Daily sea ice drift vectors, processed from passive microwave satellite data (SSM/I, SSMIS, AMSR-E and AMSR2) over the polar regions. Continuous maximum cross-correlation is used to calculate ice drift, including use of a wind-driven free-drift model in the summer melt season. This is a Thematic Climate Data Record (TCDR). Besides the Thredds server, mentioned in the resources, another way to access this product is through the FTP server ftp://osisaf.met.no/reprocessed/ice/drift_lr/v1

The Seawater intake station is maintained by Moss Landing Marine Laboratories who share the data with CeNCOOS. Data collected includes temperature, conductivity, salinity, fluorescence, beam attenuation, transmission, dissolved oxygen, dissolved organic saturation, pH, and tide height. Seawater data observations are collected from raw seawater drawn through an intake pipe. The pipe intake opening is located at 36.8025N and 121.7915W and is ~16.6m (54.4ft) below MLLW. The seawater sensors are cleaned of biofouling agents on a weekly/twice-weekly interval, though some data drift can be observed in transmission, beam attenution, and fluorescence. These nearshore sensors are part of the Central and Norther California Ocean Observing System (CeNCOOS). They measure various water quality parameters at fixed points along the California coast.

This repository contains the underlying data from benchmark experiments for Drifting Acoustic Instrumentation SYstems (DAISYs) in waves and currents described in "Performance of a Drifting Acoustic Instrumentation SYstem (DAISY) for Characterizing Radiated Noise from Marine Energy Converters" (https://link.springer.com/article/10.1007/s40722-024-00358-6). DAISYs consist of a surface expression connected to a hydrophone recording package by a tether. Both elements are instrumented to provide metadata (e.g., position, orientation, and depth). Information about how to build DAISYs is available at https://www.pmec.us/research-projects/daisy. The repository's primary content is three compressed archives (.zip format), each containing multiple MATLAB binary data files (.mat format). A table relating individual data files to figures in the paper, as well as the structure of each file, is included in the repository as a Word document (Data Description MHK-DR.docx). Most of the files contain time series information for a single DAISY deployment (file naming convention: [site]DAISY[Drift #].mat) consisting of processed hydrophone data and associated metadata. For a limited number of DAISY deployments, the hydrophone package was replaced with an acoustic Doppler velocimeter (file naming convention: [site]DAISY[Drift #]_ADV.mat). Data were collected over several years at three locations: (1) Sequim Bay at Pacific Northwest National Laboratory's Marine & Coastal Research Laboratory (MCRL) in Sequim, WA, the energetic tidal channel in Admiralty Inlet, WA (Admiralty Inlet), and the U.S. Navy's Wave Energy Test Site (WETS) in Kaneohe, HI. Brief descriptions of data files at each location follow. MCRL - (1) Drift #4 and #16 contrast the performance of a DAISY and a reference hydrophone (icListen HF Reson), respectively, in the quiescent interior of Sequim Bay (September 2020). (2) Drift #152 and #153 are velocity measurements for a drifting acoustic Doppler velocimeter in in the tidally-energetic entrance channel inside a flow shield and exposed to the flow, respectively (January 2018). (3) Two non-standard files are also included: DAISY_data.mat corresponds to a subset of a DAISY drift over an Adaptable Monitoring Package (AMP) and AMP_data.mat corresponds to approximately co-temporal data for a stationary hydrophone on the AMP (February 2019). Admiralty Inlet - (1) Drift #1-12 correspond to tests with flow shielded DAISYs, unshielded DAISYs, a reference hydrophone, and drifting acoustic Doppler velocimeter with 5, 10, and 15 m tether lengths between surface expression and hydrophone recording package (July 2022). (2) Drift #13-20 correspond to tests of flow shielded DAISYs with three different tether materials (rubber cord, nylon line, and faired nylon line) in lengths of 5, 10, and 15 m (July 2022). WETS - (1) Drift #30-32 correspond to tests with a heave plate incorporated into the tether (standard configuration for wave sites), rubber cord only, and rubber cord, but with a flow shielded hydrophone (November 2022). (2) Drift #49-58 and Drift #65-68 correspond to measurements around mooring infrastructure at the 60 m berth where time-delay-of-arrival localization was demonstrated for different DAISY arrangements and hydrophone depths (November 2022).

