cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.10593078
title: BSRN solar radiation data for the testing, validation and benchmarking of solar irradiance components separation models

description: The dataset is an excerpt of the validation dataset used in:



Ruiz-Arias JA, Gueymard CA. Review and performance benchmarking of 1-min solar irradiance components separation methods: The critical role of dynamically-constrained sky conditions. Submitted for publication to Renewable and Sustainable Energy Reviews.


and it is ready to use in the Python package splitting_models developed during that research. See the documentation in the Python package for usage details. Below, there is a detailed description of the dataset.

The data is in a single parquet file that contains 1-min time series of solar geometry, clear-sky solar irradiance simulations, solar irradiance observations and CAELUS sky types for 5 BSRN sites, one per primary Köppen-Geiger climate, namely: Minamitorishima (mnm), JP, for equatorial climate; Alice Springs (asp), AU, for dry climate; Carpentras (car), FR, for temperate climate; Bondville (bon), US, for continental climate; and Sonnblick (son), AT, for cold/polar/snow climate. It includes one calendar year per site. The BSRN data is publicly available. See download instructions in https://bsrn.awi.de/data.

The specific variables included in the dataset are: 



climate: primary Köppen-Geiger climate. Values are: A (equatorial), B (dry), C (temperate), D (continental) and E (polar/snow).

longitude: longitude, in degrees east.

latitude: latitude, in degrees north.

sza: solar zenith angle, in degrees.

eth: extraterrestrial solar irradiance (i.e., top of atmosphere solar irradiance), in W/m2.

ghics: clear-sky global solar irradiance, in W/m2. It is evaluated with the SPARTA clear-sky model and MERRA-2 clear-sky atmosphere.

difcs: clear-sky diffuse solar irradiance, in W/m2.It is evaluated with the SPARTA clear-sky model and MERRA-2 clear-sky atmosphere.

ghicda: clean-and-dry clear-sky global solar irradiance, in W/m2. It is evaluated with the SPARTA clear-sky model and MERRA-2 clear-sky atmosphere, prescribing zero aerosols and zero precipitable water.

ghi: observed global horizontal irradiance, in W/m2.

dif: observed diffuse irradiance, in W/m2.

sky_type: CAELUS sky type. Values are: 1 (unknown), 2 (overcast), 3 (thick clouds), 4 (scattered clouds), 5 (thin clouds), 6 (cloudless) and 7 (cloud enhancement).


The dataset can be easily loaded in a Python Pandas DataFrame as follows:



import pandas as pd

data = pd.read_parquet(<filename>)


The dataframe has a multi-index with two levels: times_utc and site. The former are the UTC timestamps at the center of each 1-min interval. The latter is each site's label.
DOI: 10.5281/zenodo.10593079
title: BSRN solar radiation data for the testing, validation and benchmarking of solar irradiance components separation models

description: The dataset is an excerpt of the validation dataset used in:



Ruiz-Arias JA, Gueymard CA. Review and performance benchmarking of 1-min solar irradiance components separation methods: The critical role of dynamically-constrained sky conditions. Submitted for publication to Renewable and Sustainable Energy Reviews.


and it is ready to use in the Python package splitting_models developed during that research. See the documentation in the Python package for usage details. Below, there is a detailed description of the dataset.

The data is in a single parquet file that contains 1-min time series of solar geometry, clear-sky solar irradiance simulations, solar irradiance observations and CAELUS sky types for 5 BSRN sites, one per primary Köppen-Geiger climate, namely: Minamitorishima (mnm), JP, for equatorial climate; Alice Springs (asp), AU, for dry climate; Carpentras (car), FR, for temperate climate; Bondville (bon), US, for continental climate; and Sonnblick (son), AT, for cold/polar/snow climate. It includes one calendar year per site. The BSRN data is publicly available. See download instructions in https://bsrn.awi.de/data.

