cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.23726082
title: Data to support: Molecular-level carbon traits of fine roots: unveiling adaptation and decomposition under flooded condition

description: This data includes eight files.
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#biomass.csv is the rawdata of biomass fractionation based on sequential extraction and ash content of water-grown (WGR) or soil-grown roots (SGR). Each class of roots has three replicates.
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#carbon.csv is the rawdata of carbon fractionation based on sequential extraction of water-grown (WGR) or soil-grown roots (SGR). Each class of roots has three replicates.
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#NMR.csv is the rawdata of solid-state 13C cross-polarization magic angle spinning nuclear magnetic resonance integration results for water-grown (WGR) or soil-grown roots (SGR) samples before and during sequential extraction with a variety of extraction procedures. 
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#FDcMe-GCMS.csv is the rawdata of molecular-level compositions based on GC-MS of dichloromethane and methanol extractable fractions (FDcMe) of soil-grown roots (SGR) and water-grown roots (WGR). Each class of roots has three replicates. unit: mg g-1 OC
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#FKOHhy-GCMS.csv is the rawdata of molecular-level compositions based on GC-MS of base-hydrolyzable fractions (FKOHhy) of soil-grown roots (SGR) and water-grown roots (WGR). Each class of roots has three replicates. unit: mg g-1 OC
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#FCuOox-GCMS.csv is the rawdata of molecular-level compositions based on GC-MS of CuO-oxidizable fractions (FCuOox) of soil-grown roots (SGR) and water-grown roots (WGR). Each class of roots has three replicates. unit: mg g-1 OC
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#FTICRMS.csv is the rawdata of formulaes detected by FT ICR-MS of dichloromethane and methanol extractable fractions (FDcMe), base-hydrolyzable fractions (FKOHhy) and CuO-oxidizable fractions (FCuOox) of soil-grown roots (SGR) and water-grown roots (WGR). Each class of roots has three replicates.
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#decomposition.csv is the rawdata of the percentage of carbon remaining of soil-grown roots (SGR) and water-grown roots (WGR) after 180 days of decomposition in aerobic and anoxic conditions. Each class of roots has three replicates.
DOI: 10.7289/v56h4fbh
title: Bathymetry of Lake Ontario

description: Bathymetry of Lake Ontario has been compiled as a component of a NOAA project to rescue Great Lakes lake floor geological and geophysical data and make it more accessible to the public. The project is a cooperative effort between investigators at the NOAA National Geophysical Data Center's Marine Geology & Geophysics Division (NGDC/MGG) and the NOAA Great Lakes Environmental Research Laboratory (GLERL). was compiled utilizing the entire historic sounding data base. The entire historic hydrographic sounding data base from the U.S. and Canada, originally collected for nautical charting purposes, was used to create a complete and accurate representation of Lake Ontario bathymetry. The U.S. data primarily came from the NOS Hydrographic Survey Data. This and other bathymetric sounding data collected by the U.S. National Ocean Service's (NOS) Coast Survey and the U. S. Army Corps of Engineers was employed to construct bathymetric contours at 1 meter intervals from 1-10 meters depth and 2 meter intervals at depths greater than 10 meters. Compilation scales ranged from 1:10,000 to 1:50,000. Bathymetric sounding data collected by the Canadian Hydrographic Service (CHS) were employed to construct bathymetric contours at 1 meter intervals and compilation scales ranging from 1:1,000 to 1:30,000. Digitization of the bathymetric contours, merging of the bathymetric contour data sets, poster construction, and preparation of a CD-ROM, were accomplished at the NGDC. Multibeam bathymetric data collected by the University of New Brunswick's Ocean Mapping Group (UNB-OMG), with support of the Geological Survey of Canada (GSC) and the CHS, were kindly made available in gridded form. In the two areas where multibeam bathymetric data were available, no other bathymetric data were used in the compilations. In some areas all available Canadian and U. S. bathymetric sounding data, collected at different times on different survey expeditions, were used to derive the contours. The U.S. coastline used was primarily the GLERL Medium Resolution Vector Shoreline dataset (Lee, 1998). Where needed for more coverage, the NOS Medium Resolution Vector Shoreline for the Conterminous U.S. (1994) dataset was used. Coastlines from the CHS bathymetric sounding data field sheets were used to complete the Canadian coastline. Images were constructed using the publicly-available software Generic Mapping Tools (GMT).
DOI: 10.7924/r4rf5zz3v
title: Data from: Geo-SegNet: A contrastive learning enhanced U-Net for geomaterial segmentation

