cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17882/72432
title: World Ocean Atlas of Argo inferred statistics

description: This dataset provides a World Ocean Atlas of Argo inferred statistics. The primary data are exclusively Argo profiles. The statistics are done using the whole time range covered by the Argo data, starting in July 1997. The atlas is provided with a 0.25° resolution in the horizontal and 63 depths from 0 m to 2,000 m in the vertical. The statistics include means of Conservative Temperature (CT), Absolute Salinity, compensated density, compressiblity factor and vertical isopycnal displacement (VID); standard deviations of CT, VID and the squared Brunt Vaisala frequency; skewness and kurtosis of VID; and Eddy Available Potential Energy (EAPE). The compensated density is the product of the in-situ density times the compressibility factor. It generalizes the virtual density used in Roullet et al. (2014). The compressibility factor is defined so as to remove the dependency with pressure of the in-situ density. The compensated density is used in the computation of the VID and the EAPE.
DOI: 10.17882/98833
title: Oceanographic data collection of the Monaco Exploration Indian Ocean cruise

description: Two quality controlled datasets here archived were collected during the oceanographic cruise MEIO that held in October-November 2022 over the South Western Indian Ocean, onboard S.A. Agulhas II. The first dataset is composed of continuous vertical profiles of the 12 oceanographic stations. The profiles have a resolution of 1dbar. The parameters reported in this data set are: pressure (in dbar), in-situ temperature (in °C), practical salinity, dissolved oxygen concentration (in µmol/kg), fluorescence of calibrated chlorophyll-a fluorescence (in µg/L), nitrate concentration (in µmol/kg) and particle attenuation @660nm (in 1/m). The second dataset is composed of discrete samples collected during the 12 stations. The parameters are the sensors measurements of every samples, dissolved oxygen concentration measured by the Winkler method (in µmol/kg), practical salinity measured by Autosal, concentration of silicate (in µmol/kg), concentration of phosphate (in µmol/kg) , concentration of nitrite (in µmol/kg), concentration of nitrate (in µmol/kg), concentration of pigments (processed by HPLC).
These datasets aim to contribute to the extension of the One-Argo programme in the southwestern area of the Indian Ocean through the deployment of a significant number of floats; and to collect reference measurements through a multi-instrumented CTD rosette, allowing in particular to calibrate the robots’ sensors, just before their deployment.
The two datasets were collected in concomitancy with the deployment of 29 One-Argo floats (WMO numbers : 5906536, 6903149, 4902620, 6903088, 6903148, 6990505, 5906970, 7901013, 4902626, 6903150, 5906972, 6903031, 5906540, 5906969, 4902623, 6990503, 3902471, 5906539, 6990504, 1902572, 5906537, 4902628, 7901003, 3902472, 6903033, 5906538, 1902573, 6903084, 5906971).
DOI: 10.17882/51691
title: Ship-track continuous dataset in the Mediterranean Sea collected during the cruise BioArgoMed 2015

description: Two quality controlled datasets here archived were collected during the oceanographic cruise BioArgoMed that held in Spring 2015 over the whole Mediterranean Sea, onboard R/V Tethys 2. The first datset is composed of continuous time series of sea surface temperature (TEMP in °C), sea surface salinity (practical scale, PSAL) and fluorescence of chlorophyll-a (FCHL in mg/m3) along the ship track, with a resolution of 5 minutes. The second dataset is composed of continuous time series of ocean currents profiles along the ship track with a resolution 1 km. The profiles are binned at 8m resolution from 18m until 570m. The quality controlled parameters are the depth (in m), the zonal current (UVEL in m/s) and the meridional current (VVEL in m/s).
DOI: 10.17882/51678
title: Oceanographic dataset in the Mediterranean Sea collected during the cruise BioArgoMed 2015

