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Araneae isotope analysis in pitfall traps in sub project 7 in KiLi project

Isotope analysis was conducted by Friederike Gerschlauer, together with Gustavo Seiz and Ralf Kiese. The Spiders were sorted, measured and prepared for analysis by Michael Haas for his master thesis. The KiLi project (2010-2018) is a German Science Foundation (DFG) funded research unit (DFG research unit FOR1246) that focuses on biodiversity and ecosystem processes along altitudinal and disturbance gradients on Mt. Kilimanjaro (Tanzania, Africa), capitalizing on its world-wide unique range of climatic and vegetation zones. The research unit comprises 2 central projects and 7 subprojects from various disciplines. On a total of 60 study sites in both natural and human-disturbed ecosystems biodiversity (e.g. plants, soil arthropods, ants, bees, frogs, lizards, bats, birds), related ecosystem processes (decomposition, seed dispersal, pollination, herbivory, predation), and biogeochemical processes and properties of ecosystems (climate, soil properties and nutrient status, regulation of water and carbon fluxes, trace gas emissions, primary productivity, functional diversity) are analyzed.

Araneae morphospecies in pitfall traps in sub project 7 in KiLi project

Morphospecies of reasonable quality, but not checked by a taxonomist. identification at family level should hold. We sampled arthropod assemblages in disturbed and undisturbed vegetation types along an elevational gradient of 860–4550 m asl on the southern slopes of Mt. Kilimanjaro, Tanzania. On each site, ten pitfall traps were evenly spaced along two 50 m transects, with a distance of 10 m between individual traps and 20 m between transects. Pitfall traps were filled with 100–200 ml of a mixture of ethylene glycol and water (1:1 vol/vol) with a drop of liquid soap to break surface tension. Traps were exposed for 7 days each during two to five sampling events in both the dry and wet seasons between May 2011 and October 2012. As the number of individuals collected in ten traps was very high, we had to confine the sorting and subsequent analysis to sub-sets of at least three traps per sampling site and sampling event. Unfortunately, we had to find out later that the ethylen glycol procured locally was actually a mixture of ethylen glycol and 2-ethoxyethanol, which is a strong oxidizing chemical. Therefore, any sequencing of specimen caught in pitfall traps was impossible. Haas, Michael. 2014. Master thesis. The influence of elevation on community composition and trophic position of spiders. University of Marburg The KiLi project (2010-2018) is a German Science Foundation (DFG) funded research unit (DFG research unit FOR1246) that focuses on biodiversity and ecosystem processes along altitudinal and disturbance gradients on Mt. Kilimanjaro (Tanzania, Africa), capitalizing on its world-wide unique range of climatic and vegetation zones. The research unit comprises 2 central projects and 7 subprojects from various disciplines. On a total of 60 study sites in both natural and human-disturbed ecosystems biodiversity (e.g. plants, soil arthropods, ants, bees, frogs, lizards, bats, birds), related ecosystem processes (decomposition, seed dispersal, pollination, herbivory, predation), and biogeochemical processes and properties of ecosystems (climate, soil properties and nutrient status, regulation of water and carbon fluxes, trace gas emissions, primary productivity, functional diversity) are analyzed.

Coleoptera morphospecies abundance in pitfall traps in sub project 7 in KiLi project

