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36 results for “suitability assessment”
DATA SET: Performance Assessment of a Commercial Continuous-Wave Near-Infrared Spectroscopy Tissue Oximeter for Suitability for Use in an International, Multi-Center Clinical Trial
<p>This repository contains the data sets related to the publication:</p> <p>Cortese, L.; Zanoletti, M.; Karadeniz, U.; Pagliazzi, M.; Yaqub, M.A.; Busch, D.R.; Mesquida, J.; Durduran, T. Performance Assessment of a Commercial Continuous-Wave Near-Infrared Spectroscopy Tissue Oximeter for Suitability for Use in an International, Multi-Center Clinical Trial. <em>Sensors</em> <strong>2021</strong>, <em>21</em>, 6957. https://doi.org/10.3390/s21216957</p>
CropSuite – Crop suitability assessment for 48 crops under rainfed and irrigated conditions for Africa
<p>Here, we provide all data and maps for the paper submitted to Geoscientific Model Development (GMD).</p> <p>The maps include the crop suitability, climate suitability, most limiting factor, potential for multiple cropping, the optimal sowing date and the suitable sowing days for 48 crops for Africa with and without the consideration of climate variability.</p> <div> <ol> <li>Alfalfa (Medicago sativa)</li> <li>Arabica Coffee (Coffea arabica)</li> <li>Avocado (Persea americana)</li> <li>Banana (Musea spp.)</li> <li>Barley (Hordeum vulgare)</li> <li>Beans (Phaseolus vulgaris)</li> <li>Cabbage (Brassica oleracca)</li> <li>Carrot (Daucus carota)</li> <li>Cashew (Anacardium occidentale)</li> <li>Cassava (Manihot esculenta)</li> <li>Castor Bean (Ricinus commuis)</li> <li>Chickpea (Cicer arietinum)</li> <li>Citrus (Citrus spp.)</li> <li>Cocoa (Theobroma cacao)</li> <li>Coconut (Cocos nucifera)</li> <li>Cotton (Gossypium hirsutum)</li> <li>Cowpea (Vigna unguiculata)</li> <li>Green Pepper (Capsium annuum)</li> <li>Groundut (Arachis hypogaea)</li> <li>Guava (Psidium guijava)</li> <li>Maize (Zea mais)</li> <li>Mango (Mangifera indica)</li> <li>Millets (Pennisetum americanum)</li> <li>Oil Palm (Elaeis guineensis)</li> <li>Olive (Olea europacae)</li> <li>Onion (Allium cepa)</li> <li>Papaya (Carica papaya)</li> <li>Pea (Pisum sativum)</li> <li>Pineapple (Ananas comosus)</li> <li>Potato (Solanum tuberosum)</li> <li>Rapeseed (Brassica napus)</li> <li>Rice (Oryza sativa)</li> <li>Robusta Coffee (Coffea canephora)</li> <li>Rubber tree (Hevea brasiliensis)</li> <li>Rye (Secale cereale)</li> <li>Safflower (Carthamus tinctorius)</li> <li>Sesame (Sesamum indicum)</li> <li>Sorghum (Sorghum bicolor)</li> <li>Soy (Glycine maximum)</li> <li>Sugar Cane (Saccharum officinarum)</li> <li>Sunflower (Helianthus annus)</li> <li>Sweet Potato (Ipomoea batatas)</li> <li>Tea (Camellia senesis)</li> <li>Tobacco (Nicotiana tabacum)</li> <li>Tomato (Solanum lycopersicum esculentum)</li> <li>Watermelon (Colocynthis citrullus)</li> <li>Wheat (Triticum aesticum)</li> <li>Yam (Dioscorea)</li> </ol> </div> <p>The maps are provided for each crop seperately for rainfed and irrigated conditions and combined using data on currently irrigated areas based on Maier et al. (2018).</p> <p>In addition, maps for the comparison between crop suitability and MapSPAM2020 are provided.</p> <p>Zabel, Knüttel, Poschlod (2024): CropSuite – A comprehensive open-source crop suitability model considering climate variability for climate impact assessment. Preprint. DOI: <a href="https://doi.org/10.5194/egusphere-2024-2526">https://doi.org/10.5194/egusphere-2024-2526</a>.</p>
Fig. 6 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. 6. Abundance (mean number of burrows/100 × 5 m transect) of S. citellus in 4 colonies in the study area in summer (for the period 2017–2021) N = Luda Yana; –– l –– = Belotrup; ---- l ---- = Panagyurski kolonii; u = Beli Manastiri
Fig. 5 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. 5. Changes in the habitat suitability in the study area (white – not suitable, black – high suitability) of European souslik assessed by maxent modelling based on data from 2006–2018 (B) and extrapolated for the period 1985–2005 (A). The results are presented in
Fig. 3 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. 3. Negative and positive anomalies (white and black bars) of the Mean Annual Temperature time series for the period of 1985–2018 (data from the meteorological station Sofia)
Fig. 2 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. 2. Changes in the number of grazing livestock in the southern central Bulgarian planning region for the period 2001–2018
Fig. 1 in Development of habitat suitability criteria for Neotropical stream fishes and an assessment of their transferability to streams with different conservation status
Fig. 1. Location of the study sites in the São José dos Dourados River basin, São Paulo State, Brazil (a and b). Forested sites (dark circles) are located within the greatest forest fragments and deforested (gray circles) streams lack arboreal vegetation in their riparian zone and are located in areas dominated by pasture (c).
