cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.1594/pangaea.909728
title: PISM parameter ensemble analysis of Antarctic Ice Sheet glacial cycle simulations

description: This dataset contains PISM simulation results of the Antarctic Ice Sheet based on code release v1.0-paleo-ensemble (https://doi.org/10.5281/zenodo.3574033). PISM is the open-source Parallel Ice Sheet Model developed mainly at UAF, USA and PIK, Germany. See documentation in http://www.pism-docs.org.With the help of the added jupyter notebook (Python 2.7.3), all figures can be reproduced as published in the article:- Albrecht et al., 2020, doi:10.5194/tc-14-633-2020.---Data:Find PISM results as netCDF data. See 'README.md' for a list of all performed experiment.All forcing input data for the experiments and plots can be downloaded and remapped via https://github.com/pism/pism-ais. Some of the original input data files are freely available, for others please contact the author or the corresponding data publisher.The jupyter notebook (https://jupyter.org) paleo_paper2_final.ipynb (based on python) in 'plot_scripts' accesses the uploaded PISM results in 'model_data' or 'supplement' and saves the plots as vector and pixel graphics to 'final_figures'. Edit header for changing work paths. Jupyter notebook can be run in the browser and shared, see https://nbviewer.jupyter.org/url/www.pik-potsdam.de/~albrecht/notebooks/paleo_paper/paleo_paper2_final.ipynb.---Methods:The scoring scheme with respect to modern and paleo data based on Python 2.7.3 can be downloaded from (https://doi.org/10.5281/zenodo.3585118). The ensemble analysis calculates misfits to the paleo constraint database AntICEdat (Briggs & Tarasov, 2013) and to RAISED Consortium (2014) as well as to modern ice geometry from Bedmap2 (Fretwell et al., 2013), ice speed (Rignot et al., 2011) an GPS (Whitehouse et al., 2011). The analysis is based on Pollard et al., (2016) and Briggs et al., (2014).---Contact :Albrecht, Torsten (albrecht@pik-potdam.de) ; Potsdam-Institute for Climate Impact Research (PIK), Potsdam, Germany
description: Supplement to: Albrecht, Torsten; Winkelmann, Ricarda; Levermann, Anders (2020): Glacial-cycle simulations of the Antarctic Ice Sheet with the Parallel Ice Sheet Model (PISM) - Part 2: Parameter ensemble analysis. The Cryosphere, 14(2), 633-656
DOI: 10.17037/data.00001664
title: Immunisation risk group - chronic kidney disease

description: Read codes for chronic kidney disease (stages 3-5, nephrotic syndrome, dialysis or transplant) according to PHE Green Book PPV risk group specification - to be used in combination with eGFR from serum creatinine test results.
DOI: 10.17632/9ttbpkwp3j.1
title: Data about Teachers' Perspectives Developing Digital Literacy for Secondary School Students

description: This dataset provides detailed information about lower secondary school teachers' perceptions and assessments of the current state of digital competency development for lower secondary school students in Vietnam. The dataset encompasses five main aspects from teachers' perspectives: (a) General teacher information, including province name, region, gender, age, years of service and educational qualifications, subjects currently teaching at school; (b) Teachers' understanding of digital competency and their assessment of the role of digital competency for students; (c) Conditions necessary to implement educational activities aimed at developing students' digital competency; (d) Current activities of teachers and schools (regarding the use of equipment, IT infrastructure, teaching methods, assessment activities); (e) Effectiveness of activities (regarding teaching methods, testing, assessment) aimed at developing digital competency for students. Data collection was conducted online via Google Forms from March 1-20, 2024, with the participation of 7,415 lower secondary school teachers from thirteen provinces in Vietnam. This dataset aims to provide valuable detailed information for policymakers and educational administrators about the current context in schools regarding educational activities aimed at developing digital competency for lower secondary school students. Additionally, this dataset serves as a basis for proposing solutions to develop students' digital competency, while helping lower secondary schools have direction in strengthening support for teachers to participate in training and professional development aimed at developing digital competency for learners. Educational administrators and researchers can use this data to better understand pedagogical requirements such as teacher training and policy development related to students' digital competency development. Furthermore, this dataset can help educational technology developers understand the needs, readiness, and use of equipment and IT infrastructure in teaching to develop students' digital competency across subjects. Overall, this dataset is valuable in providing an overview from teachers' perspectives on the current state of teaching aimed at developing digital competency for students in lower secondary schools for school leaders and educational policymakers in developing strategies, policies and guidelines appropriate to reality in training future human resources to achieve certain proficiency in digital skills.
DOI: 10.24381/cds.c866074c
title: CMIP6 predictions underpinning the C3S decadal prediction prototypes
DOI: 10.25380/iastate.24839280.v1
title: Synchrotron diffraction images of San Carlos Olivine deformed in a Rotational Diamond Anvil Cell

