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8,537 results for “Openness”

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zenodo28/100

Open data for cell culture

Open the record for dataset details and reuse information.

opencc-by-4.0May 2024View details →
zenodo28/100

ANAC Open Data (2007 - 2023)

<p>Autorit&agrave; Nazionale AntiCorruzione (ANAC) Open Data Catalogue (https://dati.anticorruzione.it/opendata).</p>

opencc-by-4.0Jun 2024View details →
zenodo28/100

Data underlying research paper "Exploring potential contributions of open data intermediaries"

<p>This folder contains data underlying the research paper &ldquo;Exploring the Contributions of Open Data Intermediaries for a Sustainable Open Data Ecosystem&rdquo;. The research is about open data ecosystem and the role of open data intermediaries. <strong>The folder consists of 4 items</strong>:</p> <p>1.&nbsp;&nbsp;&nbsp;&nbsp;Tentative interview questions (.pdf and .odt formats)</p> <p>2.&nbsp;&nbsp;&nbsp;&nbsp;Informed consent form template (for verbal interview &amp; written interview) (.pdf and .odt formats)</p> <p>3.&nbsp;&nbsp;&nbsp;&nbsp;De-identified interview transcripts (.pdf and .odt formats)</p> <p>4.&nbsp;&nbsp;&nbsp;&nbsp;Coding results (.pdf and .ods formats)</p> <p>&nbsp;</p> <p><strong>Note about the tentative interview questions:</strong></p> <p>The interviews were conducted between May and July 2023 based on the semi-structured approach. We customise the tentative interview questions accordingly for each interview and share them with the interviewees in advance (for the majority, at least three working days in advance). As semi-structured interviews, the ultimate interview questions may differ from the tentative questions based on the information provided by the interviewees and time constraints (refer to item #3).</p> <p>&nbsp;</p> <p><strong>Note about the informed consent form:</strong></p> <p>We sent the informed consent form to every interviewee in advance and requested them to return it to us before the interview. The consent form has been reviewed by TU Delft's Human Research Ethics Committee (HREC).</p> <p>&nbsp;</p> <p><strong>Note about the de-identified interview transcripts (and coding results):</strong></p> <p><u>The de-identified interview transcripts should be read in the context of the research on open data ecosystem and the role of open data intermediaries.</u>&nbsp;We removed personally identifiable information from the transcripts. A few interviewees may risk being identifiable if their organisation is known. Hence, we removed the identification of the organisation and country in all transcripts. Partially disclosing the organisation or country for some transcripts increases the risks of identifying the non-disclosed transcripts. With verbal communication, some sentences may be less incomprehensible in writing. Thus, we did minimal edits when transcribing to improve the comprehensibility where necessary, but the main objective was to keep the transcript as close to verbatim as possible. All interviewees whose interview transcripts are recorded in this document give permission for the anonymised transcript of their interview, with personally identifiable information redacted, to be shared in 4TU.ResearchData repository so it can be used for future research and learning.</p> <p>&nbsp;</p> <p><strong>Acknowledgement:</strong></p> <p>This project has received funding from the European Union&rsquo;s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No 955569. The opinions expressed in this document reflect only the author&rsquo;s view and in no way reflect the European Commission&rsquo;s opinions. The European Commission is not responsible for any use that may be made of the information it contains.</p>

opencc-by-nc-nd-4.0Mar 2024View details →
zenodo28/100

Open Hardware Tribometer "Tribofish"

<p>The data set contains all the CAD models, codes and construction plans required to build the open hardware tribometer kit "tribofish" published for the first time in the scientific journal "Wear". The contribution to this dataset is available under the folowing link: https://doi.org/10.1016/j.wear.2024.205437</p>

opencc-by-nc-4.0Jun 2024View details →
zenodo28/100

Dataset: Opendoor Technologies Inc. (OPEN) Stock Performance

This dataset provides historical stock market performance data for specific companies. It enables users to analyze and understand the past trends and fluctuations in stock prices over time. This information can be utilized for various purposes such as investment analysis, financial research, and market trend forecasting.

opencc-zeroJun 2024View details →
zenodo28/100

Computer Science Students Perceptions Regarding AI Open-Source Repositories Replication Package

Open the record for dataset details and reuse information.

opencc-by-4.0Jul 2024View details →
zenodo28/100

Fostering Sustainability and Citizen Empowerment through Open Manufacturing_anonymous data

