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7,378 results for “case”
"Wooden Hand from Mummy Case or Coffin"
This artifact is currently housed in the Olin Library Archives at Rollins College. Model made by Ellie Minette. Created in RealityCapture by Capturing Reality from 207 photos. Source: Objaverse 1.0 / Sketchfab
Videos supporting "Sociopolitical Evolution in Midrange Societies: The Prehispanic Pueblo Case", by Kohler et al.
<p>Videos of the tribute structure, group size, and group-type dynamics for each run reported in the manuscript.</p>
Augmented reality uses cases
<p>Augmented reality is technology that combines virtual reality with the real world. This video discuss the three categories of augmented reality uses.</p>
Genome-wide association results from Phase 1 data comparing uveitis-JIA cases to non-uveitis JIA samples
<p>Summary-level GWAS results for Phase 1 data affiliated with the manuscript "An amino acid motif in HLA-DRβ1 distinguishes patients with uveitis in juvenile idiopathic arthritis."</p> <p>Columns are:</p> <p> 1. CHR: chromosome</p> <p> 2. SNP: SNP identifier</p> <p> 3. BP: basepair position (hg19)</p> <p> 4. A1: minor allele and tested allele</p> <p> 5. A2: the other allele (major allele)</p> <p> 6. FRQ: frequency of the A1 allele</p> <p> 7. INFO: imputation info score</p> <p> 8. EFFECT: beta/effect size of the SNP</p> <p> 9. SE: standard error of the SNP</p> <p> 10. P: p-value at that SNP</p> <p> </p>
RDA IG Data Discovery Paradigms IG: Use Cases data
<p>The RDA Data Discovery Paradigms IG (https://www.rd-alliance.org/groups/data-discovery-paradigms-ig) aims to provide a forum where representatives from across the spectrum of stakeholders and roles pertaining to data search can discuss issues related to improving data discovery. The goal is to identify concrete deliverables such as a registry of data search engines, common test datasets, usage metrics, and a collection of data search use cases and competency questions.</p> <p>In order to identify the key requirements evident across data discovery use-cases from various scientific fields and domains, the Use Cases Task Force (https://www.rd-alliance.org/group/data-discovery-paradigms-ig/wiki/use-cases-prototyping-tools-and-test-collections-task-force) was initiated. Direct outcome of this task force is this collection of use cases outlining what users might wish to search for data and what supports they would expect a data repository should provide.</p>
Screenshot case-law-app
<p>This is a screenshot of the Case Law network visualization application (https://nlesc.github.io/case-law-app/), to be used in presentations or articles.</p>
Global sensitivity and uncertainty analysis of an atmospheric chemistry transport model: the FRAME model (version 9.15.0) as a case study
<p>Atmospheric chemistry transport models (ACTMs) are widely used to underpin policy decisions associated with the impact of potential changes in emissions on future pollutant concentrations and deposition. It is therefore essential to have a quantitative understanding of the uncertainty in model output arising from uncertainties in the input pollutant emissions. ACTMs incorporate complex and non-linear descriptions of chemical and physical processes which means that interactions and non-linearities in input–output relationships may not be revealed through the local one-at-a-time sensitivity analysis typically used. The aim of this work is to demonstrate a global sensitivity and uncertainty analysis approach for an ACTM, using as an example the FRAME model, which is extensively employed in the UK to generate source-receptor matrices for the UK Integrated Assessment Model and to estimate critical load exceedances. An optimised Latin hypercube sampling design was used to construct model runs within ± 40 % variation range for the UK emissions of SO<sub>2</sub>, NO<sub>x</sub> and NH<sub>3</sub>, from which regression coefficients for each input-output combination and each model grid (>10,000 across the UK) were calculated. Surface concentrations of SO<sub>2</sub>, NO<sub>x</sub> and NH<sub>3</sub> (and of deposition of S and N) were found to be predominantly sensitive to the emissions of the respective pollutant, while sensitivities of secondary species such as HNO<sub>3</sub> and particulate SO<sub>4</sub><sup>2-</sup>, NO<sub>3</sub><sup>-</sup> and NH<sub>4</sub><sup>+</sup> to pollutant emissions were more complex and geographically variable. The uncertainties