661 sub-national regions</li> <li>across 83 countries</li> <li>from 1953 to 2020</li> <li>with sectoral detail for the agricultural, manufacturing and services sectors.</li> </ul> <p>To avoid interpolation, values were assembled from numerous statistical agencies, yearbooks and the literature and harmonised for both aggregate and sectoral output. In addition to regional economic output in local currency units (LCU) at current market prices as collected from the original data sources, DOSE contains per capita estimates in LCU and US dollars at both, current and 2015 market prices to enable comparison across time and space. Population data, market exchanges rates and deflator data used to generate them are included as well. Moreover, we provide temporally and spatially consistent data for regional boundaries, enabling matching with geo-spatial data such as climate observations. Annual temperature and precipitation data for each region are already included. Overall, DOSE provides the opportunity for detailed analyses of economic development at the subnational level, consistent with reported values.</p> <p>A peer-reviewed data descriptor with detailed documentation of the different data assembling, processing and validation steps as well as illustrative plots of the data set's coverage and examples for its application can be found here: </p> <p>L. Wenz, R.D. Carr, N. Koegel, M. Kotz, M. Kalkuhl. <a href="https://rdcu.be/dfTPH">DOSE – Global data set of reported sub-national economic output</a>. Nature Scientific Data. 2023. https://doi.org/10.1038/s41597-023-02323-8</p> <p> </p>
Dataset from 10-K financial reports Netflix 2011 - 2022
<p>Dataset from Netflix's 10-K annual reports, which include externally audited data about financial activities of businesses based in the US. For a description of the data compiled see the .docx document. The code included was used in the following research:</p><p>Title: Evidence of diseconomies of scale in subscription-based video on demand services.<br><br>Abstract: This study provides evidence of diseconomies of scale in Netflix, a major subscription-based video on demand (SVOD) service provider. This contradicts the common belief in prevalent economies of scale for such e-businesses. We, however, rely on a comprehensive analysis of a dataset where we have collected and combined publicly available and audited financial data, mostly coming from Netflix's 10-K reports. In our analysis we employ several user-cost models, namely a baseline linear model, a power law model, an exponential model, and a logarithmic model. Such models often appear (in different variations) in economics literature, but are almost inexistent in the rhetoric around SVOD business models. Corroborating the applications of all these mathematical models on the financial data of Netflix identifies a super-linear increase in costs with expanding user basis, indicating the rising per-user costs that defines diseconomies of scale. These findings provide critical insights into SVOD service scalability, challenging prevailing assumptions and informing expectations about cost dynamics in this industry.</p>
PRISMA-P (Preferred Reporting Items for Systematic Review and Meta-Analysis Protocols) of the research entitled "Development of Competences for the Fashion Designer: a Scope Review
<p>PRISMA-P (Preferred Reporting Items for Systematic review and Meta-Analysis Protocols) 2015 checklist: recommended items to address in a systematic review protocol and Check list CAPSI - Critical analysis of the articles related to the specific objective: map the current themes that permeate the competencies of fashion design professionals through a scoping review.</p>
TweetC19SR-Eng - Manually annotated dataset of English language COVID-19 tweets containing self-reports of symptoms
<p><strong>In this work, we release two expert curated, manually annotated datasets of COVID-19 self-reported symptoms. The first dataset contains tweets in English and the second contains tweets in Spanish, both containing around 36,500 tweets in total. These datasets were used for the Sixth and Seventh Workshop on Social Media Mining For Health (2021 and 2022)</strong></p>
TweetC19SR-Spa - Manually annotated dataset of Spanish language COVID-19 tweets containing self-reports of symptoms
<p><strong>In this work, we release two expert curated, manually annotated datasets of COVID-19 self-reported symptoms. The first dataset contains tweets in English and the second contains tweets in Spanish, both containing around 36,500 tweets in total. These datasets were used for the Sixth and Seventh Workshop on Social Media Mining For Health (2021 and 2022)</strong></p>
Nordic trial reporting project: Raw data from EU Clinical Trials Registry (EUCTR) and ClinicalTrials.gov
<p>Uploaded on behalf of the author team for the research project "<strong>Systematic evaluation of clinical trial reporting at medical universities and university hospitals in the Nordic countries</strong>".</p><p><strong>Raw data</strong> from EU Clinical Trials Registry (EUCTR) and ClinicalTrials.gov:</p><p><strong>EUCTR</strong>: We retrieved the latest dataset for the EU Trials Tracker of EUCTR trials on Nov 27, 2022, reflecting data from Nov 7, 2022 (1,2). We also used a custom web scraper that automatically extracts data from EUCTR country protocols and results sections (variables described in Appendix Table 2), developed by the EU Trials Tracker team (2).<br>References: <br>1. Goldacre B, DeVito NJ, Heneghan C, Irving F, Bacon S, Fleminger J, Curtis H. Compliance with requirement to report results on the EU Clinical Trials Register: cohort study and web resource. BMJ. 2018 Sep 12;362:k3218.<br>2. EU Trials Tracker — Who's not sharing clinical trial results? [Internet]. [cited 2022 Aug 30]. Available from: http://eu.trialstracker.net/</p><p><strong>ClinicalTrials.gov</strong>: We downloaded the complete Aggregate Analysis of ClinicalTrials.gov dataset (AACT, http://aact.ctti-clinicaltrials.org/) on Nov 27, 2022, reflecting data from Nov 9, 2022. </p><p>See our GitHub and preregistered protocol for more details:<br>https://github.com/cathrineaxfors/nordic-trial-reporting<br>https://osf.io/97qkv/</p>
Figure 78 in A preliminary report on the World species of Bemisia Quaintance and Baker and its congeners (Hemiptera: Aleyrodidae) with a comparative analysis of morphological variation and its role in the recognition of species Raymond Gill
Figure 78. Bemisia afer complex, Madeira, Santana, Faja do Niguiera, 15-XII-92, ex. Myrica toya, F. Aguiar, coll.
