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110 results for “population survey”
Adult Population Survey of Hemlock Woolly Adelgid in Massachusetts 2003-2005
To effectively document insect presence and abundance a statistically based sampling plan is necessary. No such plan for the hemlock woolly adelgid is currently available in the published literature. Two interrelated sampling strategies allow a researcher to enter a site and determine with a given level of probability whether or not an HWA infestation is present and the level of infestation. A ground based sampling plan is also critical to the ‘ground truthing’ of aerial survey systems. A fully developed sampling plan requires relatively extensive datasets obtained over time, and may include the use of computer-generated data obtained through re-sampling techniques. The results obtained through the Harvard Forest Summer Research Program should provide a firm foundation for further development of an HWA sampling program. Data collection is on-going.
Prevalence and determinants of cardiovascular risk factors in Lesotho: a population-based survey
<p>These are pseudo-anonymised data from the ComBaCaL survey and belong to the manuscript "Prevalence and determinants of cardiovascular risk factors in Lesotho: a population-based survey" which can be found at <a href="https://doi.org/10.1093/inthealth/ihad058">https://doi.org/10.1093/inthealth/ihad058</a>. </p> <p>The data dictionary explains the critical data available in the dataset. Between November 2021 and August 2022 , 6061 participants over 18 years old were visited in their households in two districts of Lesotho. </p>
Data for The UNCOVER Survey: A First-Look HST+JWST Catalog of Galaxy Redshifts and Stellar Populations Properties Spanning 0.2 ≲ z ≲ 15
<p>The recent UNCOVER survey with the James Webb Space Telescope (JWST) exploits the nearby cluster Abell 2744 to create the deepest view of our universe to date by leveraging strong gravitational lensing. In this work, we perform photometric fitting of more than 50,000 robustly detected sources out to z ~ 15. We show the redshift evolution of stellar ages, star formation rates, and rest-frame colors across the full range of 0.2 < z < 15. The galaxy properties are inferred using the Prospector Bayesian inference framework using informative Prospector-beta priors on masses and star formation histories to produce joint redshift and stellar populations posteriors, and additionally lensing magnification is performed on-the-fly to ensure consistency with the scale-dependent priors. We show that this approach produces excellent photometric redshifts with NMAD ~ 0.03, of a similar quality to the established photometric redshift code EAzY. In line with the open-source scientific objective of the Treasury survey, we publicly release the stellar populations catalog with this paper, derived from the photometric catalog adapting aperture sizes based on source profiles. This release includes posterior moments, maximum-likelihood spectra, star-formation histories, and full posterior distributions, offering a rich data set to explore the processes governing galaxy formation and evolution over a parameter space now accessible by JWST.</p>
Summer 2007 crab population survey based on crab hole counts in fifty-four GCE LTER Hammock sites and four GCE LTER study sites
Crab abundance was investigated at fifty-four hammock sampling sites and four Georgia Coastal Ecosystems (GCE) LTER study sites in June-July 2007 by counting crab holes as a proxy measurement. Each hammock site had six permanent study plots which were previously laid out. Crab holes were counted within a random location inside those six plots at each hammock. Crab holes were counted within a 625 cm^2 area and species were not differentiated in the count, but noted. This method estimates total crab abundance in each study site.
Summer 2007 mollusc population survey in fifty-five GCE LTER Hammock sites and five GCE marsh monitoring sites
Mollusc species and abundance was determined within fifty-five GCE LTER hammock sites and five GCE LTER study sites in June-July 2007. Species abundance was determined by hand-collecting all molluscs from within quadrats of known area at six plots at each site. Molluscs were brought back to the lab, preserved in ethanol, then counted and measured (size data is reported separately).
