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3,145 results for “Well Being”
Virginia Coast Reserve site, station Randomly selected, destructively sampled, non-treated plots at Frank Day Well Location R4, Hog Island, study of plant biomass of Solanum carolinense in units of gramsPerSquareMeter on a yearly timescale
The EcoTrends project was established in 2004 by Dr. Debra Peters (Jornada Basin LTER, USDA-ARS Jornada Experimental Range) and Dr. Ariel Lugo (Luquillo LTER, USDA-FS Luquillo Experimental Forest) to support the collection and analysis of long-term ecological datasets. The project is a large synthesis effort focused on improving the accessibility and use of long-term data. At present, there are ~50 state and federally funded research sites that are participating and contributing to the EcoTrends project, including all 26 Long-Term Ecological Research (LTER) sites and sites funded by the USDA Agriculture Research Service (ARS), USDA Forest Service, US Department of Energy, US Geological Survey (USGS) and numerous universities. Data from the EcoTrends project are available through an exploratory web portal (http://www.ecotrends.info). This web portal enables the continuation of data compilation and accessibility by users through an interactive web application. Ongoing data compilation is updated through both manual and automatic processing as part of the LTER Provenance Aware Synthesis Tracking Architecture (PASTA). The web portal is a collaboration between the Jornada LTER and the LTER Network Office. The following dataset from Virginia Coast Reserve (VCR) contains plant biomass of Solanum carolinense measurements in gramsPerSquareMeter units and were aggregated to a yearly timescale.
Virginia Coast Reserve site, station Randomly selected, destructively sampled, non-treated plots at Frank Day Well Location R4, Hog Island, study of plant biomass of Spartina patens in units of gramsPerSquareMeter on a yearly timescale
The EcoTrends project was established in 2004 by Dr. Debra Peters (Jornada Basin LTER, USDA-ARS Jornada Experimental Range) and Dr. Ariel Lugo (Luquillo LTER, USDA-FS Luquillo Experimental Forest) to support the collection and analysis of long-term ecological datasets. The project is a large synthesis effort focused on improving the accessibility and use of long-term data. At present, there are ~50 state and federally funded research sites that are participating and contributing to the EcoTrends project, including all 26 Long-Term Ecological Research (LTER) sites and sites funded by the USDA Agriculture Research Service (ARS), USDA Forest Service, US Department of Energy, US Geological Survey (USGS) and numerous universities. Data from the EcoTrends project are available through an exploratory web portal (http://www.ecotrends.info). This web portal enables the continuation of data compilation and accessibility by users through an interactive web application. Ongoing data compilation is updated through both manual and automatic processing as part of the LTER Provenance Aware Synthesis Tracking Architecture (PASTA). The web portal is a collaboration between the Jornada LTER and the LTER Network Office. The following dataset from Virginia Coast Reserve (VCR) contains plant biomass of Spartina patens measurements in gramsPerSquareMeter units and were aggregated to a yearly timescale.
Virginia Coast Reserve site, station Randomly selected, destructively sampled, non-treated plots at Frank Day Well Location R4, Hog Island, study of plant biomass of Strophostyles helvola (amberique-bean) in units of gramsPerSquareMeter on a yearly timescale
The EcoTrends project was established in 2004 by Dr. Debra Peters (Jornada Basin LTER, USDA-ARS Jornada Experimental Range) and Dr. Ariel Lugo (Luquillo LTER, USDA-FS Luquillo Experimental Forest) to support the collection and analysis of long-term ecological datasets. The project is a large synthesis effort focused on improving the accessibility and use of long-term data. At present, there are ~50 state and federally funded research sites that are participating and contributing to the EcoTrends project, including all 26 Long-Term Ecological Research (LTER) sites and sites funded by the USDA Agriculture Research Service (ARS), USDA Forest Service, US Department of Energy, US Geological Survey (USGS) and numerous universities. Data from the EcoTrends project are available through an exploratory web portal (http://www.ecotrends.info). This web portal enables the continuation of data compilation and accessibility by users through an interactive web application. Ongoing data compilation is updated through both manual and automatic processing as part of the LTER Provenance Aware Synthesis Tracking Architecture (PASTA). The web portal is a collaboration between the Jornada LTER and the LTER Network Office. The following dataset from Virginia Coast Reserve (VCR) contains plant biomass of Strophostyles helvola (amberique-bean) measurements in gramsPerSquareMeter units and were aggregated to a yearly timescale.
