cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.7054574
title: NASA GSFC Firn Densification Model version 1.2.1 (GSFC-FDMv1.2.1) for the Greenland and Antarctic Ice Sheets: 1980-2021

description: <strong>Overview</strong> The NASA GSFC-FDM v1.2.1 provides the evolution of firn air content (FAC), surface mass balance (SMB) (and its individual components), and total firn height change over the Greenland and Antarctic Ice Sheets from January 1, 1980 to September 30, 2021 at 5-day temporal resolution. The model uses atmospheric forcing from NASA GMAO's Modern-Era Retrospective Analysis for Research and Applications, Version 2 (MERRA-2) global atmospheric reanalysis, combined with a higher resolution replay (see Medley et al., 2022) as input into the Community Firn Model (CFMv1.1.6) to simulate the evolution of firn properties across the ice sheets. The GSFC-FDMv1.2.1 is provided on a 12.5 km x 12.5 km North/South Polar Stereographic Grid, depending on the ice sheet. For a thorough description of how the GSFC-FDMv1.2.1 was generated see Medley et al. (2022) in <em>The Cryosphere</em>.
description: This work was funded by NASA's ICESat-2 Project Science Office (PSO) as part of efforts to generate ice-sheet mass change estimates from NASA's ICESat-2.
description: {"references": ["Medley, B., Neumann, T. A., Zwally, H. J., Smith, B. E., and Stevens, C. M.: Simulations of firn processes over the Greenland and Antarctic ice sheets: 1980\u20132021, The Cryosphere, 16, 3971\u20134011, https://doi.org/10.5194/tc-16-3971-2022, 2022."]}
DOI: 10.5281/zenodo.7472185
title: Reconstructed Aneto glacier surfaces from historic aerial image photogrammetry (1981) and remote sensing techniques (2020, 2021, 2022)

description: The Aneto Glacier, is the largest glacier in the Pyrenees. Its shrinkage and wastage have been continuous in recent decades, and there are signs of accelerated melting in recent years. In this study, changes in the surface and ice thickness of the Aneto Glacier from 1981 to 2022 are investigated using historical aerial imagery, airborne LiDAR point clouds, and UAV imagery. A GPR survey conducted in 2020, combined with data from photogrammetric analyses, allowed us to reconstruct the current ice thickness and also the existing ice distribution in 1981 and 2011. Over the last 41 years, the total glaciated area has shrunk by 64.7% and the ice thickness has decreased, on average, by 30.5 m. The mean remaining ice thickness in autumn 2022 was 11.9 m, as against the mean thicknesses of 32.9 m, 19.2 m reconstructed for 1981 and 2011 and 15.0 m observed in 2020 respectively. The results demonstrate the critical situation of the glacier, with an imminent segmentation into two smaller ice bodies and no evidence of an accumulation zone. We also found that the occurrence of an extremely hot and dry year, as observed in the 2021–2022 season, leads to a drastic degradation of the glacier, posing a high risk to the persistence of the Aneto Glacier, a situation that could extend to the rest of the Pyrenean glaciers in a relatively short time.
DOI: 10.5287/ora-2nanwp4rk
title: SISALv3: Speleothem Isotopes Synthesis and AnaLysis database version 3.0

description: How to cite this dataset:

Kaushal, Nikita, Lechleitner, Franziska, Wilhelm, Micah and SISAL working group members (2024): SISALv3: Speleothem Isotopes Synthesis and AnaLysis database version 3.0. University of Oxford. Dataset. DOI: 10.5287/ora-2nanwp4rk

This is the latest version of this item. Previous versions of the item can be found at the following links:

• SISAL (Speleothem Isotopes Synthesis and AnaLysis Working Group) database Version 1.0. (deposited 04 Jun 2018 07:14)

• SISAL (Speleothem Isotopes Synthesis and AnaLysis Working Group) database version 1b. (deposited 13 Feb 2019 15:30)

• SISAL (Speleothem Isotopes Synthesis and AnaLysis Working Group) database version 2.0. (deposited 20 Feb 2020 11:22)

• SISAL (Speleothem Isotopes Synthesis and AnaLysis Working Group) database version 2.0. (deposited 13 Jul 2020 10:07)

• SISAL (Speleothem Isotopes Synthesis and AnaLysis Working Group) database version 3.0. (deposited 25 Aug 2023 (**NB: This version of the dataset has been superseded by a revised iteration: SISALv3: Speleothem Isotopes Synthesis and AnaLysis database version 3.0 (http://dx.doi.org/10.5287/ora-2nanwp4rk) **)

