cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.8399487
title: Database of pyroclastic cover deposit thickness measurements (PT-Cam) in peri-volcanic areas of Campania (Italy)

description: In an eruptive event, tephra deposits (i.e. ash and pumice) disperse in the atmosphere and deposit on the ground surface according to the speed and direction of the wind. Because the geotechnical and hydraulic properties of the unconsolidated pyroclastic fall deposits usually differ from the bedrock, their spatial thickness significantly influences geomorphological and hydrogeological processes such as landscape evolution, erosion, landslide, and hillslope hydrogeology. The PT-Cam database presents the thickness of tephra deposits (i.e. the unconsolidated materials over the bedrock) in Campania region (Italy), measured through in-situ investigations of some territories around the Somma-Vesuvius, Campi Flegrei, Roccamonfina, and Ischia volcanoes during the last decades. The measurements were conducted with probing tests, dynamic penetration tests, trenches, man-made pits, seismic surveys, and outcrops. Explanation for database attribute: CODE: identification code of the measurement; z: measured thickness expressed in cm; type_z: thickness type (i.e. if investigation has reached to the bedrock the type is “total” otherwise it is “partial”); type_investigation: method of in-situ investigation; locality: municipality to which the measurement point belongs; Longitude, Latitude: km coordinates in UTM WGS 84 system.
description: {"references": ["Matano F. et al. (2016) Thickness of pyroclastic cover beds: the case study of Mount Albino (Campania region, southern Italy). Journal of Maps, 12, S1, 79-87, DOI 10.1080/17445647.2016.1158668", "Cuomo S. et al. (2021) Multiseasonal probabilistic slope stability analysis of a large area of unsaturated pyroclastic soils. Landlides, 18, 1259\u20131274, OI 10.1007/s10346-020-01561-w"]}
DOI: 10.5285/b2b9bfe408f14ea7a79d9ff7aee0d0b8
title: WINDS-C: A 1/50° decadal regional simulation of the Southwestern Indian Ocean with high frequency surface currents for Lagrangian applications (climatological forcing based on 1993-2018)

description: Decadal and multidecadal simulation of the Southwestern Indian Ocean with high frequency surface currents (climatological and realistic forcing, 1993-2020)
description: WINDS-C (Western Indian Ocean Simulation, Climatological) is a high-resolution (1/50° in the horizontal) regional ocean simulation spanning the SW Indian Ocean under climatological forcing (1993-2018), using the Coastal and Regional Ocean Community model (CROCO). WINDS-C is forced at the lateral boundaries by a monthly climatology from the 1/12° CMEMS (Copernicus Marine Environment Monitoring Service) GLORYS12V1 global ocean reanalysis and barotropic tides from TPXO9, at the surface by a monthly climatology from ERA5, and also includes climatological riverine fluxes. High frequency (0.5h) surface currents are provided for Lagrangian analyses, and other surface fields are provided at a daily frequency. Full 3D zonal velocity, meridional velocity, temperature, and salinity (U/V/T/S) fields are provided every 5 days.
DOI: 10.5285/bf6f0cfbd09e47498572f21081376702
title: WINDS-M: A 1/50° multidecadal regional simulation of the Southwestern Indian Ocean with high frequency surface currents for Lagrangian applications (realistic forcing, 1993-2020)

description: Decadal and multidecadal simulation of the Southwestern Indian Ocean with high frequency surface currents (climatological and realistic forcing, 1993-2020)
description: WINDS-M (Western Indian Ocean Simulation, Multidecadal) is a high-resolution (1/50° in the horizontal) regional ocean simulation spanning the SW Indian Ocean from 1993-2020, using the Coastal and Regional Ocean Community model (CROCO). WINDS-M is forced at the lateral boundaries by daily output from the 1/12° CMEMS (Copernicus Marine Environment Monitoring Service) GLORYS12V1 global ocean reanalysis and barotropic tides from TPXO9, at the surface hourly output from ERA5, and also includes climatological riverine fluxes. High frequency (0.5h) surface currents are provided for Lagrangian analyses, and other surface fields are provided at a daily frequency. Full 3D zonal velocity, meridional velocity, temperature, and salinity (U/V/T/S) fields are provided every 5 days.
DOI: 10.1594/pangaea.885603
title: (Table S2) SST esimates as a function of age, Mediterranean sites

description: Data &lt; 1 Ma from Emeis et al. (2000, 2003). Data 1.5-3.8 Ma from Cleaveland and Herbert (2009) and Herbert et al. (2015). Data &gt; 5.4 Ma from Tzanova et al. (2015). Data from Eraclea Minoa (EM) section: this paper.
DOI: 10.25500/edata.bham.00000836
title: Data and code supporting the publication "Air-parcel residence times in a mature forest: observational evidence from a free-air CO2 enrichment experiment"
DOI: 10.25625/fwq7dt
title: GEOSCRAPE zircon database

