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203
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ShareScore release 0.9.0
Dataset results
203 results for “evaluative conditioning”
Figure 1 in Blood metabolites as predictors to evaluate the body condition of Neopelma pallescens (Passeriformes: Pipridae) in northeastern Brazil
Figure 1. Spearman's correlation between glucose and ketones
Figure 4 in Evaluation of chitosan and silver nanoparticles Against isolated pathogens from Mulberry Silkworm, Bombyx mori L. (Lepidoptera: Bombycidae) under laboratory conditions
Figure 4. Transmissiоn electron microscоpy micrоgraph of silver nanoparticles.
Figure 3 in Evaluation of chitosan and silver nanoparticles Against isolated pathogens from Mulberry Silkworm, Bombyx mori L. (Lepidoptera: Bombycidae) under laboratory conditions
Figure 3. Final dispersion formed after reduction (A) silver and (B) chitosan.
Development of an Evaluation Method of Elderly Condition in Patient Receiving Chemotherapy Treatment
ClinicalTrials.gov study NCT00210249. IPD Sharing: NO. Countries: 1. Publications: 2.
A Study Evaluating Oxybutynin in Patients With Neurogenic Overactive Bladder Associated With a Neurological Condition
ClinicalTrials.gov study NCT00224029. IPD Sharing: Not stated. Countries: 1. Publications: 1.
EPO2-PV: Evaluation of Pre-Oxygenation Conditions in Morbidly Obese Volunteer: Effect of Position and Ventilation Mode
ClinicalTrials.gov study NCT02121808. IPD Sharing: Not stated. Countries: 1. Publications: 19.
Evaluation of Outcomes With Umbilical Cord Allograft for Musculoskeletal Conditions Musculoskeletal Conditions
ClinicalTrials.gov study NCT03390920. IPD Sharing: YES. Countries: 1. Publications: 5.
Global Agricultural Land Resources – A High Resolution Suitability Evaluation and Its Perspectives until 2100 under Climate Change Conditions (v2.0)
<p><strong>Agricultural land resources – a global suitability evaluation</strong></p> <p><em>An inventory is required on the changing potentially suitable areas for agriculture under changing climate conditions. Within the context of the GLUES project, researchers at the Ludwig-Maximilians University (LMU) investigated the global agricultural suitability of land under changing climate conditions at high spatial resolution. The growing demand for food, feed, fiber and bioenergy increases pressure on land and causes land use/cover change and trade-offs between different uses of land and ecosystem services. In order to ensure food security, agricultural potentials need to be used more efficiently in the future. Therefore, the agricultural suitability of land are important information e.g. in order to identify todays suitable areas and possible future changes. The potential suitability of todays forested and protected areas can be used to identify possible hotspots of land use/cover change. Therefore, LMU is working on improving the knowledge of global agricultural potentials of land and better understanding the interdependencies between ecological and socio-economic systems which are driving land use/cover change.</em></p> <p><strong>Determining Agricultural Suitability</strong></p> <p>Local climate, soil and topography determine the available energy, water and nutrient supply for agricultural crops and thus their natural suitability. In order to allow for computing the natural agricultural constraints on the globe at 30 arc seconds (1km) spatial resolution, the following high resolution data were applied:</p> <p>Daily data for temperature, precipitation and solar radiation from the global climate model ECHAM5. Soil data comes from the Harmonized World Soil Database (HWSD). Considered soil properties are texture, proportion of coarse fragments and gypsum, base saturation, pH content, organic carbon content, salinity, sodicity. Topography data was applied from the Shuttle Radar Topography Mission (SRTM). Irrigation has strong impact on the crop’s suitability. It is considered on todays irrigated areas as given by the FAO Aquastat Global Maps of Irrigated Areas (GMIA) dataset. The determinant factors are contrasted with the crop-specific requirements, using a fuzzy-logic approach. The crop requirements are taken from literature.</p> <p><strong>Agricultural Suitability</strong></p> <p>General agricultural suitability at a spatial resolution of 30 arcsec, considering rainfed conditions and irrigation on currently irrigated areas. The agricultural suitability represents for each pixel the maximum suitability value of the considered 16 plants. The dataset contains four time periods (1961-1990, 1981-2010, 2011-2040, 2071-2100).</p> <p><strong>Suitability Change due to Climate until 2100</strong></p> <p>Change in agricultural suitability and crop suitability due to climate change for SRES A1B scenario conditions for 16 crops between 1981-2010 and 2071-2100 at a spatial resolution of 30 arcsec.</p> <p><strong>Multiple Cropping</strong></p> <p>Potential number of suitable crop cycles for 16 crops at a spatial resolution of 30 arcsec, considering rainfed conditions and irrigation on currently irrigated areas. The dataset contains four time periods (1961-1990, 1981-2010, 2011-2040, 2071-2100).</p> <p><strong>Growing Cycle</strong></p> <p>Start of the growing cycle for 16 crops at a spatial resolution of 30 arcsec, considering rainfed conditions and irrigation on currently irrigated areas. In case of multiple cropping, the start of the first growing cycle is shown. The dataset contains four time periods (1961-1990, 1981-2010, 2011-2040, 2071-2100).</p> <p><strong>Further information</strong></p> <p>Detailled information are available in the following publication:<br> Zabel F., Putzenlechner B., Mauser W. (2014): <strong>Global agricultural land resources – a high resolution suitability evaluation and its perspectives until 2100 under climate change conditions. </strong> Online available: <a href="http://dx.plos.org/10.1371/journal.pone.0107522">PLOS ONE</a>. DOI: 10.1371/journal.pone.0107522</p> <p><strong>Improvements in v2.0</strong></p> <p>Compared to previous versions, v2.0 uses updated input data for soil and minor improvements of the statistical downscaling and the bias correction of the climate model data.</p> <p><strong>Contact</strong></p> <p>Please contact: Dr. Florian Zabel, <a href="mailto:f.zabel@lmu.de">f.zabel@lmu.de</a>, Department für Geographie, LMU München (<a href="http://www.geografie.uni-muenchen.de">www.geografie.uni-muenchen.de</a>)</p>
