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747 results for “Open Data”

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zenodo36/100

CWTS Leiden Ranking Open Edition 2024 - Data

This data set contains the data used to create the <a href="https://open.leidenranking.com">Open Edition of the CWTS Leiden Ranking 2024</a>. The data set includes (1) data about the universities included in the Leiden Ranking Open Edition 2024 and the links between these universities and their affiliated organizations, (2) data about the publications included in the Leiden Ranking Open Edition 2024 and the links between these publications and universities and main fields, (3) indicators at the level of publications, and (4) indicators at the level of universities and main fields. The Leiden Ranking Open Edition 2024 is based on the <a href="https://docs.openalex.org/download-all-data/openalex-snapshot">OpenAlex snapshot</a> released on August 30, 2024. The snapshot data is not included in this data set. The source code for creating this data set is available in <a href="https://github.com/CWTSLeiden/CWTS-Leiden-Ranking-Open-Edition">this GitHub repository</a>. See this blog post for more information about the Leiden Ranking Open Edition 2024.   This data set consists of the following tab-delimited files.   university <ul> <li>university_id</li> <li>university</li> <li>university_full_name</li> <li>ror_id</li> <li>ror_name</li> <li>country_code</li> <li>latitude</li> <li>longitude</li> <li>is_mtor_university</li> </ul>   affiliated_organization <ul> <li>ror_id</li> <li>ror_name</li> </ul>   university_affiliated_organization <ul> <li>university_ror_id</li> <li>relation_type</li> <li>affiliated_organization_ror_id</li> <li>affiliated_organization_weight</li> </ul>   main_field <ul> <li>main_field_id</li> <li>main_field</li> </ul>   pub <ul> <li>work_id</li> <li>doi</li> <li>pub_year</li> <li>micro_cluster_id</li> </ul>   pub_university <ul> <li>work_id</li> <li>university_id</li> <li>weight</li> </ul>   pub_main_field <ul> <li>work_id</li> <li>main_field_id</li> <li>weight</li> </ul>   period <ul> <li>period_begin_year</li> <li>period_end_year</li> <li>period</li> </ul>   pub_period_impact_indicators <ul> <li>work_id</li> <li>period_begin_year</li> <li>cs</li> <li>ncs</li> <li>p_top_1</li> <li>p_top_5</li> <li>p_top_10</li> <li>p_top_50</li> </ul>   pub_collab_indicators <ul> <li>work_id</li> <li>p_collab</li> <li>p_int_collab</li> <li>p_industry</li> <li>p_short_dist_collab</li> <li>p_long_dist_collab</li> </ul>   pub_oa_indicators <ul> <li>work_id</li> <li>p_oa_unknown</li> <li>p_oa</li> <li>p_gold_oa</li> <li>p_hybrid_oa</li> <li>p_bonze_oa</li> <li>p_green_oa</li> </ul>   university_main_field_period_impact_indicators <ul> <li>university_id</li> <li>main_field_id</li> <li>period_begin_year</li> <li>fractional_counting</li> <li>p</li> <li>tcs</li> <li>tncs</li> <li>p_top_1</li> <li>p_top_5</li> <li>p_top_10</li> <li>p_top_50</li> <li>mcs</li> <li>mcs_lb</li> <li>mcs_ub</li> <li>mncs</li> <li>mncs_lb</li> <li>mncs_ub</li> <li>pp_top_1</li> <li>pp_top_1_lb</li> <li>pp_top_1_ub</li> <li>pp_top_5</li> <li>pp_top_5_lb</li> <li>pp_top_5_ub</li> <li>pp_top_10</li> <li>pp_top_10_lb</li> <li>pp_top_10_ub</li> <li>pp_top_50</li> <li>pp_top_50_lb</li> <li>pp_top_50_ub</li> </ul>   university_main_field_period_collab_indicators <ul> <li>university_id</li> <li>main_field_id</li> <li>period_begin_year</li> <li>p</li> <li>p_collab</li> <li>p_int_collab</li> <li>p_industry_collab</li> <li>p_short_dist_collab</li> <li>p_long_dist_collab</li> <li>pp_collab</li> <li>pp_collab_lb</li> <li>pp_collab_ub</li> <li>pp_int_collab</li> <li>pp_int_collab_lb</li> <li>pp_int_collab_ub</li> <li>pp_industry_collab</li> <li>pp_industry_collab_lb</li> <li>pp_industry_collab_ub</li> <li>pp_short_dist_collab</li> <li>pp_short_dist_collab_lb</li> <li>pp_short_dist_collab_ub</li> <li>pp_long_dist_collab</li> <li>pp_long_dist_collab_lb</li> <li>pp_long_dist_collab_ub</li> </ul>   university_main_field_period_oa_indicators <ul> <li>university_id</li> <li>main_field_id</li> <li>period_begin_year</li> <li>p</li> <li>p_oa_unknown</li> <li>p_oa</li> <li>p_gold_oa</li> <li>p_hybrid_oa</li> <li>p_bronze_oa</li> <li>p_green_oa</li> <li>pp_oa_unknown</li> <li>pp_oa_unknown_lb</li> <li>pp_oa_unknown_ub</li> <li>pp_oa</li> <li>pp_oa_lb</li> <li>pp_oa_ub</li> <li>pp_gold_oa</li> <li>pp_gold_oa_lb</li> <li>pp_gold_oa_ub</li> <li>pp_hybrid_oa</li> <li>pp_hybrid_oa_lb</li> <li>pp_hybrid_oa_ub</li> <li>pp_bronze_oa</li> <li>pp_bronze_oa_lb</li> <li>pp_bronze_oa_ub</li> <li>pp_green_oa</li> <li>pp_green_oa_lb</li> <li>pp_green_oa_ub</li> </ul>

