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276 results for “Small population”
Population dynamics of small mammals in the Jura massif, Franche-Comté, France (1979-2000)
<p>Small mammal populations were monitored seasonally from August 1979 to July 2000 according to a stratified sampling plan and using standard trapping, mostly in the area of Septfontaines – Le Souillot, Doubs, France (6.18°E, 46.97°N). The dataset includes 2120 trap lines (90% n = 1912 in the Septfontaines – Le Souillot (LS) area), and 22848 captures (92% n = 20937 in the LS area).</p> <p><strong>Methods</strong></p> <p>Small mammals were captured using INRA trap lines. INRA live traps (15 × 5 × 5 cm) are suitable for species of body mass less than 50 g. In a standard way generally applied here,each trap line consisted of 34 live traps spaced 3 meters apart. Trap lines were set up for three nights and checked every morning. Animals were euthanized by cervical dislocation, weighed and dissected for sex, reproductive status and age determination. Liver was examined macroscopically for parasites. Relative age was estimated based on the dry weight of crystalline eye lenses.</p> <p><em>Caveats:</em> in a very little number of cases (beginning of the study and circumstantial occasions) trap lines were not standard (150 m length, 51 traps, or set up for one or two nights only, etc.). See <a href="https://zenodo.org/record/6997317/files/Codes_Trapline.docx?download=1">Codes_Trapline.docx</a> and fields "remarques" (table <a href="http://zenodo.org/record/6997317/files/traplines.txt?download=1">traplines.txt</a>) and 'observation' (table <a href="http://zenodo.org/record/6997317/files/captures.txt?download=1">captures.txt</a>). Sometimes field not informed have been coded "", 99 or NA. Although we did our best to harmonize this in the files uploaded, some inconsistencies might remain. Those issues should be considered carefully before data analysis.</p> <p>Trapping and animal handling was carried out in full accordance with the relevant European guidelines (Directive 86/609/EEC) and national regulations. INRA (<em>Institut National de la Recherche Agronomique</em>), the umbrella organization under which the field work was carried out, created its first ethical committee in 1998. It was therefore impossible to get formal ethical approval prior to the major part of the study. A similar research protocol used from 2014 to 2017 received full approval from the <em>Comité d’Éthique Bisontin en Expérimentation Animale</em> (CEBEA No. 58).</p> <p><strong>FILE DESCRIPTION</strong></p> <p>Files <a href="https://zenodo.org/record/6997317/files/traplines.txt?download=1">traplines.txt</a>, <a href="https://zenodo.org/record/6997317/files/Ccaptures.txt?download=1">captures.txt</a> and <a href="https://zenodo.org/record/6997317/files/rates.txt?download=1">rates.txt</a> are tables of a relational database. They can be linked using the index field 'codeligne' between <a href="https://zenodo.org/record/6997317/files/traplines.txt?download=1">traplines.txt</a> and <a href="https://zenodo.org/record/6997317/files/captures.txt?download=1">captures.txt</a>, and 'codeind' between <a href="https://zenodo.org/record/6997317/files/captures.txt?download=1">captures.txt</a> and <a href="https://zenodo.org/record/6997317/files/rates.txt?download=1">rates.txt</a>.</p> <p><strong>Main files</strong></p> <p><a href="https://zenodo.org/record/6997317/files/captures.txt?download=1">captures.txt</a></p> <ul> <li>codeligne, trapline ID</li> <li>numind, specimen ID for the trap line</li> <li>numcontr, control number (traps were controlled every morning; for 3 successive nights for standard trap lines). E.g. 1 for a specimen captured on the 1st control.