cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.18160/5nzg-jmje
title: FLUXCOM-X-BASE
title: X-BASE

description: The X-BASE products are global fluxes based on the FLUXCOM-X framework which trains machine learning models on in-situ eddy covariance data and uses them to produce these global products. The X-BASE experiment is a basic configuration to serve as a baseline for the FLUXCOM-X framework and includes as predictors the core meteorological data, plant functional type classification as well as MODIS based vegetation indices and land surface temperature. XGBoost was used as the machine learning algorithm.

Published paper: 
Nelson, J. A., Walther, S., Gans, F., Kraft, B., Weber, U., Novick, K., Buchmann, N., Migliavacca, M., Wohlfahrt, G., Šigut, L., Ibrom, A., Papale, D., Göckede, M., Duveiller, G., Knohl, A., Hörtnagl, L., Scott, R. L., Zhang, W., Hamdi, Z. M., Reichstein, M., Aranda-Barranco, S., Ardö, J., Op de Beeck, M., Billesbach, D., Bowling, D., Bracho, R., Brümmer, C., Camps-Valls, G., Chen, S., Cleverly, J. R., Desai, A., Dong, G., El-Madany, T. S., Euskirchen, E. S., Feigenwinter, I., Galvagno, M., Gerosa, G. A., Gielen, B., Goded, I., Goslee, S., Gough, C. M., Heinesch, B., Ichii, K., Jackowicz-Korczynski, M. A., Klosterhalfen, A., Knox, S., Kobayashi, H., Kohonen, K.-M., Korkiakoski, M., Mammarella, I., Gharun, M., Marzuoli, R., Matamala, R., Metzger, S., Montagnani, L., Nicolini, G., O'Halloran, T., Ourcival, J.-M., Peichl, M., Pendall, E., Ruiz Reverter, B., Roland, M., Sabbatini, S., Sachs, T., Schmidt, M., Schwalm, C. R., Shekhar, A., Silberstein, R., Silveira, M. L., Spano, D., Tagesson, T., Tramontana, G., Trotta, C., Turco, F., Vesala, T., Vincke, C., Vitale, D., Vivoni, E. R., Wang, Y., Woodgate, W., Yepez, E. A., Zhang, J., Zona, D., and Jung, M.: X-BASE: the first terrestrial carbon and water flux products from an extended data-driven scaling framework, FLUXCOM-X, Biogeosciences, 21, 5079–5115, https://doi.org/10.5194/bg-21-5079-2024, 2024.
DOI: 10.18160/gcp-2019
title: Supplemental data of Global Carbon Project 2019

description: Supplement containing data related to the 2019 Global Carbon Budget from the Global Carbon Project. The original article is Friedlingstein et al: Global Carbon Budget 2019, Earth Syst. Sci. Data Discussions, 2019. https://doi.org/10.5194/essd-2019-183. Further information is available on: http://www.globalcarbonproject.org/carbonbudget. File Global_Carbon_Budget_2019v0.9.xlsx includes the following: 1. Summary 2. Global Carbon Budget 3. Fossil fuel emissions by Fuel Type 4. Land-use change emissions 5. Ocean Sink 6. Terrestrial sink 7. Historical Budget. File National_Carbon_Emissions_2019v0.9.xlsx includes the following: 1. Summary 2. Territorial  emissions  3. Consumption emissions 4. Emissions transfers 5. Country definitions 6. Disaggregation 7. Aggregation
DOI: 10.18160/gq42-ther
title: ICOS Cities Total Column CO2/CO observations using EM27/SUN FTIR Spectrometers at 5 locations in Munich, Germany (2022-12-01 - 2023-11-30, Level 1)

description: ICOS Cities Total Column CO2 observations using EM27 fotospectrometers at 5 locations in München (DE). 
Total Column GHG time series in ATC format. 
Calibration scale WMOX2017. 
RETRIEVAL_ALGORITHM: proffast-2.3. 
SOFTWARE_REPOSITORY: https://github.com/tum-esm/em27-retrieval-pipeline. 
Documentation:. 
https://doi.org/10.5194/amt-11-2173-2018. 
https://doi.org/10.5194/amt-14-1111-2021. 
https://doi.org/10.21105/joss.05131.
DOI: 10.5281/zenodo.17047245
title: 4233 Puppy's First Day covers
DOI: 10.5281/zenodo.17047246
title: 4233 Puppy's First Day covers
DOI: 10.6084/m9.figshare.29011139
title: raw data

