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8,729 results for “range”
Contrasting plant adaptation strategies to latitude in the native and invasive range of Spartina alterniflora: geographic survey (2014) and Common garden (2015-2017)
We examined trait differences and evolution across geographic clines among continents of the intertidal grass Spartina alterniflora within its invasive and native ranges. Between September and November 2014, we sampled vegetative and reproductive traits in the field at 20 sites over 20° latitude in China (invasive range) and 28 sites over 17° latitude in the US (native range). We grew both Chinese and US plants in a greenhouse common garden for three years (2015 - 2017) to determine if differences in performance of S. alterniflora between the introduced and native ranges were due to genetic differences or differences in abiotic conditions.
Genetic characterization of 24 Angus × Hereford cows from the Jornada Experimental Range, Las Cruces, NM, USA
The southwestern US is increasingly facing dry and variable climate conditions, requiring beef operations to adopt novel strategies to meet these emerging challenges. One potential approach is the use of locally adapted cattle breeds or biotypes. A distinctive Angus x Hereford (AH) research herd at the USDA Agricultural Research Service Jornada Experimental Range provides an opportunity to explore the genetic makeup of a desert-adapted cattle herd bred for over four decades under the extreme and harsh conditions of New Mexico’s Chihuahuan Desert. The objective of this study was to analyze the population structure, genetic diversity and signatures of selection of the AH research herd (n = 24). All cows were genotyped using a 64K SNP chip. Principal component and admixture analyses confirmed the mixed genetic background of the AH cows, predominantly of Angus ancestry. The heterozygosity level, effective population size, and inbreeding coefficient indicated that the AH cows maintain moderate genetic diversity and inbreeding levels. Genomic regions under positive selection revealed genes and Quantitative Trait Loci associated with beneficial carcass traits, milk composition, fertility, body homeostasis, antioxidant activity, immune response, and terrain utilization. This research herd could potentially serve as a valuable genetic resource for improving the adaptability and productivity of commercial beef cattle in harsh semi-arid and arid environments, balancing hardiness and performance.
Quadrat-based monitoring of desert grassland vegetation at the Jornada Experimental Range, New Mexico, 1915-2016
The data set covers a 101-year period (1915-2016) of quadrat-based plant sampling at the Jornada Experimental Range in southern New Mexico. At each sampling event, a pantograph was used to record the location and perimeter of living plants within permanent quadrats. Basal area was recorded for perennial grass species, canopy cover area was recorded for shrub species, and all other perennial species were recorded as point data. The data set includes 122 1m by 1m permanent quadrats, although not all quadrats were sampled in each year of the study and there is a gap in monitoring from 1980-1995. These data provide a unique opportunity to investigate changes in the plant community over 100 years of variation in precipitation and other environmental conditions. We provide the following data and data formats: (1) the digitized maps in shapefile format; (2) data table containing coordinates (x,y) of perennial species within quadrats, including cover area for grasses and shrubs; (3) data table of counts of annual plant individuals per quadrat; (4) species list indicating growth form and habit of recorded species; (5) table of dates when each quadrat was sampled; (6) table of the pasture each quadrat was located within (note that pasture boundaries have changed over time). Additional data to help characterize plant-scale factors related to vegetation dynamics at the quadrat locations are: (7) data table of depth to caliche layer; (8) data table of soil particle size analysis and sand fractionation; and (9) data table of local and patch topography. This data package was created to support a specific data paper. Data are also available in data packages knb-lter-jrn.210351001, knb-lter-jrn.210351002, and knb-lter-jrn.210351003. Pantograph sampling is currently conducted at 5 year intervals by USDA-ARS staff, and new data will be added to those data packages periodically.
Monthly precipitation data from a network of standard gauges at the Jornada Experimental Range (Jornada Basin LTER) in southern New Mexico, January 1916 - ongoing
This ongoing dataset contains monthly precipitation measurements from a network of standard can rain gauges at the Jornada Experimental Range in Dona Ana County, New Mexico, USA. Precipitation physically collects within gauges during the month and is manually measured with a graduated cylinder at the end of each month. This network is maintained by USDA Agricultural Research Service personnel. This dataset includes 39 different locations but only 29 of them are current. Other precipitation data exist for this area, including event-based tipping bucket data with timestamps, but do not go as far back in time as this dataset.
