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500 results for “semi-arid”
Semi-Arid Grassland Nitrogen Addition Experiment: New Mexico, 2018-2021
This dataset contains field and laboratory incubation measurements from a four-year nutrient addition experiment (2018–2021) conducted in three adjacent (<5 km apart) Chihuahuan Desert grasslands near Carlsbad Caverns National Park, New Mexico, USA (32°10′31″N, 104°26′38″W). The three replicate grassland sites were dominated by different grass species: Bouteloua gracilis (“Native Grama” site), Muhlenbergia setifolia (“Native Muhly” site), and Eragrostis lehmanniana (“Invasive Lovegrass” site). The Native Grama and Invasive Lovegrass sites were located on recently deposited alluvial soils classified as Entisols (Ustic Torrifluvents), formed from gravelly alluvium derived from limestone. Soils at the Native Muhly site were classified as shallow Aridisols formed from colluvium and residuum weathered from limestone and dolomite. Plot soils at the Native Grama and Invasive Lovegrass sites were sandy loam, while soils at the Native Muhly site were loam. Pre-treatment soil chemistry (collected May 2018 at 0–5 cm depth) was relatively consistent across sites, with pH ranging from 7.6 to 7.8 and similar inorganic N concentrations. Experimental field plots at each site received annual additions of nitrogen (+2 or +4 kg N ha⁻¹ yr⁻¹ as ammonium nitrate), carbon (+6 g m⁻² as sucrose), or no additions (ambient control). In 2020, a supplemental water treatment was applied only at the Native Grama site to simulate an additional 55 mm of rainfall during the monsoon season. Field data include measurements of soil chemistry (pH, inorganic nutrients, extractable organic C, total N), microbial biomass (C, N, P), extracellular enzyme activities, vegetation cover by functional group, species richness, Shannon diversity indices, and foliar chemistry (%C, %N, C:N ratios). Measurements were collected seasonally (pre-monsoon, monsoon, winter) or annually at peak biomass from 2018 through 2021. Laboratory incubations were conducted to complement field measurements. In 2019, a 30-day nitrogen t
Belowground responses to altered precipitation regimes in two semi-arid grasslands
Predicted climate change extremes, such as severe and prolonged drought, may profoundly impact biogeochemical processes like carbon and nitrogen cycling in water-limited ecosystems. To increase our understanding of how extreme climate events impact belowground ecosystem processes, we investigated the effects of five years of severe growing season drought and two-month delay in monsoon precipitation on belowground productivity and biogeochemical processes in two semi-arid grasslands. This experiment takes place during the fifth year of the Extreme Drought in Grassland Experiment (EDGE) at the Sevilleta National Wildlife Refuge (SNWR), a Long-Term Ecological Research in central New Mexico, USA. The two grassland sites a Chihuahuan Desert grassland dominated by Bouteloua eriopoda and Great Plains grassland dominated by B. gracilis are ~5km apart in the SWNR. The EDGE platform was established in the spring of 2012 (pre-treatment). Each site contains three treatments (ten replicates): ambient rainfall, extreme growing season drought, and delayed monsoon. The extreme drought treatment reduces growing season rainfall (April through September) each year by 66%, which equates to a 50% reduction of annual precipitation while maintaining natural precipitation patterns. There are 10 replicates per treatment within each site. All plots are 3 x 4 m in size and are paired spatially into blocks with treatments assigned randomly within a block. We measured an array of belowground and biogeochemical variables. Each variable was measured either once, twice, or three times (specific information on sampling scheme for each measured variable in methods section). Belowground net primary productivity, standing crop root biomass, total organic carbon, and total nitrogen were measured once. Extractable organic carbon, extractable total nitrogen, microbial biomass carbon, microbial biomass nitrogen and extracellular enzymes were measured twice. Available soil nitrate, available soil ammonium,
Dataset to manuscript: Soil organic carbon stocks and quality in small-scale tropical, sub-humid and semi-arid watersheds under shrubland and dry deciduous forest in southwestern India
<p>Raw data to the manuscript entitled "Soil organic carbon stocks and quality in small-scale tropical, sub-humid and semi-arid watersheds under shrubland and dry deciduous forest in southwestern India" by Severin-Luca Bellè, Jean Riotte, Muddu Sekhar, Laurent Ruiz, Marcus Schiedung and Samuel Abiven.</p> <p>Data files include all raw data of soil cores (20211111_Raw_data.zip), data measured on composited samples (20211111_Composite_data.zip) and DRIFT spectra (20211111_DRIFT_data.zip).</p> <p>Files ending with var_names are the README files.</p>
Aggregate mesquite litter chemistry following soil-mixing and decomposition in a semi-arid grassland at the Jornada Basin LTER, 2010-2012
This dataset contains litter carbon content, nitrogen content, and associated chemistry data from a litter decomposition experiment at the Jornada Basin LTER in 2010 to 2012. To assess the role of soil-litter mixing (SLM) in aridland litter decomposition, litterbags were deployed in the Chihuahuan Desert and interrelationships between vegetation structure, SLM, and rates of decomposition were quantified. To assess the role of vegetation structure, litterbags were deployed in contrasting vegetation microsites, including grass, shrub, and bare ground microsites. This dataset contains litter chemistry data from the experiment including percent carbon, percent nitrogen, ash corrections, and the carbon to nitrogen ratio of litter in recovered bags. This study is complete.
