cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5066/f7rv0n0x
title: Archive of Digitized Analog Boomer Seismic-Reflection Data Collected During U.S. Geological Survey Cruises Erda 92-2 and Erda 92-4 in Mississippi Sound, June and August 1992

description: The U.S. Geological Survey (USGS) Coastal and Marine Geology Program has actively collected geophysical and sedimentological data in the northern Gulf of Mexico for several decades, including shallow subsurface data in the form of high-resolution seismic reflection profiles (HRSP). Prior to the mid-1990s most HRSP data were collected in analog format as paper rolls of continuous profiles up to 25 meters long. As part of the National Geological and Geophysical Data Preservation Program (NGGDPP), and in collaboration with the Bureau of Ocean Energy Management, Marine Minerals Program, scientists at the USGS St. Petersburg Coastal and Marine Science Center converted the analog paper records to digital format using a large-format continuous scanner. The image files created by scanning were further processed to fix distortions and crop out blank spaces to create industry standard Society of Exploration Geophysicists data exchange (SEG-Y) format. This data release serves as an archive of HRSP profiles annotated with header information, and converted SEG-Y files. The HRSP data were collected using a Huntec boomer seismic system onboard the Research Vessel (R/V) Erda. The geophysical cruises were completed in two segments within Mississippi Sound. On the first leg, geophysical surveys were conducted in June with the data being acquired from waterbodies surrounding Grand, Cat, and Horn Islands (Erda 92-2). During the second leg, geophysical surveys were collected in August off the coast of Mississippi and Alabama and between Horn and Petit Bois Islands (92-4). Data collection and processing methods are described in USGS Data Series 1047. Bosse, S.T., Flocks, J.G., and Forde, A.S., 2017, Digitized analog boomer seismic-reflection data collected during U.S. Geological Survey cruises Erda 90-1_HC, Erda 90-1_PBP, and Erda 91-3 in Mississippi Sound, June 1990 and September 1991: U.S. Geological Survey Data Series 1047, https://doi.org/10.3133/ds1047.
DOI: 10.5066/f7vm49g3
title: Using Fossilized Charcoal to Corroborate the Everglades Fire History Geodatabase

description: Fire in The Everglades National Park (ENP) has historically been influential in shaping the Everglades ecosystem. As a result, ENP has been documenting fire events since 1948, and these data have been incorporated into an Esri geodatabase. The main type of vegetation that has burned is comprised of palustrine and estuarine wetlands. However, there are areas in ENP that are comprised of these wetlands but have no documented fire events. Consequently, the completeness of the data in this geodatabase is questionable. For further information regarding fire data in the geodatabase, please refer to USGS Open-File Report 2015-1034, https://doi.org/10.3133/ofr20151034. To test the completeness of the data in the geodatabase sediment cores were collected in ENP from areas with documented and no documented historic fire events. Each core was examined for the presence or absence of charcoal particles and 210Pb dating was conducted on three of the six cores. The abundance of fossil charcoal in sediment cores was used as a historic fire proxy. From this examination, evidence was found of historic fire events in sediments cores that were taken from areas with no documented fire events. Tiling-Range, G., Smith, T.J., Foster, A.M., Smoak, J.M., and Breithaupt, J.L., 2019, Utilizing fossilized charcoal to augment the Everglades National Park Fire History Geodatabase: Journal of Environmental Management, v. 249, article no. 109360, https://doi.org/10.1016/j.jenvman.2019.109360.
DOI: 10.5066/f7vt1r8q
title: A GIS Compilation of Vector Shorelines Derived from Aerial Imagery for the Grand Bay Region of Mississippi and Alabama: 2010 and 2012

