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133 results for “Soil sampling”
Figure 1 from: Kaydan MB, Konczné Benedicty Z, Kiss B, Szita É (2016) A survey of scale insects in soil samples from Europe (Hemiptera, Coccomorpha). ZooKeys 565: 1-28. https://doi.org/10.3897/zookeys.565.6877
Figure 1 - Distribution of waxplates in Ortheziola genus. Figure based on Ortheziola britannica Kozár & Miller, female; after Kozár 2004.
Tracing low-CO2 fluxes in soil incubation and 13C labeling experiments: a simplified gas sampling system for respiration and photosynthesis measurements
<p>Data set containing data from feature tests (1-3) as well as photosynthesis and respiration measurements.</p>
Does a tradeoff between temporal stability and sampling frequency contribute to prediction accuracy of alternative stable states of soil moisture?
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Soil properties and N-cycling community data for 324 samples
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Data from: Soil sampling and isolation of extracellular DNA from large amount of starting material suitable for metabarcoding studies
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Data from: Optimal soil carbon sampling designs to achieve cost-effectiveness: a case study in blue carbon ecosystems
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Macrosystems Results for ITS in 7 Plot Soil Samples (UCLUST - Resampled)
Patterns of biodiversity, such as the increase toward the tropics and the peaked curve during ecological succession, are fundamental phenomena for ecology. Such patterns have multiple, interacting causes, but temperature emerges as a dominant factor across organisms from microbes to trees and mammals, and across terrestrial, marine, and freshwater environments. However, there is little consensus on the underlying mechanisms, even as global temperatures increase and the need to predict their effects becomes more pressing. The purpose of this project is to generate and test theory for how temperature impacts biodiversity through its effect on biochemical processes and metabolic rate. A combination of standardized surveys in the field and controlled experiments in the field and laboratory measure diversity of three taxa -- trees, invertebrates, and microbes -- and key biogeochemical processes of decomposition in seven forests distributed along a geographic gradient of increasing temperature from cold temperate to warm tropical. This data set captures abundance of OTUs (Operational Taxonomic Units) sampled for in forest soils at the original six sampling sites (HJ Andrews, Niwot, Harvard Forest, Coweeta, Luquillo, Barro Colorado Island) plus the new site set up by the Enquist Lab at Mt. Bigelow near Tucson, AZ. This data represents abundance of ITS (fungi) genes in soil samples processed by the University of Oklahoma Institute for Environmental Genomics as part of a macrosystems biodiversity and latitude project supported by the National Science Foundation under Cooperative Agreement DEB#1065836.
Macrosystems Results for ITS in 7 Plot Soil Samples (UPARSE - Resampled)
Patterns of biodiversity, such as the increase toward the tropics and the peaked curve during ecological succession, are fundamental phenomena for ecology. Such patterns have multiple, interacting causes, but temperature emerges as a dominant factor across organisms from microbes to trees and mammals, and across terrestrial, marine, and freshwater environments. However, there is little consensus on the underlying mechanisms, even as global temperatures increase and the need to predict their effects becomes more pressing. The purpose of this project is to generate and test theory for how temperature impacts biodiversity through its effect on biochemical processes and metabolic rate. A combination of standardized surveys in the field and controlled experiments in the field and laboratory measure diversity of three taxa -- trees, invertebrates, and microbes -- and key biogeochemical processes of decomposition in seven forests distributed along a geographic gradient of increasing temperature from cold temperate to warm tropical. This data set captures abundance of OTUs (Operational Taxonomic Units) sampled for in forest soils at the original six sampling sites (HJ Andrews, Niwot, Harvard Forest, Coweeta, Luquillo, Barro Colorado Island) plus the new site set up by the Enquist Lab at Mt. Bigelow near Tucson, AZ. This data represents abundance of ITS (fungi) genes in soil samples processed by the University of Oklahoma Institute for Environmental Genomics as part of a macrosystems biodiversity and latitude project supported by the National Science Foundation under Cooperative Agreement DEB#1065836.
Macrosystems Results for 16S in 7 Plot Soil Samples (UPARSE - Resampled)
Patterns of biodiversity, such as the increase toward the tropics and the peaked curve during ecological succession, are fundamental phenomena for ecology. Such patterns have multiple, interacting causes, but temperature emerges as a dominant factor across organisms from microbes to trees and mammals, and across terrestrial, marine, and freshwater environments. However, there is little consensus on the underlying mechanisms, even as global temperatures increase and the need to predict their effects becomes more pressing. The purpose of this project is to generate and test theory for how temperature impacts biodiversity through its effect on biochemical processes and metabolic rate. A combination of standardized surveys in the field and controlled experiments in the field and laboratory measure diversity of three taxa -- trees, invertebrates, and microbes -- and key biogeochemical processes of decomposition in seven forests distributed along a geographic gradient of increasing temperature from cold temperate to warm tropical. This data set captures abundance of OTUs (Operational Taxonomic Units) sampled for in forest soils at the original six sampling sites (HJ Andrews, Niwot, Harvard Forest, Coweeta, Luquillo, Barro Colorado Island) plus the new site set up by the Enquist Lab at Mt. Bigelow near Tucson, AZ. This data represents abundance of 16S (bacteria) genes in soil samples processed by the University of Oklahoma Institute for Environmental Genomics as part of a macrosystems biodiversity and latitude project supported by the National Science Foundation under Cooperative Agreement DEB#1065836.