Stable isotope and trace elements records from speleothems provide information on past climate changes, most particularly information that can be used to reconstruct past changes in precipitation and atmospheric circulation. SISAL (Speleothem Isotope Synthesis and Analysis) is an international working group of the Past Global Changes (PAGES) project. The working group aims to provide a comprehensive compilation of speleothem isotope and trace elements records for climate reconstruction and model evaluation. SISALv3 database contains 892 oxygen isotope, 620 carbon isotope, 95 Mg/Ca, 85 Sr/Ca, 52 Ba/Ca, 25 U/Ca, 29 P/Ca and 14 Sr isotope records from 838 speleothems from 365 cave sites worldwide, and metadata describing the cave settings and age models of these records. This version contains standardized age-depth models. There are also 51 datafiles containing trace element data and 246 image files of cave maps and entity scans.

In order to assure traceability, any presentation, report, or publication that uses the SISALv3 database should cite Atsawawaranunt et al. (2018; https://doi.org/10.5194/essd-10-1687-2018), Comas-Bru et al. (2019; https://doi.org/10.5194/cp-15-1557-2019), Comas-Bru et al. (2020; https://doi.org/10.5194/essd-2020-39) and Kaushal et al. (2023; https://doi.org/10.5287/ora-mzy8pozvk). If using individual sites, the literature citations for published work provided in the database should also be cited. Contact information of data contributors of unpublished data is also provided and they should be contacted when unpublished records are used on an individual basis. If cave site or entity (speleothem) images stored into linked repository folder are to be used, corresponding citation, copyright and license information must be adhered to. This information is provided in an excel file in the repository.
DOI: 10.5439/1996113
title: arscl1cloth (c1)

description: arscl1cloth
DOI: 10.6073/pasta/6322ad40dfbc0bbc037994490218e28e
title: SBC LTER: Ocean: Time-series: Mid-water SeaFET pH and CO2 system chemistry with surface and bottom Dissolved Oxygen at Santa Barbara Harbor/Stearns Wharf(SBH), 2012-2017

description: Calibrated pH (Total scale, SeaFET sensor) an disoolved oxygen (miniDOT)data were
 collected from Santa Barbara Harbor/Stearns Wharf in the Santa Barbara Channel (site ID:
 SBH). pH data are accompanied by in situ temperature and associated carbonate chemistry
 parameters. The SeaFET instrument is located about 4 meters from the surface, with other
 moored instruments. Associated carbonate chemistry parameters were calculated with the
 CO2calc programs from USGS, and include: partial pressure and fugosity of CO2,
 concentrations of bicarbonate, carbonate and hyrdroxide ion, Omega (saturation state) of
 calcite and aragonite. Dissolved oxygen sensors (miniDOT, PME) were added in 2014, and are
 mounted near the ocean surface and near the seafloor, and also report temperature. All data
 have been interpolated to a 20 minute time interval for compatibility with other SBC LTER
 moored instrument data. Data coverage is 2012-09-15 to 2016-09-14. The update of this
 dataset was terminated in 2019. All data from this site have been concatenated with the pH data from
 the other sites and merged into one data package:
 https://portal.edirepository.org/nis/mapbrowse?scope=knb-lter-sbc&identifier=6005
DOI: 10.6073/pasta/8efa600f49c3a171b13d05d70fad1d98
title: SBC LTER: pH time series: Water-sample pH and CO2 system chemistry, ongoing since 2011

description: Data are a time-series of pH and carbonate chemistry in
 manually-collected sea water samples from sixteen near-shore
 locations and 20 locations along the Santa Barbara Channel,
 California, USA, and intended to benchmark data from moored pH
 instruments. Data collection began in June 2011 and is ongoing.
 Time-series for pH sensors deployed in the field (e.g., SeaFET) are
 available elsewhere.
 
 
 Discrete seawater samples were collected by hand or using a Niskin
 bottle. In the laboratory, samples were analyzed for pH (total
 scale) and total alkalinity. Two parameters were used to calculate
 the full suite of carbonate chemistry parameters using the CO2calc
 algorithms. Program outputs are included for laboratory conditions
 as input, and adjusted for situ temperature. See Methods for more
 information, e.g., Lunden, et al.
 
