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7,378 results for “case”
Fig. 1 in Long Term (1985-2018) Changes Of The Habitat Suitability Of European Souslik Assessed By Maxent Modelling Based On Landsat Satellite Imagery - A Case Study From A Mountain Landscape Of Central Bulgaria
Fig. 1. Satellite view of the study area. White circles represent the location of the colonies
Figs 1–3 in Effects of diet and feed composition on antibacterial activity of hemolymph of saproxylic beetles: A case study of Zophobas atratus (Coleoptera: Tenebrionidae)
Figs 1–3. Results of disk-diffusive test. Effects of artificial fungi-based and standard
Figs 6, 7 in Effects of diet and feed composition on antibacterial activity of hemolymph of saproxylic beetles: A case study of Zophobas atratus (Coleoptera: Tenebrionidae)
Figs 6, 7. Results of photometric bacterial test. Viability of gram-negative E. сoli ATCC
Figs 4, 5 in Effects of diet and feed composition on antibacterial activity of hemolymph of saproxylic beetles: A case study of Zophobas atratus (Coleoptera: Tenebrionidae)
Figs 4, 5. Results of photometric bacterial test. Dynamics of effects of artificial and
Figure 5 in Breeding biology review of White-backed Stilt Himantopus melanurus in Brazil and a case study in the largest restinga protected area (Aves, Charadriiformes, Recurvirostridae)
Figure 5. Footprints records of possible predators and cattle trampling near nests of White-backed Stilt Himantopus melanurus in Restinga de Jurubatiba National Park. (A) Footprints of domestic dogs and trampling of cattle in the Visgueiro lagoon (2018). (B) crab-eating fox (Cerdocyon thous) footprints, and (C) crab-eating raccoon (Procyon cancrivorus) footprints in adjacent area (2020). Photos: Lucas R.M. Porto.
Figure 4 in Breeding biology review of White-backed Stilt Himantopus melanurus in Brazil and a case study in the largest restinga protected area (Aves, Charadriiformes, Recurvirostridae)
Figure 4. Predated/degraded eggs of White-backed Stilt Himantopus melanurus in Restinga de Jurubatiba National Park in October 2018. A, B and C: Colony 1 (Visgueiro), D: Colony 2 (Maria Menina). Photos: Lucas R.M. Porto.
Figure 3 in Breeding biology review of White-backed Stilt Himantopus melanurus in Brazil and a case study in the largest restinga protected area (Aves, Charadriiformes, Recurvirostridae)
Figure 3. Frequency of occurrence of the materials used to build the nests of the White-backed Stilt Himantopus melanurus in the Restinga de Jurubatiba National Park and adjacent area.
Figure 2 in Breeding biology review of White-backed Stilt Himantopus melanurus in Brazil and a case study in the largest restinga protected area (Aves, Charadriiformes, Recurvirostridae)
Figure 2. Nests of White-backed Stilt Himantopus melanurus monitored in Restinga de Jurubatiba National Park and adjacent area. A = Nest built with saltmarsh plant Sesuvium portulacastrum L. and suspended over cattle feces; B = Nest with dry saltmarsh plant and mud fragments; C = Nest with shells, saltmarsh plant and mud; D = Nest with mud and dry saltmarsh plant fragments. Photos: Lucas R.M. Porto.
Figure 6 in Breeding biology review of White-backed Stilt Himantopus melanurus in Brazil and a case study in the largest restinga protected area (Aves, Charadriiformes, Recurvirostridae)
Figure 6. Successful nesting records of the White-backed Stilt Himantopus melanurus in Restinga de Jurubatiba National Park and adjacent area. (A) White-backed Stilt chicks found in Visgueiro lagoon (September 2018); (B) Hatchling and eggs in the Maria Menina Lagoon (October 2018); (C and D) Chicks in the nests in Ubatuba lagoon (September 2019). Photos: Lucas R.M. Porto.
