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zenodo32/100

Dataset for 'Assessing Golang Static Analysis Tools on Real-World Issues'

Go Linter Evaluation Dataset This is a publicly available dataset for 'An empirical evaluation of Golang static code analysis tools for real-world issues.' Please refer to the data according to the names of the spreadsheets. Authors: Jianwei Wu, James Clause Collected Survey Data: - This Excel file contains the collected survey data for the empirical study in details. R Scripts and Raw Data: - These scripts are used for data analysis and processing. - This is the initial data collected from surveys or other sources before any processing or analysis. Surveys for External Participants: - This Excel file contains survey data collected for the evaluation of Go linters. - This folder contains the surveys sent to external participants for collecting their feedback or data. Recruitment Letter.pdf: - This PDF contains an example of the recruitment letter sent to potential survey participants, inviting them to take part in the study. Outputs from Existing Go Linters and Summarized Categories.xlsx: - This Excel file contains outputs from various Go linters and categorized summaries of these outputs. It helps in comparing the performance and features of different linters. Selection of Go Linters.xlsx: - This Excel file lists the Go linters selected for evaluation, along with criteria or reasons for their selection. UD IRB Exempt Letter.pdf: - This PDF contains the Institutional Review Board (IRB) exemption letter from the University of Delaware (UD), indicating that the study involving human participants was exempt from full review. Survey Template.pdf: - This PDF contains an example of the survey sent to the participants. govet issues.pdf: - This PDF contains a list of reported issues about govet. Collected from various pull requests. Approved linters: - staticcheck gofmt govet revive gosec deadcode errcheck. Table 2.jpg: - A detailed figure to show the technical data in Table 2 of the paper. PR-summary-standalone: - This is the AI tool we used to summarize the content of pull requests. Readme file is avaliable in this folder.

opencc-by-4.0Oct 2024View details →

zenodo32/100

FIGURE 3 in Marine and freshwater fishes of Alabama: a revised checklist and discussion of taxonomic issues

FIGURE 3. Map of collections records for freshwater fishes ('F' designations; blue circles) vs. primarily marine fish species ('M' designations; red circles) known from Alabama based on our final combined database. Map extent, data layers, and physiographic features are the same as in Fig. 2 (see captions of Figs. 1 and 2 for additional details).

opennotspecifiedOct 2023View details →

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FIGURE 2 in Marine and freshwater fishes of Alabama: a revised checklist and discussion of taxonomic issues

FIGURE 2. Map of the study area and specimen records for marine and freshwater fishes of Alabama in the final combined database of FishNet2 and SEAMAP records collated herein. Boundaries of Alabama and neighboring states are shown (thin black and gray lines), and the background includes a 30 s-resolution digital elevation model from WorldClim v2.1 (Fick & Hijmans 2017) rendered in a continuous green-black palette with increasing elevation, as well as gray hill shade layers (shaded relief). The Fall Line (thick red line) and the outline of the Mobile River Basin (light gray shading) are shown for reference. Tick marks along figure margins are 1-degree graticules. Points (50% transparent black circles) represent n = 10,325 unique, georeferenced localities corresponding to fish collections and observations in our final combined database (see text and accompanying Mendeley Data accession for additional details; Bagley 2023).

opennotspecifiedOct 2023View details →

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Orthophoto & DEM (MNE) issues d'images drone, UAV, Nosy fanhy, Madagascar - 20230917 - 02_4