Virginia Coast Reserve site, station Randomly selected, destructively sampled, non-treated plots at Frank Day Well Location R4, Hog Island, study of plant biomass in units of gramsPerSquareMeter on a yearly timescale
The EcoTrends project was established in 2004 by Dr. Debra Peters (Jornada Basin LTER, USDA-ARS Jornada Experimental Range) and Dr. Ariel Lugo (Luquillo LTER, USDA-FS Luquillo Experimental Forest) to support the collection and analysis of long-term ecological datasets. The project is a large synthesis effort focused on improving the accessibility and use of long-term data. At present, there are ~50 state and federally funded research sites that are participating and contributing to the EcoTrends project, including all 26 Long-Term Ecological Research (LTER) sites and sites funded by the USDA Agriculture Research Service (ARS), USDA Forest Service, US Department of Energy, US Geological Survey (USGS) and numerous universities. Data from the EcoTrends project are available through an exploratory web portal (http://www.ecotrends.info). This web portal enables the continuation of data compilation and accessibility by users through an interactive web application. Ongoing data compilation is updated through both manual and automatic processing as part of the LTER Provenance Aware Synthesis Tracking Architecture (PASTA). The web portal is a collaboration between the Jornada LTER and the LTER Network Office. The following dataset from Virginia Coast Reserve (VCR) contains plant biomass measurements in gramsPerSquareMeter units and were aggregated to a yearly timescale.
Virginia Coast Reserve site, station Plots at Frank Day Well Location R4, Hog Island, study of plant biomass in units of gramsPerSquareMeter on a yearly timescale
The EcoTrends project was established in 2004 by Dr. Debra Peters (Jornada Basin LTER, USDA-ARS Jornada Experimental Range) and Dr. Ariel Lugo (Luquillo LTER, USDA-FS Luquillo Experimental Forest) to support the collection and analysis of long-term ecological datasets. The project is a large synthesis effort focused on improving the accessibility and use of long-term data. At present, there are ~50 state and federally funded research sites that are participating and contributing to the EcoTrends project, including all 26 Long-Term Ecological Research (LTER) sites and sites funded by the USDA Agriculture Research Service (ARS), USDA Forest Service, US Department of Energy, US Geological Survey (USGS) and numerous universities. Data from the EcoTrends project are available through an exploratory web portal (http://www.ecotrends.info). This web portal enables the continuation of data compilation and accessibility by users through an interactive web application. Ongoing data compilation is updated through both manual and automatic processing as part of the LTER Provenance Aware Synthesis Tracking Architecture (PASTA). The web portal is a collaboration between the Jornada LTER and the LTER Network Office. The following dataset from Virginia Coast Reserve (VCR) contains plant biomass measurements in gramsPerSquareMeter units and were aggregated to a yearly timescale.
Monthly depth to groundwater from wells in the shallow aquifer of the Rio Grande flood plain (Bosque) in New Mexico, USA: 1997-2020
Bosque Ecosystem Monitoring Program(BEMP). BEMP is a partnership between Bosque School, Sevilleta Long Term Ecological Research Station, and the University of New Mexico. Five wells at each BEMP site (33 in total) are used to measure depth to groundwater, which plays a critical role in cottonwood and other vegetation health and are also important to understanding water cycle and evapotranspiration dynamics.