Fig. 2 in Development of habitat suitability criteria for Neotropical stream fishes and an assessment of their transferability to streams with different conservation status
Fig. 2. Habitat suitability criteria for depth and velocity of 10 species (codes in Table 1) developed for forested streams, considering five classes of depth (D1 = 0 to 0.2 m; D2 = 0.21 to 0.30 m; D3 = 0.31 to 0.40 m; D4 = 0.41 to 0.50 m; D5> 0.51 m) and four classes of velocity (V1 => 0.0 to 0.2 m/s; V2 = 0.21 to 0.40 m/s; V3 = 0.41 to 0.60 m/s; V4> 0.61 m/s). The dotted lines indicate SI = 0.7, above which conditions were considered optimal.
Towards suitable practices for the integration of social life cycle assessment into the ecodesign framework of hydrogen-related products
<p>The hydrogen sector is envisaged as one of the key enablers of the energy transition that the European Union is facing to accomplish its decarbonization targets. However, regarding the technologies that enable the deployment of a hydrogen economy, a growing concern exists about potential burden-shifting across sustainability<br>dimensions. In this sense, social life cycle assessment arises as a promising methodology to evaluate the social implications of hydrogen technologies along their supply chains. In the context of the European projects eGHOST and SH2E, this study seeks to advance on key methodological aspects of social life cycle assessment when it<br>comes to guiding the ecodesign of two relevant hydrogen-related products: a 5 kW solid oxide electrolysis cell stack for hydrogen production, and a 48 kW proton-exchange membrane fuel cell stack for mobility applications.<br>Based on the social life cycle assessment results for both case studies under alternative approaches, the definition of a product-specific supply chain, making use of appropriate cut-off criteria, was found to be the preferable choice when addressing system boundaries definition. Moreover, performing calculations according to the activity variable approach was found to provide valuable results in terms of social hotspots identification to support subsequent decision-making processes on ecodesign, while the direct calculation approach is foreseen as a complement to ease the interpretation of social scores. It is concluded that advancements in the formalization of<br>such suitable practices could foster the integration of social metrics into the sustainable-by-design framework of hydrogen-related products.</p>
Data from: Better together? Assessing different remote sensing products for predicting habitat suitability of wetland birds
<p>This data repository contains the processed and extracted metrics from the Dutch land cover, country wide airborne laser scanning and Sentinel-1 and 2 datasets used as input predictor variables in the species distribution modelling step. The study area within the Netherlands comprised five Dutch provinces (Groningen, Drenthe, Overijssel, Gelderland, and Flevoland) for which both ALS and Sentinel data were available for the same year. The land cover metrics were derived using the Dutch land cover map from 2018 (LGN2018 or LGN8). The country-wide LiDAR point clouds were derived from the third Dutch national ALS flight campaign (AHN3, Actueel Hoogtebestand Nederland). The AHN3 dataset is openly accessible data available from (<a href="https://ahn.arcgisonline.nl/ahnviewer/">https://ahn.arcgisonline.nl/ahnviewer/</a>). The Sentinel datasets were processed using Google Earth Engine. </p>
Fig. 4 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. 4. Response curves, representing the dependence of predicted suitability both on the
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
Indoor lighting design for healthier workplaces natural and electric light assessment for suitable circadian stimulus
<p>Dataset of "Indoor lighting design for healthier workplaces natural and electric light assessment for suitable circadian stimulus" research</p>
Data from: Assessing the usefulness of Citizen Science Data for habitat suitability modelling: opportunistic reporting versus sampling based on a systematic protocol
<p><strong>Aim:</strong> To evaluate the potential of models based on opportunistic reporting (OR) compared to models based on data from a systematic protocol (SP) for modelling species distributions. We compared model performance for eight forest bird species with contrasting spatial distributions, habitat requirements, and rarity. Differences in the reporting of species were also assessed. Finally, we tested potential improvement of models when inferring high quality absences from OR based on questionnaires sent to observers.</p> <p><strong>Location:</strong> Both datasets cover the same large area (Sweden) and time period (2000 -2013).</p> <p><strong>Methods:</strong> Species distributions were modelled using logistic regression. Predictive performance of OR models to predict SP data were assessed based on AUC. We quantified the congruence in spatial predictions using Spearman's rank correlation coefficient. We related these results to species characteristics and reporting behaviour of observers. We also assessed the gain in predictive performance of OR models by adding inferred absences. Finally, we investigated the potential impact of sampling bias in OR.