Jornada Experimental Range (USDA-ARS) annual stocking rates for cattle, horses, and sheep, 1916-2001
This data package contains data on stocking rates for cattle, horses, and sheep on all pastures of the USDA-ARS Jornada Experimental Range beginning in 1916. Grazing goats were infrequent and are therefore included as part of the sheep category. Stocking rates are expressed in animal unit month (AUM), which is based on metabolic weight and average amount of forage needed by each animal unit per month. Total AUM is calculated for each year for each animal unit. This study was completed in 2001 and will not be updated. NOTE: The USDA-ARS discontinued regular updates to this dataset after 2002 because of de-stocking.
Ecophysiological variables of common shrub and grass species during the growing season following simulated sandblasting trials at the Jornada Experimental Range, New Mexico, USA, 2018 and 2019
In this dataset, we report ecophysiological variables of contrasting perennial grass (Bouteloua eriopoda, Sporobolus airoides, and Aristida purpurea) and shrub (Prosopis glandulosa, Atriplex canescens, and Larrea tridentata) functional groups before and after a series of simulated sandblasting events with various intensities and frequencies. We hypothesized that grass species are more susceptible to the resulting "sandblasting" (i.e., abrasive damage by wind-blown particulates) than shrubs, thus contributing to the shift from grass to shrub dominance. To test this, we conducted a wind tunnel experiment at the USDA Jornada Experimental Range in 2018 and 2019 growing seasons. Potted plants were subjected to different levels of sandblasting in a novel portable wind tunnel, and plants’ ecophysiological responses including leaf gas exchange and nighttime leaf stomatal conductance were quantified. All tested plants were then grown in benign greenhouse conditions to investigate plant recovery post sandblasting. This dataset contains data about plant biomass and height, leaf chlorophyll content, leaf gas exchange, stomatal conductance, and water use efficiency (WUE) under the experimental treatments above. This study is complete.
Jornada Basin and Experimental Range Mesquite Herbicide Project (JERHM) Core Methods Data, 2020-2022
This dataset includes contains line-point intercept, plant height, gap, and species inventory data collected over three years (2020-2022) as part of the Jornada Experimental Range Herbicide Mesquite Project (JERHM). Data were collected to assess plant community composition and structural change to herbicide application across a Black grama (Bouteloua eriopoda) grassland to Honey mesquite (Neltuma glandulosa [=Prosopis glandulosa]) shrubland encroachment gradient. Twenty sets of paired, 5-hectare plots (n=40 plots total) were established across a N. glandulosa encroachment gradient in 2020. One plot within each plot pair received an aerial application of herbicide in 2021, with the second plot left untreated by herbicide as a control. Data were collected annually following the following the Monitoring Manual for Grassland, Shrubland, and Savanna Ecosystems (Herrick et al. 2017) on each of three, 50m permanent transects established on each plot. These data are also available within the Landscape Data Commons (https://landscapedatacommons.org/) under ProjectKey=Jornada_JERHM. There are no immediate plans to continue data collection.
PIE LTER time series of nutrient grab samples from Ipswich River and Parker River watershed catchments, Masachusetts, with frequency ranging from weekly to monthly between 2001 and 2019.
Time series of nutrient grab samples collected by hand (i.e. not with the Sigma autosampler) with frequency ranging from weekly to monthly between 2001 and 2016. Sites include three headwater catchments of contrasting land use (forest, urban, wetland), and the mouth of the two main watersheds draining to the Plum Island Estuary (Ipswich and Parker R.). An additional time series was collected for a site in the Upper Ipswich at North Reading and at Fish Br. in Boxford – this sampling was ended in 2002. All Samples were analysed for NO3, NO2, NH4, PO4, TDN and DOC. Si was analyzed until 2002. Particulates, anions and TSS have been analyzed since 2006.