Supporting codes, data, and outputs to identify a type of lithofacies from rock-core digital photographs and to classify the lithofacies from well-log data
<p>This repository contains the codes and the data used in the study “Interpreting the Subsurface Lithofacies at High Lithological Resolution by Integrating Information from Well-log Data and Rock-core Digital Photographs”. The codes are used to identify the lithofacies type from rock-core digital photographs (clustering) and to predict the lithofacies from geophysical well-log data (classification). The lithofacies identification process, including feature extraction and clustering, was encoded by MATLAB, and the classification model was encoded by TensorFlow to construct a neural network-based classification model. </p>
Subspecies and Distribution. R. a. acuminatus Peters, 1871 - Krakatau I andJava. R. a. audax K. Andersen, 1905 — Bali and Lombok Is. . a. calypso K. Andersen, 1905 — Enggano I. R. a. circe K. Andersen, 1906 — Nias I. R. a. sumatranus K Andersen, 1905 - W Sumatra and N Borneo. Subspecific identity of mainland populations in SE Asia, as well as the Philippines (Negros, Busuanga, Palawan, and Balabac Is) is uncertain, although mainland populations resemble individuals fromJava or Lombok. in Rhinolophidae
Subspecies and Distribution. R. a. acuminatus Peters, 1871 - Krakatau I andJava. R. a. audax K. Andersen, 1905 — Bali and Lombok Is. . a. calypso K. Andersen, 1905 — Enggano I. R. a. circe K. Andersen, 1906 — Nias I. R. a. sumatranus K Andersen, 1905 - W Sumatra and N Borneo. Subspecific identity of mainland populations in SE Asia, as well as the Philippines (Negros, Busuanga, Palawan, and Balabac Is) is uncertain, although mainland populations resemble individuals fromJava or Lombok.
Distribution. Philippines on Batan, Sabtang, Calayan, Luzon, Lubang, Mindoro, Tablas, Sibuyan, Catanduanes, Gigantes, Maripipi, Leyte, Panay, Negros, Cebu, Camotes, Bohol, Camiguin, Mindanao, Busuanga, Palawan, Dondonay, andjolo Is; probably throughout the other islands of the archipelago as well. in Rhinolophidae
Distribution. Philippines on Batan, Sabtang, Calayan, Luzon, Lubang, Mindoro, Tablas, Sibuyan, Catanduanes, Gigantes, Maripipi, Leyte, Panay, Negros, Cebu, Camotes, Bohol, Camiguin, Mindanao, Busuanga, Palawan, Dondonay, andjolo Is; probably throughout the other islands of the archipelago as well.
Analysis of well water level response to atmospheric loading from low- to high-frequency band
<p>Data used in manuscript "Analysis of well water level response to atmospheric loading from low- to high-frequency band"</p>
Taranaki Basin Curated Well Logs
<p>Machine learning (ML) models are being widely used in the geosciences for various tasks involving well log data, including prediction of missing well log curves, picking of stratigraphic surfaces, facies classification, and segmentation of different rock types. Even though various ML applications have been proposed in the literature, it is difficult to reproduce and advance the prior art without having access to the data and preprocessing steps used. In fact, there is an increasing need for benchmark cases to assess past and future solutions. The present dataset integrates well log data curated from the 2016 New Zealand Petroleum Exploration Public Data Pack.</p>
InSAR stack of the 2008 Wells, Nevada earthquake from Envisat descending track 399 processed with Gamma
<p>A stack of unwrapped interferograms on Wells, Nevada for the <a href="https://earthquake.usgs.gov/earthquakes/eventpage/nn00234425/executive">2008 Wells earthquake</a>.</p> <p>Sensor: Envisat ASAR descending track 399 frame 2871</p> <p>Time: 2007.07.09 - 2008.09.01, 11 acquisitions, 51 interferograms</p> <p>Processor: GAMMA</p> <p>A minimum coherence of 0.3 is chosen during phase unwrapping, thus the low coherent pixels are assigned the zero phase value (green in the unwrapPhase_wrap.png).</p> <p>Tropospheric delay estimated from ERA-5 using PyAPS is attached.</p> <p>This is an input dataset for the time series analysis with <a href="https://github.com/insarlab/MintPy">MintPy</a>.</p>
Permeability of Neotropical agricultural lands to a key native ungulate – are well-connected forests important?