</li> <li>numpiege, trap ID in the trap line (1,2,....n). E.g. 34 is the 34th trap in the trap line counted from the beginning.</li> <li>espece, species (see <a href="http://zenodo.org/record/6997317/files/Codes_Sp_Parasites.docx?download=1">Codes_Sp_Parasites.docx</a> for the codes)</li> <li>poids, wet weight in g</li> <li>sexe, sex (1 male, 2 female)</li> <li>cristallin, dry weight of the two crystalline lens, in 1/10 of mg</li> <li>uterus, uterus diameter</li> <li>foetusd, number of foetuses in the uterus right horn</li> <li>foetusg, number of foetuses in the uterus left horn</li> <li>cicplacd, number of placental scares in the uterus right horn</li> <li>cicplacg, number of placental scares in the uterus left horn</li> <li>corpsjd, number of <em>corpus luteum</em> in the right ovary</li> <li>corpsjg, number of <em>corpus luteum</em> in the left ovary</li> <li>allaitante, milking (1 yes, 0 no)</li> <li>corpsblancd, number of <em>corpus albicans</em> in the right ovary</li> <li>corpsblancg, number of <em>corpus albicans</em> in the left ovary</li> <li>testd, length of the right testicle</li> <li>testg, length of the left testicle</li> <li>vesd, length of the right seminal vesicle</li> <li>vesg, length of the left seminal vesicle</li> <li>diammax, parasite mass great diameter</li> <li>diammin, parasite mass small diameter</li> <li>nombrekyste, parasite cyst number</li> <li>nomlu, parasite species as identified in the field</li> <li>nomanaly, parasite species as identified in the lab</li> <li>observation, remark</li> <li>codeind, specimen ID (codeligne+numind)</li> </ul> <p><a href="https://zenodo.org/record/6997317/files/rates.txt?download=1">rates.txt </a></p> <ul> <li>codeind, specimen ID</li> <li>ratepds, spleen weight (1/100 g)</li> <li>remarque, remark</li> </ul> <p><a href="https://zenodo.org/record/6997317/files/traplines.txt?download=1">traplines.txt</a></p> <ul> <li>codeligne, 8 digits trap line ID. LS891001 = location LS, 89 year, 10 month, 01, trap line ID for this place, year and month. See <a href="https://zenodo.org/record/6997317/files/Codes_Trapline.docx?download=1">Codes_Trapline.docx</a> for more details.</li> <li>dept, administrative department (INSEE code)</li> <li>date, date at which the trapline has been set up</li> <li>descripteur1, habitat description, <a href="https://zenodo.org/record/6997317/files/Codes_Trapline.docx?download=1">Codes_Trapline.docx</a></li> <li>descripteur2, habitat description, see <a href="https://zenodo.org/record/6997317/files/Codes_Trapline.docx?download=1">Codes_Trapline.docx</a></li> <li>facies, habitat description, see <a href="https://zenodo.org/record/6997317/files/Codes_Trapline.docx?download=1">Codes_Trapline.docx</a></li> <li>remarque, remark,</li> <li>lati, latitude of the northwest corner of the sampling grid (CRS NTF (Paris) / Lambert zone II, EPSG: 27572), see <a href="https://zenodo.org/record/6997317/files/Codes_Trapline.docx?download=1">Codes_Trapline.docx</a></li> <li>longi, longitude of the northwest corner of the sampling grid (CRS NTF (Paris) / Lambert zone II, EPSG: 27572), see <a href="https://zenodo.org/record/6997317/files/Codes_Trapline.docx?download=1">Codes_Trapline.docx</a></li> <li>precis, precision, the number of Lambert II squares (1km x 1km) composing the square side of the grid, see <a href="https://zenodo.org/record/6997317/files/Codes_Trapline.docx?download=1">Codes_Trapline.docx</a></li> </ul> <p><strong>Supplementary files</strong></p> <p><a href="https://zenodo.org/record/6997317/files/bboxlarge.kml?download=1">bboxlarge.kml</a>, the bounding box including all the area with trap lines that could be geographically located. It takes the precision of the location into account (hence, includes the southeastern extremes of the grid squares (see Codes_Trapline.docx).