description: The dataset was obtained using high-resolution X-ray micro-CT scans with a TESCAN UniTOM XL scanner at Duke University’s Creativ Engineering Laboratory. Samples were secured with a custom core holder featuring a magnetic aluminum base and stabilized using an acrylic tube. Scanning parameters included 160 kV voltage, 20 W power, 4096 projections, 20 µm voxel size, and a 1.5 mm copper filter. The UniTOM XL’s helical scanning captured full core widths, and 9266 representative slices were selected to optimize computation and train models on pore feature segmentation.
DOI: 10.12770/96e4f2ef-e809-4005-b5df-529adc4e3306
title: Trajectoires et données de bouées dérivantes lâchées dans le lagon de Nouméa : campagne Grand Nouméa

description: Dans l'objectif de mieux caractériser le devenir en mer des apports terrigènes autour de la ville de Nouméa, et pour compléter le jeu de données acquis par l'équipe de l'Ifremer lors des campagnes d'observations, des lâchées de bouées dérivantes ont été opérés.Le jeu de données intégral présente plusieurs lâchées de bouées dérivantes (Pacific Gyre) réalisés du 03 au 06 novembre - du 07 au 08 novembre - du 11 au 14 novembre et du 03 au 05 décembre 2019 permettant l'observation des trajectoires, des vitesses et des températures de surface.
DOI: 10.12770/dad19639-c901-4edb-85cd-1fd546aa4cdb
title: Projet SEARSE : Trajectoires et données de bouées dérivantes lâchées à l'embouchure de la rivière Dumbéa en février 2020

description: Le projet SEARSE est une composante du programme "Au fil de l'eau" du CRESICA (Consortium pour la Recherche, l'Enseignement Supérieur et l'Innovation en Nouvelle-Calédonie - www.cresica.nc/). Il s'inscrit également dans l'axe 2 de l'accord-cadre Ifremer - Collectivités de Nouvelle-Calédonie 2017-2021 nommé PRESENCE (Pression sur les Ecosystèmes Recifo-Lagonaires de Nouvelle-Calédonie). L'objectif de ce projet est d'identifier les signatures des rivières qui sont d'importants vecteurs de transport de sédiments mais également d’éléments dissous potentiellement néfastes au fonctionnement de l’écosystème corallien (excès de sels nutritifs, métaux et autres contaminants) et leur devenir dans les panaches. L'étude porte sur 4 rivières du grand Nouméa. Cette donnée présente les trajectoires et températures de surface mesurées par des bouées dérivantes lâchées à l'embouchure de la rivière Dumbéa suite à un épisode de fortes pluies en février 2020.
DOI: 10.12770/fa99ffe5-83e5-483c-8065-90a79981140a
title: Projet SEARSE : Trajectoires et données de bouées dérivantes lâchées à l'embouchure de la rivière Dumbéa en avril 2019

description: Le projet SEARSE est une composante du programme "Au fil de l'eau" du CRESICA (Consortium pour la Recherche, l'Enseignement Supérieur et l'Innovation en Nouvelle-Calédonie - www.cresica.nc/). Il s'inscrit également dans l'axe 2 de l'accord-cadre Ifremer - Collectivités de Nouvelle-Calédonie 2017-2021 nommé PRESENCE (Pression sur les Ecosystèmes Recifo-Lagonaires de Nouvelle-Calédonie). L'objectif de ce projet est d'identifier les signatures des rivières qui sont d'importants vecteurs de transport de sédiments mais également d’éléments dissous potentiellement néfastes au fonctionnement de l’écosystème corallien (excès de sels nutritifs, métaux et autres contaminants) et leur devenir dans les panaches. L'étude porte sur 4 rivières du grand Nouméa. Cette donnée présente les trajectoires et températures de surface mesurées par des bouées dérivantes lachées à l'embouchure de la rivière Dumbéa suite à un épisode de fortes pluies en avril 2019.
DOI: 10.14291/tccon.ggg2020.hefei01.r0
title: TCCON data from Hefei (PRC), Release GGG2020.R0

description: The Total Carbon Column Observing Network (TCCON) is
    a network of ground-based Fourier Transform Spectrometers that record direct
    solar absorption spectra of the atmosphere in the near-infrared. From these
    spectra, accurate and precise column-averaged abundances of atmospheric
    constituents including CO2, CH4, N2O, HF, CO, H2O, and HDO, are retrieved. This
    is the GGG2020 data release of observations from the TCCON station at
    Hefei, China
DOI: 10.15138/ve0c-be70
title: Earth System Research Laboratory Carbon Cycle and Greenhouse Gases Group Continuous Insitu Measurements of CH4 at Global Background Sites, 1973-Present