The specific variables included in the dataset are: 



climate: primary Köppen-Geiger climate. Values are: A (equatorial), B (dry), C (temperate), D (continental) and E (polar/snow).

longitude: longitude, in degrees east.

latitude: latitude, in degrees north.

sza: solar zenith angle, in degrees.

eth: extraterrestrial solar irradiance (i.e., top of atmosphere solar irradiance), in W/m2.

ghics: clear-sky global solar irradiance, in W/m2. It is evaluated with the SPARTA clear-sky model and MERRA-2 clear-sky atmosphere.

difcs: clear-sky diffuse solar irradiance, in W/m2.It is evaluated with the SPARTA clear-sky model and MERRA-2 clear-sky atmosphere.

ghicda: clean-and-dry clear-sky global solar irradiance, in W/m2. It is evaluated with the SPARTA clear-sky model and MERRA-2 clear-sky atmosphere, prescribing zero aerosols and zero precipitable water.

ghi: observed global horizontal irradiance, in W/m2.

dif: observed diffuse irradiance, in W/m2.

sky_type: CAELUS sky type. Values are: 1 (unknown), 2 (overcast), 3 (thick clouds), 4 (scattered clouds), 5 (thin clouds), 6 (cloudless) and 7 (cloud enhancement).


The dataset can be easily loaded in a Python Pandas DataFrame as follows:



import pandas as pd

data = pd.read_parquet(<filename>)


The dataframe has a multi-index with two levels: times_utc and site. The former are the UTC timestamps at the center of each 1-min interval. The latter is each site's label.
DOI: 10.48577/jpl.sgpoyh
title: Lunar Crater Radio Telescope (LCRT) on the Far-Side of the Moon

description: No abstract available.
DOI: 10.48577/jpl.t5paad
title: Robotic Space Exploration

description: No abstract available.
DOI: 10.48577/jpl.mipuhn
title: Towards a Model-Based Product Development Process from Early Concepts to Engineering Implementation

description: No abstract available.
DOI: 10.48577/jpl.gseutw
title: Lunar Flashlight - Mission Overview

description: No abstract available.
DOI: 10.48577/jpl.gsfpud
title: Exploring the Dark Universe With Euclid

description: No abstract available.
DOI: 10.48577/jpl.kkdneh
title: Extreme heat in Cities

description: No abstract available.
DOI: 10.5281/zenodo.10645966
title: Psychological Capital Research in HEIs: Bibliometric Analysis of Current and Future Trends

description: Web of Science dataset for article titled "Psychological Capital Research in HEIs: Bibliometric Analysis of Current and Future Trends".
DOI: 10.5281/zenodo.10645967
title: Psychological Capital Research in HEIs: Bibliometric Analysis of Current and Future Trends

description: Web of Science dataset for article titled "Psychological Capital Research in HEIs: Bibliometric Analysis of Current and Future Trends".
DOI: 10.3886/e187121v1-146022
title: Data and Code for: Hiring Frictions and the Promise of Online Job Portals: Evidence from India

description: These files contain data and code for the article: "Hiring Frictions and the Promise of Online Job Portals: Evidence from India."<br><br>Article Abstract: Despite the growing prominence of online job portals, firms remain reluctant to hire outside traditional recruitment networks. We find that experimentally providing firms with a combination of advertising and the ability to verify an applicant's identity increases portal-based hiring by 68% and the likelihood of filling a vacancy by 11%. Advertising attracts more skilled applicants, while verification services allow employers to screen unfamiliar applicants. Portal-based hires are retained beyond the standard assessment period, suggesting they are well-suited to the vacancies. Firms assigned only advertising also attract more skilled applicants, but neither this intervention nor providing verification services alone increases hiring.<br><br><br>
description: Experimental sample of firms recruited from an Indian job portal .
DOI: 10.34740/kaggle/ds/4427465
title: Empowering Urdu NLP: Text Dataset
DOI: 10.6084/m9.figshare.25202222
title: otu.original.data

description: <b>Spatiotemporal</b><b> distribution patterns</b><b> </b><b>and assembly mechanisms of eukaryotic plankton communities in Liujiaxia Reservoir at the Northeastern Edge of the </b><b>Tibetan</b><b> Plateau</b>
DOI: 10.6084/m9.figshare.25202222.v1
title: otu.original.data

