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148 results for “Sample locations”
Рис. 1. Карта-схема распоΛожения станций отбора проб в оз. Арейское в 2019–2020 гг. Fig. 1. Schematic map of the sampling station locations in the Areiskoye Lake in 2019–2020: 1 — N 50°59.8657ʹ, E 111°14.1410ʹ; 2 — N 50°59.8836ʹ, E 111°15.4172ʹ; 3 — N 50°58.7316ʹ, E 111°15.0106ʹ; 4 — N 50°58.7474ʹ, E 111°14.1384ʹ; 5 — N 50°59.0378ʹ, E 111°13.9848ʹ; 6 — N 50°59.3193ʹ, E 111°14.0639ʹ in Zooplankton of the Areiskoye Lake (Ingoda River basin, Trans-Baikal Territory)
Рис. 1. Карта-схема распоΛожения станций отбора проб в оз. Арейское в 2019–2020 гг. Fig. 1. Schematic map of the sampling station locations in the Areiskoye Lake in 2019–2020: 1 — N 50°59.8657ʹ, E 111°14.1410ʹ; 2 — N 50°59.8836ʹ, E 111°15.4172ʹ; 3 — N 50°58.7316ʹ, E 111°15.0106ʹ; 4 — N 50°58.7474ʹ, E 111°14.1384ʹ; 5 — N 50°59.0378ʹ, E 111°13.9848ʹ; 6 — N 50°59.3193ʹ, E 111°14.0639ʹ
Рис. 1. Схема распоΛожения станций отбора проб (сервис ЯнΔекс.Карты) Fig. 1. Location of the sampling stations (source: Yandex.Maps) in Morphometric characteristics of Black Sea mussels Mytilus galloprovincialis Lam. as biomarkers of the anthropogenic impact on the Black Sea coastal biocenoses in tourist destinations
Рис. 1. Схема распоΛожения станций отбора проб (сервис ЯнΔекс.Карты) Fig. 1. Location of the sampling stations (source: Yandex.Maps)
Figure. Location of the study area in the Czech Republic near Nové Losiny village (marked by star), delimitation of the studied meadows and placement of pan-traps transects within them. in Comparison of two methods for sampling orthopterans in grassland: differences in species representation and sex ratios
Figure. Location of the study area in the Czech Republic near Nové Losiny village (marked by star), delimitation of the studied meadows and placement of pan-traps transects within them.
Fig. 1. Location and vegetation types where small mammals were sampled between November 2012 and September 2013 in Small mammals from the lasting fragments of Araucaria Forest in southern Brazil: a study about richness and diversity
Fig. 1. Location and vegetation types where small mammals were sampled between November 2012 and September 2013, at Piraí do Sul National Forest, ParanÁ state, Brazil (A, Pine Plantation; B, Riparian Forest; C, Araucaria Plantation; D, Natural Regeneration forest; E, High Altitude forest). Original distribution of Atlantic Forest biome (light gray) and Araucaria forest (dark gray).
Рис. 1. Карта-схема заповеΑника «КомсомоΛьский». Точками обозначены места отбора проб Fig. 1. Map of the Komsomolsky Nature Reserve. Dots indicate sampling locations in Zoobenthos of the Komsomolsky Nature Reserve watercourses: Quantitative distribution
Рис. 1. Карта-схема заповеΑника «КомсомоΛьский». Точками обозначены места отбора проб Fig. 1. Map of the Komsomolsky Nature Reserve. Dots indicate sampling locations
Text-fig. 13. Scatter diagram of m1 length vs SDQ for pre-Eemian (time slice 5) Arvicola samples from different geographical provenances compared with M. savini-A. mosbachensis and Arvicola sapidus. Empty dotted ovals indicate the range of extant Arvicola ex gr. amphibius samples from Italy (cyan) and from the other European locations (green) Abbreviations: FR – France, GE – Germany, IT – Italy, SP – Spain. in Independent Water Vole (Mimomys Savini, Arvicola: Rodentia, Mammalia) Lineages In Italy And Central Europe
Text-fig. 13. Scatter diagram of m1 length vs SDQ for pre-Eemian (time slice 5) Arvicola samples from different geographical provenances compared with M. savini-A. mosbachensis and Arvicola sapidus. Empty dotted ovals indicate the range of extant Arvicola ex gr. amphibius samples from Italy (cyan) and from the other European locations (green) Abbreviations: FR – France, GE – Germany, IT – Italy, SP – Spain.
