cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.17279396
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Ambroz Haračić, http://www.wikidata.org/entity/Q1252461. Claims or attributions were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
description: http://www.wikidata.org/entity/Q1252461
DOI: 10.5281/zenodo.17282272
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Ambroz Haračić, http://www.wikidata.org/entity/Q1252461. Claims or attributions were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
description: http://www.wikidata.org/entity/Q1252461
DOI: 10.5281/zenodo.17282273
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by A. R. Christiaensen, http://www.wikidata.org/entity/Q108887181. Claims or attributions were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
description: http://www.wikidata.org/entity/Q108887181
DOI: 10.5281/zenodo.17282274
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Julie Craves, https://orcid.org/0000-0002-9391-2767. Claims or attributions were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
DOI: 10.5281/zenodo.17253699
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Hermann Degenkolb, http://www.wikidata.org/entity/Q111660206. Claims or attributions were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
description: http://www.wikidata.org/entity/Q111660206
DOI: 10.5281/zenodo.17282275
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Hermann Degenkolb, http://www.wikidata.org/entity/Q111660206. Claims or attributions were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
description: http://www.wikidata.org/entity/Q111660206
DOI: 10.5281/zenodo.17282276
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Ryan J Schmidt-Knapik, https://orcid.org/0000-0002-4907-2270. Claims or attributions were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
DOI: 10.5281/zenodo.17282279
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Storo Silvestro Cimarolli, http://www.wikidata.org/entity/Q131397768. Claims or attributions were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
description: http://www.wikidata.org/entity/Q131397768
DOI: 10.5281/zenodo.14299282
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Storo Silvestro Cimarolli, http://www.wikidata.org/entity/Q131397768. Claims or attributions were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
description: http://www.wikidata.org/entity/Q131397768
DOI: 10.5281/zenodo.14610800
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Bernard Guy Gaston de Retz, http://www.wikidata.org/entity/Q21510048. Claims or attributions were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
description: http://www.wikidata.org/entity/Q21510048
DOI: 10.5281/zenodo.17282280
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Bernard Guy Gaston de Retz, http://www.wikidata.org/entity/Q21510048. Claims or attributions were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
description: http://www.wikidata.org/entity/Q21510048
DOI: 10.26023/wm4e-p67a-rb0v
title: CFACT: NCAR/EOL ISS Windcube Lidar CF-Radial Products. Version 1.0

description: Leosphere Windcube Lidar products collected by the EOL/Integrated Sounding System team during the Cold Fog Amongst Complex Terrain (CFACT) field campaign in Heber Valley, Utah. Data are provided in CF-Radial lidar parameters. Lidar scans include MAN, PPI, RHI, VAD stored separately in netCDF files. Note: There is pre-project data available on request, although data prior to 4 Jan. should be used with caution as the instrument level may be off.
DOI: 10.5281/zenodo.17282200
title: Dataset for Stability of vortex lattices in rotating flows

description: Datasets for figures in "Stability of vortex lattices in rotating flows" Data comes from numerical simulations of Rotating Navier stokes equation using the GHOST code.  Data is provided in NetCDF files with Python scripts giving examples on how to read the files.
DOI: 10.5281/zenodo.17282201
title: Dataset for Stability of vortex lattices in rotating flows

description: Datasets for figures in "Stability of vortex lattices in rotating flows" Data comes from numerical simulations of Rotating Navier stokes equation using the GHOST code.  Data is provided in NetCDF files with Python scripts giving examples on how to read the files.
DOI: 10.26023/9z1r-7dtk-m30d
title: CFACT: NCAR/EOL ISS Windcube Lidar VAD Winds. Version 1.0

description: Leosphere Windcube Lidar product collected by the EOL/Integrated Sounding System team during the Cold Fog Amongst Complex Terrain (CFACT) field campaign in Heber Valley, Utah. Wind profiles are calculated using a Velocity-Azimuth Display (VAD) technique described in the data quality report. Thresholds were applied to various lidar parameters as a method of quality control.
DOI: 10.15131/shef.data.30285556
title: Minute Rebond Data