Largely supported by the Interagency Ecological Program (IEP), California Department of Water Resources (DWR) has operated a fish monitoring program in the Yolo Bypass, a seasonal floodplain and tidal slough, since 1998. The objectives of the Yolo Bypass Fish Monitoring Program (YBFMP) are to: 1. Collect baseline data on water quality, chlorophyll, lower trophic level biota, and fish in the Yolo Bypass to monitor spatial and temporal changes in trends and abundance. 2. Analyze and communicate Yolo Bypass data with interested parties and the scientific and management communities to address pertinent management-related questions. 3. Provide technical expertise on Yolo Bypass aquatic ecology and monitoring and sampling methods. Aquatic and terrestrial insects are an important component in the diet of juvenile and adult fishes within the San Francisco Estuary, including two important native fishes: juvenile Chinook Salmon and Sacramento Splittail. The YBFMP collects drift invertebrates year-round from two sites. Currently, samples are collected biweekly (every other week) to weekly (during floodplain inundation) using a rectangular aquatic drift net that sits at the surface of the water. Invertebrates are identified and enumerated by contractors (currently EcoAnalysts, Inc.). The goals of the monitoring program are to compare the seasonal variations in densities and species trends of aquatic and terrestrial insects/non-insects within the Sacramento River channel and the Yolo Bypass, the river’s seasonal floodplain. Drift invertebrate Key findings to date include: (1) Chinook Salmon sampled in the floodplain had diets comprised of 90% Dipterans and zooplankton, with Chironomidae being the dominant Diptera family (Sommer et al., 2001), (2) The floodplain of the Yolo Bypass contains significantly higher densities of Diptera (Diptera densities being positively associated with flow) and terrestrial invertebrates than the adjacent Sacramento River (Sommer et al. 2001b: Sommer et al. 2004: Sommer et al. 2007), (3) A major portion of the diet of juvenile Sacramento Splittail are chironomid larvae (Kurth and Nobriga 2001, Moyle et al. 2004, Sommer et al. 2007), and (4) The Yolo Bypass was the site of the discovery of a new aestivating and winter emerging chironomid; Hydrobaenus saetheri (Cranston et al. 2007). The collection of ichthyoplankton is one of multiple elements of the YBFMP. Currently, the YBFMP collects ichthyoplankton in the Yolo Bypass from January to July. Historically, ichthyoplankton were also sampled in the Sacramento River, but due to low catch, this was stopped in 2019. Sampling is conducted with a 500-micron mesh conical plankton net. Fish are identified and enumerated by contractors (currently EcoAnalysts, Inc). The initial goal of ichthyoplankton monitoring was to compare the seasonal variations in densities and species trends within the Sacramento River channel and the Yolo Bypass, the river’s seasonal floodplain (Sommer et al. 2003). The collection of ichthyoplankton samples is an important element in determining the annual presence, timing, and recruitment success of fishes utilizing the Yolo Bypass. Data on ichthyoplankton and associated water quality parameters are presented in this dataset. Key findings to date include: (1) 26 species of fish larvae were observed in the Yolo Bypass during the 20-years of monitoring (Mollie Ogaz and J. Frantzich, DWR, unpublished data), including Delta Smelt, Hypomesus transpacificus (Sommer et al 2004); (2) The native Prickly Sculpin and non-native Threadfin Shad dominated samples, contributing to over 60% of the total larval catch (Mollie Ogaz and J. Frantzich, DWR, unpublished data); (3) Native species made up a higher percent of total catch in the Yolo Bypass (22.43%) in comparison to in the Sacramento River (10.2%), and appeared earlier in the year than many non-natives (Mollie Ogaz and J. Frantzich, DWR, unpublished data); (4) Similar to other seasonal floodplains in the San Francisco Estuary, alien fishes made up a large portion of the assemblage of early life stages in the Yolo Bypass (Sommer et al 2004); (5) Water temperature and stage are the best explanatory environmental variables for larval fish abundance in the Yolo Bypass (p=0.001). Flow was not statistically significant (Mollie Ogaz and J. Frantzich, DWR, unpublished data); (6) Species richness and diversity are higher in the Yolo bypass in comparison to in the Sacramento River (Sommer et al. 2004).