description: This data set contains synchrotron diffraction images in TIF format. The images are of San Carlos Olivine minerals compressed and sheared in a newly introduced dynamic rotation diamond anvil cell. The purpose for collecting this data set is trying to induce olivine-spinel phase transformation at room temperature for the first time under severe plastic strain and investigate the strain-induced phase transformation mechanism of olivine. The strain-induced phase transformation of olivine could be the key to solving many enigmas of deep-focus earthquakes.
DOI: 10.25850/nioz/7b.b.af
title: High-resolution current meter and hydrographic data from the Irminger Current mooring array 2020 - 2022

description: The Irminger Current mooring array consists of 5 subsurface ocean moorings in the Irminger Current on the Reykjanes Ridge in the North Atlantic Ocean. The fifth high-resolution data set of oceanographic variables from instrumentation of these moorings was collected from 26 of July 2020 to 6 August 2022. The moorings are named IC0, IC1, IC2, IC3 and IC4 going from west to east. The Irminger Current mooring array is part of the international Overturning of the Subpolar North Atlantic Program (OSNAP, www.o-snap.org) which runs from 2014 to at least 2024. The data set consists of ocean temperature, salinity, current velocities, pressure and time. Variables were collected at different time intervals, varying from 5 minutes to 1 hour. The data have been calibrated and quality controlled. The data and the metadata are stored in NetCDF files following the Climate Forecast (CF) conventions, see http://cfconventions.org
DOI: 10.25850/nioz/7b.b.nb
title: High-resolution current meter and hydrographic data from the Irminger Current mooring array 2016 - 2018

description: The Irminger Currrent mooring array consists of 5 subsurface ocean moorings in the Irminger Current on the Reykjanes Ridge in the North Atlantic Ocean. The third high-resolution data set of oceanographic variables from instrumentation on these moorings was collected from 6 August 2016 to 19 July 2018. The moorings are named IC0, IC1, IC2, IC3 and IC4 going from west to east. The Irminger Current mooring array is part of the international Overturning of the Subpolar North Atlantic Program (OSNAP, www.o-snap.org) which runs from 2014 to at least 2022. The data set consists ocean temperature, salinity, current velocities, pressure and time. Variables were collected at different time intervals, varying from 5 minutes to 1 hour. The data have been calibrated and quality controlled. The data and the metadata are stored in NetCDF files following the Climate Forecast (CF) conventions, see http://cfconventions.org
DOI: 10.25850/nioz/7b.b.pb
title: High-resolution current meter and hydrographic data from the Irminger Current mooring array 2018 - 2020

