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169 results for “conservation effectiveness”
Supplementary material 2 from: Scheunemann N, Russell DJ (2023) Hydrological regime and forest development have indirect effects on soil fauna feeding activity in Central European hardwood floodplain forests. Nature Conservation 53: 257-278. https://doi.org/10.3897/natureconservation.53.106260
PCA plot of sites and environmental parameters of the hydrology gradient
Supplementary material 1 from: Scheunemann N, Russell DJ (2023) Hydrological regime and forest development have indirect effects on soil fauna feeding activity in Central European hardwood floodplain forests. Nature Conservation 53: 257-278. https://doi.org/10.3897/natureconservation.53.106260
Soil parameters of all study sites
The Effect of Care Given Using Levine's Conservation Model on Postpartum Quality of Life in Primiparas
ClinicalTrials.gov study NCT04084275. IPD Sharing: YES. Countries: 0. Publications: 13.
Effect of Conservative Root Canal Instrumentation on the Release of Inflammatory Mediators in Root Canal Treatments
ClinicalTrials.gov study NCT06237985. IPD Sharing: NO. Countries: 0. Publications: 5.
Effect of Surgical or Conservative Approach in Patients With Adrenal Incidentalomas
ClinicalTrials.gov study NCT04860180. IPD Sharing: NO. Countries: 0. Publications: 17.
The Effect of the Hemobag® Ultrafiltration System on Blood Conservation and Coagulation After Cardiopulmonary Bypass
ClinicalTrials.gov study NCT01435304. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Evaluation of the Course and Effectiveness of Conservative Therapy in Patients With Achilles Tendinopathy
ClinicalTrials.gov study NCT05702918. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Data from: Informing conservation strategies with museum genomics: Long-term effects of past anthropogenic persecution on the elusive European wildcat
Open the record for dataset details and reuse information.
Data from: Towards more effective integration of tropical forest restoration and conservation
Open the record for dataset details and reuse information.
Data from: Conservation tillage mitigates the negative effect of landscape simplification on biological control
Open the record for dataset details and reuse information.
Data from: Evolution of movement rate increases the effectiveness of marine reserves for the conservation of pelagic fishes
Open the record for dataset details and reuse information.
Molecular ecological network analyses: An effective conservation tool for the assessment of biodiversity, trophic interactions, and community structure
Open the record for dataset details and reuse information.
Data and Code for: Landscape-level synergistic and antagonistic effects among conservation measures drive wild bee densities and species richness
<p>Data and R code for 'Landscape-level synergistic and antagonistic effects among conservation measures drive wild bee densities and species richness'.</p> <p>Information about the files can be found in the README file.</p>
Data from: Subalpine vegetation changes in the Eastern Sudetes (1973–2021): Effects of abandonment, conservation management and avalanches
<p>This dataset contains the original data used in the article:</p> <p>Klinkovská K., Kučerová A., Pustková Š., Rohel J., Slachová K., Sobotka V., Szokala D., Danihelka J., Kočí M., Šmerdová E. & Chytrý M. (2023) Subalpine vegetation changes in the Eastern Sudetes (1973–2021): effects of abandonment, conservation management and avalanches. <em>Applied Vegetation Science</em>, 26, e12711. <a href="https://doi.org/10.1111/avsc.12711">https://doi.org/10.1111/avsc.12711</a></p> <p>The data contain plant species composition from vegetation plots repeatedly surveyed in the Hrubý Jeseník Mountains (Eastern Sudetes, Czech Republic). Vegetation plots surveyed by Leoš Bureš and Zuzana Burešová in 1973–1978 were resurveyed in 2004–2010 by Martin Kočí and Leo Bureš and resurveyed again in 2021 by the authors of this dataset. Several new plots were also surveyed in 2004–2010 and resurveyed in 2021. In the 1970s, plot locations were related to patches of a detailed vegetation map. In the 2000s, plot locations were measured using GPS with an uncertainty of less than 10 m. In 2021, plots were localized using differential GPS with ~5 cm accuracy (Topcon HiPer SR with Getac PS336 Data Collector) in each corner of the plot. These coordinates are stored in the fields Longitude, Longitude2, Longitude3, Longitude4, Latitude, Latitude2, Latitude3 and Latitude4 in the dataset.</p> <p>The dataset contains records of 148 vegetation plots, of which 66 were sampled three times (1970s, 2000s, 2021) and 82 were sampled twice (2000s, 2021), i.e. 362 vegetation-plot records in total. Their locations are shown at <a href="https://arcg.is/0uSrz9">https://arcg.is/0uSrz9</a>.