cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17882/78971
title: Across-shelf mooring array from the northeast shelf of New Zealand

description: Five cross-shelf oceanographic moorings (M1 - M5) were deployed along Topex/Poseidon 147 line in water depths spanning 80to 1865 m (Fig. 1a). The stations, M1 (80 m depth) and M2 (130 m) were on the continental shelf, M3 (438 m) the shelf break,M4 (1105 m) the continental slope, and the most offshore M5 (1865 m) on the continental rise. The deployments lasted longerthan a year and the measurements overlap between 11/5/2015 and 15/5/2016. A total of 46 instruments were installed in the array of moorings (Fig. 1). Long Range (LR) acoustic Doppler current profilers (ADCPs) (75Hz) were deployed at stations M3, M4, and M5, and 4 Workhorse (WH) ADCPs (300 or 600Hz) were installed near the bottom at M1 and M2, and near thesurface at M4 and M5 and covered the water column shown in red and blue in Fig. 1b. The water column was binned every 4 m(WH) or 15 m (LR) by upward looking ADCPs. All the stations, except M1, had between 4 and 10 SBE 56 temperature sensors (black dots in Fig. 1b) and 2 or 3 MicroCAT CTDs (green circles in Fig. 1b). The temperature sensors were deployed every 10m in the upper 100 m and then every 50 m below that. M2 and M3 had CTDs placed near the surface and bottom, whereas M4and M5 had additional CTD at 200 m depth. Velocity (temperature and salinity) measurements were taken during a period of 2min. (1 min.) every 10 min or less.
DOI: 10.25573/data.19196240.v4
title: Panama Canal Watershed water quality monitoring program

description: Water quality monitoring data provided by the Panama Canal Authority (ACP). This program monitors WQ at around 40 stations located throughout the Panama Canal Watershed. Monitoring is carried out manually on a monthly basis.<br>The following variables are monitored:Total Alkalinity, Ca++, Cl, Conductivity, Hardness, K+, Mg++, Na+, Salinity, SO4, Total Dissolved Solids, Chlorophyll, Total Carbon, Biochemical Oxygen demand, E. coli, Microcystinas, Total Organic Carbon, NO2, NO3, PO4, Dissolved Oxygen, % Dissolved Oxygen, pH, Temperature, Total Suspended Solids, Visibility, Turbidity, Water Quality Index<br>Original reports (in Spanish) available at:https://micanaldepanama.com/nosotros/cuenca-hidrografica/<br>
DOI: 10.25835/0005529
title: Modeling of land-surface interactions in the PALM model system 6.0: Land surface model description, first evaluation, and sensitivity to model parameters

description: Set-up and source code for the paper "Modeling of land-surface interactions in the PALM model system 6.0: Land surface model description, first evaluation, and sensitivity to model parameters", submitted to Geoscientific Model Development Note that cases ALBE_24 and ALBE_04 in Table 5 of the revised paper are called LSM_vali_s_ALBE_44 and LSM_vali_s_ALBE_24 in the dataset, respectively.
DOI: 10.26186/5c636e559cbe1
title: Surface Geology of Australia 1:2.5 million scale dataset 2012 edition

description: The 1:2.5M scale geology of Australia data documents the distribution and age of major stratigraphic, intrusive and medium to high-grade metamorphic rock units of onshore Australia. This edition contains the same spatial content as the previous edition, but its geological attribute data is more complete than the 2010 edition. 
The dataset was compiled to use at scales between 1:2.5 million and 1:5 million inclusive. The units distinguished/mapped mainly represent stratigraphic supergroups, regional intrusive associations and regional metamorphic complexes. Groupings of Precambrian units in the time-space diagram are generally separated by major time breaks; Phanerozoic units are grouped according to stratigraphic age i.e. System/Period. The time-space diagram has the added benefit that it provides a summary of units currently included on the themes. The method used to distinguish sedimentary and many volcanic units varies for each geological eon as follows: 
 - Cainozoic units are morphological units which emphasise the relationship of the sedimentary fill to the landscape.
 - Mesozoic units are regionally extensive to continent-wide time-rock units which emphasise the System of Period(s).
 - Paleozoic units are stratotectonic units that emphasise either the dominant System or Period(s) or the range of Periods.
 - Proterozoic units are commonly regional stratotectonic units - separated by major time breaks and split into the Paleoproterozoic, Mesoproterozoic and Neoproterozoic Eras - which are generally unique to each cratonic region.
 - Archaean units are regional lithological units grouped into broad time divisions.
Metamorphic units are lithological units which emphasise the metamorphic facies and timing of the last major metamorphic event.
DOI: 10.48670/moi-00177
title: GLOBAL OCEAN L4 SIGNIFICANT WAVE HEIGHT FROM REPROCESSED SATELLITE MEASUREMENTS
DOI: 10.5066/p13raiez
title: Winter Tick Host Competency Data from Elk and Moose in the Southern Greater Yellowstone Ecosystem 2020-2023