description: <b>Spatiotemporal</b><b> distribution patterns</b><b> </b><b>and assembly mechanisms of eukaryotic plankton communities in Liujiaxia Reservoir at the Northeastern Edge of the </b><b>Tibetan</b><b> Plateau</b>
DOI: 10.5517/ccdc.csd.cc2hjpvl
title: CCDC 2309960: Experimental Crystal Structure Determination

description: Related Article: Martin S. Luff, Christoph Kerpen, Jan A. P. Sprenger, Maik Finze, Udo Radius|2024|Inorg.Chem.|63|2204|doi:10.1021/acs.inorgchem.3c04164
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2hjpwm
title: CCDC 2309961: Experimental Crystal Structure Determination

description: Related Article: Martin S. Luff, Christoph Kerpen, Jan A. P. Sprenger, Maik Finze, Udo Radius|2024|Inorg.Chem.|63|2204|doi:10.1021/acs.inorgchem.3c04164
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2hjpxn
title: CCDC 2309962: Experimental Crystal Structure Determination

description: Related Article: Martin S. Luff, Christoph Kerpen, Jan A. P. Sprenger, Maik Finze, Udo Radius|2024|Inorg.Chem.|63|2204|doi:10.1021/acs.inorgchem.3c04164
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2hjpzq
title: CCDC 2309964: Experimental Crystal Structure Determination

description: Related Article: Martin S. Luff, Christoph Kerpen, Jan A. P. Sprenger, Maik Finze, Udo Radius|2024|Inorg.Chem.|63|2204|doi:10.1021/acs.inorgchem.3c04164
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2hjq0s
title: CCDC 2309965: Experimental Crystal Structure Determination

description: Related Article: Martin S. Luff, Christoph Kerpen, Jan A. P. Sprenger, Maik Finze, Udo Radius|2024|Inorg.Chem.|63|2204|doi:10.1021/acs.inorgchem.3c04164
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2hjq1t
title: CCDC 2309966: Experimental Crystal Structure Determination

description: Related Article: Martin S. Luff, Christoph Kerpen, Jan A. P. Sprenger, Maik Finze, Udo Radius|2024|Inorg.Chem.|63|2204|doi:10.1021/acs.inorgchem.3c04164
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2hjq2v
title: CCDC 2309967: Experimental Crystal Structure Determination

description: Related Article: Martin S. Luff, Christoph Kerpen, Jan A. P. Sprenger, Maik Finze, Udo Radius|2024|Inorg.Chem.|63|2204|doi:10.1021/acs.inorgchem.3c04164
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2hpyjp
title: CCDC 2315003: Experimental Crystal Structure Determination

description: Related Article: Zhixin Xie, Wei Liu, Yiwei Liu, Xinyi Song, Heng Zheng, Xiang Su, Carl Redshaw, Xing Feng|2024|J.Org.Chem.|89|1681|doi:10.1021/acs.joc.3c02372
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5281/zenodo.10646029
title: MichalGath/Strategic Visibility and Human Wayfinding in Multilevel Buildings: Extended Dataset

description: We introduce an expanded dataset derived from a previous study [1,2], aimed at investigating various hypotheses regarding the impact of visibility and background expectation on human wayfinding behavior in multilevel buildings. This enhanced dataset comprises 890 records (rows) and 53 variables (columns). This derivative dataset incorporates newly derived variables resulting from advanced post-processing analyses. The research employing this dataset is detailed in the publication titled "The role of strategic visibility in shaping wayfinding behavior in multilevel buildings", accessible via DOI 10.1038/s41598-024-53420-6 [3].

[1] Aguilar, L., & Gath, M. (2021). MichalGath/Wayfinding Behavior in MultiLevel Buildings Dataset (v1.0.0) [Data set]. Zenodo. https://doi.org/10.5281/zenodo.5708072

[2] Gath-Morad, M., Thrash, T., Schicker, J., Hölscher, C., Helbing, D., & Aguilar Melgar, L. E. (2021). Visibility matters during wayfinding in the vertical. Scientific reports, 11(1), 18980.