<p>Much of what remains of the Earth's tropical forests is embedded within agricultural landscapes, where forest is reduced and fragmented. As native forest ungulates are critical to maintaining forest function, it is imperative to understand how this functional group responds to declines in forest cover and connectivity resulting from agricultural expansion. We addressed this issue by evaluating selection of forest cover and forest connectivity by a key native ungulate of Neotropical forests, the white-lipped peccary (<i>Tayassu pecari </i>Link 1795<i>, </i>Tayassuidae, Cetartiodactyla), in agricultural landscapes of Brazil. We evaluated selection using compositional analysis at two hierarchical levels, landscape and home range. From 2013 to 2019, we GPS-tracked eight white-lipped peccary herds in Southwest Brazil, resulting in a total of 14,460 GPS locations. We found that herds can live in landscapes with a wide range of forest cover (35-81% of home ranges covered by native forest), with significant, but not strong, selection at the landscape level (p = 0.045). Nevertheless, herds strongly select for forest cover within their home ranges (81-97% of locations within native forest; highly significant selection at the home-range level: p = 0.008). As for connectivity, herds significantly select the largest, most connected forest fragments at the landscape level (p=0.04), but not at the home-range level (p=0.07). Our results support that Neotropical forests within agricultural landscapes need to be well-connected in order to preserve this key native ungulate, and maintain long-term forest function.</p>
Seed images of the rice Global MAGIC population grown under drought (DS) and well-watered (WW) conditions
<p>Rice seed images taken using a desktop scanner (Epson Perfection V600 Photo Scanner, Epson America). In the repository, there are three folders:</p> <p>- DS - includes all images from drought-stressed individuals;</p> <p>- WW - includes all images from individuals grown under well-watered conditions;</p> <p>- REDO - include images taken a second time from a subset of 107 samples selected randomly from the DS and WW groups. </p> <p>These images were processed using the code available at https://zenodo.org/record/4156942#.X5savYhKhik.</p>
................................................................................................................................................. Fig. 3. SDSPAGE analysis of total bacterial protein extracts of the four roe deer isolates as well as other Bartonella species. Extracts of total bacterial protein were separated by SDSPAGE and stained with Coomassie brilliant blue. Lanes: M, molecular mass markers; 1, R1T; 2, R3; 3, R4; 4, R6; 5, Bartonella henselae; 6, Bartonella quintana; 7, Bartonella bacilliformis; 8, Bartonella elizabethae; 9, Bartonella clarridgeiae; 10, Bartonella alsatica; 11, Bartonella tribocorum; 12, Bartonella grahamii. in Bartonella schoenbuchii sp. nov., isolated from the blood of wild roe deer.
................................................................................................................................................. Fig. 3. SDSPAGE analysis of total bacterial protein extracts of the four roe deer isolates as well as other Bartonella species. Extracts of total bacterial protein were separated by SDSPAGE and stained with Coomassie brilliant blue. Lanes: M, molecular mass markers; 1, R1T; 2, R3; 3, R4; 4, R6; 5, Bartonella henselae; 6, Bartonella quintana; 7, Bartonella bacilliformis; 8, Bartonella elizabethae; 9, Bartonella clarridgeiae; 10, Bartonella alsatica; 11, Bartonella tribocorum; 12, Bartonella grahamii.
Complete set of raw and processed datasets, as well as associated Jupyter notebooks for analysis, associated with manuscript entitled: "The MOUSE project: a practical approach for obtaining traceable, wide-range X-ray scattering information"
<p>This dataset is a complete set of raw, processed and analyzed data, complete with Jupiter notebooks, associated with the manuscript mentioned in the title. </p> <p>In the manuscript, we provide a ``systems architecture''-like overview and detailed discussions of the methodological and instrumental components that, together, comprise the "MOUSE" project (<strong>M</strong>ethodology <strong>O</strong>ptimization for <strong>U</strong>ltrafine <strong>S</strong>tructure <strong>E</strong>xploration). Through this project, we aim to provide a comprehensive methodology for obtaining the highest quality X-ray scattering information (at small and wide angles) from measurements on materials science samples. </p>
Irrigation well water in Nebraska: essential nutrient contents and other properties
<p>Water nutrient concentrations and other properties were surveyed by sampling water from 642 irrigation wells in Nebraska. The amount of Ca, Mg, S, Cl, and B applied in irrigation exceeds removal in 15 Mg ha<sup>-1</sup> of corn (<i>Zea mays</i> L.) grain harvest for most wells. Irrigation supply exceeded corn grain harvest removal of K, Mn and Mo for >20% of the wells. The supply of P, Zn, Cu, Fe, and Mo was generally very low but sufficient with some wells to be considered in nutrient management plans. The median level of nitrate N was 4.4 ppm with 25% of the wells having >10 ppm NO<sub>3</sub>-N which is above the suitability limit for human consumption. The agricultural lime equivalent applied with one or two ML of irrigation was enough to neutralize the acidifying effect of 200 kg ha<sup>-1</sup> of fertilizer-N for 70% or 89% of the wells. Nutrient and lime supply was relatively low for Sandhills wells and relatively high for wells in river valleys of <100 ft depth. No wells had excessive Na levels but 0.3% of the wells had salinity levels of concern. A grouping of wells into 11 aquifer, geological formation and well-depth combinations accounted for >20% of the variation for most water properties but much variation occurred within groups. Sampling of the well water is needed for full optimization of nutrient and soil management. Information on nutrients supplied through irrigation should be complemented by regular soil testing and the use of recommended nutrient management guidelines.</p>
Epidemiological data of well water study
<p>This contains epidemiological data of 10 wells situated in Anuradhapura Sri Lanka. Water of these wells were tested for leptospirosis.</p>
Data from: Geologic and geomorphic controls on rockfall hazard: how well do past rockfalls predict future distributions?