description: Three tabular datasets providing tick counts from various transects and reproduction sites around Jackson, Wyoming. One table with data from total number of winter ticks collected running a transect along either an elk or moose hide, another table with winter tick counts collected and counted in a 250 m drag transect, and then the last table is the count of larvae that come from one fed female tick.
DOI: 10.5066/p91fm1k1
title: Database of Cienega Locations in Southwestern United States and Northern Mexico

description: Cienegas, as defined here, are wetlands in arid and semi-arid regions associated with groundwater or lotic components that ideally result in perennial waters on temporal scales of decades to centuries. Cienegas are typically no lower than 0 m, and higher than 2000 m, rarely lower but sometimes higher elevation localities occur. Cienegas are typified by significant differences in flora and fauna relative to the greater terrestrial conditions in the region in which it is located. Cienegas are freshwater to brackish North American wetlands associated with fluvial systems of arid/semi-arid areas of the southwestern U.S. and northwestern Mexico. Once extensively utilized by the region's indigenous human cultures, early European explorers and settlers, the extent of these aquatic riparian communities has dramatically decreased from historic conditions and the community is now considered imperiled in North America. This dataset provides location information and some limited attributes of cienegas in the southwestern U.S. and northern Mexico. There is no information as to the size of the cienega and other important attributes.
DOI: 10.5281/zenodo.13310788
title: Supplement to Warwel et al. : Local Earthquake Catalogue of the Copiapó region December 2022 until June 2023

description: Local Seismicity Catalogue of the  Copiapó region (December 2022 until June 2023).

The files contain the catalog, phase picks, and waveforms in SEISAN format. 

For details see Warwel et al. (submitted). 

This work was supported by the Bundesministerium für Bildung und Forschung (BMBF) under grant 03G0297A (PISAGUA).
DOI: 10.5281/zenodo.13326595
title: Raw datasets for paper "Multi-scale hydraulic graph neural networks for flood modelling"

description: The repository contains two zip folders for the synthetic and case study datasets (raw_datasets_mesh.zip, raw_datasets_dk15.zip). 

Each zip folder comprises 4 subfolders (DEM, Geometry, Hydrograph, Simulations), containing the elevation, boundary polygon, discharge hydrograph, and full hydrodynamic results for all simulations.

The overview.csv file provides the seeds used for experiment replicability and the runtime of the numerical model on each simulation.
DOI: 10.5281/zenodo.3998454
title: Development of a global dataset of Wetland Area and Dynamics for Methane Modeling (WAD2M)