MCR LTER: Coral Reef: Long-Term Coral Population and Community Dynamics: Annual Island Wide Coral Demography Survey 2011 ongoing
Demographic performance (recruitment, growth, and survival) are quantified annually for multiple individual colonies of the three most common genera (Acropora, Pocillopora, Porites) at both backreef and forereef sites. Each coral was tagged in 2011 and subsequently sampled again in 2012 to track colony growth and mortality dynamics. However, since 2013, investigators have transitioned to identifying coral through detailed mapping methodology and will continue to identify corals using this method in the subsequent years. The mapping system developed in 2013 provides data appropriate for detailed demographic study of coral on varying spatial scales around the island. This material is based upon work supported by the U.S. National Science Foundation under Grant No. OCE 16-37396 (and earlier awards) as well as a generous gift from the Gordon and Betty Moore Foundation. Research was completed under permits issued by the French Polynesian Government (Délégation à la Recherche) and the Haut-commissariat de la République en Polynésie Francaise (DTRT) (Protocole d'Accueil 2005-2022). This work represents a contribution of the Moorea Coral Reef (MCR) LTER Site.
Population size, HIV prevalence, and antiretroviral therapy coverage among key populations in sub-Saharan Africa: collation and synthesis of survey data 2010-2023
<p>This dataset contains surveillance study estimates for population size, HIV prevalence, and ART coverage among female sex workers (FSW), men who have sex with men (MSM), people who inject drugs (PWID), and transgender men and women (TGM/W) from 2010-2023. It was created to support the UNAIDS Estimates Key Population Workbook for use by HIV estimates teams in sub-Saharan Africa. Key population surveillance reports, including Ministry of Health-led biobehavioural surveys, mapping studies, and academic studies were used to populate the database.</p> <p>The dataset was populated using existing key population size estimate databases including:</p> <ul> <li>UNAIDS Key Population Atlas</li> <li>US Centers for Disease Control and Prevention surveillance database</li> <li>Global Fund against HIV/AIDS, TB, and Malaria surveillance database</li> <li>Global.HIV database</li> <li>Systematic review databases among MSM (<a href="https://pubmed.ncbi.nlm.nih.gov/31601542/" target="_blank" rel="noopener">Stannah et al, 2019</a> and <a href="https://pubmed.ncbi.nlm.nih.gov/37453439/" target="_blank" rel="noopener">Stannah et al., 2023</a>) and PWID (<a href="https://pubmed.ncbi.nlm.nih.gov/36996857/" target="_blank" rel="noopener">Degenhardt et al., 2023</a>)</li> </ul> <p><br>and was additionally supplemented by a literature review of peer-reviewed and grey literature sources.</p> <p>The data can be <a href="https://shiny.dide.ic.ac.uk/kp-data/" target="_blank" rel="noopener">explored in this web application</a> and the <a href="https://www.medrxiv.org/content/10.1101/2022.07.27.22278071v3" target="_blank" rel="noopener">accompanying manuscript can be found here</a></p>
A survey of scorpion (Scorpiones) populations along an urbanization gradient in the greater Phoenix metropolitan area, Arizona, USA (summer 2019)
The goal of this research project was to evaluate how scorpion populations responded to the gradient of urbanization. We conducted 50 night-time walking transects across the gradient of urbanization from downtown Phoenix to nearby wildland areas during Summer 2019. We commonly documented three scorpion species. Data present whether a species was detected at a site during this time period.
Fig. 4 in Connecting systematic and ecological studies using DNA barcoding in a population survey of Drosophilidae (Diptera) from Mt Oku (Cameroon)
Fig. 4. Phylogenetic analysis of the subgenus Sophophora and Lissocephala aff. diola Tsacas & Lachaise, 1979. Conventions as for Fig. 3.
Fig. 2 in Connecting systematic and ecological studies using DNA barcoding in a population survey of Drosophilidae (Diptera) from Mt Oku (Cameroon)
Fig. 2. Percent divergence of the morphospecies DNA barcode from the closest neighbor found in the barcode database.
Fig. 3 in Connecting systematic and ecological studies using DNA barcoding in a population survey of Drosophilidae (Diptera) from Mt Oku (Cameroon)
Fig. 3. Phylogenetic analysis of the genus Zaprionus and Microdrosophila aff. mamaru (Burla, 1954). This tree is the neighbor-joining tree. The maximum likelihood tree gives the same topology. Nodes with a bootstrap value lower than 50% were merged. Bootstrap values were calculated over 1000 repeats. Above nodes: bootstrap values for maximum likelihood using a GTR + G + I model. Below nodes: bootstrap values for neighbor-joining using the Kimura-2p distance.
