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5 results for “SNAPP”

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zenodo40/100

SNAPP- Diseases in wild South American camelids Literature Review Datasets

<p><strong>SNAPP Diseases in wild South American camelids project</strong>: Vicu&ntilde;as (<em>Vicugna vicugna</em>) and guanacos (<em>Lama guanicoe</em>) are the two species of wild South American&nbsp;camelids whose distribution ranges from southern Argentina and Chile to central Peru. Declines in guanaco and vicu&ntilde;a populations have been recently associated with outbreaks of sarcoptic mange infections, impacting the health and conservation of South American Camelids (CSAs).&nbsp;Recognizing that the greatest challenges to conservation and sustainable development require innovative solutions, we have been forming a working group Andean Camelid Disease&nbsp;to collaboratively find management strategies to control sarcoptic mange to promote the health of CSA, their ecosystems, surrounding livestock, and&nbsp;the members of Andean communities that rely on the management of these species.&nbsp;In this perspective, we review the current knowledge on sarcoptic mange in CSAs&nbsp;and identify existing knowledge gaps.&nbsp;</p> <p><strong>Datasets created and used in the SNAPP Diseases in Wild South American camelids project</strong> (https://snappartnership.net/teams/andean-camelid-disease/)<br> This repository contains the databases (BD) generated from the systematic review of published information, including the metadata of each of them, the basic description of the methodology used, and files with the description of the information obtained.</p> <p><strong>BD_SNAP-CSA_RevSiste_ResumenCalidad.xlsx:</strong> BD with the description of each of the documents worked on in the systematic review, including a detailed summary of the objectives, methodology, results, and conclusions. Additionally, the evaluation of the quality of the data collected from each document has been included, as well as the classification of the studies according to their type considering the categories defined by Pullin and Knight 2001 and Pullin and Knight 2003.</p> <p><strong>BD_SNAP-CSA_RevSiste_PrevalenciaPoblaciones.xlsx:</strong> contains data on the prevalence and mortality of mange&nbsp;by CSA populations, including data on location, type of management, and years, among others.</p> <p><strong>BD BD_SNAP-CSA_RevSiste_PrevalenciaIndividuos.xlsx:</strong> contains data on the prevalence and extent of mange&nbsp;by CSA individuals, including information on age and sex.</p> <p><strong>BD BD_SNAP-CSA_RevSiste_Severidad.xlsx:</strong> contains data on the severity of scabies in CSA populations, including data on location, type of management, and years, among others.</p> <p><strong>BD_SNAP-CSA_RevSiste_Tratmientos.xlsx:</strong> contains quantitative and qualitative data on the effectiveness of implemented veterinary treatments, including information by location and year on drugs, implemented concentrations, doses, and recovery time, among others.</p> <p><strong>BD_SNAP-CSA_RevSiste_Genetica.xlsx: </strong>Contains available genetic information on CSA populations and subpopulations.</p> <p><strong>BD_SNAP-CSA_RevSiste_Percepciones.xlsx: </strong>contains perceptions and opinions collected during the systematic review in relation to the severity of mange&nbsp;in CSA, the importance of ecological factors in relation to the severity of mange,&nbsp;the effect of CSA management in relation to with the severity of mange&nbsp;and the effectiveness of treatments.</p> <p>These documents are the result of the Science for Nature and People Partnership (SNAPP) Diseases in Wild South American Camelids working group. SNAPP is a partnership of The Nature Conservancy and the Wildlife Conservation Society.</p>

opencc-by-4.0Jun 2023View details →
zenodo36/100

SNAPP Flow Impacts Literature Review Datasets

<p>Datasets created and used in the SNAPP Flow Impacts project (https://snappartnership.net/teams/water-flow-impact/)</p> <p>SNAPPFlowImpacts_agRangeDB_20210702.zip contains a SQLite database with the results of a systematic review of agricultural and rangeland BMP effects on water flows in these systems.&nbsp;&nbsp;Please see the included documentation regarding the status of quality control, as the database includes results from a somewhat broader literature search than could be fully quality controlled.&nbsp;</p> <p>SNAPPFlowImpacts_Forest_placeholder.xlsx is an excel spreadsheet containing the results of a &quot;review of reviews&quot; of the effects of forest management on water flows. The current version is a placeholder without the full set of citations, which will be updated in the near future.</p> <p>SNAPPFlowImpacts_Wetland_Final.xlsx is an excel spreadsheet containing the results of a &quot;review of reviews&quot; of the effects of wetland management on water flows, including both a summary sheet and details for each citation.&nbsp;</p> <p>SNAPP Flow Impacts Literature Review Datasets - metadata_02July2021.pdf contains metadata information for the database and the spreadsheet. It is also included in the .zip file for easy access.</p>

opencc-by-4.0May 2021View details →
dryad28/100

Bayesian inference of tree species using diffusion models: tabulated posterior statistics for SNAPP and SNAPPER analyses

<p>We describe a new and computationally efficient Bayesian methodology for inferring species trees and demographics from unlinked binary markers. Likelihood calculations are carried out using diffusion models of allele frequency dynamics combined with novel numerical algorithms. The diffusion approach allows for analysis of datasets containing hundreds or thousands of individuals. The method, which we call \snapper,  has been implemented as part of the BEAST2 package. We conducted simulation experiments to assess numerical error, computational requirements and accuracy recovering known model parameters. A re-analysis of soybean SNP data demonstrates that the models implemented in \snapp and \snapper can be difficult to distinguish in practice, a characteristic which we tested with further simulations. We demonstrate the scale of analysis possible using a SNP dataset sampled from 399 fresh water turtles in 41 populations.</p>

opencc-zeroSep 2020View details →
dryad28/100

Bayesian inference of tree species using diffusion models: tabulated posterior statistics for SNAPP and SNAPPER analyses

Open the record for dataset details and reuse information.

publicSep 2020View details →
ClinicalTrials.gov24/100

Effectiveness of SNAPPS in Family Medicine Residency Program

ClinicalTrials.gov study NCT06484010. IPD Sharing: Not stated. Countries: 1. Publications: 0.

restrictedIPD-UNDECIDEDFeb 2026View details →

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International Brain Laboratory public data

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