description: Two quality controlled datasets here archived were collected during the oceanographic cruise BioArgoMed that held in Spring 2015 over the whole Mediterranean Sea, onboard R/V Tethys 2. The first datset is composed of continuous vertical profiles of the 14 downcasts performed during the seven stations. The profiles have a resolution of 1dbar. The quality controlled parameters reported in this data set are: pressure (PRES in dbar), in-situ temperature (TEMP in °C), practical salinity (PSAL), dissolved oxygen concentration (OXYGEN in µmol/kg), fluorescence of chlorophyll-a (FCHL in mg/m3), amplitude of zonal current (UVEL in m/s), amplitude of the meridional current (VVEL in m/s), amplitude of error velocity (UERR in m/s). The second dataset is composed of discrete samples collected during the 14 upcasts performed during the seven stations. The quality controlled parameters are: pressure (CTD_PRES in dbar), in-situ temperature (CTD_TEMP in °C), practical salinity (CTD_PSAL), potential density anomaly referenced at surface (CTD_DENS in kg/m3), dissolved oxygen concentration measured by the electrochemical sensor (CTD_OXY in µmol/kg), fluorescence of chlorophyll-a (CTD_FCHL in mg/m3), dissolved oxygen concentration measured by the Winkler method (OXYGEN in µmol/kg), concentration of silicate (SILICAT in µmol/L), concentration of phosphate (PHSPHT in µmol/L) , concentration of nitrite (NITRIT in µmol/L), concentration of nitrate (NITRAT in µmol/L), concentration of pigments (processed by HPLC).
The two datasets were collected in concomitancy with the deployment of BGC-Argo floats (WMO numbers : 6901764, 6901765, 6901766, 6901767, 6901768, 6901769, 6901771, 6901773).
DOI: 10.17882/43499
title: Near-real-time quality-controlled radiometric profiles acquired by Bio-Argo floats

description: Vertical profiles of Photosynthetically Available Radiation (PAR) and downward irradiance (Ed) at 3 wavelengths (380, 412 and 490 nm) are routinely acquired by autonomous Bio-Argo floats. The database here presented includes radiometric profiles that have been quality-controlled using a specifically developed procedure for real-time distribution of data. The procedure is aimed at verifying only the shape of profiles. In each profile, dark signal, atmospheric clouds, spikes and wave focusing are flagged in a way compliant with the Argo real-time data management system. These data are therefore totally adapted to derive optical quantities such as the diffuse light attenuation coefficients. No quality control on the measured irradiance quantity is performed, which would require development of delayed-mode quality-control procedures.
DOI: 10.17882/54520
title: Correction of scale factors for backscattering channel on ECO sensors mounted on BGC-Argo floats

description: WET Labs investigated the bias found in Poteau et al. 2017: http://dx.doi.org/10.1002/2017gl073949 and provides a matrix of affected sensors with scale factors for the backscattering channels using a correct weighted phase function constant values for ECO sensors mounted on BGC-Argo floats.
DOI: 10.17882/76733
title: BGC-Argo float Deep Chlorophyll Maximum data combined with mesoscale eddies detection from TOEddies algorithm

description: This dataset contains bio-optical measurements and environmental parameters associated with Deep Chlorophyll Maxima acquired by BGC-Argo profiling floats and matched with mesoscale eddies location from the Ocean Eddy Detection and Tracking Algorithms (TOEeddies) Atlas. For each BGC-Argo profile the data files includes the World Meteorological Organistion (WMO) and profile numbers, geographical position (LON and LAT), the date of the profile in Julian Day (JULD); the qualification of the vertical profile (CARAC_BIO) as Deep Biomass Maximum (DBM), Deep photoAcclimation Maximum (DAM), or presenting no DCM (NO); at the depth of the maximum (DCM_DEPTH), the chlorophyll a concentration (CHLA_DCM, mg chla m-3 ) and the backscattering coefficient (BBP_DCM, m-1); the Mixed Layer Depth (MLD, m), the nitracline depth (NCLINE, m), the mean daily Available PAR in the Mixed Layer Depth (MIPAR_MLD, E m -1 d -1), the daily Available PAR at the nitracline depth (IPAR_NCLINE, E m-2 d-1); the location of the profile (CARAC_EDDY) as being inside the core/periphery (IN/_EN) of a cyclonic/anticyclonic eddy (DEP_/P_), or outside eddy influence (OUT); the processing level (MODE) of the ADT maps used for the TOEddies detection, either Near Real Time (-1), or Delayed Mode (1). The qualification and processing of the BGC-Argo profiles, as well as the DCM detection (DAM/DBM/NO) and the estimation of the environmental parameters, were applied as described from Cornec, M., Claustre, H., Mignot, A., Guidi, L., Lacour, L., Poteau, A., D'Ortenzio, F., Gentili, B., Schmechtig, C. (2021). Deep chlorophyll maxima in the global ocean: Occurrences, drivers and characteristics. Global Biogeochem Cycles 35. https://doi.org/10.1029/2020GB006759 Data relative to mesoscale eddies were produced by processing daily 0.25°x0.25° AVISO Absolute Dynamical Topography (maps produced by Ssalto/Duacs and distributed by Copernicus-Marine Environment Services) with the TOEddies algorithm (Laxenaire, R., Speich, S., Blanke, B., Chaigneau, A., Pegliasco, C., & Stegner, A. (2018). Anticyclonic Eddies Connecting the Western Boundaries of Indian and Atlantic Oceans. Journal of Geophysical Research: Oceans, 123(11), 7651–7677. https://doi.org/10.1029/2018JC014270)
DOI: 10.17882/45985
title: Argo NetCDF converter to WMO-BUFR, developped by Fisheries and Oceans Canada