Carabidae identified to species, and other Coleoptera identified to morphospecies by Peter Schüle, Tenebrionidae identified by Dr. Wolfgang Schawaller. Assemblages of ground-dwelling beetles were sampled with pitfall traps8. Ten pitfall traps were evenly spaced along two 50 m transects, with a distance of 10 m between individual traps and 20 m between transects. Pitfall traps were filled with 100-200 ml solution of equal parts of ethylenglycol and water with a drop of liquid soap to break the surface tension. The traps were placed on the sampling sites in June 2012 and collected after seven days. As the number of individuals collected in ten traps was very high and all individuals could not be analyzed in time, for the present analysis, we processed only three traps from each study site. Ground-dwelling beetles were sorted to morphospecies level, and where possible, to species. <div> The KiLi project (2010-2018) is a German Science Foundation (DFG) funded research unit (DFG research unit FOR1246) that focuses on biodiversity and ecosystem processes along altitudinal and disturbance gradients on Mt. Kilimanjaro (Tanzania, Africa), capitalizing on its world-wide unique range of climatic and vegetation zones. The research unit comprises 2 central projects and 7 subprojects from various disciplines. On a total of 60 study sites in both natural and human-disturbed ecosystems biodiversity (e.g. plants, soil arthropods, ants, bees, frogs, lizards, bats, birds), related ecosystem processes (decomposition, seed dispersal, pollination, herbivory, predation), and biogeochemical processes and properties of ecosystems (climate, soil properties and nutrient status, regulation of water and carbon fluxes, trace gas emissions, primary productivity, functional diversity) are analyzed. </div>

Pitfall traps Collembola morphospecies abundance in sub project 7 in KiLi project

Abundances of Collembola, resolution morphospecies. See "<a href="../doi/10.5281/zenodo.13829067">Collembola morphospecies in sub project 7 in KiLi project</a>" for actual species names. Assemblages of springtails were sampled with pitfall traps. Ten pitfall traps were evenly spaced along two 50 m transects, with a distance of 10 m between individual traps and 20 m between transects. Pitfall traps were filled with 100-200 ml solution of equal parts of ethylenglycol and water with a drop of liquid soap to break the surface tension. The traps were placed on the sampling sites in June 2012 and collected after seven days. As the number of individuals collected in ten traps was very high and all individuals could not be analyzed in time, for the present analysis, we processed only three traps from each study site. Ground-dwelling beetles were sorted to morphospecies level, and where possible, to species. The KiLi project (2010-2018) is a German Science Foundation (DFG) funded research unit (DFG research unit FOR1246) that focuses on biodiversity and ecosystem processes along altitudinal and disturbance gradients on Mt. Kilimanjaro (Tanzania, Africa), capitalizing on its world-wide unique range of climatic and vegetation zones. The research unit comprises 2 central projects and 7 subprojects from various disciplines. On a total of 60 study sites in both natural and human-disturbed ecosystems biodiversity (e.g. plants, soil arthropods, ants, bees, frogs, lizards, bats, birds), related ecosystem processes (decomposition, seed dispersal, pollination, herbivory, predation), and biogeochemical processes and properties of ecosystems (climate, soil properties and nutrient status, regulation of water and carbon fluxes, trace gas emissions, primary productivity, functional diversity) are analyzed.

Araneae families abundance in pitfall traps in sub project 7 in KiLi project

Abundances of spiders, resolution at least family level, FER2 was not sampled. We sampled arthropod assemblages in disturbed and undisturbed vegetation types along an elevational gradient of 860–4550 m asl on the southern slopes of Mt. Kilimanjaro, Tanzania. On each site, ten pitfall traps were evenly spaced along two 50 m transects, with a distance of 10 m between individual traps and 20 m between transects. Pitfall traps were filled with 100–200 ml of a mixture of ethylene glycol and water (1:1 vol/vol) with a drop of liquid soap to break surface tension. Traps were exposed for 7 days each during two to five sampling events in both the dry and wet seasons between May 2011 and October 2012. As the number of individuals collected in ten traps was very high, we had to confine the sorting and subsequent analysis to sub-sets of at least three traps per sampling site and sampling event. Unfortunately, we had to find out later that the ethylen glycol procured locally was actually a mixture of ethylen glycol and 2-ethoxyethanol, which is a strong oxidizing chemical. Therefore, any sequencing of specimen caught in pitfall traps was impossible. Haas, Michael. 2014. Master thesis. The influence of elevation on community composition and trophic position of spiders. University of Marburg The KiLi project (2010-2018) is a German Science Foundation (DFG) funded research unit (DFG research unit FOR1246) that focuses on biodiversity and ecosystem processes along altitudinal and disturbance gradients on Mt. Kilimanjaro (Tanzania, Africa), capitalizing on its world-wide unique range of climatic and vegetation zones. The research unit comprises 2 central projects and 7 subprojects from various disciplines. On a total of 60 study sites in both natural and human-disturbed ecosystems biodiversity (e.g. plants, soil arthropods, ants, bees, frogs, lizards, bats, birds), related ecosystem processes (decomposition, seed dispersal, pollination, herbivory, predation), and biogeochemical processes and properties of ecosystems (climate, soil properties and nutrient status, regulation of water and carbon fluxes, trace gas emissions, primary productivity, functional diversity) are analyzed.

