cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.21233/0rk0-eg76
title: Great Dismal Swamp pollen surface sample dataset

description: Raw data for the Great Dismal Swamp pollen surface sample dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.21233/cv57-gp31
title: Toconce pollen dataset

description: Raw data for the Toconce pollen dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.21233/46nd-jp61
title: Rock P. (K.R.) water chemistry dataset

description: Raw data for the Rock P. (K.R.) water chemistry dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.21233/tw9y-v641
title: LDDsite3482 water chemistry dataset

description: Raw data for the LDDsite3482 water chemistry dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.21233/2g7d-cn80
title: Ningbo  ostracode surface sample dataset

description: Raw data for the Ningbo  ostracode surface sample dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.21233/4xcf-3z56
title: Long Reach ostracode surface sample dataset

description: Raw data for the Long Reach ostracode surface sample dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.21233/d7rq-sc34
title: Skaha Lake water chemistry dataset

description: Raw data for the Skaha Lake water chemistry dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.21233/5jqc-sw13
title: Loon diatom surface sample dataset

description: Raw data for the Loon diatom surface sample dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.21233/7te9-0r62
title: Alfred Bog testate amoebae surface sample dataset

description: Raw data for the Alfred Bog testate amoebae surface sample dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.21233/e2ct-5x89
title: Stannard Mammoth vertebrate fauna dataset

description: Raw data for the Stannard Mammoth vertebrate fauna dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.21233/f6vy-ws26
title: ONTSU44 pollen surface sample dataset

description: Raw data for the ONTSU44 pollen surface sample dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.21233/pt0m-c608
title: St. Petersburg vertebrate fauna dataset

description: Raw data for the St. Petersburg vertebrate fauna dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.21233/p92m-6v62
title: Sandy Lake ostracode surface sample dataset

description: Raw data for the Sandy Lake ostracode surface sample dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.21233/g1ec-j461
title: Mer Bleue Bog testate amoebae surface sample dataset

description: Raw data for the Mer Bleue Bog testate amoebae surface sample dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.21233/jnfc-9w74
title: Pěkná testate amoebae dataset

description: Raw data for the Pěkná testate amoebae dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.21233/bf4z-d242
title: Lake Lowell diatom dataset

description: Raw data for the Lake Lowell diatom dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.21233/fegw-ym17
title: Round Lake (St) diatom bottom sample dataset

description: Raw data for the Round Lake (St) diatom bottom sample dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.21233/v1eq-za86
title: Big Soda Lake water chemistry dataset

description: Raw data for the Big Soda Lake water chemistry dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.21233/q8xr-e209
title: Bílé Karpaty 14 pollen surface sample dataset

description: Raw data for the Bílé Karpaty 14 pollen surface sample dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.21233/dtat-nw47
title: LDDsite6008 ostracode surface sample dataset

description: Raw data for the LDDsite6008 ostracode surface sample dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.21233/s3cz-kh56
title: Deer Creek [34KA3] vertebrate fauna dataset

description: Raw data for the Deer Creek [34KA3] vertebrate fauna dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.21233/2csx-z942
title: McQuaby Lake ostracode surface sample dataset

description: Raw data for the McQuaby Lake ostracode surface sample dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.21233/sk55-zy83
title: Waterman vertebrate fauna dataset

description: Raw data for the Waterman vertebrate fauna dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.21233/pe8v-tb06
title: ONTSU54 pollen surface sample dataset

description: Raw data for the ONTSU54 pollen surface sample dataset submitted to the Neotoma Paleoecology Database. Data is available through the landing page in JSON format. The landing page referenced by the DOI also contains links to publications and a map-based viewer for the dataset. The Neotoma Paleoecology Database maintains a homepage at https://www.neotomadb.org.
DOI: 10.15468/dl.n62d6c
title: Occurrence Download

description: A dataset containing 236 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Muntiacus reevesi (Ogilby, 1839)",
 "Country is Japan",
 "Year is greater than or equal to 1500"
 ]
}

 The dataset includes 236 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024794-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.he5y2f
title: Occurrence Download

description: A dataset containing 3808202 species occurrences available in GBIF matching the query:
{
 "Country" : [
 "is Türkiye"
 ]
}

 The dataset includes 3808202 records from 1619 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024791-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rb8ks8
title: Occurrence Download

description: A dataset containing 32490 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "TaxonKey is Clinopodium vulgare L.",
 "Year is less than or equal to 2000",
 "Year is greater than or equal to 1970",
 {
 "or" : [
 {
 "not" : {
 "EstablishmentMeans" : [
 "is one of (MANAGED, INTRODUCED)"
 ]
 }
 },
 "EstablishmentMeans is null"
 ]
 },
 {
 "or" : [
 "CoordinateUncertaintyInMeters is less than 1000",
 "CoordinateUncertaintyInMeters is null"
 ]
 }
 ]
}