description: This database contains a compilation of published zircon geochronology, chemistry and isotope data. The database was created through automated web scraping of the Figshare data repository. Data included U-Pb and Pb-Pb dating, Lu-Hf isotopes, trace element and rare earth element chemistry and isotopes. Where available, metadata on the analytical method, lithology, sample description and sampling coordinates are included. All analyses include a citation and doi link to the original data hosted on Figshare. See metadata table for descriptions of table headers. See associated manuscript for web scraping code.
DOI: 10.5281/zenodo.10946604
title: Supported codes and data for "Hydrodynamic and biochemical impacts on the development of hypoxia in the Louisiana–Texas shelf Part 1: roles of nutrient limitation and plankton community"

description: This dataset comprises matlab codes and truncated raw data from the Gulf-COAWST model hindcast over the northern Gulf of Mexico. The codes and data support the research presented in "Hydrodynamic and Biochemical Impacts on the Development of Hypoxia in the Louisiana–Texas Shelf Part 1: Roles of Nutrient Limitation and Plankton Community" and are organized by sections discussed in the paper.

Readers can find the following figures and tables presented in the paper in the listed folders (highlighted by italic and bold font):

Figure 2 in section2.3

Figure 3 in section3.2

Figures 4–5 in section3.3

Table 1 and Figure C2 in section3.4

Figure 6 in section3.5

Figure 7 in section3.6

Figures 8–9 and Table 2 in section3.7

Figures 10, 11, and C3 in section4.1

Figures 12, 13, 14, C4, and C5 in section4.2

Figures 15–17 in section4.3

Figure C1 in section_appendix

The grid file which is in the netCDF format is stored in folder grid. The folder matlab_toolbox is the toolbox needs for the data processing and figure plotting.
DOI: 10.5285/fa83484e57854d6fbde16ff945ff6dc0
title: MIDAS Open: UK mean wind data, v202207

description: The UK mean wind data contain the mean wind speed and direction, and the direction, speed and time of the maximum gust, all during 1 or more hours, ending at the stated time and date. The data were collected by observation stations operated by the Met Office across the UK and transmitted within the following message types: SYNOP, HCM, AWSHRLY, DLY3208, HWNDAUTO and HWND6910. The data spans from 1949 to 2021. This version supersedes the previous version of this dataset and a change log is available in the archive, and in the linked documentation for this record, detailing the differences between this version and the previous version. The change logs detail new, replaced and removed data. These include the addition of data for calendar year 2021. For further details on observing practice, including measurement accuracies for the message types, see relevant sections of the MIDAS User Guide linked from this record (e.g. section 3.3 details the wind network in the UK, section 5.5 covers wind measurements in general and section 4 details message type information). This dataset is part of the Midas-open dataset collection made available by the Met Office under the UK Open Government Licence, containing only UK mainland land surface observations owned or operated by the Met Office. It is a subset of the fuller, restricted Met Office Integrated Data Archive System (MIDAS) Land and Marine Surface Stations dataset, also available through the Centre for Environmental Data Analysis - see the related dataset section on this record.
DOI: 10.1594/pangaea.956057
title: Physical oceanography (CTD) during Maria S. Merian cruise MSM89

description: Seabird 911plus systems equipped with dual temperature-conductivity-oxygen sensors were employed. All systems had a 24-bottle water sampling rosette with 10 l Niskin bottles. Water sampling, processing, and calibration followed GO-SHIP recommendations (Swift, 2010; McTaggart et al., 2010; Uchida et al., 2010) and included the recommended steps Data Conversion, Sensor Time-Alignment, Creation of Bottle Files, Outlier Removal, Pressure Sensor Filtering, Conductivity Cell Thermal Mass Correction, Ship Roll Correction and Deck Offset Correction by Loop Editing, as well as Derivation of Calculated Properties. After these steps, conductivity and oxygen readings were calibrated against values determined with salinometry and Winkler titration , respectively. Finally, the downcast data was averaged over 1 dbar wide intervals. An independent upcast calibration was used to obtain calibrated CTDO values coincident with the discrete water samples.
description: PO-GLOBAL-SVN = 689 used on 10-Jun-2020 15:15:01Matlab = 9.4.0.813654 (R2018a)Release = 3nc_uncertainty_p = 2.000000nc_uncertainty_t = 0.002000nc_uncertainty_s = 0.003000nc_uncertainty_o = 1.000000
DOI: 10.1594/pangaea.956063
title: Lowered ADCP data during Maria S. Merian cruise MSM89

