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148 results for “Sample locations”
Virginia Coast Reserve site, station Randomly selected, destructively sampled, non-treated plots at Frank Day Well Location R4, Hog Island, study of plant biomass in units of gramsPerSquareMeter on a yearly timescale
The EcoTrends project was established in 2004 by Dr. Debra Peters (Jornada Basin LTER, USDA-ARS Jornada Experimental Range) and Dr. Ariel Lugo (Luquillo LTER, USDA-FS Luquillo Experimental Forest) to support the collection and analysis of long-term ecological datasets. The project is a large synthesis effort focused on improving the accessibility and use of long-term data. At present, there are ~50 state and federally funded research sites that are participating and contributing to the EcoTrends project, including all 26 Long-Term Ecological Research (LTER) sites and sites funded by the USDA Agriculture Research Service (ARS), USDA Forest Service, US Department of Energy, US Geological Survey (USGS) and numerous universities. Data from the EcoTrends project are available through an exploratory web portal (http://www.ecotrends.info). This web portal enables the continuation of data compilation and accessibility by users through an interactive web application. Ongoing data compilation is updated through both manual and automatic processing as part of the LTER Provenance Aware Synthesis Tracking Architecture (PASTA). The web portal is a collaboration between the Jornada LTER and the LTER Network Office. The following dataset from Virginia Coast Reserve (VCR) contains plant biomass measurements in gramsPerSquareMeter units and were aggregated to a yearly timescale.
GIS Shapefile - Soil, Sampling locations, Baltimore City
Soil_Samples_BACI Available only by request on a case by case basis. Contact rthe author, David Nowak, at dnowak@fs.fed.us Tags Biophysical Resources, Land, Social Institutions, Health, BES, Soil, Lead, Sample, UFORE Summary Samples were taken to relate soil data to vegetation data obtained for the Urban Forestry Effects Model (UFORE). Description The data is soil concentrations and characteristics of the following: land use, bulk density, sand, silt, clay, pH, organic matter, nitrogen, Al, P, S, Ti, Cr, Mn, Fe, Co, Ni, Cu Zn, Mo, Pb, Cd, Na, Mg, K, Ca, and V. Soils were sampled in 125 plots located within the City of Baltimore in the summer of 2000. The plots were randomly stratified by Anderson Land Cover Classification System Level II, which included commercial, industrial, institutional, transportation right-of-ways, high and medium density residential (there were no low density residential areas identified within the city boundaries), golf course, park, urban open, forest, and wetland land-use types. The number of plots situated in each land-use type was weighted to their proportion of spatial area within the City. The resultant number of plots sampled for soil by land-use type was: commercial (n = 2); industrial (n = 3); institutional (n = 10); transportation right-of-ways (n = 7); high density residential (n = 19); medium density residential (n = 33); golf course (n = 3); riparian (n=2); park (n = 10); urban open (n = 10); and forest (n = 26) land-use types, respectively. The distribution of plots represents the proportion of area covered by impervious surfaces. Credits Rich Pouyat, USDA Forest Service Use limitations Not for profit use only Extent West -76.711030 East -76.530612 North 39.371355 South 39.200686 Scale Range There is no scale range for this item. The data is soil concentrations and characteristics of the following: land use, bulk density, sand, silt, clay, pH, organic matter, nitrogen, Al, P, S, Ti, Cr, Mn, Fe, Co, Ni, Cu Zn, Mo, Pb, Cd, Na, Mg
FIGURE 1. Sampling locations. A in Hexactinellida (Porifera) from the Drake Passage (Southern Ocean) with a description of three new species
FIGURE 1. Sampling locations. A, Sars Seamount, B Shackleton Fracture Zone. Inset: box indicates the area shown in larger figure.
FIGURE 2. Twenty-two sampling locations for 138 in Re-evaluation of the taxonomic status of four nominal, western Pacific species of tongue soles (Pleuronectoidei: Cynoglossidae: Cynoglossus), with redescription of C. joyneri Günther, 1878
FIGURE 2. Twenty-two sampling locations for 138 specimens of tongue soles examined in this study.Abbreviations for locations are: NJ: Niphon; SJ: Shizuoka; KJ: Kochi; QH: Qinhuangdao; YT: Yantai; QD: Qingdao; RZ: Rizhao; LY: Lianyungang; LS: Lvsi; SH: Shanghai; ZS: Zhoushan; WL: Wenling; WZ: Wenzhou; FZ: Fuzhou; MW: Mawei; XM: Xiamen; DS: Dongshandao; SW: Shanwei; SZ: Shenzhen; ZH: Zhuhai; JM: Jiangmen; BM: Baimajing.