 The dataset includes 32490 records from 274 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007885-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17882/97038
title: A Dataset of Ocean Color Products in High-Latitude Oceans of the Southern Hemisphere from 2003-2020

description: In high-latitude oceans, extreme weather conditions and complex environments make it difficult to obtain large-scale ocean color data through in situ measurements, such as buoy and shipboard measurements, especially during the winter season. Ocean color satellites provide the only means of monitoring marine ecological environments at regional and global scales. However, due to the reduced accuracy of atmospheric correction models under large solar zenith angles, publicly-available datasets currently lack ocean color data for the high-latitude oceans during the winter season. In this study, we developed a dataset of ocean color products for the high-latitude oceans of the Southern Hemisphere (≥50°S) from 2003 to 2020 based on a newly-developed atmospheric correction model. We validated the accuracy of the retrieved chlorophyll concentration products using in situ datasets from the NASA Bio-Optical Marine Algorithm Dataset (NOMAD) and the Chinese Antarctic Research Expedition (CHINARE). The results indicated that our dataset had more reliable and accurate records compared to the products distributed by NASA. For instance, in the 412 and 667 nm bands, the NN-LAT50 dataset exhibited absolute percentage deviation (APD) values of 24.1% and 38.1%, respectively, whereas the NIR model had APD values of 33.1% and 52.5%, respectively. Furthermore, the NN-LAT50 dataset demonstrated an effective data volume exceeding 16% of that of NASA’s dataset in multiple wavelength bands. This study has established a dataset that, for the first time, covers a long time series (2003-2020) of ocean color products during the winter season in the high-latitude oceans of the Southern Hemisphere, which should be helpful for the study of the marine ecological environments of the Antarctic and sub-Antarctic oceans.
DOI: 10.17882/97654
title: A Dataset of Ocean Color Products in High-Latitude Oceans of the Northern Hemisphere from 2003-2020

description: In high-latitude oceans, extreme weather conditions and complex environments make it difficult to obtain large-scale ocean color data through in situ measurements, such as buoy and shipboard measurements, especially during the winter season. Ocean color satellites provide the only means of monitoring marine ecological environments at regional and global scales. However, due to the reduced accuracy of atmospheric correction models under large solar zenith angles, publicly-available datasets currently lack ocean color data for the high-latitude oceans during the winter season. In this study, we developed a dataset of ocean color products for the high-latitude oceans of the Northern Hemisphere (≥50°N) from 2003 to 2020 based on a newly-developed atmospheric correction model. We validated the accuracy of the retrieved chlorophyll concentration products using in situ datasets from the NASA Bio-Optical Marine Algorithm Dataset (NOMAD). The results indicated that our dataset had more reliable and accurate records compared to the products distributed by NASA. For instance, This study has established a dataset that, for the first time, covers a long time series (2003-2020) of ocean color products during the winter season in the high-latitude oceans of the Northern Hemisphere, which should be helpful for the study of the marine ecological environments of the Arctic and sub-Arctic oceans.
DOI: 10.17882/99128
title: MVP corrected measurements from RESILIENCE

description: The RESILIENCE experiment took place in April and May 2022 on the R/V Marion Dufresne in the Southwestern Indian Ocean, South of the Mozambique Chanel and offshore of Durban (South Africa). The main scientific objective was to study the interaction at fine scale (about 10km) between physics and biology. To do so CTD stations were performed accompanied by MVP profiles, measuring temperature, conductivity (hence salinity) and fluorescence. The MVP is performing profiles downward in a free-fall mode and upward, towed by a cable. This instrument is subject to many errors. Here we have first corrected the sensors offset between the CTD and MVP. Second, we have also corrected the thermistor viscous heating and the thermal lag between the thermistor and the conductivity cell. Third, we have corrected the thermal mass error on the lowering profiles. Only temperature and conductivity/salinity measurements are corrected.
DOI: 10.17882/90432
title: Ocean-ice data from an Antarctic ice shelf water plume flowing beneath land-fast sea ice

description: Data from a measurement campaign examining the oceanic connection between an ice shelf cavity and sea ice. Here we present data from the ocean boundary-layer in an Ice Shelf Water outflow region from the Ross/McMurdo Ice Shelves. From a fast ice field camp during the Spring of 2015, we captured the kinematics of free-floating relatively large (in some cases 10s of mm in scale) ice crystals that were advecting and then settling upwards in a depositional layer on the sea ice underside (SIPL, sub-ice platelet layer). Simultaneously, we measured the background oceanic temperature, salinity, currents and turbulence structure. At the camp location the total water depth was 536 m, with the uppermost 50 m of the water column being in-situ super-cooled. Tidal flow speeds had an amplitude of around 0.1 m s-1 with dissipation rates in the under-ice boundary layer measured to be up to e=10-6 W kg-1. Acoustic sampling (200 kHz) identified backscatter from large, individually identifiable suspended crystals associated with crystal sizes larger than normally described as frazil. Crystal sizes in the SIPL were also measured.
DOI: 10.17882/103233
title: Internal wave-driven mixing and geothermal heating for NEMO