Aggregate mesquite litter mass-loss following soil-mixing and decomposition in a semi-arid grassland at the Jornada Basin LTER, 2010-2012
This package contains litter mass loss data from a litter decomposition experiment at the Jornada Basin LTER. To assess the role of soil-litter mixing (SLM) in aridland litter decomposition, litterbags were deployed in the Chihuahuan Desert and interrelationships between vegetation structure, SLM, and rates of decomposition were quantified. To assess the role of vegetation structure, litterbags were deployed in contrasting vegetation microsites, including grass, shrub, and bare ground microsites. This dataset contains the mass-loss data (including ash-corrections) from the experiment. This study is complete.
Intra-urban variations in land surface phenology in a semi-arid environment
<p>Data repository for 'Intra-urban variations in land surface phenology in a semi-arid environment', ERL</p> <p>Contact: Ben Crawford, University of Colorado Denver (benjamin.crawford@ucdenver.edu)</p> <p>Data description:</p> <ul> <li>NDVI.zip: <ul> <li>MODIS NDVI geotif rasters for Denver study area</li> <li>Additional metadata provided in subdirectories</li> </ul> </li> <li>LST.zip: <ul> <li>Landsat LST geotif rasters for Denver study area</li> </ul> </li> <li>Tair.zip <ul> <li>Seasonal modeled air temperatures for Denver study area (as described in the manuscript and supplemental information)</li> </ul> </li> <li>Den470_LandCover_250m_WGS.tif <ul> <li>Denver study area 2018 land cover fractions, derived from 1 m data at https://data.drcog.org/</li> </ul> </li> </ul> <p> </p>
Topoedaphic constraints on woody plant cover in a semi-arid grassland
<p>Provided is an excel spreadsheet which contains data used to estimate maximum potential shrub cover across a semi-arid grassland in Southern Arizona. Data was obtained using a classified shrub cover (mesquite) map of Las Cienegas National Conservation Area in Southeastern Arizona which was derived using 2017 NAIP imagery which is free available on EarthExplorer. Classified shrub cover map was created using an unsupervised ISO classification technique within ArcGIS. This shrub cover map was upscaled to 100m and a number of topoedaphic spatial layers were overlaid onto this shrub cover layer and their layers extracted per pixel. This data was then analyized within R using a segmented quantile regression approach to identify maximum shrub cover by topoedaphic characteristics at the 95th percent quantile. For sample of quantile code please contact the corresponding author.</p> <p>Topoedaphic variables analyzed in this data set are: <br> Shrub Cover (%)<br> Elevation (m)<br> Slope Inclination (°)<br> Slope Aspect (Cardinal Direction)<br> Value 2 = North<br> Value 3 = East<br> Value 4 = South<br> Value 5 = West<br> Percent Clay between 0 to 5cm (%)<br> Depth to bedrock (cm)<br> Topographic Wetness index (TWI) (unitless with higher values representing more run-on/wetter conditions)</p> <p>Shrub cover was analyzed at the study site level and at the ecological site level. </p>
Simulated climate change reduced the capacity of lichen-dominated biocrusts to act as carbon sinks in two semi-arid Mediterranean ecosystems
<p> Biocrust gas exchange measurements used as input data for this study. The methods are described in detail in the related identifier paper.</p>
Spring Precipitation Amount and Timing Predict Restoration Success in a Semi-Arid Ecosystem Code and Data
<table> <tbody> <tr> <td>The data here is summary data compiled from all years of the project that lead to the publication Spring Precipitation Amount and Timing Predict Restoration Success in a Semi-Arid Ecosystem with the Journal of Applied Ecology and code to analyze these data. Our study was focused on the Northern Great Basin ecosystem. We conducted surveys at 48 sites over the course of five years (2016-2020). All were located on public lands managed by either the Bureau of Land Management, Idaho Department of Lands, or Oregon State Lands Department. We looked at the influence of management, biotic, abiotic and weather variables predicting seedling establishment success, 45 predictor variables in all. Machine learning techniques were used to select most important predictor variables to be used in future work predicting good seedling establishment windows. </td> </tr> </tbody> </table>
Accompanying data for the open-source book Modeling of Hydrological Systems in Semi-Arid Central Asia