Faecal samples analysed per bat species for each location, season and habitat type in northern Madagascar
<p>This table is part of the PhD thesis of Carme Tuneu-Corral, entitled '<strong>Bats and rice: promoting Integrated Pest Management to enhance biodiversity conservation</strong>'. It is the <strong><em>Table A4.1 </em></strong>of the supplementary material of the Chapter 5 '<em>Beyond borders: evaluating the role of protected areas in promoting bat-mediated pest suppression in rural areas of northern Madagascar</em>', and compiles the information on the number of samples analysed per bat species for each location, season and habitat type. Buildings were all located in rural villages outside protected areas, and caves and forest were all located inside protected areas.</p> <p>Methodology: </p> <p>Due to the subtropical climate of this country, we sampled bats in two periods representing the two main seasons for both Amber Mountain and Ankarana. Dry and wet season vary slightly in timing and extent, and we adjusted the field periods to cover the end of the dry season (October – November 2022), and the end of the wet season (May 2023, as in April one of the protected areas was inaccessible due to the poor state of the road caused by heavy rains). French Mountain was visited only in the dry season (October – November 2022) due to logistic limitations. We used mist-nets and harp traps to sample insectivorous bats in protected areas and rural villages. Bat captures were conducted for 7-10 consecutive nights in each protected area, changing sampling points daily to cover a wider area. We sampled bats in a total of six caves and four forest points in Ankarana; six caves and two forest points in French Mountain; and 10 forest points in Amber Mountain (there are no known caves in this protected area). Three school buildings were visited at 16 km from Ankarana borders, two public buildings at 3 km from Amber Mountain borders, and two school buildings at 1 km from French Mountain borders. When sampling forest habitats, mist-nets and harp traps were installed 30 minutes before sunset and remained open for at least four hours. When sampling bats at roost entrances (caves inside protected areas and buildings in rural villages), bats were captured before sunrise when returning to the colony after feeding. In these cases, we used mist-nets and harp traps set up four hours before dawn, which remained in place until 30 minutes after sunrise.</p> <p>All insectivorous bats captured were measured, weighed and identified using different bibliographic references. Bat captures and handling were conducted following guidelines approved by the American Society of Mammalogists (Sikes and Gannon, 2011). Bats were kept in clean cloth bags until they defecated, generally for a maximum of one hour. In case the bat individuals had not defecated within that time interval, they were released after being measured, weighted and identified. Faecal pellets of each individual were immediately collected and stored in 2 ml tubes with 95% ethanol and labelled accordingly. All bats were released at the same site where they were captured. We gathered a total of 500 samples to assess bat diet: 250 samples collected in the dry season and 250 samples in the wet season. The number of samples collected per species varied according to their rate of capture at the different sampling points.