cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.23587650
title: Monthly Reconstructed Texas AOD (95% threshold)

description: This is the polished aggregated AOD quarterly composites for the state of Texas, USA from Jan 2010 to Aug 2022, using spatio-temporal LSTM convolutional autoencoder model. Given that AOD data can be influenced by short-term events like heavy rain or thunderstorm, we generated “smoothly aggregated” data composites to mitigate the impact of temporary disturbances or anomalous measurements, allowing for a more accurate characterization of the average AOD levels. Specifically, within a month, the daily data tails beyond the 2nd standard deviation ranges were excluded. This means that data points falling outside the 95% distribution were not considered in the monthly averaging process.
DOI: 10.6084/m9.figshare.23587650.v1
title: Monthly Reconstructed Texas AOD (95% threshold)

description: This is the polished aggregated AOD quarterly composites for the state of Texas, USA from Jan 2010 to Aug 2022, using spatio-temporal LSTM convolutional autoencoder model. Given that AOD data can be influenced by short-term events like heavy rain or thunderstorm, we generated “smoothly aggregated” data composites to mitigate the impact of temporary disturbances or anomalous measurements, allowing for a more accurate characterization of the average AOD levels. Specifically, within a month, the daily data tails beyond the 2nd standard deviation ranges were excluded. This means that data points falling outside the 95% distribution were not considered in the monthly averaging process.
DOI: 10.6084/m9.figshare.23587650.v2
title: Monthly Reconstructed Texas AOD (95% threshold)

description: This is the polished aggregated AOD quarterly composites for the state of Texas, USA from Jan 2010 to Aug 2022, using spatio-temporal LSTM convolutional autoencoder model. Given that AOD data can be influenced by short-term events like heavy rain or thunderstorm, we generated “smoothly aggregated” data composites to mitigate the impact of temporary disturbances or anomalous measurements, allowing for a more accurate characterization of the average AOD levels. Specifically, within a month, the daily data tails beyond the 2nd standard deviation ranges were excluded. This means that data points falling outside the 95% distribution were not considered in the monthly averaging process.
DOI: 10.5281/zenodo.7324473
title: Angle Dependent Spectral Reflectance Material Dataset based on 945 nm Time-of-Flight Camera Measurements

description: The dataset contains angle dependent spectral reflectance measurements of materials in the infrared spectrum at a wavelength of 945 nm taken by a time-of-flight camera, mounted on an adjustable angle measurement device. Each data file is structured in columns with two parameters: reflectance (%) and incidence angle (°). For each single material measurement a description file is attached in a separate ZIP-file. <strong>Note: </strong>Please always use the latest version!
DOI: 10.5281/zenodo.7319275
title: Angle Dependent Spectral Reflectance Material Dataset based on 945 nm Time-of-Flight Camera Measurements

description: The dataset contains angle dependent spectral reflectance measurements of materials in the infrared spectrum at a wavelength of 945 nm taken by a time-of-flight camera for an angle range of 0° to 80° in incremental steps of 10°, mounted on an adjustable angle measurement device. Each data file is structured in columns with two parameters: reflectance (%) and incidence angle (°). For each single material measurement a description file is attached in a separate ZIP-file. The extended dataset include new materials such as vehicle varnish and moss rubber. This new version further includes pictures for almost each of the measurements to depict the measurement setup and environmental conditions during the data acquisition. They are provided in a separate ZIP-file. <strong>Note: </strong>Please always use the latest version!
DOI: 10.5281/zenodo.7467552
title: Angle Dependent Spectral Reflectance Material Dataset based on 945 nm Time-of-Flight Camera Measurements

description: The dataset contains angle dependent spectral reflectance measurements of materials in the infrared spectrum at a wavelength of 945 nm taken by a time-of-flight camera, mounted on an adjustable angle measurement device. Each data file is structured in columns with two parameters: reflectance (%) and incidence angle (°). For each single material measurement a description file is attached in a separate ZIP-file. <strong>Note: </strong>Please always use the latest version!
DOI: 10.5281/zenodo.8134683
title: Angle Dependent Spectral Reflectance Material Dataset based on 945 nm Time-of-Flight Camera Measurements

description: The dataset contains angle dependent spectral reflectance measurements of materials in the infrared spectrum at a wavelength of 945 nm taken by a time-of-flight camera for an angle range of 0° to 80° in incremental steps of 10°, mounted on an adjustable angle measurement device. Each data file is structured in columns with two parameters: reflectance (%) and incidence angle (°). For each single material measurement a description file is attached in a separate ZIP-file. The extended dataset include new materials such as vehicle varnish and moss rubber. This new version further includes pictures for almost each of the measurements to depict the measurement setup and environmental conditions during the data acquisition. They are provided in a separate ZIP-file. <strong>Note: </strong>Please always use the latest version!
DOI: 10.5281/zenodo.8322076
title: Angle Dependent Spectral Reflectance Material Dataset based on 945 nm Time-of-Flight Camera Measurements

