cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5517/ccdc.csd.cc2b9673
title: CCDC 2153794: Experimental Crystal Structure Determination

description: Related Article: Somnath N. Karad, Hayate Saito, Jun Shimokawa, Hideki Yorimitsu|2022|CSD Communication|||
description: Related Article: Somnath N. Karad, Hayate Saito, Jun Shimokawa, Hideki Yorimitsu|2022|J.Org.Chem.|89|3677|doi:10.1021/acs.joc.2c01795
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.cc2b9684
title: CCDC 2153795: Experimental Crystal Structure Determination

description: Related Article: Somnath N. Karad, Hayate Saito, Jun Shimokawa, Hideki Yorimitsu|2022|CSD Communication|||
description: Related Article: Somnath N. Karad, Hayate Saito, Jun Shimokawa, Hideki Yorimitsu|2022|J.Org.Chem.|89|3677|doi:10.1021/acs.joc.2c01795
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.10835202
title: PCA Test w/ MacRog
DOI: 10.5281/zenodo.10835203
title: PCA Test w/ MacRog
DOI: 10.48366/r673413
title: Application of machine learning in water management 

description: A comparison of four different studies employing machine learning in water management, developed for the estimation of daily, weekly, or monthly evapotranspiration.  Through various methodologies, these studies aim to optimize agricultural practices in water management and facilitate decision-making.
DOI: 10.5281/zenodo.10830259
title: Plastic damage in sea ice - model outputs and observations.

description: Sea ice model outputs and observations analyzed in the paper: "On the sensitivity of sea ice deformation statistics to plastic damage".

For the outputs, there is one file every 6 hours (for January 2002). Each folder represents one experiment with the associated snapshot files each containing a matrix of the given variable.

The observations are the 3-day gridded velocity derivatives. The files are numpy arrays (.npy) containing time slices for every 3-day period for January 2002.

 

1. Naming convention of the files

Model outputs

The folders are named according to the model configuration following the names used in (Savard and Tremblay, 2024):

"Model name" + ( + "configuration" + )

The files in each configuration follow the following convention:

"Variable" + "year" + _ +  "month" + _ + "day" + _ + "hour" + _ + "minutes" + . + "experiment number"

There is also an info file, which provides the numerical parameters used in each run:

info + . + "experiment number"

Observations

The files are the velocity derivatives:

"partial derivative" + .npy

There is also a mask for the period of January-February-March:

mask80JFM.npy

 

2. Variables included



u,v : sea ice velocity in the x,y directions (in m/s);

A: ice concentration per grid cell (0 -- 1);

h: mean ice thickness per grid cell (in m);

dam: plastic damage per grid cell (0 -- 1); 

div: sea ice divergence per grid cell (in s^-1);

shear: sea ice shear per grid cell (in s^-1).


 

4. Recommended citation usage

If any or all simulations included in the current archive are used in a future study, we ask to cite this archive and the plastic damage paper (Savard and Tremblay, 2024). If the observations provided here are used in a future study, we ask to cite this archive and the original paper in which the data is used (Kwok, 1997).

The original RGPS 3-day gridded dataset can be accessed here: https://asf.alaska.edu/data-sets/derived-data-sets/seaice-measures/sea-ice-measures-data-products/
DOI: 10.5281/zenodo.10830260
title: Plastic damage in sea ice - model outputs and observations.

description: Sea ice model outputs and observations analyzed in the paper: "On the sensitivity of sea ice deformation statistics to plastic damage".

For the outputs, there is one file every 6 hours (for January 2002). Each folder represents one experiment with the associated snapshot files each containing a matrix of the given variable.

The observations are the 3-day gridded velocity derivatives. The files are numpy arrays (.npy) containing time slices for every 3-day period for January 2002.

 

1. Naming convention of the files

Model outputs

The folders are named according to the model configuration following the names used in (Savard and Tremblay, 2024):

"Model name" + ( + "configuration" + )

The files in each configuration follow the following convention:

"Variable" + "year" + _ +  "month" + _ + "day" + _ + "hour" + _ + "minutes" + . + "experiment number"

There is also an info file, which provides the numerical parameters used in each run:

info + . + "experiment number"

Observations

The files are the velocity derivatives:

"partial derivative" + .npy

There is also a mask for the period of January-February-March:

mask80JFM.npy

 

2. Variables included



u,v : sea ice velocity in the x,y directions (in m/s);

A: ice concentration per grid cell (0 -- 1);

h: mean ice thickness per grid cell (in m);

dam: plastic damage per grid cell (0 -- 1); 

div: sea ice divergence per grid cell (in s^-1);

shear: sea ice shear per grid cell (in s^-1).