description: Seasonal and interannual variations in global wetland area is a strong driver of fluctuations in global methane (CH<sub>4</sub>) emissions. Current maps of global wetland extent vary with wetland definition, causing substantial disagreement and large uncertainty in estimates of wetland methane emissions. To reconcile these differences for large-scale wetland CH<sub>4</sub> modeling, we developed a global Wetland Area and Dynamics for Methane Modeling (WAD2M) dataset at ~25 km resolution at equator (0.25 arc-degree) at monthly time-step for 2000-2018. WAD2M combines a time series of surface inundation based on active and passive microwave remote sensing at coarse resolution (~25 km) with six static datasets that discriminate inland waters, agriculture, shoreline, and non-inundated wetlands. We exclude all permanent water bodies (e.g. lakes, ponds, rivers, and reservoirs), coastal wetlands (e.g., mangroves and seagrasses), and rice paddies to only represent spatiotemporal patterns of inundated and non-inundated vegetated wetlands. Globally, WAD2M estimates the long-term maximum wetland area at 13.0 million km<sup>2</sup> (Mkm<sup>2</sup>), which can be separated into three categories: mean annual minimum of inundated and non-inundated wetlands at 3.5 Mkm<sup>2</sup>, seasonally inundated wetlands at 4.0 Mkm<sup>2</sup> (mean annual maximum minus mean annual minimum), and intermittently inundated wetlands at 5.5 Mkm<sup>2</sup> (long-term maximum minus mean annual maximum). WAD2M has good spatial agreements with independent wetland inventories for major wetland complexes, i.e., the Amazon Lowland Basin and West Siberian Lowlands, with high Cohen’s kappa coefficient of 0.54 and 0.70 respectively among multiple wetlands products. By evaluating the temporal variation of WAD2M against modeled prognostic inundation (i.e., TOPMODEL) and satellite observations of inundation and soil moisture, we show that it adequately represents interannual variation as well as the effect of El Niño-Southern Oscillation on global wetland extent. This wetland extent dataset will improve estimates of wetland CH<sub>4</sub> fluxes for global-scale land surface modeling.
DOI: 10.5281/zenodo.4056377
title: The last interglacial sea-level record of New Zealand (Aotearoa) - WALIS database of sea-level indicators

description: This file is an export of the data compiled within the standardized template of the World Atlas of Last Interglacial Shorelines (WALIS) database for New Zealand. The data is a compilation of relative sea-level indicator descriptions, including geographic position and elevation above a sea-level datum, and associated age constraints derived from previously published studies. There are 77 total indicators (direct, marine-, and terrestrial-limiting points) across the North and South Islands correlated with MIS 5, MIS 5e, MIS 5c, and MIS 5a.
DOI: 10.5281/zenodo.5009558
title: TLS measurements in the Qinghai-Tibet Engineering Corridor

description: Deformation monitoring was performance using a TLS with network RTK (Real-Time Kinematic) service provided by national geodetic control network (NGCN) for the China geodetic coordinate system 2000 (CGCS 2000) of permanent reference stations for GNSS (Global Navigation Satellite System). As a supplement to the TLS point cloud data, we prepared the Sentinel-1 deformation data for the freeze-thaw stage in the study area from 2014 to 2020 using Interferometric Synthetic Aperture Radar (InSAR) technology.
DOI: 10.5281/zenodo.5122519
title: Radar-based mesocyclone detections in Switzerland from 2016-2020

description: The data is owned by MeteoSwiss and the Laboratoire de Télédétection Environnementale, EPFL. It is linked to the research article: Feldmann et al., 2021, A Characterisation of Alpine Mesocyclone Occurrence, submitted to Weather and Climate Dynamics. Whenever using the dataset, please include a reference to this article. This dataset contains thunderstorm track data of thunderstorms containing a radar-detected mesocyclone in Switzerland from 2016-2020. Tracked variables include time, position, size, terrain altitude, track direction, track distance, rotational velocity, vorticity and depth of rotation, amongst others. The README.txt file contains a comprehensive list of all included variables and their units. The data is provided as a .csv file. The methods used to obtain this data are described in the corresponding publication (Feldmann et al., 2021).
DOI: 10.5281/zenodo.5811099
title: Long-term reconstruction of satellite-based precipitation, soil moisture, and snow water equivalent in China

description: A daily 0.1<sup>°</sup> dataset of precipitation (<em>P</em>), soil moisture (SM), and snow water equivalent (SWE) in 1981-2017 across China.
DOI: 10.5281/zenodo.6458451
title: Snow albedo dataset for "Divergence of apparent and intrinsic snow albedo over a season at a sub-alpine site with implications for remote sensing"

description: See DataExplanation.pdf
DOI: 10.5281/zenodo.7307293
title: Datasets for 'High Arctic aerosol hygroscopicity at sub- and supersaturated conditions during spring and summer'

description: For a description of the datasets, please see the readme file included in the zip folder
DOI: 10.5285/0b38c7f9-439d-34fb-e063-6c86abc02eca
title: Model output containing ocean and sea ice variables from GOSI9 eORCA12 (1976-2005).