</p> <p>We were able to trap 15 different insectivorous bat species, 11 Madagascar endemics, and four regional endemics also occurring on nearby islands. Twelve bat species were captured exclusively inside the protected areas and those considered largely forest dependent are highlighted in bold (C<em>haerephon jobimena, Laephotis matroka, Macronycteris commersoni, Miniopterus aelleni, M. ambohitrensis, M. gleni, M. griveaudi, Myotis goudoti, Otomops madagascariensis, <strong>Paratriaenops auritus, Paremballonura tiavato</strong>, Triaenops menamena</em>), and two were captured exclusively outside the protected areas (<em>Chaerephon leucogaster, Mops leucostigma</em>). <em>Mormopterus jugularis</em> was the only species found roosting both in caves and buildings, although it was primarily captured in natural roosts in this study. We collected faecal samples for all these species, obtaining operational genetic material (i.e. OTUs representing more than 1% of the total dietary reads of each sample) from 454 of the 500 faecal samples analysed (Table A4.1). </p>
Fig. 1 Sampling locations. A in Does size matter? Comparative population genetics of two butterflies with different wingspans
Fig. 1 Sampling locations. A map of the Western Ghats showing sampling locations for both species. Inset: map of India showing the location of the Western Ghats in blue
Names, locations, sampling dates, physical characteristics, water chemistry, and plankton data in samples collected in Canadian Prairie lakes in July and August, 2023
<p>PPR Sample Lake Data.xlsx contains names, locations, sampling dates, physical characteristics, water chemistry, and plankton data in samples collected in Canadian Prairie lakes in July and August, 2023. PPR Sample Lake Fact Sheets.pdf contains fact sheets for every sampled lake including maps and essential lake, catchment, and water chemistry characteristics. </p>
FIGURE 1. Sampling locations visited during oceanographic cruises Talud IV in On some deep-sea Stenheliinae from the Gulf of California and the west coast of the Baja California Peninsula (Mexico): the genus Delavalia Brady, 1869 and proposal of Archaeohuysia gen. nov. and Diarthropodella gen. nov. (Copepoda Harpacticoida: Miraciidae)
FIGURE 1. Sampling locations visited during oceanographic cruises Talud IV (circles), Talud X (stars), Talud XV (squares) and Talud XVIB (triangles). Full figures represent positive collection of Delavalia profunda sp. nov. (Stn 24 —Talud XV), Delavalia californiensis sp. nov. (Stn 20 —Talud XV), Delavalia asetosa sp. nov. (Stn 19 —Talud IV), Delavalia reducta sp. nov. (Stn 25 —Talud XVIB), Archaeohuysia huysi gen. et sp. nov. (Stn 21 —Talud XVIB), Diarthropodella prima gen. et sp. nov. (Stn 15 —Talud X—, and Stn 19 —Talud IV), and Diarthropodella secunda sp. nov. (Stn 18 —Talud X). Insert shows location of stations 15, 18 and 19 visited during Talud X cruise.
FIGURE 1. Sampling locations visited during oceanographic cruises Talud IV in On some deep-sea Stenheliinae from the Gulf of California and the west coast of the Baja California Peninsula (Mexico): Wellstenhelia euterpoides sp. nov., and Wellstenvalia wellsi gen. et sp. nov. (Copepoda: Harpacticoida: Miraciidae)
FIGURE 1. Sampling locations visited during oceanographic cruises Talud IV (circles), Talud X (stars), Talud XV (squares) and Talud XVIB (triangles). Full figures represent positive collection of Wellstenhelia euterpoides sp. nov. (Stn 22—Talud X—, and Stn 20 and 24—Talud cruise XV) and Wellstenvalia wellsi sp. nov. (Stn 15 and 17—Talud X—, and Stn 5D and 24—Talud XV—, and Stn 21—Talud XVIB).
FIGURE 1. Sampling locations visited during oceanographic cruises Talud IV in On some deep-sea Stenheliinae from the Gulf of California and the west coast of the Baja California Peninsula (Mexico): Pseudostenhelia bathyalis sp. nov., and Beatricella calidafornax sp. nov. (Copepoda: Harpacticoida: Miraciidae)
FIGURE 1. Sampling locations visited during oceanographic cruises Talud IV (circles), Talud X (stars), Talud XV (squares) and Talud XVIB (triangles). Solid figures represent positive collection of Pseudostenhelia bathyalis sp. nov. (triangle) and Beatricella calidafornax sp. nov. (star).