opencc-zeroOct 2024View details →

zenodo36/100

Raw images, video, and data file for the manuscript "Fabrication of Low-Cost, High-Resolution Open Capillary Microfluidics towards Self-Sustaining, Long-Term Hydration of Engineered Living Materials"

This dataset includes the raw images and data file in the manuscript "Fabrication of Low-Cost, High-Resolution Open Capillary Microfluidics towards Self-Sustaining, Long-Term Hydration of Engineered Living Materials", specifically: <ul> <li>Raw images for the optimized print with the PEGDA-glycerol-water resin (Figure 2 & Figure S2)</li> <li>Raw images for the optimized print with the PEGDA-glycerol-LB resin (Figure 2)</li> <li>Raw images for the optimized print with the BSA-PEGDA-water resin (Figure 3)</li> <li>Raw images and video for the spontaneous capillary flow of LB media in a PEGDA-glycerol-LB microfluidic chip (Figure 4)</li> <li>Raw data for the UV-vis spectrum of LB media (Figure S4)</li> </ul>

opencc-by-4.0Oct 2024View details →

zenodo36/100

ACROSS WP5 Combustor Pilot Open Data

Evolution of reactive aerothermal fields in the U-THERM3D numerical simulations of FIRST combustor

openmit-licenseOct 2024View details →

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Open Government Data des Bundes auf GovData

Datensatz zu Auswertung der durch Stellen des Bundes auf dem Open-Data-Portal GovData (www.govdata.de) veröffentlichten Datensätze. Auswertung in: Herfurth, Anne; Lange, Felix: Transparenz bewahren. Open Government Data im Bundesarchiv. In: Becker, Irmgard Ch. u.a. [Hrsg.]:  Born digital – neue Archivaliengattungen und ihre Bearbeitung im Archiv. Beiträge zum 28. Archivwissenschaftlichen Kolloquium der Archivschule Marburg. Veröffentlichungen der Archivschule Marburg, Nr. 72.  Hochschule für Archivwissenschaft, 2025. S. 331-355. S.a. https://www.archivschule.de/DE/forschung/archivwissenschaftliche-kolloquien/28-archivwissenschaftliches-kolloquiumganz.html

opencc-by-4.0Nov 2024View details →

zenodo36/100

Data Matrix Theme-Specific Analysis of the Recommendation on Science and Scientific Researchers (RSSR): Open Access, Open Data, and Open Science

