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.
7,378
datasets available to search
ShareScore release 0.9.0
Dataset results
7,378 results for “case”
Inputs for ECF Model for case study Vienna
<p>The datasets comprise of:</p> <ol> <li>Cooling demand density and Gross Floor area distribution from https://www.hotmaps.eu/</li> <li>Pipe Costs Estimates for district cooling networks from sEEnergies_D4.5_DH_investment_costs_and_allocation_local_ressources_final_version.pdf</li> <li>EU.11 Cooling Technologies cost data from "Pathways for energy efficient heating and cooling.” EU-Comission, Forthcoming final report, 2023 </li> </ol>
Outputs from new LBA simulations. Part I: Baseline case
<p>MIMICA model outputs for new LBA simulations. The case, model configuration and output files are all described in the attached TRANSITION_setup.pdf file. This is the first of a three part dataset containing only results from the baseline simulations (see below for a very quick overview of all data).</p> <p>Three sets of data outputs are available: One corresponding to the original, idealized LBA case, one in which cold pools have been suppressed by nudging temperature and moisture tendencies below cloud base(_nocp extension), and one in which the fixed surface fluxes have been replaced by interactive fluxes (_sst extension). For each set of simulations, five horizontal grid spacings were employed to test the sensitivity of the results to resolution (specified as file name extensions): 1.6 km (64 grid points), 800 m (128 grid points), 400 m (256 grid points), 200 m (512 grid points) and 100 m (1024 grid points). Finally, for each case, a series of various output files are available, including time series of domain averaged quantities (T_S), time series of horizontally averaged quantities (profiles_tot.nc), and two-dimensional horizontal slices extracted at various altitudes (slice_z_XXXX.nc). Note that all files present except T_S follow the NetCDF standard.</p>
Supplementary data for: simultaneous species detection and discovery with environmental DNA metabarcoding: a freshwater mollusk case study
<p>Environmental DNA (eDNA) sampling is a powerful tool for rapidly characterizing biodiversity patterns for specious, cryptic taxa with incomplete taxonomies. One such group that are also of high conservation concern are North American freshwater gastropods. In particular, springsnails of the genus <em>Pyrgulopsis</em> (Family: Hydrobiidae) are prevalent throughout the western United States where >140 species have been described. Many of the described species are narrow endemics known from a single spring or locality and it is believed that there are likely many additional species which have yet to be described. The distribution of these species across the landscape is of interest because habitat loss and degradation, climate change, groundwater mining, and pollution have resulted in springsnail imperilment rates as high as 92%. Determining distributions with conventional sampling methods is limited by the fact that these snails are often <5 mm in length with few distinguishing morphological characters, making them both difficult to detect and to identify. In order to facilitate detection of <em>Pyrgulopsis</em> we developed an eDNA metabarcoding protocol that is both inexpensive and capable of rapid, accurate detection of all known <em>Pyrgulopsis</em> species. When compared with conventional collection techniques, our pipeline consistently resulted in detection at sites previously known to contain <em>Pyrgulopsis </em>springsnails and at a cost per site that is likely to be substantially less than the conventional sampling and individual barcoding that has been done historically. Additionally, because our method uses eDNA extracted from filtered water it is non-destructive and suitable for the detection of endangered species where "no take" restrictions may be in effect. This effort represents both a tool which is immediately applicable to a group of high conservation concern across western North America and a case study in the broader application of eDNA sampling for landscape assessments of cryptic taxa of conservation concern.</p>
Data associated with the study titled "The role of micro-environments on computed vibrationally-resolved emission spectra: The case of oxazines."
