cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.25921/zb46-m126
title: NOAA RESTORE Science Program: Linking Community and Food-web Approaches to Restoration: Taxonomic data for marsh infauna associated with natural and restored marshes along a salinity gradient generated from a freshwater diversion at West Pointe a la Hache into eastern Barataria Bay, Louisiana, 2018-05-21 to 2021-05-25 (NCEI Accession 0296020)

description: This dataset contains benthic macroinfauna species identifications and number of individuals collected from surface sediment samples at six sites at various distances from a freshwater diversion in the vicinity of West Pointe a la Hache, Lake Hermitage, and Port Sulphur, Louisiana in May of 2018, 2019, and 2021. Five replicates were collected at each marsh location. Taxonomic identification of individuals was determined to the lowest possible taxonomic level. Salinity data and marsh characterization for each sample location are also included in this dataset. Data are in spreadsheet format.
DOI: 10.25921/fk7x-v112
title: NOAA RESTORE Science Program: Linking Community and Food-web Approaches to Restoration: Total organic carbon and sediment grain size at natural and restored marshes along a salinity gradient generated from a freshwater diversion at West Pointe a la Hache into eastern Barataria Bay, Louisiana, 2018-05-21 to 2021-05-25 (NCEI Accession 0296021)

description: This dataset contains sediment samples analyzed for percentages of total organic carbon (TOC), water content, and sediment grain size. Samples were collected at six sites at various distances from a freshwater diversion in the vicinity of West Pointe a la Hache, Lake Hermitage, and Port Sulphur, Louisiana in May of 2018, 2019, and 2021. Five replicates were collected at each marsh location. TOC content, percent water, and grain size (percent Clay, Silt and Sand) are reported. Data are in spreadsheet format.
DOI: 10.15468/dl.7gkefp
title: Occurrence Download

description: A dataset containing 270 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Colchicum laetum Steven"
 ]
}

 The dataset includes 270 records from 27 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000219-250221090833381/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.60635/c3h02b
title: SST_Isla Grande

description: Sea Surface temperature monitoring near Isla Grande, 45km northwest of the City of ColonLocation (more exact coordinates available on request): 9.62 -79.57Depth: 3mStatus: Active
DOI: 10.25921/h4am-1w61
title: Predicted distribution models of corals and other benthic macroinvertbrates in shelf habitats in the Santa Barbara Channel (NCEI Accession 0297220)

description: Generalized linear models (GLM) generated for predicting the distribution of macroinvertebrate-sized hydroids, brittle stars, and short and tall sea pens that live in the Santa Barbara Channel (SBC) off California. Models contain probability of occurrence in the SBC from Refugio State Beach (34.58 N, 120.18 W) to Hueneme Canyon (34.18 N, 119.28W) along 5 survey blocks: Refugio, Coal Oil Point, Santa Barbara, Ventura, and Hueneme Canyon. Presence-absence data from geo-referenced video data and still images were fit to binomial GLMs with logit link functions (multiple logistic regression). For more details on the modeling process, see the journal article Krigsman et al. (2012). All models are presented in the GeoTIFF format.
DOI: 10.25921/vfy4-b003
title: Micronekton species identification, count, weight, length measurement collected from the research vessel Antea in the Equatorial Pacific Ocean from 2023-10-06 to 2023-10-25 (NCEI Accession 0297571)

description: Micronekton was sampled at different depths between 500m and the surface to identify the specimens as the more precise taxonomic level as possible, counting, weighting and measuring specimens. This cruise is U.S. State Department MSR U2023-018 as part of the World Data Service for Oceanography. Data are in XLSX format.
DOI: 10.25921/g909-xn92
title: Phytoplankton, primary production, POC, PON, POM collected from the research vessel Antea in the Equatorial Pacific Ocean from 2023-10-06 to 2023-10-25 (NCEI Accession 0297572)

description: This dataset contains water samples from different depths between 150m and the surface to determine a number of parameters related to phytoplankton, primary production, particulate organic matter, carbon and nitrogen. This cruise is U.S. State Department MSR U2023-018 as part of the World Data Service for Oceanography. Data are in XLSX format.
DOI: 10.25921/1v45-8r27
title: Partial pressure of carbon dioxide (pCO2), water temperature, salinity and barometric pressure collected from surface underway coastal observations during R/V Atlantic Explorer cruises in the North Atlantic Ocean in 2024 (NCEI Accession 0299271)