This Table sets out findings from the mapping exercise conducted as part of the objectives of subtask 6.1 of the RRING project. Aim: Alignment of RRI to advance the UN SDGs. Objectives: <ul> <li>Mapping the RSSR to the SDGs </li> </ul> Mapping the RSSR to the SDGs is aimed at providing new perspectives, ideas and approaches that can help to improve the operationalization and implementation of each SDG, by facilitating the integration of RRI (or RRI-like) practices in the SDGs, to make them more achievable. The impact of the new perspectives, ideas and approaches in SDG operationalization and implementation will be aimed at the level of national and international policy (making); future research and innovation projects (in industry and academia); as well as education and training of researchers, policy makers and other stakeholders. Two documents were used for this task: <ul> <li>2017 Recommendation on Science and Scientific Researchers ([RSSR], UNESCO), and</li> <li>the United Nations 2030 Agenda for Sustainable Development with the 17 Sustainable Development Goals (SDGs).</li> </ul>

opencc-by-4.0Jun 2021View details →

dryad36/100

Data from: An inexpensive and open-source method to study large terrestrial animal diet and behavior using time-lapse video and GPS

1. The behavior of free-ranging animals is difficult to study, especially on the large spatial and temporal scales relevant to long-lived large species. Animal-borne video and environmental data collection systems (AVEDs) record behavior and other data in real time as animals conduct daily activities. However, few studies have combined systematically collected, long term AVED foraging data with environmental and movement data to test hypotheses on animal foraging. Additionally, AVEDs are often either prohibitively expensive, or require extensive fabrication and programming knowledge. 2. The video and coordinate animal-mounted system (VACAMS) is an animal-mounted data collection system based on a modified GoPro® action camera platform that records short, first "person" perspective videos of animal behavior on an automated time-lapse schedule. As most videos are georeferenced, researchers can return to the locations of specific behaviors and collect accurate, fine-grained data on non-woody vegetation and other habitat characteristics that may influence animal behavior. Moreover, VACAMS are inexpensive and easy to use. 3. This study describes VACAMS preliminary data on cattle foraging and a hypothesis exploring free-ranging cattle browsing habits throughout the rainy season in the tropical dry forest of Sonora, Mexico. I generated a database of vegetation types consumed by cows each month (Annual, Woody, and Leaf litter) and compared actual vegetation type frequencies to a priori assumptions based on seasonal patterns of forage availability. During the monsoons, when palatable vegetation was abundant, frequencies of annual and woody perennial vegetation in cattle diets did not differ from month to month. When the rains ceased and palatable vegetation became scarce, cows switched to leaf litter, dead annual vegetation, twigs, and dried leguminous fruits. 4. Open source software and commercially available hardware make VACAMS financially attainable for many researchers, land managers, students, and other user groups. VACAMS could be used on a range of domestic and semi-domestic free-ranging animals, particularly in dense forests where conventional observations are impossible. With improvements to GPS battery life and durability, the weakest points of the system, VACAMS could also potentially apply to studies of other large terrestrial animals.

opencc-zeroDec 2018View details →

zenodo36/100

Coherent Electric Field Manipulation of Fe3+-spins in PbTiO3. Open data set

Data supporting figures 3 and 4 of the related publication.

opencc-by-4.0Mar 2021View details →

dryad36/100

Data from: Open notes sounds great, but will a provider's documentation change?