Coleoptera Carabidae body size in pitfall traps in sub project 7 in KiLi project

There are still some unsolved qustions regarding plot level information, but means per Carabid species are available. Abacetus spec., Afrotarus kilimanus, Neosipelus sp. 1 and sp 2., Tyronia lateralis and Tyronia spec. nov. - measurements are available, but without information for the plot. Assemblages of ground-dwelling beetles were sampled with pitfall traps8. Ten pitfall traps were evenly spaced along two 50 m transects, with a distance of 10 m between individual traps and 20 m between transects. Pitfall traps were filled with 100-200 ml solution of equal parts of ethylenglycol and water with a drop of liquid soap to break the surface tension. The traps were placed on the sampling sites in June 2012 and collected after seven days. As the number of individuals collected in ten traps was very high and all individuals could not be analyzed in time, for the present analysis, we processed only three traps from each study site. Ground-dwelling beetles were sorted to morphospecies level, and where possible, to species. The KiLi project (2010-2018) is a German Science Foundation (DFG) funded research unit (DFG research unit FOR1246) that focuses on biodiversity and ecosystem processes along altitudinal and disturbance gradients on Mt. Kilimanjaro (Tanzania, Africa), capitalizing on its world-wide unique range of climatic and vegetation zones. The research unit comprises 2 central projects and 7 subprojects from various disciplines. On a total of 60 study sites in both natural and human-disturbed ecosystems biodiversity (e.g. plants, soil arthropods, ants, bees, frogs, lizards, bats, birds), related ecosystem processes (decomposition, seed dispersal, pollination, herbivory, predation), and biogeochemical processes and properties of ecosystems (climate, soil properties and nutrient status, regulation of water and carbon fluxes, trace gas emissions, primary productivity, functional diversity) are analyzed.

opencc-by-4.0Aug 2021View details →

Data for "Low Barrier for Exciton Self-Trapping Enables High Photoluminescence Quantum Yield in Cs3Cu2I5"

All structure files, including points along the configurational coordinate diagram, and data for optical spectra

opencc-by-4.0Nov 2022View details →

Original .tif files for "Land snails can trap trematode cercariae in their shell: encapsulation as a general response against parasites?"

In our article "Land snails can trap trematode cercariae in their shell: encapsulation as a general response against parasites?", we use photographic evidence to demonstrate the ability of snails to trap trematodes in their shells. Here we archive the tif files that make up our Figure 1 for this paper, for browsing at higher resolutions than on the published article. Below a (slightly edited) copy of the figure legend: "Backlit views of metazoan parasites trapped in the shell of Cornu aspersum: trematode cercariae (Fig1A.tif, Fig1B.tif, Fig1C.tif), and nematode (Fig1D.tif). Small cracks of the inner shell layer (Fig1B.tif) can be seen above the cercariae and were considered as indicative of damage on the shell after it covered cercariae. Note the accumulation of dark adhering cells around or above the parasites in both cases of cercariae (Fig1C.tif) and nematode (Fig1D.tif)."

openmit-licenseSep 2022View details →

Supplemental Data Sets for "Buried Ice Deposits in Lunar Polar Cold Traps were Disrupted by Ballistic Sedimentation"