description: This dataset includes surface underway, chemical, physical, coastal data collected during R/V Atlantic Explorer cruises in the North Atlantic Ocean in 2024. These data include sea surface temperature, sea surface salinity, equilibrator temperature, equilibrator pressure, mole fraction of carbon dioxide (xCO2) in water and atmosphere and barometric pressure. The instruments used to collect these data include GO Oceanics Equilibrator, Hart Thermometer, Setra Pressure sensor and conductivity sensor.
DOI: 10.25921/2vz5-6w22
title: Partial pressure of carbon dioxide, salinity, temperature and other variables collected from surface underway observations from R/V F.G. Walton Smith coastal cruises in the Atlantic Ocean and Gulf of Mexico in 2024 (NCEI Accession 0299968)

description: This dataset includes surface underway, chemical, meteorological and physical data collected from R/V F.G. Walton Smith in the Gulf of Mexico and North Atlantic Ocean in 2024. These data include air-sea difference of partial pressure of carbon dioxide (pCO2), pCO2 in atmosphere, pCO2 in water, barometric pressure, sea surface salinity and temperature. The instruments used to collect these data include barometric pressure sensor, carbon dioxide gas analyzer, shower head chamber equilibrator for autonomous carbon dioxide measurement and thermosalinographs. The Global Coastal Carbon Data Project data includes the bottle (discrete) and surface (underway) carbon-related measurements from coastal research cruises, the data from time series cruises and coastal moorings. The coastal regions data are very important for the understanding of carbon cycle on the continental margins.
DOI: 10.25921/ybr7-ft82
title: 3-D water current, vertically averaged 2-D water current, 3-D salinity, 2-D water level collected from Numerical model (i.e., FVCOM) simulated current and salinity time series in Barataria Bay and adjacent Louisiana-Texas continental shelf from 20160822 to 20170831 (NCEI Accession 0300132)

description: The Finite Volume Coastal Ocean Model (FVCOM) was applied over the northern Gulf of Mexico continental shelf that includes Barataria Basin to simulate three-dimensional circulation patterns driven by larger rivers and river diversion, tides, and winds. The numerical model mesh covers a much larger computational domain which extends longitudinally from Mobile Bay, Alabama to west of Galveston Bay, Texas and offshore to ~ 300m-1000 m isobaths over the Alabama-Mississippi-Louisiana-Texas continental shelf and slope. Simulated hydrodynamic variables include sea level elevation, u- and v-velocity component, salinity, and turbulence parameters. The FVCOM simulation period is from 22 August 2016 to 31 August 2017. Output file is in NETCDF (Network Common Data Form) format, which is a set of software libraries and self-describing, machine-independent data formats that support the creation, access, and sharing of array-oriented scientific data. Output time interval is daily (at 00:00 GMT everyday).
DOI: 10.25921/j6ca-e692
title: Mesophotic and Deep Benthic Communities: CTD data collected from the R/V Point Sur in the Gulf of Mexico for the MDBC expedition PS-23-09 from 2022-09-08 to 2022-09-26 (NCEI Accession 0300758)

description: This dataset contains files produced by CTD rosette casts from the R/V Point Sur during the MDBC expedition PS-23-09. The ship conducted 58 CTD casts. Plots of the CTD data are also included. Data was collected from deep sites in northeastern Gulf of Mexico from 2022-09-08 to 2022-09-26.
DOI: 10.25921/9595-d721
title: 3-D water current, vertically averaged 2-D water current, 3-D salinity and DIN, 2-D water level collected from Numerical model (i.e., FVCOM) simulated current, salinity, and DIN time series in Barataria Bay and adjacent Louisiana-Texas continental shelf from 20210101 to 20210825 (NCEI Accession 0301508)

description: The Finite Volume Coastal Ocean Model (FVCOM) was applied over the northern Gulf of Mexico continental shelf that includes Barataria Basin and the Gulf Intracoastal Waterway (GIWW) to simulate three-dimensional circulation and dissolved inorganic nitrogen (DIN) dispersive patterns driven by larger rivers and river diversion, tides, and winds. The numerical model mesh covers a much larger computational domain which extends longitudinally from Mobile Bay, Alabama to west of Galveston Bay, Texas and offshore to ~ 300 m - 1000 m isobaths over the Alabama-Mississippi-Louisiana-Texas continental shelf and slope. Simulated hydrodynamic variables include sea level elevation, u- and v-velocity component, salinity, and turbulence parameters. DIN is simulated as a passive tracer (i.e., without considering the relevant biogeochemical processes) with three major input sources: the Mississippi River through the various passes in the birdfoot delta, the Davis Pond Freshwater Diversion inside Barataria Basin, and GIWW at Larose inlet. The FVCOM simulation period is from 1 January 2021 to 25 August 2021. Output file is in NetCDF (Network Common Data Form) format, which is a set of software libraries and self-describing, machine-independent data formats that support the creation, access, and sharing of array-oriented scientific data. Output time interval is daily (at 00:00 GMT everyday). DIN variable is saved in the NetCDF files as variable temperature since we modified FVCOM source code and used the temperature subroutines for advection and diffusion process to calculate DIN advection and diffusion process.
DOI: 10.25921/b265-c333
title: Partial pressure of carbon dioxide (pCO2), water temperature, salinity and barometric pressure collected from surface underway observations during the M/V Oleander SOOP Lines in the North Atlantic Ocean in 2024 (NCEI Accession 0301542)