description: All raw data for the paper titled:Minute Rebond: A Simple Method for Making Lab-Scale Rebonded Foam and Its Application as a Novel Soilless Growing MediaPolyurethane foams (PUFs) utilised in the comfort industry generate substantial trim waste volumes requiring end-of-life management. Rebonding, one form of mechanical recycling, is a technique involving the mechanical breakdown and subsequent adhesion of PUF using polyurethane prepolymers yielding a recycled material. However, the limited investigation into the properties of rebond PUF constrains its potential for novel alternative uses, such as soilless plant-growing media. A laboratory-scale rebond pro-duction method has been developed, and a series of rebond PUFs produced to evaluate the influence of crumb size, density, prepolymer chemistry, and prepolymer loading on the properties of the rebond PUFs and their suitability as growing media. The results indicated that higher quality rebonds were obtained with larger crumb sizes (mixed or &gt;7 mm), moderate amounts of prepolymer (4.5 to 7.5% by mass), and higher densities. Increasing density directly influenced plant growth-related properties, including re-ducing airflow, increasing water uptake through wicking, and increasing water reten-tion through drainage alongside larger crumb sizes [&gt;7 mm]. To demonstrate the method’s utility for rapid screening, a plant growth trial was conducted using density as the key variable. Eruca sativa plants grown in low-density rebonds exhibited comparable growth (leaf length, leaf width, and shoot fresh weight) to mineral wool, whereas me-dium- and high-density rebonds showed reduced growth. This study validates a lab-scale technique that enables the rapid optimisation of rebond PUFs for novel appli-cations like soilless growing media.
DOI: 10.15131/shef.data.30285556.v1
title: Minute Rebond Data

description: All raw data for the paper titled:Minute Rebond: A Simple Method for Making Lab-Scale Rebonded Foam and Its Application as a Novel Soilless Growing MediaPolyurethane foams (PUFs) utilised in the comfort industry generate substantial trim waste volumes requiring end-of-life management. Rebonding, one form of mechanical recycling, is a technique involving the mechanical breakdown and subsequent adhesion of PUF using polyurethane prepolymers yielding a recycled material. However, the limited investigation into the properties of rebond PUF constrains its potential for novel alternative uses, such as soilless plant-growing media. A laboratory-scale rebond pro-duction method has been developed, and a series of rebond PUFs produced to evaluate the influence of crumb size, density, prepolymer chemistry, and prepolymer loading on the properties of the rebond PUFs and their suitability as growing media. The results indicated that higher quality rebonds were obtained with larger crumb sizes (mixed or &gt;7 mm), moderate amounts of prepolymer (4.5 to 7.5% by mass), and higher densities. Increasing density directly influenced plant growth-related properties, including re-ducing airflow, increasing water uptake through wicking, and increasing water reten-tion through drainage alongside larger crumb sizes [&gt;7 mm]. To demonstrate the method’s utility for rapid screening, a plant growth trial was conducted using density as the key variable. Eruca sativa plants grown in low-density rebonds exhibited comparable growth (leaf length, leaf width, and shoot fresh weight) to mineral wool, whereas me-dium- and high-density rebonds showed reduced growth. This study validates a lab-scale technique that enables the rapid optimisation of rebond PUFs for novel appli-cations like soilless growing media.
DOI: 10.34740/kaggle/dsv/13284395
title: Peer-to-Peer Boliviano (BOB) Exchange Data
DOI: 10.5281/zenodo.17128262
title: LuwianSiteAtlas: A Spatial and Interoperable Dataset of Bronze Age Settlements in Western Anatolia