Supporting Data Sets for manuscript "Buried Ice Deposits in Lunar Polar Cold Traps were Disrupted by Ballistic Sedimentation". Contains Data Sets S1-S7 as described in the manuscript and Supplementary information S1 (see <a href="https://doi.org/10.1029/2022JE007567">https://doi.org/10.1029/2022JE007567</a>).

opencc-by-4.0Feb 2023View details →

Shielding performance of the 98 first chemical elements against trapped particles on GTO

The 1LayerElements.csv file contains the shielding performance results for the first 98 chemical elements against trapped particles in Geostationary Transfer Orbit (GTO). The material properties are sourced from the Geant4 material database, with materials referenced by their Geant4 material database names For elements that are gases under normal conditions, the liquified version from the Geant4 database is used if available, denoted by an "l" prefix (e.g., "G4_lH2"). The particle spectra used for this simulation are provided in the files AE9500keV.mac and AP910MeV.mac. The simulated geometry is provided in the file 1LayerElements.gdml The particle spectra were generated with the AE9/AP9 models on SPENVIS, with electron energies starting at 500 keV and proton energies starting at 10 MeV. The simulation was performed with GRAS / Geant4 with the FTFP_BERT physics model using 4.3e+10 electrons and 1e+08 protons directed against slabs of shielding materials of 1.5 g/cm2 depth. The ionizing dose is recorded in 0.5mm thick silicon plates behind the shielding plates. Column A: Z-number of the element. Column B: Name of the material as referenced from the Geant4 material database. Column C: Ionizing dose due to electrons in units of kRad per month. Column D: Absolute statistical error in the electron dose due to the statistical nature of the Monte-Carlo simulation in kRad per month. Column E: ionizing dose due to protons in kRad per month. Column F: Absolute statistical error in the proton dose in kRad per month.  Column G: Total ionizing dose from electrons and protons in kRad per month. Column H: Absolute statistical error in the total ionizing dose in kRad per month.  Column I: Relative statistical error of the total ionizing dose in per cent. Column J: Rank of the material sorted from lowest total ionizing dose to highest. Column K: Rank of the material sorted from lowest electron dose to highest. Column L: Rank of the material sorted from lowest proton dose to highest. All dose values are rounded according to their uncertainty.

opencc-by-4.0Feb 2023View details →

Simulated shielding performance of 1024 five-layer permutations of four satellite and radiation shielding materials against trapped particles on GTO

The 5Layer.csv file contains ionizing dose results of simulating the shielding performance of all 1024 five-layer permutations of four satellite and radiation shielding materials against trapped particles on GTO. The materials are the aluminium alloy 7075 (Al_7075), polyethylene (G4_POLYETHYLENE), tungsten (G4_W) and the circuit board composite material FR4 (FR4). The particle spectra used for this simulation are provided in the files AE9500keV.mac and AP910MeV.mac. The simulated geometry is provided in the file 5Layer.gdml. The particle spectra were generated with the AE9/AP9 models on SPENVIS, with electron energies starting at 500 keV and proton energies starting at 10 MeV. The simulation was performed with GRAS / Geant4 with the FTFP_BERT physics model using 1.4e+11 electrons and 3.1e+09 protons directed against slabs of shielding materials of 1.5 g/cm2 total depth with each of the five layers being 0.3 g/cm2 in depth. The ionizing dose is recorded in 0.5mm thick silicon plates behind the shielding plates. Column A: ID of the material combination Column B: Name of the top layer material. Column C: Name of the second layer material. Column D: Name of the third layer material. Column E: Name of the fourth layer material. Column F: Name of the bottom layer material. Column G: Ionizing dose due to electrons in units of kRad per month. Column H: Absolute statistical error in the electron dose in kRad per month. Column I: Ionizing dose due to protons in kRad per month. Column J: Absolute statistical error in the proton dose in kRad per month.  Column K: Total ionizing dose from electrons and protons in kRad per month. Column L: Absolute statistical error in the total ionizing dose in kRad per month.  Column M: Relative statistical error of the total ionizing dose in per cent. Column N: Rank of the material combination sorted from lowest total ionizing dose to highest. Column O: Rank of the material combination sorted from lowest electron dose to highest. Column P: Rank of the material combination sorted from lowest proton dose to highest. All dose values are rounded according to their uncertainty.