description: This dataset includes surface underway, chemical, physical, coastal data collected during the M/V Oleander SOOP Lines in the North Atlantic Ocean in 2024. These data include sea surface temperature, sea surface salinity, equilibrator temperature, equilibrator pressure, mole fraction of carbon dioxide (xCO2) in water and atmosphere and barometric pressure. The instruments used to collect these data include GO Oceanics Equilibrator, Hart Thermometer, Setra Pressure sensor and conductivity sensor.
DOI: 10.15468/dl.n6hb7w
title: Occurrence Download

description: A dataset containing 270 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Colchicum laetum Steven"
 ]
}

 The dataset includes 270 records from 27 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000220-250221090833381/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25921/jykn-xg84
title: Drumlin bluff erosion field measurements, retreat rate calculations, and SWAN wave model results, Boston Harbor Islands, Massachusetts, 1995-04-01 to 2021-08-04 (NCEI Accession 0301689)

description: The data set consists of a combination of field, satellite, GIS, and simulated wave data (SWAN) for the purpose of calculating retreat rates and evaluating erosion potential on exposed bluffs on the Boston Harbor Islands in Massachusetts, USA. A CSV contains data on the retreat rate, orientation, bluff height, bluff elevation above MSL, mud percentage, and seawall presence for each bluff. The Example_SWAN_Model.zip file contains all input files used to simulate a sample scenario in SWAN. The Shapefiles.zip contains the location of each bluff and the shapefiles used to calculate the retreat rates.
DOI: 10.3334/cdiac/otg.ndp044
title: Fugacity of carbon dioxide and other variables collected from Surface underway observations using carbon dioxide (CO2) gas analyzer, showerhead equilibrator and other instruments from HUDSON, KNORR and others in the Alboran Sea, Arabian Sea and others from 1977-11-07 to 1990-04-16 (NCEI Accession 9400165)

description: This dataset includes surface underway, chemical, meteorological and physical data collected from HUDSON, KNORR, NOAA Ship MALCOLM BALDRIGE, MELVILLE, POLARSTERN, THOMAS G. THOMPSON and WECOMA in the Alboran Sea, Arabian Sea, Caribbean Sea, Coastal Waters of Southeast Alaska and British Columbia, Davis Strait, East China Sea (Tung Hai), Gulf of Aden, Gulf of Suez, Hawaiian Islands Humpback Whale National Marine Sanctuary, Indian Ocean, Inner Sea - West Coast Scotland, Labrador Sea, Mediterranean Sea, Mediterranean Sea - Eastern Basin, Mediterranean Sea - Western Basin, North Atlantic Ocean, North Greenland Sea, North Pacific Ocean, Norwegian Sea, Olympic Coast National Marine Sanctuary, Papahānaumokuākea Marine National Monument, Philippine Sea, Red Sea, Rio de la Plata, South Atlantic Ocean, South Pacific Ocean, Southern Oceans, Strait of Gibraltar and Tasman Sea from 1977-11-07 to 1990-04-16. These data include BAROMETRIC PRESSURE, fugacity of carbon dioxide - atmosphere, fugacity of carbon dioxide - water, SEA SURFACE TEMPERATURE and nitrous oxide (N2O). The instruments used to collect these data include Carbon dioxide (CO2) gas analyzer, Shower head chamber equilibrator for autonomous carbon dioxide (CO2) measurement and Thin film type equilibrator for autonomous carbon dioxide (CO2) measurement.