Funded under DFO's Marine Conservation Targets Program, this two-year optical imagery benthic survey captured 41 drift-camera transects in the St. Anns Bank Marine Protected Area (MPA - 4364 km2) and 4 coastal transects west of the MPA, Atlantic Canada from August 15-23, 2023 and August 08-17, 2024. High-resolution still images (n=3605) were taken periodically throughout each transect, while continuous high-definition downward- and forward-facing video (~20 hours of each) was collected simultaneously along with over 14 hours of forward-facing Go-Pro video (only in 2024). Transect and image locations were collected using an acoustic positioning operating system (Kongsberg APOS) acquired in 2024; year-one of the survey relied on the vessel position. Distance travelled and distance between still images (m) was calculated using ArcGIS tools. Field of view (FOV) was estimated by measuring the length and width of a subset of still images from year-one of the survey (n=500) in ImageJ2, using 10-cm lasers for scale. FOV was standardized for each reported altitude. Transects ranged from 319 m to 2.8 km in length (~47 km surveyed in total), collecting imagery for 12 minutes to just over 1 hour at a time, surveying depths from 17 to 160 m below chart datum. Transect locations were selected based on unique bathymetric features and benthoscapes as well as areas previously surveyed from 2009-2015. Cite this data as: Lawton P, Teed L. Near-seafloor drift transect video imagery and high-resolution digital still images from a two-year survey in support of Marine Protected Area monitoring of St. Anns Bank, Atlantic Canada. Published January 2025. Coastal Ecosystems Science Division, Fisheries and Oceans Canada, St. Andrews, N.B.

Funded under DFO's Marine Conservation Targets Program, this optical imagery benthic survey captured 16 drift-camera transects in the St. Anns Bank Marine Protected Area (MPA - 4364 km2) and 2 coastal transects west of the MPA, Atlantic Canada from August 15-23, 2023. High-resolution still images (n=1941) were taken periodically throughout each transect, while continuous high-definition downward- (~9 hours) and forward-facing (~8.5 hours) video was collected simultaneously. Distance travelled and distance between still images (m) was calculated using ArcGIS tools. Field of view (FOV) was estimated by measuring the length and width of a subset of still images (n=500) in ImageJ2, using 10-cm lasers for scale. FOV was standardized for each reported altitude. Transects ranged from 754 m to 2.8 km in length (~22 km surveyed in total), collecting imagery for 20 minutes to just over 1 hour at a time, surveying depths from 17 to 144 m below chart datum. Transect locations were selected based on unique bathymetric features and benthoscapes as well as areas previously surveyed in 2015. Cite this data as: Lawton P, Teed L. Near-seafloor drift transect video imagery and high-resolution digital still images from a 2023 survey in support of Marine Protected Area monitoring of St. Anns Bank, Atlantic Canada. Published September 2024. Coastal Ecosystems Science Division, Fisheries and Oceans Canada, St. Andrews, N.B.

this dataset contains raw data, drift corrected data and seiscomp 3 data structure (sds) from ocean bottom seismometers (obs) deployed at emso-azores from july 2014 to april 2015.the raw data are initialy in lcheapo format. they are fixed at first to remove bugs and they are transformed to miniseed format. the drift corrected data are obtained from fixed raw data. the drift corrected data are obtained from fixed raw data. a value is put in the time correction eld (eld 16) of each data header. by default, the correction is applied to the record start time (eld 8) and the time correction applied ag (eld 12, bit 1) is activated. alternatively, only the time correction applied eld is changed.seiscomp3 data structure (sds) is the final product. it's the correct structure to be use in the seiscomp 3 software.

The EGS Collab is conducting experiments in hydraulic fracturing at a depth of 1.5 km in the Sanford Underground Research Facility (SURF) on the 4850 Level. A total of eight ~60m-long subhorizontal boreholes were drilled at that depth on the western rib of the West Access Drift. Six of these holes are used for geophysical monitoring, one is used for hydraulic fracturing and the remaining hole was designed as a production borehole. In addition to these eight boreholes, 4 5-m Jack leg boreholes were drilled for housing geophones. This submission package includes various data type that were assembled to create Earth Models of the testbed.

Note: The coordinate system used is local Homestake Mine Coordinate (HMC) system from an old gold mine that was in operation for over 100 years.