opencc-by-4.0Feb 2023View details →

Simulated shielding performance of 1296 four-layer permutations of six common satellite and radiation shielding materials against trapped particles on GTO

The 4Layer.csv file contains ionizing dose results of simulating the shielding performance of all 1296 four-layer permutations of six common satellite and radiation shielding materials against trapped particles on GTO. The materials are the aluminium alloy 7075 (Al_7075), polyethylene (G4_POLYETHYLENE), kevlar (G4_KEVLAR), tungsten (G4_W), stainless steel (G4_STAINLESS_STEEL) and the circuit board composite material FR4 (FR4). The particle spectra used for this simulation are provided in the files AE9500keV.mac and AP910MeV.mac. The simulated geometry is provided in the file 4Layer.gdml. The particle spectra were generated with the AE9/AP9 models on SPENVIS, with electron energies starting at 500 keV and proton energies starting at 10 MeV. The simulation was performed with GRAS / Geant4 with the FTFP_BERT physics model using 6.6e+10 electrons and 3.8e+09 protons directed against slabs of shielding materials of 1.5 g/cm2 total depth with each of the four layers being 0.375 g/cm2 in depth. The ionizing dose is recorded in 0.5mm thick silicon plates behind the shielding plates. Column A: ID of the material combination Column B: Name of the top layer material. Column C: Name of the second layer material. Column D: Name of the third layer material. Column E: Name of the bottom layer material. Column F: Ionizing dose due to electrons in units of kRad per month. Column G: Absolute statistical error in the electron dose in kRad per month. Column H: Ionizing dose due to protons in kRad per month. Column I: Absolute statistical error in the proton dose in kRad per month.  Column J: Total ionizing dose from electrons and protons in kRad per month. Column K: Absolute statistical error in the total ionizing dose in kRad per month.  Column L: Relative statistical error of the total ionizing dose in per cent. Column M: Rank of the material combination sorted from lowest total ionizing dose to highest. Column N: Rank of the material combination sorted from lowest electron dose to highest. Column O: Rank of the material combination sorted from lowest proton dose to highest. All dose values are rounded according to their uncertainty.

opencc-by-4.0Apr 2023View details →

Pest Sticky Traps: a dataset for Whitefly Pest Population Density Estimation in Chromotropic Sticky Traps