Text-fig. 11. Scatter diagram of m1 length vs SDQ for Würmian/Weichselian (time slice 3) Arvicola samples from different geographical provenances compared with M. savini-A. mosbachensis and extant Arvicola sapidus. Empty dotted ovals indicate the range of extant Arvicola ex gr. amphibius samples from Italy (cyan) and from the other European locations (green) Abbreviations: FR – France, GE – Germany, IT – Italy, SP – Spain. in Independent Water Vole (Mimomys Savini, Arvicola: Rodentia, Mammalia) Lineages In Italy And Central Europe
Text-fig. 11. Scatter diagram of m1 length vs SDQ for Würmian/Weichselian (time slice 3) Arvicola samples from different geographical provenances compared with M. savini-A. mosbachensis and extant Arvicola sapidus. Empty dotted ovals indicate the range of extant Arvicola ex gr. amphibius samples from Italy (cyan) and from the other European locations (green) Abbreviations: FR – France, GE – Germany, IT – Italy, SP – Spain.
Text-fig. 12. Scatter diagram of m1 length vs SDQ for Eemian (time slice 4) Arvicola samples from different geographical provenances compared with M. savini-A. mosbachensis and Arvicola sapidus. Empty dotted ovals indicate the range of extant Arvicola ex gr. amphibius samples from Italy (cyan) and from the other European locations (green) Abbreviations: FR – France, GE – Germany, IT – Italy, SP – Spain. in Independent Water Vole (Mimomys Savini, Arvicola: Rodentia, Mammalia) Lineages In Italy And Central Europe
Text-fig. 12. Scatter diagram of m1 length vs SDQ for Eemian (time slice 4) Arvicola samples from different geographical provenances compared with M. savini-A. mosbachensis and Arvicola sapidus. Empty dotted ovals indicate the range of extant Arvicola ex gr. amphibius samples from Italy (cyan) and from the other European locations (green) Abbreviations: FR – France, GE – Germany, IT – Italy, SP – Spain.
Text-fig. 1. Sampling areas in Çankırı province: the village of Sakarcaören near to the town of Orta (green circle) in the east of GVP, and the other sites (yellow circles), volcanic centers (red circles) and the border of GVP. The sites marked as yellow circles: ELM, Elmali village; SOG, Soguksu National Park; BUG, Bugralar village; INO, Inozu Valley South Side; INL, Inozu Valley North Side; KAR, Karasar village; MEN, Menceler Plateau; KIR, Kiraluc Site near Nuhhoca village; AGU, Asagiguney village; KUZ, Kuzca village (Bayam et al. 2018); PEL, Pelitcik village (Akkemik et al. 2009); GUD, Gudul (Akkemik et al. 2017); HOC, Hoçaş village and KOZ, Kozyaka village (Akkemik et al. 2016). The sites located in the western part (INO, INL, KAR, MEN, KIR, AGU, KUZ, HOC and KUZ) are from early – middle Burdigalian and Hancili Formation (Altun et al. 2002, Akbaş et al. 2002). The sites in the central part (GUD, BUG, ELM, PEL and SOG) are from middle – late Burdigalian, Pazar Formation (Kazancı 2012, Sen et al. 2017), and finally the fossil site in the east part of GVP is the late Miocene, Hüyükköy Formation (Sengüler 2007). in The First Glyptostroboxylon And Taxodioxylon Descriptions From The Late Miocene Of Turkey And Palaeoclimatological Evaluation
Text-fig. 1. Sampling areas in Çankırı province: the village of Sakarcaören near to the town of Orta (green circle) in the east of GVP, and the other sites (yellow circles), volcanic centers (red circles) and the border of GVP. The sites marked as yellow circles: ELM, Elmali village; SOG, Soguksu National Park; BUG, Bugralar village; INO, Inozu Valley South Side; INL, Inozu Valley North Side; KAR, Karasar village; MEN, Menceler Plateau; KIR, Kiraluc Site near Nuhhoca village; AGU, Asagiguney village; KUZ, Kuzca village (Bayam et al. 2018); PEL, Pelitcik village (Akkemik et al. 2009); GUD, Gudul (Akkemik et al. 2017); HOC, Hoçaş village and KOZ, Kozyaka village (Akkemik et al. 2016). The sites located in the western part (INO, INL, KAR, MEN, KIR, AGU, KUZ, HOC and KUZ) are from early – middle Burdigalian and Hancili Formation (Altun et al. 2002, Akbaş et al. 2002). The sites in the central part (GUD, BUG, ELM, PEL and SOG) are from middle – late Burdigalian, Pazar Formation (Kazancı 2012, Sen et al. 2017), and finally the fossil site in the east part of GVP is the late Miocene, Hüyükköy Formation (Sengüler 2007).