Figure 77 in A preliminary report on the World species of Bemisia Quaintance and Baker and its congeners (Hemiptera: Aleyrodidae) with a comparative analysis of morphological variation and its role in the recognition of species Raymond Gill
Figure 77. Bemisia afer complex, Madeira, Faja do Penedo, 20.iii.92, ex. Marcetella madeirensis, F. Aguiar, coll., #C136.
Figure 79 in A preliminary report on the World species of Bemisia Quaintance and Baker and its congeners (Hemiptera: Aleyrodidae) with a comparative analysis of morphological variation and its role in the recognition of species Raymond Gill
Figure 79. Bemisia afer complex, Madeira, Levada above Ribeiro Bonita, nr. Sao Jorge Icod de los Vinos, 01 Apr. 1995, ex. Sibthorpia peregrina (Scrophulariaceae), J. Martin and A. Aguiar, colls., JHM # 6590.
Figure 76 in A preliminary report on the World species of Bemisia Quaintance and Baker and its congeners (Hemiptera: Aleyrodidae) with a comparative analysis of morphological variation and its role in the recognition of species Raymond Gill
Figure 76. Bemisia afer complex, Madeira, Faja do Penedo, 20-iii-1992, ex. Marcetella madeirensis, F. Aguiar, coll. # C136.
Figure 71 in A preliminary report on the World species of Bemisia Quaintance and Baker and its congeners (Hemiptera: Aleyrodidae) with a comparative analysis of morphological variation and its role in the recognition of species Raymond Gill
Figure 71. Bemisia afer complex, Canary Islands, Tenerife, Barranco de las Moradas, ex. Eschium sp., J. Martin, coll., JHM # 7048.
Figure 70 in A preliminary report on the World species of Bemisia Quaintance and Baker and its congeners (Hemiptera: Aleyrodidae) with a comparative analysis of morphological variation and its role in the recognition of species Raymond Gill
Figure 70. Bemisia afer complex, Canary Islands, Tenerife, Barranco de los Moradas, nr. Icod de los Vinos, approx 700-900 m., 18 May 1997, ex Rubus fruticosus grp., J.H. Martin, coll., JHM #7047.
Figure 69 in A preliminary report on the World species of Bemisia Quaintance and Baker and its congeners (Hemiptera: Aleyrodidae) with a comparative analysis of morphological variation and its role in the recognition of species Raymond Gill
Figure 69. Bemisia afer complex, Canary Islands, La Palma, Ctr. Barbuento, ex. Rubus sp., 21-VI-1997, E. Hernandez-Suarez, coll.
Figure 68 in A preliminary report on the World species of Bemisia Quaintance and Baker and its congeners (Hemiptera: Aleyrodidae) with a comparative analysis of morphological variation and its role in the recognition of species Raymond Gill
Figure 68. Bemisia afer complex, Canary Islands, Tenerife, Barranco, de las, Moradas, nr., Icod de los Vinos, at 7-900m, 18 May 1997, ex. Cistus sp., J. Martin, coll., JHM # 7046.
Figure 67 in A preliminary report on the World species of Bemisia Quaintance and Baker and its congeners (Hemiptera: Aleyrodidae) with a comparative analysis of morphological variation and its role in the recognition of species Raymond Gill
Figure 67. Bemisia afer complex, Canary Islands, Tenerife: Guimar, Bco de Badajos, 25 Nov. 2000, ex. Bencomia caudata, -upper surfaces, J.H.Martin, coll.
Figure 74 in A preliminary report on the World species of Bemisia Quaintance and Baker and its congeners (Hemiptera: Aleyrodidae) with a comparative analysis of morphological variation and its role in the recognition of species Raymond Gill
Figure 74. Bemisia afer complex, Madeira, Seixal, 6-III-92, ex. Ocotea foetens., (Lauraceae), F. Aguiar, coll. #C125.
Figure 75 in A preliminary report on the World species of Bemisia Quaintance and Baker and its congeners (Hemiptera: Aleyrodidae) with a comparative analysis of morphological variation and its role in the recognition of species Raymond Gill
Figure 75. Bemisia afer complex, Madeira, Levado do Norte,, Below Bica da Cana, 1000-1100 m, 16 May 1997, ex. Clethra arborea, J.H. Martin coll. #7040. This illustration is less detailed than others, and is meant only to show general body shape and setal patterns.
ScienceDex guides
Understand access before you commit
These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.