cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.22002/d1.943
title: Digitized dataset from "Compilation of alluvial channel data : laboratory and field"

description: In recent years, attempts have been made to develop numerical models for unsteady flows in channels with sediment transport. The work presented in Reports KH-R-43A and KH-R-43B was conducted to analyze two essential ingredients of any numerical model: the relationship between the hydraulic variables (slope, depth, and velocity), and the predictor of sediment concentration.

Report KH-R-43A presents a detailed analysis of the two components and examines their role in numerical modeling. Six hydraulic relationships and 13 sediment concentration predictors are examined and compared. New relationships are then developed which appear to be more accurate than the existing techniques. Finally, the new relationships are utilized in a numerical unsteady flow, moveable bed model which uses a four-point implicit finite difference solution scheme.

The data base utilized in the first report is presented in Report KH-R-43B. The data base contains 7,027 records (5,263 laboratory records and 1,764 field records), in 77 data files. Not all records were used in the final analyses, but they have been included in an attempt to provide a historically complete set of alluvial channel observations.

The material presented in these reports is essentially the same as the thesis submitted by the author in partial fulfillment of the requirements for the degree of Doctor of Philosophy. A common list of references, with data sources separated from other references, has been included in both reports.
description: This dataset is derived from a technical report titled "Compilation of alluvial channel data : laboratory and field" by William R. Brownlie. This report, W. M. Keck Laboratory of Hydraulics and Water Resources Laboratory Technical Report No. KH-R-43B, was published in November 1981.

The physical copy of the report was scanned at 300 dpi (8-bit grayscale) using an Epson DS-60000. Individual TIFFs were opened in ABBYY FineReader 12.0 for optical character recognition (OCR) and exported as CSVs. The CSVs passed through two-person review before being finalized.

CTA25956-table-1.csv lists laboratory data investigators.
CTA25956-table-2.csv lists field data investigators.
CTA25956-table-3.zip contains 56 CSV files representing datasets from laboratory investigations.
CTA25956-table-4.zip contains 25 CSV files representing datasets from field investigations.
description: Related Publication:
Compilation of alluvial channel data : laboratory and field

Brownlie, William R. Caltech

1981-11

https://doi.org/10.7907/Z96T0JM1
eng
description: Contact person: Ray, Melissa melray@library.caltech.edu
DOI: 10.25925/20210519
title: Manaus aircraft profile data for the period 2017-2020; obspack_multi-species_1_manaus_profiles_v1.0_2021-05-20

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.
DOI: 10.25925/20210801
title: Multi-laboratory compilation of atmospheric carbon dioxide data for the period 1957-2020; obspack_co2_1_GLOBALVIEWplus_v7.0_2021-08-18

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 524 atmospheric carbon dioxide datasets derived from observations made by 63 laboratories from 21 countries. Data for the period 1957-2020 (where available) are included.
DOI: 10.5067/atlas/atl12.005
title: ATLAS/ICESat-2 L3A Ocean Surface Height, Version 5
DOI: 10.5067/cirayzroiyf9
title: Nimbus-5 ESMR Polar Gridded Brightness Temperatures, Version 2
DOI: 10.5067/w2pktwmty0tp
title: Nimbus-5 ESMR Polar Gridded Sea Ice Concentrations, Version 1
DOI: 10.5281/zenodo.10061471
title: Identified Potential Vorticity Structures associated with African Easterly Waves

description: This data set contains identified and tracked 3-D Potential Vorticity (PV) structures associated with African Easterly Waves (AEWs), based on the ERA-5 reanalysis of the years 2002-2022 from June to October.
First the AEW troughs are identified as outlined and separately submitted in this dataset. To extract the 3-D PV structures in these waves, a Hilbert transform is employed to compute the wave phase at every point in the domain. This yields the trough area of the waves. Within these areas, PV is collected and processed, and assigned a low-dimensional description, including a best-fit ellipsoid for statistical analyses. More details on the methodology can be found in a soon to be submitted publication.
The JSON files within this dataset provide a description of the PV features, structured as follows:

Each file contains one year of data, with one set each.
Each set includes:

