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3,225 results for “Case of study”
FIGURE 3 in Using an Asteraceae checklist to understand collection history, species density and conservation implications: a case study in the state of Alagoas, Northeastern Brazil
FIGURE 3. Results of the species richness (a) and collection density (b) analyses, and correlation between these two variables (c).
FIGURE 2 in Evaluating the taxonomy of macrofossils used in macroevolution: a case study of Artemisia (Asteraceae)
FIGURE 2. Leaf morphology of the macrofossils and extant Artemisia frigida leaves. A. Fossil leaf (redrawn from Zazula et al. 2003: Fig. 1d); B. Fossil leaf (redrawn from Zazula et al. 2007: Fig. 7i); C. Extant leaf central lobe of A. frigida; D. Extant upper leaf of A. frigida; E. Extant middle leaf of A. frigida; F. Extant lower leaf of A. frigida. Scale bar = 2 mm.
FIGURE 1 in Evaluating the taxonomy of macrofossils used in macroevolution: a case study of Artemisia (Asteraceae)
FIGURE 1. Leaf lobes and venation of Artemisia and its three closely related genera. A. A. igniaria; B. A. tridentata; C. A. chinensis; D. A. maritima; E. A. annua; F. A. stechmanniana; G. A. frigida; H. A. scoparia; I. Kaschgaria komarovii; J. Chrysanthemum indicum; K. Ajania pallasiana; L. fossil leaf (redrawn from Zazula et al. 2003); M. fossil leaf (redrawn from Zazula et al. 2007). Three pictures per species, 1 is the line drawing, 2 is the original image, and 3 is a partial enlarged view, showing the details of venation. Scale bar = 1 mm.
FIGURE 3 in Evaluating the taxonomy of macrofossils used in macroevolution: a case study of Artemisia (Asteraceae)
FIGURE 3. Corolla morphology of disc floret of extant Artemisia, its allies and the fossils. A. A. igniaria; B. A. tridentata; C. A. chinensis; D. A. maritima; E. A. annua; F. A. stechmanniana; G. A. frigida; H. A. scoparia; I. Kaschgaria komarovii; J. Chrysanthemum indicum; K. Ajania pallasiana; L. fossil (redrawn from Zazula et al. 2003: Fig. 1a). Scale bar = 1 mm.
FIGURE S1 in Evaluating the taxonomy of macrofossils used in macroevolution: a case study of Artemisia (Asteraceae)
FIGURE S1. Morphological comparison of Artemisia and its three closely related genera in the phylogenetic tree. The phylogenetic tree was summarized from Malik et al. (2017), Mei et al. (2016) and Sanz et al. (2008). The pictures in black boxes are A. A. igniaria; B. A. tridentata; C. A. chinensis; D. A. maritima; E. A. annua; F. A. stechmanniana; G. A. frigida; H. A. scoparia; and I. Kaschgaria komarovii; J. Chrysanthemum indicum; K. Ajania pallasiana; L1. fossil leaf (redrawn from Zazula et al. 2003); L2. fossil leaf (redrawn from Zazula et al. 2007); and L3. fossil corolla (redrawn from Zazula et al. 2003).
Data from: Remote work and remotization of infrastructure case study.
