cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.10034144
title: ERA5-Land selected indicators daily aggregates for the Latin America region, 2004

description: This deposit contains NetCDF files with daily aggregates from Copernicus Era5-Land eight selected indicators, covering the Latin America region, for 2004.
Each file represents one indicator aggregation for one month of the year. Inside each NetCDF file, the layers contain the daily aggregates.
For 2m dewpoint pressure, 10m u component of wind, 10m v component of wind, surface pressure, the mean function was used for aggregation. For total precipitation, the sum function was used for aggregation. For 2m temperature, the functions maximum, mean and minimum were used for aggregation.
Those files were created using the KrigR package.
DOI: 10.5281/zenodo.5645777
title: Data distribution of Constraints on the cosmic expansion history from the GWTC-3

description: This is the data distribution associated with the publication "Constraints on the cosmic expansion history from the GWTC--3". Please, refer to the README_icarogw.md and README_gwcosmo.md files for a description of the data distribution files.
description: LIGO Laboratory and Advanced LIGO are funded by the United States National Science Foundation (NSF) as well as the Science and Technology Facilities Council (STFC) of the United Kingdom, the Max-Planck-Society (MPS), and the State of Niedersachsen/Germany for support of the construction of Advanced LIGO and construction and operation of the GEO600 detector. Additional support for Advanced LIGO was provided by the Australian Research Council. Virgo is funded, through the European Gravitational Observatory (EGO), by the French Centre National de Recherche Scientifique (CNRS), the Italian Istituto Nazionale di Fisica Nucleare (INFN) and the Dutch Nikhef, with contributions by institutions from Belgium, Germany, Greece, Hungary, Ireland, Japan, Monaco, Poland, Portugal, Spain.
DOI: 10.5281/zenodo.10022933
title: RHESSys model and outputs for Baisman Run

description: Files for the Baisman Run, Baltimore RHESSys model, which enables simulations of septic processes at household level and fertilization processes to improve understanding of nitrogen dynamics within urban watersheds. Irrigation is also modeled based on daily water stress level on lawns. 
Folder "worldfiles" and "flowtables" contain files required to run the model. To enable irrigation, septic and fertilization, add flags "-grassIrrigation_flag", "-septicProcess_flag", "-fertilizer_flag" into RHESSys command line, respectively. Details of RHESSys command lines can be found here.
More details about this version of RHESSys model can be found here.
DOI: 10.5281/zenodo.10027770
title: RHESSys model and outputs for Baisman Run

description: Files for the Baisman Run, Baltimore RHESSys model, which enables simulations of septic processes at household level and fertilization processes to improve understanding of nitrogen dynamics within urban watersheds. Irrigation is also modeled based on daily water stress level on lawns. 
Folder "worldfiles" and "flowtables" contain files required to run the model. To enable irrigation, septic and fertilization, add flags "-grassIrrigation_flag", "-septicProcess_flag", "-fertilizer_flag" into RHESSys command line, respectively. Details of RHESSys command lines can be found here.
More details about this version of RHESSys model can be found here.
DOI: 10.5281/zenodo.10034198
title: RHESSys model and outputs for Baisman Run

description: Files for the Baisman Run, Baltimore RHESSys model, which enables simulations of septic processes at household level and fertilization processes to improve understanding of nitrogen dynamics within urban watersheds. Irrigation is also modeled based on daily water stress level on lawns. 
Folder "worldfiles" and "flowtables" contain files required to run the model. To enable irrigation, septic and fertilization, add flags "-grassIrrigation_flag", "-septicProcess_flag", "-fertilizer_flag" into RHESSys command line, respectively. Details of RHESSys command lines can be found here.
More details about this version of RHESSys model can be found here.
DOI: 10.5281/zenodo.10034179
title: ERA5-Land selected indicators daily aggregates for the Latin America region, 2005