These data were collected by Ray F. Weiss of Scripps Institution of Oceanography (SIO) as part of the ANT V/3, Ant V/2, CGC-90 Leg 1, CGC-90 Leg 2, HUDSON 82-001 Leg 2, Hudson 82-001 Leg 1, INDOMED Leg 11A, INDOMED Leg 12, INDOMED Leg 15, INDOMED Leg 15A, INDOMED Leg 2, INDOMED Leg 3, INDOMED Leg 4, INDOMED Leg 5, NORPAX Leg 13, NORPAX Leg 15, NORPAX Leg 7, NORPAX Leg 9, NORPAX Transit, SAVE Leg 1, SAVE Leg 2, SAVE Leg 3, SAVE Leg 4, SAVE Leg 5, SAVE Leg 6, SAVE Transit, TPS24 Leg 1, TPS24 Leg 2, TPS47 Leg 1, TTO/NAS Leg 1, TTO/NAS Leg 2, TTO/NAS Leg 3, TTO/NAS Leg 4, TTO/NAS Leg 5, TTO/NAS Leg 6, TTO/NAS Leg 7, TTO/TAS Leg 1, TTO/TAS Leg 2, TTO/TAS Leg 3, ajax1 and underway ajax2 dataset. CDIAC associated the following cruise ID(s) with this dataset: ANT V/3 #32, Ajax 1 #26, Ajax 2 #27, Ant V/2 #31, CGC-90 Leg 1 #40, CGC-90 Leg 2 #41, Hudson 82-001 Leg 1 #21, Hudson 82-001 Leg 2 #22, INDOMED Leg 11A #5, INDOMED Leg 12 #6, INDOMED Leg 15 #7, INDOMED Leg 15A #8, INDOMED Leg 2 #1, INDOMED Leg 3 #2, INDOMED Leg 4 #3, INDOMED Leg 5 #4, NORPAX Leg 13 #12, NORPAX Leg 15 #13, NORPAX Leg 7 #10, NORPAX Leg 9 #11, NORPAX Transit #9, SAVE Leg 1 #34, SAVE Leg 2 #35, SAVE Leg 3 #36, SAVE Leg 4 #37, SAVE Leg 5 # 38, SAVE Leg 6 #39, SAVE Transit #33, TPS24 Leg 1 #28, TPS24 Leg 2 #29, TPS47 Leg 1 #30, TTO/NAS Leg 1 #14, TTO/NAS Leg 2 #15, TTO/NAS Leg 3 #16, TTO/NAS Leg 4 #17, TTO/NAS Leg 5 #18, TTO/NAS Leg 6 #19, TTO/NAS Leg 7 #20, TTO/TAS Leg 1 #23, TTO/TAS Leg 2 #24 and TTO/TAS Leg 3 #25.
DOI: 10.7289/v5qj7f8r
title: Quality-Controlled Underway Oceanographic and Meteorological Data from the Center for Ocean-Atmospheric Predictions Studies (COAPS) - Shipboard Automated Meteorological and Oceanographic System (SAMOS)

description: The Florida State University Center for Ocean-Atmospheric Predictions Studies (COAPS) has been operating a data assembly center (DAC) to collect, quality evaluate, and distribute Shipboard Automated Meteorological and Oceanographic System (SAMOS) observations since 2005. A SAMOS is typically a computerized data logging system that records underway meteorological and near-surface oceanographic observations collected on research vessels. The SAMOS initiative does not provide specific instrumentation for vessels, but instead takes advantage of science quality instrumentation already deployed on research vessels and select merchant ships. The SAMOS initiative provides vessel operators with desired sampling protocols and metadata requirements that will ensure the DAC receives a consistent series of observations from each vessel. The DAC and its partners in U. S. National Oceanic and Atmospheric Administration (NOAA), the University National Oceanographic Laboratory System, the U. S. Coast Guard, and the U. S. Antarctic Program have implemented a series of daily data transmissions from ship-to-shore using an email protocol. A set of observations recorded at one-minute intervals for the previous day arrive at the DAC soon after 0000 UTC and undergo automated quality evaluation. A trained data analyst reviews data and responds directly to vessels at sea when problems are identified. A secondary level of visual quality control is completed after all data from a single ship and day are merged into a common daily file (allowing for delayed data receipts). All quality-evaluated data are freely available to the user community and are distributed to national archive centers. This dataset contains all of these data.
DOI: 10.25921/ph54-8r64
title: Implementing the Florida Keys Coral Disease Response and Restoration Initiative: Number of coral outplants and survivorship by species

description: This dataset collection consists of yearly spreadsheets containing the corals outplanted from 2020-2023 and the survivorship over time, including but not limited to species Acropora cervicornis, Acropora palmata, Orbicella faveolata, Pseudodiploria clivosa and Montastraea cavernosa. These corals were outplanted by Mote Marine Laboratory, from 2020-01-01 to 2023-12-31 located in the Florida Keys. Mote Marine Laboratory continues to monitor each outplant one month post-outplant event, one year, three year and five years to monitor the survivorship of corals over time.
DOI: 10.3886/e220324
title: Effects of the Indiana Choice Scholarship Program on Public School Students’ Achievement and Graduation Rates

