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51 results for “water well”
Water Chemistry and Well Levels at Upper Bigelow Brook, Harvard Forest 2009-2010
This dataset is the result of a full year of high-resolution monitoring of hydrologic event-driven export of stream dissolved organic matter from the Upper Pipe site on Bigelow Brook at Harvard Forest. In situ measurements of fluorescent dissolved organic matter (FDOM) and conductivity were collected from October of 2009 to December of 2010. Grab samples of water were collected during hydrological events and analyzed using standard methods for dissolved organic matter, nitrate, ammonium, and dissolved organic nitrogen. Water level measurements in wells at this study site were initiated in May of 2010.
Ground water levels for 964 monitoring wells in Wisconsin, 1929 - 2015
This dataset contains the daily groundwater level observations and other monitoring well attributes in Wisconsin. It covers 964 groundwater level monitoring wells and has 400,812 observations. The time span of this dataset is between February 2nd, 1929 and December 31st, 2015. The data sources include United States Geological Survey (USGS), Wisconsin Department of Natural Resources (WDNR), University of Wisconsin Extension, counties in Central Sands area, and North Temperate Lakes - Long-Term Ecological Research (NTL-LTER). The data compilation consists of three major steps. First, the data were retrieved from different data sources. Then the data from different sources were pooled together. No well was monitored by more than one entity so none of the wells’ records were merged. Third, two rounds of quality assurance and quality control (QAQC) were conducted. Wells in confined aquifers were not included in this dataset. The values of the USGS and Central Sands data are the depth to the water whereas LTER values are mean sea level elevations of the groundwater levels. These data could not be directly compared with each other. This data compilation was funded by the Wisconsin Groundwater Joint Solicitation.
Marcell Experimental Forest 30-minute water table elevation and temperature from transects of wells in the S2 and S6 peatlands, 2018-ongoing
This data publication contains 30-minute water table elevation and temperature data collected along bog to lagg transects within two watersheds at the Marcell Experimental Forest (MEF) in Itasca County, Minnesota. The bog to lagg transects are located on the north and south sides of S2 and S6 peatlands and contain three surface water wells each. The water table elevations provide information to calculate the hydraulic gradients that drive flow to and from the bogs. The collection of these data was funded by the US Department of Energy. The research program at Marcell Experimental Forest is managed by the USDA Forest Service Northern Research Station.
Continuous groundwater well temperature, salinity and water level measurements at the GCE-LTER Seawater Addition Long-Term Experiment (SALTEx) site from May 2014 to February 2018
The Georgia Coastal Ecosystems LTER Seawater Addition Long-Term Experiment (SALTEx) is a large-scale field experiment designed to simulate saltwater intrusion in a tidal freshwater wetland to predict how chronic (Press) and acute (Pulse) salinization will affect this and other tidal freshwater ecosystems. In order to characterize groundwater salinity, temperature, and plot flooding following experimental manipulation, unvented water pressure, temperature and conductivity were continuously measured in a PVC groundwater well installed at the SALTEx site. Measurements were made at the bottom of the well using a submerged Schlumberger CTD-Diver logger every 15 minutes from 30-May-2014 to 14-Feb-2018. In February 2016 a second CTD-Diver was deployed near the top of the well. Data were downloaded from the loggers using Diver Office communication software, then imported into MATLAB for post-processing, quality control and documentation. Raw, unvented pressure readings were corrected for atmospheric pressure and sensor height from the bottom of the well to generate corrected pressure readings, then water level, salinity and density were calculated from the measured variables using UNESCO algorithms. These data were collected as part of the Georgia Coastal Ecosystems LTER SALTEx project (http://gce-lter.marsci.uga.edu/public/app/send_project_eml.asp?id=73), and will be updated annually.