description: Data belonging to the MD project named <i>Competitivity of commensal </i><i>Streptococcus in CF lung disease</i>
DOI: 10.6084/m9.figshare.29011139.v1
title: raw data

description: Data belonging to the MD project named <i>Competitivity of commensal </i><i>Streptococcus in CF lung disease</i>
DOI: 10.5281/zenodo.17047151
title: Identified Papers
DOI: 10.5281/zenodo.17047150
title: Identified Papers
DOI: 10.15468/dl.djqug6
title: Occurrence Download

description: A dataset containing 613 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Haplosciadium abyssinicum",
 "Geometry POLYGON ((-17.62504 -34.81917, 51.13387 -34.81917, 51.13387 37.34999, -17.62504 37.34999, -17.62504 -34.81917))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 613 records from 17 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022553-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zkwxst
title: Occurrence Download

description: A dataset containing 19629 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Equus quagga"
 ]
}

 The dataset includes 19629 records from 110 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022552-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6xcdrm
title: Occurrence Download

description: A dataset containing 2291 species occurrences available in GBIF matching the query:
{
 "and" : [
 "ScientificName is Prunus maritima Marshall",
 "Year is greater than or equal to 1990",
 "Year is less than or equal to 2025",
 "HasCoordinate is true"
 ]
}

 The dataset includes 2291 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022522-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.30039418
title: Supplementary Table 5 for the paper "Multi-omics analysis of laser-captured ballooned hepatocytes reveals adaptive cell dormancy in metabolic dysfunction-associated steatohepatitis"

description: Hepatocyte ballooning is the histological hallmark of metabolic dysfunction-associated steatohepatitis (MASH). In this study, three MASH models were generated to study the molecular functional characteristics of ballooned hepatocytes using laser capture microdissection, and a comprehensive multi-omics analysis was conducted.
DOI: 10.6084/m9.figshare.30039418.v2
title: Supplementary Table 5 for the paper "Multi-omics analysis of laser-captured ballooned hepatocytes reveals adaptive cell dormancy in metabolic dysfunction-associated steatohepatitis"

description: Hepatocyte ballooning is the histological hallmark of metabolic dysfunction-associated steatohepatitis (MASH). In this study, three MASH models were generated to study the molecular functional characteristics of ballooned hepatocytes using laser capture microdissection, and a comprehensive multi-omics analysis was conducted.
DOI: 10.18160/0hys-ff7x
title: European Obspack compilation of atmospheric carbon dioxide data from ICOS stations for the period 1972-2025; obspack_co2_466_GV_ICOSFT2025.1_20250120

description: This  data package contains high accuracy CO2 dry air mole fractions from 39 ICOS European observatories at in total 95 observation levels, collected by the ICOS Atmosphere Thematic Centre (ATC) and provided by the station contributors. The package includes the 2025.1 FastTrack update of the Globalview EU data product and is intended for use in carbon cycle inverse modeling, model evaluation, and satellite validation studies.  Please report errors and send comments regarding this product to the ObsPack originators. Please read carefully the ObsPack Fair Use statement and cite appropriately. Please review the release notes for the associated Obspack product at www.esrl.noaa.gov/gmd/ccgg/obspack/release_notes.html. Metadata for this product are available at https://commons.datacite.org/doi.org/10.18160/0HYS-FF7X . Please visit http://www.gml.noaa.gov/ccgg/obspack/ for more information on Obspack.
DOI: 10.6084/m9.figshare.30039418.v1
title: Supplementary Table 5 for the paper "Multi-omics analysis of laser-captured ballooned hepatocytes reveals adaptive cell dormancy in metabolic dysfunction-associated steatohepatitis"