Figure 1 in Breeding biology review of White-backed Stilt Himantopus melanurus in Brazil and a case study in the largest restinga protected area (Aves, Charadriiformes, Recurvirostridae)
Figure 1. Breeding records of White-backed Stilt Himantopus melanurus in Brazil (WikiAves – blue, eBird – orange and literature – yellow, Table 2) and this study area (red) with colonies identified in the Restinga de Jurubatiba National Park and adjacent area, in 2018, 2019 and 2020, in the northern coast of Rio de Janeiro state. *Colonies: 1 = Visgueiro/2018; 2 = Maria Menina/2018; 3 = Robalo/2018; 4 = Ubatuba/2019; 5 = Visgueiro/2020; 6 = Adjacent Area/2020.
An Analysis of the Current Bibliographical Data Landscape in the Humanities. A Case for the Joint Bibliodata Agendas of Public Stakeholders - video presentation
<p>A video presenting the DARIAH's Bibliographical Data Working Group entitled <em>An Analysis of the Current Bibliographical Data Landscape in the Humanities. A Case for the Joint Bibliodata Agendas of Public Stakeholders. </em>The report is freely available on Zenodo: <a href="https://zenodo.org/record/6559857#.Y0XDo3ZBy5f">https://zenodo.org/record/6559857#.Y0XDo3ZBy5f</a>. </p> <p>This presentation aims to present the original work - co-authored by 18 WG's members - in a condensed manner.</p>
Understanding the Impact of Digital Technology: a Case Study in Rural Areas [Supplementary Material]
<p>This package contains supplementary material associated to the paper "Understanding the Impact of Digital Technology: a Case Study in Rural Areas". </p> <p><em>Abstract:</em> Designing systems that account for sustainability concerns demands for a better understanding of the impact that digital technology interventions can have on a certain socio-technical context. However, limited studies are available about the elicitation of impact-related information from stakeholders. This paper reports the experience of the authors in identifying the impact of digitalisation in remote mountain areas, in the context of a system for ordinary land management and hydro-geological risk control. Based on a set of interviews and a workshop, we reconstructed the current socio-technical system. Furthermore, we elicited information about the impact of digital technologies that were introduced in the specific context in recent years (GIS software, instant messaging apps, sensors, drones, etc.). Positive impacts are mostly economic and organisational. Negative ones are higher stress due to the excess of connectivity, and partial reduction of decision-making abilities. Our study contributes to the literature with a set of impacts specific to the case, and a list of lessons learned from the experience.</p> <p>The package contains the following files:</p> <p>1. Socio-technical System.pdf: a graphical representation of the socio-technical system that has been reconstructed by the authors of the paper.</p> <p>2. Description of System Entities.pdf: detailed description of the entities represented in the socio-technical system.</p> <p>3. Incremental Data Analysis.pdf: graphs depicted during data analysis, to represent relations between entities, towards the representation of the socio-technical system. </p> <p>4. Impacts and quotes - selected examples (EN).pdf: sample quotes (translated from Italian) associated to the impacts identified. </p>
Biomedical Entities and Relations on Spanish Clinical Case Corpus: BERSCCC
<p>This first version of a spanish corpus contains 200 clinical reports annotated with biomedical entities and semantic relations. <br> These reports belong to the Spanish Clinical Case Corpus (SPACCC) (https://doi.org/10.5281/zenodo.2560316)<br> and each of them has been annotated by three persons that work in the medicine, biomolecular or pharmaceutic area.</p> <p>The annotators had to identify the following thirteen types of entities in the spanish lenguage: Enfermedad/Síndrome, Gen, Parte del cuerpo/Órgano, Glúcido, Procedimiento de Diagnóstico, Proteína, Procedimiento Terapeútico, Síntoma/Signo, Sustancia Farmacológica, Lípido, Organismo, Químico Orgánico and Abreviatura/Sigla/Alias.