Background: The effects of shared clinical notes on patients, care partners, and clinicians ("open notes") were first studied as a demonstration project in 2010. Since then, multiple studies have shown clinicians agree shared progress notes are beneficial to patients, and patients and care partners report benefits from reading notes. To determine if implementing open notes at a hematology/oncology practice changed providers' documentation style, we assessed the length and readability of clinicians' notes before and after open notes implementation at an academic medical center in Boston, MA. Methods: We analyzed 143,888 notes from 60 hematology/oncology clinicians before and after the open notes debut at Beth Israel Deaconess Medical Center, from January 1, 2012, to September 1, 2016. We measured the providers' (medical doctor/nurse practitioner) documentation styles by analyzing character length, the number of addenda, note entry mode (dictated vs. typed) and note readability. Measurements used five different readability formulas and were assessed on notes written before and after the introduction of open notes on November 25, 2013. Results: After the introduction of open notes, the mean length of progress notes increased from 6,174 characters to 6,648 characters (P<0.001), and the mean character length of the "assessment and plan" (A&P) increased from 1,435 characters to 1,597 characters (P<0.001). The Average Grade Level Readability of progress notes decreased from 11.50 to 11.33, and overall readability improved by 0.17 (P=0.01). There were no statistically significant changes in the length or readability of "Initial Notes" or Letters, inter-doctor communication, nor in the modality of the recording of any kind of note. Conclusions: After the implementation of open notes, progress notes and A&P sections became both longer and easier to read. This suggests clinician documenters may be responding to the perceived pressures of a transparent medical records environment.

opencc-zeroJul 2021View details →

zenodo36/100

Quantum coherent spin-electric control in a molecular nanomagnet at clock transitions. Open data set

Data supporting the related publication.

opencc-by-4.0Aug 2021View details →

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Instance data: open-shop scheduling problems with any regular minsum objective

Open shop scheduling instances used in the working paper <ul> <li>Emde, S. & Lysgaard, J. (2021). Branch-cut-and-price for open-shop scheduling problems with any regular minsum objective.</li> </ul> The instances in file Brucker_instances.csv are based on the test data for the classic [O||Cmax] problem from Brucker, P., Hurink, J., Jurisch, B., & Wöstmann, B. (1997). A branch & bound algorithm for the open-shop problem. Discrete Applied Mathematics, 76(1-3), 43-59. They are enriched with release and due dates as well as machine-pair dependent transportation delays. The instances in file random_instances.csv are new. The files contain comma-separated values. Each line (except for the header) stands for one instance. The columns labels are: ID: label (identifier) of the instance n: number of jobs m: number of machines p: processing times; each square bracket stands for one machine, the values inside the brackets for the processing times of the jobs on the respective machine t: transfer times between machines; note that the dummy machine 0 where all jobs originate and end is the last machine, i.e., it  has the highest index r: release dates for each job d: due dates for each job. Mj: set of machines on which the jobs must be processed; each square bracket stands for one job, values inside the brackets for machine indices. Note that indices are zero-based. In instance set Brucker_instances.csv, every machine is visited by every job, therefore there is no column Mj. Conversely, due dates are immaterial for the random instances because of their quadratic completion time objective. Hence, they are omitted from the table.

opencc-by-4.0Aug 2021View details →

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A Systematic Mapping of the Classification of Open Educational Resources for Computer Science Education in Digital Sources (Data)

Data from a Systematic Mapping of the classification of Open Educational Resources for Computer Science Education. Content: <ul> <li>Studies selected</li> <li>Digital sources used to classify Open Educational Resources for Computer Science Education</li> <li>Computer Science domains explored by Open Educational Resources</li> <li>Approaches for the classification of Open Educational Resources for Computer Science Education</li> </ul>