description: The Irminger Current mooring array consists of 5 subsurface ocean moorings in the Irminger Current on the Reykjanes Ridge in the North Atlantic Ocean. The fourth high-resolution data set of oceanographic variables from instrumentation of these moorings was collected from 16 of July 2018 to 2 August 2020. The moorings are named IC0, IC1, IC2, IC3 and IC4 going from west to east. The Irminger Current mooring array is part of the international Overturning of the Subpolar North Atlantic Program (OSNAP, www.o-snap.org) which runs from 2014 to at least 2022. The data set consists of ocean temperature, salinity, current velocities, pressure and time. Variables were collected at different time intervals, varying from 5 minutes to 1 hour. The data have been calibrated and quality controlled. The data and the metadata are stored in NetCDF files following the Climate Forecast (CF) conventions, see http://cfconventions.org
DOI: 10.3886/e183683v1
title: Data and Code: Fragile New Economy: Intangible Capital, Corporate Savings Glut, and Financial Instability

description: The transition towards an intangible-intensive economy reshapes financial system by creating a self-perpetuating savings glut in the production sector. As intangibles become increasingly important, firms hoard liquidity to finance investment in intangibles of limited pledgeability. Firms' savings feed cheap leverage to financial intermediaries and allow intermediaries to bid up asset prices, which in turn encourages firms to save more for asset creation. This paper develops a macro finance model that offers a coherent account of the rising corporate savings, debt fueled growth of intermediaries, declining interest rates, and rising asset valuation. Along these secular trends, endogenous financial risk accumulates.
description: U.S. firms, financial intermediaries, and households.
DOI: 10.4121/0159bc0e-3ab9-42b6-8b12-ad3b2294face
title: High-Resolution Datasets for Heat Vulnerability Assessment in High-Density Urban Areas of the Netherlands

description: <strong>OVERVIEW:</strong><br>- This repository contains datasets for calculating the daily maximum Urban Heat Island (UHImax) effect across Dutch urban areas. The methodology is based on the diagnostic equation developed by Theeuwes et al. (2017) for northwestern European cities. The datasets focus on municipalities with population densities exceeding 1,000 people per km².<br>- To support reproducibility, we provide detailed documentation that enable researchers to generate UHImax datasets for time periods other than 2023 (refer to the README.md for detailed documentation).<br><strong>DATASET SPECIFICATIONS:</strong><br>1) Urban Heat Island Maximum (UHImax) Dataset- Format: GeoTIFF- Resolution: 5m- Units: K- Value Range: 0-10 K- Temporal Coverage: Summer 2023 (June 1 - Sept 31)- NoData Value: NA<br><strong>2) Sky View Factor (SVF) Dataset</strong>- Format: GeoTIFF- Resolution: 5m- Value Range: 0-1 (0: completely obstructed; 1: completely unobstructed)- NoData Value: NA- Temporal Coverage: 2020-2022<br><strong>DATASET SPATIAL COVERAGE (99 Dutch municipalities) :</strong><br><em>Katwijk; Leiden; Leiderdorp; Lisse; Oegstgeest; Voorschoten; Zoetermeer; Teylingen; Leidschendam-Voorburg; 's-Gravenhage; Den Helder; Aalsmeer; Amstelveen; Amsterdam; Beverwijk; Diemen; Haarlem; Heemskerk; Heemstede; Uithoorn; Velsen; Zaanstad; Hillegom; Gooise Mere; Alkmaar; Heiloo; Hoorn; Purmerend; Stede Broec; Dijk en Waard; Amersfoort; Soest; Zeist; Nieuwegein; Blaricum; Hilversum; Huizen; Utrecht; Enkhuizen; Almere; Harderwijk; Urk; Arnhem; Wageningen; Westervoort; Zutphen; Veenendaal; Zwolle; Groningen; Almelo; Enschede; Hengelo (O.); Oldenzaal; Middelburg (Z.); Vlissingen; Maassluis; Westland; Maassluis; Westland; Alblasserdam; Barendrecht; Capelle aan den IJssel; Delft; Hendrik-Ido-Ambacht; Krimpen aan den IJssel; Ridderkerk; Rotterdam; Rijswijk (ZH.); Schiedam; Albrandswaard; Vlaardingen; Waddinxveen; Zwijndrecht; Lansingerland; Pijnacker-Nootdorp; Nissewaard; IJsselstein; Dordrecht; Gouda; Hardinxveld-Giessendam; Papendrecht; Sliedrecht; Breda; Tilburg; Culemborg; Tiel; Gorinchem; 's -Hertogenbosch; Eindhoven; Helmond; Veldhoven; Geldrop-Mierlo; Nijmegen; Roermond; Landgraaf; Brunssum; Heerlen; Kerkrade; Maastricht; Stein (L.); Sittard-Geleen.</em>
DOI: 10.48443/nvpj-4j94
title: Small mammal box trapping (DP1.10072.001)
title: RELEASE-2024