Open the record for dataset details and reuse information.

opencc-by-4.0Jul 2024View details →
zenodo28/100

Aisa 1st annual conference "Nostra res agitur: open science as a social question" [section 3]

<p>Video degli interventi della mattina del 23 ottobre 2015, secondo l'ordine seguente: Introduzione (0:00:00-0:02:08). La ricerca fra filosofia, politica e diritto: A. Cerroni (0:02:09-0:28:51); M.C. Pievatolo (0:30:15-0:52:59); P. Galimberti (0:53:54-1:08.24); V. Moscon (1:09:36-1:34:01).Dati aperti, archivi istituzionali: E. Giglia (1:35:02-1:52:30) F. Di Donato (1:54:49-2:12.59); T. Margoni(2.13.46-2.35.19); G. Benedetti (2:36:55-2:54:23). Chiusura (2:54:24-3:00:50) La registrazione &egrave; stata curata dal Team Elearning ed Eventi del Centro Serra dell'universit&agrave; di Pisa.</p>

opencc-by-4.0Nov 2015View details →
zenodo28/100

Data from "SynBot: An open-source image analysis software for automated quantification of synapses"

<p>Primary image datasets and associated tables from the paper "SynBot: An open-source image analysis software for automated quantification of synapses".&nbsp;</p>

opencc-by-4.0Jun 2024View details →
zenodo28/100

FIGURE 1. A in DigApp and TaphonomApp: Two new open-access palaeontological and archaeological mobile apps

FIGURE 1. A, DigApp Online "Home" screen. B, DigApp Online "New Specimen" screen. C, DigApp Online "View Specimens" screen.

opencc-by-4.0Dec 2020View details →
zenodo28/100

Fig. 1 in Battus polydamas (Lepidoptera: Papilionidae) uses the open-field Aristolochia sessilifolia (Piperales: Aristolochiaceae) as its host plant in Uruguayan savanna areas

Fig. 1. Consensus species distributions obtained by an ensemble forecasting of models consisting of 5 algorithms (Bioclim, Malahanobis Distance, MaxEnt, GARP, and SVM) using environmental data from occurrence points of (A) Battus polydamas and (B) Aristolochia sessilifolia.

opencc-by-4.0Jun 2015View details →
zenodo28/100

Artifact for Rust for Embedded Systems: Current State and Open Problems

Open the record for dataset details and reuse information.

opencc-by-4.0Jul 2024View details →
zenodo28/100

◂Fig. 5 Cells of phylogenetically related strains (light microscopy). a Thecate cell in dorsal view. b Thecate cell in ventral view, note the sulcus extending onto the epitheca (arrow). c Putatively necrotic, thecate cell. d Thecate cell with one bulge on the epitheca (arrow), note that this was the only such cell among thousands of inspected cells. e, f Coccoid cells, apparently without thecae. g Two thecate cells enclosed in the parental theca. h Two connected, immotile cells enclosed in the parental thecae. j Lid of epitheca in dorsal-apical view (mirrored), composed of plates 2′‒4′, all intercalary plates and plates 2′′‒6′′. l‒m Same opened theca in ventral view (l) and dorsal view (m), note the sulcus extending onto the epitheca (arrow), the dorsal opening and all apical and all intercalary plates and plates 3′′‒5′′ remaining with the hypotheca. n Chloroplasts (as inferred from autofluorescence), note the space occupied by the nucleus. Plate labelling follows the Kofoidean notation, n′: apical plate; n′′: precingular plate; n′′′: postcingular plate; na: anterior intercalary plate. Scale= 10 µm in Bumps on the back: An unusual morphology in phylogenetically distinct Peridinium aff. cinctum (= Peridinium tuberosum; Peridiniales, Dinophyceae)