description: This dataset contains monthly and annual means of ocean and sea ice variables from a 30 year (1976-2005) integration of the GOSI9 model configuration at 1/12° horizontal resolution. The ocean output fields on T, U, V, and W grids are provided in separate files. The ocean component is on a 1/12° grid (eORCA12) with 75 vertical levels. The sea ice data is on the ocean T grid with 5 thickness categories. GOSI9 is the latest version of the global ocean-sea ice configuration developed under the Joint Marine Modelling Programme (JMMP). The temperature and salinity fields were initialised from EN4 climatology (Good et al., 2013) and forced by the CORE2 surface dataset (Large & Yeager, 2009). All initialisation and ancillary data are also included. The data were generated under the Climate Linked Atlantic Sector Science (CLASS) project funded by the Natural Environment Research Council (NERC).
DOI: 10.5439/1150265
title: ARM: Mini Sound Detection and Ranging (SODAR)

description: Mini Sound Detection and Ranging (SODAR)
DOI: 10.5439/1255094
title: aosccn1colavg.b1

description: AOS ccn1col data merged with aoscpcf.b1 or aoscpc.b1 to generate aosccn1colavg.b1
DOI: 10.5439/1462693
title: Merged RWP-WACR-ARSCL Cloud Mask and Cloud Type

description: The Merged RWP-WACR-ARSCL Cloud Mask and Cloud Type PI Data Product combines the RWP calibrated radar reflectivity data with the WACR-ARSCL dataset to improve cloud mask in precipitating clouds and to provide cloud-type profile classification. WACR-ARSCL cloud profiles during substantial precipitation period where severe attenuation affects accuracy of WACR cloud-top detections were replaced with RWP profiles. The merged RWP-WACR-ARSCL cloud mask is then used to produce cloud-type profile classification. The cloud-type classification includes a total of seven cloud types: shallow cumulus, congestus, deep convective clouds, altocumulus, altostratus, cirrostratus and cirrus. See the data description for more details about the dataset.
DOI: 10.6084/m9.figshare.12581144.v2
title: Mechanical and hydraulic properties of the excavation damaged zone (EDZ) in the Opalinus Clay of the Mont Terri Rock Laboratory, Switzerland

description: Research data related to manuscript 'Mechanical and hydraulic properties of the excavation damaged zone (EDZ) in the Opalinus Clay of the Mont Terri Rock Laboratory, Switzerland'<br>
DOI: 10.14284/482
title: Sea level station monitoring facility

description: The objective of this service is: *to provide information about the operational status of global and regional networks of real time sea level stations *to provide a display service for quick inspection of the raw data stream from individual stations. This web-site initially focused on operational monitoring of sea level measuring stations in Africa and was developed from collaboration between Flanders Marine Institute (VLIZ) and the ODINAFRICA project of IODE. The site has since been expanded to a global station monitoring service for real time sea level measuring stations that are part of IOC programmes i.e. (i) the Global Sea Level Observing System Core Network; and (ii) the networks under the regional tsunami warning systems in the Indian Ocean (IOTWS), North East Atlantic & Mediterranean (NEAMTWS), Pacific (PTWS) and the Caribbean (CARIBE-EWS).
DOI: 10.1594/pangaea.907689
title: OZ-3 northern Western Australia sampling trip and analysis: strontium, rubidium and neodymium isotopes

description: Analyses performed by Dr Marc Norman, ANUProcedures as in: Gingele, F.X. & De Deckker, P. (2005)
DOI: 10.17595/20230707.001
title: GEOS-Chem model output for surface atmospheric compositions over East Asia