</p> <p><a href="https://zenodo.org/record/6997317/files/bboxLS.kml?download=1">bboxLS.kml</a>, the bounding box of the study area "LS" (Le Souillot) including all the trap lines that could be geographically located. It takes the precision of the location into account (hence, includes the southeastern extremes of the grid squares, see <a href="https://zenodo.org/record/6997317/files/Codes_trapline.docx?download=1">Codes_Trapline.docx</a>). Those trap lines are the core (90% of the total number of the traplines set) of the research carried out in the area.</p> <p><a href="https://zenodo.org/record/6997317/files/lineloc.kml?download=1">lineloc.kml</a>, the geographical coordinates of the northwestern corner of the square including each trap line with trapline ID and precision (1, square of 1 x 1 km; 2, square of 2 x 2 km, etc.).</p> <p><a href="https://zenodo.org/record/6997317/files/Code_Sp_Parasites.docx?download=1">Codes_Sp_Parasites.docx</a>, codes of small mammal species and parasite names.</p> <p><a href="https://zenodo.org/record/6997317/files/Codes_Trapline.docx?download=1">Codes_Trapline.docx</a>, codes of trap lines.</p>
Long-Term Studies of Huron Mountain Club Small Mammal Populations
These datasets include small mammal population data collected by Richard Manville (1940-1942), Phillip Myers (2003), and Allison Poor (2004-2005). Small mammal traps were initially placed in 8 locations throughout the Huron Mountains in Michigan's Upper Peninsula from 1940-1942 by Richard Manville. Small mammals present in the traps were recorded once each year and twice in 1941. This study was repeated by Phillip Myers and Allison Poor from 2003-2005.
Small Mammal Mark-Recapture Population Dynamics at Core Research Sites at the Sevilleta National Wildlife Refuge, New Mexico (1989-present)
This file contains mark/recapture trapping data collected from 1989-present on permanently established web trapping arrays at sites on the Sevilleta National Wildlife Refuge in central New Mexico.. The trapping sites are representative of Chihuahuan Desert Grassland, Chihuahuan Desert Shrubland, Pinyon-Juniper Woodland, Juniper Savanna, Plains-Mesa Sand Scrub and Blue Grama Grassland. Not all sites have been trapped for the entire period: goatdraw (1992-2008), blue grama (2002-2004) rsgrass (1989-1998), rslarrea (1989-2009), two2 (1989-1998), savanna (1999-2002). Only 2 sites have been continuously been sampled since 1989 (5pgrass and 5plarrea). At each site 3 trapping webs are sampled for 3 consecutive nights in spring and fall. Each trapping web consists of 145 rebar stakes numbered from 1-145. There are 148 traps deployed on each web: 12 along each of 12 spokes radiating out from a central point (stake #145) plus 4 traps placed at the center of each web. The wide format facilitates community composition and species diversity analyses. Wide format has been reshaped so that the count data for each species are presented in a unique column. Data are summarized for each trapping web X trapping bout to present the mean number of animals per trap per night of the trapping bout. Wide format fills zeros for species that were not captured on a web during a given trapping bout. Long format facilitates filtering the dataset to a particular small mammal species of interest, but this format requires the addition of zeros to be functional for accurate data analysis requiring counts of animals.