description: This java code converts an Argo NetCDF profile file into a WMO-BUFR file. The Binary Universal Form for the Representation of meteorological data (BUFR) is a binary data format maintained by the World Meteorological Organization (WMO).
DOI: 10.17882/71768
title: BIOGEOCHEMICAL dataset collected during the SOCLIM cruise

description: The biogeochemical dataset was acquired during the SOCLIM cruise to study :
 - The Air-Sea exchange by improving the quantification of important climate relevant parameters such as air-sea fluxes of heat, fresh-water and carbon.
 - The Carbon sequestration with describing and quantifying the physical and biogeochemical processes driving the sequestration of carbon in the Southern Ocean
 - The Bio-optical anomaly while exploring the bio-optical anomaly of Southern Ocean surface waters, which contain less chlorophyll a than their color is actually suggesting
 - The Role of Mesoscale by evaluating the role of mesoscale and submesoscale dynamics in driving physical, biogeochimical and biological processes
DOI: 10.17882/42386
title: 2000-2014 climatology of the North Atlantic permanent pycnocline properties

description: This dataset contains OAC-P results from application to Argo data in the North Atlantic Ocean: - the 2000-2014 climatology of OAC-P results mapped onto a 0.5x0.5 grid with mapping error estimates; - the 2000-2014 probability density function of the permanent pycnocline potential density referenced to the sea surface vs Brunt-Väisälä frequency squared. OAC-P is an "Objective Algorithm for the Characterization of the permanent Pycnocline" developed to characterize subtropical gyre stratification features with both observed and modeled potential density profiles. OAC-P estimates the following properties: - for the permanent pycnocline: depth, upper and lower thicknesses, Brunt-Väisälä frequency squared, potential density, temperature and salinity; - for the surface mode water overlying the permanent pycnocline: depth, Brunt-Väisälä frequency squared, potential density, temperature and salinity. Argo data were download from Coriolis Argo GDAC on December, 8th 2014. Only Argo data with QC=1, 2, 5 or 8 were used.
DOI: 10.17882/80792
title: Potential mechanisms responsible for spatial variability in intensity and thickness of oxygen minimum zone in the Bay of Bengal

description: Spatial variability in boundaries and thickness of oxygen minimum zone (OMZ) is derived based on measured dissolved oxygen data obtained from sensors on board biogeochemical (BGC) Argo floats between 2013 and 2019 in the Bay of Bengal (BoB). Upper and lower boundary of the OMZ varied from 60 to 200 m and 100 to 800 m respectively with the thickness of 80 to 650m in the BoB. Relatively thicker OMZ is noticed in the northern than southern BoB associated with stratification. The salinity difference between surface and 100 m is higher in the northeastern (NE; &gt;2.5) followed by northwestern (NW; 1.8-2.5) and lower in the southern BoB (0.6 - 1.2) indicating weaker stratification in the latter region associated with weaker OMZ. The oxygen concentrations in the OMZ in the NW was low (&lt;1.5 mM) than NE BoB (2.5 mM) indicating that thick and intense OMZ occurs in the NW region associating with stratification and high primary production. Significant decrease in particle-back scatter signal was observed towards offshore from shelf indicating organic matter from the shelf sediments may be supporting bacterial carbon demand in the OMZ. The particle back-scatter signal peaked in the OMZ region with higher signal in the north than southern BoB and it is consistent with the low oxygen concentration in the former indicating that organic matter from shelf sediments may be supporting carbon needs in the OMZ. In addition to this, the occurrence of eddies significantly control the intensity of the OMZ in the BoB, as anticyclonic eddies ventilate oxygen, therefore weakens OMZ, whereas cyclonic eddies intensify OMZ through increase in primary production and upwelling of oxygen-poor waters. Therefore, this study suggests that spatial variations in intensity of OMZ in the BoB is governed by stratification, primary production, sinking carbon fluxes and organic matter decomposition within the OMZ and modification of oxygen concentration in the OMZ by eddies.
DOI: 10.17882/57596
title: Argo NetCDF converter to WMO-BUFR, developed by UK Met Office