 
 Data were collected by a consortium of research groups with the
 intent to leverage their collective assets and expertise. These
 groups (and sponsors) include Santa Barbara Coastal LTER (NSF),
 OMEGAS Project (NSF), Passow Lab (Calif. State Water Board), Hofmann
 Lab (NSF, CINMS, US NPS).
DOI: 10.13127/thaao/dli
title: Downward Longwave Irradiance at the Thule High Arctic Atmospheric Observatory (THAAO_DLI)
title: THAAO_DLI

description: Measurements of downward shortwave (SW) and longwave (LW) irradiances started in 2009 with the installation of one pyranometer and one pyrgeometer on the roof of building 1971 (about 5 m agl). Different models of instruments have been operated: Eppley PSP and Kipp&Zonen CMP21 pyranometers for SW irradiance, and Eppley PIR and Kipp&Zonen CGR4 pyrgeometers for LW irradiance. See https://www.thuleatmos-it.it/instruments/radiometers for additional details.
Radiometers are ventilated to prevent ice/dew formation on their domes. Data are recorded with a 30 second time step and are used to calculate hourly means and standard deviations. Corrections are applied to SW measurements in order to remove the thermal offset and to take into account the cosine response of each pyranometer. SW and LW irradiance measurements from Kipp&Zonen models are obtained accounting for the dependance of the radiometers’ sensitivity on temperature. Regular calibrations allow our team to monitor changes of the sensitivity with time. Quality checks are perfomed based on tests recommended for sensors enrolled in the Baseline Surface Radiation Network (BSRN).
DOI: 10.13127/thaao/dsi
title: Downward Shortwave Irradiance at the Thule High Arctic Atmospheric Observatory (THAAO_DSI)
title: THAAO_DSI

description: Measurements of downward shortwave (SW) and longwave (LW) irradiances started in 2009 with the installation of one pyranometer and one pyrgeometer on the roof of building 1971 (about 5 m agl). Different models of instruments have been operated: Eppley PSP and Kipp&Zonen CMP21 pyranometers for SW irradiance, and Eppley PIR and Kipp&Zonen CGR4 pyrgeometers for LW irradiance. See https://www.thuleatmos-it.it/instruments/radiometers for additional details.
Radiometers are ventilated to prevent ice/dew formation on their domes. Data are recorded with a 30 second time step and are used to calculate hourly means and standard deviations. Corrections are applied to SW measurements in order to remove the thermal offset and to take into account the cosine response of each pyranometer. SW and LW irradiance measurements from Kipp&Zonen models are obtained accounting for the dependance of the radiometers’ sensitivity on temperature. Regular calibrations allow our team to monitor changes of the sensitivity with time. Quality checks are perfomed based on tests recommended for sensors enrolled in the Baseline Surface Radiation Network (BSRN).
DOI: 10.13127/thaao/uli
title: Upward Longwave Irradiance at the Thule High Arctic Atmospheric Observatory (THAAO_ULI)
title: THAAO_ULI

description: Downward-looking radiometers have been installed on July 2016 to collect the upward component of the SW and LW irradiances. Eppley PSP pyranometer and PIR pyrgeometer are located about 100 m West of THAAO on a metal frame at about 2.3 m agl. Electronic levels monitor any possible deviation from the horizontal in the North-South and Est-West directions. See https://www.thuleatmos-it.it/instruments/radiometers for additional details.
Radiometers are not ventilated. Data are recorded with a 30 second time step and are used to calculate hourly means and standard deviations. Regular calibrations allow our team to monitor changes of the sensitivity with time. Quality checks are perfomed based on tests recommended for sensors enrolled in the Baseline Surface Radiation Network (BSRN).
DOI: 10.13127/thaao/usi
title: Upward Shortwave Irradiance at the Thule High Arctic Atmospheric Observatory (THAAO_USI)
title: THAAO_USI

description: Downward-looking radiometers have been installed on July 2016 to collect the upward component of the SW and LW irradiances. Eppley PSP pyranometer and PIR pyrgeometer are located about 100 m West of THAAO on a metal frame at about 2.3 m agl. Electronic levels monitor any possible deviation from the horizontal in the North-South and Est-West directions. See https://www.thuleatmos-it.it/instruments/radiometers for additional details.
Radiometers are not ventilated. Data are recorded with a 30 second time step and are used to calculate hourly means and standard deviations. Regular calibrations allow our team to monitor changes of the sensitivity with time. Quality checks are perfomed based on tests recommended for sensors enrolled in the Baseline Surface Radiation Network (BSRN).
DOI: 10.18739/a2j598
title: Air Temperature Observations in the Arctic 1979-2004
DOI: 10.22008/fk2/f9p03l
title: Greenland Geothermal Heat Flow Database and Map