description: NOAA/ESRL/GML operates four staffed atmospheric baseline observatories from which numerous measurements of greenhouse gases are conducted. These baseline observatories, also known as global background sites, are located in Barrow, Alaska; Mauna Loa, Hawaii; American Samoa; and South Pole, Antarctica. The measured data are baseline levels, trends, and causes of variability of atmospheric gases that have the potential to affect global climate. These observatories were established in order to provide a sampling of the most remote air on the planet so that the true "background atmosphere" could be monitored. GML first began continuous in-situ measurements of CO2 at these observatories in 1973, and added CH4 and CO measurements in the 1980's. The ongoing data set is contingent upon the baseline observatories that are still in use going forward.
DOI: 10.15139/s3/xdyyb9
title: CMAQ Grid Mask Files for 12km CONUS - US States and NOAA Climate Regions

description: Data Summary: US states grid mask file and NOAA climate regions grid mask file, both compatible with the 12US1 modeling grid domain. Note:The datasets are on a Google Drive. The metadata associated with this DOI contain the link to the Google Drive folder and instructions for downloading the data. These files can be used with CMAQ-ISAMv5.3 to track state- or region-specific emissions. See Chapter 11 and Appendix B.4 in the CMAQ User's Guide for further information on how to use the ISAM control file with GRIDMASK files. The files can also be used for state or region-specific scaling of emissions using the CMAQv5.3 DESID module. See the DESID Tutorial and Appendix B.4 in the CMAQ User's Guide for further information on how to use the Emission Control File to scale emissions in predetermined geographical areas.
DOI: 10.1594/pangaea.899090
title: AMSR-E ASI sea ice concentration data, Arctic, version 5.4 (NetCDF) (June 2002 - September 2011)

description: The sea ice concentration product from the University of Bremen, Institute of Environmental Physics (IUP), has been retrieved with the ARTIST Sea Ice (ASI) algorithm, applied to microwave radiometer data of the sensor AMSR-E (Advanced Microwave Scanning Radiometer for EOS) on the NASA satellite Aqua. The data are gridded on a polar stereographic grid (EPSG code 3411, Arctic) with 6.25 km grid resolution. After the failure of AMSR-E in 2011, the ASI algorithm has been applied to the data of the sensor AMSR2 (Advanced Microwave Scanning Radiometer 2) on the JAXA satellite GCOM-W1 (see the datasets of sea ice concentration from AMSR2). This means that sea ice concentration data have been almost continuously produced since 2002, using AMSR-E data from 2002 until 2011 (this data set), and AMSR2 data since 2012. As several details of the processing chain have changed over the years, in 2018, all ASI ice concentration data for the Arctic and Antarctic based on AMSR-E and AMSR2 have been reprocessed with exactly the same parameters, settings and software. The result are ASI data, version 5.4. The details are explained in the ASI User Guide (https://seaice.uni-bremen.de/fileadmin/user_upload/ASIuserguide.pdf).
description: PLEASE NOTE:In the summer months, masking out of spurious sea ice (which can be caused by weather effects) was not correctly applied. The masking is described in section 3.5 "Maximum ice extent masking" of the ASi User Guide, https://seaice.uni-bremen.de/fileadmin/user_upload/ASIuserguide.pdf As a result, spurious sea ice can show up in summer in regions that are ice.-covered in winter.A newer version of this data is available, please see "Replaced by" reference.
DOI: 10.17632/jh8b2rh8nz.2
title: Dataset used to infer regional slope stability , NW Himalaya

description: The study area concerning the data set is located between the 31˚36′1″ N, 78˚26′ 47″ E and 31˚27′10″ N, 77˚38′ 20″ E in Satluj River valley, NW Himalaya. This region has been subjected to spatio-temporal varying tectonic stress, owing to continent-continent collision orogeny, resulting in a diverse set of joints. This data is a part of a larger dataset that was compiled to infer the potential landslide damming in Satluj valley, NW Himalaya. The data set includes joint mapping data, values of input parameters that are used in the Finite Element Method based slope stability evaluation, and a table comprising all the landslide related details. Rock mass joint data (Supplementary Table 1) was collected in the field. Rock/soil samples, collected from each landslide, were analysed in the National Geotechnical Facility and Wadia Institute of Himalayan Geology, India. These values were used in models to evaluate slope stability of different types of landslides. Procedure described in the relevant Indian Standard (IS) codes was followed for the laboratory analyses. Such data set can be utilized to infer the pattern of rock mass joints in continent-continent collision orogeny on regional scale. At slope level, it can be inferred as a controlling parameter. The values of input parameters used in the FEM models (Supplementary Table 2) can be utilized as a reference for different types of rock mass and soil. Supplementary Table 3 comprises the following details related to the landslides; Type, Area, volume, Human population in the vicinity, Factor of safety, Total displacement, Morphological Obstruction Index, Hydro-morphological Dam Stability Index (HDSI).
DOI: 10.17632/jryhypdhy3.1
title: Chemical composition of PM2.5 in Cauca River valley Colombia