<p>This repository contains data associated with the study titled "The role of micro-environments on computed vibrationally-resolved emission spectra: The case of oxazines."</p> <p>Folder Structure:<br>========== /CV/ ==========<br>/CV-bare/: Coordinates of the ground state (GS) and excited state (ES) for CV+ dye.</p> <p>========== /DR/ ==========<br>/DR-bare/DR-most-stable/: Coordinates of the ground state (GS) and excited state (ES) for the most stable conformer of DR+ dye.</p> <p>========== /NB/ ==========<br>/NB-bare/NB-most-stable/: Coordinates of the ground state (GS) and excited state (ES) for the most stable conformer of NB+ dye.<br>/NB-bare/NB-other-conformers/: Coordinates of the ground state (GS) and excited state (ES) for other conformers responsible for over 90% of the total Boltzmann weighted population of NB+ dye.</p> <p>========== /Ox1/ ==========<br>/Ox1-bare/Ox1-most-stable/: Coordinates of the ground state (GS) and excited state (ES) for the most stable conformer of Ox1+ dye.<br>/Ox1-bare/Ox1-other-conformers/: Coordinates of the ground state (GS) and excited state (ES) for other conformers responsible for over 90% of the total Boltzmann weighted population of Ox1+ dye.</p> <p>========== /Ox4/ ==========<br>/Ox4-bare/Ox4-most-stable/: Coordinates of the ground state (GS) and excited state (ES) for the most stable conformer of Ox4+ dye.<br>/Ox4-bare/Ox4-other-conformers/: Coordinates of the ground state (GS) and excited state (ES) for other conformers responsible for over 90% of the total Boltzmann weighted population of Ox4+ dye.<br>/Ox4-bare/Ox4-PCM/: Coordinates of the ground state (GS) and excited state (ES) for the most stable conformer of Ox4+ dye in the Polarizable Continuum Model (PCM).<br>/Ox4-betaine/: Coordinates of the ground state (GS) and excited state (ES) for a betaine molecule aggregated to Ox4+ dye at different positions.<br>/Ox4-water-gasphase/: Coordinates of the ground state (GS) and excited state (ES) for a water molecule aggregated to Ox4+ dye at different positions as well as two water mocules aggregated to Ox4+ at postion 1.<br>/Ox4-water-PCM/: Coordinates of the ground state (GS) and excited state (ES) for a water molecule aggregated to Ox4+ dye at different positions in PCM.</p> <p>========== /Ox170/ ==========<br>/Ox170-bare/Ox170-most-stable/: Coordinates of the ground state (GS) and excited state (ES) for the most stable conformer of Ox170+ dye.<br>/Ox170-bare/Ox170-other-conformers/: Coordinates of the ground state (GS) and excited state (ES) for other conformers responsible for over 90% of the total Boltzmann weighted population of Ox170+ dye.<br>/Ox170-bare/Ox170-PCM/: Coordinates of the ground state (GS) and excited state (ES) for the most stable conformer of Ox170+ dye in the Polarizable Continuum Model (PCM).<br>/Ox170-betaine/: Coordinates of the ground state (GS) and excited state (ES) for a betaine molecule aggregated to Ox170+ dye at different positions.<br>/Ox170-water-gasphase/: Coordinates of the ground state (GS) and excited state (ES) for a water molecule aggregated to Ox170+ dye at different positions as well as two water mocules aggregated to Ox170+ at postion 1.<br>/Ox170-water-PCM/: Coordinates of the ground state (GS) and excited state (ES) for a water molecule aggregated to Ox170+ dye at different positions in PCM.</p> <p><br>Notes:<br>For any inquiries or clarifications, please contact the creators.</p>
Long Case Grandfather Clock with Moon Dial
The Long Case or Floor Clock was invented in the mid-17th century with pendulums calibrated to swing once a second. Thereafter these became items of high-end decoration as well as reliable time pieces. In the early 18th century, the moon or lunar dial was added. Around 1876 Long Case Clocks became better known as 'grandfather clocks' due to a popular song retelling the story of the song-writers putative grandfather's clock. This model would stand 1.95 metres tall, which is a typical size. Source: Objaverse 1.0 / Sketchfab
Essence Naïs perfume in a case