in model output variables were propagated from the uncertainty ranges reported by the UK National Atmospheric Emissions Inventory for the emissions of SO<sub>2</sub>, NO<sub>x</sub> and NH<sub>3</sub> (± 4 %, ± 10 % and ± 20 % respectively). The uncertainties in the surface concentrations of NH<sub>3</sub> and NO<sub>x</sub> and the depositions of NH<sub>x</sub> and NO<sub>y</sub> were dominated by the uncertainties in emissions of NH<sub>3</sub>, and NO<sub>x</sub> respectively, whilst concentrations of SO<sub>2</sub> and deposition of SO<sub>y</sub> were affected by the uncertainties in both SO<sub>2</sub> and NH<sub>3</sub> emissions. Likewise, the relative uncertainties in the modelled surface concentrations of each of the secondary pollutant variables (NH<sub>4</sub><sup>+</sup>, NO<sub>3</sub><sup>-</sup>, SO<sub>4</sub><sup>2-</sup> and HNO<sub>3</sub>) were due to uncertainties in at least two input variables. In all cases the spatial distribution of relative uncertainty was found to be geographically heterogeneous. The global methods used here can be applied to conduct sensitivity and uncertainty analyses of other ACTMs.</p> <p>The dataset contains model outputs used for the sensitivity and uncertainty analyses.</p>
Hofstede's Cultural A Case Study: Working Performance of Chinese Expatriates in Dubai
<p>The data are from the paper " Hofstede’s Cultural A Case Study: Working Performance of Chinese Expatriates in Dubai".</p>
Data for article: Mapping temporal variations in ecosystem services: a case study of European wood supply and demand between 2008 and 2018
<p>The data consists of the indicators for spatio-temporal analysis of wood Ecosystem Service (ES) potential, supply, and demand across Europe between 2008 and 2018. This dataset was used for the analysis of temporal trends of wood ES in the study "Mapping temporal variations in ecosystem services: a case study of European wood supply and demand between 2008 and 2018".</p> <p>The data are collected and compiled from open access statistical databases. They consist of three parts:</p> <p>1. The PDF file with a detailed description of the data and all the input sources from which it was derived.</p> <p>2. The Zip file with 3 separate Excel files containing the short description of the indicators for mapping spatio-temporal changes, namely wood ES potential, wood ES supply and wood ES demand and their values between 2008 and 2018 at three different levels: continental, national and regional. Note that for the regional level only supply and demand indicators are available.</p> <p>3. The tiff file representing the spatial resolution for visualisation and analysis of the data.</p> <p> </p> <p> </p> <p>Resolution:</p> <p>Data are available for 3 spatial levels, in the temporal dimension between 2008 and 2018 (annually). All 3 indicators are available at continental (European) and national scales. The study area covers 24 countries of the European Union (EU) and Switzerland. Supply and demand are also available at regional level. At the regional scale, we assessed supply and demand using the nomenclature of territorial units for statistics (NUTS 3; n = 1061) and local administrative units (LAU; n = 957) from the year 2016 (<a href="https://ec.europa.eu/eurostat/web/gisco/geodata/reference-data/administrative-units-statistical-units.">Eurostat, 2016</a>). The visualisation of the resolution is available in the tiff file attached to the data.</p> <p>The data are visualised and analysed in the ETRS 1989 LAEA projection.</p> <p> </p> <p>For more information on the indicators used, data collection and processing, see the supplementary files of the published article.</p> <p> </p> <p> </p> <p><strong>DEFINITIONS of ES mapping indicators used in the study: </strong></p> <p><em>ES potential</em> - the hypothetical maximum yield of services potentially available for supply.</p> <p><em>ES supply</em> – the amount of the mobilized service within the ecosystem capable to provide a service at a given location in a certain time (frequently referred in literature as ES flow).</p> <p><em>ES demand </em>- the need for the ecosystem-based service by the end users. In this study demand is analysed from the perspective of service end-user.</p>
Supplementary material from: Modeling biodiesel properties by preference learning: case study of cetane number
