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7,378 results for “case”
METIS case study PSHA: openquake hdf5 output files for Conditional Spectra
<p>This dataset (V2) contains the disaggregation results, the hdf5 files for the Conditional Spectra are in V1</p>
Figures 1 in Biogeographical affinities and evolution of terrestrial fauna in the Qinghai-Tibetan Plateau and the Himalayas: a case study of Aphidomorpha
Figures 1. Generalized tracks and nodes based on the global distributions of aphid species in the QTPH. Generalized tracks are indicated by colored lines, and nodes are indicated with orange dots. A generalized track is a summary of replicated distribution patterns of different taxa (species); a node is a distribution area where two or more generalized tracks intersect. Generalized tracks and nodes together indicate biogeographical affinities between aphid faunas in the QTPH and other regions.
Understanding the risks of co-exposures in a changing world: A case study of dual monitoring of the biotoxin domoic acid and Vibrio spp. in Pacific oyster
<div> <p><span>Assessing the co-occurrence of multiple health risk factors in coastal ecosystems is challenging due to the complexity of multi-factor interactions and limited availability simultaneously collected data. Understanding co-occurrence is particularly important for risk factors that may be associated with or occur in similar environmental conditions. In marine ecosystems, the co-occurrence of harmful algal bloom toxins and bacterial pathogens within the genus <em>Vibrio </em>may impact both ecosystem and human health. This study examined the co-occurrence of <em>Vibrio</em> spp. and domoic acid (DA) produced by the harmful algae <em>Pseudonitzschia</em> by 1) analyzing existing California Department of Public Health monitoring data for <em>V. parahaemolyticus</em> and DA in oysters; 2) and conducting a one-year seasonal monitoring of these risk factors across two Southern California embayments. Existing public health monitoring efforts in the state were robust for individual risk factors; however, it was difficult to evaluate the co-occurrence of these risk factors in oysters due to low number of co-monitoring instances between 2015 and 2020. Seasonal co-monitoring of that DA and <em>Vibrio</em> spp. (<em>V. vulnificus</em> or <em>V. parahaemolyticus</em>) at two embayments revealed the co-occurrence of these health risk factors in 35% of sampled oysters in most seasons. Interestingly, both the overall detection frequency and co-occurrence of these risk factors was considerably less frequent in water samples. These findings may in part suggest the slow depuration of <em>Vibrio </em>spp. and DA in oysters as residual levels may be retained. This study expanded our understanding of the simultaneous presence of DA and <em>Vibrio</em> spp. in bivalves and demonstrate the feasibility of co-monitoring different risk factors from the same sample. Individual programs monitoring for different risk factors from the same sample matrix may consider combining efforts to reduce cost, streamline the process, and better understand the prevalence of co-occurring health risk factors.</span></p> </div>
Figure 2 in Differences in the soil seed bank of a mining area and its surroundings: a case study inserted in the Cerrado domain
Figure 2. Curves of species accumulation for the seed bank of Vazante city, northwest of the state of Minas Gerais, Brazil. A. Accumulation curve for the seed bank and confidence interval in a mining area and surrounding area separated; B. Accumulation curve for the seed bank, confidence interval and first-order Jackknife richness estimator in a mining area and surrounding area together.
Figure 3 in Differences in the soil seed bank of a mining area and its surroundings: a case study inserted in the Cerrado domain
Figure 3. Two-dimensional ordination diagram based on the nonmetric multidimensional scaling (nMDS) for species density of the seed bank from a mining pit and surrounding areas in Vazante municipality, northwest of the state of Minas Gerais, Brazil.
Figure 5 in The rarity of gastroliths in sauropod dinosaurs - a case study in the Late Jurassic Morrison Formation, western USA
Figure 5. Cedarosaurus site field sketch, in which the gastrolith cluster is clearly visible. Three isolated gastroliths were dispersed throughout the skeleton. Redrawn and modified from Sanders et al. (2001).
Figure 7 in The rarity of gastroliths in sauropod dinosaurs - a case study in the Late Jurassic Morrison Formation, western USA
Figure 7. Plan-view map of the SI Quarry showing a scavenged juvenile Camarasaurus with vertebrate tracks, abundant theropod teeth, and gastroliths. Redrawn and modified from Jennings and Hasiotis (2006).
Figure 4. Carbonized material with a in The rarity of gastroliths in sauropod dinosaurs - a case study in the Late Jurassic Morrison Formation, western USA
Figure 4. Carbonized material with a single gastrolith from Howe Quarry. The presence of plant matter surrounding the clast is interpreted as evidence of former stomach contents. This is specimen number D18-15 in the Sauriermuseum Aathal.
