cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.14998771
title: MSRE

description: These are Step-files containing models of the Molten Salt Reactor Experiment as used in the tutorial video https://www.youtube.com/watch?v=ACPehDVfUrE.

This model is akin to the model used in 10.3389/fnuen.2024.1385478



Use the script "msre_step2h5m.py" to convert the 3 step.files into h5m-files that may be used by OpenMC using the CAD_to_OpenMC-utility.

Use the script "msre_critical.py" to run OpenMC with a set of material definitions etc. that correspond (as close as presently possible) to what was used in the experiment.
DOI: 10.5281/zenodo.14998772
title: MSRE step files

description: These are Step-files containing models of the Molten Salt Reactor Experiment as used in the tutorial video https://www.youtube.com/watch?v=ACPehDVfUrE.

This model is akin to the model used in 10.3389/fnuen.2024.1385478
DOI: 10.5281/zenodo.15000209
title: MSRE

description: These are Step-files containing models of the Molten Salt Reactor Experiment as used in the tutorial video https://www.youtube.com/watch?v=ACPehDVfUrE.

This model is akin to the model used in 10.3389/fnuen.2024.1385478



Use the script "msre_step2h5m.py" to convert the 3 step.files into h5m-files that may be used by OpenMC using the CAD_to_OpenMC-utility.

Use the script "msre_critical.py" to run OpenMC with a set of material definitions etc. that correspond (as close as presently possible) to what was used in the experiment.
DOI: 10.15468/dl.bnyyps
title: Occurrence Download

description: A dataset containing 15202 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Specimen, Material sample, Material citation)",
 "Continent is one of (North America, South America, Africa)",
 "TaxonKey is Micropholis (Griseb.) Pierre"
 ]
}

 The dataset includes 15202 records from 309 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000654-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15000709
title: DUAL-IPA

description: Raw FACS data for DUAL-IPA.GFP mCherry signals, per cell
DOI: 10.5281/zenodo.15000710
title: DUAL-IPA

description: Raw FACS data for DUAL-IPA.GFP mCherry signals, per cell
DOI: 10.15468/dl.hfwacz
title: Occurrence Download

description: A dataset containing 49 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((118.57621 37.60896,119.33498 37.60896,119.27024 37.83405,119.20636 37.81359,119.11659 37.85041,119.11486 37.90764,119.02146 37.99541,118.98365 38.08639,118.93013 38.15295,118.82502 38.16232,118.62225 38.14047,118.59693 38.1097,118.56611 38.09119,118.57621 37.60896))",
 "HasGeospatialIssue is false",
 "IucnRedListCategory is NT",
 "OccurrenceStatus is Present",
 "TaxonKey is Aves",
 "Year 2000-2020"
 ]
}

 The dataset includes 49 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000655-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15480/882.14884
title: Automatic Infill Generation with Honeycomb and Grid Structures in MIM Mold Design for Metallic Bipolar Plates

description: This dataset highlights a specialized application of automation and optimization of infill structures using the Synera platform. By developing a Synera code to automatically apply infill structures to any model, the design process becomes significantly more efficient, allowing engineers to expedite the transition from concept to production. The practical relevance of this technology is demonstrated in its application to injection molds for bipolar plates within the Metal Injection Molding (MIM) process. Bipolar plates are critical components in fuel cells that require precisely manufactured parts to ensure structural integrity and optimal material usage. Furthermore, the use of Material Extrusion of Metals (MEX/M) processes emphasizes the interdisciplinary integration of additive and traditional manufacturing technologies. Insights from automated infill generation can thus be directly applied to the physical production of prototypes or end-use parts, showcasing the potential of Synera in design automation and the synergy between digital design and conventional manufacturing methods.
DOI: 10.15468/dl.pg68fc
title: Occurrence Download

description: A dataset containing 1232 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Tropiphorus elevatus (Herbst, 1795)",
 "HasGeospatialIssue is false",
 "HasCoordinate is true"
 ]
}