 

4. Recommended citation usage

If any or all simulations included in the current archive are used in a future study, we ask to cite this archive and the plastic damage paper (Savard and Tremblay, 2024). If the observations provided here are used in a future study, we ask to cite this archive and the original paper in which the data is used (Kwok, 1997).

The original RGPS 3-day gridded dataset can be accessed here: https://asf.alaska.edu/data-sets/derived-data-sets/seaice-measures/sea-ice-measures-data-products/
DOI: 10.5281/zenodo.10156402
title: Dataset: Applying RNA Logic to Optogenetically Activate Bacterial Expression at the mRNA Level

description: Primary data from manuscript Ranzani et al. (2023) "Applying RNA Logic to Optogenetically Activate Bacterial Expression at the mRNA Level"
DOI: 10.5281/zenodo.10835218
title: Dataset: Induction of Bacterial Expression at the mRNA Level by Light

description: Primary data from manuscript Ranzani et al. (2024) "Induction of Bacterial Expression at the mRNA Level by Light"
DOI: 10.5281/zenodo.10832954
title: Gridded MDA8 surface ozone observations for the EU and US during 1993-2014

description: Maximum daily eight-hour average (MDA8) surface ozone derived from gridded hourly observational datasets for the European and US domain [Schnell et al., 2014; 2015; Schnell and Prather, 2017], according to the MDA8 nomenclature of the European Union [EUR-LEX, 2008]. Note, we use a 358-day calendar, i.e. all months have 30 days except for February (28 days).

EUR-LEX. (2008). Directive 2008/50/EC of the European parliament and of the council of 21 May 2008 on ambient air quality and cleaner air for Europe (2008/50/EC). Retrieved from https://eur-lex.europa.eu/legal-content/EN/TXT/?uri=CELEX:32008L0050

Schnell, J. L., Holmes, C. D., Jangam, A., Prather, M. J. (2014). Skill in forecasting extreme ozone pollution episodes with a global atmospheric chemistry model. Atmos Chem Phys, 14(15), 7721-7739. doi:10.5194/acp-14-7721-2014

Schnell, J. L., Prather, M. J., Josse, B., Naik, V., Horowitz, L. W., Cameron-Smith, P., Bergmann, D., Zeng, G., Plummer, D. A., Sudo, K., Nagashima, T., Shindell, D. T., Faluvegi, G., Strode, S. A. (2015). Use of North American and European air quality networks to evaluate global chemistry–climate modeling of surface ozone. Atmos. Chem. Phys., 15(18), 10581-10596. doi:10.5194/acp-15-10581-2015

Schnell, J. L., Prather, M. J. (2017). Co-occurrence of extremes in surface ozone, particulate matter, and temperature over eastern North America. Proceedings of the National Academy of Sciences, 114(11), 2854-2859. doi:10.1073/pnas.1614453114
DOI: 10.5281/zenodo.10832955
title: Gridded MDA8 surface ozone observations for the EU and US during 1993-2014

description: Maximum daily eight-hour average (MDA8) surface ozone derived from gridded hourly observational datasets for the European and US domain [Schnell et al., 2014; 2015; Schnell and Prather, 2017], according to the MDA8 nomenclature of the European Union [EUR-LEX, 2008]. Note, we use a 358-day calendar, i.e. all months have 30 days except for February (28 days).

EUR-LEX. (2008). Directive 2008/50/EC of the European parliament and of the council of 21 May 2008 on ambient air quality and cleaner air for Europe (2008/50/EC). Retrieved from https://eur-lex.europa.eu/legal-content/EN/TXT/?uri=CELEX:32008L0050

Schnell, J. L., Holmes, C. D., Jangam, A., Prather, M. J. (2014). Skill in forecasting extreme ozone pollution episodes with a global atmospheric chemistry model. Atmos Chem Phys, 14(15), 7721-7739. doi:10.5194/acp-14-7721-2014