Text-fig. 1. Map of Germany with outline of North Rhine- Westphalia indicated; detailed map with sample locations (asterisks), motorways and major cities. in Everything Is A Question Of Time - Age Of Important Quaternary Palaeontological Finds From Westphalia
Text-fig. 1. Map of Germany with outline of North Rhine- Westphalia indicated; detailed map with sample locations (asterisks), motorways and major cities.
Fig. 1. Sample places location. Points number 1, 3, 7, 12, 14, 18 and 20 in Reproductive biology of Rhaphiodon vulpinus (Ostariophysi: Cynodontidae) in the Tocantins River Basin, Brazil
Fig. 1. Sample places location. Points number 1, 3, 7, 12, 14, 18 and 20 = Tocantins river; 2 = Sono river; 4 = Lajeadinho river; 5 = Santa Luzia river; 6 = Mangues river; 8 = Areias river; 9 = Crixás river; 10 = Capivara Lagoon; 11 = Manuel Alves river; 13 = São Valério river; 15 = Santa Tereza river; 16 = Dionízio Lagoon; 17 = Água Branca Lagoon; 19 = Paranã river and 21 = Bonita Lagoon.
Sample locations of building types in Osaka-Kobe City-region
<p>Geopackage containing 100 sample locations for 12 different building types within the Osaka-Kobe City-region (total of 1200 samples for 2013-14). Data related to the following journal paper "<strong>Shrinkage and Morphological Change: A Study of Building Type Evolution in the Osaka-Kobe City-region in Japan</strong>"</p>
Fig. 2. Sampling locations, 2011–2020 in Notes on the Occurrence of Tintinnid Ciliates, and the Nasselarian Radiolarian Amphimelissa setosa of the Marine Microzooplankton, in the Chukchi Sea (Arctic Ocean) Sampled each August from 2011 to 2020
Fig. 2. Sampling locations, 2011–2020 in Chukchi Sea. See supplementary file for details of station locations and sampling dates. Colored zones indicate water column depth.
Spatial patterns of understory vegetation and soil in an Alaskan upland boreal forest fire chronosequence. Three sites located in Delta Junction Alaska. Soil sampled during summer 2007
In this study we used geostatistics to characterize the spatial heterogeneity of soil carbon and nitrogen pools, microbial respiration, microbial biomass, nitrogen mineralization, soil moisture, soil pH, depth of organic horizon and forest floor covers and understory vegetation abundances in three sites (1999, 1987 and 1920 wildfires) of a boreal forest chronosequence of Interior Alaska (near Delta Junction). Soil sampling and vegetation measurements occured during summer 2007.
Patch occupancy sampling of invertebrates and salamanders from Coweeta Synoptic sampling sites located in the Upper Little Tennessee River Basin, 2009 to 2012.
This research was conducted in Macon County, North Carolina, as part of the Coweeta LTER synoptic sampling program. In the summers of 2009-2012 we sampled and counted Tallaperla species, Elimia species, fish, and salamanders found in a 150meter stretch at the synoptic sites, a total of 44 sites. The 150meter stretch was divided into thirty 5meter plots that were sampled on three occasions each year of sampling; in 2009 all 44 sites were sample, in 2010 a subset of 8 sites were sampled, in 2011 a subset of 9 sites were sampled, and in 2012 a subset of 8 sites were sampled.
GIS vector data for sample locations and plots associated with the Hillslope Study in Macon County, NC
The Hillslope Study sites represent a gradient of landscapes, including forested, valley agriculture, and mountain housing developments. These locations and plots were used to collect samples of various matrices for numerous analyses at differing intervals. The data set consists of Open Office spreadsheet and other files that document all the Hillslope Study locations.