description: This data release features two digitized historical shorelines for the Mississippi (MS) and Alabama (AL) coastline (Pascagoula, MS to Point aux Pins, AL) from 2010 and 2012. The shorelines were heads-up digitized using ArcMap 10.3.1 from 0.5-meter (m) resolution orthorectified aerial photos sourced from the City of Mobile, Alabama (http://maps.cityofmobile.org/gis/gisdata_order.aspx) and 1-m resolution orthorectified aerial photos sourced from the National Agriculture Imagery Program (https://gdg.sc.egov.usda.gov/). These shoreline datasets are suited for long-term shoreline and wetland analyses and physical change assessment.
DOI: 10.5066/p9033xm8
title: Foraminiferal Mg/Ca Data from IODP Sediment Core U1446

description: In 2019 the magnesium-to-calcium (Mg/Ca) ratios were measured in the tests of planktic foraminiferal species, Globigerinoides ruber (white variety), in a subset of samples from Integrated Ocean Drilling Program (IODP) sediment core U1146 from the Bay of Bengal drilled November 2014 to January 2015. For further information regarding data collection and/or processing methods, refer to the associated journal article (Clemens et al., 2021). Clemens, S.C., Yamamoto, M., Thirumalai, K., Giosan, L., Richey, J.N., Nilsson-Kerr, K., Rosenthal, Y., Anand, P., and McGrath, S.M., 2021, Remote and local drivers of Pleistocene South Asian summer monsoon precipitation-A test for future predictions: Science Advances, v. 7, no. 23, https://doi.org/10.1126/sciadv.abg3848.
DOI: 10.5066/f7xk8ck2
title: Beach Slopes of Florida: Bradenton Beach to Clearwater Beach

description: The National Assessment of Coastal Change Hazards project derives features of beach morphology from lidar elevation data for the purpose of understanding and predicting storm impacts to our nation's coastlines. This dataset defines mean beach slopes along the United States Southeast Gulf of Mexico from Bradenton Beach to Clearwater Beach, Florida for data collected at various times between 1998 and 2010. For further information regarding data collection and/or processing methods refer to USGS Open-File Report 2015-1053: Doran, K.S., Long, J.W., and Overbeck, J.R., 2015, A method for determining average beach slope and beach slope variability for U.S. sandy coastlines: U.S. Geological Survey Open-File Report 2015-1053, 5 p., https://doi.org/10.3133/ofr20151053.
DOI: 10.48511/k4cf-1p39
title:  Horse Creek (NAHOR01) 

description: Water quality monitoring for Horse Creek. From 2009 to 2012, data in this dataset was collected by Wildsight Golden as part of the Columbia Basin Water Quality Monitoring Project which was coordinated and administered by Mainstreams.
DOI: 10.5066/f7zw1j25
title: EAARL-B Submerged Topography-Crocker Reef, Florida, 2014

description: These datasets provide lidar-derived topography for a portion of the submerged environs of Crocker Reef, Florida. Elevation measurements were acquired on April 13 and 22, 2014 by the second-generation Experimental Advanced Airborne Research Lidar (EAARL-B). The authors acknowledge Emily Klipp, Richard Mitchell, Karen Morgan, Chris Pali, Virgil Rabine, Rudy Troche, and Wayne Wright for planning efforts, data acquisition, and processing support.
DOI: 10.5066/p926ms6t
title: Sediment Radiochemical Data from Georgia, Massachusetts and Virginia Coastal Marshes

description: This data release is an archive of sedimentary laboratory analytical data produced by scientists from the U.S. Geological Survey St. Petersburg Coastal and Marine Science Center (USGS SPCMSC) for sediment cores and surface samples collected from coastal marshes in Georgia (GA), Virginia (VA), and Massachusetts (MA). Collaborators from USGS Patuxent Wildlife Research Center (PWRC) and the Virginia Institute of Marine Science (VIMS) collected these samples in South Altamaha, GA, Mockhorn Island, VA, Goodwin Island, VA and Laws Point, Plum Island Estuary, MA during a period spanning 2015 to 2019. This work provides the USGS and VIMS with the necessary data needed to assess the emergence rates (chronology and sedimentation rates) of coastal marshes at these locations. This publication includes data for marsh sediment cores and surface samples collected by collaborators at the USGS PWRC and VIMS from 2015-2019. Data products include site locations, loss on ignition and radiochemical data (alpha and gamma spectrometry), and Federal Geographic Data Committee (FGDC) metadata.
DOI: 10.5066/p91ndhx0
title: Projected Seafloor Elevation Along the Florida Reef Tract From Big Pine Key to Marquesas Key, Florida-50 Years From 2011 Based on Historical Rates of Mean Elevation Change