description: This dataset offers a comprehensive digital catalogue of 483 archaeological settlement sites in western Anatolia dating to the Middle and Late Bronze Age (c. 2000–1200 BCE). Compiled over more than a decade, it brings together evidence from excavation reports, systematic surveys, historical sources, and remote sensing studies. Each site is georeferenced and described through a standardized set of metadata, including chronological attribution, site function, material culture, bibliographic references, and proximity to ancient mineral resources. The dataset is published on Zenodo as a collection of openly accessible files in JSON and CSV formats, structured with consistent keys that ensure integration across records. To enhance semantic interoperability, settlement entries are linked to external reference datasets such as digital gazetteers, creating opportunities for comparative, geospatial, and interdisciplinary research spanning archaeology, digital humanities, and historical geography. By combining standardized metadata with semantic linking, the resource facilitates reuse within broader digital infrastructures. It thereby provides a transparent, openly licensed foundation for analyzing regional settlement systems and encourages more comprehensive approaches to the study of Bronze Age Anatolia.
DOI: 10.5281/zenodo.15620806
title: LuwianSiteAtlas: A Spatial and Interoperable Dataset of Bronze Age Settlements in Western Anatolia

description: This dataset offers a comprehensive digital catalogue of 483 archaeological settlement sites in western Anatolia dating to the Middle and Late Bronze Age (c. 2000–1200 BCE). Compiled over more than a decade, it brings together evidence from excavation reports, systematic surveys, historical sources, and remote sensing studies. Each site is georeferenced and described through a standardized set of metadata, including chronological attribution, site function, material culture, bibliographic references, and proximity to ancient mineral resources. The dataset is published on Zenodo as a collection of openly accessible files in JSON and CSV formats, structured with consistent keys that ensure integration across records. To enhance semantic interoperability, settlement entries are linked to external reference datasets such as digital gazetteers, creating opportunities for comparative, geospatial, and interdisciplinary research spanning archaeology, digital humanities, and historical geography. By combining standardized metadata with semantic linking, the resource facilitates reuse within broader digital infrastructures. It thereby provides a transparent, openly licensed foundation for analyzing regional settlement systems and encourages more comprehensive approaches to the study of Bronze Age Anatolia.
DOI: 10.26023/47y2-xg2e-v0c
title: CFACT: NCAR/EOL ISS Windcube Lidar VAD Hourly Consensus Winds. Version 1.0

description: Leosphere Windcube Lidar product collected by the EOL/Integrated Sounding System team during the Cold Fog Amongst Complex Terrain (CFACT) field campaign in Heber Valley, Utah. Hourly consensus average wind profiles calculated from the quality controlled VAD winds data product.
DOI: 10.26023/9k3h-qffc-1e0z
title: WINTRE-MIX: ECCC CASBV Blainville, Quebec Radar Data. Version 1.0

description: Environment and Climate Change Canada (ECCC) radar data for the Blainville, Montreal Quebec site (CASBV) collected during the WINTRE-MIX (Winter Precipitation Type Research Multi-scale Experiment) field project are included in this dataset. Note that this dataset is missing data rom 2/10/22 00:30 to 2/13/22 00:06. To learn more about this dataset, please see the the Related Links section. This is a large dataset. Please consider ordering only the days needed.
DOI: 10.26023/pyz0-8t6w-380b
title: WINTRE-MIX: MRMS 2D Low Level Composite Reflectivity Products. Version 1.0

description: MRMS 2D LowLevelCompositeReflectivity Products collected during the Winter Precipitation Type Research Multi-scale Experiment (WINTRE-MIX) time and area of interest are included in this dataset. The data are in GRIB2 format. This is a large dataset. Please order only the time period that is required.
DOI: 10.5281/zenodo.13800046
title: Retrieval and Validation of Total Seasonal Liquid Water Amounts in the Percolation Zone of Greenland Ice Sheet Using L-band Radiometry

description: This repository contains the dataset associated with the analyses presented in the following study:

Hossan, A., Colliander, A., Vandecrux, B., Schlegel, N.-J., Harper, J., Marshall, S., and Miller, J. Z.: Retrieval and validation of total seasonal liquid water amounts in the percolation zone of the Greenland Ice Sheet using L-band radiometry, The Cryosphere, 19, 4237–4258, https://doi.org/10.5194/tc-19-4237-2025, 2025.

