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.
3,673
datasets available to search
ShareScore release 0.9.0
Dataset results
3,673 results for “practices”
Survey and Interview Data from Mixed-Method Survey of Serverless Computing and Function-as-a-Service Software Development in Industrial Practice
<p>This dataset contains the almost-raw data resulting from two out of the three methods chosen by the researchers for their namesake study «A Mixed-Method Empirical Study of Function-as-a-Service Software Development in Industrial Practice». Among the files are web survey questions, anonymised survey results, and interview guidelines. We encourage other researchers to perform open coding and other analysis techniques on the data to verify our claims and to generate new insights.</p>
PM-345 Practical 3
<p>The data relates to PM-345 Practical 3</p>
Fig. 20. A in Micro-computed tomography for natural history specimens: a handbook of best practice protocols
Fig. 20. A. Part of a pinned Omorgus gigas (Harold, 1872) beetle a few hundred slices away from the pinned area. B. The normal morphology of the beetle is no longer visible due to the metal artefact appearing in the pinned area. Image by the Royal Belgian Institute of Natural Sciences (RBINS) / DIGIT-3 Belspo, CC-BY-NC-ND Jonathan Brecko.
Fig. 15 in Micro-computed tomography for natural history specimens: a handbook of best practice protocols
Fig. 15. Polychaete specimen (Lumbrineris latreillii Audouin & Milne Edwards, 1834) in a composite rendering showing the location of organs of interest within the animal. Soft tissues are volume-rendered, jaws were segmented individually and surface-rendered in different colours. The coloured arrows at the upper left corner indicate the orientation of the scanned specimen in three views (x, y and z axes). Image by HCMR micro-CT lab, CC-BY Sarah Faulwetter.
Fig. 1 in Micro-computed tomography for natural history specimens: a handbook of best practice protocols
Fig. 1. Schematic overview of the image acquisition process. Image by the Hellenic Centre for Marine Research (HCMR) micro-CT lab.
Fig. 19 in Micro-computed tomography for natural history specimens: a handbook of best practice protocols
Fig. 19. Scan of a marine worm (polychaete) with motion artefacts. The structures are not clearly defined due to specimen movement during the scanning procedure. Image by HCMR micro-CT lab.
Fig. 4 in Micro-computed tomography for natural history specimens: a handbook of best practice protocols
Fig. 4. Example of the projection images resulting from the scanning process. Image by HCMR micro- CT lab.
Fig. 22. A. Monkey vertebra without metal support. B. A in Micro-computed tomography for natural history specimens: a handbook of best practice protocols
Fig. 22. A. Monkey vertebra without metal support. B. A metal artefact (yellow arrow) is created due to the metal rod used to support a series of vertebrae on a mounted skeleton. Photo courtesy of the Royal Belgian Institute of Natural Sciences (RBINS) / DIGIT-3 Belspo, CC-BY-NC-ND Jonathan Brecko.
Fig. 3 in Micro-computed tomography for natural history specimens: a handbook of best practice protocols
Fig. 3. The spectrum generated by an X-ray generator at 100kV with and without filtering. Image generated by the simulation environment https://www.oem-xray-components.siemens.com/x-ray-spectra-simulation.
Fig. 21. A. 3D in Micro-computed tomography for natural history specimens: a handbook of best practice protocols
Fig. 21. A. 3D model of the Omorgus gigas (Harold, 1872) beetle after a quick segmentation, including the metal artefact. B. 3D model of the same specimen after manual removal of the pin in the Dragonfly software (http://www.theobjects.com/dragonfly/). Clicking on the image opens the 3D model. Photo courtesy of the Royal Belgian Institute of Natural Sciences (RBINS) / DIGIT-3 Belspo, CC-BY-NC-ND Jonathan Brecko.
Fig. 10. Measuring the maximum width W in Micro-computed tomography for natural history specimens: a handbook of best practice protocols
Fig. 10. Measuring the maximum width W (in pixels) of the projected specimen (as the distance from the rotation axis - dotted line - to the farthest end of the sample) to calculate the number of radiographs needed. This measurement is done for the angular position of the rotating platform where the projected specimen is the widest. For a complete rotation, the projected specimen would stay within the limits of the rectangle. Photo by MNHN.
Fig. 17 in Micro-computed tomography for natural history specimens: a handbook of best practice protocols
Fig. 17. Scan of a marine worm (polychaete) without (A) and with (B) ring artefacts correction during the reconstruction procedure. The red square indicates the presence of ring artefacts which are reduced in (B) following the ring artefacts correction. Images by HCMR micro-CT lab.
Fig. 9 in Micro-computed tomography for natural history specimens: a handbook of best practice protocols
Fig. 9. External morphology of the polychaete Lumbrineris latreilli Audouin & Milne Edwards, 1834. Specimen had been preserved in ethanol and was subsequently blotted dry on a tissue and scanned in air. The remaining ethanol (shown by arrows) can be observed clinging to the anterior end of the polychaete. Image by HCMR micro-CT lab, CC-BY Sarah Faulwetter.