description: LADCP measurements used a two-instrument configuration with two Teledyne RDI 300 kHz workhorse ADCPs mounted in down- and up-looking positions. Data collection and processing was performed according to recommendations in the GO-SHIP manual (Thurnherr et al., 2010).
DOI: 10.1594/pangaea.956139
title: Underway CTD data collected during Maria S. Merian cruise MSM89

description: The UCTD is a CTD system that can be deployed from a moving ship, allowing for the sampling of water masses at high horizontal resolution (ranging from less than 1 km for the Rapidcast system to 10 km for deep UCTD casts) with good accuracy of the pressure, temperature, and conductivity sensors. Processing of the data involved mostly the fall-rate dependent correction of the thermal lag of the conductivity sensor and followed the approach described by Ullman and David (2014). Subsequently the corrected data was calibrated against the calibrated coincident Thermosalinograph and the calibrated nearby CTD data.The typical accuracies of the final pressure, temperature, and salinity data are 1 dbar, 0.01 °C, and 0.01 g/kg, respectively.
description: Version = PO-GLOBAL-SVN = 787Matlab = 9.4.0.813654 (R2018a)Release = 1P-correction = 0.035 + p*0.00068 dbarT-correction = -0.001 deg CC-correction = 0.038 mS/cm
DOI: 10.1594/pangaea.956141
title: Moving vessel profiler (MVP) data collected during Maria S. Merian cruise MSM89

description: The Moving Vessel Profiler (MVP) is a CTD system that can be deployed from a moving ship, allowing for the sampling of water masses at high horizontal resolution with high accuracy of pressure, temperature, conductivity and other attached sensors. Processing of the data includes a fall-rate dependent correction of the thermal lag of the conductivity sensor and follows the approach described by Ullman and David (2014) for Underway CTD (UCTD) systems. Subsequently the corrected data was calibrated against the calibrated coincident Thermosalinograph and the calibrated nearby CTD data.
DOI: 10.5281/zenodo.5102943
title: Last interglacial sea-level index points in the Western Mediterranean

description: Sea-level index points, dated samples and correlated metadata for the Western Mediterranean. This dataset was assembled in the framework of the World Atlas of Last Interglacial Shorelines. Field descriptors are available at: https://walis-help.readthedocs.io/en/latest/ See readme files for updates with respect to version 1.0
DOI: 10.5285/c596cdd7-c709-461a-e053-6c86abc0c127
title: Physical and biogeochemical data from three Seagliders on a combination transect and virtual mooring deployment, NE of Barbados January - February 2020.

description: Dataset collected by investigators of the University of East Anglia during January - February 2020 in the tropical North Atlantic. Gliders SG620 and SG637 were deployed from the RV Meteor during cruise M161 as part of the EUREC4A observational campaign. Glider SG579 was deployed by the autonomous surface vehicle Caravela. All gliders were recovered by the Meteor. SG620 and SG637 occupied a bowtie pattern 10 km across centered at 14' 10"N 57' 20" W. The two gliders were deployed with CT sails measuring conductivity and temperature and completed 131 and 155 dives respectively. SG579 was deployed at 13' 21"N 58' 50" W and travelled 200 km to the bowtie over 10 days conducting 75 dives. Once onsite, SG579 conducted a further 220 dives. In addition to a CT sail, SG579 carried a PAR sensor and Wetlabs sensor measuring backscatter, chlorophyll a and CDOM. Data were processed using the UEA Seaglider Toolbox.
DOI: 10.15142/t33h26
title: USU-CSU Na Lidar Data

description: The naturally existing mesospheric Na layer, overlapping the upper mesosphere and lower thermosphere, provides an excellent tracer for lidar remote sensing. The Na Doppler lidar technique is designed to measure neutral temperature and wind profiles in the mesopause region (~ 80-110 km) by observing the thermal broadening and Doppler shift of the atomic Na fluorescence spectrum. Relocated from Colorado State University (CSU), the Na lidar at Utah State University (USU) has been operating since the summer of 2010, for roughly 1000 hours per year. Enabled by a pair of Faraday filters, it has a unique daytime observation capability to study not only small-scale dynamics features, but also large scale tidal and planetary wave activities. Combined with the lidar database at CSU, this project has the longest mesopause region temperature database in the world (32 years and counting). This invaluable database has enabled several long-term trend studies in the upper atmosphere, which is mostly related to the increasing CO2 diffusion from the troposphere into the upper atmosphere and the stratosphere contraction.