description: These are model results from GEOS-Chem simulation of surface atmospheric compositions including CO, ethane, propane, ozone, NOx and NOy over Hateruma in East Asian domain. The model input include assimilated meteorolgical dataset from GEOS/GMAO and emissions such as anthropogenic, biomass burning, biogenic as well as natural geological emissions for ethane and propane (interpolated from methane geological emissions from NOAA). The model product is on an hourly basis for the whole year in 2018.
DOI: 10.17632/5y9wdsg2zt.1
title: Concrete Crack Images for Classification

description: The dataset contains concrete images having cracks. The data is collected from various METU Campus Buildings. The dataset is divided into two as negative and positive crack images for image classification. Each class has 20000images with a total of 40000 images with 227 x 227 pixels with RGB channels. The dataset is generated from 458 high-resolution images (4032x3024 pixel) with the method proposed by Zhang et al (2016). High-resolution images have variance in terms of surface finish and illumination conditions. No data augmentation in terms of random rotation or flipping is applied. Lei Zhang , Fan Yang , Yimin Daniel Zhang, and Y. J. Z., Zhang, L., Yang, F., Zhang, Y. D., & Zhu, Y. J. (2016). Road Crack Detection Using Deep Convolutional Neural Network. In 2016 IEEE International Conference on Image Processing (ICIP). http://doi.org/10.1109/ICIP.2016.7533052
DOI: 10.17632/yzddsc67gy.1
title: Research Data of "Brief communication: On the environmental impacts of the 2023 floods in Emilia-Romagna (Italy)"

description: The data collect the personally georeferenced information about the environmental impacts of the floods occurred in Emilia Romagna (Italy) in May 2023. The format is a geopackage file with associate style (EPSG:32632).
DOI: 10.18157/qogbasjan24
title: The Quality of Government Basic Dataset, version Jan24
DOI: 10.23728/b2share.4863eb0b51404f9fac19a5c91a8b0041
title: COMSOL IEC Electrostatics and Charged Particle Tracing Dataset

description: COMSOL v. 6.2 .mph files for IEC electric field and single-ion charged particle tracing simulations
DOI: 10.25835/0090593
title: A Nested Multi-Scale System Implemented in the Large-Eddy Simulation Model PALM model system 6.0

description: PALM input files and source code
DOI: 10.25925/20201204
title: Multi-laboratory compilation of atmospheric carbon dioxide data for the period 1957-2019; obspack_co2_1_GLOBALVIEWplus_v6.1_2021-03-01

description: A full list of all creators for this product can be found at www.esrl.noaa.gov/gmd/ccgg/obspack/providerlist/obspack_co2_1_GLOBALVIEWplus_v6.1_2021-03-01.html. 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 511 atmospheric carbon dioxide datasets derived from observations made by 61 laboratories from 21 countries. Data for the period 1957-2019 (where available) are included.
DOI: 10.26186/89644
title: Digital Elevation Model (DEM) of Australia derived from LiDAR 5 Metre Grid

description: The Digital Elevation Model (DEM) 5 Metre Grid of Australia derived from LiDAR model represents a National 5 metre (bare earth) DEM which has been derived from some 236 individual LiDAR surveys between 2001 and 2015 covering an area in excess of 245,000 square kilometres. These surveys cover Australia's populated coastal zone; floodplain surveys within the Murray Darling Basin, and individual surveys of major and minor population centres. All available 1 metre resolution LiDAR-derived DEMs have been compiled and resampled to 5 metre resolution datasets for each survey area, and then merged into a single dataset for each State. These State datasets have also been merged into a 1 second resolution national dataset.

The acquisition of the individual LiDAR surveys and derivation of the 5m product has been part of a long-term collaboration between Geoscience Australia, the Cooperative Research Centre for Spatial Information (CRCSI), the Departments of Climate Change and Environment, State and Territory jurisdictions, Local Government and the Murray Darling Basin Authority under the auspices of the National Elevation Data Framework and Coastal and Urban DEM Program, with additional data supplied by the Australian Department of Defence. The source datasets have been captured to standards that are generally consistent with the Australian ICSM LiDAR Acquisition Specifications with require a fundamental vertical accuracy of at least 0.30m (95% confidence) and horizontal accuracy of at least 0.80m (95% confidence).