description: This deposit contains NetCDF files with daily aggregates from Copernicus Era5-Land eight selected indicators, covering the Latin America region, for 2005.
Each file represents one indicator aggregation for one month of the year. Inside each NetCDF file, the layers contain the daily aggregates.
For 2m dewpoint pressure, 10m u component of wind, 10m v component of wind, surface pressure, the mean function was used for aggregation. For total precipitation, the sum function was used for aggregation. For 2m temperature, the functions maximum, mean and minimum were used for aggregation.
Those files were created using the KrigR package.
DOI: 10.5281/zenodo.10034178
title: ERA5-Land selected indicators daily aggregates for the Latin America region, 2005

description: This deposit contains NetCDF files with daily aggregates from Copernicus Era5-Land eight selected indicators, covering the Latin America region, for 2005.
Each file represents one indicator aggregation for one month of the year. Inside each NetCDF file, the layers contain the daily aggregates.
For 2m dewpoint pressure, 10m u component of wind, 10m v component of wind, surface pressure, the mean function was used for aggregation. For total precipitation, the sum function was used for aggregation. For 2m temperature, the functions maximum, mean and minimum were used for aggregation.
Those files were created using the KrigR package.
DOI: 10.5281/zenodo.10022932
title: RHESSys model and outputs for Baisman Run

description: Files for the Baisman Run, Baltimore RHESSys model, which enables simulations of septic processes at household level and fertilization processes to improve understanding of nitrogen dynamics within urban watersheds. Irrigation is also modeled based on daily water stress level on lawns. 
Folder "worldfiles" and "flowtables" contain files required to run the model. To enable irrigation, septic and fertilization, add flags "-grassIrrigation_flag", "-septicProcess_flag", "-fertilizer_flag" into RHESSys command line, respectively. Details of RHESSys command lines can be found here.
More details about this version of RHESSys model can be found here.
DOI: 10.5281/zenodo.10004017
title: Dispersion Engineered Metasurfaces for Broadband, High-NA, High-Efficiency, Dual-Polarization Analog Image Processing

description: This dataset contains tabulated versions of the experimental data shown in the pictures of the publication "Dispersion Engineered Metasurfaces for Broadband, High-NA, High-Efficiency, Dual-Polarization Analog Image Processing"
Figure 2

The file Fig_2_tpp.xlsx contains the raw data of Fig. 2g. The first sheet contains a 31 x 121 matrix. The second sheet contains a column vector with 121 entries, corresponding to the wavelength axis. The third sheet contains a column vector with 31 entries, corresponding to the angle theta axis.
The file Fig_2_tss.xlsx contains the raw data of Fig. 2i. The first sheet contains a 31 x 121 matrix. The second sheet contains a column vector with 121 entries, corresponding to the wavelength axis. The third sheet contains a column vector with 31 entries, corresponding to the angle theta axis.
The data of the plots in Fig. 2h and 2j can be extracted from the corresponding row/columns in the files Fig_2_tpp.xlsx and  Fig_2_tss.xlsx
Figure 4

The file Fig_4b_MSoff.xlsx contains the raw data of the first panel ('NO Metasurface') of Fig. 4b
The files Fig_4b_MSon_X.xlsx, with X = [1435, 1445, 1450, 1452, 1455:5:1480, 1483, 1485, 1490, 1495], contain the raw data of the other panels of Fig. 4b.
For all panels of Fig. 4b, each pixel corresponds to 0.2864 microns.
The data of the plots in Fig. 4c can be extracted from the corresponding row/columns of the plots in Fig. 4b
Figure 5

The file Fig_5a.xlsx contains the spectra shown in Fig. 5a
The files Fig_5b_MSoff.xlsx, Fig_5b_MSon_xpol.xlsx, Fig_5b_MSon_ypol.xlsx, Fig_5b_MSon_+45.xlsx, Fig_5b_MSon_-45.xlsx, Fig_5b_MSon_Lpol.xlsx, Fig_5b_MSon_Rpol.xlsx contains the raw data of the panels b, c, d, e, f, g, h, respectively
For all 2D images in Fig. 5, each pixel corresponds to 0.2864 microns.
The data of the plots in Fig. 5i can be extracted from the corresponding row/columns of the plots in Figs. 5c-5h
DOI: 10.5281/zenodo.10004018
title: Dispersion Engineered Metasurfaces for Broadband, High-NA, High-Efficiency, Dual-Polarization Analog Image Processing

description: This dataset contains tabulated versions of the experimental data shown in the pictures of the publication "Dispersion Engineered Metasurfaces for Broadband, High-NA, High-Efficiency, Dual-Polarization Analog Image Processing"
Figure 2