A list of timestamps, where each timestamp contains the identified troughs at a specific time. Each time entry contains a list of objects (PV features), with each containing a set-unique identifier and properties describing the feature, such as the ellipsoid and a  bounding box.
The data graph, consisting of a list of edges, wherein each edge connects one parent object to multiple child objects, forming the tracking graph. A connection between a parent and child indicates that they represent the same feature entity, with the child being the next manifestation of the parent entity along the time line.
A list of tracks, with each track represented as a data graph as well.
 
description: The research leading to these results has been accomplished within the project C3 "Predictability of tropical and hybrid cyclones over the North Atlantic Ocean" of the Transregional Collaborative Research Center SFB/TRR 165 "Waves to Weather" funded by the German Science Foundation (DFG).
DOI: 10.5281/zenodo.10401814
title: hal-04347756 raw data
DOI: 10.5281/zenodo.10811018
title: SOCAT+USV sampling masks for ML reconstruction of surface ocean pCO2 using the Large Ensemble Testbed

description: Here we provide sampling masks used in the study "Assessing improvements in global ocean pCO2 machine learning reconstructions with Southern Ocean autonomous sampling" (Heimdal et al., 2023, https://doi.org/10.5194/bg-2023-160). In this paper, we reconstruct surface ocean pCO2 using the Large Ensemble Testbed (Gloege et al., 2021, https://doi.org/10.1029/2020GB006788) and the pCO2-Residual method (Bennington et al., 2022, https://doi.org/10.1029/2021MS002960). We provide 11 different sampling masks that correspond to the experiments presented in Heimdal et al. (2023), which include different sampling patterns of USV Saildrones in the Southern Ocean (SOCAT+USV sampling).
DOI: 10.5281/zenodo.14172976
title: Most Super-Earths Have Less Than 3% Water: Mass-Radius Relations

description: Mass-radius relations for rocky super-Earths, related to the models constructed in "Most Super-Earths Have Less Than 3% Water" by James G. Rogers, Caroline Dorn, Vivasvaan Aditya Raj, Hilke E. Schlichting, and Edward D. Young.

We provide two .csv files for the scenarios of super-Earths with and without outgassed mantles, respectively. Each file contains planet masses and radii (measured in Earth units) under the scenario of stripped and retained steam atmospheres. These are provided for a range in total water mass fractions (X_H2O) and equilibrium temperature (Teq). Note that all models have an Earth-like 32.5 % iron-core mass fraction. The water mass fractions of stripped models are less than that of retained atmospheres.

To extract a single mass-radius relation for a desired scenario, filter a file for planets of a given (retained) water mass fraction and equilibrium temperature.
DOI: 10.5281/zenodo.3518038
title: Copernicus Global Land Service: Land Cover 100m: collection 3: epoch 2018: Globe

description: Consolidated epoch 2018 from the Collection 3 of annual, global 100m land cover maps. Other available epochs: 2015 2016 2017 2019 Produced by the global component of the Copernicus Land Service, derived from PROBA-V satellite observations and ancillary datasets. The maps include a main discrete classification with 23 classes aligned with UN-FAO's Land Cover Classification System, a set of versatile cover fractions: percentage (%) of ground cover for the 10 main classes a forest type layer quality layers on input data density and on the confidence of the detected land cover change Click here to view the maps More information about the land cover maps Product User Manual
DOI: 10.5281/zenodo.5555721
title: APRA500: a 500 m annual paddy rice dataset for monsoon Asia using multisource remote sensing data

description: This dataset provides 500m-grid paddy rice maps of monsoon Asia (some countries) from 2000 to 2020. *** The data file is in “.tif" format *** Temporal Resolution: Yearly *** Pixel size: 500 m *** Projection information: EPSG: 4326 The map boundary employed in this database does not imply the expression of any opinion whatsoever on the part of us concerning the legal status of any country, territory, city or area or its authorities, or concerning the delimitation of its frontiers or boundaries.
DOI: 10.5281/zenodo.5644386
title: STAR NDSI collecti on: A cloud-free MODIS NDSI dataset (2001–2020) for China