description: The U.S. Geological Survey (USGS) St. Petersburg Coastal and Marine Science Center conducted research to quantify the combined effect of all constructive and destructive processes on modern coral reef ecosystems by projecting future regional-scale changes in seafloor elevation for several sites along the Florida Reef Tract, Florida (FL) including the shallow seafloor along Key West, FL. USGS staff used historical bathymetric point data from the 1930's (National Oceanic and Atmospheric Administration (NOAA) Office of Coast Survey, see Yates and others, 2017) and light detection and ranging (lidar)-derived data acquired in 2002 (Brock and others, 2006, 2007) to calculate historical seafloor elevation changes in the Upper Florida Keys (UFK) (Yates and others, 2017). Using those changes in seafloor elevation, annual rates of elevation change were calculated for 13 habitat types found in the UFK reef tract. The annual rate of mean elevation change for each habitat type was applied to a digital elevation model (DEM) extending from Big Pine Key to Marquesas Key, FL that was modified from the NOAA National Centers for Environmental Information (NCEI) Key West coastal DEM (NOAA, 2011) to project future seafloor elevation (from 2011) along the Key West section of the Florida Reef Tract. Grid resolution for the DEM is 1/3 arc second (approximately 10 meters). Data were collected under Florida Keys National Marine Sanctuary permit FKNMS-2016-068. For more information visit: Yates, K. K., Zawada, D. G., Smiley, N. A., and Tiling-Range, G., 2017, Divergence of seafloor elevation and sea level rise in coral reef ecosystems: Biogeosciences, v. 14, no. 6, p. 1739-1772, https://doi.org/10.5194/bg-14-1739-2017.
DOI: 10.5066/f7xw4gvg
title: Shorelines Extracted from Landsat Imagery: Horn Island, Mississippi

description: The deployment of Landsat and other earth-observing satellites within the last few decades has provided an opportunity to observe barrier islands at frequent intervals, often many times a year. A variable of persistent interest as a metric for coastal erosion or change is the shoreline. Shorelines derived from imagery have value to resolve coastal changes. This data release includes shoreline positions extracted from Landsat satellite imagery. The shorelines are released in shapefiles with both line and polygon feature types to support a variety of user needs. The data (lines or polygons) are released as individual shapefiles for each sample date and are also released as combined shapefiles with all dates, again to provide users of these data with more options for selecting data of interest. The methods used to identify the shorelines are presented in Guy (2015).
DOI: 10.5066/f7ww7frj
title: Experimental PCR Data on Soil DNA Extracts

description: Bacillus species and B. anthracis presence/absence data were determined in 4,770 soil samples collected across the contiguous United States in collaboration with the PCR data for Bacillus species and B. anthracis rpoB gene PCR amplicon detection was reported as non-detect (n), low (l), medium (m), and high (h). Results for both pag and lef genes of the pX01 plasmid were reported by the University of South Florida's Center for Biological Defense. This data was recorded as negative or positive for each of the genes and included the following combinations: neg/neg, pos/neg, neg/pos, and pos/pos. Data for the pX02 plasmid were recorded as negative (blank) or positive (Y).
DOI: 10.34740/kaggle/dsv/2962382
title: Cryptocurrency extra data - Monero
DOI: 10.5066/f7z036cv
title: Foraminiferal Data for Chincoteague Bay and the Marsh Deposits of Assateague Island and the Adjacent Vicinity, Maryland and Virginia