Data from “A Mixed Method Approach to Understanding the Public Health Impact of a School-Based Citizen Science Program to Reduce Arsenic in Private Well Water”
Objectives We have approached the problem of low well water testing rates in Maine and New Hampshire communities by developing the All About Arsenic (AAA) project, which engages secondary school teachers and students as citizen scientists in collecting well water samples for analysis of arsenic and other toxic metals and supports their outreach efforts to their communities. Methods We assessed this project’s public health impact by analyzing student data relative to existing well water quality datasets in both states. In addition, we surveyed private well owners who contributed well water samples to the project to determine the actions taken to mitigate arsenic in well water. Data The data presented here are used in the analyses performed for the publication: "A Mixed Method Approach to Understanding the Public Health Impact of a School-Based Citizen Science Program to Reduce Arsenic in Private Well Water.” Additional data may be available at: The Anecdata Project Page: https://anecdata.org/projects/view/299 The project website: https://www.allaboutarsenic.org/
Hubbard Brook Experimental Forest: Watershed 3 well water level recordings, 2007 - ongoing
This dataset consists of groundwater levels measured within wells distributed across Watershed 3 at Hubbard Brook Experimental Forest from 2007-2020. Water levels are expressed as a depth (cm) from the soil surface. This dataset is a part of a larger project aimed at explaining the spatial and temporal variation in stream water chemistry at the headwater catchment scale using a framework based on the combined study of hydrology and soil development – hydropedology. The project will demonstrate how hydrology strongly influences soil development and soil chemistry, and in turn, controls stream water quality in headwater catchments. Understanding the linkages between hydrology and soil development can provide valuable information for managing forests and stream water quality. Feedbacks between soils and hydrology that lead to predictable landscape patterns of soil chemistry have implications for understanding spatial gradients in site productivity and suitability for species with differing habitat requirements or chemical sensitivity. Tools are needed that identify and predict these gradients that can ultimately provide guidance for land management and silvicultural decision making. Better integration between soil science, hydrology, and biogeochemistry will provide the conceptual leap needed by the hydrologic community to be able to better predict and explain temporal and spatial variability of stream water quality and understand water sources contributing to streamflow. These data were gathered as part of the Hubbard Brook Ecosystem Study (HBES). The HBES is a collaborative effort at the Hubbard Brook Experimental Forest, which is operated and maintained by the USDA Forest Service, Northern Research Station.
Ground water well elevation for Niwot Ridge Saddle, 2012 - 2018.
Water level of Saddle Ground Water Wells. Ground Water Well locations, depths, and design were determined by Niwot Ridge LTER lead researchers, Mark Williams and Nel Caine, to monitor groundwater chemistry and water levels. Well locations were selected based on proximity to the headwater region of the Saddle stream channel. Ground Water Wells are located along an east-west transect at the Saddle site, each pair consisting of a deep well to a depth between 6.3 and 8.8 m, and a shallow well to a depth of 1.5 m. Ground surface elevations at the Saddle wells range from about 3522 m at the eastern wells to 3532 m at the western wells. The transect is roughly 170 m from east to west, has an average slope of 0.06, and is perpendicular to the Saddle stream. Saddle pair 3 was installed very close to the channel. Saddle pairs 2 and 4 were installed on opposite sides of the channel. Saddle pair 1 was installed furthest from the channel (King, 2012). Ground water wells were installed in October 2005 by Bandimere Geothermal Drilling Systems. Wells are cased with 2-inch nominal pipe size, Schedule 40 polyvinyl chloride (PVC), flush-threaded pipe. Well screens were constructed from 0.020-inch continuous slot PVC and installed in 5-ft (1.52 m) intervals. All of the wells have 1.52 m screens at the bottom of the well. The bottoms of the wells were capped with a PVC flush-threaded point cap. The annular space around each screen and pipe was backfilled with #10-20 silica sand to act as a filter (King, 2012). The Niwot Ridge LTER monitoring of these Ground Water Wells has varied over the years since the wells were installed. Prior to 2014, all wells were sampled weekly in summer and monthly in winter for chemistry, and alternating wells were monitored for water level with pressure transducers and a weighted tape measure. From 2015 through present, Saddle Deep 3 (SD3) and Saddle Deep 4 (SD4)- those located closest to the Saddle Stream headwaters- are being monitored for water level, wat
Rain, well and river water oxygen and deuterium isotope analyses/values for Bonanza Creek Experimental Forest and LTTG sites ( 2002 - Present)
Isotope values for oxygen and hydrogen in waters provide information as to the source of the water, the climate at the time of collection, and the geographical location of the water source. Climate variations may be indicated in changes in the relationship between deuterium and 18O over an extended period. The sources and proportions of sources of ground water can be determined by isotope analysis. Rain, well and river waters were analyzed for ?18O and ?D values from LTER and LTTG sites in 2002, and LTER1, LTER2, UP2, and FP3 sites from 2003 on. Deuterium values were not replicable until the latter part of the 2005 field season and so were not reported until August, 2005.
Stream stage and water table elevation in hyporheic and ground water from McRae Ck well network, Andrews Experimental Forest, 1989-1993
Measurements of stream stage of McRae Ck and water table heights from a network of shallow wells located adjacent to the stream. Data were collected from September 1989 to September 1992 on an irregular basis to sample both baseflow periods and storm events across seasons of the year. Stage height was read from staff plates permanently located at several location in the mainstem channel and in a small back channel; water table elevations were measured with a weighted measuring tape with a visible signal when the tape touched the water in the well.