description: 1. A recent 20-year cloud-free MODIS normalized difference snow index (NDSI) collection for China (excluding sea area) is generated using a Spatio-Temporal Adaptive fusion method with erroR correction (STAR). 2. The STAR NDSI collection is derived from daily 1-km MODIS NDSI datasets (MOD10A1 and MYD10A1). 3. It is provided using a WGS_1984_UTM_48N projection, with the data format of TIFF images. 4. Each ZIP contains NDSI data for one hydrological year (August to next July). After uncompressing into the TIFF format, the files are named as "NDSI_ yyyymmdd_Daily_500M_ V01.tif" for NDSI data and "QA_yyyymmdd_Daily_500M_V01.tif" for quality assessment (QA) data. 5. The accuracy of this collection has been well validated by the in-situ snow depth observations and Landsat OLI NDSI maps. The detailed information can be found in the published paper. 6. The NDSI value ranges from 0, 1-100. The value of water is set to 255. The fill value is set to 127. 7. Disclaimer: The spatial scope of the dataset is for research convenience. Please refer to official release for a standard map of China, http://211.159.149.56/index.html. 8. The new version includes data from 2001 to 2020 (https://doi.org/10.5281/zenodo.5765910), while the old version includes data from 2012 to 2020 (https://doi.org/10.5281/zenodo.5644386). <br> <br> 9. In case any questions arise, please do not hesitate to contact us (yhjing@whu.edu.cn).
DOI: 10.5281/zenodo.6538321
title: Theia OSO Land Cover Map 2019

description: Land cover map of France based on Sentinel-2 satellite images with iota² chain (https://framagit.org/iota2-project/iota2/)
description: {"references": ["Inglada, J., Vincent, A., Arias, M., Tardy, B., Morin, D., & Rodes, I., Operational high resolution land cover map production at the country scale using satellite image time series, Remote Sensing, 9(1), 95 (2017). http://dx.doi.org/10.3390/rs9010095"]}
DOI: 10.5281/zenodo.6565014
title: Case simulation: LES RF20 composite case

description: This dataset contains the model configuration files and selected output data of the large-eddy simulation experiments as described in the publication: "Aerosol-cloud-turbulence interactions in well-coupled Arctic<br> boundary layers over open water"
description: We gratefully acknowledge the funding by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) – Projektnummer 268020496 – TRR 172, within the Transregional Collaborative Research Center "ArctiC Amplification: Climate Relevant Atmospheric and SurfaCe Processes, and Feedback Mechanisms (AC) 3 ". We thank ECMWF for providing access to the large-scale model analyses and forecasts fields used to drive the LES experiments. We gratefully acknowledge the Regional Computing Centre of the University of Cologne (RRZK) for granting us access to the CHEOPS cluster. The Gauss Centre for Supercomputing e.V. (www.gauss-centre.eu) is acknowledged for providing computing time on the GCS Supercomputer JUWELS at the Jülich Supercomputing Centre (JSC) under projects CHKU28 and VIRTUALLAB. We further thank the Alfred Wegener Institute (AWI), the PS106/1 crew and the ACLOUD science teams for making the field campaign happen and for post-processing the observational data.
DOI: 10.5281/zenodo.7129166
title: Code and data for results and figures of the manuscript "Multi-million year cycles in modelled δ13C as a response to astronomical forcing of organic matter fluxes." submitted to Earth System Dynamics

description: This dataset contains the code of the model used in the manuscript submitted to Earth System Dynamics "Multi-million year cycles in modelled δ13C as a response to astronomical forcing of organic matter fluxes.". It also contains some model outputs and code to draw the figures.
DOI: 10.5281/zenodo.7347077
title: Datasets for greenhouse gasses emissions and removals from inventories and global models over Africa

description: This file includes the data from Mostefaoui et al. (ESSD, under submission), for 54 countries African countries The data includes: (1) CO2 fluxes from global models - satellite inversions and Dynamic Global Vegetation Models (DGVM) -, and from a collection of national inventories for LULUCF, GFEDv4 and FAO data. DGVM values are the median of 14 models, consistent with the Global Carbon Budget 2020 (https://essd.copernicus.org/articles/12/3269/2020/) LULUCF UNFCCC corrected values are from Grassi https://essd.copernicus.org/preprints/essd-2022-104/ (2) CH4 fluxes from global models consistent with the Global Methane Budget 2020 (https://essd.copernicus.org/articles/12/1561/2020/) (3 N2O fluxes from global models (three inversions) For further methodological details, see Mostefaoui et al. (ESSD, under submission): Mounia Mostefaoui, Philippe Ciais, Matthew J. McGrath, Philippe Peylin, Prabir Patra. Greenhouse gasses emissions and their trends over the last three decades across Africa, ESSD (under submission)
DOI: 10.5281/zenodo.7432635
title: Paramagnetic relaxivity of delocalized long-lived states of protons in chains of CH2 groups