description: Foraminiferal samples were collected from Chincoteague Bay, Newport Bay, and Tom's Cove as well as the marshes on the back-barrier side of Assateague Island and the Delmarva (Delaware-Maryland-Virginia) mainland by U.S. Geological Survey (USGS) researchers from the St. Petersburg Coastal and Marine Science Center in March, April (14CTB01), and October (14CTB02) 2014. Samples were also collected by the Woods Hole Coastal and Marine Science Center (WHCMSC) in July 2014 and shipped to the St. Petersburg office for processing. The dataset includes raw foraminiferal and normalized counts for the estuarine grab samples (G), terrestrial surface samples (S), and inner shelf grab samples (G). For further information regarding data collection and sample site coordinates, processing methods, or related datasets, please refer to USGS Data Series 1060 (https://doi.org/10.3133/ds1060), USGS Open-File Report 2015-1219 (https://doi.org/10.3133/ofr20151219), and USGS Open-File Report 2015-1169 (https://doi.org/10.3133/ofr20151169). Note: This data release was versioned on May 30, 2018. Please see the Suggested Citation section for details.
DOI: 10.5066/p90m2w6d
title: Sr/Ca and Linear Extension Data for Five Modern O. faveolata Colonies from Dry Tortugas National Park, Florida, USA

description: Strontium/Calcium (Sr/Ca) ratios act as a proxy for sea surface temperature (SST) in the skeletons of aragonite producing organisms, such as massive corals. The Sr/Ca-SST proxy shows promise when applied to single Orbicella faveolata colonies in the Atlantic/Caribbean regions, but it is currently unknown how well the Sr/Ca-SST proxy performs between colonies of this species. It is necessary to understand how well coral colonies from the same location replicate in order to examine and quantify uncertainty introduced from potential sample collection or subsampling errors. In order to examine both intra and intercolony Sr/Ca variability in O. faveolata, five live-top colonies were collected from the Dry Tortugas National Park, Florida, USA, in 2008 and 2012 and analyzed for Sr/Ca using inductively coupled plasma-optical emission spectrometry (ICP-OES). The Sr/Ca sub-annual cycles were then used to compute annual linear extension rates for each individual colony by measuring the distance between summer Sr/Ca peaks. For further information regarding data collection and/or processing methods refer to: Flannery, J.F., Richey, J.N., Toth, L.T., Kuffner, I.B., and Poore, R.Z., 2018, Quantifying uncertainty in Sr/Ca-based estimates of SST from the coral Orbicella faveolata: Paleoceanography and Paleoclimatology, v. 33, no. 9, p. 958-973, https://doi.org/10.1029/2018PA003389.
DOI: 10.5066/f7x63k24
title: Sediment Core Microfossil Data Collected from the Coastal Marsh of Grand Bay National Estuarine Research Reserve, Mississippi, USA

description: To aid in geologic studies of sediment transport and environmental change of a coastal marsh, 1-centimeter (cm) foraminiferal subsamples were taken from seven sediment push cores collected in the Grand Bay National Estuarine Research Reserve (GNDNERR), Mississippi (MS), in October 2016. The push cores were collected along two, shore-perpendicular transects at 5, 15, 25, and 50 meters (m) from the shoreline, on opposite sides of Middle Bay during U.S. Geological Survey (USGS) Field Activities Number (FAN) 2016-358-FA, also known as alternate FAN 16CCT07. Foraminiferal subsamples were processed and analyzed at the USGS St. Petersburg Coastal and Marine Science Center (SPCMSC) as part of the Estuarine-MaRsh Geology (EMRG) research project. Sediment characteristics, loss-on-ignition (LOI), and site location information for the core sites can be found in Marot and others (2019; https://doi.org/10.5066/P9FO8R3Y). Downloadable data are available as Excel spreadsheets (.xlsx), comma-separated values text files (.csv), and Federal Geographic Data Committee (FGDC) metadata (.txt and .xml).
DOI: 10.5066/f7xs5sh2
title: Digital Polymerase Chain Reaction (dPCR) and Presence/Absence Quantitative Polymerase Chain Reaction (qPCR) Data From the Sediment-Bound Contaminant Resiliency and Response Strategy Pilot Study, Northeastern United States, 2015