<p>This document includes a data set from a survey of research fields, groups, and situations where remote work is already practised which is used for Remote work and remotization of infrastructure case study.</p> <p> </p>
Knowledge-driven design and optimization of potent symmetric anticancer molecules: A case study on PKM2 activators
<p>All the raw data files including 3D structures of all the 200 virtually designed palindromic and non-palindromic activators, 3D structures of top 5 palindromic and non-palindromic activators in complex with PKM2 protein, starting and ending conformations of MD simulation structures with the .tpr files for all six simulations for PDA116 and NPDA4 are available in this dataset.</p>
Listeria - Case studies in Food Safety
<p>Webinar - Listeria - Case studies in Food Safety</p>
Key Performance Indicators - Costa Brava case study
<p>Monitored key performance indicators of the NextGen solution implemented in Costa Brava case study.</p>
Considerations on premises of recent (< 120 years) sedimentation rate models with unsupported Pb210: a study case of sediment cores from mud shelf depocenters :: Supplementary data
<p>Supplementary data (Table S1) for the manuscript "Considerations on premises of recent (< 120 years) sedimentation rate models with unsupported <sup>210</sup>Pb: a study case of sediment cores from mud shelf depocenters".</p>
Results and assumptions for: Modeling the Circular Economy in Environmentally Extended Input-Output Tables: methods, software and case study
<p>This dataset presents supplementary information for <em>"Modeling the Circular Economy in Environmentally Extended Input-Output Tables: methods, software and case study" </em><a href="https://doi.org/10.1016/j.resconrec.2019.104508">https://doi.org/10.1016/j.resconrec.2019.104508</a></p> <p>The data was processed and results were obtained through https://cmlplatform.github.io/pycirk/</p> <p> </p> <p><br> Annex I: Scenario assumptions and modeling choices and complete results (file Annex_I.xlsx) <br> Annex II: Contains analysis of other software, database modifications, and list of affected categories (file Annex_II.docx) <br> Results: settings, assumptions, results and their analysis from the case study presented in the paper (file Donati_CE_EEIO_Mo_SI.tar.gz)</p>
Dataset supporting publication: "Environmental sustainability and Energy Efficiency in Historical Buildings: GeoFit Project Implementation in the Case Study of a medieval fortress in Perugia"
<p>Dataset supporting publication:“Environmental sustainability and Energy Efficiency in Historical Buildings: GeoFit Project Implementation in the Case Study of a medieval fortress in Perugia” (publication available for download: <a href="https://zenodo.org/record/7435513">GEOFIT Zenodo</a>)</p> <p>Italian cities are mainly constituted by buildings constructed until the mid-20th century by pre-industrial construction techniques. A HVAC system for the energy retrofit of historical buildings is evaluated when applied in the case study of Sant’Apollinare. It consists of a ground source heat pump a water tank for thermal energy storage connected to a low-temperature radiant system and air handling unit. The building thermal-energy behavior, typically influenced by thermal inertia in historical buildings, and the novel HVAC system performance interactions are comparatively assessed together with more traditional scenarios. Energy demand decreases by about one third compared to the pre-retrofit situation.</p>
Soil data of the CS1 Study Case
<p>Soil data of the CS1 Study Case</p>
Dataset. Socio-ecological metabolism and rural livelihood conditions: two case studies on forest litter uses in France and Poland (1875-1910)
<p>This Datasets is the supplementary Material to the paper :"Socio-ecological metabolism and rural livelihoo conditions: two case studies on forest litter uses in France and Poland (1875-1910)".</p>
Producer Conflict Management Approaches in Online Peer Production Communities – Case Study of OpenStreetMap
<p>These files are supplementary materials to a paper: Youjin Choe, Martin Tomko, and Mohsen Kalantari. 2023. Producer Conflict Management Approaches in Online Peer Production Communities – Case Study of OpenStreetMap. In <em>Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems (CHI ’23), April 23–28, 2023, Hamburg, Germany. </em>ACM, New York, NY, USA, 19 pages. https://doi.org/10.1145/3544548.3581036:<br> <br> (1) finaldata_FILENAMES: Files that starts with "finaldata_" contain final data we used for the analysis in text file (binary data) with a codebook. It also contains the count data (with a codebook) that we initially used but failed to pass the linearity assumption.</p> <p>(2) LOGITM~1.R: It is R code that we used for logistic regression analysis.<br> <br> (3) osmcha-parser.py: This our Python code and the resulting files that extracted raw data from OSM Changeset Analyzer (OSM) website.<br> <br> (4) 20210920_AnnotatorsGuide.pdf: This file is the annotators guide that we shared with our two external annotators for introduction and training of our data annotation.</p>
Data from: Can fractal dimensions objectivize gastropod shell morphometrics? A case study from Lake Lugu (SW China)