description: The dataset contains angle dependent spectral reflectance measurements of materials in the infrared spectrum at a wavelength of 945 nm taken by a time-of-flight camera for an angle range of 0° to 80° in incremental steps of 10°, mounted on an adjustable angle measurement device. Each data file is structured in columns with two parameters: reflectance (%) and incidence angle (°). For each single material measurement a description file is attached in a separate ZIP-file. The extended dataset include new materials such as vehicle varnish and moss rubber. This new version further includes pictures for almost each of the measurements to depict the measurement setup and environmental conditions during the data acquisition. They are provided in a separate ZIP-file. <strong>Note: </strong>Please always use the latest version!
DOI: 10.6084/m9.figshare.21391308
title: Quarterly Reconstructed Texas AOD

description: This is the aggregated AOD quarterly composites for the state of Texas, USA from Jan 2010 to Aug 2022, using spatio-temporal LSTM convolutional autoencoder model.
DOI: 10.6084/m9.figshare.21391308.v3
title: Quarterly Reconstructed Texas AOD

description: This is the aggregated AOD quarterly composites for the state of Texas, USA from Jan 2010 to Aug 2022, using spatio-temporal LSTM convolutional autoencoder model.
DOI: 10.6084/m9.figshare.21391308.v2
title: Quarterly Reconstructed Texas AOD

description: This is the aggregated AOD quarterly composites for the state of Texas, USA from Jan 2010 to Aug 2022, using spatio-temporal LSTM convolutional autoencoder model.
DOI: 10.6084/m9.figshare.21391299
title: Monthly Reconstructed Texas AOD

description: This is the aggregated AOD monthly composites for the state of Texas, USA from Jan 2010 to Aug 2022, using a spatio-temporal LSTM convolutional autoencoder model.
DOI: 10.6084/m9.figshare.21391299.v3
title: Monthly Reconstructed Texas AOD

description: This is the aggregated AOD monthly composites for the state of Texas, USA from Jan 2010 to Aug 2022, using a spatio-temporal LSTM convolutional autoencoder model.
DOI: 10.6084/m9.figshare.21391299.v2
title: Monthly Reconstructed Texas AOD

description: This is the aggregated AOD monthly composites for the state of Texas, USA from Jan 2010 to Aug 2022, using a spatio-temporal LSTM convolutional autoencoder model.
DOI: 10.6084/m9.figshare.24083532
title: Random linear physical network instances

description: Pre-generated instances of random linear physical networks as defined in arXiv:2211.13265.Code used to generate the data can be found here:<br>https://github.com/posfaim/randLPN
DOI: 10.6084/m9.figshare.24083532.v1
title: Random linear physical network instances

description: Pre-generated instances of random linear physical networks as defined in arXiv:2211.13265.Code used to generate the data can be found here:<br>https://github.com/posfaim/randLPN
DOI: 10.6084/m9.figshare.21385401
title: Yearly Reconstructed Texas AOD

description: This is the aggregated AOD annual composites for the state of Texas, USA from Jan 2010 to Aug 2022, using a spatio-temporal LSTM convolutional autoencoder model.
DOI: 10.6084/m9.figshare.21385401.v4
title: Yearly Reconstructed Texas AOD

description: This is the aggregated AOD annual composites for the state of Texas, USA from Jan 2010 to Aug 2022, using a spatio-temporal LSTM convolutional autoencoder model.
DOI: 10.6084/m9.figshare.21385401.v3
title: Yearly Reconstructed Texas AOD

description: This is the aggregated AOD annual composites for the state of Texas, USA from Jan 2010 to Aug 2022, using a spatio-temporal LSTM convolutional autoencoder model.
DOI: 10.6084/m9.figshare.21385188
title: Daily Reconstructed Texas AOD

description: Daily reconstructed aerosol optical depth (AOD) for Texas from Jan. 05, 2010 to Sept. 02, 2022, using a spatio-temporal LSTM convolutional autoencoder model.
DOI: 10.6084/m9.figshare.21385188.v3
title: Daily Reconstructed Texas AOD

description: Daily reconstructed aerosol optical depth (AOD) for Texas from Jan. 05, 2010 to Sept. 02, 2022, using a spatio-temporal LSTM convolutional autoencoder model.
DOI: 10.6084/m9.figshare.21385188.v2
title: Daily Reconstructed Texas AOD

description: Daily reconstructed aerosol optical depth (AOD) for Texas from Jan. 05, 2010 to Sept. 02, 2022, using a spatio-temporal LSTM convolutional autoencoder model.
DOI: 10.5517/ccdc.csd.cc2fzn03
title: CCDC 2263775: Experimental Crystal Structure Determination