description: This data product contains the quality-controlled, native sampling resolution data from NEON's small mammal sampling protocol. Small mammal abundance and diversity are sampled at regular intervals by NEON field technicians at core and gradient sites. Here small mammals are defined based on a combination of behavioral, dietary, and size constraints, as the NEON design is limited to species sampled by box traps. This definition includes any mammal that is (1) nonvolant; (2) nocturnally active; (3) forages predominantly aboveground; and (4) is greater than 5 grams but less than approximately 500-600 g. In North America, this includes cricetids, heteromyids, small sciurids, and introduced murids. It does not include shrews, large squirrels, rabbits, or weasels, despite the fact that individuals of these species may be incidentally captured. Products resulting from this sampling include the species identification and unique identifier for each individual captured, as well as a suite of standard size measurements and reproductive condition data. Sample identifiers for any blood, ear, hair, whisker, fecal, and/or voucher samples collected are also provided. For additional details, see the user guide, protocols, and science design listed in the Documentation section in this data product's details webpage. For spatial data (text and shapefiles), download [`NEON_TOS_Plots`](https://data.neonscience.org/api/v0/documents/All_NEON_TOS_Plots_V7).

Latency:
The expected time from data and/or sample collection in the field to data publication is as follows, for each of the data tables (in days) in the downloaded data package. See the Data Product User Guide for more information.

mam_perplotnight: 45

mam_pertrapnight: 45

mam_voucher: 45

mam_identificationHistory: 7
description: Small mammal sampling is based on the lunar calendar, with timing of sampling constrained to occur within 10 days before or after the new moon. Sites are typically, sampled 4 times per year, when season-length allows. Small mammals are sampled using box traps (models LFA, XLK, H.B. Sherman Traps, Inc., Tallahassee, FL, USA). Box traps are arrayed in four to six (depending on the size of the site) 10 x 10 grids with 10m spacing between traps at all sites. Small mammal trapping bouts are comprised of one or three nights of trapping, depending on whether a grid is designated for pathogen sample collection (3 nights) or not (1 night). Instrumentation:
DOI: 10.5066/p9ex70l7
title: Amphibian (chorus frog, wood frog, tiger salamander) surveys in Rocky Mountain National Park (1986-2022)

description: This data release contains information collected during surveys for chorus fogs (Pseudacris maculata), wood frogs (Lithobates sylvaticus) and tiger salamanders (Ambystoma mavortium) conducted in Rocky Mountain National Park (1986 – 2022) by the U.S. Geological Survey. Survey methods included visual encounter and aural surveys, and dip netting. Data collected between 1986 and 1994 focused on named water bodies in Rocky Mountain National Park. Data collected between 1995 and 1999 are from focal monitoring sites as well as sporadic surveys of other wetlands. Data collected between 2000-2002 represent repeated surveys conducted between 1986 and 1994 (e.g., park-wide surveys of named water bodies) and additional surveys of unnamed waterbodies. Data collected after 2002 were collected under an occupancy framework. Sites were identified within pre-defined catchments using the National Wetlands Inventory Database to locate potential amphibian breeding habitat (e.g., ponds, ephemeral wetlands). If appropriate sites were encountered in the field and were not indicated on National Wetland Inventory databases (https://www.fws.gov/program/national-wetlands-inventory/metadata), they were added as incidental sites. Waterbodies were visited and surveyed at least two times during the amphibian active season (May and mid-August). Water bodies were surveyed for all life stages of amphibians.
DOI: 10.5281/zenodo.13729874
title: A simple model to calculate GMP from land fraction in palaeoclimate

description: dataset and code for a simple model which calculate GMP from land fraction in palaeoclimate

