cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.7845989
title: 16-year WRF simulation for the Southern Alps of New Zealand (monthly output)

description: The climatological dataset was produced using the Weather and Research Forecasting (WRF) model configured with two nested domains at 10 km (D1) and 2 km (D2) horizontal grid spacing. It covers the bulk of the South Island of New Zealand and is centered over Brewster Glacier in the Southern Alps. The model was forced every three hours by ERA5 reanalysis data at its outer lateral boundaries. The dataset covers the period of 1 January 2005 to 31 December 2020, providing daily output in the outer domain (D1) and 3-hourly output in the innermost domain (D2). The dataset was generated as part of a DFG-funded project aimed at investigating the atmospheric processes causing impacts of sea surface temperature changes around New Zealand on variations of glacier surface climate and mass balance in the Southern Alps (using Brewster Glacier as a benchmark glacier). The data provided here are a selection of monthly averages from the finest WRF domain (D2; 2-km grid spacing). They are distributed among three different file types containing 4-dimensional, 3-dimensional and invariant output variables, respectively. For the 4-dimensional variables, the data were cropped to below ~200 hPa. In addition, perturbation and base-state atmospheric pressure (WRF variables P and PB) and geopotential (PH and PHB) were combined to produce full model fields, and perturbation potential temperature (T) was converted to total potential temperature.
description: The modeling and related research was supported by the German Research Foundation (DFG) grant no. 453305163. The authors gratefully acknowledge the scientific support and HPC resources provided by the Erlangen National High Performance Computing Center (NHR@FAU) of the Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU) under the NHR project b128dc / ATMOS ("Numerical atmospheric modeling for the attribution of climate change and for model improvement"). NHR funding is provided by federal and Bavarian state authorities. NHR@FAU hardware is partially funded by the German Research Foundation (DFG) – 440719683.
DOI: 10.57745/wloumr
title: WHITEREF_2020-09-10_075.hdr
DOI: 10.5281/zenodo.7845988
title: 16-year WRF simulation for the Southern Alps of New Zealand (monthly output)

description: The climatological dataset was produced using the Weather and Research Forecasting (WRF) model configured with two nested domains at 10 km (D1) and 2 km (D2) horizontal grid spacing. It covers the bulk of the South Island of New Zealand and is centered over Brewster Glacier in the Southern Alps. The model was forced every three hours by ERA5 reanalysis data at its outer lateral boundaries. The dataset covers the period of 1 January 2005 to 31 December 2020, providing daily output in the outer domain (D1) and 3-hourly output in the innermost domain (D2). The dataset was generated as part of a DFG-funded project aimed at investigating the atmospheric processes causing impacts of sea surface temperature changes around New Zealand on variations of glacier surface climate and mass balance in the Southern Alps (using Brewster Glacier as a benchmark glacier). The data provided here are a selection of monthly averages from the finest WRF domain (D2; 2-km grid spacing). They are distributed among three different file types containing 4-dimensional, 3-dimensional and invariant output variables, respectively. For the 4-dimensional variables, the data were cropped to below ~200 hPa. In addition, perturbation and base-state atmospheric pressure (WRF variables P and PB) and geopotential (PH and PHB) were combined to produce full model fields, and perturbation potential temperature (T) was converted to total potential temperature.
description: The modeling and related research was supported by the German Research Foundation (DFG) grant no. 453305163. The authors gratefully acknowledge the scientific support and HPC resources provided by the Erlangen National High Performance Computing Center (NHR@FAU) of the Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU) under the NHR project b128dc / ATMOS ("Numerical atmospheric modeling for the attribution of climate change and for model improvement"). NHR funding is provided by federal and Bavarian state authorities. NHR@FAU hardware is partially funded by the German Research Foundation (DFG) – 440719683.
DOI: 10.57745/ltz7uy
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DOI: 10.57745/hmvpen
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DOI: 10.57745/kbngq7
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DOI: 10.57745/aujhxj
title: RGBVIEWFINDER_2020-09-10_075.png
DOI: 10.57745/f69xox
title: 2020-09-10_076.png
DOI: 10.57745/pzqnsb
title: imreflectance.pdf
DOI: 10.57745/mjl5v8
title: imzoom.pdf
DOI: 10.57745/xpx6uc
title: pc1.pdf
DOI: 10.57745/voryfa
title: pc2.pdf
DOI: 10.57745/52hhl0
title: pc3.pdf
DOI: 10.57745/g8sjp2
title: pc4.pdf
DOI: 10.57745/uivlqs
title: sc12.pdf
DOI: 10.57745/ru3fva
title: sc34.pdf
DOI: 10.57745/qglwp2
title: spectra.pdf
DOI: 10.57745/eytkcx
title: readHSI.py
DOI: 10.57745/rp1oez
title: 2020-09-10_076.hdr
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DOI: 10.57745/k9ep71
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DOI: 10.57745/gfcrdw
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DOI: 10.57745/r1ftqa
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DOI: 10.57745/bywiiz
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DOI: 10.57745/efx9fa
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DOI: 10.57745/5cggfq
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DOI: 10.57745/ygk6f7
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DOI: 10.57745/kcz8po
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DOI: 10.57745/h90bud
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DOI: 10.57745/9v0hnt
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DOI: 10.57745/gvfvww
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DOI: 10.57745/xsmsrl
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DOI: 10.57745/gdv4qh
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DOI: 10.57745/qoonbt
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DOI: 10.57745/tyak9n
title: RGBSCENE_2020-09-10_080.png
DOI: 10.57745/eil2cg
title: RGBVIEWFINDER_2020-09-10_080.png
DOI: 10.57745/wwvlfr
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DOI: 10.57745/2clwcx
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DOI: 10.57745/iuzrvq
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DOI: 10.57745/vwjcb9
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DOI: 10.57745/upa1vm
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DOI: 10.57745/t1allj
title: 2020-09-10_081.xml
DOI: 10.57745/i1xmkx
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DOI: 10.57745/zmkxrj
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DOI: 10.57745/epk2tv
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DOI: 10.57745/eamj1n
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DOI: 10.57745/9n0ejc
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DOI: 10.57745/juluhu
title: RGBVIEWFINDER_2020-09-10_081.png
DOI: 10.57745/ncnsdr
title: 2020-09-10_082.png
DOI: 10.57745/udjulw
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DOI: 10.57745/phglu2
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DOI: 10.57745/iwp2so
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DOI: 10.57745/vw135z
title: DARKREF_2020-09-10_082.raw
DOI: 10.57745/fayoxb
title: WHITEREF_2020-09-10_082.hdr
DOI: 10.57745/j9hfgl
title: WHITEREF_2020-09-10_082.raw
DOI: 10.5281/zenodo.4252462
title: 5-day WRF case study for the Southern Alps of New Zealand (hourly output)