Free-field sensitivity of four electro-acoustic measuring chains at 0° incidence angle in the frequency range 0.25 kHz to 100 kHz
<p>This dataset contains calibration data of the free-field sensitivity of four electro-acoustic measuring chains at 0° incidence angle in the frequency range 0.25 kHz to 100 kHz. Each of the four channels consisted of a ¼'' externally polarized free-field measurement microphone of the condenser type GRAS 40 BF, a ¼'' preamplifier GRAS 26AC, a power module GRAS 12AQ and an FFT analyzer Ono Sokki CF-9400. The calibration data was acquired in the laboratory of the Physikalisch-Technische Bundesanstalt (PTB).</p>
Optimal neutron-star mass ranges to constrain the equation of state of nuclear matter with electromagnetic and gravitational-wave observations: EOS library
<p>This repository includes a library of equations of state (EOS) and stellar models presented in the publications Weih et al. (2019) (see also the related identifier) and Most et al. (2018). The library includes ~ 3 Million physically plausible EOSs that fulfill a number of astrophysical and nuclear constraints. See the README for more information. </p>
liampshaw/Pathogen-host-range: Pathogen-host-range initial code release
<p>Release of code and dataset for publication of associated paper: "The phylogenetic range of bacterial and viral pathogens of vertebrates" (doi: 10.1111/mec.15463).</p>
Taming the fixed-node error in diffusion Monte Carlo via range separation
<p>Suplementary information.</p> <p>Contains the org-mode computational notebook with all the input data (geometries, basis sets, pseudo-potentials) and output data (computed energies, densities, number of determinants) related to the article.</p> <p>A csv file is created by the notebook and an HTML export of the notebook is also provided.</p>
X-ray light-field - Small branch - 1 deg angular range
<p>X-ray light-field of a small branch, taken with the FleX-ray scanner, in the Computational Imaging group of CWI (Amsterdam).</p> <p>Angular range is ~1 degree, panel pixel size ~150 um.</p> <p>This bundle includes:</p> <ul> <li> <pre><code>light-field_corrected.vox</code></pre> Light-field in the VOX v0 data format (based on HDF5). Any HDF5 reader can open it. Native support is available here: <a href="https://github.com/cicwi/plenoptomos">https://github.com/cicwi/plenoptomos</a>. The image floating point precision is FP32.</li> <li> <pre><code>light-field_acquisition_rawdata.tbz </code></pre> <p>Light-field acquisition raw data, archived with Tar and Bzip2. It contains TIF images as projections, dark-field and flat-field. The ini and txt files provide information about the scan (motor positions, etc).</p> </li> <li> <pre><code>tomo_acquisition_rawdata.tbz</code></pre> Tomographic acquisition raw data, archived with Tar and Bzip2. It contains TIF images as projections, dark-field and flat-field. The ini and txt files provide information about the scan (motor positions, angles, etc).</li> <li> <pre><code>tomo_reconstruction_and_segmentation.h5</code></pre> <p>Tomographic reconstruction of the raw data, in HDF5. Any HDF5 reader can open it. It contains two self-descriptive datasets: "volume" and "segmentation".</p> </li> </ul>
X-ray light-field - Gel bubbles - 1 deg angular range
<p>X-ray light-field of bubbles in hair gel, taken with the FleX-ray scanner, in the Computational Imaging group of CWI (Amsterdam).</p> <p>Angular range is ~1 degree, panel pixel size ~150 um.</p> <p>This bundle includes:</p> <ul> <li> <pre><code>light-field_corrected.vox</code></pre> Light-field in the VOX v0 data format (based on HDF5). Any HDF5 reader can open it. Native support is available here: <a href="https://github.com/cicwi/plenoptomos">https://github.com/cicwi/plenoptomos</a>. The image floating point precision is FP32. The images have been back-ground subtracted.</li> <li> <pre><code>light-field_acquisition_rawdata.tbz </code></pre> <p>Light-field acquisition raw data, archived with Tar and Bzip2. It contains TIF images as projections, dark-field and flat-field. The ini and txt files provide information about the scan (motor positions, etc).</p> </li> <li> <pre><code>tomo_acquisition_rawdata.tbz</code></pre> Tomographic acquisition raw data, archived with Tar and Bzip2. It contains TIF images as projections, dark-field and flat-field. The ini and txt files provide information about the scan (motor positions, angles, etc).</li> <li> <pre><code>tomo_reconstruction_and_segmentation.h5</code></pre> <p>Tomographic reconstruction of the raw data, in HDF5. Any HDF5 reader can open it. It contains two self-descriptive datasets: "volume" and "segmentation".</p> </li> </ul>