The file Fig_2_tpp.xlsx contains the raw data of Fig. 2g. The first sheet contains a 31 x 121 matrix. The second sheet contains a column vector with 121 entries, corresponding to the wavelength axis. The third sheet contains a column vector with 31 entries, corresponding to the angle theta axis.
The file Fig_2_tss.xlsx contains the raw data of Fig. 2i. The first sheet contains a 31 x 121 matrix. The second sheet contains a column vector with 121 entries, corresponding to the wavelength axis. The third sheet contains a column vector with 31 entries, corresponding to the angle theta axis.
The data of the plots in Fig. 2h and 2j can be extracted from the corresponding row/columns in the files Fig_2_tpp.xlsx and  Fig_2_tss.xlsx
Figure 4

The file Fig_4b_MSoff.xlsx contains the raw data of the first panel ('NO Metasurface') of Fig. 4b
The files Fig_4b_MSon_X.xlsx, with X = [1435, 1445, 1450, 1452, 1455:5:1480, 1483, 1485, 1490, 1495], contain the raw data of the other panels of Fig. 4b.
For all panels of Fig. 4b, each pixel corresponds to 0.2864 microns.
The data of the plots in Fig. 4c can be extracted from the corresponding row/columns of the plots in Fig. 4b
Figure 5

The file Fig_5a.xlsx contains the spectra shown in Fig. 5a
The files Fig_5b_MSoff.xlsx, Fig_5b_MSon_xpol.xlsx, Fig_5b_MSon_ypol.xlsx, Fig_5b_MSon_+45.xlsx, Fig_5b_MSon_-45.xlsx, Fig_5b_MSon_Lpol.xlsx, Fig_5b_MSon_Rpol.xlsx contains the raw data of the panels b, c, d, e, f, g, h, respectively
For all 2D images in Fig. 5, each pixel corresponds to 0.2864 microns.
The data of the plots in Fig. 5i can be extracted from the corresponding row/columns of the plots in Figs. 5c-5h
DOI: 10.6084/m9.figshare.22013312.v1
title: Datasets for state of knowledge of aquatic ecosystem and fisheries of Lakes Edward and George, East Africa

description: This record includes six datasets on annual catch by taxa and waterbody, total catch by waterbody, catch composition which is the contribution (%) of taxa to total annual catches by water body, average weight of taxa in catch, number of boats and number of fishers
DOI: 10.5517/ccdc.csd.cc2g2gbc
title: CCDC 2266482: Experimental Crystal Structure Determination

description: Related Article: Martha Sosa-Rivadeneyra, Aranzazu Zavala, Juan Francisco Rivas-Silva, Diana Uriza-Prias, Sylvain Bernès|2023|Cryst.Growth Des.|23|7031|doi:10.1021/acs.cgd.3c00704
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.cc2g2gcd
title: CCDC 2266483: Experimental Crystal Structure Determination

description: Related Article: Martha Sosa-Rivadeneyra, Aranzazu Zavala, Juan Francisco Rivas-Silva, Diana Uriza-Prias, Sylvain Bernès|2023|Cryst.Growth Des.|23|7031|doi:10.1021/acs.cgd.3c00704
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.cc2g2gdf
title: CCDC 2266484: Experimental Crystal Structure Determination

description: Related Article: Martha Sosa-Rivadeneyra, Aranzazu Zavala, Juan Francisco Rivas-Silva, Diana Uriza-Prias, Sylvain Bernès|2023|Cryst.Growth Des.|23|7031|doi:10.1021/acs.cgd.3c00704
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.cc2ftv8d
title: CCDC 2259164: Experimental Crystal Structure Determination

