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64 results for “site characteristics”
Physical site characteristics for the ARCSS/TK stream dissolved organic carbon biodegradability (2011) data set.
The (ARCSSTK) did extensive research during 2009-2011 field seasons in Arctic Alaska. The objective of this data set was to measure the quantity and biodegradability of DOC from headwater streams and rivers across three geographic regions and across four natural ‘treatments’ (reference; thermokarst-; burned-, and thermokarst + burned-impacted streams) to evaluate which factors most strongly influence DOC quantity and biodegradablity at a watershed scale. This table provides physical site characteristics for the locations sampled for stream water biodegradability.
Soil characteristics and nutrient pools and fluxes for Murphy Dome study site
This file contains soil pH, nutrient concentrations (including carbon and nitrogen and exchangeable base cations for soil organic layers and 0-10cm mineral soils) and flux rates (potential carbon and net nitrogen mineralization, nitrification) for black spruce and Alaska paper birch forest in the Murphy Dome fire scar near Fairbanks, AK. All information was collected in summer 2012 and subsequently processed and analyzed in the laboratory.
Interior Alaska managed sites: soil organic layer and mineral soil nutrient concentrations and additional characteristics measured one time in either summer 2012 or 2013
This dataset contains soil organic layer and mineral soil depth, C and N concentrations, and other soil characteristics collected at all managed and adjacent unmanaged study sites.
Tree characteristics of 84 aspen that were alive and 76 that were dead when sampled in 2016 from 22 plots (8 sites) that are a part of the Cooperative Alaska Forest Inventory (CAFI)
This dataset contains diameter at breast height (DBH) in 2016 and 1997, canopy position in 2016, last year of full growth, year of death, year established, age at last year of full growth, and age at year of death of 84 aspen that were alive and 76 that were dead in 2016 from 22 plots (8 sites) that are a part of the Cooperative Alaska Forest Inventory (CAFI).
Data from: On-site floral resources and surrounding landscape characteristics impact pollinator biodiversity at solar parks
<p>There is increasing land use change for solar parks and growing recognition that they could be used to support insect pollinators. However, understanding of pollinator response to solar park developments is limited and empirical data are lacking.</p> <p>We combine field observations with landcover data to quantify the impact of on-site floral resources and surrounding landscape characteristics on solar park pollinator abundance and species richness. We surveyed pollinators and flowering plants at 15 solar parks across England in 2021, used a landcover map to assess the surrounding high-quality habitat and aerial imagery to measure woody linear features (hedgerows, woodland edges and lines of trees).</p> <p>In total, 1,397 pollinators were recorded, including 899 butterflies (64%), 171 hoverflies (12%), 161 bumble bees (12%), 157 moths (11%) and nine honeybees (< 1%). At least 30 pollinator species were observed, the majority of which were common, generalist species.</p> <p>Pollinator biodiversity varied between solar parks and was explained by a combination of on-site floral resources and surrounding landscape characteristics. Floral species richness was the most influential on-site characteristic and woody linear feature density generally had a greater impact than the cover of surrounding high-quality habitats, although drivers differed by pollinator group.</p> <p>Our findings suggest that a range of factors affect pollinator biodiversity at solar parks, but maximising floral resources within a park through appropriate management actions may be the most achievable way to support most pollinator groups, especially where solar parks are located in resource-poor, disconnected landscapes.</p>
Figure 2 in The nest-site characteristics of the forest population of common blackbird (Turdus merula) in Eskişehir, Turkey
Figure 2. The dispersion of Nh, TW, and Nx ratios on a 3-dimensional (x–y–z) plane.
Figure 1 in The nest-site characteristics of the forest population of common blackbird (Turdus merula) in Eskişehir, Turkey
Figure 1. Nest-site characteristics diagram.