 The dataset includes 1232 records from 70 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000656-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.nuugqk
title: Occurrence Download

description: A dataset containing 1771 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (Netherlands, Belgium, Luxembourg)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Eliomys quercinus (Linnaeus, 1766)"
 ]
}

 The dataset includes 1771 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000659-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.nbdmxb
title: Occurrence Download

description: A dataset containing 1985 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Crocodylus palustris (Lesson, 1831)"
 ]
}

 The dataset includes 1985 records from 42 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000658-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.h6pzad
title: Occurrence Download

description: A dataset containing 225 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Felis margarita Loche, 1858"
 ]
}

 The dataset includes 225 records from 26 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000657-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.txfcdm
title: Occurrence Download

description: A dataset containing 6105 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is France",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Sempervivum montanum L.",
 "Year 2010-2025"
 ]
}

 The dataset includes 6105 records from 108 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000660-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14603731
title: London: DART_5-6-7_v992, 5-6-7_v998,5-7-0_v1011,5-7-0_v1017,5-7-0_v1018, 5-7-0_v1021, 5-7-0_v1046,5-7-4_1091,5-7-4_1094,5-7-4_1101,5-7-4_1103,5-7-4-1082,5-7-5_1141,5-7-6_1147,5-8-0_1211,5-7-1_1058, 5-7-3_1075

description: DART model runs connected to Morrison led work in these papers:

see also: 10.5281/zenodo.14608210






Stretton MA, W Morrison,  RJ Hogan, S Grimmond 2023: Evaluation of vertically resolved longwave radiation in SPARTACUS-Urban and the sensitivity to urban surface temperatures  Geoscientific Model Development 16:5931-47 https://doi.org/10.5194/gmd-16-5931-2023





Morrison W, Grimmond S, Kotthaus S 2023: Simulating satellite urban land surface temperatures: sensitivity to sensor view angle and assumed landscape complexity Remote Sensing of the Environment 293:113579 <https://doi.org/10.1016/j.rse.2019.111524>





Stretton MA, RJ Hogan, CSB Grimmond, W Morrison 2023: Characterising the vertical structure of buildings in cities for use in atmospheric models Urban Climate 50:101560 https://doi.org/10.1016/j.uclim.2023.101560





Xie X, Z Luo, S Grimmond, T Sun, W Morrison 2022: Impact of inter-building longwave radiative exchanges on building energy performance and indoor overheating Building and Environment 209:108628 https://doi.org/10.1016/j.buildenv.2021.108628 





Stretton M, W Morrison, R Hogan, S Grimmond 2022: Modelling vertically resolved shortwave radiation in urban areas: evaluation of SPARTACUS-Urban Boundary-Layer Meteorology 184:301–331, https://doi.org/10.1007/s10546-022-00706-9





Morrison W, S Kotthaus S Grimmond  2021: Urban surface temperature observations from ground-based thermography: intra- and inter-facet variability Urban Climate  35:100748 https://doi.org/10.1016/j.uclim.2020.100748





Morrison W, T Yin, N Lauret, J Guilleux, S Kotthaus, JP Gastellu-Etchegorry, L Norford, CSB Grimmond 2020: Atmospheric and emissivity correction for ground-based thermography using 3D radiative transfer modelling Remote Sensing of the Environment 237:111524 https://doi.org/10.1016/j.rse.2019.111524





Morrison W, S Kotthaus; S Grimmond, A Inagaki, T Yin, J-P Gastellu-Etchegorry, M Kanda, C Merchant 2018: A novel method to obtain three-dimensional urban surface temperature from ground-based thermography Remote Sensing of the Environment 215:268-283 https://doi.org/10.1016/j.rse.2018.05.004
DOI: 10.5281/zenodo.14603732
title: London: DART_5-6-7_v992, 5-6-7_v998,5-7-0_v1011,5-7-0_v1017,5-7-0_v1018, 5-7-0_v1021, 5-7-0_v1046,5-7-4_1091,5-7-4_1094,5-7-4_1101,5-7-4_1103,5-7-4-1082,5-7-5_1141,5-7-6_1147,5-8-0_1211,5-7-1_1058, 5-7-3_1075