description: This is original NMR data acquired for work entitled "Paramagnetic relaxivity of delocalized long-lived states of protons in chains of CH<sub>2 </sub>groups"
DOI: 10.5281/zenodo.7745085
title: Spatial predictions of suitable environments for palsas and peat plateaus in the Northern Hemisphere for recent and future periods

description: Here we provide raster files of suitable environments for palsas and peat plateaus in the Northern Hemisphere. These files are results of a scientific study by Könönen et al. (2022, preprint). Files are provided in TIFF-format, and they describe the occurrence probability of the suitable environments for palsas and peat plateaus. Könönen, O. H., Karjalainen, O., Aalto, J., Luoto, M., and Hjort, J.: Environmental spaces for palsas and peat plateaus are disappearing at a circumpolar scale, The Cryosphere Discuss. [preprint], https://doi.org/10.5194/tc-2022-135, in review, 2022.
DOI: 10.5281/zenodo.8152509
title: Functional ANOVA for Carbon Flux Estimates: Supporting Data

description: This archive provides input and supporting datasets for the examples presented in "Functional ANOVA for carbon flux estimates from remote sensing data". This version (v0.2.0) of the archive includes sub-directories for each of the three examples of the statistical model with a spatio-temporal error process. R code for running the examples can be found on Github.
DOI: 10.5281/zenodo.8436908
title: Data for "Impact of time-dependent data assimilation on ice flow model initialization and projections: a case study of Kjer Glacier, Greenland"

description: Data for the main figures for "Impact of time-dependent data assimilation on ice flow model initialization: A case study of Kjer Glacier, Greenland"
DOI: 10.5676/dwd_gpcc/fd_d_v2020_100
title: GPCC Full Data Daily Version 2020 at 1.0°: Daily Land-Surface Precipitation from Rain-Gauges built on GTS-based and Historic Data
title: Gridded Daily Totals

description: This is the GPCC Full Data Daily Product Verion 2020 of daily global land-surface precipitation based on data provided by national meteorological and hydrological services, global and regional data collections as well as WMO GTS-data. This product contains the daily totals on a regular grid with a spatial resolution of 1.0° x 1.0° latitude by longitude. Relative precipitation anomalies at the stations are interpolated by means of a modified SPHEREMAP scheme and then superimposed on the GPCC Full Data Monthly V.2020 (DOI: 10.5676/DWD_GPCC/FD_M_V2020_100). The temporal coverage of the dataset ranges from January 1982 until December 2019.
description: General user recommendations: Users are referred to following gridded Global Precipitation Climate Centre (GPCC) products: GPCC Climatology 1951-2000 (GPCC_CLIM) with high representativeness, for application as a reference, and for utilization of the anomaly interpolation method. GPCC Full Data Monthly (GPCC_FD) with high accuracy, for, e.g., verification of models, or for analysis of historic global precipitation, or for research concerning the global water cycle, e.g., teleconnection analyses. GPCC Monitoring Product (GPCC_MP) with high availability and reasonable timeliness, for applications like calibration of satellite data, or early annual reporting. GPCC First Guess Monthly (GPCC_FG_M) and First Guess Daily (GPCC_FG_D) with high timeliness, to be applied for, e.g., drought monitoring.
DOI: 10.60521/331587
title: Processed EM712 Acoustic Backscatter and Swath Bathymetry data from R/V Gaia Blu cruise Jamme Gaia22 (2022)