description: Hepatocyte ballooning is the histological hallmark of metabolic dysfunction-associated steatohepatitis (MASH). In this study, three MASH models were generated to study the molecular functional characteristics of ballooned hepatocytes using laser capture microdissection, and a comprehensive multi-omics analysis was conducted.
DOI: 10.18160/fe8d-2apz
title: European Obspack compilation of atmospheric methane data from ICOS stations for the period 1984-2025; obspack_ch4_466_GV_ICOSFT2025.1_20250120

description: This  data package contains high accuracy CH4 dry air mole fractions from 39 ICOS European observatories at in total 95 observation levels, collected by the ICOS Atmosphere Thematic Centre (ATC) and provided by the station contributors. The package includes the 2025.1 FastTrack update of the Globalview EU data product and is intended for use in carbon cycle inverse modeling, model evaluation, and satellite validation studies.  Please report errors and send comments regarding this product to the ObsPack originators. Please read carefully the ObsPack Fair Use statement and cite appropriately. Please review the release notes for the associated Obspack product at www.esrl.noaa.gov/gmd/ccgg/obspack/release_notes.html. Metadata for this product are available at https://commons.datacite.org/doi.org/10.18160/FE8D-2APZ. Please visit http://www.gml.noaa.gov/ccgg/obspack/ for more information on Obspack.
DOI: 10.18160/r9x0-bw7t
title: Parameters for the Vegetation Photosynthesis and Respiration Model VPRM

description: Parameters for the Vegetation Photosynthesis and Respiration Model VPRM (Mahadevan et al., 2008) have been optimized using 2007 CO2 flux data (NEE) for 46 sites within Europe. Optimized parameters are available for the domain of Europe. Details are given in the header of the parameter file.
DOI: 10.18160/df9x-qmrk
title: Warm winter 2020 ecosystem eddy covariance flux product from Vielsalm

description: Public release of the observational data product for eddy covariance fluxes at Vielsalm, covering the period 1996-2020
description: This study was funded by the Service Public de Wallonie (Convention 1217769).
DOI: 10.18160/bs3c-cvq0
title: Warm winter 2020 ecosystem eddy covariance flux product from Selhausen Juelich

description: Public release of the observational data product for eddy covariance fluxes at Selhausen Juelich, covering the period 2011-2020
description: We gratefully acknowledge the support by the SFB-TR32 ‘‘Patterns in Soil-Vegetation-Atmosphere Systems: Monitoring, Modeling, and Data Assimilation’’ funded by the Deutsche Forschungsgemeinschaft (DFG) and TERENO (TERrestrial ENvironmental Observatories) funded by the Helmholtz Association.
See also:
https://doi.org/10.1016/j.agrformet.2018.11.003
https://doi.org/10.1007/s10546-017-0316-4
DOI: 10.18160/yvbq-k6wf
title: Warm winter 2020 ecosystem eddy covariance flux product from Brasschaat

description: Public release of the observational data product for eddy covariance fluxes at Brasschaat, covering the period 1996-2020
description: The financial support of the Research Foundation-Flanders (FWO) to the ICOS infrastructure is acknowledged
DOI: 10.18160/rrbd-7eme
title: Warm winter 2020 ecosystem eddy covariance flux product from Hohes Holz

description: Public release of the observational data product for eddy covariance fluxes at Hohes Holz, covering the period 2015-2020
description: Funding by German Federal Ministry of Education and Research (BMBF, ICOS-D, 01LK1224G) and Helmholtz Centre for Environmental Research Leipzig, UFZ, Germany is acknowledged.
See also:
https://doi.org/10.1007/s12665-016-6327-5
https://doi.org/10.1111/j.1600-0889.2007.00259.x
DOI: 10.18160/hqja-pcxx
title: Warm winter 2020 ecosystem eddy covariance flux product from Hyltemossa

description: Public release of the observational data product for eddy covariance fluxes at Hyltemossa, covering the period 2015-2020
description: Swedish Research Council (SRC) co-financed ICOS Sweden under Grant number 2015-06020
DOI: 10.18160/x1j0-h684
title: Warm winter 2020 ecosystem eddy covariance flux product from Fontainebleau-Barbeau

