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”
Knowledge, attitude and practice (KAP) survey of canine rabies in Khyber Pakhtunkhwa and Punjab Province of Pakistan
Open the record for dataset details and reuse information.
A practical method for estimating coupling functions in complex dynamical systems
Open the record for dataset details and reuse information.
Interprofessional education in geriatric medicine: towards best practice. A controlled before-after study of medical and nursing student attitudes
Open the record for dataset details and reuse information.
Change and persistence of hunting & dietary practices among Kadazandusun-Murut (KDM) bearded pig hunters in Sabah, Malaysia
Open the record for dataset details and reuse information.
Ecological legacies of prehistoric agricultural practices in arid and semi-arid ecosystems of the southwestern US
This work examines the long-term ecological legacies of land use intensity in two different ecosystem types of the southwestern US, which supported agroecologically active and well-studied populations of humans until 1200- 1400 AD. This unique perspective, accessible only through the archaeological record, provides an understanding of the importance of humans and their varied land use activities as drivers of persistent ecological patterns and processes. Data were collected across a gradient of known prehistoric human activity in arid and semi-arid ecosystems of central Arizona that represent two ends of a spectrum of human occupation in population and duration. Cave Creek, located in the Sonoran desert of the northern Phoenix basin, supported relatively large human populations for approximately four centuries using both irrigated and dry land farming techniques. Perry Mesa is located at higher elevation in the semi-arid desert grasslands of Agua Fria National Monument. Populations at Perry Mesa were smaller and more ephemeral than at Cave Creek, and were supported by only dry land agricultural fields and house gardens. In each system, the importance of land use intensity on modern ecological properties and processes is evaluated by comparing areas of high intensity use (irrigated fields at Cave Creek, rain-fed terraces at Perry Mesa) with areas of relative low use (rain-fed terraces at Cave Creek, house gardens at Perry Mesa) and nearby areas where there is no archaeological evidence of human land use (off-site controls).
Strategies for Culture Change and Resources for Best Practice in Open Science: Slides https://osf.io/fqypv
<p>Audio recording of a talk given by David Mellor at the Reward/Equator conference organised by the Bf3R seminar series. The audio can be combined with the original slides found here: <a href="https://osf.io/fqypv">https://osf.io/fqypv</a></p> <p>The BfR is the German Centre for the Protection of Laboratory Animals at the German Federal Institute for Risk Assessment. The Bf3R organized the focus track “Improving biomedical research through preregistration” at the REWARD/EQUATOR conference in Berlin, where David Mellor was an invited expert speaker. The aim of this conference is: “sharing strategies for research improvement”.</p>
Fostering Responsible Research Practice Dataset
<p>Fostering Responsible Research Practice Dataset, clinical trials.</p>
Demand data belonging to paper "A Practical Optimization Scheme for Real-Time Operation of Water Distribution Systems"
<p>The CSV file contains the demand data used in the paper "A Practical Optimization Scheme for Real-Time Operation of Water Distribution Systems" published in the Journal of Water Resources Planning and Management (2020)</p> <p><a href="https://doi.org/10.1061/(ASCE)WR.1943-5452.0001188">https://doi.org/10.1061/(ASCE)WR.1943-5452.0001188</a></p> <p>The demand data is for the test case and consists of one year of hourly demand values for the 8 demand nodes of the demo network. The data is in units of cubic meters per hour.</p>
Fig. 6.12 in Handbook of best practice and standards for 2D+ and 3D imaging of natural history collections
Fig. 6.12. Cost/efficiency ratio of digitisation for middle sized specimens. (CT is based on a rental service, while the others include the purchase of the equipment).