<p>Morphometrics are fundamental for statistical analyses of fossils, particularly because soft parts or DNA are rarely preserved and thus hard parts such as shells are commonly the only source of information. Geometric morphometrics i.e. landmark analysis has been successfully established but exhibits a couple of shortcomings. On the one hand landmarking is rather subjective and on the other hand the application at the level of micro-sculpture is difficult.</p> <p>With the aid of high-resolution 3D scanning technology and analyses of fractal dimensions, we test whether shortcomings of linear and geometric morphometrics can be overcome. As a model group, we selected a clade of modern viviparid gastropods from Lake Lugu, the shells of which show a high degree of sculptural variation. Linear and landmark analyses were applied to the same shells, in order to root the fractal dimensions. The genetic diversity of the gastropod clade was basically assessed.</p> <p>The genetic results suggest that the gastropod clade represents a single species. The results of all morphometric methods applied are in line with the genetic results, which is that no clustering of morpho-types occurs. Apart from this overall agreement, landmark and fractal dimension analyses do not correspond with each other but represent data sets with different information. Generally, the fractal dimension values quantify the roughness of the shell surface, the resolution of the 3D-scans determining the level. In our approach, we captured the micro-sculpture but not the first-order sculptural elements, which explains that fractal dimension and landmark data are not in phase.</p> <p>We can show that analyzing fractal dimensions of gastropod shells opens a window to more detailed information that can be considered in evolutionary and ecological contexts. We propose that using 3D-scans with a low resolution may successfully substitute landmark analyses because it overcomes the subjective landmarking. Analyses of 3D-scans with higher resolution than used in this study will provide surface roughness information at the mineralogical level. We suggest that fractal dimension analyses of a combination of differently resolved 3D-models will significantly improve the quality of shell morphometrics.</p>
Data from: Rewilding in Southeast Asia: Singapore as a case study
<p><span>Re-establishing extirpated wildlife – or 'rewilding' – is touted as a way to restore biodiversity and ecosystem processes, but we lack real-world examples of this process, particularly in Southeast Asia. Here we use a decade of aggregated camera trap data, N-mixture occupancy models, and input from local wildlife experts to describe the unassisted recolonization of two native large herbivores in Singapore. Sambar deer (<em>Rusa unicolor</em>) escaped from captivity (private or public zoos) in the 1970s and contemporary camera trap data show they have only colonized nearby forest fragments and their abundance remains low. Wild pigs (<em>Sus scrofa</em>), in contrast, naturally recolonized by swimming from Malaysia in the 1990s and have rapidly expanded their range and abundance across Singapore. While wild pigs have not recolonized all viable green spaces yet, their trajectory indicates they soon will. We also note that a third ungulate, the muntjac deer (<em>Muntiacus muntjak</em>), was captured in camera trapping in 2014 and 2015 but was never recorded afterward despite increased sampling effort, and thus we do not focus on their presumably unsuccessful recolonization. The divergent rewilding trajectories between sambar deer and wild pigs suggest different conservation outcomes and management requirements. Sambar deer may restore lost plant-animal interactions such as herbivory and seed dispersal without requiring significant management. Wild pigs, in contrast, have reached high numbers rapidly and may require active management to avoid hyperabundance and negative ecological impacts in regions such as Singapore that lack both hunting and large predators.</span></p>
Case studies from doubleHelix: nucleic acid sequence identification, assignment and validation tool for cryo-EM and crystal structure models
<p>Case studies from "doubleHelix: nucleic acid sequence identification, assignment and validation tool for cryo-EM and crystal structure models"</p>
Case studies from: Sequence assignment validation in protein crystal structure models with checkMySequence
<p>Case studies from "Sequence assignment validation in protein crystal structure models with checkMySequence"</p>
Sensitivity of glaciers in the European Alps to anthropogenic atmospheric forcings: case study of the Argentière glacier
<p>This Zenodo repository contains all datasets (IPSL CMIP6 data, glaciological data, SAFRAN data), ElmerIce codes and Python Jupyter Notebook used in the study reported in the article <strong><em>"Sensitivity of glaciers in the European Alps to anthropogenic atmospheric forcings: case study of the Argentière glacier"</em></strong></p>
ScienceDex guides
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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.