</p> <p>Plot size and shape varied by vegetation type. Repeated sampling always used the same plot size as the previous sampling. Most plots were squares of 100 m<sup>2</sup> in woodlands and 16 m<sup>2</sup> in grasslands or rectangles of 10 m<sup>2</sup> in springs. All species of vascular plants were recorded in each plot, and their cover was estimated using the nine-grade Braun-Blanquet scale (Westhoff & van der Maarel, 1978). Bryophytes and lichens were recorded in only some plots, focusing on the dominant species.</p> <p>In 2021, soil samples were collected from the mineral soil horizon at 5–10 cm depth from four places within each plot. We mixed these samples for each plot and measured the soil pH and electrical conductivity of a mixed sample in a soil-water suspension (weight ratio 1:2.5) using the HQ40D digital multimeter. These data are found in the fields Soil_ph and Conduct.</p> <p>Plots were divided into managed and unmanaged based on the overlay of plot coordinates with GIS layers indicating the areas managed for conservation purposes in the last ten years provided by the Administration of the Landscape Protected Area Jeseníky (field Mown). In addition, plots were divided into affected and unaffected by the 2019 avalanche based on the positions of damaged trees observed in the field (field Avalanch).</p> <p>The structure of header data follows the structure of the ReSurveyEurope Database (<a href="http://euroveg.org/eva-database-re-survey-europe">http://euroveg.org/eva-database-re-survey-europe</a>). In addition, the vegetation type of each plot record in the 1970s, 2000s and 2021 is given in the fields Class_2021, Class_2000 and Class_1970, respectively</p> <p>The data on species composition and environmental variables are provided in two formats:</p> <ul> <li>Turboveg 2 database (see <a href="https://www.synbiosys.alterra.nl/turboveg/">https://www.synbiosys.alterra.nl/turboveg/</a>) – file <strong>TurbovegDbBackup_Jeseniky_resurvey.zip</strong>. To use this dataset in Turboveg, the database dictionary (TurbovegDdBackup_Default dictionary.zip) and species list (TurbovegSlBackup_Czechia_slovakia_2015.zip) have to be installed.</li> <li>Two TXT files with columns separated by tabs: <ul> <li><strong>Jeseniky_resurvey_species.txt</strong> contains the percentage covers of plant species in plots. Plant nomenclature harmonized according to Kaplan et al. (2019). Bryophytes, vernal species <em>Anemone nemorosa </em>and <em>Cardamine pratensis</em>, hybrids and species that could not be accurately identified were excluded. Woody species occurring in different layers were merged within each plot.</li> <li><strong>Jeseniky_resurvey_head.txt</strong> includes information about the number of species in each plot (spe.nr), the number and proportion of threatened species (IUCN categories CR, EN, VU, columns end.nr and perc.end) and unweighted means of Ellenberg-type indicator values for light (Light_IV), temperature (Temp_IV), moisture (Moist_IV), soil reaction (React_IV) and nutrients (Nutr_IV) used to test changes in these variables through time.</li> </ul> </li> </ul> <p>These data are also stored in the Czech National Phytosociological Database (Chytrý & Rafajová 2003; <a href="https://botzool.cz/vegsci/phytosociologicalDb">https://botzool.cz/vegsci/phytosociologicalDb</a>) and the ReSurveyEurope database (<a href="http://euroveg.org/eva-database-re-survey-europe">http://euroveg.org/eva-database-re-survey-europe</a>).</p>
Effects of Brazil Nut Supplementation in Patients With Chronic Kidney Disease Undergoing Conservative Treatment
ClinicalTrials.gov study NCT06394544. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Comparative Effects of Two Conservative Treatments in Teres Major in Handball Athletes With Shoulder Pain
ClinicalTrials.gov study NCT05080439. IPD Sharing: NO. Countries: 1. Publications: 0.
Study of the Safety and Effectiveness of DIAM™ Spinal Stabilization System Versus Conservative Care
ClinicalTrials.gov study NCT00456378. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Comparison of The Effects of Virtual Balance Training and Conservative Rehabilitation Therapy in Stroke Patients
ClinicalTrials.gov study NCT05552742. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Observation of the Effect of Preoperative Use of Dexmedetomidine Hydrochloride Nasal Spray on Optimizing Awake Sedation During Breast-Conserving Surgery for Breast Cancer and Postoperative Awake Statu
ClinicalTrials.gov study NCT07350928. IPD Sharing: NO. Countries: 1. Publications: 0.
Effect of VR VS Conservative Treatment in Sensorimotor Function of Upper Extremity in Chronic Stroke Patients
ClinicalTrials.gov study NCT06459531. IPD Sharing: NO. Countries: 1. Publications: 0.
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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)
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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.