description: This python2.7 code converts an Argo NetCDF profile file into a WMO-BUFR 3-15-003 file. It handles core temperature and salinity profiles only. The Binary Universal Form for the Representation of meteorological data (BUFR) is a binary data format maintained by the World Meteorological Organization (WMO). The main script is argonetcdftobufr.py. It calls other python scripts (in the attached zip folder) as well as some standard python packages. You call it from the linux command line like this: - python2.7 argonetcdftobufr.py -i "path/to/netcdf_file/input_netCDF_filename.nc" -o "path/to/output_destination/output_binary_filename.dat"
DOI: 10.15468/dl.rux5km
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"equals","key":"GADM_LEVEL_2_GID","value":"USA.4.61_1","matchCase":false},{"type":"equals","key":"CLASS_KEY","value":"212","matchCase":false},{"type":"greaterThanOrEquals","key":"YEAR","value":"2015","matchCase":false},{"type":"not","predicate":{"type":"in","key":"BASIS_OF_RECORD","values":["MATERIAL_CITATION","MATERIAL_SAMPLE","PRESERVED_SPECIMEN"],"matchCase":false}},{"type":"lessThanOrEquals","key":"COORDINATE_UNCERTAINTY_IN_METERS","value":"10000","matchCase":false},{"type":"equals","key":"LICENSE","value":"CC BY 4.0","matchCase":false}]}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007418-260108223611665/datasets/export for details.
DOI: 10.6084/m9.figshare.26047735.v1
title: Assembly and annotation of <i>Rhododendron</i> sp. genome (Rhonb_v1)

description: Assembly and annotation of <i>Rhododendron</i> sp. genome (Rhonb_v1)
DOI: 10.15468/dl.9k6662
title: Occurrence Download

description: A dataset containing 305 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((15.68408 50.79453,15.66733 50.76748,15.67762 50.72779,15.70025 50.71397,15.73965 50.72044,15.79022 50.73985,15.79962 50.76836,15.72554 50.80452,15.68408 50.79453))",
 "OccurrenceStatus is Present",
 "TaxonKey is one of (Nymphalidae, Lycaenidae, Pieridae, Papilionidae, Hesperiidae, Odonata, Riodinidae)"
 ]
}

 The dataset includes 305 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0077686-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2wsepd
title: Occurrence Download

description: A dataset containing 0 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 one of (Carex hatuyenensis N.K.Khoi)",
 {
 "or" : [
 {
 "not" : {
 "EstablishmentMeans" : [
 "is one of (MANAGED, INTRODUCED)"
 ]
 }
 },
 "EstablishmentMeans is null"
 ]
 }
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0077691-240506114902167/datasets/export for details.
DOI: 10.15468/dl.6heh4d
title: Occurrence Download

description: A dataset containing 463 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Sarcosoma globosum (Schmidel) Casp.",
 "GadmGid is RUS.30_1"
 ]
}

 The dataset includes 463 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0077692-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qbbqp9
title: Occurrence Download

description: A dataset containing 3643 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-20.59798 34.16759,58.59798 34.16759,58.59798 65.83241,-20.59798 65.83241,-20.59798 34.16759))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Myotis alcathoe von Helversen & Heller, 2001",
 "Year 2013-2023"
 ]
}