description: Full output file from the Weather and Research Forecasting (WRF) model for a 2 km resolution domain centered over the Southern Alps of New Zealand. Modelling period is 02-Feb-2011 00:00:00 UTC to 07-Feb-2011 00:00:00 UTC (5 days) with hourly output frequency. The data-set was generated in the framework of a case study to investigate the mesoscale influence of an atmospheric river on the mass balance of Brewster Glacier (Southern Alps) during a summertime melt event. For the related publication refer to https://doi.org/10.1029/2020JD034217.
description: The modelling and related research was supported by the Alexander von Humboldt Foundation and the German Research Foundation (DFG) grant MO 2869/4-1. The authors gratefully acknowledge the compute resources and support provided by the Erlangen Regional Computing Center (RRZE) whilst running the WRF model.
DOI: 10.57745/6jdmh1
title: 2020-09-10_082.xml
DOI: 10.5281/zenodo.4252461
title: 5-day WRF case study for the Southern Alps of New Zealand (hourly output)

description: Full output file from the Weather and Research Forecasting (WRF) model for a 2 km resolution domain centered over the Southern Alps of New Zealand. Modelling period is 02-Feb-2011 00:00:00 UTC to 07-Feb-2011 00:00:00 UTC (5 days) with hourly output frequency. The data-set was generated in the framework of a case study to investigate the mesoscale influence of an atmospheric river on the mass balance of Brewster Glacier (Southern Alps) during a summertime melt event. For the related publication refer to https://doi.org/10.1029/2020JD034217.
description: The modelling and related research was supported by the Alexander von Humboldt Foundation and the German Research Foundation (DFG) grant MO 2869/4-1. The authors gratefully acknowledge the compute resources and support provided by the Erlangen Regional Computing Center (RRZE) whilst running the WRF model.
DOI: 10.57745/qgazbz
title: REFLECTANCE_2020-09-10_082.dat
DOI: 10.57745/hozjjz
title: REFLECTANCE_2020-09-10_082.hdr
DOI: 10.57745/w4tmjk
title: REFLECTANCE_2020-09-10_082.png
DOI: 10.57745/firym8
title: RGBBACKGROUND_2020-09-10_082.png
DOI: 10.57745/djyato
title: RGBSCENE_2020-09-10_082.png
DOI: 10.5281/zenodo.8032136
title: MiDe22: An Annotated Multi-Event Tweet Dataset for Misinformation Detection