description: Chemical speciation of PM2.5 in Cauca River valley - Colombia.
DOI: 10.17632/z6w4xd6s3s.1
title: Data for "Modeling intensive ocean-cyrosphere interactions in Lützow-Holm Bay, East Antarctica"

description: Data for "Modeling intensive ocean-cryosphere interactions in Lützow-Holm Bay, East Antarctica"
DOI: 10.17882/76334
title: Field observations of Hydrodynamics in a shallow coral reef lagoon : Poe lagoon - New Caledonia

description: Field trips have been conducted from February 2019 to May 2020 in Poe lagoon (South Province - New Caledonia) to characterize its hydrodynamic processes and functionning. This shallow lagoon belongs to a wider area which has been registered at the UNESCO World Natural Heritage list in 2008 and has experienced recently beaching of seaweed (ulva sp.). A dedicated project (ELADE) has been launched to investigate paths of enrichment of this lagoon. This dataset belongs to the Hydrodynamics Task of this multidisciplinary project. Several moorings (~ 15) have been placed for observations of currents, temperature, pressure and salinity dynamics during 2 legs (Feb. to May 2019 ; July-August 2019). During this field period, one major atmospheric event happened in February 2019 : OMA cyclone. From september 2019 to may 2020, a single station (temperature, salinity, pressure) has been kept in the area of maximum ulva biomass. Sampling strategy avalaible on Sextant - Marine Geographic Information System. More information on PRESENCE project.
DOI: 10.25326/82
title: Aerosols above clouds products from POLDER/PARASOL satellite observations (AERO-AC products).

description: Aerosols above clouds are detected in various region of the world and exert a positive radiative forcing (warming) at global scale. These particles also modify the cloud dynamic by warming the atmosphere above the clouds and modify the cloud microphysics in case of contact at cloud top. These data set provides a unique aerosol satellite product, which includes the above cloud aerosol optical thickness, absorption, corrected cloud optical thickness and associated forcing, which are key parameters for understanding the impacts of aerosols on climate and clouds.
DOI: 10.25739/e1ps-qy48
title: JZhang_LCondon_CONUS_Topography_Sep2020

description: This is a national topographic dataset that can support physically based hydrologic simulations at 1km and 250m spatial resolution over contiguous United States. A R package PriorityFlow (https://github.com/lecondon/PriorityFlow) is used to process the national topographic dataset. The processed dataset has been evaluated nationally using reported drainage areas from the USGS stream gage network and runoff simulations with a physical hydrologic model (ParFlow). The dataset along with all the processing scripts are freely to be downloaded and applied in hydrologic models.
DOI: 10.25925/20220808
title: Multi-laboratory compilation of atmospheric carbon dioxide data for the period 1957-2021; obspack_co2_1_GLOBALVIEWplus_v8.0_2022-08-27

description: This product is constructed using the Observation Package (ObsPack) framework [Masarie et al., 2014; www.earth-syst-sci-data.net/6/375/2014/]. The framework is designed to bring together atmospheric greenhouse gas (GHG) observations from a variety of sampling platforms, prepare them with specific applications in mind, and package and distribute them in a self-consistent and well-documented product. ObsPack products are intended to support GHG budget studies and represent a new generation of cooperative value-added GHG data products. This product includes 587 atmospheric carbon dioxide datasets derived from observations made by 66 laboratories from 23 countries. Data for the period 1957-2021 (where available) are included.
DOI: 10.25925/20221001
title: Multi-laboratory compilation of atmospheric carbon dioxide data for the period 1983-2021; obspack_ch4_1_GLOBALVIEWplus_v5.0_2022-10-17

description: This product is constructed using the Observation Package (ObsPack) framework [Masarie et al., 2014; www.earth-syst-sci-data.net/6/375/2014/]. The framework is designed to bring together atmospheric greenhouse gas (GHG) observations from a variety of sampling platforms, prepare them with specific applications in mind, and package and distribute them in a self-consistent and well-documented product. ObsPack products are intended to support GHG budget studies and represent a new generation of cooperative value-added GHG data products. This product includes 429 atmospheric methane datasets derived from observations made by 54 laboratories from 22 countries. Data for the period 1983-2021 (where available) are included.
DOI: 10.35097/1803
title: MIPAS ozone retrieval version 8: middle atmosphere measurements; the data set