FIGURES – 7. SEM images of Craspedostauros laevissimus from different populations. 42. Close up of the central area externally, showing the weakly expanded central raphe endings and the cribrate areolae with usually four to five peripheral pores and up to one central pore (sample 13). 43. Close up of the central area internally, showing the narrow stauros located in a wider hyaline area, the central raphe endings with double helictoglossa, and the rounded to rectangular areolar openings internally (sample 13). 44. Close up of the apex, showing the bent distal raphe endings, cribrate areoale with up to six peripheral pores and up to two central pores (sample 13). 45. Close ups of both the valve exterior and interior (sample 11), showing the weakly expanded central raphe endings externally; the areolae near the raphe with usually four to five peripheral pores and one central pore; the central raphe endings with double helictoglossa and the rounded areolar openings internally. 46. Internal valve view, showing the narrow transverse rib of silica at the valve center (strauros) and the central raphe endings with double helictoglossa (sample 11). 47. Close up of the apex of the same valve internally, showing the rounded to square or rectangular areolar openings (sample 11). Scale bars = 5 μm (Fig. 46); 1 μm (Figs 42–45,47). in The genus Craspedostauros E.J.Cox (Bacillariophyta) on the coasts of Livingston Island, Maritime Antarctica
FIGURES – 7. SEM images of Craspedostauros laevissimus from different populations. 42. Close up of the central area externally, showing the weakly expanded central raphe endings and the cribrate areolae with usually four to five peripheral pores and up to one central pore (sample 13). 43. Close up of the central area internally, showing the narrow stauros located in a wider hyaline area, the central raphe endings with double helictoglossa, and the rounded to rectangular areolar openings internally (sample 13). 44. Close up of the apex, showing the bent distal raphe endings, cribrate areoale with up to six peripheral pores and up to two central pores (sample 13). 45. Close ups of both the valve exterior and interior (sample 11), showing the weakly expanded central raphe endings externally; the areolae near the raphe with usually four to five peripheral pores and one central pore; the central raphe endings with double helictoglossa and the rounded areolar openings internally. 46. Internal valve view, showing the narrow transverse rib of silica at the valve center (strauros) and the central raphe endings with double helictoglossa (sample 11). 47. Close up of the apex of the same valve internally, showing the rounded to square or rectangular areolar openings (sample 11). Scale bars = 5 μm (Fig. 46); 1 μm (Figs 42–45,47).
FIGURE. Map of the region and sampling area showing the relative position of Livingston Island to Antarctic Peninsula (A), and the main sampling locations (B): 1—Hannah Point, 2—Mongolian (Reserve) Port, 3—Caleta Argentina. Map outlines are based on OpenStreetMap© contributors (www.openstreetmap.org), edited and arranged using Adobe Illustrator© and Adobe Photoshop®. Scale bars = 35 km (A); 2 km (B). in The genus Craspedostauros E.J.Cox (Bacillariophyta) on the coasts of Livingston Island, Maritime Antarctica
FIGURE. Map of the region and sampling area showing the relative position of Livingston Island to Antarctic Peninsula (A), and the main sampling locations (B): 1—Hannah Point, 2—Mongolian (Reserve) Port, 3—Caleta Argentina. Map outlines are based on OpenStreetMap© contributors (www.openstreetmap.org), edited and arranged using Adobe Illustrator© and Adobe Photoshop®. Scale bars = 35 km (A); 2 km (B).
Supplementary material 1 from: Clasen LA, Detheridge AP, Scullion J, Griffith GW (2020) Soil stabilisation for DNA metabarcoding of plants and fungi. Implications for sampling at remote locations or via third-parties. Metabarcoding and Metagenomics 4: e58365. https://doi.org/10.3897/mbmg.4.58365
Combined Supplemntary Data Files 1–8
High-quality video records from forest sample plots located in Artvin, NE Turkey
<p>Natural forest plots were scanned using a handheld mobile laser scanning device, GeoSLAM ZEB-HORIZON, in Artvin (Northeastern Turkey). The videos uploaded here were recorded by the device's add-on camera, ZEB Cam. The visual interpretation of the 4K videos may be useful for understanding different stand characteristics.</p> <p>In this project, a total of 39 plots were modeled based on 3D point cloud data collected by ZEB-HORIZON. Their stand variables (the number of trees, mean diameter, dominant height, basal area, and stand volume) were calculated successfully. </p>