description: Related Article: Ze-Hua Jiang, Han Fang, Hong-Xin Li, Dong-Xu Xue|2023|Cryst.Growth Des.|23|7026|doi:10.1021/acs.cgd.3c00556
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: 10.6084/m9.figshare.22013312
title: Datasets for state of knowledge of aquatic ecosystem and fisheries of Lakes Edward and George, East Africa

description: This record includes seven datasets on annual catch by taxa and waterbody, total catch by waterbody, catch composition which is the contribution (%) of taxa to total annual catches by water body, average weight of taxa in catch, number of boats and number of fishers, and sites sampled in selected studies in literature.
DOI: 10.6084/m9.figshare.22013312.v3
title: Datasets for state of knowledge of aquatic ecosystem and fisheries of Lakes Edward and George, East Africa

description: This record includes seven datasets on annual catch by taxa and waterbody, total catch by waterbody, catch composition which is the contribution (%) of taxa to total annual catches by water body, average weight of taxa in catch, number of boats and number of fishers, and sites sampled in selected studies in literature.
DOI: 10.6084/m9.figshare.22013312.v2
title: Datasets for state of knowledge of aquatic ecosystem and fisheries of Lakes Edward and George, East Africa

description: This record includes seven datasets on annual catch by taxa and waterbody, total catch by waterbody, catch composition which is the contribution (%) of taxa to total annual catches by water body, average weight of taxa in catch, number of boats and number of fishers, and sites sampled in selected studies in literature.
DOI: 10.5281/zenodo.10034204
title: ERA5-Land selected indicators daily aggregates for the Latin America region, 2006

description: This deposit contains NetCDF files with daily aggregates from Copernicus Era5-Land eight selected indicators, covering the Latin America region, for 2006.
Each file represents one indicator aggregation for one month of the year. Inside each NetCDF file, the layers contain the daily aggregates.
For 2m dewpoint pressure, 10m u component of wind, 10m v component of wind, surface pressure, the mean function was used for aggregation. For total precipitation, the sum function was used for aggregation. For 2m temperature, the functions maximum, mean and minimum were used for aggregation.
Those files were created using the KrigR package.
DOI: 10.5281/zenodo.10034203
title: ERA5-Land selected indicators daily aggregates for the Latin America region, 2006

description: This deposit contains NetCDF files with daily aggregates from Copernicus Era5-Land eight selected indicators, covering the Latin America region, for 2006.
Each file represents one indicator aggregation for one month of the year. Inside each NetCDF file, the layers contain the daily aggregates.
For 2m dewpoint pressure, 10m u component of wind, 10m v component of wind, surface pressure, the mean function was used for aggregation. For total precipitation, the sum function was used for aggregation. For 2m temperature, the functions maximum, mean and minimum were used for aggregation.
Those files were created using the KrigR package.
DOI: 10.6084/m9.figshare.21504828
title: Data from "Positive association between emerald ash borer residence time and accumulation of invasive plants"

description: Data and R code to fit models and perform randomization tests.
DOI: 10.6084/m9.figshare.21504828.v1
title: Data from "Positive association between emerald ash borer residence time and accumulation of invasive plants"

description: Data and R code to fit models and perform randomization tests.
DOI: 10.18728/igb-fred-845.0
title: Global introductions and environmental impacts of freshwater megafish

description: This data was used to assess the impacts of alien freshwater megafish on native species using the EICAT and EICAT+ protocols.
DOI: 10.18728/igb-fred-846.1
title: Global introductions and environmental impacts of freshwater megafish

description: This data was used to assess the impacts of alien freshwater megafish on native species using the EICAT and EICAT+ protocols.
DOI: 10.5281/zenodo.10033916
title: Transforming Proprietary to High-Level Trigger-Action Programming Rules Dataset

description: This dataset contains the results of performing Natural Language Processing (NLP) techniques on the  May~2017 dataset of Mi et al. (https://www-users.cse.umn.edu/~fengqian/ifttt_measurement/download/201705.tar.gz) using 3 different approaches.
It comprises folders for each of the approaches (allennlp, spacy and combined) as well as folders containing the raw dataset divided into triggers and actions. The allennlp and spacy datasets are also divided into (filtered) triggers and actions.
The allennlp folders comprise 1 JSON file which shows