In this study, we demonstrated the capability of NASA's Soil Moisture Active Passive (SMAP) L-band radiometer to estimate surface and subsurface liquid water amounts (LWA) in the percolation zone of the Greenland Ice Sheet. The article presents our initial retrieval algorithm, validation results, and highlights the potential for developing a Greenland-wide LWA data product.

Contents of this Repository

This repository includes:



SMAP-retrieved daily, vertically integrated LWA gridded initial data products (2015–2023), derived from enhanced-resolution SMAP TB observations. These data include spatial coordinates, acquisition dates, and a melt flag indicator.



SMAP_LWA_time_series_AWS contains daily time series at a AWS location (point observation)

Samimi_EBM_LWA_time_series_AWS contains corresponding time series of LWA estimated by Samimi model forced by PROMICE AWS.

GEMB_LWA_time_series_AWS contains corresponding time series of LWA estimated by GEMB model forced by PROMICE AWS

The locations and name ID of the AWS are given in AWS.txt/xls file

L_band_LWA_yyyy.nc files contain daily LWA and TB data over the entire percolation zone


Corresponding vertically polarized brightness temperature (TBV) data, including their winter mean and standard deviation.

Model-based LWA estimates used for validation, including outputs from:



The locally calibrated Energy and Mass Balance (EMB) model.

The Glacier Energy and Mass Balance (GEMB) model within NASA’s Ice-sheet and Sea-level System Model (ISSM).



Retrieval and Validation Codebase

The MATLAB scripts and tools used for the microwave retrieval algorithm, radiative transfer modeling, inversion process, and comparative validation with in situ AWS-driven model outputs are available at the following GitHub repository:

🔗 https://github.com/HossanAlamgir/SMAP_MWA_Retrieval_and_Validation_GrIS(Last accessed: 17 September 2025)

The codebase includes:



Preprocessing routines for SMAP TB data.

Implementation of the radiative transfer forward model.

Inversion and threshold-based detection algorithms.

Validation scripts for comparison against AWS-forced EMB and GEMB model outputs.


Relevance

These data and methods support ongoing efforts to improve surface mass balance (SMB) estimates and enhance projections of Greenland’s contribution to global sea level rise.
DOI: 10.5281/zenodo.13976823
title: Retrieval and Validation of Total Seasonal Liquid Water Amounts in the Percolation Zone of Greenland Ice Sheet Using L-band Radiometry

description: This repository contains the dataset associated with the analyses presented in the following study:

Hossan, A., Colliander, A., Vandecrux, B., Schlegel, N.-J., Harper, J., Marshall, S., and Miller, J. Z.: Retrieval and validation of total seasonal liquid water amounts in the percolation zone of the Greenland Ice Sheet using L-band radiometry, The Cryosphere, 19, 4237–4258, https://doi.org/10.5194/tc-19-4237-2025, 2025.

In this study, we demonstrated the capability of NASA's Soil Moisture Active Passive (SMAP) L-band radiometer to estimate surface and subsurface liquid water amounts (LWA) in the percolation zone of the Greenland Ice Sheet. The article presents our initial retrieval algorithm, validation results, and highlights the potential for developing a Greenland-wide LWA data product.

Contents of this Repository

This repository includes:



SMAP-retrieved daily, vertically integrated LWA gridded initial data products (2015–2023), derived from enhanced-resolution SMAP TB observations. These data include spatial coordinates, acquisition dates, and a melt flag indicator.



SMAP_LWA_time_series_AWS contains daily time series at a AWS location (point observation)

Samimi_EBM_LWA_time_series_AWS contains corresponding time series of LWA estimated by Samimi model forced by PROMICE AWS.

GEMB_LWA_time_series_AWS contains corresponding time series of LWA estimated by GEMB model forced by PROMICE AWS

The locations and name ID of the AWS are given in AWS.txt/xls file

L_band_LWA_yyyy.nc files contain daily LWA and TB data over the entire percolation zone


Corresponding vertically polarized brightness temperature (TBV) data, including their winter mean and standard deviation.

Model-based LWA estimates used for validation, including outputs from:



The locally calibrated Energy and Mass Balance (EMB) model.