◂Fig. 5 Cells of phylogenetically related strains (light microscopy). a Thecate cell in dorsal view. b Thecate cell in ventral view, note the sulcus extending onto the epitheca (arrow). c Putatively necrotic, thecate cell. d Thecate cell with one bulge on the epitheca (arrow), note that this was the only such cell among thousands of inspected cells. e, f Coccoid cells, apparently without thecae. g Two thecate cells enclosed in the parental theca. h Two connected, immotile cells enclosed in the parental thecae. j Lid of epitheca in dorsal-apical view (mirrored), composed of plates 2′‒4′, all intercalary plates and plates 2′′‒6′′. l‒m Same opened theca in ventral view (l) and dorsal view (m), note the sulcus extending onto the epitheca (arrow), the dorsal opening and all apical and all intercalary plates and plates 3′′‒5′′ remaining with the hypotheca. n Chloroplasts (as inferred from autofluorescence), note the space occupied by the nucleus. Plate labelling follows the Kofoidean notation, n′: apical plate; n′′: precingular plate; n′′′: postcingular plate; na: anterior intercalary plate. Scale= 10 µm

opencc-by-4.0Jan 2024View details →
zenodo28/100

Figure 3 from: Minelli A, Oggioni A, Pugnetti A, Sarretta A, Bastianini M, Bergami C, Bernardi Aubry F, Camatti E, Scovacricchi T, Socal G (2018) The project EcoNAOS: vision and practice towards an open approach in the Northern Adriatic Sea ecological observatory. Research Ideas and Outcomes 4: e24224. https://doi.org/10.3897/rio.4.e24224

Figure 3 The spiral model - an open research lifecycle involves sharing of each step of the process, including not only scientific papers but also research ideas, data (raw and processed), metadata, methods, software (Minelli et al. 2017).

opencc-by-4.0Apr 2018View details →
zenodo28/100

Figure 4a from: Minelli A, Oggioni A, Pugnetti A, Sarretta A, Bastianini M, Bergami C, Bernardi Aubry F, Camatti E, Scovacricchi T, Socal G (2018) The project EcoNAOS: vision and practice towards an open approach in the Northern Adriatic Sea ecological observatory. Research Ideas and Outcomes 4: e24224. https://doi.org/10.3897/rio.4.e24224

Figure 4a An extract from data collected since 1965 to today in the NAS. - snapshot of the organization of the main table of data

opencc-by-4.0Apr 2018View details →
zenodo28/100

Figure 1 from: Minelli A, Oggioni A, Pugnetti A, Sarretta A, Bastianini M, Bergami C, Bernardi Aubry F, Camatti E, Scovacricchi T, Socal G (2018) The project EcoNAOS: vision and practice towards an open approach in the Northern Adriatic Sea ecological observatory. Research Ideas and Outcomes 4: e24224. https://doi.org/10.3897/rio.4.e24224

Figure 1 The LTER-Italy parent site "Northern Adriatic Sea". The four research sites that compose it, together with the fixed point observatories, are evidenced. 1: Gulf of Trieste and Mambo buoy, 2: Gulf of Venice and Acqua Alta Tower, 3: Po Delta and Romagna Coast and S1-GB and E1 buoys, 4: Senigallia-Susak Transect and TeleSenigallia Pylon (Minelli et al. 2018)

opencc-by-4.0Apr 2018View details →
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Figure 4c from: Minelli A, Oggioni A, Pugnetti A, Sarretta A, Bastianini M, Bergami C, Bernardi Aubry F, Camatti E, Scovacricchi T, Socal G (2018) The project EcoNAOS: vision and practice towards an open approach in the Northern Adriatic Sea ecological observatory. Research Ideas and Outcomes 4: e24224. https://doi.org/10.3897/rio.4.e24224

Figure 4c An extract from data collected since 1965 to today in the NAS. - 3D visualization of data from the viewpoint in b: the yellow grid represents the sea level, each set of vertical points represents more samplings relying on the same (X, Y) coordinates but at different depths (Z)

opencc-by-4.0Apr 2018View details →
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Figure 4b from: Minelli A, Oggioni A, Pugnetti A, Sarretta A, Bastianini M, Bergami C, Bernardi Aubry F, Camatti E, Scovacricchi T, Socal G (2018) The project EcoNAOS: vision and practice towards an open approach in the Northern Adriatic Sea ecological observatory. Research Ideas and Outcomes 4: e24224. https://doi.org/10.3897/rio.4.e24224

Figure 4b An extract from data collected since 1965 to today in the NAS. - 2D visualization of custom sampling stations (used from 1965 to 1990, before GPS advent) and real sampling points (until 2015)

opencc-by-4.0Apr 2018View details →
zenodo28/100

Supplementary Data: Code, Input Data and Model data: PyPSA-Eur: An Open Optimisation Model of the European Transmission System