Figure 3 in The rarity of gastroliths in sauropod dinosaurs - a case study in the Late Jurassic Morrison Formation, western USA
Figure 3. Section of R. T. Bird's Howe Quarry map showing the Barosaurus bones (yellow; A – pubis; B – abdominal rib?) as well as the gastroliths seen in the photograph in Fig. 2. The bones of the Barosaurus individual were partially articulated. Redrawn and modified from Rice and Bierwert (1935) and Michelis (2003).
Figure 6 in The rarity of gastroliths in sauropod dinosaurs - a case study in the Late Jurassic Morrison Formation, western USA
Figure 6. Distribution of bones and stones at the Diplodocus "Seismosaurus" longus locality (a) and cross section of the quarry (b). Note that bone-bearing blocks occurred below the first pebble lag and that there are two concentrations of gastroliths. A defined cluster was found in the pelvic area, whereas the majority of the stones were dispersed in the area north of the bone material. Redrawn and modified from Lucas (2000), and including information from Gillette (1994) (in a) and Schwartz and Manley (1992) (in b).
Figure 1 in The rarity of gastroliths in sauropod dinosaurs - a case study in the Late Jurassic Morrison Formation, western USA
Figure 1. Studied dinosaur localities in the western USA. The surrounding line represents the extension of the Morrison Formation. Abbreviations: BCQ – Bone Cabin Quarry; CLDQ – Cleveland- Lloyd Dinosaur Quarry; DMDQ – Dry Mesa Dinosaur Quarry; DNM (CQ) – Dinosaur National Monument (Carnegie Quarry); Howe Q and HSQ – Howe Quarry and Howe Stephens Quarry; SIQ – "Something Interesting Quarry" (Camarasaurus). The red bones represent sites where gastroliths have been found in association with bones. Redrawn and modified from Dodson et al. (1980b).
Figure 2 in The rarity of gastroliths in sauropod dinosaurs - a case study in the Late Jurassic Morrison Formation, western USA
Figure 2. Photograph of gastroliths found at Howe Quarry. Next to a Barosaurus pubis (a) and an elongated bone (b), probably an abdominal rib, the cluster of 64 stones is visible. Modified from Bird (1985).
Baseline of the WEAI for East and West African case studies within EWA-BELT Project
<p>The Women’s Empowerment in Agriculture Index (WEAI) is a survey-based tool that measures women’s empowerment and inclusion in agricultural activities.</p> <p>This database contained the baseline "pre-project activities" collected from October 2022 to January 2023 in 40 households per each Country involved (Ethiopia, Kenya, Tanzania, Burkina, Ghana). A total of 219 households were involved collecting 381 interviews, in 65 households the primary respondent was a woman, so we had not to interview a male secondary respondent. </p> <p>There are 3 types of surveys to calculate the WEAI: the original WEAI, the Accelerated WEAI (A – WEAI) and the PRO WEAI. The original WEAI is the first developed by IFPRI, the A-WEAI is a shorter and faster version, while the PRO WEAI is an extended version aimed to cover more areas of empowerment. We chose A-WEAI because it was faster and simpler to administer, considering that it is the first time for most of the partners to work on this survey and that the participants have already answered to many surveys, hence they might answer with more attention to a short and fast survey.</p>
BioPropaPhenKG Towards Monkeypox and COVID-19 Case Tracing and Analysing
<p>This repository contains:</p> <ul> <li>The BioPropaPhen ontology created from PropaPhen, being specialized with UMLS and World Knowledge Graph ontologies;</li> <li>A neo4j 4.4.3 dump file of the BioPropaPhenKG knowledge graph with WHO ground truth data about COVID-19 and Monkeypox, and enhanced presence edges between UMLS entities to World KG entities for evaluating the<a href="https://github.com/Gabriel382/DDPF-Health-Risks"> Description-Detection-Prediction Framework </a></li> </ul> <p>The datasets used for enhancing the KG are:</p> <table> <tbody> <tr> <td>Phenomenon</td> <td>Dataset</td> <td>Period</td> <td>Documents</td> <td>Source</td> <td>Link</td> </tr> <tr> <td>COVID-19</td> <td>Aylien</td> <td>Nov-2019</td> <td>8</td> <td>Online News</td> <td>ttps://aylien.com/resources/datasets/coronavirus-dataset</td> </tr> <tr> <td>COVID-19</td> <td>CORD-19</td> <td>Dec-2019</td> <td>720</td> <td>Medical Articles</td> <td>https://allenai.org/data/cord-19</td> </tr> <tr> <td>COVID-19</td> <td>RedditCOVID</td> <td>Feb-2020</td> <td>4,980</td> <td>Social Media</td> <td>https://paperswithcode.com/dataset/the-reddit-covid-dataset</td> </tr> <tr> <td>Monkeypox</td> <td>Mined from BBC</td> <td>May-2022</td> <td>27</td> <td>Online News</td> <td> </td> </tr> <tr> <td>Monkeypox</td> <td>Mined from Pubmed</td> <td>June-2022</td> <td>36</td> <td>Medical Articles</td> <td> </td> </tr> <tr> <td>Monkeypox</td> <td>MonkeyPox2022</td> <td>May-2022</td> <td>33,826</td> <td>Social Media</td> <td>https://doi.org/10.3390/idr14060087</td> </tr> </tbody> </table>