description: DART model runs connected to Morrison led work in these papers:

see also: 10.5281/zenodo.14608210






Stretton MA, W Morrison,  RJ Hogan, S Grimmond 2023: Evaluation of vertically resolved longwave radiation in SPARTACUS-Urban and the sensitivity to urban surface temperatures  Geoscientific Model Development 16:5931-47 https://doi.org/10.5194/gmd-16-5931-2023





Morrison W, Grimmond S, Kotthaus S 2023: Simulating satellite urban land surface temperatures: sensitivity to sensor view angle and assumed landscape complexity Remote Sensing of the Environment 293:113579 <https://doi.org/10.1016/j.rse.2019.111524>





Stretton MA, RJ Hogan, CSB Grimmond, W Morrison 2023: Characterising the vertical structure of buildings in cities for use in atmospheric models Urban Climate 50:101560 https://doi.org/10.1016/j.uclim.2023.101560





Xie X, Z Luo, S Grimmond, T Sun, W Morrison 2022: Impact of inter-building longwave radiative exchanges on building energy performance and indoor overheating Building and Environment 209:108628 https://doi.org/10.1016/j.buildenv.2021.108628 





Stretton M, W Morrison, R Hogan, S Grimmond 2022: Modelling vertically resolved shortwave radiation in urban areas: evaluation of SPARTACUS-Urban Boundary-Layer Meteorology 184:301–331, https://doi.org/10.1007/s10546-022-00706-9





Morrison W, S Kotthaus S Grimmond  2021: Urban surface temperature observations from ground-based thermography: intra- and inter-facet variability Urban Climate  35:100748 https://doi.org/10.1016/j.uclim.2020.100748





Morrison W, T Yin, N Lauret, J Guilleux, S Kotthaus, JP Gastellu-Etchegorry, L Norford, CSB Grimmond 2020: Atmospheric and emissivity correction for ground-based thermography using 3D radiative transfer modelling Remote Sensing of the Environment 237:111524 https://doi.org/10.1016/j.rse.2019.111524





Morrison W, S Kotthaus; S Grimmond, A Inagaki, T Yin, J-P Gastellu-Etchegorry, M Kanda, C Merchant 2018: A novel method to obtain three-dimensional urban surface temperature from ground-based thermography Remote Sensing of the Environment 215:268-283 https://doi.org/10.1016/j.rse.2018.05.004
DOI: 10.15468/dl.ggm5bs
title: Occurrence Download

description: A dataset containing 29 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Morocco",
 "Geometry POLYGON((-34.02568 9.47918,26.02568 9.47918,26.02568 33.52082,-34.02568 33.52082,-34.02568 9.47918))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Echis leucogaster Roman, 1972"
 ]
}

 The dataset includes 29 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000663-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5pve4d
title: Occurrence Download

description: A dataset containing 505 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((118.57621 37.60896,119.33498 37.60896,119.27024 37.83405,119.20636 37.81359,119.11659 37.85041,119.11486 37.90764,119.02146 37.99541,118.98365 38.08639,118.93013 38.15295,118.82502 38.16232,118.62225 38.14047,118.59693 38.1097,118.56611 38.09119,118.57621 37.60896))",
 "HasGeospatialIssue is false",
 "IucnRedListCategory is LC",
 "OccurrenceStatus is Present",
 "TaxonKey is Aves",
 "Year 2000-2020"
 ]
}