<p><span>Data obtained from the available bibliography between the year 2002 and 2022. This document contains the FAME distribution and cetane number of 543 biodiesels.</span></p> <p><span> </span><span>The dataset is divided into three sections within the worksheet.</span></p> <ul> <li><span>The first section contains the definition of the data's feedstock and its source reference. The reference includes the year, DOI (if available, as some are collected from books), publication journal, article title, and authors.</span></li> <li><span>The second section describes the FAME distribution, starting from C4:0 up to C24:0, including a column of unidentified FAMEs.</span></li> <li><span>The third and final section describes the measured property Cetane Number.</span></li> </ul>
MixME Celtic Sea gadoid case study
<p>Input data objects to a MixME simulation. Contains the stock and fleet structures required to run a proof-of-concept Management Strategy Evaluation for Celtic Sea cod, haddock and whiting using MixME.</p>
Nitrogen fertilization plot level data - a Finnish case study
<p>The data is based on the fertilization study where we evaluated the spatial evenness of nitrogen (N) fertilization (measured fertilization dose on circular plots with radius of 7,98 m) in fertilized treatments and effects of fertilization treatments (target of 0, 150 and 200 kg N /ha) on short-term volume growth responses in two ground-fertilized (2018) Scots pine and in two airborne-fertilized (2019) Norway spruce study sites on medium fertile (Myrtillus-type, MT) upland forest sites in Eastern Finland. It was also studied the relationships between measured fertilization dose, N concentrations in needles and soil organic (humus) layer, and volume growth of trees (calculated based on diameter at breast height and height of sample trees) based on block level averages (based on data measured for three circular plots in each block). In each study area, we established three one hectare replicate blocks (with three circular study plots of 200 m² in each) for fertilizer treatments with target of 0, 150 and 200 kg N /ha. Spatial evenness of the fertilization was measured with textile funnels. Height, breast height diameter and vitality (living/dead) of trees were measured annually in each circular plot. Nutrient concentrations in needles (analysed in Yara laboratory in United Kingdom) and soil organic (humus) layer (analysed at UEF laboratory) were measured once. </p>
Solvent-triggered shape change in gradient-based 4D printed bilayers: case study on semi-crystalline polymer networks
<p>This dataset comes from the following paper:</p> <p>Lorenzo Bonetti, Aron Cobianchi, Daniele Natali, Stefano Pandini, Massimo Messori, Maurizio Toselli, Giulia Scalet, Solvent-triggered shape change in gradient-based 4D printed bilayers: case study on semi-crystalline polymer networks, Soft Matter, 2024. <a href="https://doi.org/10.1039/D4SM00304G" target="_blank" rel="noopener">https://doi.org/10.1039/D4SM00304G</a></p> <p>It contains:</p> <ul> <li>"Notes.pdf" describing all the files uploaded</li> <li>.xls files of the experimental data</li> <li>. m of the theoretical computations</li> </ul>
Case study input data set for article "Stochastic planning of energy system transformation pathways under uncertain industry demands"
<p>The data set contains input data for the model EMPRISE of Fraunhofer Institute for Energy Economics and Energy System Technology IEE. </p>
Data affiliated with "Solid bitumen as an indicator of petroleum migration, thermal maturity, and contact metamorphism: A case study in the Barrandian Basin (Silurian - Devonian), Czech Republic"
<p>Fourier transform infrared (FTIR) spectra affiliated with the publication "<span>Solid bitumen as an indicator of petroleum migration, thermal maturity, and contact metamorphism: A case study in the Barrandian Basin (Silurian - Devonian), Czech Republic" in International Journal of Coal Geology (<a title="Persistent link using digital object identifier" href="https://doi.org/10.1016/j.coal.2024.104493" target="_blank" rel="noreferrer noopener"><span>https://doi.org/10.1016/j.coal.2024.104493</span></a>).<br></span></p> <p><span>The FTIR data are saved as CSVs under the numbers and names corresponding to Table in Supplement 1. Columns A corresponds to wavenumbers in cm-1, columns B and C to absorbance measured in two measurements.</span></p>
Figure 3 in Animal diversity in the mangrove forest at Bichitrapur of Balasore district, Odisha, India- A case study
Figure 3. Sea anemone Diadumene lineata on the mangrove trunk.