Overview The Central Valley Project Improvement Act (CVPIA) funds habitat improvement work and associated monitoring in the Central Valley of California to increase salmonid populations in furtherance of meeting CVPIA fish doubling goals. This data package contains three datasets for larval White Sturgeon (Acipenser transmontanus) monitoring in the San Joaquin River (SJR) conducted by the US Fish and Wildlife Service, Lodi Fish and Wildlife Office. SJR_Larval_WST_Set Data: This dataset contains data on an experimental sampling program using boat-mounted drift nets (D-frame nets), a large drift net attached to a stationary pontoon (pontoon net), and otter trawls to catch larval White Sturgeon in the San Joaquin River. Sets were made at targeted locations from March-July in 2013, 2015, 2016, and 2017. A total of ten White Sturgeon were captured in 2016 and 11 in 2017, all with D-frame driftnets. SJR_Larval_WST_Catch Data: This dataset contains data for individual fish caught in the San Joaquin River. Species and fork length were recorded for most individuals. SJR_Fish_Taxonomy Data: This dataset contains data for fish codes used in the Catch datafile. For each species that was captured, the Species codes are listed with the corresponding Interagency Ecological Program code, common name, taxonomy (Phylum, Class, Order, Family, Genus, and Species), and whether or not the species is native to the region.

Sea ice drift was measured by Surface Velocity Profiler 2016P37 drifting on Arctic sea ice. The buoy was deployed on first year ice without drogue during POLARSTERN cruise PS101 (ARK-XXX/3). The time series describes the position of the buoy between 24 Sep 2016 and 07 Oct 2016 in sample intervals of 5 minutes. The data set has been processed, including the removal of obvious inconsistencies (missing values).

The Western Australian Department of Fisheries has been monitoring the trajectories of a series of drifting buoy releases along the Western Australian continental shelf since 2008. The objective of the programme is to study the current system on the continental shelf in relation to the migration of fish and invertebrate larvae, particularly over the summer months when some key pelagic species are spawning and also when the early-stage larvae of the western rock lobster are being transported offshore. To date, most of the releases have been along the lower west coast.

Abstract: During 2001-2006, 6 giant icebergs (B15A, B15J, B15K, C16 and C25) adrift in the southwestern Ross Sea, Antarctica, were instrumented with global positioning system (GPS) receivers, magnetic compasses and automatic weather stations (AWS), to monitor their behavior in the near-coastal environment and to record their exit into the Southern Ocean. The GPS and AWS data were collected on a 20-minute interval, Many of the station data timeseries are continuous for periods of up to 7 years, with icebergs C16 and B15J having the longest records.

The data is considered useful for examining the processes of iceberg drift (and other behaviors) on time scales that are shorter than what is possible through satellite image iceberg tracking. Data are available in comma-delimited ASCII format and Matlab native mat files.

A series of laboratory experiments were conducted to better understand the behavior of grass carp eggs and larvae in moving water in order to develop and implement new strategies for control and prediction of their dispersal and drift at early life stages. Settling velocity and density of a representative sample of eggs were estimated, and three trials of flume experiments with different flow conditions were conducted with live eggs in a temperature-controlled setting with a mobile sediment bed. In these trials, egg and larval stages were continuously analyzed over periods of 80 hours; and eggs and larvae interactions with the flow and sediment bed were monitored and characterized qualitatively and quantitatively. Survival rates were quantified after each trial, highlighting physical causes for increased mortality. Detailed flow analysis was correlated to the observed drifting and swimming behavior of eggs and larvae, to estimate distributions across the water depth, as well as traveling and swimming speeds. Evidence of the influence of mean and turbulent flow in the suspension and transport of eggs are reported, and swimming patterns of larvae at different developmental stages are described. These findings support the development of new strategies for monitoring the spread of eggs and larvae in rivers, and provide new inputs to predict conditions favorable for spawning and hatching, allowing for mitigation measures at early life stages, which are critical to control their dispersal.

The Sea Ice Dynamics Experiment (SIDEx) was a field campaign in the Beaufort Sea during February to April 2021. The field experiment was designed to investigate the interaction of ice stress, strain, and fracture over meter (m) to kilometer (km) spatial scales as ice fractured and subsequently deformed. Observations were collected in situ at an ice camp, using autonomous buoys, and with remote sensing. Observations were collected over a variety of scales, including scales larger than the target m to km scale. This dataset is one facet of the multi-modal data package collected together in this parent archive. This dataset contains 30 quality-controlled drift tracks from Global Positioning System (GPS) buoys deployed on sea ice within about 100 km of the SIDEx camp. GPS buoy deployments began during the camp site selection flights on 26 February 2021. Between then and March 18, buoys were deployed to monitor horizontal ice deformation on cascading scales from about 5 km to 100 km. On March 6 a 5 km radius ring of buoys was deployed about the camp. On March 13 a 10 km radius ring of buoys was placed around this. The purpose of these deployments was to monitor ice motion about the camp that could be related to stress and strain-rates observed within a smaller observation array on the ice camp floe. Buoys were also placed at several locations a greater distance away (20 to 100 km) to monitor ice deformation on larger scales. The majority of deployments were made by releasing buoys out of a hatch in the floor of a small aircraft. Buoys 23, 24, and 34 were placed by hand. Buoy 34 was moved once during the deployment, and has two data records to reflect this.