"Ce jeu de données présente les résultats des traitements photogrammétriques d'images de drone DJI Mavic 2 Pro UAV acquises sur le site de Nosy fanhy, Madagascar à la date suivante : 20230917. Les vols ont été réalisés en partenariat avec l'IH.SM dans le but de créer des modèles numériques d'élévations pour cartographier l'écosystème marin. Le paramétrage du logiciel OpenDroneMap est partagé pour permettre la reproductibilité ou l'amélioration des traitements proposés: [ { 'name': 'orthophoto-resolution', 'value': 1 }, { 'name': 'auto-boundary', 'value': true }, { 'name': 'dem-resolution', 'value': '2.0' }, { 'name': 'dsm', 'value': true } ] Le dépôt est composé des éléments suivants: - 00_: Planche d'aperçu des images - DCIM.zip: Images brutes issues du drone - GPS.zip: Geopackage contenant l'emprise du survol ainsi que la géolocalisation des images accompagnées de leurs miniatures dans la table d'attribut en base64 - METADATA.zip: Métadonnées au format ISO19115, Rapports avec miniatures des images de drone (dossier tb) et statistiques de vols. - PROCESSED_DATA.zip: Orthophoto, DEM, nuages de points, ... Arborescence d'origine: │ └─ 20230917_MDG-nosy-fanhy_UAV-02_4 │-------- └─ DCIM │-------- └─ GPS │-------- └─ METADATA │---------------- └─ tb │-------- └─ PROCESSED_DATA │-------- └─ VIDEO Informations de survol: - Camera model and parameters: Make: Hasselblad Model: L1D-20c Width: 5472 Height: 3648 Focal: 28 WhiteBalance: Manual ExposureMode: Auto Exposure ColoSpace: sRGB EV: -0.3 MeteringMode: CenterWeightedAverage Camera Pitch: -72.80 - Survey informations: No Images: 196 Median height: 34 meters Survey area: 25.61 hectares Survey from: 2023:09:17 11:37:05 to: 2023:09:17 11:45:00 "

opencc-by-4.0Oct 2023View details →

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Orthophoto & DEM (MNE) issues d'images drone, UAV, Nosy sakatia, Madagascar - 20230916 - 02_1

"Ce jeu de données présente les résultats des traitements photogrammétriques d'images de drone DJI Mavic 2 Pro UAV acquises sur le site de Nosy sakatia, Madagascar à la date suivante : 20230916. Les vols ont été réalisés en partenariat avec l'IH.SM dans le but de créer des modèles numériques d'élévations pour cartographier l'écosystème marin. Le paramétrage du logiciel OpenDroneMap est partagé pour permettre la reproductibilité ou l'amélioration des traitements proposés: [ { 'name': 'orthophoto-resolution', 'value': 1 }, { 'name': 'auto-boundary', 'value': true }, { 'name': 'dem-resolution', 'value': '2.0' }, { 'name': 'dsm', 'value': true } ] Le dépôt est composé des éléments suivants: - 00_: Planche d'aperçu des images - DCIM.zip: Images brutes issues du drone - GPS.zip: Geopackage contenant l'emprise du survol ainsi que la géolocalisation des images accompagnées de leurs miniatures dans la table d'attribut en base64 - METADATA.zip: Métadonnées au format ISO19115, Rapports avec miniatures des images de drone (dossier tb) et statistiques de vols. - PROCESSED_DATA.zip: Orthophoto, DEM, nuages de points, ... Arborescence d'origine: │ └─ 20230916_MDG-nosy-sakatia_UAV-02_1 │-------- └─ .ipynb_checkpoints │-------- └─ DCIM │-------- └─ GPS │-------- └─ METADATA │---------------- └─ tb │-------- └─ PROCESSED_DATA │-------- └─ VIDEO Informations de survol: - Camera model and parameters: Make: Hasselblad Model: L1D-20c Width: 5472 Height: 3648 Focal: 28 WhiteBalance: Manual ExposureMode: Auto Exposure ColoSpace: sRGB EV: -0.3 MeteringMode: CenterWeightedAverage Camera Pitch: -75.90 - Survey informations: No Images: 39 Median height: 90 meters Survey area: 9.63 hectares Survey from: 2023:09:16 07:06:50 to: 2023:09:16 07:14:10 "

opencc-by-4.0Oct 2023View details →

zenodo32/100

Orthophoto & DEM (MNE) issues d'images drone, UAV, Massif des roses, Madagascar - 20230507 - 02_2