description: Database of all geothermal heat flow measurements within 500 km of Greenland's coastline with self-consistent machine-learning geothermal heat flow map over all onshore and offshore areas. Updated as new measurements become available.
DOI: 10.24381/cds.2d78664e
title: Reforecasts of river discharge and related data by the Global Flood Awareness System
DOI: 10.24381/cds.ff1aef77
title: River discharge and related forecasted data by the Global Flood Awareness System
DOI: 10.25919/xs0b-an24
title: Polar Cell Aerosol Nucleation - atmospheric measurements from the RV Investigator voyage IN2017_V01

description: This data collection contains aerosol and trace gas measurements taken aboard the voyage IN2017_V01. This voyage, spanning January - March 2017, departed Hobart and spent six weeks in the seasonal ice zone off the coast of the Totten Glacier, East Antarctica. Data included includes aerosol number concentrations (CN3), aerosol size distributions, cloud condensation nuclei (CCN) concentrations and measurements of radon-222.
DOI: 10.4121/21841284
title: Dataset belonging to the article: REMA reveals spatial variability within the Dotson Melt Channel

description: Eulerian and Lagrangian elevation changes and basal melt rates of the Dotson Ice Shelf. All datasets come as a trend throuhgout our study period 2010/11-2017/18 and on a 3-yearly basis. Further, all datasets are provided at 50 m and 250 m resolution. For a further description please see the connected publication (to be submitted to The Cryosphere).
DOI: 10.48690/1524211
title: LandScan Global 2016

description: Using an innovative approach that combines Geographic Information Science, remote sensing technology, and machine learning algorithms, ORNL's LandScan is the community standard for global population distribution. At 30 arc-second (approximately 1 km) resolution, LandScan is the finest resolution global population distribution data available representing an 'ambient population' (average over 24 hours). The LandScan algorithm, an R&D 100 Award Winner, uses spatial data, high-resolution imagery exploitation, and a multi-variable dasymetric modeling approach to disaggregate census counts within an administrative boundary. LandScan population data are spatially explicit - unlike tabular Census data. Since no single population distribution model can account for the differences in spatial data availability, quality, scale, and accuracy as well as the differences in cultural settlement practices, LandScan population distribution models are tailored to match the data conditions and geographical nature of each individual country and region. By modeling an ambient population, LandScan Global captures the full potential activity space of people throughout the course of the day and night rather than just a residential location.
DOI: 10.5067/d9s8zochcade
title: OCO-3 Level 2 geolocated XCO2 retrievals results, physical model, Retrospective Processing V10r
DOI: 10.5067/sentinel5p/s5p_l1b_ra_bd1.1
title: Sentinel-5P TROPOMI L1B Radiance product band 1 (UV detector)
DOI: 10.5067/stot5i0u1wvi
title: ASO L4 Lidar Snow Depth 50m UTM Grid, Version 1
DOI: 10.5281/zenodo.3985916
title: GulfDrifters: A consolidated surface drifter dataset for the Gulf of Mexico

description: This dataset consists of all publicly available surface drifter trajectories from the Gulf of Mexico, subjected to a uniform quality control and processing methodology and interpolated onto hourly resolution.  Full details as to the datasets and processing may be found in


Lilly, J. M. and P. Pérez-Brunius (2021).  A gridded surface current product for the Gulf of Mexico from consolidated drifter measurements. Earth System Science Data, 13: 645–669.  https://doi.org/10.5194/essd-13-645-2021.


A related dataset is the GulfFlow space/time gridded velocity product, comprised of these data together with three proprietary experiments.  GulfFlow is available at https://zenodo.org/record/3978793 for noncommercial use. 


One of those proprietary experiments is the Deep Water Dispersion Experiment (DWDE).  This is available for noncommercial use at https://zenodo.org/record/3979964, together with a version of the GulfDrifters dataset, GulfDriftersDWDE, that also incorporates the DWDE data.
DOI: 10.5281/zenodo.5105689
title: A 1 km global cropland dataset from 10000 BCE to 2100 CE

description: The following data are a part of the 1 km global cropland dataset from 10000 BCE to 2100 CE. They are the 1 km resolution global cropland maps for several representative years and scenarios from past to future. The map values indicate the proportion of cropland within 1×1 km grid cell. The complete 1 km global cropland dataset from 10000 BCE to 2100 CE for all years and scenarios can be downloaded at https://doi.org/10.5281/zenodo.5759237 and can be viewed at https://cbw.users.earthengine.app/view/globalcroplanddataset <strong>Citations:</strong> When using this dataset, please cite both the dataset and the following data description article: <em>Cao, B., Yu, L., Li, X., Chen, M., Li, X., Hao, P., and Gong, P.: A 1 km global cropland dataset from 10 000 BCE to 2100 CE, Earth Syst. Sci. Data, 13, 5403–5421, https://doi.org/10.5194/essd-13-5403-2021, 2021. </em>
DOI: 10.5281/zenodo.5420415
title: Average daily air temperature, precipitation and relative sunshine duration for Vallon de Nant catchment, extracted from gridded MeteoSwiss data (1961-2020)