CEAD Population Survey Quito: Data and Variable Code Equivalencies
<p>We conducted a cross-sectional study with 656 adults from health district 17D06, South Quito, Ecuador, using multi-stage cluster sampling. The study followed an adapted WHO STEPwise approach, considering Ecuador's 2018 STEPwise survey.</p> <p>For more information, contact Clara Blanes Mira: c.blanes@umh.es</p> <p> </p>
Рис. 7. ГнезΑо ΑаΛьневосточного аиста, распоΛоженное на гнезΑовой пΛатформе, установΛенной на опоре ΑЭП-500 в Серышевском районе Амурской обΛасти Fig. 7. The Oriental stork nest, built on the special platform installed on a 500 kV power transmission pole in the Seryshevsky district of the Amur region in Oriental stork (Ciconia boyciana Swinhoe) breeding population survey in the Amur region in 2018-2019
Рис. 7. ГнезΑо ΑаΛьневосточного аиста, распоΛоженное на гнезΑовой пΛатформе, установΛенной на опоре ΑЭП-500 в Серышевском районе Амурской обΛасти Fig. 7. The Oriental stork nest, built on the special platform installed on a 500 kV power transmission pole in the Seryshevsky district of the Amur region
Рис. 6. Карта распоΛожения гнезΑ ΑаΛьневосточного аиста в Амурской обΛасти в 2018– 2019 гг. по типам гнезΑовых опор Fig. 6. Map of Oriental stork nests in the Amur region in 2018–2019 by types of nesting supports in Oriental stork (Ciconia boyciana Swinhoe) breeding population survey in the Amur region in 2018-2019
Рис. 6. Карта распоΛожения гнезΑ ΑаΛьневосточного аиста в Амурской обΛасти в 2018– 2019 гг. по типам гнезΑовых опор Fig. 6. Map of Oriental stork nests in the Amur region in 2018–2019 by types of nesting supports
Рис.5. СоотношениеразΛичныхгнезΑовыхтиповопорв 2018–2019 гг. поаΑминистративным районам (Λевый график) и в цеΛом по Амурской обΛасти (правый график) Fig. 5. The ratio of different types of nesting supports in 2018–2019 by administrative districts (right graph) and in general in the Amur region (left graph) in Oriental stork (Ciconia boyciana Swinhoe) breeding population survey in the Amur region in 2018-2019
Рис.5. СоотношениеразΛичныхгнезΑовыхтиповопорв 2018–2019 гг. поаΑминистративным районам (Λевый график) и в цеΛом по Амурской обΛасти (правый график) Fig. 5. The ratio of different types of nesting supports in 2018–2019 by administrative districts (right graph) and in general in the Amur region (left graph)
Рис. 4. Фотографии жиΛых гнезΑ в заказнике «Амурский» на искусственных гнезΑовых треногах (сΛева — «активное», справа — «засеΛенное») Fig. 4. Photos of inhabited nests in the Amursky wildlife reserve that are located on artificial nesting structures ("active" on the left and "inhabited" on the right) in Oriental stork (Ciconia boyciana Swinhoe) breeding population survey in the Amur region in 2018-2019
Рис. 4. Фотографии жиΛых гнезΑ в заказнике «Амурский» на искусственных гнезΑовых треногах (сΛева — «активное», справа — «засеΛенное») Fig. 4. Photos of inhabited nests in the Amursky wildlife reserve that are located on artificial nesting structures ("active" on the left and "inhabited" on the right)
Рис. 3. КоΛичество фактически учтенных жиΛых гнезΑ в 2018–2019 гг. на особо охраняемых прироΑных территориях Амурской обΛасти Fig. 3. The actual number of inhabited nests in 2018–2019 in protected natural areas of the Amur region in Oriental stork (Ciconia boyciana Swinhoe) breeding population survey in the Amur region in 2018-2019