"Ce jeu de données présente les résultats des traitements photogrammétriques d'images de drone DJI Mavic 2 Pro UAV acquises sur le site de Massif des roses, Madagascar à la date suivante : 20230507. Les vols ont été réalisés en partenariat avec l'IH.SM dans le but de créer des modèles numériques d'élévations pour cartographier l'écosystème marin. Le paramétrage du logiciel OpenDroneMap est partagé pour permettre la reproductibilité ou l'amélioration des traitements proposés: [ { 'name': 'orthophoto-resolution', 'value': 1 }, { 'name': 'auto-boundary', 'value': true }, { 'name': 'dem-resolution', 'value': '2.0' }, { 'name': 'dsm', 'value': true } ] Le dépôt est composé des éléments suivants: - 00_: Planche d'aperçu des images - DCIM.zip: Images brutes issues du drone - GPS.zip: Geopackage contenant l'emprise du survol ainsi que la géolocalisation des images accompagnées de leurs miniatures dans la table d'attribut en base64 - METADATA.zip: Métadonnées au format ISO19115, Rapports avec miniatures des images de drone (dossier tb) et statistiques de vols. - PROCESSED_DATA.zip: Orthophoto, DEM, nuages de points, ... Arborescence d'origine: │ └─ 20230507_MDG-massif-des-roses_UAV-02_2 │-------- └─ DCIM │-------- └─ GPS │-------- └─ METADATA │---------------- └─ tb │-------- └─ PROCESSED_DATA Informations de survol: - Camera model and parameters: Make: Hasselblad Model: L1D-20c Width: 5472 Height: 3648 Focal: 28 WhiteBalance: Manual ExposureMode: Auto Exposure ColoSpace: sRGB EV: -0.7 MeteringMode: CenterWeightedAverage Camera Pitch: -90.00 - Survey informations: No Images: 315 Median height: 35 meters Survey area: 2.65 hectares Survey from: 2023:05:07 13:08:39 to: 2023:05:07 13:20:31 "

opencc-by-4.0Oct 2023View details →

zenodo32/100

Orthophoto & DEM (MNE) issues d'images drone, UAV, Nosyve, Madagascar - 20230430 - 02_3

"Ce jeu de données présente les résultats des traitements photogrammétriques d'images de drone DJI Mavic 2 Pro UAV acquises sur le site de Nosyve, Madagascar à la date suivante : 20230430. Les vols ont été réalisés en partenariat avec l'IH.SM dans le but de créer des modèles numériques d'élévations pour cartographier l'écosystème marin. Le paramétrage du logiciel OpenDroneMap est partagé pour permettre la reproductibilité ou l'amélioration des traitements proposés: [ { 'name': 'orthophoto-resolution', 'value': 1 }, { 'name': 'auto-boundary', 'value': true }, { 'name': 'dem-resolution', 'value': '2.0' }, { 'name': 'dsm', 'value': true } ] Le dépôt est composé des éléments suivants: - 00_: Planche d'aperçu des images - DCIM.zip: Images brutes issues du drone - GPS.zip: Geopackage contenant l'emprise du survol ainsi que la géolocalisation des images accompagnées de leurs miniatures dans la table d'attribut en base64 - METADATA.zip: Métadonnées au format ISO19115, Rapports avec miniatures des images de drone (dossier tb) et statistiques de vols. - PROCESSED_DATA.zip: Orthophoto, DEM, nuages de points, ... Arborescence d'origine: │ └─ 20230430_MDG-nosyve_UAV-02_3 │-------- └─ DCIM │-------- └─ GPS │-------- └─ METADATA │---------------- └─ tb │-------- └─ PROCESSED_DATA Informations de survol: - Camera model and parameters: Make: Hasselblad Model: L1D-20c Width: 5472 Height: 3648 Focal: 28 WhiteBalance: Manual ExposureMode: Auto Exposure ColoSpace: sRGB EV: -0.7 MeteringMode: CenterWeightedAverage Camera Pitch: -85.00 - Survey informations: No Images: 187 Median height: 175 meters Survey area: 54.52 hectares Survey from: 2023:04:30 13:21:54 to: 2023:04:30 13:39:27 "

opencc-by-4.0Oct 2023View details →

zenodo32/100

Orthophoto & DEM (MNE) issues d'images drone, UAV, Jollyroger, Mayotte - 20220911