Macrosystems Results for 16S in 7 Plot Soil Samples (UCLUST - Resampled)
Patterns of biodiversity, such as the increase toward the tropics and the peaked curve during ecological succession, are fundamental phenomena for ecology. Such patterns have multiple, interacting causes, but temperature emerges as a dominant factor across organisms from microbes to trees and mammals, and across terrestrial, marine, and freshwater environments. However, there is little consensus on the underlying mechanisms, even as global temperatures increase and the need to predict their effects becomes more pressing. The purpose of this project is to generate and test theory for how temperature impacts biodiversity through its effect on biochemical processes and metabolic rate. A combination of standardized surveys in the field and controlled experiments in the field and laboratory measure diversity of three taxa -- trees, invertebrates, and microbes -- and key biogeochemical processes of decomposition in seven forests distributed along a geographic gradient of increasing temperature from cold temperate to warm tropical. This data set captures abundance of OTUs (Operational Taxonomic Units) sampled for in forest soils at the original six sampling sites (HJ Andrews, Niwot, Harvard Forest, Coweeta, Luquillo, Barro Colorado Island) plus the new site set up by the Enquist Lab at Mt. Bigelow near Tucson, AZ. This data represents abundance of 16S (bacteria) genes in soil samples processed by the University of Oklahoma Institute for Environmental Genomics as part of a macrosystems biodiversity and latitude project supported by the National Science Foundation under Cooperative Agreement DEB#1065836.
Macrosystems Results for nifH in 6 Plot Soil Samples
Patterns of biodiversity, such as the increase toward the tropics and the peaked curve during ecological succession, are fundamental phenomena for ecology. Such patterns have multiple, interacting causes, but temperature emerges as a dominant factor across organisms from microbes to trees and mammals, and across terrestrial, marine, and freshwater environments. However, there is little consensus on the underlying mechanisms, even as global temperatures increase and the need to predict their effects becomes more pressing. The purpose of this project is to generate and test theory for how temperature impacts biodiversity through its effect on biochemical processes and metabolic rate. A combination of standardized surveys in the field and controlled experiments in the field and laboratory measure diversity of three taxa -- trees, invertebrates, and microbes -- and key biogeochemical processes of decomposition in seven forests distributed along a geographic gradient of increasing temperature from cold temperate to warm tropical. This data set captures temperature-dependent latitudinal microbial diversity sampled for in forest soils based on taxonomic and phylogenetic diversity observed in bacterial nitrogenase subunit H (nifH) for determining the diversity of nitrogen fixing bacteria important for N fixation, which is critical in biogeochemical cycling of N. This sequencing was done by the University of Oklahoma Institute for Environmental Genomics as part of a macrosystems biodiversity and latitude project supported by the National Science Foundation under Cooperative Agreement DEB#1065836.
Macrosystems Results for ITS in 6 Plot Soil Samples
Patterns of biodiversity, such as the increase toward the tropics and the peaked curve during ecological succession, are fundamental phenomena for ecology. Such patterns have multiple, interacting causes, but temperature emerges as a dominant factor across organisms from microbes to trees and mammals, and across terrestrial, marine, and freshwater environments. However, there is little consensus on the underlying mechanisms, even as global temperatures increase and the need to predict their effects becomes more pressing. The purpose of this project is to generate and test theory for how temperature impacts biodiversity through its effect on biochemical processes and metabolic rate. A combination of standardized surveys in the field and controlled experiments in the field and laboratory measure diversity of three taxa -- trees, invertebrates, and microbes -- and key biogeochemical processes of decomposition in seven forests distributed along a geographic gradient of increasing temperature from cold temperate to warm tropical. This data set captures temperature-dependent latitudinal microbial diversity sampled for in forest soils based on taxonomic and phylogenetic diversity observed in the internal transcribed spacer (ITS) between 18S and 28S ribosomal RNA genes for determining biodiversity of fungi, which are the second largest kingdom of eukaryotic life and one of the most highly diverse groups of organisms on Earth. This sequencing was done by the University of Oklahoma Institute for Environmental Genomics as part of a macrosystems biodiversity and latitude project supported by the National Science Foundation under Cooperative Agreement DEB#1065836.