description: Public release of the observational data product for eddy covariance fluxes at Fontainebleau-Barbeau, covering the period 2005-2020
DOI: 10.18160/msrt-t1ya
title: Warm winter 2020 ecosystem eddy covariance flux product from Bilos

description: Public release of the observational data product for eddy covariance fluxes at Bilos, covering the period 2014-2020
DOI: 10.18160/xtbv-xcjv
title: Warm winter 2020 ecosystem eddy covariance flux product from Hyytiälä

description: Public release of the observational data product for eddy covariance fluxes at Hyytiälä, covering the period 1996-2020
DOI: 10.18160/87r1-0hrm
title: Warm winter 2020 ecosystem eddy covariance flux product from Norunda

description: Public release of the observational data product for eddy covariance fluxes at Norunda, covering the period 2014-2020
description: Swedish Research Council (SRC) co-financed ICOS Sweden under Grant number 2015-06020
DOI: 10.18160/xwnx-9fwc
title: Warm winter 2020 ecosystem eddy covariance flux product from Svartberget

description: Public release of the observational data product for eddy covariance fluxes at Svartberget, covering the period 2014-2020
description: Financial support from the Swedish Research Council and contributing research institutes to the Swedish Integrated Carbon Observation System (ICOS-Sweden) Research Infrastructure as well as from the Swedish Infrastructure for Ecosystem Science (SITES) is acknowledged
DOI: 10.18160/rq8p-2z4r
title: Data supplement to: Tian et al (2023): Global Nitrous Oxide Budget 1980-2020, Earth Syst. Sci. Data Discuss. [preprint], https://doi.org/10.5194/essd-2023-401, in review

description: Nitrous oxide (N2O) is a long-lived potent greenhouse gas and stratospheric ozone-depleting substance, which has been accumulating in the atmosphere since the pre-industrial period. The mole fraction of atmospheric N2O has increased by nearly 25 % from 270 parts per billion (ppb) in 1750 to 336 ppb in 2022, with the fastest annual growth rate since 1980 of more than 1.3 ppb yr-1 in both 2020 and 2021. As a core component of our global greenhouse gas assessments coordinated by the Global Carbon Project (GCP), we present a global N2O budget that incorporates both natural and anthropogenic sources and sinks, and accounts for the interactions between nitrogen additions and the biochemical processes that control N2O emissions. We use Bottom-Up (BU: inventory, statistical extrapolation of flux measurements, process-based land and ocean modelling) and Top-Down (TD: atmospheric measurement-based inversion) approaches.  We provide a comprehensive quantification of global N2O sources and sinks in 21 natural and anthropogenic categories in 18 regions between 1980 and 2020. We estimate that total annual anthropogenic N2O emissions increased 40 % (or 1.9 Tg N yr-1) in the past four decades (1980–2020). Direct agricultural emissions in 2020, 3.9 Tg N yr−1 (best estimate) represent the large majority of anthropogenic emissions, followed by other direct anthropogenic sources (including ‘Fossil fuel and industry’, ‘Waste and wastewater’, and ‘Biomass burning’ (2.1 Tg N yr−1), and indirect anthropogenic sources (1.3 Tg N yr−1). For the year 2020, our best estimate of total BU emissions for natural and anthropogenic sources was 18.3 (lower-upper bounds: 10.5–27.0) Tg N yr-1, close to our TD estimate of 17.0 (16.6–17.4) Tg N yr-1. For the period 2010–2019, the annual BU decadal-average emissions for natural plus anthropogenic sources were 18.1 (10.4–25.9) Tg N yr-1 and TD emissions were 17.4 (15.8–19.20 Tg N yr-1. The once top emitter Europe has reduced its emissions since the 1980s by 31 % while those of emerging economies have grown, making China the top emitter since the 2010s. The observed atmospheric N2O concentrations in recent years have exceeded projected levels under all scenarios in the Coupled Model Intercomparison Project Phase 6 (CMIP6), underscoring the urgency to reduce anthropogenic N2O emissions. To evaluate mitigation efforts and contribute to the Global Stocktake of the United Nations Framework Convention on Climate Change, we propose establishing a global network for monitoring and modeling N2O from the surface through the stratosphere. The data presented in this work can be downloaded from this data collection at https://doi.org/10.18160/RQ8P-2Z4R (Tian et al. 2023)
DOI: 10.18160/z0gf-mcwh
title: Part of: Supplemental data to: Adcock et al, 2023: 12-years of continuous atmospheric O2, CO2 and APO data from Weybourne Atmospheric Observatory in the United Kingdom