description: This data set was acquired with a Kongsberg Maritime EM712 multibeam sonar system during R/V Gaia Blu cruise Jamme Gaia22 conducted in 2022. In September-October, 2022, the new CNR Research Vessel Gaia Blu explored the seafloor of the Naples and Pozzuoli Gulfs, and the Amalfi coastal area (Tyrrhenian Sea, Italy) from 50m to more than 1300m water depth, acquiring about 5000 km2 of multibeam echo-sounder data. The purpose of the cruise was to test the new multibeam systems installed on R/V Gaia Blu and to use the high-resolution digital bathymetric models generated from the acquired data to improve knowledge of the seascape and seabed morphology of the Gulf of Naples. These data files are in MB-System-compatible format and include Acoustic Backscatter and Swath Bathymetry data that was processed after acquisition. This data was processed by Istituto di Scienze Marine and was included in the Global Multi-Resolution Topography (GMRT) Synthesis (version 4.2.1).
DOI: 10.60521/331589
title: Processed EM2040 Acoustic Backscatter and Swath Bathymetry data from R/V Gaia Blu cruise Jamme Gaia22 (2022)

description: This data set was acquired with a Kongsberg Maritime EM2040 multibeam sonar system during R/V Gaia Blu cruise Jamme Gaia22 conducted in 2022. In September-October, 2022, the new CNR Research Vessel Gaia Blu explored the seafloor of the Naples and Pozzuoli Gulfs, and the Amalfi coastal area (Tyrrhenian Sea, Italy) from 50m to more than 1300m water depth, acquiring about 5000 km2 of multibeam echo-sounder data. The purpose of the cruise was to test the new multibeam systems installed on R/V Gaia Blu and to use the high-resolution digital bathymetric models generated from the acquired data to improve knowledge of the seascape and seabed morphology of the Gulf of Naples. These data files are in MB-System-compatible format and include Acoustic Backscatter and Swath Bathymetry data that was processed after acquisition. This data was processed by Istituto di Scienze Marine and was included in the Global Multi-Resolution Topography (GMRT) Synthesis (version 4.2.1).
DOI: 10.7924/r4kd23n9b
title: Data from: Energetic costs of social dominance in wild male baboons

description: In mammals, glucocorticoids can be upregulated in response to both psychosocial and energetic stressors, making it difficult to identify the major cause of elevated glucocorticoid concentrations when both types of stressors are present. This problem has been particularly challenging in studies of social dominance rank in wild animals. In contrast to glucocorticoids, thyroid hormone concentrations are largely unaffected by psychosocial stressors and therefore offer a better estimate of energetic challenges. Here, we determined faecal metabolites of both triiodothyronine (mT3) and glucocorticoids (fGC) in wild baboons and assessed how these hormonal profiles vary with male dominance rank. We found that alpha males have lower mT3 and higher fGC than males of other ranks, indicating sustained energetic costs of alpha status. By contrast, low-ranking males have higher mT3 but similar fGC concentrations than non-alpha high-ranking males, reflecting their lower exposure to energetic stressors but greater vulnerability to psychosocial stressors than higher-ranking males. We also found that mate-guarding of fertile females, a behaviour expressed at higher rates by alpha males, partly explains the energetic costs of high social status. These findings offer evidence of the different types of costs experienced by low- and high-ranking animals.
DOI: 10.1594/pangaea.901279
title: Sea ice conditions during POLARSTERN cruise PS117

description: Visual observations of sea-ice conditions were performed hourly from the bridge of Polarstern. The observations followed the ASPeCt protocol.
DOI: 10.1594/pangaea.928381
title: Global gross primary production from vegetation photosynthesis model for 2017-2019

description: This dataset contains 8-day temporal resolution, 500m spatial resolution gross primary production (GPP) estimation from vegetation photosynthesis model (VPM) for the entire globe during 2017-2019. The entire globe is divided into 290 sub area (tiles) under a sinusoidal projection. For each tile each year, there are 46 GeoTiff files, each one represents the average daily GPP during a 8-day period. Each GPP file is also associated with a quality control layer, which contains a Boolean value to indicate whether the data quality is good (0) or not (1). The simulated GPP is also validated against 113 eddy covariance flux tower across the globe.
DOI: 10.1594/pangaea.935223
title: Continuous meteorological surface measurement during POLARSTERN cruise PS122/3

description: The meteorological observatory Polarstern continuously acquires meteorological parameters during times of ship operation. Measurements are taken on various locations on the vessel, instrument heights above sea level are given below. All data is quality controlled. Measurements are checked daily on board by the operator and again prior to publication. Knowingly affected or erroneous data is removed.