"Ce jeu de données présente les résultats des traitements photogrammétriques d'images de drone DJI Mavic 2 Pro UAV acquises sur le site de Jollyroger, Mayotte à la date suivante : 20220911. Dans le cadre de la collaboration entre le Projet G2OI et Mayotte FMR (Future Maore Reef), l'objectif de la mission vise à étudier l'implantation de récifs artificiels dans le lagon de Mayotte sur plusieurs sites. En espace aérien contrôlé, les vols ont été exécutés en regard de la réglmentation et en contact avec la tour de contrôle de l'aéroport de Mayotte. Le paramétrage du logiciel OpenDroneMap est partagé pour permettre la reproductibilité ou l'amélioration des traitements proposés: [ { 'name': 'orthophoto-resolution', 'value': 1 }, { 'name': 'auto-boundary', 'value': true }, { 'name': 'dem-resolution', 'value': '2.0' }, { 'name': 'dsm', 'value': true } ] Le dépôt est composé des éléments suivants: - 00_: Planche d'aperçu des images - DCIM.zip: Images brutes issues du drone - GPS.zip: Geopackage contenant l'emprise du survol ainsi que la géolocalisation des images accompagnées de leurs miniatures dans la table d'attribut en base64 - METADATA.zip: Métadonnées au format ISO19115, Rapports avec miniatures des images de drone (dossier tb) et statistiques de vols. - PROCESSED_DATA.zip: Orthophoto, DEM, nuages de points, ... Arborescence d'origine: └─ 20220911_MYT-jollyroger_UAV-02_1 └─ DCIM └─ mer └─ GPS └─ METADATA └─ tb └─ PROCESSED_DATA Informations de survol: Différentes hauteurs de vols, angles des transects et angles de caméra ont été utilisés dans le but d'obtenir des données de qualité en fonction des conditions météorologiques et marines. - Camera model and parameters: Make: Hasselblad Model: L1D-20c Width: 5472 Height: 3648 Focal: 28 WhiteBalance: Manual ExposureMode: Auto Exposure ColoSpace: sRGB EV: -0.7 MeteringMode: CenterWeightedAverage Camera Pitch: -89.90 - Survey informations: No Images: 349 Median height: 70 meters Survey area: 9.22 hectares Survey from: 2022:09:11 08:37:19 to: 2022:09:11 08:55:09 "

opencc-by-4.0Oct 2023View details →

zenodo32/100

FIGURE 3 in A special issue of Phytotaxa dedicated to Bryophytes: The closest living relatives of early land plants

FIGURE 3. Sphagnum pulchrum (Lindberg 1880: 25) Warnstorf (1900: 42), Alaska (Photo: Blanka Shaw). Sphagnum comprises a speciose clade of mosses that dominates many wetland ecosystems, especially in the boreal zone of the Northern Hemisphere (Shaw et al. 2003). In particular, Sphagnum is an important and conspicuous component in peatlands, which perform a significant global function in regulating the Earth's atmospheric chemistry as well as providing valuable economic commodities (Rochefort 2000). Sphagnum holds an interesting position amongst mosses, with Cox et al. (2004) indicating that Sphagnum and Takakia form a clade sister to all remaining mosses.

opennotspecifiedSep 2010View details →

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FIGURE 2 in A special issue of Phytotaxa dedicated to Bryophytes: The closest living relatives of early land plants