Schnell, J. L., Prather, M. J., Josse, B., Naik, V., Horowitz, L. W., Cameron-Smith, P., Bergmann, D., Zeng, G., Plummer, D. A., Sudo, K., Nagashima, T., Shindell, D. T., Faluvegi, G., Strode, S. A. (2015). Use of North American and European air quality networks to evaluate global chemistry–climate modeling of surface ozone. Atmos. Chem. Phys., 15(18), 10581-10596. doi:10.5194/acp-15-10581-2015

Schnell, J. L., Prather, M. J. (2017). Co-occurrence of extremes in surface ozone, particulate matter, and temperature over eastern North America. Proceedings of the National Academy of Sciences, 114(11), 2854-2859. doi:10.1073/pnas.1614453114
DOI: 10.5281/zenodo.10834857
title: Supplementary Material - WER_2024

description: Supplementary Material - WER_2024 paper "O que o mercado de trabalho espera dos profissionais que ingressam na área de Engenharia de Requisitos?"
DOI: 10.5281/zenodo.10834858
title: Supplementary Material - WER_2024

description: Supplementary Material - WER_2024 paper "O que o mercado de trabalho espera dos profissionais que ingressam na área de Engenharia de Requisitos?"
DOI: 10.5281/zenodo.10835225
title: Supplementary Material - WER_2024

description: Supplementary Material - WER_2024 paper "O que o mercado de trabalho espera dos profissionais que ingressam na área de Engenharia de Requisitos?"
DOI: 10.25810/s7n-vh24.49
title: African Newspaper Coverage of Climate Change or Global Warming, 2004-2024 February 2024

description: The Media and Climate Change Observatory Data monitors 117 sources (across newspapers, radio and TV) in 55 countries in seven different regions around the world. Data is assembled by accessing archives through the Lexis Nexis, Proquest and Factiva databases via the University of Colorado libraries. More information may be found at: http://sciencepolicy.colorado.edu/media_coverage.
DOI: 10.5281/zenodo.10503348
title: Capturing urban heterogeneity enhances tropical cyclones simulation in Houston (dataset)

description: WRF simulation output for the paper titled "Capturing urban heterogeneity enhances tropical cyclones simulation in Houston".
DOI: 10.7284/155575
title: ADCP (Acoustic Doppler Current Profiler) data collected during research cruise SAV-23-08 using a Hawaii UHDAS instrument system onboard the platform RV Savannah

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/155577
title: CTD (Conductivity, Temperature, Depth) data collected during research cruise SAV-23-08 using a SeaBird SBE-911+ instrument system onboard the platform RV Savannah

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/155574
title: Fluorometer data collected during research cruise SAV-23-08 using a WETLabs WETStar instrument system onboard the platform RV Savannah

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/155578
title: GNSS (Global Navigation Satellite System) data collected during research cruise SAV-23-08 using a Furuno GP-90 instrument system onboard the platform RV Savannah

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/155579
title: GNSS (Global Navigation Satellite System) data collected during research cruise SAV-23-08 using a Furuno SC50 instrument system onboard the platform RV Savannah

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.25345/c5pv6bj5b
title: MassIVE MSV000094346 - Fecal microbial profiles and small chain fatty acids/bile acids metabolomics in patients with age-related macular degeneration
title: Targeted metabolomics of fecal samples in patients with age-related macular degeneration.
DOI: 10.7284/155580
title: GNSS (Global Navigation Satellite System) data collected during research cruise SAV-23-08 using a Hemisphere R131 instrument system onboard the platform RV Savannah

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/155581
title: Gyrocompass data collected during research cruise SAV-23-08 using a Yokogawa CMZ700B instrument system onboard the platform RV Savannah

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/155582
title: Meteorological Station data collected during research cruise SAV-23-08 using a RMYoung 26800 instrument system onboard the platform RV Savannah

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/155583
title: Singlebeam Echosounder data collected during research cruise SAV-23-08 using a Furuno FCV-585 instrument system onboard the platform RV Savannah

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/155576
title: TSG (Thermosalinograph) data collected during research cruise SAV-23-08 using a SeaBird SBE-45 instrument system onboard the platform RV Savannah