Ground water wells in the Eastern Shore of Virginia National Wildlife Refuge, 2014-2015
Two wells were established along a transect from salt marsh into pine forest. The lower well (Location: ESVNWR_LOW, WELLID: Lower) is located just inside the forest while the upper well (Location: ESVNWR_UPP, WELLID: Upper) is further in the forest along a line where saplings are currently growing. Below that elevation few saplings survive. Note the UPPER and LOWER well locations after January 7, 2015 are at different locations than in 2014. The 2015 Lower well is at (37.124668,-75.966567) and the 2015 Upper well is at (37.1247505,-75.9663644). Each well is drilled to a depth of approximately 1.5 meters. SWS CTD-Diver sensors are hung by a line in the well and collect temperature, specific conductivity and water head (water table elevation) data once every hour. The dataset spans January 07, 2014 to January 14, 2016.
Pompeii - Public Water Fountain 12 and Well
This public water fountain was scanned as part of the 2022 Pompeii Water and Sanitation Project field school run by the University of Missouri. The fountain is situated at VI.1.19 and is made of grey peperino slabs. The relief on the spout stone is no longer visible, but was reportedly of Silenus. Behind the fountain is an old well, with the remains of a water tower against the nort eastern corner. The wall of the well facing the fountain has the remains of a lararium altar - when the fountain was originally discovered, a fresco of lares was still visible. The wells predate the fountains and were the original source of water before the aqueduct and fountains were built. More photos can be seen here: https://pompeiiinpictures.com/pompeiiinpictures/Fountains/Fountain%2060119.htm The model was generated in Agisoft Metashape from 541 photos taken using a Nikon Z5. Photo alignment was run on high, as was model generation - model has been decimated for export, and made manifold for 3D printing. Source: Objaverse 1.0 / Sketchfab
Data from: How does sustainable water consumption in the shower relate to different dimensions of perceived well-being? Empirical evidence from university students
<p>Water scarcity is already a worrying issue and it is predicted to get worse in the future. This creates an imperative to use water efficiently and sustainably. In the domestic sphere, one of the main uses of water is showering, not only for hygiene reasons but also as a wellness activity. In order to gain insight into the implications of sustainable shower use, in this paper we analyse the relationship between subjective well-being and water consumption in the shower. We aim to answer the following questions: 1) How does shower water consumption relate to subjective well-being, 2) Does this relationship differ depending on showering habits (time spent in the shower, and number of showers per week), and 3) Does this relationship differ depending on the season (winter and summer). The dataset contains information on 937 students from different disciplines at the University of Granada, Spain. The different interpretations of subjective well-being considered are life satisfaction, affect, and vitality. Results suggest that there is a negative relationship between water consumption and subjective well-being, in line with the literature that identifies a well-being dividend from green behaviour (being pro-environmental helps the environment and increases happiness). All subjective well-being dimensions are negatively related to time spent in the shower, regardless of the season. In contrast, the frequency of showering is not significantly related to well-being. Therefore, it appears that higher water consumption does not translate into higher perceived well-being, indicating that there is no conflict between efficient shower water use and individual well-being.</p>
Poroelastic response of water level in Tengchong well aquifer to dynamic stress
<p>Data used in manuscript named "Poroelastic response of water level in Tengchong well aquifer to dynamic stress"</p>
Observed water level from 2015 to 2019 in 4 wells from a porous fractured aquifer in Burgundy, France
<p>This repository hosts the data used for drawing figure 8 from Jeannot et al.(submitted). The dataset is made of observed water levels from 2015 to 2019 in 4 wells from a porous fractured aquifer in Burgundy, France. The sampling time step is 2 hours.</p> <p><strong>Cited bibliography</strong></p> <p>Jeannot, B., Schaper, L., and Habets, F., submitted. Water Level in Observation Wells Simulated from Fracture and Matrix Water Heads Outputed by Dual-continuum Hydrogeological Models : POWeR-FADS. <em>Water Resources research</em></p>
Old Water well - Dinan
105 shots - panasonic GF7 - Processed with agisoft Photoscan Not great but I won't work on it anymore, miss high texture on some parts. So I will just make it available to anyone. Hope some will find use of it. Enjoy. Source: Objaverse 1.0 / Sketchfab
Figure. Study area and wells. in Investigation of zooplankton fauna in water wells of Yayladağı District (Hatay, Turkey)
Figure. Study area and wells.
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>
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>
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>
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Allen Brain Atlas
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DANDI Archive for NWB datasets
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International Brain Laboratory public data
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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.