FIGURE 2. Leiosporoceros dussii (Stephani 1893: 142) Hässel (1986: 255), Panama (Photo: Juan Carlos Villarreal). Leiosporoceros is monotypic genus sister to all other hornworts. In the past decade the number of wellrecognized hornwort genera has increased from 6 to 14. Phaeomegaceros is one of the newly-erected genera and as the name implies, this genus has features that are diagnostic of Megaceros (no pyrenoid and single antheridia per cavity) and others shared with Phaeoceros (especially the presence of stomata). Despite the delineation of new genera, hornworts have low species numbers and, alarmingly, this distinct and small group has not been monographed worldwide. Because current phylogenies place them as sister to tracheophytes, hornworts are a critical group for understanding the evolution of plant form (Villarreal et al. 2010). Hornworts have a unique combination of morphological and developmental traits that have long fascinated scientists. Most hornworts have an algal-like chloroplast and exhibit a carbon concentration mechanism not seen in other land plants (e.g., Hanson et al. 2002, Meyer et al. 2008). Interestingly, a cyanobacterial association is ubiquitous in hornwort gametophytes.

opennotspecifiedSep 2010View details →

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Plate examples for OMERO memory issue

This will eventually be hosted at images.jax.org, currently uploaded to Zenodo to troubleshoot memory issues downloading from OMERO.

opencc-by-4.0Mar 2024View details →

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Container Security issues: A Practitioner Perspective - Interview Questions

List of Interview questions

opencc-by-4.0Apr 2024View details →

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Container Security issues: A Practitioner Perspective - Technical outcomes

Open the record for dataset details and reuse information.

opencc-by-4.0Apr 2024View details →

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Container Security issues: A Practitioner Perspective - Thematic Analysis

Open the record for dataset details and reuse information.

opencc-by-4.0Apr 2024View details →

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ARP-Issues-Dataset

ARP-Issues Dataset <ul> <li>APMINER : a tool to analyze the Javadoc and annotation of the Android SDK to infer API-DP mappings.</li> <li>ARP-DP : API-Permission mapping on API levels 23-30.</li> <li>ARPBENCH : Benchmark for experimental.</li> <li>GitHub Issues </li> <li>StackOverflow Posts  </li> </ul>

opencc-by-4.0Jun 2021View details →

dryad32/100

Data from: A burning issue: Savanna fire management can generate enough carbon revenue to help restore Africa's rangelands and fill protected area funding gaps

Many savanna-dependent species in Africa including large herbivores and apex predators are at increasing risk of extinction. Achieving effective management of protected areas (PAs) in Africa where lions live will cost an estimated USD >$1-2 B/year in new funding. We explored the potential for fire management-based carbon-financing programs to fill this funding gap and benefit degrading savanna ecosystems. We demonstrated how introducing early dry season fire management programs could produce potential carbon revenues (PCR) from either a single carbon-financing method (avoided emissions) or from multiple sequestration methods ranging from USD $59.6-$655.9 M/year (at USD $5/ton) or USD $155.0 M–$1.7 B/year (at USD $13/ton). We highlighted variable but significant PCR for savanna PAs from USD $1.5–$44.4 M/year per PA. We suggest investing in fire management programs to jump-start the United Nations Decade of Ecological Restoration to help restore degraded African savannas and conserve imperiled keystone herbivores and apex predators.

opencc-zeroNov 2021View details →

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FIGURE 2 in Nomenclatural issues in ornithology: the incredible controversy on the identity of a long overlooked Brazilian bird

FIGURE 2. Maps based on known collecting localities for all the Brazilian species of Scytalopus. Environmental suitability for each one of the six species was estimated through ecological niche modeling, where warmer colors (red) indicate higher suitability. The original collecting locality of the type specimen of S. speluncae is indicated with a black triangle, but that locality was excluded from all of the analysis. A: light-grey taxon described in 2010 as S. petrophilus; B: dark-grey taxon described in 2006 as S. notorius; C: S. diamantinensis; D: S. iraiensis; E: S. novacapitalis; F: S. pachecoi. Abbreviations of the names of Brazilian states indicated in figure C are as follows: BA: Bahia; ES: Espírito Santo; GO: Goiás; MG: Minas Gerais; PR: Paraná; RJ: Rio de Janeiro; RS: Rio Grande do Sul; SC: Santa Catarina; SP: São Paulo. Brasília, the type locality of S. novacapitalis, is the square in the state of Goiás.