Figure 8 in Animal diversity in the mangrove forest at Bichitrapur of Balasore district, Odisha, India- A case study
Figure 8. Sphaeroma terebrans and its juveniles colonize in wooden holes.
Data from: Skeletal mineralogy of marine organisms shaped by seawater temperature and evolutionary history - a case study of cheilostome bryozoans
<p>The record of CaCO<sub>3</sub> biominerals serves as a valuable repository documenting Earth's evolutionary history and environmental changes. An in-depth understanding of the mineralogical diversity within calcifying organisms is essential for interpreting the evolutionary record of CaCO<sub>3</sub> and evaluating the adaptability of biomineralizers to past and future environmental change. To offer insights into the relative importance of environment vs. phylogenetic history in determining mineralogy, this study explores the modern-day global distribution of mineralogies in cheilostome bryozoans.</p> <p>Cheilostome bryozoans vary considerably in their mineral composition: in our dataset 65% of the species possess purely calcite skeletons, 15% exclusively employ aragonite, and 20% exhibit mixed (i.e., calcite and aragonite) mineralogies. Temperature is the predominant measured environmental factor influencing bryozoan skeletal mineralogy, accounting for 20% of its variability across species, when phylogenetic relatedness is unaccounted for. Bryozoans in lower latitudes, characterized by higher seawater temperatures, have higher aragonite concentrations. By accounting for phylogenetic structure using a subset of 87 species for which we have topological information, 40% of the observed mineralogical variability could be attributed to present-day temperature. In contrast, depth and salinity played minor roles, explaining less than 1% of the mineralogical variation each.</p> <p>This study emphasizes the influence of evolutionary history on the mineralogical variability of calcifying organisms, even when it can be shown that a single environmental factor (temperature) explains a substantial amount of this variability. When confronted with changing temperature, calcifiers such as bryozoans are likely to respond in diverse ways, depending on the species, given their phylogenetic relatedness and the external conditions they meet.</p>
T-Factor. WP2 Dataset: Advanced Case Study Interviews for university of Łódź, Poland
<p>This dataset presents three anonymized interviews performed on-line by a researcher from the Department of Social Pedagogy of the University of Łódź, Poland as part of the activities in Work Package 2 of the T-Factor project. The content of that package is relevant to the issue of advance cases of meanwhile uses in Lodz. The interviewees represent different institutions or organizations involved in an urban regeneration in Łódź and their stories are focused on their understandings on meanwhile uses and the ways how they contribute to the overall effort to manage this time in Lodz.</p>
Example Case Data of Forward Radar Operator ZJU-AERO Release V0.6.1
<p>The NWP model grid data and radar observation products for the two demonstration cases of ZJU-AERO V0.6.1. </p> <p>./case-01-Haishen-2020-09-05.zip is for a demonstration forward simulation case of the space-borne radar.</p> <p>./case-02-Henan-2021-07-20.zip is for a demonstration forward simulation case of ground-based radar.</p> <p>./case-03-MeltingLayer-2023-02-05.zip is for a demonstration forward simulation case of melting layer.</p> <p>./case-04-Doksuri-2023-07-28.zip is for a demonstration forward simulation case of typhoon observed by ground based radar (as required by one of the reviewers of the GMD paper, new).</p> <p>For more details, please view the user manual in the software release of ZJU-AERO.</p>
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.