Supplementary data(Jiacha County area) (including Liegang landslide boundary,Yarlung Tsangpo faults locations, and 14C and 10Be sampling locations) (V1)
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Core SAFE Sampling locations
<b>Description: </b><p>This zipfile contains a shapefile showing point locations of the core sampling points used across the SAFE landscape. Many other locations have been sampled, but this file contains the points originally identified to provide a fractal sampling design across the landscape degradation gradient. <br><br>Further details of the dataset and processing can be found at <a href="https://www.safeproject.net/dokuwiki/safe_gis/safe_fractal">https://www.safeproject.net/dokuwiki/safe_gis/safe_fractal</a> and for details of the project design, see the project description: <a href="https://doi.org/10.1098/rstb.2011.0049">https://doi.org/10.1098/rstb.2011.0049</a>.</p><p><b>Project: </b>This dataset was collected as part of the following SAFE research project: <a href="https://www.safeproject.net/projects/project_view/1"><b>SAFE CORE DATA</b></a></p><p><b>XML metadata: </b>GEMINI compliant metadata for this dataset is available <a href="https://www.safeproject.net/datasets/xml_metadata?id=3492153">here</a></p><p><b>Files: </b>This dataset consists of 2 files: SAFE_Core_sampling_locations.xlsx, SAFE_core_sampling_stations_UTM50N_WGS84.zip</p><p><b>SAFE_Core_sampling_locations.xlsx</b></p><p>This file only contains metadata for the files below</p><p><b>SAFE_core_sampling_stations_UTM50N_WGS84.zip</b></p><p>Description: Contains a point shapefile of core SAFE sampling stations</p><p>This file contains 1 data tables:</p><ol><li><p></p><p><b>Feature properties</b> (described in worksheet SAFE_core_sampling_stations)</p><p>Description: Field descriptions for shapefile properties</p><p>Number of fields: 12</p><p>Number of data rows: Unavailable (table metadata description only).</p><p>Fields: </p><ul><li><b>GPS_Ident</b>: GPS handset identity of point (Field type: id)</li><li><b>Altitude</b>: GPS estimated altitude (all NA) (Field type: numeric)</li><li><b>Date</b>: GPS timestamp (all NA) (Field type: date)</li><li><b>Time</b>: GPS timestamp (all NA) (Field type: time)</li><li><b>Project</b>: Project name for sample point (Field type: categorical)</li><li><b>Site</b>: Site name of sampling point (Field type: categorical)</li><li><b>Station</b>: Sampling station ID number (Field type: id)</li><li><b>Habitat_11</b>: Habitat type in 2011 (Field type: categorical)</li><li><b>Logging_11</b>: Logging impact in 2011 (Field type: categorical)</li><li><b>Frag_Area</b>: Forest fragment area (0 = control or oil palm point not in fragment, -1 = urban) (Field type: numeric)</li><li><b>Fract_Ord</b>: Fractal order of the sampling point (Field type: numeric)</li><li><b>TransctOrd</b>: Position of point on transects (Field type: numeric)</li></ul><p></p></li></ol><p><b>Date range: </b>2010-10-01 to 2019-10-01</p><p><b>Latitudinal extent: </b>4.6350 to 4.7716</p><p><b>Longitudinal extent: </b>116.9474 to 117.7031</p>
Fig. 1 Sampling sites and locations where L in First record of North Italian roach, Leucos aula (Bonaparte, 1841) on the Pag Island, Croatia-relict of the last glacial maximum?
Fig. 1 Sampling sites and locations where L. aula populations were recorded in Croatia
Vectorized logs, bed numbers, sample locations, biostratigraphy and astrochronology of the Barranco Cavila, Arroyo Gilico, Rio Argos, La Charce-Pommerol, Vergol-Morénas, Angles and Reynier sections
<p>This is a vectorized figure showing the astrochronology, bed number, detailed sample locations and correlations of sections from the Subbetic Domain (SE Spain) and Vocontian Basin (SE France), measured from the latest Berriasian to the earliest Aptian.</p> <p>The sections shown are:</p> <ul> <li>Barranco Cavila: 38°3′10” ; N 1°53′20” W</li> <li>Arroyo Gilico: 38°9′35” N ; 1°40′41” W</li> <li>Río Argos: 38°04’15” N ; 1°56’58” E</li> <li>La Charce: 44°28‘12“ N ; 5°26‘23“ E</li> <li>Pommerol: 44°26‘18“ N ; 5°27‘33“ E</li> <li>Angles: 43°56‘15“N ; 6°32‘02“ E</li> <li>Morénas: 44°13‘52“ N ; 5°25‘21“ E</li> <li>Vergol: 44°12‘11“N ; 5°25‘04“E</li> <li>Reynier: 44°17‘58“ N ; 6°07‘02“ E</li> </ul>
Assessment of BHB Concentration Agreement Among Sampling Locations and the Impact of Ketosis on EPO, and More
ClinicalTrials.gov study NCT06053138. IPD Sharing: NO. Countries: 1. Publications: 0.
Sampling locations for a rapid biological inventory of the Acarai-Corentyne Corridor of southern Guyana
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