Macrosystems 16S rRNA Genes for Bacteria and Archaea in 6 Plot Soil Samples
Patterns of biodiversity, such as the increase toward the tropics and the peaked curve during ecological succession, are fundamental phenomena for ecology. Such patterns have multiple, interacting causes, but temperature emerges as a dominant factor across organisms from microbes to trees and mammals, and across terrestrial, marine, and freshwater environments. However, there is little consensus on the underlying mechanisms, even as global temperatures increase and the need to predict their effects becomes more pressing. The purpose of this project is to generate and test theory for how temperature impacts biodiversity through its effect on biochemical processes and metabolic rate. A combination of standardized surveys in the field and controlled experiments in the field and laboratory measure diversity of three taxa -- trees, invertebrates, and microbes -- and key biogeochemical processes of decomposition in seven forests distributed along a geographic gradient of increasing temperature from cold temperate to warm tropical. This data set captures temperature-dependent latitudinal microbial diversity sampled for in forest soils based on taxonomic and phylogenetic diversity observed on 16S rRNA genes for bacteria and archaea in the V3-V4 regions by the University of Oklahoma Institute for Environmental Genomics as part of a macrosystems biodiversity and latitude project supported by the National Science Foundation under Cooperative Agreement DEB#1065836.
Spectrum and arsenic content of soil samples in Honghu and Daye, Hubei Province, China
<p>For the samples from Honghu, the spectral reflectance was measured by SVC HR-1024 field spectrometer. The number of wavelengths in the spectrum is 990.The resolution of 350-1000 nm, 1000-1900 nm and 1900-2500 nm are 1.5 nm, 3.8 nm and 2.5 nm respectively.The spectral reflectance of the soil sample from Daye was measured by ASD FieldSpec3 field spectrometer with spectral resolution of 1nm and wavelength range of 350-2500 nm. The number of wavelengths is 2151.To avoid the influence of edge noise, the wavelengths of 350-399nm and 2400-2500nm have been removed</p> <p>The first column of values is the arsenic content in the soil sample.</p>
Elemental Concentrations in Mushroom Samples and Soils from the Bailing Cu-Zn Deposit Area, A'cheng District, Harbin, China (with GPS Coordinates for Specific Samples)
<p>The dataset includes three tables: </p> <p>Table 1. Portable X-ray fluorescence (pXRF) measured and inductively coupled plasma (ICP) determined elemental concentrations for 40 mushroom samples from China.</p> <p>Table 2. Portable X-ray fluorescence (pXRF) measured and inductively coupled plasma (ICP) determined elemental concentrations for 20 mushroom samples grown in the Bailing Cu-Zn deposit area, A’cheng District, Harbin, China.</p> <p>Table 3. Portable X-ray fluorescence (pXRF) determined As concentrations in soils and As concentrations in Lepista nuda (wood blewit) grown in the Bailing Cu-Zn deposit area, Harbin City, China.</p>
Figure 1 in Efficiency of sampling methods for capturing soil-dwelling ants in three landscapes in southern Cameroon
Figure 1. Map showing the study sites.
Figure 1 in Endogean beetles (Coleoptera) of illustrated DNA barcode library Guatemala: deep soil sampling and
Figure 1. Map of the southern part of Guatemala showing the localities of the 26 deep soil samples.
Figure 5 from: Kaydan MB, Konczné Benedicty Z, Kiss B, Szita É (2016) A survey of scale insects in soil samples from Europe (Hemiptera, Coccomorpha). ZooKeys 565: 1-28. https://doi.org/10.3897/zookeys.565.6877
Figure 5 - Rhizoecus pseudocacticans, Hambleton, original.
Figure 3 from: Kaydan MB, Konczné Benedicty Z, Kiss B, Szita É (2016) A survey of scale insects in soil samples from Europe (Hemiptera, Coccomorpha). ZooKeys 565: 1-28. https://doi.org/10.3897/zookeys.565.6877
Figure 3 - Brevennia larvalis Kaydan, sp. n., adult female, holotype.
Figure 2 from: Kaydan MB, Konczné Benedicty Z, Kiss B, Szita É (2016) A survey of scale insects in soil samples from Europe (Hemiptera, Coccomorpha). ZooKeys 565: 1-28. https://doi.org/10.3897/zookeys.565.6877
Figure 2 - Ortheziola editae Szita & Konczné Benedicty, sp. n., adult female, holotype.
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Allen Brain Atlas
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Annotated Behaviour and Observability Dataset (ABODe)
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DANDI Archive for NWB datasets
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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.