<br> And the next eight semantic relations: Analiza, Altera, Causa, Diagnostica, Manifestación de, Produce, Trata and Refiere a. </p> <p>Finally there were identified 6,636 biomedical entities (37,081 mentions) and 4,864 semantic relations (7,622 mentions).</p> <p>These resources are freely distributed under a Creative Commons Attribution 4.0 International License.<br> The scripts used to create this corpus can be found at: https://github.com/drugs4covid/bio-corpora</p> <p>Author: Lucía Sánchez González, Ontology Engineering Group, Universidad Politécnica de Madrid.</p> <p>Supervisors: </p> <p>- Carlos Badenes Olmedo, Ontology Engineering Group, Universidad Politécnica de Madrid.</p> <p>- María Poveda Villalón, Ontology Engineering Group, Universidad Politécnica de Madrid.</p> <p>Project Member: Óscar Corcho García, Ontology Engineering Group, Universidad Politécnica de Madrid.</p> <p> Contact:</p> <p>Lucía Sánchez González at lu.sanchez@alumnos.upm.es or lusangonz99@gmail.com</p> <p>Acknowledgments to Project DRUGS4COVID++: Servicios de Inteligencia Artificial para la<br> creación de un grafo de conocimientos sobre fármacos usados en el control clínico de la<br> enfermedad, a partir de la explotación de grandes corpus de documentación científica sobre<br> SARS-COV-2 y COVID-19-AYUDAS FUNDACIÓN BBVA A EQUIPOS DE<br> INVESTIGACIÓN CIENTÍFICA SARS-CoV-2 y COVID-19.</p> <p> </p>
Virtual cohort of fetal cases with suspected coarctation of the aorta from fetal three-dimensional magnetic resonance images
<p>The present dataset is a supplementary dataset to the paper: Hermida, U., van Poppel, M.P.M., Lloyd, D.F.A. <em>et al.</em> Learning the Hidden Signature of Fetal Arch Anatomy: a Three-Dimensional Shape Analysis in Suspected Coarctation of the Aorta. <em>J. of Cardiovasc. Trans. Res.</em> (2022). https://doi.org/10.1007/s12265-022-10335-9</p> <p><strong>Dataset Description: </strong></p> <p>We present a database of fetal great arch anatomical models derived from a statistical shape model (SSM) of fetuses with suspected coarctation of the aorta (CoA). The dataset consists of 1000 meshes including the fetal ascending aorta, arterial duct and descending aorta. For each synthetic case, the corresponding PCA coefficients for the 10 first PCA modes, as well as their CoA risk score, are shared. PCA scores are provided both as raw scores and Z-scores. </p> <p>To build the SSM, a dataset of 112 motion-corrected 3D fetal cardiovascular magnetic resonance (CMR) images and their corresponding segmentations from cases with suspected CoA was used. Data included confirmed CoA cases as well as false positive (FP) cases. Centerlines were extracted and aligned to build the SSM of the fetal great arches. </p> <p><strong>Source of funding</strong></p> <p>This work was supported by the Wellcome Trust IEH Award [102431] (iFIND project), by core funding from the Wellcome/EPSRC Centre for Medical Engineering [WT203148/Z/16/Z] and by the Rosetrees Trust [A2725]. The research was funded by the National Institute for Health Research (NIHR) Biomedical Research Centre based at Guy’s and St Thomas’ NHS Foundation Trust and King’s College London and supported by the NIHR Clinical Research Facility. The views expressed are those of the author(s) and not necessarily those of the NHS, the NIHR or the Department of Health. D.F.A. Lloyd acknowledges support from the Rothschild Foundation (2020/2017). P. Lamata holds a Wellcome Trust Senior Research Fellowship (209450/Z/17/Z).</p>
Metabarcoding for biodiversity inventory blind spots: A test case using the beetle fauna of an insular cloud forest