This study investigates the influence of different drift gases on ion mobility in ion mobility spectrometry (IMS) using ketones as model substances within a custom-built drift tube spectrometer. Different binary mixtures of nitrogen, helium, and argon were used as drift gases to investigate the influence of mobility on the monomers and dimers of the different ketones. Experimental results reveal shifts in ion drift times and separation factors (α) with varying gas compositions, in accordance with Blanc’s Law. Furthermore, the study underscores the device-independent nature of α and the device-dependent resolution, emphasizing the importance of comparative analyses. Employing 2-hexanone and 2-decanone in the same sample but with different drift gases is used to show the impact of different drift gases. By changing the drift gas composition, total alignment of drift times and therefore no possible resolution or baseline resolution could be achieved. Through different experiments and analyses, this research provides insights into the interactions between gas composition and ion mobility, offering implications for diverse analytical applications from environmental monitoring to chemical detection.

The real-time monitoring of health conditions of humans is a long-lasting topic, but there are two major challenges. First, many biomedical applications accept only implanted sensors. Second, tissue-like soft sensors often suffer from viscoelasticity-induced signal drift, causing inaccurate measurements. Here, we report a wireless and drift-free sensory system enabled by a low-creep polyelectrolyte elastomer. The system consists of ionotropic pressure sensors incorporating LC oscillators, exhibiting a combined low drift ratio, high Q-factor, high robustness to interferences, and wide-range measurement, superior to other capacitive sensors using regular dielectrics or ionogels. We have recorded 14-day orthodontic loads of two subjects using the system, showing pressure decreasing from 300 to 50 kPa and torque from 12.5 to 0.5 N·mm. The wireless, drift-free sensory system may be extended to other implants for long-term and accurate sensing.

To monitor particle fluxes and near bottom hydrographic variability a modified version of the benthic Bottom Boundary (BOBO) lander was deployed at 57° 29.09 N, 27° 54.53 W on the Gardar Drift at a water depth of 2630 m. The deployment lasted from 16/09/2007 to 19/09/2008. Current velocity (S and W; cm/s) and acoustic backscatter (counts) were monitored at 15-min intervals using an upward looking RD Instruments 1200-kHz ADCP. These are the data from 6.65 m above the seafloor. Full details about the deployment can be found in Jonkers et al., 2010 (doi:10.1016/j.dsr.2010.05.005).

Harvesting and culling are methods used to monitor and manage wildlife diseases. An important consequence of these practices is a change in the genetic dynamics of affected populations that may threaten their long-term viability. The effective population size (Ne) is a fundamental parameter for describing such changes as it determines the amount of genetic drift in a population. Here, we estimate Ne of a harvested wild reindeer population in Norway. Then we use simulations to investigate the genetic consequences of management efforts for handling a recent spread of chronic wasting disease, including increased adult male harvest and population decimation. The Ne/N ratio in this population was found to be 0.124 at the end of the study period, compared to 0.239 in the preceding 14-year period. The difference was caused by increased harvest rates with a high proportion of adult males (older than 2.5 years) being shot (15.2 % in 2005-2018 and 44.8 % in 2021). Increased harvest rates decreased Ne in the simulations, but less sex-biased harvest strategies had a lower negative impact. For harvest strategies that yield stable population dynamics, shifting the harvest from calves to adult males and females increased Ne. Population decimation always resulted in decreased genetic variation in the population, with higher loss of heterozygosity and rare alleles with more severe decimation or longer periods of low population size. A very high proportion of males in the harvest had the most severe consequences for the loss of genetic variation. This study clearly shows how the effects of harvest strategies and changes in population size interact to determine the genetic drift of a managed population. The long-term genetic viability of wildlife populations subject to disease will also depend on the population impacts of the disease and how these interact with management actions. Methods Data collectionThe data was collected from the wild reindeer population at Hardangervidda in Southern Norway (60°09’55’’ N, 07°27’58’’ E). The Hardangervidda population is subject to annual harvest before the rut in late summer or the beginning of autumn (August-September). Generally, hunters do not differentiate between female and male calves, and it is also difficult to determine the sex of yearlings (1.5 years old) during hunting. Thus, harvest quotas generally separate between calves (0.5 years old), females (2.5 years and older), yearlings (females and males 1.5 years old), and free licenses (animals of any age and sex). The latter category is typically used to shoot adult males (2.5 years and older), as their size and status as trophy is considered attractive by hunters. Data on the number of harvested animals in each of the six categories (calves, yearlings, and adults of both sexes) were collected as reported by hunters. Four different annual surveys are performed throughout the year to monitor the population size and structure. First, a minimum estimate for the population size is made using flight transects during mid-winter (January-March), where all observed groups of reindeer are photographed and counted. Second, the annual calf production is estimated using flight transects during summer (late June to mid-July), where a subset of groups with females, calves, and yearling males are photographed and the ratio of calves to adult females and yearlings of both sexes are calculated. Adult males generally aggregate in separate groups in other areas at this time of the year. Third, data is recorded on the number of calves, yearlings, and adults of both sexes that are shot during the harvest (August-September). Finally, the population age and sex structure are estimated using ground surveys just after the harvest (September-October). At this time of the year the reindeer aggregate in groups with both sexes and can be classified into age and sex classes (calves, females, yearling males, and adult males). Data on population sizes in the years 2005-2021 were collected from an established Bayesian integrated population model which uses data from these four surveys for this population (Viljugrein et al. 2023). Additional dataAdditional data on fertility for females, average summer survival for calves, and survival for adult animals in the Hardangervidda population were collected from Mysterud et al. (2020), data on mating skew for male reindeer were collected from Røed et al. (2005), data on primary sex ratio was collected from Loison and Strand (2005) and data on the distribution of age-specific fertilities were collected from Skogland (1985, 1989). These additional data are provided in the main text of the publication. References