opencc-by-4.0Sep 2021View details →

zenodo36/100

Dataset relating the Social activity of Open Research Data on ResearchGate

The potential of Open Research Data (ORD) within the context of open science and digital scholarship can be frustrated if data remains unused. Although current research has investigated the way ORD is being published,  researchers’ behaviour of ORD publishing and sharing on academic social networks (ASN) remains insufficiently explored. The research to which this dataset is connected aims to illustrate some parameters of social activity around self-archived ORDs on ResearchGate. The study analyses whether the ORDs publication leads to social activity (reads and citations) around the ORDs and their linked published articles, including eventual associations between the social activity and the researchers’ profile (scientific domain, gender, region, professional position, reputation) as well as the quality of the ORD published. The current dataset is composed by: A- The .csv file, extracted as a random sample of 752 ORD items from ResearchGate. The dataset has been polished and anonymized. The variables relating the researchers' profiles and citations to the ORD lined research were got from the researchers' profiles and published research. However, for the purpose of anonymisation, these variables have been coded and the original information removed. B- The codebook explaining the variables and metrics contained in the file (A) C- The R script. This script contains a number of explorations not reported in the final paper. The quantitative techniques applied include descriptive statistics, logistic regression and K-means cluster analysis. D- Five tables, three figures and two annexes (Logistic Regression I and II) created over the basis of the dataset (A) The results have been interpreted in terms of three main aspects. <ul> <li>Firstly, there is still an underdeveloped social activity around self-archived ORD in ResearchGate (operationalized as reads and citations) overall and in spite of the published ORDs quality.</li> <li>Secondly, it was found an uncovering of the relevance of the moderating effects over ORD, which spots traditional dynamics within the “innovative” practice of engaging with data practices.</li> <li>Thirdly, a rather similar situation of ResearchGate as ASN with regard to other data platforms and repositories in terms of social activity around ORD was detected.</li> </ul> The potential of Open Research Data (ORD) within the context of open science and digital scholarship can be frustrated if data remains unused.

openDec 2019View details →

zenodo36/100

IPBES Global Assessment in Linked Open Data format

This dataset contains the Thematic Assessment Report on Invasive Alien Species and their Control of the Intergovernmental Science-Policy Platform on Biodiversity and Ecosystem Services in linked open data format. The structure of the file follows the IPBES ontology version 06: <a href="https://github.com/IPBES-Data/IPBES_Ontology">https://github.com/IPBES-Data/IPBES_Ontology</a> The report is published in 2019 and consists of 6 chapters and a Summary for Policy Makers. For more information about the report, see: <a href="https://www.ipbes.net/global-assessment">https://www.ipbes.net/global-assessment</a> For any questions and enquiries, please contact the IPBES Data and Knowledge Unit <a href="mailto:aidin.niamir@senckenberg.de">aidin.niamir@senckenberg.de</a>

opencc-by-4.0Apr 2024View details →

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Reported funding data for open infrastructure

Reported funding data for open infrastructure projects, focused primarily on the services in the <a href="https://investinopen.org/blog/funding-open-infrastructure-a-survey-of-available-data-sources/">pilot for Invest in Open Infrastructure's funding landscape research</a>, as well as other notable providers in the SCOMCat index.

opencc-zeroOct 2022View details →

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Open Data_Remedial trial of sequential anoxic_oxic chemico_biological treatment for decontamination of extreme hexachlorocyclohexane concentrations in polluted soil

Open data sheet used for the preparation of the publication "Remedial trial of sequential anoxic/oxic chemico-biological treatment for decontamination of extreme hexachlorocyclohexane concentrations in polluted soil" containing graphs and other data