Evolutionary coupling range varies widely among enzymes: data and code
<p>Data and code needed to reproduce result of the paper "Evolutionary coupling range varies widely among enzymes", by J. Echave.</p> <p>biorxiv: https://doi.org/10.1101/2020.12.19.423588</p>
Lipschitz quaternions in the range [−10, 10]^4, which induce bijective 3D digitized rotations
<p>The file contains Lipschitz quaternions in the range [−10, 10]^4, such that they induce bijective 3D digitized rotations. It is a comma-separated values file format such that each line contains a different quaternion. This is an updated version which contains 576 more quaternions with respect to the previous version. These 576 quaternions where previously certified as ones which do not lead to bijective digitized rotations due to a bug in the used implementation of the algorithm described in:</p> <p>Pluta K., Romon P., Kenmochi Y., Passat N. (2016) Bijectivity Certification of 3D Digitized Rotations. In: Bac A., Mari JL. (eds) Computational Topology in Image Context. CTIC 2016. Lecture Notes in Computer Science, vol 9667. Springer, pp 30-41, doi:10.1007/978-3-319-39441-1_4</p> <p> </p> <p><strong>Acknowledgements:</strong><br> Special thanks for Victor Ostromoukhov and David Cœurjolly of University of Lyon 1, LIRIS, France, for finding the bug.</p>
Dataset and plot generation script for article "Probabilistic short-range forecasts of high precipitation events : optimal decision thresholds and predictability limits" by Francois Bouttier and Hugo Marchal, submitted in Dec 2023.
<p>Dataset and plot generation script for article "Probabilistic short-range forecasts of high precipitation events : optimal decision thresholds and predictability limits" by Francois Bouttier and Hugo Marchal, submitted in NHESS journal in Dec 2023.</p> <p>For further technical details read the file READMEdata in the zipfile. The script MAKEFIG remakes all the figures from the data.</p> <p>For scientific details read the associated article preprint on the NHESS egusphere website.</p>
Range expansion is slower and more variable with rapid evolution across a spatial gradient in temperature
<p><span>Rapid evolution in colonizing populations can alter our ability to predict future range expansions. Recent theory suggests that the dynamics of replicate range expansions are less variable, and hence more predictable, with increased selection at the expanding range front. Here, we test whether selection from environmental gradients across space produces more consistent range expansion speeds, using the experimental evolution of replicate duckweed populations colonizing landscapes with and without a temperature gradient. We found that range expansion across a temperature gradient was slower on average, with range-front populations displaying higher population densities, and genetic signatures and trait changes consistent with directional selection. Despite this, we found that with a spatial gradient range expansion speed became more variable and less consistent among replicates over time. Our results therefore challenge current theory, highlighting that chance can still shape the genetic response to selection to influence our ability to predict range expansion speeds.</span></p>
HALOC Dataset | WiFi CSI-based Long-Range Person Localization Using Directional Antennas