description: This excel file contains time series of daily temperature, precipitation and relative sunshine duration obtained as the spatial average of gridded data sets. The underlying original gridded data sets produced by MeteoSwiss are known as RhiresD, TabsD and SrelD. All meta data are included in the excel file. The data can e.g. be used for hydrological modelling. Comparison to local station data is not included. <strong>This data set as well as the original data set should be cited</strong>.
DOI: 10.5281/zenodo.6368036
title: Imatinib disassembles the regulatory core of Abelson kinase by binding to its ATP site and not by binding to its myristoyl pocket

description: NMR raw <sup>1</sup>H-<sup>15</sup>N TROSY data and processed spectra of a titration of U-<sup>15</sup>N-labeled Abl<sup>83-534</sup> with imatinib presented in the manuscript "Imatinib disassembles the regulatory core of Abelson kinase by binding to its ATP site and not by binding to its myristoyl pocket". <sup>1</sup>H-<sup>15</sup>N TROSY spectra were recorded at molar ratios of 0, 1:10, 3:10, 5:10, 7:10, 1:1, and 3:1 imatinib:Abl<sup>83-534</sup> at 303 K on a Bruker Ascend 600-MHz spectrometer equipped with a TCI triple resonance cryoprobe with 140 (<sup>15</sup>N) × 1024 (<sup>1</sup>H) complex points and acquisition times of 42 ms (<sup>15</sup>N) and 48 ms (<sup>1</sup>H). <strong>Description of files contained in DATA.zip:</strong> A3D.DAT: raw data in NMRPipe format with the 7 titration points stored a subsequent 2D planes B3D.DAT: processed data in NMRPipe format with the 7 titration points stored a subsequent 2D planes xy_3D.com: NMRPipe processing script to convert A3D.DAT to B3D.DAT
description: This work was supported by the Swiss Cancer League (grant KFS-3603-02-2015 to R.S. and S.G) and the Swiss National Science Foundation (grants 31-149927, 31-173089, and 31-201270 to S.G.).
DOI: 10.5281/zenodo.6389869
title: Geosci. Model Dev. paper data for Flipo et al., "Regional coupled surface-subsurface hydrological model fitting based on a spatially distributed minimalist reduction of frequency-domain discharge data"

description: Data and associated user guide, as part of the paper : Flipo N., Gallois N., Schuite J. Regional coupled surface-subsurface hydrological model fitting based on a spatially distributed minimalist reduction of frequency-domain discharge data, Geoscientific Model Development. In consistency with the “Code and data availability” sub-section of the paper, all data necessary for the reproduction of<br> Figs. 7, 8c, 8d, 9, 10 and 11 are here provided.
DOI: 10.5281/zenodo.6926483
title: The Tracing Convective Momentum Transport in Complex Cloudy Atmospheres Experiment - Level 1

description: The first field campaign from the Tracing Convective Momentum Transport in Complex Cloudy Atmospheres experiment project (CMTRACE) took place in Cabauw, the Netherlands, between September 13th and October 3rd 2021. During this field campaign, two cloud radars and one wind lidar were operated with a similar scanning strategy for deriving wind speed and direction profiles from near the surface up to cloud tops. Here we provide the daily Level 1 data from each instrument. At this level, several processing steps were applied to the raw data to minimize offsets, reduce the number of spurious data and derive wind speed and direction profiles; however, the data from each instrument is kept on its original spatial and temporal resolution. The raw data is available for the users on request from the corresponding author. <strong>Prefix identificaiton:</strong> Lidar data: cmtrace_cabauw_wls200-218<br> Scanning radar data: cmtrace_cabauw_rpg_radar_35-94<br> Vertically pointing radar data: cmtrace_cabauw_rpg_radar_94
DOI: 10.5281/zenodo.7451422
title: High-resolution soil moisture data (1km)

description: High-resolution soil moisture data based on ESA CCI surface soil moisture data in southwestern Europe (Iberia Peninsula).

Refs:

He, K., Zhao, W., Brocca, L., and Quintana-Seguí, P.: SMPD: a soil moisture-based precipitation downscaling method for high-resolution daily satellite precipitation estimation, Hydrol. Earth Syst. Sci., 27, 169–190, https://doi.org/10.5194/hess-27-169-2023, 2023.