description: The dataset is composed of 10,348 tweets: 5,284 for English and 5,064 for Turkish. Tweets in the dataset are human-annotated in terms of "false", "true", or "other". The dataset covers multiple topics: the Russia-Ukraine war, COVID-19 pandemic, Refugees, and additional miscellaneous events. The details can be found at https://github.com/avaapm/mide22
DOI: 10.57745/67umm5
title: RGBVIEWFINDER_2020-09-10_082.png
DOI: 10.5281/zenodo.8032135
title: MiDe22: An Annotated Multi-Event Tweet Dataset for Misinformation Detection

description: The dataset is composed of 10,348 tweets: 5,284 for English and 5,064 for Turkish. Tweets in the dataset are human-annotated in terms of "false", "true", or "other". The dataset covers multiple topics: the Russia-Ukraine war, COVID-19 pandemic, Refugees, and additional miscellaneous events. The details can be found at https://github.com/avaapm/mide22
DOI: 10.57745/woq6jq
title: 2020-09-10_083.png
DOI: 10.57745/scds1t
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DOI: 10.57745/3m4haw
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DOI: 10.57745/lwrjwy
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DOI: 10.57745/sqbvm3
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DOI: 10.57745/1xk2sc
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DOI: 10.57745/assorl
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DOI: 10.57745/nzcjur
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DOI: 10.57745/nztfyj
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DOI: 10.57745/bk7ous
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DOI: 10.57745/e46rki
title: RGBBACKGROUND_2020-09-10_083.png
DOI: 10.5281/zenodo.7991565
title: raw data for the article "Copper(I)-BOX Catalyzed Asymmetric 3-Component Reaction for the Synthesis of Trifluoromethylated Propargylic Ethers and Anilines"

description: Raw NMR, HPLC, IR and MS data for the article "Copper(I)-BOX Catalyzed Asymmetric 3-Component Reaction for the Synthesis of Trifluoromethylated Propargylic Ethers and Anilines" published in Angewandte Chemie, DOI: https://doi.org/10.1002/anie.202305776 The number of the folders either correspond to compounds numbers in the article or the name of the folder is self-describing. All details concerning conditions and equipment for measurements can be found in the supporting information of the article.
DOI: 10.5281/zenodo.7991566
title: raw data for the article "Copper(I)-BOX Catalyzed Asymmetric 3-Component Reaction for the Synthesis of Trifluoromethylated Propargylic Ethers and Anilines"

description: Raw NMR, HPLC, IR and MS data for the article "Copper(I)-BOX Catalyzed Asymmetric 3-Component Reaction for the Synthesis of Trifluoromethylated Propargylic Ethers and Anilines" published in Angewandte Chemie, DOI: https://doi.org/10.1002/anie.202305776 The number of the folders either correspond to compounds numbers in the article or the name of the folder is self-describing. All details concerning conditions and equipment for measurements can be found in the supporting information of the article.
DOI: 10.57745/daljru
title: RGBSCENE_2020-09-10_083.png
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DOI: 10.57745/zqghiq
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DOI: 10.57745/7cav1s
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DOI: 10.5281/zenodo.8029087
title: Dataset for Precursor Nuclearity and Ligand Effects in Atomically-Dispersed Heterogeneous Iron Catalysts for Alkyne Semi-Hydrogenation

description: This dataset complements the publication entitled "Precursor Nuclearity and Ligand Effects in Atomically-Dispersed Heterogeneous Iron Catalysts for Alkyne Semi-Hydrogenation" by Dario Faust Akl, Andrea Ruiz-Ferrando, Dr. Edvin Fako, Dr. Roland Hauert, Dr. Olga Safonova, Dr. Sharon Mitchell, Prof. Núria López, Prof. Javier Pérez-Ramírez. Please refer to the Readme.txt file for information about the file structure and content.<br>
DOI: 10.57745/9y0zx1
title: RGBVIEWFINDER_2020-09-10_087.png
DOI: 10.5281/zenodo.8029086
title: Dataset for Precursor Nuclearity and Ligand Effects in Atomically-Dispersed Heterogeneous Iron Catalysts for Alkyne Semi-Hydrogenation

description: This dataset complements the publication entitled "Precursor Nuclearity and Ligand Effects in Atomically-Dispersed Heterogeneous Iron Catalysts for Alkyne Semi-Hydrogenation" by Dario Faust Akl, Andrea Ruiz-Ferrando, Dr. Edvin Fako, Dr. Roland Hauert, Dr. Olga Safonova, Dr. Sharon Mitchell, Prof. Núria López, Prof. Javier Pérez-Ramírez. Please refer to the Readme.txt file for information about the file structure and content.<br>
DOI: 10.57745/wmz4mt
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DOI: 10.57745/dt1jf2
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