Fig. 12 in Micro-computed tomography for natural history specimens: a handbook of best practice protocols
Fig. 12. Cross-section image without (A) and with (B) a selection of a region of interest (red square) for the reconstruction of polychaete jaws. Image by HCMR micro-CT lab.
Results of user research project to understand data curation practices
<p>Supporting scalable curation is a part of the mission of the Elixir Data Platform.Thus far, we have established infrastructure capable of ingesting and aggregating text-mined outputs from multiple providers and making these available via an API. This public API is used by Europe PMC to display specific entities and relationships on full text articles (via the SciLite application). To ensure that the future development of this infrastructure meets the needs of curators, we first carried out user research to understand and identify common workflow patterns and practices via an observational study. Building on these outcomes, we then devised a curator community survey to more specifically understand which entity types, sections of a paper and tools are of top priority to address. The results of the project is presented here.</p>
Replication package for the paper: "Technical Debt's State of Practice on Stack Overflow: a Preliminary Study"
<p>This is the replication package for the paper "Technical Debt’s State of Practice on Stack Overflow: a Preliminary Study", published (in Portuguese) in the preliminary results track of SBQS, the Brazilian Symposium on Software Quality.</p> <p> </p> <p>We provide the data for all steps of our methodology and final analysis. Each file is numbered, indicating the order in which they were produced in our study. </p>
Data and code: Evaluation of the General Practice Pharmacist (GPP) intervention to optimise prescribing in Irish primary care: a non‐randomised pilot study
<p>This is a dataset and Stata analytical code relating to prescribing issues identified in the GPP pilot feasibility study. The paper reporting this study has been published as follows: </p> <p>Cardwell K, Smith SM, Clyne B on behalf of the General Practice Pharmacist (GPP) Study Group, et al. Evaluation of the General Practice Pharmacist (GPP) intervention to optimise prescribing in Irish primary care: a non-randomised pilot study. BMJ Open 2020;10:e035087. doi: 10.1136/bmjopen-2019-035087</p> <p>The abstract of the study is included below:</p> <p><strong>Objective:</strong> Limited evidence suggests integration of pharmacists into the general practice team could improve medicines management for patients, particularly those with multimorbidity and polypharmacy. This study aimed to develop and assess the feasibility of an intervention involving pharmacists, working within general practices, to optimise prescribing in Ireland.</p> <p><strong>Design:</strong> Non-randomised pilot study</p> <p><strong>Setting:</strong> Primary care in Ireland</p> <p><strong>Participants:</strong> Four general practices, purposively sampled and recruited to reflect a range of practice sizes and demographic profiles.</p> <p><strong>Intervention:</strong> A pharmacist joined the practice team for six months (10 hours/week) and undertook medication reviews (face-to-face or chart-based) for adult patients, provided prescribing advice, supported clinical audits, and facilitated practice-based education.</p> <p><strong>Outcome measures:</strong> Anonymised practice-level medication (e.g. medication changes) and cost data were collected. Patient-Reported Outcome Measure (PROM) data were collected on a subset of older adults (aged ≥65 years) with polypharmacy using patient questionnaires, before and six weeks after medication review by the pharmacist.</p> <p><strong>Results:</strong> Across four practices, 787 patients were identified as having 1,521 prescribing issues by the pharmacists. Issues relating to potentially inappropriate or high-risk prescribing were addressed most often by the prescriber (51.8%), compared to cost-related issues (7.5%). Medication changes made during the study equated to approximately €57,000 in cost savings assuming they persisted for 12 months. Ninety-six patients aged ≥65 years with polypharmacy were recruited from the four practices for PROM data collection and 64 (66.7%) were followed up. There were no changes in patients’ treatment burden or attitudes to deprescribing following medication review, and there were conflicting changes in patients' self-reported quality of life.</p> <p><strong>Conclusions:</strong> This non-randomised pilot study demonstrated that an intervention involving pharmacists, working within general practices is feasible to implement and has potential to improve prescribing quality. This study provides rationale to conduct a randomised controlled trial to evaluate the clinical and cost-effectiveness of this intervention.</p>
Figure 2 in Spatial and temporal nesting pattern of Sea Turtles in Alas Purwo National Park, and its implications for conservation management practices
Figure 2. Trend of sea turtle nesting in the past 40 years at APNP: (A) L.olivacea, (B) C. mydas, (C) E. imbricata, and (D) D. coriacea.
Figure 1 in Spatial and temporal nesting pattern of Sea Turtles in Alas Purwo National Park, and its implications for conservation management practices
Figure 1. Study location in Alas Purwo National Park's Pancur-Cungur Coast with six hypothetical stations (dot: sector benchmark point).
Figure 4 in Spatial and temporal nesting pattern of Sea Turtles in Alas Purwo National Park, and its implications for conservation management practices
Figure 4. Number of four sea turtles nesting in each month during survey period: (A) L.olivacea, (B) C. mydas, (C) E. imbricata, and (D) D. coriacea.
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.