The CSU observations of Na density and temperature from 80-100 km started on Aug. 25, 1989, in Fort Collins, CO (40.6N, 105.1W) and ended in Mar 2010 before relocating to Logan Utah. From 1990 to 2001, the lidar deployed one vertical, two-frequency beam. By 1996 the development of the three-frequency technique and the Na Faraday filter upgraded the system to include line-of-sight (LOS) wind measurement and capability for observation under sunlit conditions. Tilting and directing multiple beams in different directions allows measurements of temperature, sodium density, and line-of-sight wind at the specified directions both day and night, weather permitting. In August 2015 data were analyzed with the regular resolution at 60 min and 2 km (see http://millstonehill.haystack.mit.edu), and the nocturnal data in higher resolution, at 10 min and 1 km for data between 1990 and 2005. The analysis of CSU data after September 2006 at the higher resolution of 1 km and depending on the size of the receiving telescope used, either at 10 min or at 2.5 min can be found in this site.

The user of this dataset is required to acknowledge the source: ’Data used with permission from “USU-CSU Na Lidar” (https://doi.org/10.15142/T33H26)’.
DOI: 10.1594/pangaea.933905
title: Pan-Arctic spectral reflectances at the top-of-atmosphere between 1996 and 2018

description: This dataset contains spectral reflectances, measured at the top-of-atmosphere in the solar spectral range, by the three different sensors GOME, SCIAMACHY and GOME-2A respectively on board the ERS-2, ENVISAT and MetOpA satellites. The time interval covered is January 1996 up to and including December 2017. The temporal granularity is monthly. The geographic extent is from parallel 60 N to 85 N. The dataset is functional to inspect long-term changes in Arctic reflectivity and to analyze the relative contribution of mainly sea ice, snow and clouds. Data in this version has already been harmonized for the spatial footprint at the ground of the respective sensors and for subsequent analysis with complementary and independent datasets of cloud properties and radiative fluxes. As such, they are not suitable for in-situ validation of ground, air- or ship-borne reflectances. The underlying original reflectances at native resolution are available upon request.
description: The file is a multi-dimensional, multi-level NetCDF following COARDS-CF 1.5 convention.
DOI: 10.4121/4ff14dc0-a290-4ffd-985f-3d68b9c25644.v1
title: Model and data underlying the research of combining statistical and hydrodynamic models to assess compound flood hazards from rainfall and storm surge

description: The dataset provides additional information that supports the findings and conclusions of the research on combining statistical and hydrodynamic models to assess compound flood hazards from rainfall and storm surge
DOI: 10.48670/moi-00153
title: European North West Shelf/Iberia Biscay Irish Seas - High Resolution L4 Sea Surface Temperature Reprocessed
DOI: 10.48670/moi-00286
title: North Atlantic Ocean Colour Plankton, Reflectance, Transparency and Optics MY L3 daily observations
DOI: 10.5067/caliop/calipso/cal_lid_l3_stratospheric_apro-standard-v1-01
title: CALIPSO Lidar Level 3 Stratospheric Aerosol Profiles Standard V1-01
DOI: 10.5067/caliop/calipso/lid_l3_stratospheric_apro-standard-v1-00
title: CALIPSO Lidar Level 3 Stratospheric APro Standard - HDF4 File Version 1-00
DOI: 10.5067/modis/myd04_3k.061
title: MYD04_3K MODIS/Aqua Aerosol 5-Min L2 Swath 3km
DOI: 10.5067/yxmjrme5ounc
title: MEaSUREs Greenland Ice Velocity: Selected Glacier Site Velocity Maps from InSAR, Version 3
DOI: 10.5281/zenodo.10635640
title: CTRW simulations of karst aquifer discharge response to rainfall

description: CTRW simulations of karst aquifer discharge response to rainfall
DOI: 10.5281/zenodo.11629115
title: Antarctic Ecosystem Inventory: Spatial data for Ice-free lands v1.0

description: This is Antarctica’s first comprehensive ecosystem map of ice-free lands. The data comprise a spatially explicit 3-tiered hierarchical ecosystem classification with nine Major Environment Types (tier 1), 33 Habitat Complexes (tier 2) and 269 Bioregional Ecosystem Types (tier 3). These Bioregional Ecosystem Types are aligned with ‘level 4’ of the IUCN Global Ecosystem Typology (Keith et al. 2022). 

The spatial data are available in raster format (TIF) at 100 m resolution in the Polar Stereographic Projected Coordinate System (GCS_WGS_1984) for all known ice-free areas south from latitude -57.330551 decimal degrees South (pdf map shows extent of ice-free areas in relation to terrestrial ice and ice shelves). A value attribute table (VAT) provides text fields containing codes and full names for each unit in each level of the classification hierarchy and the spatial extent of tier 3 units in hectares.