</p> <p><strong>Results:</strong> For all species, and despite the sampling biases, results from OR overall agreed well with those of SP, for the nationwide spatial congruence of habitat suitability maps and the selection and directions of species-environment relationships. The OR models also performed well in predicting the SP data. The predictive performance of the OR models increased with species rarity and even outperformed the SP model for the rarest species. No significant impact of observer behaviour was found.</p> <p><strong>Main Conclusions:</strong> Relatively simple analyses with inferred absences could produce reliable spatial predictions of habitat suitability. This was especially true for rare species. OR data should be seen as a complement to SP, as the weakness of one is the strength of the other, and OR may be especially useful at large spatial scales or where no systematic data collection protocols exist.</p>
Ex-vivo Perfusion and Ventilation of Lungs Recovered From Non-Heart-Beating Donors to Assess Transplant Suitability
ClinicalTrials.gov study NCT01615484. IPD Sharing: UNDECIDED. Countries: 1. Publications: 11.
An ecological network approach to assessing the site suitability of photovoltaic power stations
Open the record for dataset details and reuse information.
Data from: Assessing the usefulness of Citizen Science Data for habitat suitability modelling: opportunistic reporting versus sampling based on a systematic protocol
Open the record for dataset details and reuse information.
Data from: assessing the suitability of a one-time sampling event for close-kin mark-recapture: a caribou case study
Open the record for dataset details and reuse information.
Data from: Combining US and Canadian forest inventories to assess habitat suitability and migration potential of 25 tree species under climate change
Aim: To evaluate current and future dynamics of 25 tree species spanning USA and Canada. Location: USA and Canada Methods: We combine, for the first time, the species compositions from relative importance derived from the USA's Forest Inventory Analysis (FIA) with gridded estimates based on Canada's National Forest Inventory (NFI-kNN) ) based photo plot data to evaluate future habitats and colonization potentials for 25 tree species. Using 21 climatic variables under RCP 4.5 and RCP 8.5, we model climatic habitat suitability (HQ) within a consensus based multi-model ensemble regression approach. A migration model is used to assess colonization likelihoods (CL) for ~100 years and combined with HQ to evaluate the various combinations of HQ+CL outcomes for the 25 species. Results: At a continental scale, many species in the conterminous USA lose suitable climatic habitat (especially under RCP 8.5) while Canada and USA's Alaska gain climate habitat. For most species, even under optimistic migration rates, only a small portion of overall future suitable habitat is projected to be naturally colonized in ~ 100 years, although considerable variation exists among species. Main conclusions: For the species examined here, habitat losses were primarily experienced along southern range limits, while habitat gains were associated with northern range limits (especially under RCP 8.5). However, for many species, southern range limits are projected to remain relatively intact, albeit with reduced habitat quality. Our models predict that only a small portion of the climatic habitat generated by climate change will be colonized naturally by the end of the current century - even with optimistic tree migration rates. However, considerable variation among species points to the need for significant management efforts, including assisted migration, for economic or ecological reasons. Our work highlights the need to employ range-wide data, evaluate colonization potentials, and enhance cross-border collaborations.
Bird observation data for: Better together? Assessing different remote sensing products for predicting habitat suitability of wetland birds
<p>This data repository contains the bird observation data used in Koma, Z., Seijmonsbergen, A.C., Grootes, M.W., Nattino, F., Groot, J., Sierdsema, H., Foppen, R. & Kissling, W.D. (2022): Better together? Assessing different remote sensing products for predicting habitat suitability of wetland birds. <em>Diversity and Distributions</em> 28: 685–699.</p> <p>The content of this directory is shared under Attribution-NonCommercial-NoDerivatives 4.0 International licence (CC BY-NC-ND 4.0, see https://creativecommons.org/licenses/by-nc-nd/4.0/). For accessing the bird occurrence data for further use then reproducing this article you can contact with Henk Sierdsema (Henk.Sierdsema@sovon.nl) and Ruud Foppen (Ruud.Foppen@sovon.nl) for further information.</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.