Loison, A., Strand, O. 2005. Allometry and variability of resource allocation to reproduction in a wild reindeer population. Behavioural Ecology, 16: 624-633. Mysterud, A., Hopp, P., Alvseike, K.R., Benestad, S.L., Nilsen, E.B., Rolandsen, C.M., Strand, O., Våge, J., Viljugrein, H. 2020. Hunting strategies to increase detection of chronic wasting disease in cervids. Nature Communications, 11: 4392. Røed, K.H., Holand, Ø., Gjøstein, H., Hansen, H. 2005. Variation in male reproductive success in a wild population of reindeer. Journal of Wildlife Management, 69: 1163-1170. Skogstad, T. 1985. The effects of density-dependent resource limitations on the demography of wild reindeer. Journal of Animal Ecology, 54: 359-374. Skogstad, T. 1989. Natural selection of wild reindeer life history traits by food limitation and predation. Oikos, 55: 101-110. Viljugrein, H. 2023. Data and Figure-Scripts for the Paper ‘An Infectious Disease Outbreak and Increased Mortality in Wild Alpine Reindeer’. Zenodo. doi: 10.5281/zenodo.7624490

To monitor particle fluxes and near bottom hydrographic variability a modified version of the benthic Bottom Boundary (BOBO) lander was deployed at 57° 29.09 N, 27° 54.53 W on the Gardar Drift at a water depth of 2630 m. These measurements cover the period from 16/09/2007 to 09/09/2008. Salinity and temperature were logged every 15 min at 3 metres above the seafloor with an SBE-16 CT sensor. Two Seapoint optical backscatter sensors were fitted to the lander at 1 and 3 metres above the seafloor recording data every 15 min. Biofouling of the sensor windows may have affected the results, and the lowest sensor (1 mab) appeared temporarily saturated by high turbidity. Full details about the deployment can be found in Jonkers et al., 2010 (doi:10.1016/j.dsr.2010.05.005).

This dataset includes the temperature fiber-optic monitoring data, ERT resistivity data, and thermal couple data from the ERT borehole from BATS 1 conducted at WIPP. The measurements cover the heating cycle from 01/21/2020 to 02/15/2020.

WIPP Heater_2019-12-17_23-00-16 (1)_ch1_full.tsv and WIPP Heater_2019-12-17_23-00-16 (1)_ch3_full.tsv are from the 5-m long fiber-optic borehole and the 10-m long fiber-optic borehole, respectively.

Array_Heated_Temperature_SN7066_Data_v2.xlsx is the thermal couple data in the ERT borehole.

P1_1.csv, P1_2.csv, and P1_3.csv are the resistivity data from three different depths: top (1.7 m from the drift wall), mid (2.9 m from the drift wall), and bottom (4.1 m from the drift wall).