opencc-by-4.0Nov 2022View details →

zenodo36/100

Research Workflows and Open Science - Data Set

Data set accompanying the report "Research Workflows and Open Science", a systematic study of open science research workflows. The data set summarises the open science characteristics exhibited by the analysed workflows. The first two columns ‘workflow ID’ and ‘URL’ are dedicated to the ID we used to identify each workflow and to the publications related to the workflows respectively. The remaining columns are dedicated to the characteristics exhibited by the analysed workflows and are named The remaining columns are dedicated to the characteristics exhibited by the analysed workflows and are named following the different categories identified: <ul> <li> 'used/open science infrastructure/virtual' <ul> <li> If a workflow relies on a virtual open infrastructure (yes/no) </li> </ul> </li> <li> 'used/open science infrastructure/physical' <ul> <li> If a workflow relies on a physical open infrastructure (yes/no) </li> </ul> </li> <li> 'used/open scientific knowledge/open source software' <ul> <li> If a workflow relies on open source software (yes/no) </li> </ul> </li> <li> 'used/open scientific knowledge/open hardware' <ul> <li> If a workflow relies on open hardware (yes/no) </li> </ul> </li> <li> 'used/open scientific knowledge/open research data' <ul> <li> If a workflow (re)uses open research data (yes/no) </li> </ul> </li> <li> 'used/open scientific knowledge/open educational resources' <ul> <li> If a workflow (re)uses open educational resources (yes/no) </li> </ul> </li> <li> 'produced/open scientific knowledge/(open access) scientific publication' <ul> <li> If a workflow envisages the release of a scientific publication (e.g. papers, reports, data management plans, preprints, study designs) under an open access licence (yes/no) </li> </ul> </li> <li> 'produced/open scientific knowledge/open source software' <ul> <li> If a workflow envisages the release of software (e.g. code, analysis scripts) under an open access licence (yes/no) </li> </ul> </li> <li> 'produced/open scientific knowledge/open research data' <ul> <li> If a workflow envisages the release of open research data (yes/no) </li> </ul> </li> <li> 'produced/open scientific knowledge/open educational resources' <ul> <li> If a workflow envisages the release of open educational resources (yes/no) </li> </ul> </li> <li> 'transparency/transparency type' <ul> <li> degree of transparency of a workflow, defined in terms of which research products are openly shared and when in order to document the research processes (‘built-in’ if transparent, ‘enabled’ if capable of being transparent, ‘opaque’ otherwise) </li> </ul> </li> <li> 'transparency/sharing type' <ul> <li> workflow categories based on when the research products are shared (‘end’ for sharing at the end of the workflow, mixed for sharing part of the research products during the workflow and the rest at the end of it, ‘iterative’ for sharing iteratively during or at the end of the related workflow phase, and ‘user-dependent’, where it is ultimately up to the researcher to decide when to share the research products since the workflow offers different paths to follow while imposing no sharing constraint.) </li> </ul> </li> <li> 'collaboration/collaboration implementation' <ul> <li> If a workflow implements collaborative practices (yes/no) </li> </ul> </li> <li> 'collaboration/open engagement of societal actors/crowdfunding' <ul> <li> If a workflow envisages crowdfunding (yes/no) </li> </ul> </li> <li> 'collaboration/open engagement of societal actors/crowdsourcing' <ul> <li> If a workflow envisages crowdsourcing (yes/no) </li> </ul> </li> <li> 'collaboration/open engagement of societal actors/scientific volunteering' <ul> <li> If a workflow envisages scientific volunteering (yes/no) </li> </ul> </li> <li> 'collaboration/open engagement of societal actors/citizen and participatory science' <ul> <li> If a workflow envisages citizen and participatory science (yes/no) </li> </ul> </li> <li> 'collaboration/open dialogue with other knowledge systems/indigenous peoples' <ul> <li> If a workflow envisages the establishment of a dialogue with indigenous peoples (yes/no) </li> </ul> </li> <li> 'collaboration/open dialogue with other knowledge systems/marginalised scholars' <ul> <li> If a workflow envisages the establishment of a dialogue with marginalised scholars (yes/no) </li> </ul> </li> <li> 'collaboration/open dialogue with other knowledge systems/local communities' <ul> <li> If a workflow envisages the establishment of a dialogue with local communities (yes/no) </li> </ul> </li> <li> 'assessment' <ul> <li> If a workflow implements assessment processes for the evaluation of the research products created (yes/no) </li> </ul> </li> <li> 'automation' <ul> <li> If a workflow includes automated processes (yes/no) </li> </ul> </li> </ul>

opencc-by-4.0Dec 2021View details →

zenodo36/100

A New Open-source Geomagnetosphere Propagation Tool (OTSO) and its Applications - Data

Data files for the computations done with OTSO for the asymptotic cones and effective cut-off rigidities for several neutron monitor stations during three ground-level enhancement events (GLE 66, 70, 71). The computations for GLE 66 and 71 were done using three external geomagnetic field models (TSY89, TSY96, TSY01). Data for the global map of effective cut-off rigidities during GLE70 is also included. Data is in CSV format.

opencc-by-4.0Nov 2022View details →

zenodo36/100

Data for study "'Conditional Acceptance' (additional experiments required): A scoping review of recent evidence on key aspects of Open Peer Review"