<p>This data set is used to reproduce examples in the open-source book <a href="https://hydrosolutions.github.io/caham_book/">"Modeling of Hydrological Systems in Semi-Arid Central Asia"</a> which is part of a free course on hydrological modeling in Central Asia. The course teaches how to use publicly available data to implement a hydrological model for climate impact studies (Marti et al., 2023). </p> <p>To use the data set to reproduce the examples in the book: Download the book from https://doi.org/10.5281/zenodo.6350042 and this data set to the same hierarchical level in your file system: </p> <p>|- caham_book<br> |- caham_data<br> |- AmuDarya<br> |- central_asia_domain<br> |- student_case_study_basins<br> |- SyrDarya</p> <p>You will need a working installation of R (https://www.r-project.org/) and a GUI (e.g. Posit, formerly RStudio https://posit.co/) to reproduce the scripted examples in the book. Once your software is set up, you can proceed to run the examples. </p> <p> </p>
SNE01 Species richness, community evenness (Evar) and ANPP effects of nitrogen addition across a gradient of 8 levels in a semi-arid shortgrass steppe and a mesic tallgrass prairie, 2014-2018
This dataset contains the first five years (2014-2018) of the effect of nitrogen addition on species richness, species evenness (Evar) and productivity for a long-term nitrogen addition gradient experiment in two North American grasslands: a semi-arid shortgrass steppe and a mesic tallgrass prairie. Fertilization with time-release urea has been on-going since 2014 in a gradient of eight levels: 0, 2.5, 5, 10, 15, 20, 30 g/m-2. The effect of nitrogen on richness, evenness and Aboveground Net Primary Productivity (ANPP g/m-2 yr) is calculated as the absolute change in value from control plots to treatment plots within each block.
Map of 15 Ecoclimatic Arid and Semi-Arid zones in Africa (6°S-39°N)
<p>Ecoclimatic Arid and Semi-Arid zones in Africa (6°S-39°N) based were derived from a multiway analysis of the WorldClim database (1950-2000). See details in the paper:<em> Leibovici DG,<strong> </strong>Quillevere G and Desconnets J-C (2007) A method to Classify Ecoclimatic Arid and Semi-Arid Zones in Circum-Saharan Africa Using Dynamics of Multiple Indicators. <strong>IEEE Transaction in Geoscience And Remote Sensing, 45(12), 4000-4007. </strong></em>doi:<a href="https://doi.org/10.1109/TGRS.2007.908878">10.1109/TGRS.2007.908878</a></p> <p>A follow up paper is part of the zip archive for multiscale consideration (Leibovici, D. G., & Jackson, M. (2011). Multi-scale integration for spatio-temporal ecoregioning delineation. <strong><em>International Journal of Image and Data Fusion</em>, <em>2</em>(2), 105-119</strong>. doi:<a href="https://doi.org/10.1080/19479832.2010.542893">10.1080/19479832.2010.542893</a>)</p>
Seasonal Effects in Gastrointestinal Parasite Prevalence, Richness and Intensity in Vervet Monkeys Living in a Semi-Arid Environment
<p>Data and R Notebook for Seasonal Effects in Gastrointestinal Parasite Prevalence, Richness and Intensity in Vervet Monkeys Living in a Semi-Arid Environment</p>
Groundwater level data used in the manuscript titled "An explainable Bayesian TimesNet for probabilistic groundwater level prediction with application to semi-arid regions"
<p>The standardized semimonthly groundwater levels collected from 30 monitoring wells in Dalad County, China. The data were obtained from the Ministry of Water Resources of China and the groundwater yearbooks. The data are used in our submitted manuscript titled "An explainable Bayesian TimesNet for probabilistic groundwater level prediction with application to semi-arid regions". If you find this dataset useful for your research, please consider to cite our manuscript upon publication. </p>
Figure 6 in A new species of the troglobitic genus Spelaeogammarus da Silva Brum, 1975 (Amphipoda: Artesiidae) from a cave in the Brazilian semi-arid region, with new records of its congener, Spelaeogammarus spinilacertus Koenemann and Holsinger, 2000
Figure 6.Preserved specimen of Spelaeogammarus spinilacertus Koenemann and Holsinger, 2000 from Buraco do Cão cave, Iraquara municipality, state of Bahia, Brazil (A) and live specimen of S. spinilacertus from Canoa Quebrada cave, municipality of Iraquara, state of Bahia, Brazil (B). Photograph: (A) Luciana B.R. Fernandes, (B) Adriano Gambarini.