[3] Gath-Morad, M., Grübel, J., Steemers, K., Sailer, K., Ben-Alon, L., Hölscher, C., & Aguilar, L. (2024). The role of strategic visibility in shaping wayfinding behavior in multilevel buildings. Scientific Reports. https://doi.org/10.1038/s41598-024-53420-6
DOI: 10.5281/zenodo.10646028
title: MichalGath/Strategic Visibility and Human Wayfinding in Multilevel Buildings: Extended Dataset

description: We introduce an expanded dataset derived from a previous study [1,2], aimed at investigating various hypotheses regarding the impact of visibility and background expectation on human wayfinding behavior in multilevel buildings. This enhanced dataset comprises 890 records (rows) and 53 variables (columns). This derivative dataset incorporates newly derived variables resulting from advanced post-processing analyses. The research employing this dataset is detailed in the publication titled "The role of strategic visibility in shaping wayfinding behavior in multilevel buildings", accessible via DOI 10.1038/s41598-024-53420-6 [3].

[1] Aguilar, L., & Gath, M. (2021). MichalGath/Wayfinding Behavior in MultiLevel Buildings Dataset (v1.0.0) [Data set]. Zenodo. https://doi.org/10.5281/zenodo.5708072

[2] Gath-Morad, M., Thrash, T., Schicker, J., Hölscher, C., Helbing, D., & Aguilar Melgar, L. E. (2021). Visibility matters during wayfinding in the vertical. Scientific reports, 11(1), 18980.

[3] Gath-Morad, M., Grübel, J., Steemers, K., Sailer, K., Ben-Alon, L., Hölscher, C., & Aguilar, L. (2024). The role of strategic visibility in shaping wayfinding behavior in multilevel buildings. Scientific Reports. https://doi.org/10.1038/s41598-024-53420-6
DOI: 10.5281/zenodo.10037438
title: BigVSAN: Enhancing GAN-based Neural Vocoders with Slicing Adversarial Network

description: This repository contains a pre-trained checkpoint for BigVSAN proposed in the paper BigVSAN: Enhancing GAN-based Neural Vocoders with Slicing Adversarial Network by Sony.
More information about BigVSAN including our code is available at https://github.com/sony/bigvsan.
DOI: 10.5281/zenodo.10037439
title: BigVSAN: Enhancing GAN-based Neural Vocoders with Slicing Adversarial Network

description: This repository contains a pre-trained checkpoint for BigVSAN proposed in the paper BigVSAN: Enhancing GAN-based Neural Vocoders with Slicing Adversarial Network by Sony.
More information about BigVSAN including our code is available at https://github.com/sony/bigvsan.
DOI: 10.5519/qd.j4wy4gxi
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (155 records)
DOI: 10.6084/m9.figshare.19107188
title: Data from: Wet and dry extremes reduce arthropod biomass independently of leaf phenology in the wet tropics

description: Biomass and abundance of foliage arthropods and leaf phenology for a network of eight cloud forest landscapes across a 1700-3100 m elevation and 1000-2500 mm rainfall gradient in the Andes of northern Perú. Seven landscapes are located in the department of Amazonas, with one in San Martin. Arthropod data were collected using foliage branch-beating on 116 visits at different times of year across the network, 2015-2019. Desiccation resistance experiments for 477 arthropods, 2017-2019. Around 50k arthropods were collected in alcohol for future use. In situ leaf phenology of understory shrubs and canopy trees were scored in the field and documented using repeat canopy photographs for future use. Vegetation greenness (EVI) was calculated from the MODIS Terra satellite within a 5-km radius filtered for &gt;50% forest cover within a 300-m elevation band. In situ weather data (temperature, precipitation, vapor pressure deficit, cloud cover) summarized and modeled from Newell et al. (2022). Weather data collection with Andean communities is ongoing. If you are interested in using the data please contact the authors. It is important that analysts understand field data and that all contributors are recognized appropriately in open science. We would be happy to speak with you.<br>
DOI: 10.6084/m9.figshare.19107188.v1
title: Wet and dry extremes reduce arthropod biomass independently of leaf phenology in the wet tropics