ID no.: FZRS/77 Museum: Collection of the Sosenko Family Foundation https://muzea.malopolska.pl/en/objects-list/1676 Digitalisation: RDW MIC, Virtual Małopolska project Source: Objaverse 1.0 / Sketchfab
Case
Case, is apart of the Indianapolis Motor Speedway Museum collection. For more information visit: https://indyracingmuseum.org/ This object was 3D scanned using a Creaform Go Scan 50. Source: Objaverse 1.0 / Sketchfab
Roger&Gallet bottle case
ID no.: FZRS/13 Museum: Collection of the Sosenko Family Foundation https://muzea.malopolska.pl/en/objects-list/898 Digitalisation: RDW MIC, Virtual Małopolska project Source: Objaverse 1.0 / Sketchfab
Order of Polonia Restituta IV Class – a case
The Officer's Cross of the Order of Polonia Restituta IV Class – a case ID no.: MNS-H/4198 Museum: Nowy Sącz District Museum https://muzea.malopolska.pl/en/objects-list/2343 Digitalisation: RDW MIC, Virtual Małopolska project Source: Objaverse 1.0 / Sketchfab
Artifactual orthologs and the need for diligent data exploration in complex phylogenomic datasets: A museomic case study from the Andean flora
<p>The Andes mountains of western South America are a globally important biodiversity hotspot, yet there is a paucity of resolved phylogenies for plant clades from this region. Filling an important gap to our understanding of the World's richest flora, we present the first phylogeny of <em>Freziera</em> (Pentaphylacaceae), an Andean-centered, cloud forest radiation. Our dataset was obtained via hybrid-enriched target sequence capture of Angiosperms353 universal loci for 50 of the ca. 75 spp., obtained almost entirely from herbarium specimens. We identify high phylogenomic complexity in <em>Freziera</em>, including a significant proportion of paralogous loci and a high degree of gene tree discordance. Via gene tree filtering, by-eye observation of gene trees, and detailed examination of warnings from recently improved assembly pipelines, we identified that cryptic paralogs (i.e., the presence of only one copy of a multi-copy gene due to assembly errors) were a major source of gene tree heterogeneity that had a negative impact on phylogenetic inference and support. These cryptic paralogs likely result from limitations in data collection that are common in museomics, combined with a history of genome duplication; they may be common in plant phylogenomic datasets. After accounting for cryptic paralogs as source of gene tree error, we identified a significant, but non-specific signal of introgression using Patterson's D and f4 statistics. Despite phylogenomic complexity, we were able to resolve <em>Freziera</em> into nine well-supported subclades whose histories have been shaped by myriad evolutionary processes, including incomplete lineage sorting, historical gene flow, and gene duplication. Our results highlight the complexities of plant phylogenomics, and point to the need to test for multiple sources of gene tree discordance via careful examination of empirical datasets.</p>
Assessing the use of HL7 FHIR for implementing the FAIR guiding principles: A case study of the MIMIC-IV emergency department module
<p><strong>Objective</strong> <br>To assess the use of Health Level Seven Fast Healthcare Interoperability Resources (FHIR<sup>®</sup>) for implementing the Findable, Accessible, Interoperable, and Reusable guiding principles for scientific data (FAIR). Additionally, present a list of FAIR implementation choices for supporting future FAIR implementations that use FHIR. <br><br><strong>Material and Methods</strong> <br>A case study was conducted on the Medical Information Mart for Intensive Care-IV Emergency Department dataset (MIMIC-ED), a deidentified clinical dataset converted into FHIR. The FAIRness of this dataset was assessed using a set of common FAIR assessment indicators. <br><br><strong>Results</strong> <br>The FHIR distribution of MIMIC-ED, comprising an implementation guide and demo data, was more FAIR compared to the non-FHIR distribution. The FAIRness score increased from 60 to 82 out of 95 points, a relative improvement of 37%. The most notable improvements were