Figure 4 in A new species of the troglobitic genus Spelaeogammarus da Silva Brum, 1975 (Amphipoda: Artesiidae) from a cave in the Brazilian semi-arid region, with new records of its congener, Spelaeogammarus spinilacertus Koenemann and Holsinger, 2000
Figure 4. Spelaeogammarus ginae sp. nov., Gruna da Serra Verde cave, Serra do Ramalho, state of Bahia, Brazil. Paratype male, body length 11.31 mm; pleopod 1 (A); pleopod 2 (B); pleopod 3 (C); uropod 1 (D); uropod 2 (E); uropod 3 (F); telson (G). Scale bars: A–F = 1 mm; G = 200 μm. Specimens of Spelaeogammarus ginae sp. nov. were found (C); map indicating the state of Bahia, the Gruna da Serra Verde cave, and the land use and land cover of the area (D). Photographs: M.E. Bichuette.
Figure 2 in A new species of the troglobitic genus Spelaeogammarus da Silva Brum, 1975 (Amphipoda: Artesiidae) from a cave in the Brazilian semi-arid region, with new records of its congener, Spelaeogammarus spinilacertus Koenemann and Holsinger, 2000
Figure 2. Spelaeogammarus ginae sp. nov., Gruna da Serra Verde cave, Serra do Ramalho, state of Bahia, Brazil. Paratype male, body length 11.31 mm; antenna 1 (A); antenna 2 (B); upper lip (C); lower lip (D); maxilla 1 (E); maxilla 2 (F); left mandible (G); right mandible (H); maxilliped (I); simple setae, present in various structures, the last one is more common on the uropods (J); aesthetasc, from antenna 1 (K); multicuspidate seta, from maxilla 1 outer plate (L); plumose setae, from antenna 1, maxilla 1 inner plate, maxilla 2 inner plate, mandibles and maxilliped, maxilliped and gnathopods, pleopods (M); (stout) cuspidate setae with accessory seta, present in various structures, first one more common on gnathopods and last one from telson (N); bifid and trifid setae, from maxilliped inner ramus, mandibles palp, gnathopods and uropod 3, pleopod 7, maxilliped palp (O). Scale bars: A, B = 600 μm; C–I = 200 μm; J–O = enlarged setae to see details.
Figure 5 in A new species of the troglobitic genus Spelaeogammarus da Silva Brum, 1975 (Amphipoda: Artesiidae) from a cave in the Brazilian semi-arid region, with new records of its congener, Spelaeogammarus spinilacertus Koenemann and Holsinger, 2000
Figure 5. Outcrops and pastures close to the Gruna da Serra Verde cave (A); cave gallery in the dry season (B) and detail of the small pool formed by the upper phreatic aquifer, where specimens of Spelaeogammarus ginae sp. nov. were found (C); map indicating the state of Bahia, the Gruna da Serra Verde cave, and the land use and land cover of the area (D). Photographs: M.E. Bichuette.
Figure 3 in A new species of the troglobitic genus Spelaeogammarus da Silva Brum, 1975 (Amphipoda: Artesiidae) from a cave in the Brazilian semi-arid region, with new records of its congener, Spelaeogammarus spinilacertus Koenemann and Holsinger, 2000
Figure 3. Spelaeogammarus ginae sp. nov., Gruna da Serra Verde cave, Serra do Ramalho, state of Bahia, Brazil. Paratype male, body length 11.31 mm; gnathopod 1 (A); gnathopod 2 (B); pereopod 3 (C); pereopod 4 (D); pereopod 5 (E); pereopod 6 (F); pereopod 7 (G). Scale bars: A, B = 400 μm; C–G = 1 mm.
Figure 7 in A new species of the troglobitic genus Spelaeogammarus da Silva Brum, 1975 (Amphipoda: Artesiidae) from a cave in the Brazilian semi-arid region, with new records of its congener, Spelaeogammarus spinilacertus Koenemann and Holsinger, 2000
Figure 7. Lake formed by upper phreatic aquifer at Canoa Quebrada cave (A); small pool of upper phreatic aquifer at Lapa Doce System (B); distribution of Spelaeogammarus spinilacertus Koenemann and Holsinger, 2000, indicating caves with records of the species showing the land use and land cover of the area (C). Caption: LD = Lapa Doce System, GU = Gruta da Umburana cave, LS = Gruta da Lagoa Seca cave, BC = Buraco do Cão cave, CQ = Canoa Quebrada cave, BS = Baixa do Salitre cave, and BJ = Jaburu cave. Photographs: (A) Adriano Gambarini, (B) Jonas E. Gallão.
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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.