The Glacier Energy and Mass Balance (GEMB) model within NASA’s Ice-sheet and Sea-level System Model (ISSM).



Retrieval and Validation Codebase

The MATLAB scripts and tools used for the microwave retrieval algorithm, radiative transfer modeling, inversion process, and comparative validation with in situ AWS-driven model outputs are available at the following GitHub repository:

🔗 https://github.com/HossanAlamgir/SMAP_MWA_Retrieval_and_Validation_GrIS(Last accessed: 17 September 2025)

The codebase includes:



Preprocessing routines for SMAP TB data.

Implementation of the radiative transfer forward model.

Inversion and threshold-based detection algorithms.

Validation scripts for comparison against AWS-forced EMB and GEMB model outputs.


Relevance

These data and methods support ongoing efforts to improve surface mass balance (SMB) estimates and enhance projections of Greenland’s contribution to global sea level rise.
DOI: 10.26023/fdrr-2fg2-610q
title: WINTRE-MIX: MRMS 3DRhoHV Products. Version 1.0

description: MRMS 3DRhoHV Products collected during the Winter Precipitation Type Research Multi-scale Experiment (WINTRE-MIX) time and area of interest are included in this dataset. The data are in GRIB2 format. This is a large dataset. Please order only the time period that is required.
DOI: 10.26023/r2mr-1557-2907
title: WINTRE-MIX: MRMS 3DZdr Products. Version 1.0

description: MRMS 3DZdr Products collected during the Winter Precipitation Type Research Multi-scale Experiment (WINTRE-MIX) time and area of interest are included in this dataset. The data are in GRIB2 format. This is a large dataset. Please order only the time period that is required.
DOI: 10.25946/30268165
title: Survey with academics

description: This data set contains the de-identified surveys with the academics of the three case study HEI organisations.
DOI: 10.25946/30268165.v1
title: Survey with academics

description: This data set contains the de-identified surveys with the academics of the three case study HEI organisations.
DOI: 10.25946/30268159.v1
title: Interviews with Senior and Mid-Level Administrators

description: This data set contains the de-identified interview transcripts with the Senior and Mid-Level Administrators of the three case study HEI organisations.
DOI: 10.25946/30268159
title: Interviews with Senior and Mid-Level Administrators

description: This data set contains the de-identified interview transcripts with the Senior and Mid-Level Administrators of the three case study HEI organisations.
DOI: 10.26023/e622-ed24-b90y
title: WINTRE-MIX: MRMS 2D Merged Base Reflectivity Products. Version 1.0

description: MRMS 2D Merged Base Reflectivity Products collected during the Winter Precipitation Type Research Multi-scale Experiment (WINTRE-MIX) time and area of interest are included in this dataset. The data are in GRIB2 format. This is a large dataset. Please order only the time period that is required.
DOI: 10.5281/zenodo.17282330
title: Benchmark Logs for Virtualization Overhead Analysis of CPU-Intensive OpenMP Workloads on KVM, Proxmox VE, Xen, and Hyper-V

description: This dataset contains log files from benchmarking experiments conducted to evaluate virtualization overhead for CPU-intensive HPC workloads. All experiments were run on a GMKtec K11 mini-PC with an AMD Ryzen 9 8945HS processor (8 cores / 16 threads, 32 GiB DDR5, 1 TB NVMe SSD) using Ubuntu 24.04 LTS as both the host and guest operating system across different hypervisors.

The benchmarks come from the SPEC ACCEL 1.2 suite (OpenMP subset, CPU-only, accelerator offloading disabled), including pilbdc, pseismic, psp, pep, pcg, and pswim. These workloads represent lattice Boltzmann flow solvers, seismic modeling, synthetic CFD problems, random pair distributions, conjugate gradient solvers, and shallow-water weather simulations, respectively.

The log files record raw runtimes for each workload under bare-metal execution and virtualized environments (KVM, Proxmox VE, Xen, Hyper-V), providing reproducible data for performance analysis of virtualization overhead in CPU-bound parallel applications.