observed in interoperability, with a score increase from 5 to 19 out of 19 points, and reusability, with a score increase from 8 to 14 out of 24 points. A total of 14 FAIR implementation choices were identified. <br><br><strong>Discussion</strong> <br>Our work examined how and to what extent the FHIR standard contributes to FAIR data. Challenges arose from interpreting the FAIR assessment indicators. This study stands out for providing a real-world example of a dataset that was made more FAIR using FHIR. <br><br><strong>Conclusion</strong> <br>To the best of our knowledge, this is the first study that formally assessed the conformance of a FHIR dataset to the FAIR principles. FHIR improved the accessibility, interoperability, and reusability of MIMIC-ED. Future research should focus on implementing FHIR in research data infrastructures. Keywords: FAIR Guiding Principles, HL7 FHIR, Reusable Data, MIMIC-IV</p>
Ambient noise from the atmosphere within the seismic hum period band: A case study of hurricane landfall
<p>Spectral analysis results, synthetic Green's functions, and seismic modeling results of this study.</p> <p>This work can be found at GitHub: <a href="https://github.com/NickJi98/Atm_Noise_2024_EPSL.git">https://github.com/NickJi98/Atm_Noise_2024_EPSL.git</a></p>
Managing competition between legacy television services and video streaming platforms in Hungary in the early 2020s – A case study [Secondary documentary sources]
<p>Secondary documentary sources used in the paper entitled "Managing competition between legacy television services and video streaming platforms in Hungary in the early 2020s – A case study"</p>
Stroke case - Smart Belt Dataset
<p><span><span>The dataset contains 22,056,714 samples collected from patients with stroke. The data was gathered using a smart belt with accelerometer and gyroscope sensors. Two belts were used to record the physical activities of the patients, where Belt 1 (B1) comprised 3,158,873 samples, and Belt 2 (B2) contained 18,897,841 samples. Each belt was attached at specific body locations around the waist, including the left, right, and middle hip. The variables generated from the sensors were recorded at a frequency of 100Hz and are described as follows:</span></span></p> <ol> <li> <p><span><span><strong>Packet ID</strong></span></span><span><span>: distinguishes data packets that change with time. </span></span></p> </li> <li> <p><span><span><strong>Timestamp:</strong></span></span><span><span> the time that a reading was taken on a sensor</span></span></p> </li> <li> <p><span><span><strong>Timer:</strong></span></span><span><span> Timer of the sensor</span></span></p> </li> <li> <p><span><span><strong>Acceleration X:</strong></span></span><span><span> Linear acceleration in the X-axis</span></span></p> </li> <li> <p><span><span><strong>Acceleration Y:</strong></span></span><span><span> Linear accelerations in the y-axis </span></span></p> </li> <li> <p><span><span><strong>Acceleration Z:</strong></span></span><span><span> Linear acceleration in the z-axis </span></span></p> </li> <li> <p><span><span><strong>Gyroscope X:</strong></span></span><span><span> Angular acceleration in the x-axis </span></span></p> </li> <li> <p><span><span><strong>Gyroscope Y:</strong></span></span><span><span> Angular acceleration in the y-axis </span></span></p> </li> <li> <p><span><span><strong>Gyroscope Z:</strong></span></span><span><span> Angular acceleration in the z-axis</span></span></p> </li> <li> <p><span><span><strong>Temperature:</strong></span></span><span><span> internal temperature for signal compensation</span></span></p> </li> </ol> <p><span><span>After acquiring raw sensor signals, a series of minor preprocessing tasks were performed on this dataset. These include reformatting the data with a suitable format, removing null values, and preparing the data for analysis.</span></span></p>
VEBA 2.0 Case Studies