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.5281/zenodo.8009554
title: Human Dataset of musical patterns and repetitions with artistic variations

description: Dataset of musical patterns and pattern repetitions with artistic variations recorded by keyboard players and guitar players.
DOI: 10.34740/kaggle/dsv/7878742
title: Trending Youtube Video Statistics (113 Countries)
DOI: 10.25810/8pez-h060.50
title: Asian Newspaper Coverage of Climate Change or Global Warming, 2004-2024 - February 2024

description: The Media and Climate Change Observatory Data monitors 126 sources (across newspapers, radio and TV) in 58 countries in seven different regions around the world. Data is assembled by accessing archives through the Lexis Nexis, Proquest and Factiva databases via the University of Colorado libraries. More information may be found at: http://mecco.colorado.edu.
DOI: 10.5281/zenodo.8018003
title: Human Dataset of musical patterns and repetitions with artistic variations

description: Dataset of musical patterns and pattern repetitions with artistic variations recorded by keyboard players and guitar players.

 

NOTE: There are some corrupted files in the dataset. Please find the latest version at: https://zenodo.org/doi/10.5281/zenodo.10818616
DOI: 10.5281/zenodo.8009553
title: Human Dataset of musical patterns and repetitions with artistic variations

description: Dataset of musical patterns and pattern repetitions with artistic variations recorded by keyboard players and guitar players.

 

NOTE: There are some corrupted files in the dataset. Please find the latest version at: https://zenodo.org/doi/10.5281/zenodo.10818616
DOI: 10.7284/155566
title: ADCP (Acoustic Doppler Current Profiler) data collected during research cruise SAV-23-06 using a Hawaii UHDAS instrument system onboard the platform RV Savannah

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/155565
title: Fluorometer data collected during research cruise SAV-23-06 using a WETLabs WETStar instrument system onboard the platform RV Savannah

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/155568
title: GNSS (Global Navigation Satellite System) data collected during research cruise SAV-23-06 using a Furuno GP-90 instrument system onboard the platform RV Savannah

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/155569
title: GNSS (Global Navigation Satellite System) data collected during research cruise SAV-23-06 using a Furuno SC50 instrument system onboard the platform RV Savannah

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/155570
title: GNSS (Global Navigation Satellite System) data collected during research cruise SAV-23-06 using a Hemisphere R131 instrument system onboard the platform RV Savannah

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/155571
title: Gyrocompass data collected during research cruise SAV-23-06 using a Yokogawa CMZ700B instrument system onboard the platform RV Savannah

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/155572
title: Meteorological Station data collected during research cruise SAV-23-06 using a RMYoung 26800 instrument system onboard the platform RV Savannah

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/155573
title: Singlebeam Echosounder data collected during research cruise SAV-23-06 using a Furuno FCV-585 instrument system onboard the platform RV Savannah

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/155567
title: TSG (Thermosalinograph) data collected during research cruise SAV-23-06 using a SeaBird SBE-45 instrument system onboard the platform RV Savannah

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.17630/ced13c7f-c9b6-479c-9668-e3d6c86775bc
title: Towards a quantitative description of tunneling conductance of superconductors: Application to LiFeAs (dataset)
DOI: 10.34740/kaggle/dsv/7878779
title: Balochi Language to English Translation Dataset
DOI: 10.17630/773a8f44-1488-432a-985c-a2e480b529dc
title: Porous zinc and cobalt 2-nitroimidazolate frameworks with six-membered ring windows and a layered cobalt 2-nitroimidazolate polymorph (dataset)
DOI: 10.17630/313df503-6c9b-486f-a2a0-e0c9f6506b50
title: STA-20: An ABC-6 Zeotype Structure Prepared by Co-Templating and Solved via a Hypothetical Structure Database and STEM-ADF Imaging (Dataset)
DOI: 10.5281/zenodo.10835285
title: cyclanthera_cordifolia_decontaminated_FSCR.fasta.gz

description: .
DOI: 10.5281/zenodo.10835286
title: cyclanthera_cordifolia_decontaminated_FSCR.fasta.gz

description: .
DOI: 10.17630/e73d64ee-120d-4658-91bc-3369c1ef1af2
title: Risky Spaceships - dataset
DOI: 10.7284/155540
title: Fluorometer data collected during research cruise SAV-23-03 using a WETLabs WETStar instrument system onboard the platform RV Savannah

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/155541
title: GNSS (Global Navigation Satellite System) data collected during research cruise SAV-23-03 using a Furuno GP-90 instrument system onboard the platform RV Savannah