Dataset (raw questionnaire data and variable importance results) supplementing the publication "Does Gender Really Matter? How Demographics and Site Characteristics Influence Behavior and Attitudes of German Small-Scale Private Forest Owners"
<p>The dataset contains</p> <ul> <li>a translation of the questionnaire,</li> <li>the questionnaire raw data, and</li> <li>the results of the variable importance analysis</li> </ul> <p>used in the publication "Does Gender Really Matter? How Demographics and Site Characteristics Influence Behavior and Attitudes of Small-Scale Private Forest Owners".</p>
Larval site characteristics of mosquito Aedes aegypti in La Lope, Gabon
<p>This dataset is described and analyzed in the paper: "Xia, S., Dweck, H. K. M., Lutomiah, J., Sang, R., McBride, C. S., Rose, N. H., Ayala, D., & Powell, J. R. (2021). Larval sites of the mosquito <em>Aedes aegypti formosus</em> in forest and domestic habitats in Africa and the potential association with oviposition evolution. Ecology and Evolution, 00, 1– 17. https://doi.org/10.1002/ece3.8332"</p> <p>The mosquito <em>Ae. aegypti</em> is a major vector of several arboviral diseases. In Africa, <em>Ae. aegypti</em> can be found in both ancestral forest habitats and human-made domestic habitats, such as villages. They also use different types of containers as larval sites: while the forest <em>Ae. aegypti </em>use tree holes and rock pools, the domestic population rely mostly on artificial contains such as plastic buckets. As an initial attempt to better understand <em>Ae. aegypti</em> larval ecology and evolution in different habitat, we characterized the microenvironment of their larval sites in both habitats and compare between them. We focuses on two localities in Africa: La Lope in Gabon, and Rabai in Kenya. The current dataset contains data from La Lope and the Rabai data can be found in a different dataset (DOI:10.5061/dryad.3tx95x6cz). In this dataset, we characterized 38 <em>Ae. aegypti</em> larval site from the La Lope village and 60 larval site from the La Lope forest. Specifically, the first ten column of the dataset provides basic information of each larval site, such as sampling location, date and habitat etc. The data also includes the measures of 11 physical variables of each larva site. These variables describe the size of the container, ambient environment such as temperature and humidity, and water pH and conductivity. Lastly, the dataset has the number of <em>Ae. aegypti</em> and other mosquito species found in each larval site, as well as measures of microbial density. Using this dataset, we found that forest and village larval sites have different microenvironments. The detailed analysis and discussion can be found in the paper.</p> <p>We hope this dataset could provide useful basic ecological information on <em>Ae. aegypti</em> larval habitat in Africa. We encourage future studies to explore this dataset and generate more hypothesis on <em>Ae. aegypti</em> ecology and evolution. </p>
Larval site characteristics of mosquito Aedes aegypti in Rabai, Kenya
<p>This dataset is described and analyzed in the paper: "Xia, S., Dweck, H. K. M., Lutomiah, J., Sang, R., McBride, C. S., Rose, N. H., Ayala, D., & Powell, J. R. (2021). Larval sites of the mosquito <em>Aedes aegypti formosus</em> in forest and domestic habitats in Africa and the potential association with oviposition evolution. Ecology and Evolution, 00, 1– 17. https://doi.org/10.1002/ece3.8332"</p> <p>The mosquito <em>Ae. aegypti</em> is a major vector of several arboviral diseases. In Africa, <em>Ae. aegypti</em> can be found in both ancestral forest habitats and human-made domestic habitats, such as villages. They also use different types of containers as larval sites: while the forest <em>Ae. aegypti </em>use tree holes and rock pools, the domestic populations rely mostly on artificial contains such as plastic buckets. As an initial attempt to better understand <em>Ae. aegypti</em> larval ecology and evolution in different habitats, we characterized the microenvironment of their larval sites in both habitats and compare them. We focus on two localities in Africa: La Lope in Gabon, and Rabai in Kenya. The current dataset contains data from Rabai and the La Lope data can be found in a different dataset (DOI:10.5061/dryad.7m0cfxprg). In this dataset, we characterized 31 <em>Ae. aegypti</em> larval site from four Rabai villages and 37 larval sites from the Rabai forest. Specifically, the first ten columns of the dataset provide basic information of each larval site, such as sampling location, date, and habitat, etc. The data also includes the measures of 16 physical variables of each larva site. These variables describe the size of the container, ambient environment such as temperature and humidity, and water pH and conductivity, etc. Lastly, the dataset has the number of <em>Ae. aegypti</em> and other mosquito species found in each larval site, as well as measures of microbial density. In addition, we also examined the chemical composition of volatiles from a subset of 42 larval sites. Using GC-MS, we identified chemical compounds in each larval site. Using these datasets, we found that forest and village larval sites have different microenvironments. The detailed analysis and discussion can be found in the paper. We hope this dataset could provide useful basic ecological information on <em>Ae. aegypti</em> larval habitat in Africa. We encourage future studies to explore this dataset and generate more hypotheses on <em>Ae. aegypti</em> ecology and evolution. </p>
Fig. 1 in Assessing the distribution, roosting site characteristics, and population of Pteropus lylei in Thailand
Fig. 1. Study area and location of Pteropus lylei roosts in Thailand.