<p>Contains genomes, genome/protein clusters, taxonomic classifications, protein annotations, module completion ratios, biosynthetic potential (and CRISPR-Cas systems for case study 2), phylogenetic trees, and all data used for case studies.</p> <p>* CaseStudy_1-MarineEukaryotes.tar.gz (72MB)<br>* CaseStudy_2-SiberianPermafrost.tar.gz (106MB)<br>* CaseStudy_3-WhiteTailedDeer.tar.gz (4.8MB)</p>
Assessing Heavy Metal Contamination in Agricultural Soils: A Predictive Model Integrating GIS Tools and Probability-Risk Matrix – Case Study: Guarda Region, Portugal
<p>In these files we can find the final risk map of heavy metal contamination for the guarding area in Portugal obtained according to the methodology explained in the paper "Assessing Heavy Metal Contamination in Agricultural Soils: A Predictive Model Instegrating GIS Tools and Probability-Risk Matrix - Case Study: Guarda Region (Portugal)</p> <p>Final Risk Equal.tiff: GeoTiff with a pixel size of 30m. EPSG:3763 - ETRS89 / Portugal TM06</p> <p>Also attached is the symbolisation for the image in .qml (Quantum GIS Layer Style File) format.</p> <p>A file called RISK RECLASS is also available, where you can find the risk classification maps for each of the studied factors: </p> <ul> <li>Proximity to roads</li> <li>Proximity to industrial areas</li> <li>Ph</li> <li>Soil organic content</li> <li>Slope</li> <li>Soil texture</li> <li>Mining extraction areas </li> <li>Drainage</li> </ul> <p>finally a DATABASE file where the data of the 360 points for the calculation of the risk maps can be found. </p>
Figure 2 in The carrion beetle Oxelytrum discicolle (Coleoptera: Silphidae) and the estimative of the minimum post-mortem interval in a forensic case in Brasília, Brazil
Figure 2. Oxelytrum discicolle larvae in the skull.
Alien plant species are precursors for invasion: a case study of Alternanthera brasiliana (L.) Kuntze in Ile-Ife (Nigeria)
<p>The impact of <em>Alternanthera brasiliana</em> on vegetation and soil seed bank was assessed in Ile-Ife, Nigeria. Ten sample plots, 10 m x 10 m each, were established in invaded plant communities with high density of <em>Alternanthera brasiliana</em> and adjacent uninvaded plant communities where the weed species has low density. In each sample plot, twenty 1 m x 1 m quadrats were randomly laid and all rooted plant species were identified and counted. Post-dispersal soil seed bank was collected by randomly taking five core samples of top soil per sample plot to estimate the soil seed bank density and floristics of the sites. The species composition of soil seed bank was compared with that of the above-ground vegetation so as to assess the invader's impact on the vegetation using Sorensen's index of similarity. The results showed that <em>Alternanthera brasiliana</em> invasion significantly impacted on the species diversity (<em>t</em> = 5.27; <em>df</em> = 18; <em>p</em> = 0.0003) and evenness of species distribution (<em>t</em> = 4.50; <em>df</em> = 18; <em>p</em> = 0.00005) in the aboveground vegetation, and the species diversity (<em>t</em> = 5.37; <em>df</em> = 18; <em>p</em> = 0.00004) and evenness of species distribution (<em>t</em> = 6.19; <em>df</em> = 18; <em>p</em> < 0.0001) in the soil seed bank. This study concluded that <em>Alternanthera brasiliana</em> has significantly caused alterations in key parameters of the aboveground vegetation and those of the soil seed bank. It is likely that with increasing resident time, these alterations might increase more significantly to enhance the spread of <em>Alternanthera brasiliana</em>.</p>
Data for: Inversion for Inferring Solar Meridional Circulation: The Case with Constraints on Angular Momentum Transport inside the Sun
<p>Solar meridional circulation profiles inferred by Hatta, Hotta, and Sekii (2024) ("Inversion for Inferring Solar Meridional Circulation: The Case with Constraints on Angular Momentum Transport inside the Sun"). Detailed information about the dataset can be found in a Readme pdf file. </p>
Figure 7 in Animal diversity in the mangrove forest at Bichitrapur of Balasore district, Odisha, India- A case study
Figure 7. Onchidium typhae on the wooden hole of mangrove.
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.