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10 results for “Time Series Program”
SCShores: time-series of shorelines from Spanish Sandy beaches from citizen-science monitoring program.
<p>This repository contains 5 years of sandy beaches shorelines deriverd from a citizen-science monitoring program in the Spanish coast. The methodology and the dataset are described in:</p> <p><em><strong>González-Villanueva, R., Soriano-González, J., Alejo, I., Criado-Sudau, F., Plomaritis, T., Fernàndez-Mora, À., Benavente, J., Del Río, L., Nombela, M. Á., and Sánchez-García, E.: SCShores: a comprehensive shoreline dataset of Spanish sandy beaches from a citizen-science monitoring programme, Earth System Science Data. V. 15, 4613-4629 , <a href="https://essd.copernicus.org/articles/15/4613/2023/essd-15-4613-2023.html">https://doi.org/10.5194/essd-15-4613-2023</a>, 2023. </strong></em></p> <p>The shoreline dataset is provided in 1 GEOJSON file: SCShores.geojson. This dataset covers five<strong> </strong>sandy beaches located on the Atlantic and Mediterranean coasts of Spain where CoastSnap stations were available, and it includes a total of 1721 shorelines. The coordinate system for the geospatial layer is WGS84.</p> <ul> <li><strong><em>SCShores.geojson</em></strong>: this layer contains the sandy shorelines . Each feature in this layer is a multipoint with the following attributtes: <ul> <li><strong>site</strong>: CoastSnap station name id, e.g. agrelo, samarador, cadiz, ….</li> <li><strong>date</strong>: date and time of the shoreline, yyyyy-mm-dd hh:mm:ss</li> <li><strong>timezone</strong>: Coordinated Universal Time, UTC</li> <li><strong>timestampQuality</strong>: quality flag indicating the confidence in the date-time indicated by the image provider, e.g. 1, 2</li> <li><strong>imageSource</strong>: source of the original image from which the shoreline has been derived, e.g. Instagram, Twitter, Facebook, Email, CoastSnapApp</li> <li><strong>elevation_m:</strong> same as Z coordinate, defined by the observed tide and the tidal offset, in meters, Tide+tide offset</li> <li><strong>verticalDatum</strong>: mean sea level in Alicante, which is considered the zero topographic reference in the Spanish territory, NMMA</li> <li><strong>geometry</strong>: type of geometry used in the file, MultiPoint</li> <li><strong>coordinates</strong>: Geographic WGS84 coordinates for each point in the geometry, longitude, latitude, Z</li> </ul> </li> </ul> <p> </p>
Linked collectors and determiners for: Time series of zooplankton abundance in the Florida Keys, collected by the South Florida Program (NOAA/AOML) and the Marine Biodiversity Observation Network (MBON).
Natural history specimen data linked to collectors and determiners held within, "Time series of zooplankton abundance in the Florida Keys, collected by the South Florida Program (NOAA/AOML) and the Marine Biodiversity Observation Network (MBON)". Claims or attributions were made on Bionomia by volunteer Scribes, <a href="https://bionomia.net/dataset/ec0d2fe8-21b1-4ab1-8b91-67873e8ca912">https://bionomia.net/dataset/ec0d2fe8-21b1-4ab1-8b91-67873e8ca912</a> using specimen data from the dataset aggregated by the Global Biodiversity Information Facility, <a href="https://gbif.org/dataset/ec0d2fe8-21b1-4ab1-8b91-67873e8ca912">https://gbif.org/dataset/ec0d2fe8-21b1-4ab1-8b91-67873e8ca912</a>. Formatted as a Frictionless Data package.
Transitioning from microsatellites to SNP-based microhaplotypes in genetic monitoring programs: lessons from a 20-year time series of paired data.
<p>Many long-term genetic monitoring programs began before next-generation sequencing became widely available. Older programs can now transition to new marker systems usually consisting of 1000s of SNP loci, but there are still important questions about comparability, precision, and accuracy of key metrics estimated using SNPs. Ideally, transitioned programs should capitalize on new information without sacrificing continuity of inference across the time series. We combined existing microsatellite-based genetic monitoring information with SNP-based microhaplotypes obtained from archived samples of Rio Grande silvery minnow (<em>Hybognathus amarus</em>) across a 20-year time series to evaluate point estimates and trajectories of key genetic metrics. Demographic and genetic monitoring bracketed multiple collapses of the wild population, and included cases where captive-born repatriates comprised the majority of spawners in the wild. Even with smaller sample sizes, microhaplotypes yielded comparable and in some cases more precise estimates of variance genetic effective population size, multilocus heterozygosity and inbreeding compared to microsatellites because many more microhaplotype loci were available. Microhaplotypes also recorded shifts in allele frequencies associated with population bottlenecks. Trends in microhaplotype-based inbreeding metrics were associated with the fraction of hatchery-reared repatriates to the wild, and should be incorporated into future genomic monitoring. Although differences in accuracy and precision of some metrics were observed between marker types, biological inferences and management recommendations were consistent.</p>
Transitioning from microsatellites to SNP-based microhaplotypes in genetic monitoring programs: lessons from a 20-year time series of paired data.