Data to support Whitney JL, Coleman RR, Deakos MH "Genomic evidence indicates small island-resident populations and sex-biased behaviors of Hawaiian Reef Manta Rays"
<p>Datasets supporting the manuscript: Whitney JL, Coleman RR, Deakos MH "Genomic evidence indicates small island-resident populations and sex-biased behaviors of Hawaiian Reef Manta Rays". <em>BMC Ecology and Evolution </em><strong>23</strong>, 31 (2023). https://doi.org/10.1186/s12862-023-02130-0</p> <p>Nuclear data:</p> <p>"Mobula-alfredi_nuclear_reference_RAD_contigs.fasta" is a fasta of 359,751 contigs that serve as the reference for nuclear alignment of genotypes to RAD loci. Contigs begin and end with GATC cut site.</p> <p>Mobula-alfredi_nuclear_all_2048snps_38genotypes.vcf is a VCF file with all 2048 nuclear SNPs in final filtered SNP dataset. 38 genotypes are included from Maui Nui and Hawaii Island. This 2048 SNPs includes both 2038 neutral and 10 outlier SNPs. </p> <p>Mobula-alfredi_nuclear_neutral_2038snps_38genotypes.vcf is a VCF file with 2038 neutral nuclear SNPs genotyped in 38 individuals from Maui Nui and Hawaii Island. </p> <p>Mobula-alfredi_nuclear_outliers_10snps_38genotypes.vcf is a VCF file with 10 outlier SNPs genotyped in 38 individuals from Maui Nui and Hawaii Island. </p> <p>Structure (.str) files are also provided in addition to VCFs. In all files Population prefixes M=Maui Nui and K=Hawaii Island. </p> <p>Mitochondrial data:</p> <p>Mobula-alfredi_mitogenome_34haplotypes_9sites_min4x.vcf is a VCF file with 9 variant sites across the mitogenome haplotyped in 34 individuals from Maui Nui and Hawaii Island. </p> <p>Mobula-alfredi_mitogenome_34haplotypes_allsites_min4x.fasta is a FASTA file with whole mitogenomes aligned to OP562409 [https://www.ncbi.nlm.nih.gov/nuccore/OP562409]. Sites with less than 4x coverage were masked with Ns. </p> <p>Mobula-alfredi_mitogenome_reference_OP562409.fasta is a FASTA file containing the <em>Mobula alfredi</em> reference mitogenome OP562409 [https://www.ncbi.nlm.nih.gov/nuccore/OP562409].</p> <p> </p>
Data from: Long-term persistence of monotypic dengue transmission in small size isolated populations, French Polynesia, 1978-2014
<p>Understanding the transition of epidemic to endemic dengue transmission remains a challenge in regions where serotypes co-circulate and there is extensive human mobility. French Polynesia, an isolated group of 72 inhabited islands, distributed among five geographically separated subdivisions, has recorded mono-serotype epidemics since 1944, with long inter-epidemic periods of circulation. Laboratory confirmed cases have been recorded since 1978, enabling exploration of dengue epidemiology under monotypic conditions in an isolated, spatially structured geographical location. A database was constructed of confirmed dengue cases, geolocated to island for a 35-year period. Statistical analyses of viral establishment, persistence and fade-out as well as synchrony among subdivisions were performed. Seven monotypic and one heterotypic dengue epidemic occurred, followed by low-level viral circulation with a recrudescent epidemic occurring on one occasion. Incidence was asynchronous among the subdivisions. Complete viral die-out occurred on several occasions with invasion of a new serotype, but also in the absence of any novel serotype. Island population size had a strong impact on the establishment, persistence and fade-out of dengue cases and endemicity was estimated achievable only at a population size in excess of 175 000. Despite island remoteness and low population size, dengue cases were observed somewhere in French Polynesia almost constantly, in part due to the spatial structuration generating asynchrony among subdivisions. Long-term persistence of dengue virus in this group of island populations may be enabled by island hopping, although could equally be explained by a reservoir of sub-clinical infections on the most populated island, Tahiti.</p>
Data from: Sporadic genetic connectivity among small insular populations of the rare geoendemic plant Caulanthus amplexicaulis var. barbarae (Santa Barbara Jewelflower)
Globally, a small number of plants have adapted to terrestrial outcroppings of serpentine geology, which are characterized by soils with low levels of essential mineral nutrients (N, P, K, Ca, Mo) and toxic levels of heavy metals (Ni, Cr, Co). Paradoxically, many of these plants are restricted to this harsh environment. Caulanthus ampexlicaulis var. barbarae (Brassicaceae) is a rare annual plant that is strictly endemic to a small set of isolated serpentine outcrops in the coastal mountains of central California. The goals of the work presented here were to 1) determine the patterns of genetic connectivity among all known populations of Caulanthus ampexlicaulis var. barbarae, and 2) estimate contemporary effective population sizes (Ne), in order to inform ongoing genomic analyses of the evolutionary history of this taxon, and to provide a foundation upon which to model its future evolutionary potential and long-term viability in a changing environment. Eleven populations of this taxon were sampled, and population-genetic parameters were estimated using 11 nuclear microsatellite markers. Contemporary effective population sizes were estimated using multiple methods and found to be strikingly small (typically Ne < 10). Further, our data showed that a substantial component of genetic connectivity of this taxon is not at equilibrium, and instead showed sporadic gene flow. Several lines of evidence indicate that gene flow between isolated populations is maintained through long-distance seed dispersal (e.g. > 1 km), possibly via zoochory.