description: This is the data supplement presented in Adcock et al. 2023 in which we present a 12-year time series of continuous atmospheric measurements of O2 and CO2 at the Weybourne Atmospheric Observatory in the United Kingdom between May 2010 and December 2021. These measurements are combined into the term Atmospheric Potential Oxygen (APO), a tracer that is conservative with respect to terrestrial biosphere processes. The measurement system was installed in October 2007, however, between October 2007 and May 2010 the system was still being developed and underwent major changes, leading to large gaps in the dataset and much of the data being of unknown quality and with calibration scale issues, therefore the data from this period have not been included. The measurements are ongoing. The CO2 is reported in ppm units and was measured using a non-dispersive infrared (NDIR) CO2 analyser from Siemens Corp., model Ultramat 6E. The O2 is reported as O2/N2 in per meg units and was measured using a dual lead fuel cell O2 analyser, Oxzilla from Sable Systems International Inc. APO is reported in per meg units and is calculated using a terrestrial biosphere exchange ratio of 1.10 mol mol-1 and a standard atmospheric mole fraction for O2 of 0.2095. We report hourly averages of 2 minute measurements. "NA" is used when there is no data. Gaps in the data are due to routine running of calibration cylinders, maintenance & removal of data with known technical issues. CO2 data were transferred onto the WMO NOAA X2019 calibration scale using Equation 6 in Hall et al., 2021, doi.org/10.5194/amt-14-3015-2021. O2 data are on the Scripps Institution of Oceanography (SIO) ‘S2’ scale that was used by SIO from April 1995 to August 2017.
DOI: 10.18160/1ja9-vjev
title: Warm winter 2020 ecosystem eddy covariance flux product from Davos

description: Public release of the observational data product for eddy covariance fluxes at Davos, covering the period 1997-2020
description: Funding from the SNF project ICOS-CH (20FI21_148992, 20FI20_173691) and from ETH Zurich is greatly acknowledged.
See also:
https://doi.org/10.5194/bg-11-1627-2014
DOI: 10.18160/kvac-kyex
title: Warm winter 2020 ecosystem eddy covariance flux product from Gebesee

description: Public release of the observational data product for eddy covariance fluxes at Gebesee, covering the period 2001-2020
description: FS, JPD, and CBr acknowledge funds from the German Federal Ministry of Food and Agriculture (BMEL) received through the Thünen Institute of Climate-Smart Agriculture. DE-Geb site installation and operation was supported by the Max-Planck Institute for Biogeochemistry (MPI-BGC), the German Federal Ministries of Education and Research (BMBF) and Transport and Digital Infrastructure (BMVI).
DOI: 10.18160/d86p-b2w5
title: Warm winter 2020 ecosystem eddy covariance flux product from Lamasquere

description: Public release of the observational data product for eddy covariance fluxes at Lamasquere, covering the period 2005-2020
DOI: 10.18160/8fbv-1k18
title: Warm winter 2020 ecosystem eddy covariance flux product from Tharandt

description: Public release of the observational data product for eddy covariance fluxes at Tharandt, covering the period 1996-2020
description: The funding by EU projects EUROFLUX, CARBOEUROFLUX and CARBOEUROPE-IP, by German BMBF project ICOS-D and by the state of Saxony (TU Dresden, LfULG) is greatly appreciated
See also:
https://doi.org/10.1016/j.agrformet.2010.03.008
https://doi.org/10.1111/j.1600-0889.2007.00259.x
DOI: 10.18160/epyb-psfm
title: Warm winter 2020 ecosystem eddy covariance flux product from San Rossore 2