The dataset is in Netcdf form and the code is writen by python
DOI: 10.5281/zenodo.14750557
title: Data for Influence of Substitution Patterns on Isomer Preference in Chromone-Methanol Clusters

description: Dataset contains Input and Output files of ORCA together with corresponding XYZ structure files. They are related to DFT calculations as well as local energy decomposition on the DLPNO-CCSD(T) level.
DOI: 10.5281/zenodo.14752010
title: Chemical Diversity of Organosulfur Species in Various Atmospheric Environments Over the Guanzhong Basin of Northwest China

description: This record contains data related to article "Chemical Diversity of Organosulfur Species in Various Atmospheric Environments Over the Guanzhong Basin of Northwest China".It presents a comprehensive overview of the organic molecular compositions discussed in the article, as well as the foundational data for the other datasets.
DOI: 10.5281/zenodo.14918040
title: Towards biologically realistic estimates of home range and spatial exposure for colonial animals

description: Data required to run analysis for contribution:

 

Holly I. Niven, Jana W. E. Jeglinski, Geert Aarts, Ewan D. Wakefield, Jason Matthiopoulos (2025)

Towards biologically realistic estimates of home range and spatial exposure for colonial animals

Methods in Ecology and Evolution 

 

A new method improving the biological realism, tranferability and accuracy of home range and exposure estimation for colonial species. 

See related works for specific details of analysis workflow. 

 

Data obtained from EMODnet (accessed 24/11/2023):EMODNet, human activities, energy, wind farms. (2014).https://emodnet.ec.europa.eu/geonetwork/srv/eng/catalog.search#/metadata/8201070b-4b0b-4d54-8910-abcea5dce57f

 

Acknowledgements:

We thank EMODnet – Human Activities and primary sources for providing wind farm data: The Wind Power, OSPAR Commission (ODIM OSPAR data and information Management System), HELCOM - Baltic Marine Environment Protection Commission - Helsinki Commission, Wind Europe, Royal Belgian Institute of Natural Sciences, Danish Maritime Authority (Secretariat for maritime spatial planning), Ministry of Finance (Planning Department) (Rahandusministeerium), Ministry of The Environment and Regionals councils (Uusimaa, Kymenlaakso, Southwest Finland, Satakunta, Ostrobothnia, Central Ostrobothnia, North Ostrobothnia and Lapland), Åland Provincial Government, Cerema, Ministère de la Transition Écologique (GéoLittoral), Bundesamt für Seeschifffahrt und Hydrographie (BSH), Northland Deutsche Bucht GmbH, Marine Institute, Ministry of Environmental Protection and Regional Development of The Republic of Latvia, EPSOG, Ministry of Energy of the Republic of Lithuania, Lithuanian Energy Agency, Ministry of Infrastructure and the Environment (Noordzeeloket), Rijkswaterstaat - Ministry of Infrastructure and Water Management, Ministry of Maritime Economy and Inland Navigation, Maritime offices of Gdynia, Slupsk and Szczecin, Direção-Geral de Recursos Naturais, Segurança e Serviços Marítimos (DGRM), The Crown Estate UK, Crown Estate Scotland, Government of Spain - Ministry for Ecological Transition and the Demographic Challenge, Swedish Agency for Marine and Water Management.
DOI: 10.5281/zenodo.14948599
title: GP15 Iron Ligands in Seawater

description: The data have been uploaded to BCO-DMO.