<p>Supplementary Data (preliminary version)</p> <p>PyPSA-Eur: An Open Optimisation Model of the European Transmission System</p> <p>Authors: J. H&ouml;rsch, F. Hofmann, D. Schlachtberger,&nbsp;T. Brown</p> <p>and</p> <p>The role of spatial scale in joint optimisations of generation and transmission for European highly renewable scenarios</p> <p>Authors: J. H&ouml;rsch, T. Brown</p> <p>The files in this record contain the scripts to build a <a href="http://pypsa.org/">PyPSA</a> model of the European Electricity System including renewable feed-in from wind, solar and hydro installations derived from reanalysis weather data satellite irradiation.&nbsp;The model PyPSA-Eur is&nbsp;described in the above publication.</p> <p><strong>Scripts</strong></p> <p>To use the scripts, you need the following free software Python libraries:</p> <ul> <li><a href="https://github.com/PyPSA/PyPSA">PyPSA</a>&nbsp;for the modelling framework</li> <li><a href="https://github.com/FRESNA/vresutils">vresutils</a>&nbsp;for various helper functions to build the model instance</li> <li><a href="https://github.com/FRESNA/atlite">atlite</a>&nbsp;to process weather data into power system data</li> <li><a href="https://snakemake.readthedocs.io/en/latest/">snakemake</a>&nbsp;to organise the execution of the software</li> </ul> <p>and other standard libraries from the&nbsp;<a href="https://pypi.python.org/pypi">Python Package Index</a>&nbsp;(PyPI), such as pandas, pyomo, countrycode, etc.</p> <p>snakemake requires that all code runs with Python version 3. The code setup is known to work with the following versions: PyPSA 0.12.0, pandas 0.21.1, numpy 0.14.0, scipy 0.19.1, pyomo 5.2. You may need to downgrade your libraries to these versions for the scripts to work.</p> <p>The Python scripts in this repository (in the directory scripts/) are released under the&nbsp;<a href="https://www.gnu.org/licenses/gpl-3.0.en.html">GNU General Public Licence Version 3.0</a>&nbsp;(GPL 3.0).</p> <p>The scripts build_*.py process all raw input data into a form where it can be used in the model.</p> <p>base_network.py creates the initial PyPSA network topology.</p> <p>add_electricity.py adds generators and storage units to the models, it generates the detailed resolved model described in the PyPSA-Eur paper.</p> <p>simplify_network.py removes stub ac-buses from network topology and simplifies long dc lines.</p> <p>cluster_network.py creates clustered representations of the electricity network for a given number of buses following the topology described in the &quot;spatial scale&quot; paper.</p> <p>prepare_network.py adds parameters like the CO2 limit and the transmission expansion volume relevant for the optimization to the model.</p> <p>All scripts are managed with the&nbsp;<a href="http://snakemake.readthedocs.io/en/latest/">snakemake</a>&nbsp;workflow management tool.</p> <p>To run the scripts, adjust the parameters in config.yaml and cluster.yaml to your local configuration. Then&nbsp;simply execute</p> <pre><code>snakemake</code></pre> <p>for the rule you want to run.</p> <p><strong>Data</strong></p> <p>The input data include:</p> <ul> <li>Electricity sector data</li> <li>Topology derived from the analysis of an extract of the <a href="https://www.entsoe.eu/data/map/">ENTSO-E online map</a> using&nbsp;<a href="https://github.com/bdw/GridKit">GridKit</a>&nbsp;.</li> <li>A cost database with literature sources.</li> </ul> <p>&nbsp;</p>

opencc-by-4.0May 2018View details →
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Figure 2 from: Erwin T, Stoev P, Penev L (2018) ZooKeys anniversary: 10 years of leadership toward open-access publishing of zoological data and establishment at Pensoft of like-minded sister journals across the biodiversity spectrum. ZooKeys 770: 1-8. https://doi.org/10.3897/zookeys.770.28105

Figure 2 New taxa published in ZooKeys, registered in ZooBank (courtesy of Richard Pyle; *until 27.6.2018).

opencc-by-4.0Jul 2018View details →

ScienceDex guides

Understand access before you commit

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

Compare curated 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.

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

ScienceDex for faculty

Your academic CV and NIH biosketch

Make your CV in your school's format and your NIH biosketch from it, then download both as Word files.