description: Abstract<br><br>We examine the competitive effects of the largest, statewide K–12 private school voucher program in the United States. We rely on network proximity data to generate a “drive time” measure that accounts for road lengths, intersection turn times, speed limits, and traffic patterns. This allows us to calculate travel time between two points in one-minute intervals. We use this precise measure in a difference-in-differences framework to examine impacts on student math and English Language Arts test scores and graduation rates. Using a student-level dataset that covers the 2006-07 through 2015–16 school years, we find little evidence that the average student in an Indiana traditional public school has been affected—either positively or negatively— by the enactment and growth of the Indiana Choice Scholarship Program. We discuss policy implications of these findings.
DOI: 10.3886/e220324v1
title: Effects of the Indiana Choice Scholarship Program on Public School Students’ Achievement and Graduation Rates

description: Abstract<br><br>We examine the competitive effects of the largest, statewide K–12 private school voucher program in the United States. We rely on network proximity data to generate a “drive time” measure that accounts for road lengths, intersection turn times, speed limits, and traffic patterns. This allows us to calculate travel time between two points in one-minute intervals. We use this precise measure in a difference-in-differences framework to examine impacts on student math and English Language Arts test scores and graduation rates. Using a student-level dataset that covers the 2006-07 through 2015–16 school years, we find little evidence that the average student in an Indiana traditional public school has been affected—either positively or negatively— by the enactment and growth of the Indiana Choice Scholarship Program. We discuss policy implications of these findings.
DOI: 10.15468/dl.tqtnpe
title: Occurrence Download

description: A dataset containing 6098 species occurrences available in GBIF matching the query:
{
 "or" : [
 "Geometry POLYGON((15.03124 -12.67948,15.45633 -12.68857,15.47224 -12.34532,15.03124 -12.34532,15.03124 -12.67948))",
 "Geometry POLYGON((17.50859 -12.00994,18.72192 -12.19376,18.80713 -11.46159,18.05916 -10.74079,17.17257 -10.38409,16.61683 -10.67359,17.28888 -11.12593,17.50859 -12.00994))"
 ]
}

 The dataset includes 6098 records from 65 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000221-250221090833381/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3886/e220323
title: HUD Monthly Interest Rate Survey

description: The HUD monthly interest rate survey provides information on interest rates, loan terms, and house prices. The survey is conducted by property type, loan type, and lender type. <br><br>How the survey is conducted The survey provides information on all properties, new properties, and previously occupied properties.The survey provides information on fixed-rate and adjustable-rate loans.The survey provides information on lenders such as savings associations, mortgage companies, commercial banks, and savings banks.What the survey includes The survey provides information on interest rates, loan terms, and house prices.The survey provides information on property type, loan type, and lender type.<b>Update on the Discontinuation of FHFA's Monthly Interest Rate Survey (MIRS)</b>On May 29, 2019, FHFA published its final Monthly Interest Rate Survey (MIRS), due to dwindling participation by financial institutions. MIRS had provided information on a monthly basis on interest rates, loan terms, and house prices by property type (all, new, previously occupied); by loan type (fixed- or adjustable-rate), and by lender type (savings associations, mortgage companies, commercial banks and savings banks); as well as information on 15-year and 30-year, fixed-rate loans. Additionally, MIRS provided quarterly information on conventional loans by major metropolitan area and by Federal Home Loan Bank district, and was used to compile FHFA’s monthly adjustable-rate mortgage index entitled the “National Average Contract Mortgage Rate for the Purchase of Previously Occupied Homes by Combined Lenders,” also known as the ARM Index.As some banks use the ARM Index as the basis for adjusting the interest rates on adjustable-rate mortgages, FHFA created and designated as the replacement for the ARM Index a version of Freddie Mac’s 30-year Primary Mortgage Market Survey® (PMMS®) that adjusts for differences between the two. This new index is called “MIRS Transition Index” and will be published on fhfa.gov on the final Thursday of every month. June 2019 was the first MIRS Transition index value to be published. The MIRS Transition index is intended to be used in lieu of the discontinued index for currently outstanding loans, and not as a reference rate on newly-originated adjustable-rate mortgages. The MIRS Transition Index was briefly referred to as PMMS+. It is not a replacement for PMMS.