 

https://www.bco-dmo.org/dataset/875210
DOI: 10.5281/zenodo.14955987
title: Data of 'Crystal-symmetry-paired spin-valley locking in a layered room temperature metallic altermagnet candidate'
DOI: 10.5281/zenodo.14987824
title: Curvature-based pebble segmentation for reconstructed surface meshes

description: Photos, resulting models, as well as used Python software with a tutorial.



sandbox.ply is the model reconstructed from photos in sandbox_jpegs.tar.bz2.

sandbox_segments.ply is a instance segmentation from that model, computed with the code in python_software.tar.bz2

This software also includes a tutorial.ipynb file.

??_mm.ply are the globally matched ground truth models for the ten pebbles reconstructed from photos in ground_truth_pebbles.tar.bz2.

table_tennis_balls.ply is the accuracy assessment model of stacked table tennis balls with a fixed radius of 20 mm.
DOI: 10.5285/1dbc9294-4e65-6530-e053-6c86abc09fb2
title: Concentrations of various mercury species (total mercury, THg; monomethyl mercury, MeHg; dissolved gaseous mercury, DGM; and dimethylmercury, DMeHg) as measured during GA10 GEOTRACES cruise in the South Atlantic Ocean.

description: The data on mercury speciation is needed for oceanographic campaigns because such data are generally missing from remote regions. The authors were selected to perform onboard measurements and to collect samples for later laboratory determination during the GA10 cruise across 40S parallel in the South Atlantic Ocean. The dataset contains results on mercury speciation; that is, concentrations for total, monomethyl-, dimethyl- and dissolved gaseous mercury. Total mercury and dissolved gaseous mercury were measured onboard the ship and the waters were collected from regular rosettes. Samples for mono- and dimethylmercury were stored for later analysis in the laboratory and were collected from trace metal clean (titanium) rosettes. Due to the nature of contamination, it is possible to use two different rosettes and not only a clean one.
DOI: 10.5439/1333228
title: armbecldrad

description: The ARMBE Cloud Radiation (ARMBECLDRAD) VAP contains a best estimate of several selected ARM and satellite-measured cloud and radiation relevant quantities.
DOI: 10.5439/1333748
title: armbeatm

description: The ARM Best Estimate Atmospheric Measurements (ARMBEATM) value-added product (VAP) provides a best estimate of several selected atmospheric state profiles and surface quantities observed by the ARM Facility. - The surface sensible and latent heat fluxes are from the Bulk Aerodynamic Energy Balance Bowen Ratio (BAEBBR) VAP and from the Quality Controlled Eddy Correlation Flux (QCECOR) VAP. -The large-scale atmospheric state variables are from the balloon-borne sounding system (SONDE), and the relative humidity data are from the Microwave Radiometer-Scaled Sonde Profiles VAP (where available), which scales the moisture profiles to match the microwave radiometer's total precipitable water vapor. -The surface precipitation, temperature, relative humidity, and horizontal winds are from the surface meteorological observational stations (SMOS) or ARM Standard Meteorological Instrumentation at Surface (MET) instruments. -To complement the sounding data, NWP analysis data are also included in the file for the SGP C1 site. The NWP analysis data are from the NOAA Rapid Update Cycle analysis.
DOI: 10.6073/pasta/08d4f3ff379f3ffa127ab33baf82d5ef
title: Monthly small nekton samplings collected in the Plum Island Estuary in 1999
DOI: 10.6073/pasta/4f873b2ca4804a52f50735601a4d4031
title: Monthly small nekton samplings collected in the Plum Island Estuary in 1997
DOI: 10.6073/pasta/61e6ff67edd802779a3155498793e962
title: Monthly small nekton samplings collected in the Plum Island Estuary in 1994
DOI: 10.6073/pasta/a1b635c288e49507ab0a97a2ffd1b690
title: Monthly small nekton samplings collected in the Plum Island Estuary in 1998