Data from: Evaluation of Blue Crab, Callinectes sapidus, megalopal settlement and condition during the Deepwater Horizon oil spill
The Blue Crab, Callinectes sapidus, is a commercially, culturally, and ecologically significant species in the Gulf of Mexico (GOM), whose offshore stages were likely impacted by the Deepwater Horizon oil spill (DWH). To test for DWH effects and to better understand the planktonic ecology of this species, we monitored Callinectes spp. megalopal settlement and condition at sites within and outside of the spill extent during and one year after the DWH. We tested for DWH effects by comparing 2010 settlement against baseline data available for two sites, and by testing for differences in settlement and condition inside and outside of the spill extent. We also developed time series models to better understand natural drivers of daily settlement variation (seasonal and lunar trends, hydrodynamics, wind) during 2010 and 2011. Overall, we found that neither megalopal settlement nor body weight were significantly reduced at oiled sites, but that high unexplained variation and low statistical power made detection of even large effects unlikely. Time series models revealed remarkably consistent and relatively strong seasonal and lunar trends within sites (explaining on average 28% and 9% of variation, respectively), while wind and hydrodynamic effects were weak (1–5% variation explained) and variable among sites. This study provides insights into DWH impacts as well as the natural drivers of Callinectes spp. megalopal settlement across the northern GOM.
Data for: Evaluating conditions for MFAD fisheries development in the Caribbean and Bermuda
<p class="MsoNormal">Moored fish aggregating devices (MFADs) are promoted in small-scale fisheries around the world as tools to increase fisher incomes, enhance food security, and ease pressure on degraded inshore fisheries. Despite their growing popularity, the biophysical and socioeconomic contexts in which MFAD fisheries are implemented - and the implications of these contexts for MFAD fishery success - remain poorly understood. Here we develop a framework identifying and evaluating factors likely to influence MFAD fishery outcomes and apply it across states in the insular Caribbean region. We highlight the heterogeneity in MFAD regulatory strength, catch marketability, social need, and costs among states and discuss best approaches for optimizing MFAD benefits across different socioeconomic scenarios.</p>
Evaluation of Thermal Comfort Conditions in The Working Environments of Seasonal Agricultural Workers in Csa Koppen Climate Type
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A novel microfluidic tool for the evaluation of local drug delivery systems in simulated in vivo conditions
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EVALUATION OF THE EFFECTIVENESS OF TCHNICAL AND SANITARY-HYGIENIC SOLUTIONS FOR STUDYING AND IMPROVING WORKING CONDITIONS IN GREENHOUSES.
<p><em><span>At present, one of the most pressing issues is the rapid growth of the world's population and their production, ensuring the safe operation of all aspects of the tasks involved in the development of agro-industrial systems. how much work is being done. The Action Strategy pursued by the President for 2021-2024 is of great importance as a key link in the radical reform of the agro-industrial system, the creation of safe conditions for workers in the cultivation of safe and competitive agricultural products. </span></em></p>
Evaluation of Spectral Light Simulation Tools For Prediction of ipRGC-influenced Light Responses in Field Conditions
<p><span>Spectral light simulation tools can be used to optimize lighting design in built environments for occupants’ ipRGC-influenced light (IIL) responses. The accuracy of these tools has been previously tested against measurements in controlled, neutral-colored spaces. This study aims to evaluate the accuracy of ALFA and Lark spectral light simulation tools in spectrally and geometrically complex environments. The methods consist of comparison of spectral irradiance, three IIL response metrics, and photopic illuminance in two office rooms in a university building. Measurements and simulations are performed in daylight, electric light, and combination of daylight and electric light. The dataset presented here documents this research.</span></p>
Raw data_Evaluation of black soldier fly larvae meal as a functional feed ingredient in Atlantic salmon (Salmo salar) under farm-like conditions
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Fig. 1. Derivatisation reaction conditions for bilocularin A in Synthesis of bilocularin A carbamate derivatives and their evaluation as leucine transport inhibitors in prostate cancer cells
Fig. 1. Derivatisation reaction conditions for bilocularin A (1) and the resulting semi-synthetic carbamate library (2–9).
Evaluation of Peri-implant Conditions of Orthodontic Mini Implants
ClinicalTrials.gov study NCT06491849. IPD Sharing: NO. Countries: 1. Publications: 7.
Evaluation of the Interest of Ultra-high Frequency Doppler Ultrasound (UFDU) in the Surgical Management of Patients Operated in an Awake Condition for a Cerebral Tumor
ClinicalTrials.gov study NCT03179176. IPD Sharing: Not stated. Countries: 1. Publications: 1.
A Safety and Efficacy Study of VI-0521 to Evaluate the Long Term Treatment of Obesity in Adults With Obesity-Related Co-Morbid Conditions. An Extension Study of Protocol OB-303 (NCT00553787)
ClinicalTrials.gov study NCT00796367. IPD Sharing: Not stated. Countries: 0. Publications: 2.
Evaluation of Open-Label Conditioned Placebo Analgesia for Postoperative Opioid Reduction Following Spinal Fusion
ClinicalTrials.gov study NCT04574388. IPD Sharing: UNDECIDED. Countries: 1. Publications: 1.
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.