description: Biomass and abundance of foliage arthropods and leaf phenology across an elevation and rainfall gradient in the Peruvian Andes. Arthropod data was collected using foliage branch-beating across eight landscapes (116 visits) from 1700-3100 m, 2015-2019. Desiccation resistance experiments for 477 arthropods, 2017-2019. In situ leaf phenology of understory shrubs and canopy trees was scored in the field and documented using repeat canopy photographs. The enhanced vegetation index (EVI) from the MODIS Terra satellite was calculated  within a 5-km radius filtered for &gt;50% forest cover within a 300-m elevation band. In situ weather data (precipitation, vapor pressure deficit, temperature, cloud cover) summarized from https://doi.org/10.6084/m9.figshare.18543167 and modeled according to https://rmets.onlinelibrary.wiley.com/doi/full/10.1002/joc.7567.
<br>
DOI: 10.5281/zenodo.10646063
title: MPIData: EquilibriumModelWithAnisotropy

description: This data repository contains magnetic particle imaging data. The files are stored in the MDF file format and the folder structure is organized as an MDF store. The data is used in this code example: https://github.com/IBIResearch/EquilibriumModelWithAnisotropy
DOI: 10.5281/zenodo.10646064
title: MPIData: EquilibriumModelWithAnisotropy

description: This data repository contains magnetic particle imaging data. The files are stored in the MDF file format and the folder structure is organized as an MDF store. The data is used in this code example: https://github.com/IBIResearch/EquilibriumModelWithAnisotropy
DOI: 10.6084/m9.figshare.18543167
title: Data from: Spatiotemporal climate variability in the Andes of northern Peru: Evaluation of gridded datasets to describe cloud forest microclimate and local rainfall

description: Daily weather data for a network of eight cloud forest landscapes across a 1700-3100 m elevation and 1000-2500 mm rainfall gradient in northern Perú, 2015-2019. Seven landscapes are located in the department of Amazonas, with one in San Martin. Data summarized on a daily time-step by landscape for minimum and maximum temperature, relative humidity, and vapor pressure deficit. In situ weather data loggers located inside forest with nearby tipping-bucket rain gauges at each landscape. Weather data collection with Andean communities is ongoing. If you are interested in using the data please contact the authors. It is important that analysts understand field data and that all contributors are recognized appropriately in open science. We would be happy to speak with you.<br>
DOI: 10.6084/m9.figshare.18543167.v2
title: Data for: Spatiotemporal climate variability in the Andes of northern Peru: Evaluation of gridded datasets to describe cloud forest microclimate and local rainfall

description: Daily weather data for a network of eight cloud forest landscapes across a 1700-3100 m elevation gradient in northern Perú, 2015-2019. Seven landscapes are located in the department of Amazonas, with one in San Martin. Data summarized on a daily time-step by landscape for minimum and maximum temperature, relative humidity, and vapor pressure deficit. Weather data loggers located inside forest and precipitation for each landscape from nearby tipping-bucket rain gauges. If you are interested in using the data please contact the authors. Data collection with Andean communities is ongoing, and it is important that all contributors are recognized appropriately in open science.<br>
DOI: 10.6084/m9.figshare.25202252.v1
title: Untitled Item

description: Code snippet language classification
DOI: 10.5281/zenodo.10646050
title: In-silico Identification of Coumarin-Based Natural Compounds as Potential VEGFR-2 Inhibitors

description: The files include ligand-protein complex files and md trajectory files of lead hits from COCONUT database.
DOI: 10.5281/zenodo.10646049
title: In-silico Identification of Coumarin-Based Natural Compounds as Potential VEGFR-2 Inhibitors

description: The files include ligand-protein complex files and md trajectory files of lead hits from COCONUT database.
DOI: 10.5281/zenodo.10646131
title: Verbs of Reaction in Czech and Topic-focus Articulation_Analysis of Corpus Samples

description: Analysis of sets of 200 random corpus occurrences for 22 Czech verbs of reaction.

 

Used corpus: SYN version 12 of the Czech National Corpus.
DOI: 10.5281/zenodo.10646132
title: Verbs of Reaction in Czech and Topic-focus Articulation_Analysis of Corpus Samples

description: Analysis of sets of 200 random corpus occurrences for 22 Czech verbs of reaction.

 

Used corpus: SYN version 12 of the Czech National Corpus.