PIE LTER location and sample dates for sites used in space for time sea level rise study, Rowley, MA.
This dataset contains the GPS-ed locations of the quadrats used for the 2017-2018 Space for Time substitution experiment in tidal creek marshes off the Rowley River and Plum Island Sound in Rowley Massachusetts. The space for time study uses an intensive and comprehensive approach to compare low elevation, Spartina alterniflora marsh areas to higher elevation Spartina patens marsh areas. Other related data files include: HTL-RO-ST-MAR-Biomass, HTL-RO-ST-MAR-Birds, HTL-RO-ST-MAR-Quads, HTL-RO-ST-MAR-Sediments, HTL-RO-ST-MAR-Bites, HTL-RO-ST-MAR-Sticky, HTL-RO-ST-MAR-Decomp, HTL-RO-ST-MAR-Traps, HTL-RO-ST-MAR-Deep_pitfalls
PIE LTER, Year 2017-2018, locations, date, sediment concentration and spectral reflectance measurement methods of 40 water samples at Plum Island Sound and deep ocean, Massachusetts.
PIE LTER, Year 2017-2018, locations, date, sediment concentration and spectral reflectance measurement methods of 40 water samples at Plum Island Sound and deep ocean, Massachusetts
Effects of sampling seasons and locations on fish environmental DNA metabarcoding in dam reservoirs
<p>Environmental DNA (eDNA) analysis has seen rapid development in the last decade, as a novel biodiversity monitoring method. Previous studies have evaluated optimal strategies, at several experimental steps of eDNA metabarcoding, for the simultaneous detection of fish species. However, optimal sampling strategies, especially the season and the location of water sampling, have not been evaluated thoroughly. To identify optimal sampling seasons and locations, we performed sampling monthly or at two-monthly intervals throughout the year in three dam reservoirs. Water samples were collected from 15 and 9 locations in the Miharu and Okawa dam reservoirs in Fukushima Prefecture, respectively, and 5 locations in the Sugo dam reservoir in Hyogo Prefecture, Japan. One liter of water was filtered with glass-fiber filters and eDNA was extracted. By performing MiFish metabarcoding, we successfully detected a total of 21, 24, and 22 fish species in Miharu, Okawa, and Sugo reservoirs, respectively. From these results, the eDNA metabarcoding method had a similar level of performance compared to conventional long-term data. Furthermore, it was found to be effective in evaluating entire fish communities. The number of species detected by eDNA survey peaked in May in Miharu and Okawa reservoirs, and in March and June in Sugo reservoir, which corresponds with the breeding seasons of many of fish species inhabiting the reservoirs. In addition, the number of detected species was significantly higher in shore, compared to offshore samples in the Miharu reservoir, and a similar tendency was found in the other two reservoirs. Based on these results, we can conclude that the efficiency of species detection by eDNA metabarcoding could be maximized by collecting water from shore locations during the breeding seasons of the inhabiting fish. These results will contribute in the determination of sampling seasons and locations for fish fauna survey via eDNA metabarcoding, in the future.</p>
Data from: Demographic and ecogeographic factors limit wild grapevine spread at the southern edge of its distribution range - wild grapevine sampling locations, Maxent input files, morphological and microsatellite data
<p><span>This dataset contains raw data described in the paper: "Rahimi O., Ohana-Levi N., Brauner H., Inbar N., Hübner S. and Drori E. (2021) "Demographic and ecogeographic factors limit wild grapevine spread at the southern edge of its distribution range", accepted for publication in "Ecology and Evolution".</span></p> <p><span>The spatial distribution of plants is constrained by demographic and eco-geographic factors that determine the range and abundance of the species. In this study, we performed genetic and morphological analyzes based on SSR and OIV datasets. In addition, according to the spatial distribution model performed by Maxent software we found that distance to water sources, Normalized difference vegetation index, and precipitation are the main environmental factors constraining <i>V.v. sylvestris</i> distribution at its southern distribution range. All raw data used for this study can be found in this deposit which contains a table with grapevine locations, Maxent input files, morphological and microsatellite data. </span></p>
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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.