<p>Soils harbour a rich arthropod fauna, but many species are still not formally described (Linnaean shortfall), and the distribution of those already described is poorly understood (Wallacean shortfall). Metabarcoding holds much promise to fill this gap, however, nuclear copies of mitochondrial genes, and other artefacts lead to taxonomic inflation, which compromises the reliability of biodiversity inventories. Here we explore the potential of a bioinformatic approach to jointly "denoise" and filter non-authentic mitochondrial sequences from metabarcode reads to obtain reliable soil beetle inventories and address open questions in soil biodiversity research, such as the scale of dispersal constraints in different soil layers. We sampled cloud forest arthropod communities from 49 sites in the Anaga peninsula of Tenerife (Canary Islands). We performed whole organism community DNA (wocDNA) metabarcoding, and built a local reference database with COI barcode sequences of 310 species of Coleoptera for filtering reads and the identification of metabarcoded species. This resulted in reliable haplotype data after considerably reducing nuclear mitochondrial copies and other artefacts. Comparing our results with previous beetle inventories, we found: (i) new species records, potentially representing undescribed species; (ii) new distribution records, and; (iii) validated phylogeographic structure when compared with traditional sequencing approaches. Analyses also revealed evidence for higher dispersal constraint within deeper soil beetle communities, compared to those closer to the surface. The combined power of barcoding and metabarcoding contribute to mitigate the important shortfalls associated with soil arthropod diversity data, and thus address unresolved questions for this vast biodiversity fraction.</p>
Data from: Quantitative plant taphonomy: the cosmopolitan Mesozoic fern Weichselia reticulata as a case study
<p>A quantitative approach to plant taphonomy focusing on preservation type and fragment size is tested by comparing 3338 <em>Weichselia reticulata </em>fragments from 25 Lower Cretaceous localities of different ages and depositional environments. Moreover, palaeobiological insights are also obtained from the taphonomic analyses. In the case of the specimens of <em>Weichselia reticulata</em> included in this work, charred remains are the most frequent preservation type. They are the smallest and most homogeneous in size, probably due to the fragmentation of the fronds while burning and to the fact that burnt fragments are more fragile and break easily during the initial abrasion and attrition produced by transport. The sizes of charred fragments vary depending on the depositional environment, suggesting that biostratinomic processes, and not fire temperature, are the main cause for size differences, and providing valuable insight into the distance the remains might have traveled from production to final deposition. The taphonomic analyses suggest that <em>Weichselia reticulata</em> is allochthonous in all the localities analysed, and that its habitat would have been prone to fire and not far from freshwater systems. This case study shows promising results that can be implemented on different plant groups and chronostratigraphic ages, allowing for the proposal of a taphonomic model.</p>
Aesthetic responses to the Covid-19 pandemic: The corona-performance No Problama. A case study
<p>The video files document the artistic content of the corona performance <em>No problama. </em>Each video presents music, verbal texts and photos from work processes and the final performance on 21 May 2021. The performance mirrors events, emotions and individuals' responses to the crisis during the first weeks of the lockdown in Norway in March 2020. Music students, children, teachers and dancers took part in the project.</p>
Case Bottle Fragment
Dark olive green case bottle base fragment, ca 1745-1850s This model was made using RealityCapture software by Capturing Reality Model by Emma Dietrich Source: Objaverse 1.0 / Sketchfab
Perfume bottle in the case
ID no.: FZRS/53 Museum: Collection of the Sosenko Family Foundation https://muzea.malopolska.pl/en/objects-list/1730 Digitalisation: RDW MIC, Virtual Małopolska project Source: Objaverse 1.0 / Sketchfab
Roger & Gallet perfume case
ID no.: FZRS/72 Museum: Collection of the Sosenko Family Foundation https://muzea.malopolska.pl/en/objects-list/1683 Digitalisation: RDW MIC, Virtual Małopolska project Source: Objaverse 1.0 / Sketchfab
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.