Fig.5 in Genetic And Morphological Variability Of Small Vendace (Coregonus Albula (Linnaeus, 1758)) Population In Three Latvian Lakes
Fig.5. Principal component analysis (PCA) plot of the genetic structuring among the three vendace populations. A). PC1 and PC2 explain 25.50% and 21.88% of the total variation, respectively (by allozyme markers); B). PC1 and PC2 explain 19.52% and 13.73% of the total variation, respectively (by RAPD markers).
Fig. 4 in Genetic And Morphological Variability Of Small Vendace (Coregonus Albula (Linnaeus, 1758)) Population In Three Latvian Lakes
Fig. 4. Number of RAPD loci and gene diversity of Coregonus albula in three Latvian lakes, based on RAPD markers.
Fig.3 in Genetic And Morphological Variability Of Small Vendace (Coregonus Albula (Linnaeus, 1758)) Population In Three Latvian Lakes
Fig.3. Allelic richness and polymorphism in Coregonus albula populations in studied lakes based on allozyme markers.
Рис. 2. МежгоΔовое соотношение чисΛенного обиΛия семейств герпетобионтных жесткокрыΛых в пойме (2008–2011 гг.) Fig. 2. Inter-annual ratio of numerical abundance of herpetobiont beetle families in the floodplain (2008–2011) in Population Dynamics For Herpetobiont Beetles (Coleoptera) In The Floodplain Of A Small Tributary In The Lower Reaches Of The Irtysh
Рис. 2. МежгоΔовое соотношение чисΛенного обиΛия семейств герпетобионтных жесткокрыΛых в пойме (2008–2011 гг.) Fig. 2. Inter-annual ratio of numerical abundance of herpetobiont beetle families in the floodplain (2008–2011)
Рис. 1. ÀенΔрограмма схоΔства (коэффициент Жаккара) состава насеΛения герпетобионтных жесткокрыΛых поймы разных Λет (2008–2011 гг.) Fig. 1. The dendrogram of faunistic similarity (Jacquard coefficient) for the population composition of herpetobiont beetles in different years (2008–2011) in Population Dynamics For Herpetobiont Beetles (Coleoptera) In The Floodplain Of A Small Tributary In The Lower Reaches Of The Irtysh
Рис. 1. ÀенΔрограмма схоΔства (коэффициент Жаккара) состава насеΛения герпетобионтных жесткокрыΛых поймы разных Λет (2008–2011 гг.) Fig. 1. The dendrogram of faunistic similarity (Jacquard coefficient) for the population composition of herpetobiont beetles in different years (2008–2011)
Рис. 1. Δинамика чисΛенности меΛких мΛекопитающих в Цасучейском бору: 1 — суммарная чисΛенность (особей / 100 циΛинΑро-суток); Αоминирующие виΑы: 2 — забайкаΛьский хомячок, 3 — бурозубка тунΑряная, 4 — бурозубка крошечная, 5 — поΛёвка монгоΛьская, 6 — поΛёвка РаΑΑе, 7 — красная поΛёвка; A — остепнённый сосняк, B — первичная гарь, С — старая гарь, D — повторная гарь; стреΛка указывает время прохожΑения пожара. Ось X — гг., ось Y — чисΛенность Fig. 1. Population dynamics of small mammals in the Tsasucheysky Pine Forest: 1 — total abundance (individuals / 100 cylinder-days); dominant species: 2 — Cricetulus pseudogriseus, 3 — Sorex tundrensis, 4 — S. minutissimus, 5 — Alexandromys mongolicus, 6 — Lasiopodomys raddei, 7 — Myodes rutilus; A — steppe pine forest, B — primary burns site, С — old burns site; D — repeated burns site; the arrow indicates the time of the fire. The X-axis shows years; the Y-axis shows population density in Population dynamics of small mammals after spring fires in steppe pine forest