Fig. 6.11 in Handbook of best practice and standards for 2D+ and 3D imaging of natural history collections
Fig. 6.11. Comparison between the Focus Stacking Photogrammetry model (left) and the µCT model (right) of the Omorgus beetle. The models are very close, with the µCT model perhaps showing a little more detail. The µCT scan was made using a XRE UniTom at 60 kV and with a voxelsize of 29 µm. https://sketchfab.com/models/ad5fd157c5424c8fb793c1c282450d33
Fig. 6.9 in Handbook of best practice and standards for 2D+ and 3D imaging of natural history collections
Fig. 6.9. Omorgus beetle structured light scanning with MechScan (left) comparison to µCT scan (right). The main difference is the lack of artefacts due to the needle with the MechScan 3D model. But the MechScan model lacks almost the entire ventral area of the abdomen between the legs. https://sketchfab.com/models/9dc5082c8db14c92879947da927f07dc
Fig. 6.8 in Handbook of best practice and standards for 2D+ and 3D imaging of natural history collections
Fig. 6.8. Comparison between different treatments of the µCT model. Top and bottom left: µCT model without any treatment regarding removal of the artefacts https://sketchfab.com/models/169c2b29a1404e5cb5f6b6ea0928d075. Top and bottom in the middle: area affected by the metal artefact quickly cut out in GOM Inspect https://sketchfab.com/models/ f40a108e43ea44d78ca3d04ac41ad0a0; Top and bottom right: Carefully removed the needle through segmentation in Dragonfly 3.5. https://sketchfab.com/models/dc194a4e05da4f7ab787c8c7b028d2e7
Fig. 6.7. Bone retoucher digitised with photogrammetry using a in Handbook of best practice and standards for 2D+ and 3D imaging of natural history collections
Fig. 6.7. Bone retoucher digitised with photogrammetry using a zoom lens (Ptg 18–55), a fixed focal macro lens (Ptg 100), focus stacking photogrammetry (FS-Ptg 60), structured light (SL) and microCT (µCT).
Fig. 6.6 in Handbook of best practice and standards for 2D+ and 3D imaging of natural history collections
Fig. 6.6. Detailed view of the sea urchins digitised with different equipment. The goal was to digitise the small punctures on the surface as these aid in identifying the species of the sea urchin.
Fig. 5.2 in Handbook of best practice and standards for 2D+ and 3D imaging of natural history collections
Fig. 5.2. Micro-contrast enhancement and relighting in DxO OpticsPro 11. The original image is on the left, the post-processed picture on the right. The dark area in the middle is now sufficiently exposed, without losing the look and feel of the specimen.
Fig. 6.10 in Handbook of best practice and standards for 2D+ and 3D imaging of natural history collections
Fig. 6.10. Comparison of the Photogrammetry (left) vs µCT models (right) of the Omorgus beetle. The large difference between them is the less pronounced detail in the photogrammetry model. To fully see the detailed differences, check the models online: https://sketchfab.com/models/a1fb6b8289f74c428782f43d502e771e
Fig. 4.8 in Handbook of best practice and standards for 2D+ and 3D imaging of natural history collections
Fig. 4.8. Pre-Columbian handle of an incense shovel from the Royal Museum of Art and History (RMAH) collections, on top in white light, at bottom in infrared. The infrared image only displays carbon-based pigment in black, the other pigments used are transparent to infrared.
Fig. 3.16 in Handbook of best practice and standards for 2D+ and 3D imaging of natural history collections
Fig. 3.16. Valgus hemipterus (7 mm body size) scanned with DISC3D at two different camera resolutions. A–B. 4 MP. C–D. 12 MP. Both images are sharp, but the 12 MP version shows more detail, resulting also in a higher spatial resolution of the model (but see Table 3.3). The textured VCM-model (low polygonversion) can be inspected at Sketchfab: https://skfb.ly/6KpsB
Fig. 3.11. 3D in Handbook of best practice and standards for 2D+ and 3D imaging of natural history collections
Fig. 3.11. 3D model, with texture on the left and mesh only on the right, of the mollusk Gabbiella humerosa edwardi (size: 6 mm) generated in Agisoft Photoscan based on single images (f/14). https://sketchfab.com/models/73c74dc0d17b4d5f99b4fe4393f05302
Fig. 3.29. NextEngine with the rotary table holding a in Handbook of best practice and standards for 2D+ and 3D imaging of natural history collections
Fig. 3.29. NextEngine with the rotary table holding a geological sample. The cardboard sheet behind is placed to avoid reflection of the bright and shiny glazed white tiles on the wall. The NextEngine also comes with a sample holder to scan small samples.
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.