description: The purpose of these data sets was to define which samples contained antibiotic resistance genes (screened antibiotic resistance gene targets) and Vibrio species, the number of detectable targets per sample and the quantity of those respective gene targets per gram of soil. These data were determined from samples collected in the NE US in support of the Sediment-bound Contaminant Resiliency and Response (SCoRR) strategy.
DOI: 10.5066/f7z31wqw
title: EAARL-B Topography-Big Thicket National Preserve: Neches Bottom and Jack Gore Baygall Unit, 2014

description: These mosaics, prepared by the U.S. Geological Survey St. Petersburg Coastal and Marine Science Center, provide lidar-derived first-surface and bare-earth topography for the Neches Bottom and Jack Gore Baygall Unit of Big Thicket National Preserve in Texas. Elevation measurements were acquired by the second-generation Experimental Advanced Airborne Research Lidar (EAARL-B) on January 11, 15, 17, 18, 21, 23, 25, and 29, 2014, in cooperation with the National Park Service - Gulf Coast Network.
DOI: 10.5066/f7ws8rcp
title: Baseline Coastal Oblique Aerial Photographs Collected at Breton Island and the Chandeleur Islands, Louisiana, January 22, 2011

description: The U.S. Geological Survey (USGS), as part of the National Assessment of Coastal Change Hazards project, conducts baseline and storm-response photography missions to document and understand the changes in the vulnerability of the Nation's coasts to extreme storms and longer-term processes related to sediment supply and sea-level rise. On January 22, 2011, the USGS's NACCH project conducted an oblique aerial photographic survey at Breton Island and the Chandeleur Islands, Louisiana, aboard a Cessna 210 aircraft at an altitude of 500 feet (152 meters) and approximately 1,200 feet (366 meters) offshore to collect baseline data. Low resolution versions of these images are available in the interactive map viewer on the Baseline Oblique Aerial Photography page.
DOI: 10.5066/p91th157
title: Time Series of Aerial Imagery from Small Unmanned Aircraft Systems and Associated Ground Control Points: Madeira Beach, Florida, July 2017 to June 2018

description: Aerial imagery acquired with a small unmanned aircraft system (sUAS), in conjunction with surveyed ground control points (GCP) visible in the imagery, can be processed with structure-from-motion (SfM) photogrammetry techniques to produce high-resolution orthomosaics, three-dimensional (3D) point clouds and digital elevation models (DEMs). This dataset, prepared by the U.S. Geological Survey (USGS) St. Petersburg Coastal and Marine Science Center (SPCMSC), provides UAS survey data consisting of aerial imagery and GCP positions and elevations collected at Madeira Beach, Florida, monthly from July 2017 to June 2018 in order to observe seasonal and storm-induced changes in beach topography. Low-altitude (60 meters above ground level) digital aerial imagery were acquired over an approximately 700-meter-long and 100-meter-wide stretch of coastline. A 3DR Solo UAS quadcopter equipped with a Ricoh GR II digital camera flew shore-parallel lines at approximately 8 meters per second, collecting true color imagery at 1 Hertz, resulting in image footprints with 80% endlap/sidelap and 1.6 centimeter ground sample distance (GSD). The approximate camera position at the time of each image capture was interpolated from positions recorded by an internal Global Navigation Satellite System (GNSS) receiver on-board the UAS in a telemetry log file. A number of permanent features (e.g., parking lot stripes, concrete groin blocks) and temporary targets (black and white, 4-square checked pattern), distributed uniformly throughout the UAS flight operations area, were used as GCPs and surveyed using a Spectra Precision SP80 GNSS receiver connected to a Continuously Operating Reference Station (CORS) in the Florida Permanent Reference Network (FPRN); real-time kinematic (RTK) corrections were sampled for 60 seconds and the average positions were recorded, with horizontal position data given in the Universal Transverse Mercator (UTM) projected coordinate system, Zone 17 North (17N), referenced to the North American Datum of 1983 (NAD83), and elevation data referenced to the North American Vertical Datum of 1988 (NAVD88), GEOID12B.
DOI: 10.5066/f7zc81b1
title: Wave Scenario Results of Proposed Sediment Borrow Pit 3 on the Nearshore Wave Climate of Breton Island, LA