To evaluate the geospatial hazard relationships between recent (contemporary) rockfalls and their prehistoric predecessors, we compare the locations, physical characteristics, and lithologies of rockfall boulders deposited during the 2010-2011 Canterbury earthquake sequence (CES) (n=185) with those deposited prior to the CES (n=1093). Population ratios of pre-CES to CES boulders at two study sites vary spatially from ~5:1 to 8.5:1. This is interpreted to reflect (i) variations in CES rockfall flux due to intra- and inter-event spatial differences in ground motions (e.g. directionality) and associated variations in source cliff responses, (ii) possible variations in the triggering mechanism(s), frequency, flux, record duration, boulder size distributions, and post-depositional mobilization of pre-CES rockfalls relative to CES rockfalls, and (iii) geological variations in the source cliffs of CES and pre-CES rockfalls. On interfluves, CES boulders traveled approximately 100 to 250 m further downslope than prehistoric (pre-CES) boulders, interpreted to reflect reduced resistance to CES rockfall transport due to preceding anthropogenic hillslope de-vegetation. Volcanic breccia boulders are more dimensionally equant, rounded, larger, and traveled further downslope than coherent lava boulders, illustrating clear geological control on rockfall hazard. In valley bottoms, the furthest-traveled pre-CES boulders are situated further downslope than CES boulders due to (i) remobilization of pre-CES boulders by post-depositional processes such as debris flows, and (ii) reduction of CES boulder velocities and travel distances by collisional impacts with pre-CES boulders. A considered earth-systems approach is required when using preserved distributions of rockfall deposits to predict the severity and extents of future rockfall events.
Data from: Ecological drivers of jellyfish blooms – the complex life history of a 'well-known' medusa (Aurelia aurita)
<ol> <li>Jellyfish blooms are conspicuous demographic events with significant ecological and socio-economic impact. Despite worldwide concern about an increased frequency and intensity of such mass occurrences, predicting their booms and busts remains challenging.</li> <li>Forecasting how jellyfish populations may respond to environmental change requires considering their complex life histories. Metagenic life cycles, which include a benthic polyp stage, can boost jellyfish mass occurrences via asexual recruitment of pelagic medusae.</li> <li>Here we present stage-structured matrix population models with monthly, individual-based demographic rates of all life stages of the moon jellyfish <i>Aurelia aurita</i> L. (<em>sensu stricto</em>). We investigate the life stage-dynamics of these complex populations under low and high food conditions to illustrate how changes in medusa density depend on non-medusa stage dynamics.</li> <li>We show that increased food availability can be an important ecological driver of jellyfish mass occurrences, as it can temporarily shift the population structure from polyp- to medusa- dominated. Projecting populations for a winter warming scenario enhanced the booms and busts of jellyfish blooms.</li> <li>We identify demographic key variables that control the intensity and frequency of jellyfish blooms in response to environmental drivers such as habitat eutrophication and climate change. By contributing to an improved understanding of mass occurrence phenomena, our findings provide perspective for future management of ecosystem health.</li> </ol>
ScienceDex guides
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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.