Larval site characteristics of mosquito Aedes aegypti in Rabai, Kenya
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Scripts from: Remotely sensed microhabitat characteristics associated with Haematopus palliatus (American Oystercatcher) nest-site selection can inform beach habitat restoration along the U.S. Atlantic Coast
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Larval site characteristics of mosquito Aedes aegypti in La Lope, Gabon
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Site characteristics: Soil moisture summary for 376 SNOTEL station locations
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Data from: On-site floral resources and surrounding landscape characteristics impact pollinator biodiversity at solar parks
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Survey 200 long term study of multiple sites in central Arizona-Phoenix: neighborhood characteristics
The Ecological Survey of Central Arizona (ESCA) is an extensive field survey and integrated inventory designed to capture key ecological indicators of the CAP LTER study area consisting of the urbanized, suburbanized, and agricultural areas of metropolitan Phoenix, and the surrounding Sonoran desert. The survey is conducted every five years at approximately 200 sample plots (30m x 30m) that were located randomly using a tessellation-stratified dual-density sampling design. Study plots cover habitats throughout the CAP LTER study area ranging from native Sonoran desert sites to residential yards to an airport tarmac. Measurements include an inventory of all plants (identified to the lowest possible taxonomic unit, typically species), plant biovolume, soil coring for physicochemical properties, arthropod sweep-net sampling, photo documentation, and a visual survey of site and area characteristics. The objectives of the survey are to (1) characterize patches in terms of key biotic, physical, and chemical variables, and (2) examine relationships among land use, general plant diversity, native plant diversity, plant biovolume, soil nutrient status, and social-economic indices along an indirect urban gradient. Survey 200 was the original name of the project, and it was renamed to ESCA following the survey conducted in 2015. The data set here includes a subset of information from the Survey200/ESCA focusing exclusively on neighborhood characteristics around the survey plots. Investigators interested in more recent survey data, or other variables measured as part of ESCA should search the data catalog for 'ecological survey of central arizona' or 'survey 200'.
Feeding sites characteristics of the Northern shoveler Spatula clypeata in prenuptial stopover
<p><span>Dabbling ducks choose a multitude of habitats throughout their life cycle. This choice depends on the abundance, diversity, and accessibility of food resources. Wetlands such as the Marais breton and Marais poitevin (Atlantic coast, France) are common habitats for several Anatidae, especially during their prenuptial migration. However, studies on the food ecology of Anatidae at stopover sites are limited. Therefore, this study focused on the Northern shoveler Spatula clypeata, a species that regularly inhabits the two marshes during the breeding and migration periods and is highly dependent on freshwater invertebrates as the food resource because of its bill morphology. Fifteen Northern shoveler were equipped with a GPS/GSM tag and monitored during their prenuptial migration. The study objectives were to understand the strategies used by the Northern shoveler to select the foraging sites and describe the characteristics of these sites (such as freshwater invertebrates' abundance and diversity and the habitat type). In addition, home range (HR), space use, and habitat selection were studied.</span></p>
The developmental and evolutionary characteristics of transcription factor binding site clustered regions based on an explainable machine learning model
<p>## Identification of transcription factor binding sites clustered regions</p> <p>First, the TFBSs were identified from ATAC-seq peaks by FIMO. The position-specific weight matrices (PWMs) of transcription factors were downloaded from CIS-BP databases. The genomic sequences under the open chromatin regions were used as inputs for FIMO with a custom library of all motifs for each species to scan for motif instances at a p-value threshold of 1e-5. </p> <p>Then, an established method was used to identify TFCRs by performing the Gaussian kernel density estimations across the genome (with a bandwidth of 300bp centered on each TFBS). Each peak in density profile was considered a TFCR. To determine the complexity of each TFCR, the Gaussian kernelized distances from each peak that contributed at least 0.1 to its strength were determined. The complexity of each TFCR was determined by the quantity and proximity of the contributing TFBS. We combined motif instances based on the TF family information from CIS-BP to calculate the complexity of TFCR. The window for each TFCR was determined by finding the maximum distance (in bp) from the TFCR to a contributing TF and then adding 150 bp (one-half of the bandwidth). Each window was centered on the TFCR. The identified TFCR was grouped into 10 groups based on their complexity from low to high. </p> <p>usage: <br>indir="Human_fimo" # the directory where you put the output files of FIMO <br>motifMap="Homo_sapiens_2020_0920/TF_Information_all_motifs_plus.txt" # the mapping relationship of TF and its TF family from CIS-BP <br>cd Codes/TFCR_embryo <br>perl d-motif_combine.pl $indir TFfamily $motifMap <br>perl e-tfpos_combine.pl TFfamily <br>perl f1-tf_bed-new-c.pl TFfamily <br>perl 0-merge-TFCR.pl $indir TFfamily </p>
Supplementary file 2; Photographs of various camp survey locations that illustrate various characteristics of the study site and points of rationale for the approach taken to data collection, analysis and interpretation
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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.