<p><strong>WiFi CSI-based Long-Range Person Localization Using Directional Antennas</strong></p> <p>This repository contains the HAllway LOCalization (HALOC) dataset and WiFi system CAD files as proposed in <a href="https://openreview.net/forum?id=AOJFcEh5Eb" target="_blank" rel="noopener">[1]</a>.</p> <p><strong>PyTroch Dataloader</strong></p> <p>A minimal PyTorch dataloader for the HALOC dataset is provided at: <a href="https://github.com/StrohmayerJ/HALOC" target="_blank" rel="noopener">https://github.com/StrohmayerJ/HALOC</a></p> <p><strong>Dataset Description</strong></p> <p>The HALOC dataset comprises six sequences (in .csv format) of synchronized WiFi Channel State Information (CSI) and 3D position labels. Each row in a given .csv file represents a single WiFi packet captured via ESP-IDF, with CSI and 3D coordinates stored in the "data" and ("x", "y", "z") fields, respectively.</p> <p>The sequences are divided into training, validation, and test subsets as follows:</p> <table> <tbody> <tr> <td><strong>Subset</strong></td> <td><strong>Sequences</strong></td> </tr> <tr> <td>Training</td> <td>0.csv, 1.csv, 2.csv and 3.csv</td> </tr> <tr> <td>Validation</td> <td>4.csv</td> </tr> <tr> <td>Test</td> <td>5.csv</td> </tr> </tbody> </table> <p> </p> <p><strong>WiFi System CAD files</strong></p> <p>We provide CAD files for the 3D printable parts of the proposed WiFi system consisting of the main housing (housing.stl), the lid (lid.stl), and the carrier board (carrier.stl) featuring mounting points for the Nvidia Jetson Orin Nano and the ESP32-S3-DevKitC-1 module. </p> <p><strong>Download and Use</strong><br>This data may be used for non-commercial research purposes only. If you publish material based on this data, we request that you include a reference to our paper [1].</p> <p>[1] Strohmayer, J., and Kampel, M. (2024). “WiFi CSI-based Long-Range Person Localization Using Directional Antennas”, <em>The Second Tiny Papers Track at ICLR 2024</em>, May 2024, Vienna, Austria. <a href="https://openreview.net/forum?id=AOJFcEh5Eb" target="_blank" rel="noopener">https://openreview.net/forum?id=AOJFcEh5Eb</a></p> <p>BibTeX citation:</p> <pre>@inproceedings{<br>strohmayer2024wifi,<br>title={WiFi {CSI}-based Long-Range Person Localization Using Directional Antennas},<br>author={Julian Strohmayer and Martin Kampel},<br>booktitle={The Second Tiny Papers Track at ICLR 2024},<br>year={2024},<br>url={https://openreview.net/forum?id=AOJFcEh5Eb}<br>}</pre>
Nanoparticle clustering in supraparticles to control magnetic long-range interactions
<p>This data publication is based on the metadata and datasets underlying the manuscript: Nanoparticle clustering in supraparticles to control magnetic long-range interactions</p> <p>To tailor superparamagnetic iron oxide nanoparticles (SPIONs) to the specific needs of diverse application fields, it is essential to understand not only their intrinsic properties but also their interactions with each other. Theoretical models predicting/explaining the magnetization behavior of macroscopic samples containing millions of SPIONs are intricate due to the complexity of the underlying relaxation mechanisms in alternating fields. This study introduces supraparticles (SPs) as model architectures to empirically investigate magnetic interactions within and between large SPION clusters (> 100 nanoparticles). For this purpose, nanoparticle dispersions containing SPIONs and silica nanoparticles (SiO<sub>2</sub> NPs) as non‐magnetic building blocks are spray‐dried to form binary SPs. Selective salt‐induced agglomeration of the two building block types before spray‐drying is utilized to tailor SP architectures, including control over SPION cluster size, shape, and proximity. Magnetic particle spectroscopy (MPS), operating under ambient conditions, reveals altered magnetization behavior for different cluster structures. Not only the nearest SPION neighbors, but the whole cluster structure up to several micrometers is decisive for the magnetization behavior. This highlights the importance of long‐range magnetic interactions. This work presents a versatile approach for designing model architectures to advance empirical interaction studies between SPIONs in macroscopic samples.</p>
ScienceDex guides
Understand access before you commit
These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
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.