DNR has undergone a project to re-engineer and redesign its information systems for all offices of the department. Specifically, DNR has implemented Strategic Online Natural Resources Information System, SONRIS (pronounced Sunrise"). DNR uses its Administrative Web Server as the electronic access portal to information about DNR stored in static pages on the Administrative Web Server, and to dynamic SONRIS information available from other DNR Web servers. The public now has access via their Web browser to various tool sets within SONRIS: Data Access: retrieve oil and gas information, and coastal information, from the DNR Oracle database using sophisticated queries, and view pre-built reports such as the Conservation Scout Reports. Choose from either SONRIS "Classic", a robust form-based query capability, or SONRIS "Lite", an HTML-based capability designed for low-bandwidth users. Document Access: query and view millions of electronic document images, e.g., Office of Conservation oil/gas production cards and field orders, and Office of Mineral Resources lease records. GIS Access: retrieve information using interactive, geographically oriented, map capabilties, and select from a variety of layers of backgrounds.

This dataset contain the final 6,298 water-level records that met all threshold criteria and had absolute residuals (ABS_PSEUDO_LEVRES) not exceeding 20 feet and exceeding the 99th percentile. This final dataset is considered a best representation of the true water levels in the aquifer.

This GIS layer consists of oil and gas field approximate center point locations (approximately 1,800). Oil and gas fields not assigned a center point by the DNR Office of Conservation will not appear on the map. These points are manually placed into the database as allowing the software to automatically plot the geocenters of the fields may place the point outside the field due to the odd shapes of many of the fields. These data are updated weekly. This oil and gas field approximate centerpoint dataset was processed on January 31, 2007 for the Louisiana 2007 GIS DVD from the Louisiana Department of Natural Resources (LDNR) Oracle database/ESRI SDE oil/gas fields file. These data are updated weekly and can be downloaded from the LDNR oil/gas well download site - http://sonris-gis.dnr.state.la.us/website/DownloadLogin.html . Detailed information from the DNR Oracle database for fields can be accessed at LDNR's SONRIS web page (www.sonris.com) in the Office of Conservation Reports - Codes and Lookup Tables.

This is a point dataset containing the location of over 230,000 oil and gas and injection wells in the state of Louisiana. It was developed from the DNR Office of Conservation Oracle database compiled from all wells permitted since the industry was first regulated in the early 1900's. Data fields for the wells are listed in the "Attributes" section of this document. This oil and gas well dataset was processed on January 4, 2007 for the Louisiana 2007 GIS DVD from the Louisiana Department of Natural Resources (LDNR) Oracle database/ESRI SDE well files. These data are updated daily and can be downloaded from the LDNR oil/gas well download site - http://sonris-gis.dnr.state.la.us/website/DownloadLogin.html . Detailed information from the DNR Oracle database for the attribute codes can be accessed at LDNR's SONRIS web page (www.sonris.com) in the Office of Conservation Reports - Codes and Lookup Tables.

This data release provides several data files representing groundwater levels reported through driller's reports for the State of Louisiana Department of Natural Resources (Louisiana Department of Natural Resources, 2023) within or near the Mississippi Alluvial Plain (MAP) and (or) associated with the Mississippi River Valley alluvial aquifer (MRVA). First, a retrieval of data from the State of Louisiana was made and manual preparatory filtering including complete information of location, date, water level (depth below land surface) and water level altitude in feet, and general association with the MAP or MRVA. Further manual and digitally-assisted inspection was made to confirm that the data were not already within the U.S. Geological Survey (USGS) National Water Information System (NWIS) (U.S. Geological Survey, 2023). The agency code for the water levels has been assigned "LA018" (Louisiana Department of Natural Resources) in accordance with the https://help.waterdata.usgs.gov/codes-and-parameters/code/agency_cd_query?fmt=html (accessed February 28, 2023). Use of the LA018 agency code is consistent with historical and current USGS storage practices in NWIS when in collaboration with the State of Louisiana. This first data file is titled "LADNR_drillers_working.csv" (6,374 records). Second, that data file was processed through data structure conversion software (infoGW2visGWDB) (Asquith and Seanor, 2019) and in particular removal of well locations plotting outside the MAP boundary (Painter and Westerman, 2023) was made. The resultant but transient data structure of 4,855 of the original 6,374 records was given over to quality-control and assurance using statistical modeling (visGWDBmrva software) (Asquith and others, 2019, 2020). The statistical analyses result in formation of a regional statistical time series models using generalized additive models (GAMs) and support vector machines (SVMs). Some 18 records by horizontal position having a missing altitude of the bottom of the MRVA and zero records having water-level altitudes below the bottom of the MRVA when digitally working with the Torak and Painter (2019) surface of the MRVA bottom. These 18 records are retained through the workflow described herein to avoid potential scientific interpretation of hydrogeologic framework. In summary, for each of the 4,855 well-water-level records (or rather in detail, each unique well identifier), the visGWDBmrva software isolated all water levels for the MAP/MRVA from USGS (2023) within 16 kilometers radial distance. This means that the driller's dataset is being internally compared to itself and USGS MAP/MRVA data. The visGWDBmrva software computed a "pseudo water level" from a blending of GAM and SVM model predictions for the date of the driller's recorded water level. These computations are all created on-the-fly. A residual was computed from the pseudo water level (as altitude) to that water-level altitude reported for the well-water-level record of the driller's dataset. These statistical results are listed the file titled "LADNR_retained_levels.csv" (4,744 records) for which records were retained LADNR_drillers_working.csv if the absolute value of the residual of the well-water-level record and the pseudo water level was less than or equal to 20 feet. This threshold resulted from exploratory review of the statistical computations and is consistent with Smith and others (2020) and Weber and others (2021) for a similar driller's reported dataset for the Missouri part of the MAP/MRVA. The results listed in file LADNR_retained_levels.csv are deemed especially suitable for greater statistical modeling of groundwater levels in the MRVA (Asquith and Killian, 2022).

This repository the results produced by Hurtado-Pulido, Amer, Ebinger, and Holcomb “Variations in subsidence patterns in the Gulf of Mexico passive margin from Airborne-LiDAR data and Time Series InSAR: Baton Rouge Case Study”.

This repository presents data sets for figures 4, 5, 6, 7 and 8. Processing methods are described in the paper. The READme file contains details about each file. Please address any questions about this dataset to Hurtado-Pulido.

LiDAR data from 1999 is stored and distributed by the Atlas: The Louisiana Statewide GIS (https://maps.ga.lsu.edu/lidar2000/). LiDAR data from 2018 is stored and distributed by the USGS Server through The National Map Download Manager (https://apps.nationalmap.gov/downloader/).

EnviSAT SAR images were retrieved from the Earth Observation Catalogue (https://eocat.esa.int/sec/#data-services-area). Sentinel-1 SAR images from the Copernicus Open Access Hub (https://scihub.copernicus.eu/dhus/#/home). Both property of the European Space Agency.

GNSS information was processed by the Nevada Geodetic Laboratory (Blewitt et al., 2018; http://geodesy.unr.edu/NGLStationPages/gpsnetmap/GPSNetMap.html).

Data from water, injection, and extraction wells is stored in the Strategic Online Natural Resources Information System property of the Louisiana Department of Natural Resources (http://sonris-www.dnr.state.la.us/gis/agsweb/IE/JSViewer/index.html?TemplateID=181).