 The dataset includes 3643 records from 425 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0077690-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fqsngh
title: Occurrence Download

description: A dataset containing 7400 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Iresine diffusa Humb. & Bonpl. ex Willd.)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 7400 records from 281 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0077688-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57756/d8hhs5
title: 3D model of a brick of the NHMW

description: <p>3D scan of a brick of the Natural History Museum produced between 
1871 and 1885. The brick was manufactured by Wienerberger Ziegelwerke 
(Wienerberger Brickworks) sometimes referred to as Drasche-Werke, after 
the owner Heinrich von Drasche-Wartingberg (1811–1880). </p>
DOI: 10.15468/dl.emmep6
title: Occurrence Download

description: A dataset containing 1157010 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is United Kingdom of Great Britain and Northern Ireland",
 "TaxonKey is Odonata",
 "Year 2010-2024"
 ]
}

 The dataset includes 1157010 records from 129 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0077629-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mh9tn7
title: Occurrence Download

description: A dataset containing 4299 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is France",
 "TaxonKey is Amorpha L."
 ]
}

 The dataset includes 4299 records from 144 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0077693-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.cazhgs
title: Occurrence Download

description: A dataset containing 9167325 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 9167325 records from 2870 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0077527-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57760/sciencedb.14336
title: raw data-Figure 1-8
title: raw data-Figure 1-8

description: It is the raw data from the article "MicroRNA-542-3p Targets Pten to Inhibit Myoblast Proliferation but Inhibits Myogenic Differentiation Independent of Targeted Pten".
description: It is the raw data from the article "MicroRNA-542-3p Targets Pten to Inhibit Myoblast Proliferation but Inhibits Myogenic Differentiation Independent of Targeted Pten".
DOI: 10.57760/sciencedb.psych.00201
title: Data from "The temporal effect of uncertain context on the perceptual processing of painful and non-painful stimulation"
title: Data from "The temporal effect of uncertain context on the perceptual processing of painful and non-painful stimulation"

description: Data from: The temporal effect of uncertain context on the perceptual processing of painful and non-painful stimulation. This dataset includes the summarized data for further analysis. data_all_final.savSummarized data for further analysis. It contains demography data, behavioral data (subjective ratings to pain intensity, unpleasantness, anxiety), ERP data (mean N1/P2/LPP amplitudes of ROIs) and EEG Time-frequency data (mean energies of ROIs).allsub_ERP.matSummarized ERP data. "allsub_U_on": Uncertain Painful trials"allsub_P_on": Certain Painful trials"allsub_U_off": Uncertain Non-painful trials"allsub_N_off": Certain Non-painful trialsallsub_TF_P and U block.matSummarized TF data without Certain Non-painful trials."allsub_U_on_WF": Uncertain Painful trials"allsub_P_on_WF": Certain Painful trials"allsub_U_off_WF": Uncertain Non-painful trialsallsub_TF_N block.matSummarized TF data of Certain Non-painful trials.
description: Data from: The temporal effect of uncertain context on the perceptual processing of painful and non-painful stimulation. This dataset includes the summarized data for further analysis. data_all_final.savSummarized data for further analysis. It contains demography data, behavioral data (subjective ratings to pain intensity, unpleasantness, anxiety), ERP data (mean N1/P2/LPP amplitudes of ROIs) and EEG Time-frequency data (mean energies of ROIs).allsub_ERP.matSummarized ERP data. "allsub_U_on": Uncertain Painful trials"allsub_P_on": Certain Painful trials"allsub_U_off": Uncertain Non-painful trials"allsub_N_off": Certain Non-painful trialsallsub_TF_P and U block.matSummarized TF data without Certain Non-painful trials."allsub_U_on_WF": Uncertain Painful trials"allsub_P_on_WF": Certain Painful trials"allsub_U_off_WF": Uncertain Non-painful trialsallsub_TF_N block.matSummarized TF data of Certain Non-painful trials.
DOI: 10.57760/sciencedb.14337
title: Datasets of energy response for LaBr3(Ce,Sr), LaBr3(Ce), and NaI(Tl) crystals
title: Datasets of energy response for LaBr3(Ce,Sr), LaBr3(Ce), and NaI(Tl) crystals

description: The dataset supports the article "The Energy Response of LaBr3(Ce), LaBr3(Ce,Sr), and NaI(Tl) Crystals for GECAM," authored by Pei-Yi Feng et al.
description: The dataset supports the article "The Energy Response of LaBr3(Ce), LaBr3(Ce,Sr), and NaI(Tl) Crystals for GECAM," authored by Pei-Yi Feng et al.