Methods of development, source data and uses of the inventory are detailed by Tóth et al. (2025a). Descriptive profiles for tier 1 and 2 units are available in Tóth et al. (2025b).

ReferencesKeith, D.A., Ferrer-Paris, J.R., Nicholson, E., Bishop, M.J., Polidoro, B.A., Ramirez-Llodra, E., Tozer, M.G., Nel, J.L., Nally, R. Mac, Gregr, E.J., Watermeyer, K.E., Essl, F., Faber-Langendoen, D., Franklin, J., Lehmann, C.E.R., Etter, A., Roux, D.J., Stark, J.S., Rowland, J.A., Brummitt, N.A., Fernandez-Arcaya, U.C., Suthers, I.M., Wiser, S.K., Donohue, I., Jackson, L.J., Pennington, R.T., Iliffe, T.M., Gerovasileiou, V., Giller, P., Robson, B.J., Pettorelli, N., Andrade, A., Lindgaard, A., Tahvanainen, T., Terauds, A., Chadwick, M.A., Murray, N.J., Moat, J., Pliscoff, P., Zager, I. & Kingsford, R.T. (2022) A function-based typology for Earth’s ecosystems. Nature 610, 513–518. [doi: 10.1038/s41586-022-05318-4].Tóth, A.B., Terauds, A., Chown, S.L., Hughes, K.A., Convey, P., Hodgson, D.A., Cowan, D.A., Gibson, J., Leihy, R.I., Murray, N.J., Robinson, S.A., Shaw, J.D., Stark, J.S., Stevens, M.I., van den Hoff, J., Wasley, J. and Keith D.A. (2025a). A dataset of Antarctic ecosystems in ice-free lands: classification, descriptions, and maps. Scientific Data 12, 133. [https://doi.org/10.1038/s41597-025-04424-y] Tóth, A.B., Terauds, A., Chown, S.L., Hughes, K.A., Convey, P., Hodgson, D.A., Cowan, D.A., Gibson, J., Leihy, R.I., Murray, N.J., Robinson, S.A., Shaw, J.D., Stark, J.S., Stevens, M.I., van den Hoff, J., Wasley, J. & Keith D.A. (2025b). Antarctic Ecosystem Inventory: Descriptive profiles for ice-free lands v1.0. DOI: 110.5281/zenodo.14625890. Australian Antarctic Data Centre.
DOI: 10.5281/zenodo.6603101
title: Ensemble flood map spatial verification

description: Assessing the spatial spread-skill of ensemble flood maps with remote sensing observations, data and code. Creator: Helen Hooker[1] Publication Year: 2022 Organisation(s): 1. Department of Meteorology, University of Reading, U.K Description: This dataset contains: - Python functions for ensemble flood map spatial spread-skill evaluation. - SAR-derived observed flood maps used in the study. Helen Hooker. (2022). Ensemble flood map spatial verification (v1.0) [Data set]. Zenodo. https://10.5281/zenodo.6603101 Related publications: Assessing the spatial spread-skill of ensemble flood maps with remote sensing observations; 2023; NHESS; Helen Hooker[1], Sarah L. Dance[1,2,3], David C. Mason[4], John Bevington[5], and Kay Shelton[5] Department of Meteorology, University of Reading, UK. Department of Mathematics and Statistics, University of Reading, UK. NCEO, University of Reading, UK. Department of Geography and Environmental Science, University of Reading, UK. JBA Consulting, UK. Correspondence: Helen Hooker (h.hooker@pgr.reading.ac.uk)
DOI: 10.5281/zenodo.6785214
title: Teller 47 solifluction: Sentinel-1 deformation estimates

description: Sentinel-1 deformation estimates from orbit 15/377 Specifications: Location: Seward, Peninsula, AK Spatial resolution: ~100 m Unit: m Sign convention: positive: increasing distance to satellite Files: avg_disp171819.tif: average thaw-season displacement for years 2017, 2018, 2019; normalized to a 90-day period subseasonal.txt: subseasonal displacement time series for four points J1-J4 in years 2017-2019. Coordinates and measurement times are included.
DOI: 10.5285/6a27ab9e-1258-49b1-bd2c-fcbed310ab45
title: High resolution Antarctic lakes dataset

description: A very incomplete dataset of surface lakes in Antarctica. Data have been prepared from various map and remotely sensed datasets.
description: Data compiled from various mapping and remote sensing sources. Exact data sources and dates are contained within the attribute table of the data.