description: The data set comprises ozone data of the Earth's middle atmosphere region for the years 2005-2012 as derived from the middle atmosphere (O3_561), upper atmosphere (O3_661), and noctilucent cloud (O3_761) measurement modes mid infrared spectra measurements collected by the MIPAS instrument on board of the Envisat satellite. The data version is V8.
description: The data is delivered as a set of yearly archive files with each archive containing monthly netCDF files of the respective year.
DOI: 10.5066/p9uut74v
title: Dataset of SPARROW model input and predictions for total nitrogen and total phosphorus in North Carolina

description: To better understand the influence of human activities and natural processes on surface-water quality, the U.S. Geological Survey (USGS) developed the SPARROW (SPAtially Referenced Regressions On Watershed attributes) (Schwarz and others, 2006; Alexander and others, 2008) model. The framework is used to relate water-quality monitoring data to sources and watershed characteristics that affect the fate and transport of constituents to receiving surface-water bodies. The core of the model consists of using a nonlinear-regression equation to describe the non-conservative transport of contaminants from point and nonpoint sources on land to rivers, lakes and estuaries through the stream and river network. In North Carolina, excessive sediment loadings have contributed to the degradation of surface-water quality, and point and nonpoint nutrient sources are recognized as major contributors of this degradation in rivers, lakes and estuaries. The SPARROW model was configured for North Carolina to predict total nitrogen and total phosphorus loads in streams and to evaluate the relative importance and contributions of nitrogen and phosphorus sources and other landscape characteristics. The model time period is 1999 to 2014, centered at 2012. This data release includes model input (data1_vTNTP.zip), model predictions (predict_TN.zip and predict_TP.zip) that represent simulated stream load, model catchment shapefile (model_catchments.zip), and a brief methodology (Methodology_TNTP.pdf). See the 'Methodology_TNTP.pdf' file for model documentation.
DOI: 10.5067/atlas/atl07.005
title: ATLAS/ICESat-2 L3A Sea Ice Height, Version 5
DOI: 10.5067/fwhorayvzce7
title: SUMER Antarctic Ice-shelf Buttressing, Version 1
DOI: 10.5067/vwsabto7zii4
title: ACOS GOSAT/TANSO-FTS Level 2 bias-corrected XCO2 and other select fields from the full-physics retrieval aggregated as daily files V9r
DOI: 10.5281/zenodo.13992359
title: A dataset of three vine water status indicators, weather records and soil water capacity components collected from a rain-fed Mediterranean vineyard

description: This dataset contains three key indicators of vine water status: vine shoot growth index (iG-Apex), predawn leaf water potential (Ψpd), and carbon isotope ratio (δ13C). Additionally, it includes weather data and soil measurements. Spatial data files of studied fields, plots, and some vines’ locations are also provided. The data were collected from a rain-fed vineyard in Southern France, 4 km north of the Mediterranean Sea. Measurements were made at the plot level, with each plot consisting of 10 adjacent grapevines (Vitis Vinifera). The iG-Apex was recorded weekly from June 10 to August 22, 2022, across 70 vine plots. Ψpd was measured weekly between 3 a.m. and 5 a.m. in 12 of these plots using a pressure chamber. On August 23, 2022, 100 berries were sampled from each plot, and 1.5 mL of grape juice was extracted for δ13C analysis using a carbon analyzer and mass spectrometer. The dataset contains 761 iG-Apex measurements (70 time series), 720 Ψpd measurements (60 time series), and 70 single-date δ13C measurements. Weather data were recorded daily in 2022 from a weather station located at the vineyard's center, providing five parameters: cumulative rainfall, relative humidity, and three air temperatures (mean, minimum, and maximum). Soil available water capacity components (horizon thickness, field capacity, permanent wilting point, bulk density, and rock fragment content) were measured in 5 of the 70 plots after prior soil profile wall analyses. Monitoring vine water status is essential for optimizing grape yield and wine quality. While Ψpd and δ13C are considered reference methods, they are expensive and prone to logistical constrains. In contrast, iG-Apex can be collected with minimal time and financial investment. This dataset enables not only the exploration of statistical relationships between the plant-based and soil-based indicators, but also the modeling of Ψpd and/or δ13C using iG-Apex, while accounting for weather and soil influences. All data were georeferenced, allowing future integration of ancillary spatial data sources, like multi-spectral remote sensing images or yield data.