Fig. 4 in Altai Mountains - cradle of hybrids and introgressants: A case study in Veronica subg. Pseudolysimachium (Plantaginaceae)
Fig. 4. STRUCTURE results showing the probability of ancestry of each individual (horizontal axis) to each of K = 2 populations (vertical axis) in all the five scenarios. A, Veronica spicata × V. pinnata; B, V. incana and V. longifolia; C, V. longifolia and V. porphyriana; D & E, V. pinnata and V. porphyriana involving putative hybrids of V. ×schmakovii and V. ×sessiliflora. Details of the exact posterior probabilities of each putative hybrid individual and their corresponding parents are given in suppl. Table S3.
Fate and detectability of rare gas hydride ions in nova ejecta: A case study with nova templates
<p>The electron-impact HeH+ rovibrational data at temperatures up to 20,000 K used in the paper: "Fate and detectability of rare gas hydride ions in Novae ejecta: A case study with Nova templates".</p>
Data and scripts for the publication "A case for open communication of bugs in climate models"
<p>Primary data and scripts for the publication "A case for open communication of bugs in climate models" (submitted to GMDD as EGUSPHERE-2024-3493)</p>
Interim Data and Results for Case Study: Funding rules that promote equity in climate adaptation outcomes
<p>Interim exposure data and results for the published case study. External raw data is available <a href="https://zenodo.org/records/14260630">here</a> and the remaining raw data is generated via code. This is too large to share on Zenodo. There are stochastic aspects in going from raw exposure to interim exposure data and interim exposure data to results, which is why we make the specific interim exposure data and results of the published study available here. Other interim data is not stochastic and can be reproduced following the code reproduction instructions (see https://github.com/abpoll/j40_gc). Please see the underlying study for more details about the methods. The data here can be generally reproduced (not bit-wise) following the code and instructions at this repository: https://zenodo.org/records/14261361.</p> <p> </p> <p>The interim exposure data is named "exp" and the results data is named "results."</p>
Model output from 'Modelling the circular economy potential of micromobility: A Finnish case study for e-scooters and e-bikes'
<p>These two files include the results for e-scooters and e-bikes. The dynamics of the BAU scenario is shown in the first few columns, then follow the sensitivity analyses. The column names should be self-explanatory, subject to reading the paper.</p>
How to render species comparable taxonomic units through deep time: A case study on intraspecific osteological variability in extant and extinct lacertid lizards
<p>Generally, the species is considered to be the only naturally occurring taxon. However, species recognized and defined using different species delimitation criteria cannot readily be compared, impacting studies of biodiversity through Deep Time. This comparability issue is particularly marked when comparing extant with extinct species because the only available data for species delimitation in fossils are derived from their preserved morphology, which is generally restricted to osteology in vertebrates. Here, we quantify intraspecific, intrageneric, and intergeneric osteological variability in extant species of lacertid lizards using pairwise dissimilarity scores based on a data set of 253 discrete osteological characters for 99 specimens referred to 24 species. Variability is always significantly lower intraspecifically than between individuals belonging to distinct species of a single genus, which is in turn significantly lower than intergeneric variability. Average values of intraspecific variability and associated standard deviations are consistent (with few exceptions), with an overall average within a species of 0.208 changes per character scored. Application of the same methods to six extinct lacertid species (represented by 40 fossil specimens) revealed that intraspecific osteological variability is inconsistent, which can at least in part be attributed to different researchers having unequal expectations of the skeletal dissimilarity within species units. Such a divergent interpretation of intraspecific and interspecific variability among extant and extinct species reinforces the incomparability of the species unit. Lacertidae is an example where extant species recognized and defined based on a number of delimitation criteria show comparable and consistent intraspecific osteological variability. Here, as well as in equivalent cases, application of those skeletal dissimilarity values to paleontological species delimitation potentially provides a way to ameliorate inconsistencies created by the use of morphology to define species.</p>
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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.
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.