The dataset The Pest Sticky Traps (PST) dataset is a collection of yellow chromotropic sticky trap pictures specifically designed for training/testing deep learning models to automatically count insects and estimate pest populations. Images were manually annotated by some experts of the Department of Agriculture, Food and Environment of the University of Pisa (Italy) by putting a dot over the centroids of each identified insect. Specifically, we labeled insects as belonging to the category “whitefly” considering two different species, i.e., the sweet potato whitefly (Bemisia tabaci) (Gennadius) and the greenhouse whitefly (Trialeurodes vaporariorum) (Westwood). The dataset comprises two subsets: - a subset we suggest using for the training/validation phases (contained in the `train/` folder) - a subset we suggest using for the test phase (contained in the `test/` folder) Annotations of the two subsets are contained in `train/annotations.csv` and `test/annotations.csv`, respectively. They have the following columns: - *imageName* - filename of the image containing the whiteflies, - *X,Y* - 2D coordinates of the whitefly in the image space, - *class* - class index of the insect (always 0 in this dataset).   Citing our work If you found this dataset useful, please cite the following paper <blockquote> <pre>@inproceedings{CIAMPI2023102384, title = {A deep learning-based pipeline for whitefly pest abundance estimation on chromotropic sticky traps},    journal = {Ecological Informatics}, volume = {78}, pages = {102384}, year = {2023}, issn = {1574-9541},     doi = {10.1016/j.ecoinf.2023.102384},   url = {https://www.sciencedirect.com/science/article/pii/S1574954123004132},   year = 2023,     author = {Luca Ciampi and Valeria Zeni and Luca Incrocci and Angelo Canale and Giovanni Benelli and Fabrizio Falchi and Giuseppe Amato and Stefano Chessa}, } </pre> </blockquote> and this Zenodo Dataset <blockquote> <pre>@dataset{ciampi_2023_7801239,     author = {Luca Ciampi and Valeria Zeni and Luca Incrocci and Angelo Canale and Giovanni Benelli and Fabrizio Falchi and Giuseppe Amato and Stefano Chessa},     title = {Pest Sticky Traps: a dataset for Whitefly Pest Population Density Estimation in Chromotropic Sticky Traps}},   month = apr,   year = 2023,   publisher = {Zenodo},   version = {1.0.0},   doi = {10.5281/zenodo.7801239},   url = {<a href="https://doi.org/10.5281/zenodo.7801239">https://doi.org/10.5281/zenodo.6560823</a>} } </pre> </blockquote>   Contact Information If you would like further information about the dataset or if you experience any issues downloading files, please contact us at <a href="mailto:mobdrone@isti.cnr.it">luca.ciampi@isti.cnr.it</a>

opencc-by-4.0Apr 2023View details →

Simulated shielding performance of 2500 two-layer permutations of the first 50 chemical elements against trapped particles on GTO

The 2Layer.csv file contains ionizing dose results of simulating the shielding performance of all 2500 two-layer permutations of the first 50 chemical elements against trapped particles in Geostationary Transfer Orbit (GTO). The material properties are sourced from the Geant4 material database, with materials referenced by their Geant4 material database names. For elements that are gases under normal conditions, the liquified version from the Geant4 database is used if available, denoted by an "l" prefix (e.g., "G4_lH2"). The particle spectra used for this simulation are provided in the files AE9500keV.mac and AP910MeV.mac. The simulated geometry is provided in the file 2Layer.gdml. The particle spectra were generated with the AE9/AP9 models on SPENVIS, with electron energies starting at 500 keV and proton energies starting at 10 MeV. The simulation was performed with GRAS / Geant4 with the FTFP_BERT physics model using 2.1e+11 electrons and 8.4e+09 protons directed against slabs of shielding materials of 1.5 g/cm2 total depth with each of the two layers being 0.75 g/cm2 in depth. The ionizing dose is recorded in 0.5mm thick silicon plates behind the shielding plates. Column A: ID of the material combination Column B: Z-Number of Material 1 Column C: Z-Number of Material 2 Column D: Name of the first layer material. Column E: Name of the second layer material. Column F: Ionizing dose due to electrons in units of kRad per month. Column G: Statistical error in the electron dose in kRad per month. Column H: Ionizing dose due to protons in kRad per month. Column I: Statistical error in the proton dose in kRad per month. Column J: Total ionizing dose from electrons and protons in kRad per month. Column K: Statistical error in the total ionizing dose in kRad per month. Column L: Rank of the material combination sorted from lowest electron dose to highest. Column M: Rank of the material combination sorted from lowest proton dose to highest. Column N: Rank of the material combination sorted from lowest total ionizing dose to highest. All dose values are rounded according to their statistical uncertainty as reported by GRAS/Geant4.

openCC (other)Feb 2023View details →

Rainforest phenology: flower, fruit and seed production from biweekly collections of 200 traps in the Yasuní Forest Dynamics Plot, Ecuador, 2000-2018