opennotspecifiedNov 2013View details →

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FIGURE 1 in Nomenclatural issues in ornithology: the incredible controversy on the identity of a long overlooked Brazilian bird

FIGURE 1. Map of Eastern Brazil with collecting localities of the species of Scytalopus (based on data from Maurício et al., 2010). Purple circle, S. diamantinensis Bornschein, Maurício, Belmonte-Lopes, Mata & Bonatto, 2007; light-blue circle, S. iraiensis Bornschein, Reinert & Pichorim, 1998; white circle, S. novacapitalis Sick, 1958, grey circle, S. pachecoi Maurício, 2005. The type locality where the original specimen of S. speluncae (Ménétriés, 1835) was obtained is indicated with a black triangle. Collecting localities of the dark-grey form recently described as S. notorius Raposo, Stopiglia, Loskot & Kirwan, 2006 is indicated with dark-blue circles and the light-grey form recently described as S. petrophilus Whitney, Vasconcelos, Silveira & Pacheco, 2010 is indicated with olive-green squares. Either S. notorius or S. petrophilus is a subjective junior synonym of S. speluncae. Habitat elevation is indicated in intervals of 400m with dark green being ground level and up to 400m.

opennotspecifiedNov 2013View details →

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Supplementary data for the publication of Characterization of Emissions in Fab Labs: an Additive Manu-facturing Environment Issue

Datasets for the publication of the article "Characterization of Emissions in Fab Labs: an Additive Manufacturing Environment Issue": - Ultrafine Particles: UFP per Zone and mode; - VOC emissions: VOC per Zone and mode.

opencc-by-4.0Jan 2022View details →

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Replication Package for "Trust Enhancement Issues in Program Repair"

This is the replication artifact for our work on "Trust Enhancement Issues in Program Repair". The corresponding paper has been published at the International Conference of Software Engineering (ICSE) 2022, and is available under the following URL: <a href="https://doi.org/10.1145/3510003.3510040">https://doi.org/10.1145/3510003.3510040</a>. A pre-print of our work is available on arXiv: <a href="https://arxiv.org/pdf/2108.13064.pdf">https://arxiv.org/pdf/2108.13064.pdf</a>. The artifacts is organized in two parts: <ol> <li>the artifacts for our developer survey, and</li> <li>the artifacts for our empirical assessment of state-of-the-art automated program repair (APR) techniques.</li> </ol>   1. Survey Artifacts The <code>survey</code> folder includes: <ul> <li><code>Survey_Form.pdf</code> -- It shows the PDF version of the web form of our survey.</li> <li><code>Study_Results.pdf</code> -- It shows a summary of the questions and responses.</li> <li><code>Codebooks.xlsx</code> -- It shows all created codebooks.</li> <li><code>CodedResults.xlsx</code> -- It shows the responses for all questions, the corresponding coding, and statistics we applied during our analysis. Additionally, it includes plots for all responses and also the plots that are included in our paper.</li> </ul>   2. Experiment Artifacts The <code>experiments</code> folder includes: <ul> <li><code>tools.md</code> -- It lists and describes the APR techniques that we used in our experiments.</li> <li><code>Results.xlsx</code> -- Contains the results of the experiments for each tool we considered, configuration details, and all the data from the ManyBugs benchmark.</li> <li><code>protocols/</code> -- This folder includes the analysis protocols, which describe for each tool "how" we extracted the values for our evaluation metrics (see Table 3 in our paper).</li> <li><code>results/</code> -- Contains the log files and relevant outputs for all tools and configurations. In particular, it includes the generated patches.</li> <li><code>subjects/</code> -- Contains the subjects taken from the <a href="https://repairbenchmarks.cs.umass.edu">ManyBugs</a> benchmark. For our experiments, we made some changes to the instrumentations, test-ids, etc. The file <code>meta-data.json</code> states the configurations, relevant test cases, etc.</li> <li><code>tool-snapshots/</code> -- Contains the snapshots for the tools, which we used in our evaluation.</li> </ul>

opencc-by-4.0Jan 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