description: This dataset contains seven netcdf files that can be used, inter alia, to run the Nucleus for European Modelling of the Ocean (NEMO) model with a parameterization for internal wave-driven mixing and geothermal forcing at the seafloor activated.
- Four files (with names including ‘zdfiwm_forcing_’) contain six two-dimensional (longitude, latitude) fields that are read by the ‘zdfiwm.F90’ routine of NEMO. These fields are provided on the ORCA2, eORCA1 and ORCA05 global grids, as well as on a regular grid at half-degree resolution. The fields on the regular grid can be used to create higher resolution forcing fields via interpolation. Note that the interpolation should not create negative values.
- Three files (with names including ‘geothermal_forcing_’) provide the geothermal heat flux mapped by Lucazeau (2019) which is read by the ‘trabbc.F90’ routine of NEMO. This file is provided on the ORCA2 and eORCA1 global grids, as well as on a regular grid at one-degree resolution. Interpolation can be used to create fields for other NEMO grids. Again, such interpolation should not create negative values.
Further description of these forcing files and the associated parameterizations, together with an analysis of their effects in long eORCA1 experiments, can be found in references provided below. Note that the ‘zdfiwm_forcing_…’ forcing files provided here include power from subinertial internal tides, as described in de Lavergne et al. (2024).
The file formats are suited to NEMO version 4.2 and more recent versions. They can readily be modified to work with earlier versions of NEMO.
References:
de Lavergne, C., Rathore, S., Madec, G., Sallée, J.-B., Ethé, C., Nasser, A., Millet, B., and  Vancoppenolle, M. Effects of improved tidal mixing in NEMO one-degree global ocean model.  ESS Open Archive (2024). https://doi.org/10.22541/essoar.173152139.95978362/v1
de Lavergne, C., Vic, C., Madec, G., Roquet, F., Waterhouse, A., Whalen, C.B., Cuypers, Y.,  Bouruet-Aubertot, P., Ferron, B., and Hibiya, T. A parameterization of local and remote tidal mixing. Journal of Advances in Modeling Earth Systems, 12, e2020MS002065 (2020). https://doi.org/10.1029/2020MS002065
Lucazeau, F. Analysis and mapping of an updated terrestrial heat flow data set. Geochemistry, Geophysics, Geosystems, 20, 4001-4025 (2019). https://doi.org/10.1029/2019GC008389
DOI: 10.17882/58153
title: Global estimates of internal tide generation rates at 1/30º resolution

description: The dataset contains global estimates of barotropic-to-baroclinic tidal energy conversion at 1/30-degree resolution. Three types of estimates are available: 1. Non-modal conversion rates calculated by Falahat et al. (2014) following the method of Nycander (2005). A map for each of the eight most energetic tidal constituents (M2, S2, K1, O1, N2, K2, P1, Q1) is provided. 2. Mode-by-mode conversion rates calculated by Falahat et al. (2014). A map for each of the three most energetic tidal constituents (M2, S2, K1) and each of vertical normal modes 1, 2, 3, 4, 5 and 6-10 is provided. 3. Mode-by-mode conversion rates calculated by Falahat et al. (2014), to which an ad hoc correction to eliminate negative conversion rates has been applied (following de Lavergne et al., 2019). The correction preserves basin-integrated, depth-dependent conversion rates. A map for each of the three most energetic tidal constituents (M2, S2, K1) and each of vertical normal modes 1, 2, 3, 4, 5 and 6-10 is provided. All maps were computed using the WOCE global climatology of stratification, the ETOPO2v2 bathymetry product and the TXO6.2 atlas of barotropic tidal velocities. Detailed methods and documentation can be found in the following publications: Nycander, J. Generation of internal waves in the deep ocean by tides. Journal of Geophysical Research 110, C10028 (2005). doi:10.1029/2004JC002487 Falahat, S., Nycander, J., Roquet, F., Moundheur, Z. Global calculation of tidal energy conversion into vertical normal modes. Journal of Physical Oceanography 44, 3225-3244 (2014). doi:10.1175/JPO-D-14-0002.1 de Lavergne, C., Falahat, S., Madec, G., Roquet, F., Nycander, J., Vic, C. Toward global maps of internal tide energy sinks. Ocean Modelling,137, 52-75 (2019). doi:10.1016/j.ocemod.2019.03.010.
DOI: 10.17882/69703
title: Harmful algae niche response(s) to environmental and community variation along the French coast. Dataset

description: The data-set is composed of three tables, Environmental variables, Phytoplankton ( in log+1 abundance) and the coordinates of the station used in the study. They are the processed data.
DOI: 10.17882/50832
title: SRN dataset - Regional Observation and Monitoring Program for Phytoplankton and Hydrology in the eastern English Channel

description: This SRN dataset includes long-term time series on marine phytoplankton and physico-chemical measures, since 1992, along the eastern English Channel coast. More precisely, samples were collected  along transects offshore Dunkerque, Boulogne-sur-Mer and the bay of Somme. Data are complementary to REPHY and REPHYTOX datasets. Phytoplankton data essentially cover microscopic taxonomic identifications and counts, but also pigments measures (Chlorophyll-a and pheopigment). Physico-chemical measures include temperature, salinity, turbidity, suspended matters (organic, mineral), dissolved oxygen, dissolved inorganic nutrients (ammonium, nitrite+nitrate, phosphate, silicate).