We provide data on flowering and fruiting phenology from an equatorial, ever-wet rainforest in eastern Ecuador, in Yasuni National Park. This is the first long-term study (18 years) of phenology in a diverse equatorial neotropical forest. Although the site is ever-wet, there is some seasonal variation in rainfall and irradiance. One major question was to determine whether the seasonal variation in climate was sufficient to drive seasonality in reproduction in this hyper-diverse forest. The study began in 2000 with various funding, and became an LTREB-funded project in 2006. We used twice monthly censuses of 200 traps to document phenology. Parts of >1000 species were identified in the traps in the 18 year period (ending early in 2018), including trees, shrubs, lianas and epiphytes. Parts identified included buds, flowers, mature fruits and mature seeds, and aborted, damaged and immature fruits and seeds. The project is on-going, and additional data will be added as it is processed.

openCC0Feb 2023View details →

Identified invertebrate bycatch from beetle pitfall traps at SJER and SOAP, 2017 - 2018 (repackaging of occurrences published by the NEON Biorepository Data Portal)

California permit requirements necessitated a more thorough identification of beetle pitfall samples than is typical of this protocol. These invertebrate bycatch samples therefore have occurrence associations that indicate their contents in both the NEON Biorepository and main NEON data portals.  See NEON prototype dataset 9bc959c-148b-aaad-aa35-2d0805327428 available here.

openCC (other)Sep 2019View details →

Calhoun Lines small mammal trapping transect data from UC Berkeley - Sagehen Creek Field Station, CA between 1950 and 1989

Database contains detailed records from a series of Calhoun Lines established in Sagehen Creek Basin, California. Thirteen lines were established and run, at various intervals, between 1950 and 1989. The database contains vegetation analysis, small mammal trapline data, habitat photos, trapline charts and graphs, aerial photos, and sketches of individual Calhoun lines. This database was created from photocopies of original records. In some cases, data was unreadable or illegible. It cannot be guaranteed that this is a complete record of all Calhoun line data at Sagehen Creek Field Station. Dataset and metadata is available under the Mammals section on the Sagehen data resources page. As part of the Sagehen Forest Project monitoring, this dataset was resampled in summer, 2011 and will be again in summer 2019.

openOpenJul 2021View details →

Bonanza Creek Experimental Forest Beetles Per Trap Beginning in 1975 - Kruse (Reformatted to a Darwin Core Archive)

openOpenAug 2021View details →

SGS-LTER Long-Term Monitoring Project: Vegetation Cover on Small Mammal Trapping Webs on the Central Plains Experimental Range, Nunn, Colorado, USA 1999 -2006, ARS Study Number 118 (Reformatted to a Darwin Core Archive)

This data package is formatted as a Darwin Core Archive (DwC-A, event core). For more information on Darwin Core see https://www.tdwg.org/standards/dwc/. This Level 2 data package was derived from the Level 1 data package found here: https://pasta.lternet.edu/package/metadata/eml/edi/326/2, which was derived from the Level 0 data package found here: https://pasta.lternet.edu/package/metadata/eml/knb-lter-sgs/140/17. The abstract below was extracted from the Level 0 data package and is included for context: This data package was produced by researchers working on the Shortgrass Steppe Long Term Ecological Research (SGS-LTER) Project, administered at Colorado State University. Long-term datasets and background information (proposals, reports, photographs, etc.) on the SGS-LTER project are contained in a comprehensive project collection within the Digital Collections of Colorado (http://digitool.library.colostate.edu/R/?func=collections&collection_id=3429). The data table and associated metadata document, which is generated in Ecological Metadata Language, may be available through other repositories serving the ecological research community and represent components of the larger SGS-LTER project collection. Additional information and referenced materials can be found: http://hdl.handle.net/10217/83458. The abundance and diversity of small mammals in shortgrass steppe is strongly influenced by the structure and composition of vegetation. Vegetation structure provides cover from predators and harsh abiotic conditions. Plant species composition affects the types of seeds and herbaceous material available to granivores and herbivores, and influences arthropod populations, which are important prey for the omnivorous species that dominate in shortgrass steppe. Both vegetation structure and plant community composition are sensitive to the availability of precipitation as well as the activity of large mammalian herbivores. In 1999, we began measuring vegetation structure and p