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/155542
title: GNSS (Global Navigation Satellite System) data collected during research cruise SAV-23-03 using a Furuno SC50 instrument system onboard the platform RV Savannah

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/155543
title: GNSS (Global Navigation Satellite System) data collected during research cruise SAV-23-03 using a Hemisphere R131 instrument system onboard the platform RV Savannah

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/155544
title: Gyrocompass data collected during research cruise SAV-23-03 using a Yokogawa CMZ700B instrument system onboard the platform RV Savannah

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/155545
title: Meteorological Station data collected during research cruise SAV-23-03 using a RMYoung 26800 instrument system onboard the platform RV Savannah

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/155546
title: Singlebeam Echosounder data collected during research cruise SAV-23-03 using a Furuno FCV-585 instrument system onboard the platform RV Savannah

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.6084/m9.figshare.24910866
title: Experiment 1: All d-MPs found by the presented algorithm for the small network from Fig. 2

description: The 'Ex_1_Kd.csv' file contains the results of the numerical experiments described in Section 4.1. Experiment 1.Experiment 1: All d-MPs found by the presented algorithm for the small network from Fig. 2
DOI: 10.6084/m9.figshare.24910866.v1
title: All d-MPs found by the presented algorithm for the small network

description: All d-MPs found by the presented algorithm for the small network
DOI: 10.6084/m9.figshare.24910866.v2
title: Experiment 1: All d-MPs found by the presented algorithm for the small network from Fig. 2

description: The 'Ex_1_Kd.csv' file contains the results of the numerical experiments described in Section 4.1. Experiment 1.Experiment 1: All d-MPs found by the presented algorithm for the small network from Fig. 2
DOI: 10.6084/m9.figshare.24910872
title: Experiment 1: All d-MPs found by the presented algorithm for the moderate network from Fig. 2

description: The 'Ex_2_Kd.csv' file contains the results of the numerical experiments described in Section 4.1. Experiment 1.Experiment 1: All d-MPs found by the presented algorithm for the moderate network from Fig. 2
DOI: 10.6084/m9.figshare.24910872.v2
title: Experiment 1: All d-MPs found by the presented algorithm for the moderate network from Fig. 2

description: The 'Ex_2_Kd.csv' file contains the results of the numerical experiments described in Section 4.1. Experiment 1.Experiment 1: All d-MPs found by the presented algorithm for the moderate network from Fig. 2
DOI: 10.6084/m9.figshare.24910872.v1
title: All d-MPs found by the presented algorithm for the moderate network

description: All d-MPs found by the presented algorithm for the moderate network
DOI: 10.6084/m9.figshare.24910881
title: Experiment 1: All d-MPs found by the presented algorithm for the large network from Fig. 5

description: The 'Ex_3_Kd.csv' file contains the results of the numerical experiments described in Section 4.1. Experiment 1.Experiment 1: All d-MPs found by the presented algorithm for the large network from Fig. 5
DOI: 10.6084/m9.figshare.24910881.v1
title: All d-MPs found by the presented algorithm for the large network

description: All d-MPs found by the presented algorithm for the large network
DOI: 10.6084/m9.figshare.25418596
title: Experiment 1: Results of numerical experiments for the directed grid network from Fig. 7

description: The 'Ex_4.csv' file contains the results of the numerical experiments described in Section 4.1. Experiment 1.Notation occurring in the 'Ex_4.csv' file:d - the system demand requirement;#d-MPs - the number of all d-MPs;rel_L, rel_Lp, rel_K1, rel_K2 - the two terminal reliability (or reliability bounds) returned by algorithms: the serial bounding algorithm described in article DOI: 10.1016/j.ress.2021.107500, the series-parallel bounding algorithm described in article DOI: 10.1016/j.ress.2021.107500 and the presented algorithm with parameter p=1,2, respectively;tim_L, tim_Lp, tim_K1, tim_K2 - the running times of algorithms: the serial bounding algorithm described in article DOI: 10.1016/j.ress.2021.107500, the series-parallel bounding algorithm described in article DOI: 10.1016/j.ress.2021.107500 and the 'Kozyra_part_SSD' procedure with parameter p=1,2, respectivelytim_Kd - the running time of the 'Kozyra_d_MPs_Part' proceduren_LU - the length of the list L_L_U (the number of limiting state points of subspaces without d-MPs).<br><br>