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Data from: Trends in malaria in Odisha, India—an analysis of the 2003-2013 time-series data from the National Vector Borne Disease Control Program
Background: Although Odisha is the largest contributor to the malaria burden in India, no systematic study has examined its malaria trends. Hence, the spatio-temporal trends in malaria in Odisha were assessed against the backdrop of the various anti-malaria strategies implemented in the state. Methods: Using the district-wise malaria incidence and blood examination data (2003-2013) from the National Vector Borne Disease Control Program, blood examination-adjusted time-trends in malaria incidence were estimated and predicted for 2003-2013 and 2014-2016, respectively. An interrupted time series analysis using segmented regression was conducted to compare the disease trends between the pre (2003-2007) and post-intensification (2009-2013) periods. Key-informant interviews of state stakeholders were used to collect the information on the various anti-malaria strategies adopted in the state. Results: The state annual malaria incidence declined from 10.82/1000 to 5.28/1000 during 2003-2013 (adjusted annual decline: -0.54/1000, 95% CI: -0.78 to -0.30). However, the annual blood examination rate remained almost unchanged from 11.25% to 11.77%. The key-informants revealed that intensification of anti-malaria activities in 2008 led to a more rapid decline in malaria incidence during 2009-2013 as compared to that in 2003-2007 [adjusted decline: -0.83 (-1.30 to -0.37) and -0.27 (-0.41 to -0.13), respectively]. There was a significant difference in the two temporal slopes, i.e., -0.054 (-0.10 to -0.002, p=0.04) per 1000 population per month, between these two periods, indicating almost a 200% greater decline in the post-intensification period. Although, the seven southern high-burden districts registered the highest decline, they continued to remain in that zone, thereby, making the achievement of malaria elimination (incidence <1/1000) unlikely by 2017. Conclusion: The anti-malaria strategies in Odisha, especially their intensification since 2008, have helped improve its malaria situation in recent years. These successful measures need to be sustained and perhaps intensified further for eliminating malaria from Odisha.
Antibiotic Stewardship Program in Pancreatic Surgery: a Multicenter Time Series Analysis (BIOSTEPS).
ClinicalTrials.gov study NCT04199494. IPD Sharing: NO. Countries: 1. Publications: 0.
Data from: Trends in malaria in Odisha, India—an analysis of the 2003-2013 time-series data from the National Vector Borne Disease Control Program
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Hawaii Ocean Time-series (HOT) Program
Scientists working on the Hawaii Ocean Time-series (HOT) program have been making repeated observations of the hydrography, chemistry and biology of the water column at a station north of Oahu, Hawaii since October 1988. The objective of this research is to provide a comprehensive description of the ocean at a site representative of the North Pacific subtropical gyre. Cruises are made approximately once per month to the deep-water Station ALOHA (A Long-Term Oligotrophic Habitat Assessment) located 100 km north of Oahu, Hawaii. Measurements of the thermohaline structure, water column chemistry, currents, optical properties, primary production, plankton community structure, and rates of particle export are made on each cruise.
Leveraging the Hawaii Ocean Time-series program for validation of the PACE Mission in oligotrophic waters
In this project, we leverage the near-monthly, 5-day long expeditions to oligotrophic waters approximately 100 km from Oahu, Hawaii, conducted by the Hawaii Ocean Time-series (HOT) program. We will participate in ~30 HOT cruises across all seasons over a 3-year period, amounting to ~ 150 days of high-quality collection of a suite of essential parameters for PACE Mission validation.
CARIACO Ocean Time Series program, Cariaco Basin, Venezuela
Since November 1995, the CARIACO Ocean Time Series program has been studying the relationship between surface biogeochemical processes and the vertical fluxes of carbon and nutrients in a continental margin setting influenced by seasonal upwelling. This tectonic depression, located on the continental shelf of Venezuela, shows marked seasonal and interannual variation in hydrography and primary production induced in part by the regular migration of the Intertropical Convergence Zone (ITCZ). Between December and May, the Cariaco Basin experiences dry, upwelling-favorable weather. This leads to primary production of ~1.4 gC m-2 d-1 (upper 100 m). From June to November is the rainy season, winds are weaker and upwelling is reduced; primary production falls to half the rate observed during upwelling. The ultimate goal of CARIACO is to understand how meteorological and upper ocean hydrographic conditions affect primary production, dissolved inorganic carbon, CO2 fugacity, bacterial productivity and respiration, and vertical particle fluxes, and how variation in these parameters are reflected in the basin's sedimentary record, which is well known for storing high-frequency global climate signals.
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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)
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.