Рис. 1. Δинамика чисΛенности меΛких мΛекопитающих в Цасучейском бору: 1 — суммарная чисΛенность (особей / 100 циΛинΑро-суток); Αоминирующие виΑы: 2 — забайкаΛьский хомячок, 3 — бурозубка тунΑряная, 4 — бурозубка крошечная, 5 — поΛёвка монгоΛьская, 6 — поΛёвка РаΑΑе, 7 — красная поΛёвка; A — остепнённый сосняк, B — первичная гарь, С — старая гарь, D — повторная гарь; стреΛка указывает время прохожΑения пожара. Ось X — гг., ось Y — чисΛенность Fig. 1. Population dynamics of small mammals in the Tsasucheysky Pine Forest: 1 — total abundance (individuals / 100 cylinder-days); dominant species: 2 — Cricetulus pseudogriseus, 3 — Sorex tundrensis, 4 — S. minutissimus, 5 — Alexandromys mongolicus, 6 — Lasiopodomys raddei, 7 — Myodes rutilus; A — steppe pine forest, B — primary burns site, С — old burns site; D — repeated burns site; the arrow indicates the time of the fire. The X-axis shows years; the Y-axis shows population density
Figure 2 in Characterization of a Small Population of the Orangeblack Hawaiian Damselfly (Megalagrion xanthomelas) in Anchialine Pools at Kaloko-Honokōhau National Historical Park, Hawai'i Island
Figure 2. Male Megalagrion xanthomelas perched on pickleweed (A), a tandem pair of M. xanthomelas perched on a small branch (B), and four of the core pools where M. xanthomelas were surveyed (C–F). Note that the female M. xanthomelas (B) is probing the tip of her abdomen on the side of a branch that is above the surface of the water. The wetness of the branch suggests that it will be submerged during high tide.
Figure 1 in Characterization of a Small Population of the Orangeblack Hawaiian Damselfly (Megalagrion xanthomelas) in Anchialine Pools at Kaloko-Honokōhau National Historical Park, Hawai'i Island
Figure 1. Location of Kaloko-Honokōhau National Historical Park along the Kona Coast of Hawai'i. Anchialine pools supporting Megalagrion xanthomelas are located centrally in the Park between Kaloko and 'Aimakapā Fishponds.
Figure 4 in Characterization of a Small Population of the Orangeblack Hawaiian Damselfly (Megalagrion xanthomelas) in Anchialine Pools at Kaloko-Honokōhau National Historical Park, Hawai'i Island
Figure 4. Frequency of ovipositing behavior on substrates relative to the water surface in the five core pools where most observations were made and in all seven core pools combined. Ovipositing behavior was rarely observed at two core pools (7 and 58) and those data are not displayed individually.
Figure 5 in Diurnal activity pattern of age-sex groups of a small and fragmented population of Blackbuck (Antilope cervicapra L.) in Western Haryana, India
Figure 5. Behavioural activities recorded for sub adult male vs. total time spent during different season(s).
Figure 6 in Diurnal activity pattern of age-sex groups of a small and fragmented population of Blackbuck (Antilope cervicapra L.) in Western Haryana, India
Figure 6. Behavioural activities recorded for sub adult female vs. total time spent during different season(s).
Figure 3 in Diurnal activity pattern of age-sex groups of a small and fragmented population of Blackbuck (Antilope cervicapra L.) in Western Haryana, India
Figure 3. Behavioural activities recorded for adult male vs. total time spent during different season(s).
Figure 4 in Diurnal activity pattern of age-sex groups of a small and fragmented population of Blackbuck (Antilope cervicapra L.) in Western Haryana, India
Figure 4. Behavioural activities recorded for adult female vs. total time spent during different season(s).
Figure 8 in Diurnal activity pattern of age-sex groups of a small and fragmented population of Blackbuck (Antilope cervicapra L.) in Western Haryana, India
Figure 8. Average % time spent annually versus activities by different age sex group (Error bars with standard error and treatment bars with different letters differ significantly at P ≤ 0.05 based on Duncan Multiple Range Test).
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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.