 The dataset includes 505 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000661-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.m2b3xf
title: Occurrence Download

description: A dataset containing 53177 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((8.56185 44.93668,6.28639 43.49152,3.57009 44.3192,2.58926 42.4987,0.12661 41.39923,-1.20726 38.1611,-5.53883 37.29919,-6.54609 35.86262,-5.37717 34.5453,-2.93269 34.57177,-1.85587 34.54934,-0.98135 34.52785,0.0762 35.50534,1.21321 35.34071,4.31209 36.25983,5.5088 35.83538,6.78721 36.3712,10.21526 36.59359,9.39152 33.25733,19.37272 29.63641,33.70694 30.73832,36.28914 31.57356,36.6241 36.95171,33.80367 37.76867,28.74 37.48269,26.04265 41.9164,22.55695 41.59679,22.09344 39.41919,21.02155 39.49901,20.48111 42.06535,13.29246 46.52273,11.51023 45.7252,8.56185 44.93668))",
 "TaxonKey is Chlorophyta",
 "Year 2000-2025"
 ]
}

 The dataset includes 53177 records from 113 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000631-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.x3pktd
title: Occurrence Download

description: A dataset containing 315249 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Spain",
 "TaxonKey is Capreolus capreolus (Linnaeus, 1758)",
 "Year 1980-2025"
 ]
}

 The dataset includes 315249 records from 20 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000641-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.13127/geomag/lampedusa.yearbook.2023
title: geomag /lampedusa/ yearbook / 2023
title: Geo_yearbook

description: Lampedusa observatory (IAGA code: LMP), established in 2005 is one of the three geomagnetic observatories in Italy, operated and mantained by Istituto Nazionale di Geofisica e Vulcanologia (INGV). The observatory is located in a protected natural reserve at Lampedusa (Sicily), a small island in the southernmost part of Italy, located in the middle of the Mediterranean Sea.
description: L'Osservatorio di Lampedusa (codice IAGA: LMP), istituito nel 2005 è uno dei tre osservatori geomagnetici in Italia, gestito e mantenuto dall'Istituto Nazionale di Geofisica e Vulcanologia (INGV). L'Osservatorio si trova in una riserva naturale protettaa Lampedusa (Sicilia), una piccola isola all'estremo sud d'Italia, situata al centro del  Mar Mediterraneo.
DOI: 10.15468/dl.2y3cmp
title: Occurrence Download

description: A dataset containing 139192 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Living Specimen, Occurrence evidence, Observation, Human Observation, Material sample, Specimen)",
 "Country is Russian Federation",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "StateProvince is Moscow",
 "TaxonKey is Chordata"
 ]
}

 The dataset includes 139192 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000628-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.21227/qd5j-5m17
title: IARPA SMART Public Dataset 

description: The IARPA Space-Based Machine Automated Recognition Technique (SMART) program was one of the first large-scale research program to advance the state of the art for automatically detecting, characterizing, and monitoring large-scale anthropogenic activity in global scale, multi-source, heterogeneous satellite imagery. The program leveraged and advanced the latest techniques in artificial intelligence (AI), computer vision (CV), and machine learning (ML) applied to geospatial applications. The Johns Hopkins Applied Physics Lab (JHU/APL) led the development of a large, global-scale dataset containing spatio-temporal annotations of large scale heavy construction activity for the purposes of algorithm development and evaluation for automated broad area search and classification of anthropogenic activities from satellite imagery. This dataset contains these spatio-temporal annotations. A semi-custom implementation of performance evaluation metrics tailored specifically to the data formats and application introduced by this dataset is also available on our Github page.
DOI: 10.15468/dl.t685nc
title: Occurrence Download

description: A dataset containing 85871 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Occurrence evidence, Specimen, Human Observation, Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Gentianella campestris (L.) Börner"
 ]
}

 The dataset includes 85871 records from 431 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000643-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.axmsrd
title: Occurrence Download

description: A dataset containing 464061 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Prunus avium (L.) L.)",
 "BasisOfRecord is one of (Machine Observation, Human Observation, Observation, Literature Occurrence)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 464061 records from 2325 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001764-250227182430271/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15156/bio/sh1070731.10fu
title: SH1070731.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1070742.10fu
title: SH1070742.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1070744.10fu
title: SH1070744.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1070745.10fu
title: SH1070745.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.