The proprietary trigger or action name - ifttt_name
The EUPont translation - eupont_hypothesis
A value for which the ifttt_name and the eupont_hypothesis may be similar - allen_nlp_entailment
A value for which the ifttt_name and the eupont_hypothesis may be contradictory - allen_nlp_contradiction
A value for which the ifttt_name and the eupont_hypothesis may be neutral -  allen_nlp_neutral
The spacy folders comprise 1 JSON file for each trigger and action which shows

The EUPont translation
The proprietary trigger or action name
A value for which the ifttt_name and the eupont_hypothesis may be similar
The combined folder comprises folders for triggers and actions which comprise 1 JSON file for each trigger and action which shows

The proprietary trigger or action name - ifttt_name
The EUPont translation - eupont_hypothesis
A value for the spacy similarity - spacy_similarity
A value for which the ifttt_name and the eupont_hypothesis may be similar -  allen_nlp_entailment
A value for which the ifttt_name and the eupont_hypothesis may be contradictory -  allen_nlp_contradiction
A value for which the ifttt_name and the eupont_hypothesis may be neutral -  allen_nlp_neutral
A value for the combined similarity - combined_similarity
DOI: 10.5281/zenodo.10033915
title: Transforming Proprietary to High-Level Trigger-Action Programming Rules Dataset

description: This dataset contains the results of performing Natural Language Processing (NLP) techniques on the  May~2017 dataset of Mi et al. (https://www-users.cse.umn.edu/~fengqian/ifttt_measurement/download/201705.tar.gz) using 3 different approaches.
It comprises folders for each of the approaches (allennlp, spacy and combined) as well as folders containing the raw dataset divided into triggers and actions. The allennlp and spacy datasets are also divided into (filtered) triggers and actions.
The allennlp folders comprise 1 JSON file which shows

The proprietary trigger or action name - ifttt_name
The EUPont translation - eupont_hypothesis
A value for which the ifttt_name and the eupont_hypothesis may be similar - allen_nlp_entailment
A value for which the ifttt_name and the eupont_hypothesis may be contradictory - allen_nlp_contradiction
A value for which the ifttt_name and the eupont_hypothesis may be neutral -  allen_nlp_neutral
The spacy folders comprise 1 JSON file for each trigger and action which shows

The EUPont translation
The proprietary trigger or action name
A value for which the ifttt_name and the eupont_hypothesis may be similar
The combined folder comprises folders for triggers and actions which comprise 1 JSON file for each trigger and action which shows

The proprietary trigger or action name - ifttt_name
The EUPont translation - eupont_hypothesis
A value for the spacy similarity - spacy_similarity
A value for which the ifttt_name and the eupont_hypothesis may be similar -  allen_nlp_entailment
A value for which the ifttt_name and the eupont_hypothesis may be contradictory -  allen_nlp_contradiction
A value for which the ifttt_name and the eupont_hypothesis may be neutral -  allen_nlp_neutral
A value for the combined similarity - combined_similarity
DOI: 10.6084/m9.figshare.24077184.v1
title: The data of tree-ring widths and stable carbon and nitrogen isotopes of mature Qinghai spruce in the central Qilian Mountains

description: The data of tree-ring widths and stable carbon (δ<sup>13</sup>C) and nitrogen (δ<sup>15</sup>N) isotopes of mature Qinghai spruce (<i>Picea crassifolia</i>) in the central Qilian Mountains, northwest China, from 1840 through 2019.
DOI: 10.5281/zenodo.10034165
title: MGH_Exp1_Histology_5
DOI: 10.5281/zenodo.10034164
title: MGH_Exp1_Histology_5