description: Public release of the observational data product for eddy covariance fluxes at San Rossore 2, covering the period 2013-2020
DOI: 10.18160/kctm-skhm
title: EC flux time series archive (L2), Romainville, 2024-01-19–2024-06-19

description: Half-hourly quality-controlled fluxes of CO2 and co-emitted species based on data collected at the Romainville site (FR-Rmv) in Paris, France using a MIRO MGA7 Multispecies Gas Analyser, and processed using EddyPro software. Two files are included: "full output" (FR-Rmv_Full_Output.csv) and "QC details" (FR-Rmv_QC_Details.csv). The data is part of ICOS Cities deliverable D3.10.
DOI: 10.18160/afx5-2dg3
title: EC flux time series archive (L2), Hardau, 2022-08-15–2023-04-21

description: Carbonyl sulfide (COS), carbon dioxide (CO2) and carbon monoxide (CO) eddy covariance fluxes (measured at the Hardau tall tower (CH-Har) in Zurich, Switzerland. The data are provided in monthly files, with 60 minute resolution. This dataset is part of the ICOS Cities deliverable D3.10.
DOI: 10.18160/76ax-21zc
title: EC flux time series archive (L2), Hardau, 2022-08-01–2023-03-31

description: Half-hourly quality-controlled fluxes of CO2 and co-emitted species based on data collected at the Hardau tower (CH-Har) in Zurich, Switzerland using a MIRO MGA7 Multispecies Gas Analyser, and processed using EddyPro software. Two files are included: "full output" (CH-Har_Full_Output.csv) and "QC details" (CH-Har_QC_Details.csv). The data is part of the ICOS Cities deliverable D3.10.
DOI: 10.18160/3676-f51p
title: EC flux time series archive (L2), Oberpostdirektion, 2024-06-28–2025-01-01

description: Half-hourly quality-controlled fluxes of CO2 and co-emitted species based on data collected at the Oberpostdirektion station (DE-Opd) in Munich, Germany using a MIRO MGA7 Multispecies Gas Analyser, and processed using EddyPro software. Two files are included: "full output" (DE-Opd_Full_Output.csv) and "QC details" (DE-Opd_QC_Details.csv). The data is part of ICOS Cities deliverable D3.10.
DOI: 10.18160/g039-hzt1
title: EC flux time series archive (L2), Hardau, 2022-08-15–2023-04-21

description: Carbonyl sulfide (COS), carbon dioxide (CO2) and carbon monoxide (CO) eddy covariance fluxes (measured at the Hardau tall tower (CH-Har) in Zurich, Switzerland. The data are provided in monthly files, with 30 minute resolution. The data is part of the ICOS Cities deliverable D3.10.
DOI: 10.18160/gcp-ch4-2019
title: Supplemental data of the Global Carbon Project Methane Budget 2019

description: Supplement containing data related to the 2019 Global Carbon Methane Budget from the Global Carbon Project. The original article is: Saunois et al: . https://doi.org/10.5194/essd -12-1561-2020 Further information is available on: https://www.globalcarbonproject.org/methanebudget/. File Global_Methane_Budget_2000_2017_v2.0.xlsx includes the following: 1. Summary. 2. CH4 observations. 3. Antropogenic emissions. 4. 2000-2009 Bottom-Up Budget. 5. 2000-2009 Top-Down budget. 6. 2008-2017 Bottom-Up budget. 7. 2008-2017 Top-Down budget. 8. 2007 Bottom-Up budget. 9. 2017 Top-Down budget. 10. Contributor list.
DOI: 10.18160/rw69-mp2y
title: Carbosense T and RH Data - Release October 2019

description: Temperature and relative humidity measurements from sensor units operated in the Carbosense network.
DOI: 10.15468/dl.pfdgt8
title: Occurrence Download

description: A dataset containing 675 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Rubus ellipticus obcordatus"
 ]
}

 The dataset includes 675 records from 32 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022554-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.