Dataset for study "‘Conditional Acceptance’ (additional experiments required): A scoping review of recent evidence on key aspects of Open Peer Review", 2022 preprint by Tony Ross-Hellauer and Serge Horbach. Dataset includes excel file with 10 sheets showing systematic literature search (per PRISMA-SCR protocol) of academic databases (Web of Science, Scopus), snowballing and web-search to identify 52 studies on key aspects of Open Peer Review published from Jan 2017 until May 2022. Study Abstract: Diverse efforts are underway to reform the journal peer review system. Combined with growing interest in Open Science practices, Open Peer Review (OPR) has become of central concern to the scholarly community. However, what Open Peer Review is understood to encompass and how effective some of its elements are in meeting the expectations of the peer review system, are uncertain. This scoping review updates previous efforts to summarise research on OPR to date. Following the PRISMA methodological framework, it addresses the question: “What evidence has been reported in the scientific literature from 2017 to date regarding uptake, attitudes, and efficacy of two key aspects of Open Peer Review (Open Identities and Open Reports)?” The review identifies, analyses and synthesises 52 studies matching inclusion criteria, finding that OPR is growing, but still far from common practice. Our findings indicate positive attitudes towards Open Reports and more sceptical approaches to Open Identities. Changes in reviewer behaviour seem limited. and no evidence for lower acceptance rates of review invitations or slower turnaround times is reported. Concerns about power dynamics and potential backfiring on critical reviews are in need of further experimentation. We conclude that elements of OPR seem to be gaining acceptance, but more experimentation is needed. Evidence still mainly consists of either survey data or case studies of individual or few journals, not allowing for generalisability across fields and journals, and revealing no studies which compare the quality of review under Open Identities or Open Reports versus other modes of peer review.

opencc-by-4.0Dec 2022View details →

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Private vehicles greenhouse gas emissions at street level for Berlin based on open data

We estimated the annual average daily GHG emissions from individual motor traffic for the OSM road network in Berlin by combining the estimated Annual Average Daily Traffic Volume (AADTV) with respective emission factors. The AADTV was calculated by simulating car trips with the open routing engine Openrouteservice, weighted by activity functions based on statistics of the German Mobility Panel.

opencc-by-4.0Jan 2023View details →

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WorldCereal open global harmonized reference data repository (CC-BY-NC licensed data sets)

Within the ESA funded WorldCereal project we have built an open harmonized reference data repository at global extent for model training or product validation in support of land cover and crop type mapping. Data from 2017 onwards were collected from many different sources and then harmonized, annotated and evaluated. These steps are explained in the harmonization protocol (10.5281/zenodo.7584463). This protocol also clarifies the naming convention of the shape files and the WorldCereal attributes (LC, CT, IRR, valtime and sampleID) that were added to the original data sets. This publication includes those harmonized data sets of which the original data set was published under the CC-BY-NC license or a license similar to CC-BY-NC. See document "_In-situ-data-World-Cereal - license - CC-BY-NC.pdf" for an overview of the original data sets. Currently this publication only includes a few small data sets for Tanzania originating from a disease monitoring program of the International Maize and Wheat Improvement Center (CIMMYT). CIMMYT made more data available for countries like Kenya, Ethiopia, Rwanda and, Malawi. However due project contraints these data sets were not yet harmonized.

opencc-by-nc-4.0Dec 2022View details →

ScienceDex guides

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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.

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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.

allen-brain-atlas

neuroscienceopenDocumentation, web resources, and API references are available online.

Last verified 2026-04-30Open record

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.

abode-home-cage

behavioral-neuroscienceopenThe DataShare record exposes download links for annotations, documentation, license text, and the zipped per-snippet data directory.

Last verified 2026-04-30Open record

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.

dandi-nwb

electrophysiologyopenPublished Dandiset metadata and archive endpoints are available through the production DANDI API.

Last verified 2026-04-30Open record

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.

ibl

behavioral-neuroscienceopenPublic sessions can be searched and loaded from the IBL public data server through ONE.

Last verified 2026-04-29Open record

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.

openneuro

neuroscienceopenPublished datasets are available on demand over the internet.

Last verified 2026-04-29Open record