description: Provided here are the SWAN wave model input of grid 4 with pit 3 configuration and output of significant wave height, dominant wave period, and mean wave direction resulting from simulation of wave scenarios at the Breton Island, LA, as described in USGS Open-File Report 2015-1055 (https://doi.org/10.3133/ofr20151055). There are 128 individual scenarios that are based on significant wave height (H) and mean wave direction (D). There are 8 bins for significant wave height (H1-H8) that range from 0 meters to 6 meters in intervals of 0.5 meters (0-2 meters) and 1 meter (2-6 meters). There are 16 bins for mean wave direction (D1-D16) that range from 0 degrees to 360 degrees in intervals of 22.5 degrees. Of the 128 scenarios, 12 had no data and therefore are absent from the list below. For more information on scenario discretization readers are referred to: Dalyander, P.S., Mickey, R.C., Long, J.W., and Flocks, James, 2017, Effects of proposed borrow pits on the nearshore wave climate and longshore sediment transport rate along Breton Island, Louisiana (ver. 2.0, August 2017): U.S. Geological Survey Open-File Report 2015-1055, 44 p., https://doi.org/10.3133/ofr20151055.
DOI: 10.5066/f7ww7fvw
title: Acidification and Increasing CO2 Flux Associated with Five, Springs Coast, Florida Springs (1991-2014)

description: Scientists from the South West Florida Management District (SWFWMD) acquired and analyzed over 20 years of seasonally-sampled hydrochemical data from five first-order-magnitude (springs that discharge 2.83 m3 s-1 or more) coastal springs located in west-central Florida. These data were subsequently obtained by the U.S. Geological Survey (USGS) for further analyses and interpretation. The spring study sites (Chassahowitzka, Homosassa, Kings Bay, Rainbow, and Weeki Wachee), which are fed by the Floridan Aquifer system and discharge into the Gulf of Mexico were investigated to identify temporal and spatial trends of pH, alkalinity, partial pressure of carbon dioxide (pCO2) and CO2 flux.
DOI: 10.5066/p91t185r
title: Time Series of Autonomous Carbonate System Parameter Measurements in Eastern Gulf of Mexico near Tampa Bay, Florida, USA

description: This data set contains time series measurements of carbonate system parameters including water temperature (degrees C), pressure (dbars), salinity, pHT (pH on the total scale), carbon dioxide (ppm), dissolved oxygen (milligrams/L), and photosynthetically active radiation (microEinsteins). These data were collected in the eastern Gulf of Mexico near Tampa Bay, Florida, at the University of South Florida Coastal Ocean and Monitoring Prediction System (COMPS) Buoy C12 by the U.S. Geological Survey (USGS) St. Petersburg Coastal and Marine Science Center using an autonomous instrument package called the Ocean Carbon System version 3 (OCSv3). The OCSv3 consists of four sensors integrated using a Sea-Bird Stor-X data logger including a Sea-Bird SeapHOx pH sensor, a Sea-Bird SBE 37-SMP-ODO MicroCAT C-T-ODO (P) Recorder, a Pro-Oceanus CO2-Pro CV sensor, and a Wetlabs Eco-PAR sensor. Each parameter was measured hourly over multiple twenty-four hour time periods, ranging from weeks to months. Note: This data release was versioned on March 12, 2021. Please see the Suggested Citation section for details.