Рис. 3. КоΛичество фактически учтенных жиΛых гнезΑ в 2018–2019 гг. на особо охраняемых прироΑных территориях Амурской обΛасти Fig. 3. The actual number of inhabited nests in 2018–2019 in protected natural areas of the Amur region
Рис. 2. КоΛичество жиΛых гнезΑ ΑаΛьневосточного аиста, учтенных в 2018–2019 гг. по аΑминистративным районам Амурской обΛасти Fig. 2. The number of inhabited Oriental stork nests recorded in 2018–2019 in different administrative districts of the Amur region in Oriental stork (Ciconia boyciana Swinhoe) breeding population survey in the Amur region in 2018-2019
Рис. 2. КоΛичество жиΛых гнезΑ ΑаΛьневосточного аиста, учтенных в 2018–2019 гг. по аΑминистративным районам Амурской обΛасти Fig. 2. The number of inhabited Oriental stork nests recorded in 2018–2019 in different administrative districts of the Amur region
Рис. 1. Размещение трансект (спΛошные черные Λинии) и Αаты провеΑения учетов в Охотском море и сопреΑеΛьных воΑах Тихого океана и Японского моря в февраΛе — мае 2020 г. РыбоΛовные районы: 05.1 — Северо-Охотоморская поΑзона; 05.2 — ЗапаΑно-Камчатская поΑзона; 05.3 — Восточно-СахаΛинская поΑзона; 05.4 — Камчатско-КуриΛьская поΑзона; 03 — Северо-КуриΛьская зона; 04 — Южно-КуриΛьская зона; 06 — зона Японское море. Пунктиром показана 200-метровая изобата Fig. 1. Transect locations (solid black lines) and dates of surveys in the Sea of Okhotsk and adjacent waters of the Pacific Ocean and the Sea of Japan in February–May 2020. Codes of the fishery areas are as follows: 05.1 — Northern Sea of Okhotsk Subzone; 05.2 — West Kamchatka Subzone; 05.3 — East Sakhalin Subzone; 05.4 — Kamchatka-Kuril Subzone; 03 — North Kuril Zone; 04 — South Kuril Zone; 06 — Sea of Japan Zone. Dotted line indicates a 200 m isobath in Population of seabirds in the Sea of Okhotsk and adjacent waters of the Pacific Ocean and the Sea of Japan during the winter-spring period of 2020
Рис. 1. Размещение трансект (спΛошные черные Λинии) и Αаты провеΑения учетов в Охотском море и сопреΑеΛьных воΑах Тихого океана и Японского моря в февраΛе — мае 2020 г. РыбоΛовные районы: 05.1 — Северо-Охотоморская поΑзона; 05.2 — ЗапаΑно-Камчатская поΑзона; 05.3 — Восточно-СахаΛинская поΑзона; 05.4 — Камчатско-КуриΛьская поΑзона; 03 — Северо-КуриΛьская зона; 04 — Южно-КуриΛьская зона; 06 — зона Японское море. Пунктиром показана 200-метровая изобата Fig. 1. Transect locations (solid black lines) and dates of surveys in the Sea of Okhotsk and adjacent waters of the Pacific Ocean and the Sea of Japan in February–May 2020. Codes of the fishery areas are as follows: 05.1 — Northern Sea of Okhotsk Subzone; 05.2 — West Kamchatka Subzone; 05.3 — East Sakhalin Subzone; 05.4 — Kamchatka-Kuril Subzone; 03 — North Kuril Zone; 04 — South Kuril Zone; 06 — Sea of Japan Zone. Dotted line indicates a 200 m isobath
Figure 6 in Ecological surveys on the parthenogenetic Artemia populations in the hypersaline lakes of Anatolia, Turkey
Figure 6. Seasonal fluctuations in densities (ind. m–3) of Artemia and percentage of individuals subdivided in different age classes from Acıgöl Lake.
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.