description: Related Article: Ping Lu|2023|CSD Communication|||
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.cc2fzn14
title: CCDC 2263776: Experimental Crystal Structure Determination

description: Related Article: Ping Lu|2023|CSD Communication|||
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.cc2g05g4
title: CCDC 2264285: Experimental Crystal Structure Determination

description: Related Article: Feng Guo|2023|CSD Communication|||
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.cc2g0bys
title: CCDC 2264455: Experimental Crystal Structure Determination

description: Related Article: Marta Gozzi, Peter Lönnecke, Evamarie Hey-Hawkins|2023|CSD Communication|||
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.cc2g0l47
title: CCDC 2264678: Experimental Crystal Structure Determination

description: Related Article: Laurence J. Kershaw Cook|2023|CSD Communication|||
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.cc2g0q07
title: CCDC 2264798: Experimental Crystal Structure Determination

description: Related Article: Dmitry Yufit|2023|CSD Communication|||
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.cc2g0tdq
title: CCDC 2264903: Experimental Crystal Structure Determination

description: Related Article: Dmitry Yufit|2023|CSD Communication|||
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.cc2g12wh
title: CCDC 2265166: Experimental Crystal Structure Determination

description: Related Article: Dmitry Yufit|2023|CSD Communication|||
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.cc2g15yn
title: CCDC 2265261: Experimental Crystal Structure Determination

description: Related Article: Laurence J. Kershaw Cook, Paul R. Raithby|2023|CSD Communication|||
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.cc2g16b2
title: CCDC 2265273: Experimental Crystal Structure Determination

description: Related Article: Laurence J. Kershaw Cook|2023|CSD Communication|||
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.cc2g1bvq
title: CCDC 2265413: Experimental Crystal Structure Determination

description: Related Article: M.Sokolov, V.Tafeenko|2023|CSD Communication|||
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: 10.25345/c5vd6pf94
title: MassIVE MSV000092825 - Strong chemotaxis by marine bacteria towards polysaccharides is enhanced by the abundant organosulfur compound DMSP
title: In vitro enzyme assay of DMSP and Homocysteine with Alteromonas cell extract. We attempt to detect methyltransferase activity for production of Methionine.
DOI: 10.5523/bris.13il5kcangepq2kfk8i4ap37iw
title: Griffin_pterosaur_moment_arms
title: Pterosaur moments

description: Supporting data for publication Griffin et al on pterosaur biomechanics
DOI: 10.6084/m9.figshare.5977825
title: Canopy structural complexity data for 12 eastern US sites including NEON

description: Canopy structural complexity metrics calculated from sites across the eastern US from portable canopy lidar (PCL) data using the R package forestr (https://cran.r-project.org/web/packages/forestr/index.html)
DOI: 10.6084/m9.figshare.5977825.v1
title: Canopy structural complexity data for 12 eastern US sites including NEON

description: Canopy structural complexity metrics calculated from sites across the eastern US from portable canopy lidar (PCL) data using the R package forestr (https://cran.r-project.org/web/packages/forestr/index.html)
DOI: 10.5281/zenodo.8322195
title: Environmental Performance Assessment of a Novel Process Concept for Propanol Production from Widely Available and Wasted Methane Sources

description: Dataset for associated publication.
DOI: 10.5281/zenodo.8322194
title: Environmental Performance Assessment of a Novel Process Concept for Propanol Production from Widely Available and Wasted Methane Sources

description: Dataset for associated publication.
DOI: 10.6084/m9.figshare.24088557
title: 20230907_starrydata2

description: All data on Starrydata2, a database of experimental properties in the field of inorganic materials
DOI: 10.6084/m9.figshare.24088557.v1
title: 20230907_starrydata2

description: All data on Starrydata2, a database of experimental properties in the field of inorganic materials
DOI: 10.5281/zenodo.8322261
title: spinus_atriceps_zanfona_1.fasta.gz

description: .
DOI: 10.5281/zenodo.8322260
title: spinus_atriceps_zanfona_1.fasta.gz

description: .
DOI: 10.5281/zenodo.8322236
title: Regression datasets

description: Regression datasets used in the paper 'Random forests with parametric entropy-based information gains for classification and regression problems'. The original bank32nh dataset is available at https://www.openml.org/search?type=data&status=active&id=558. diabetes dataset originates from https://scikit-learn.org/stable/modules/generated/sklearn.datasets.load_diabetes.html sulfur dataset comes from https://www.openml.org/search?type=data&sort=runs&id=23515&status=active
DOI: 10.5281/zenodo.8322235
title: Regression datasets

description: Regression datasets used in the paper 'Random forests with parametric entropy-based information gains for classification and regression problems'. The original bank32nh dataset is available at https://www.openml.org/search?type=data&status=active&id=558. diabetes dataset originates from https://scikit-learn.org/stable/modules/generated/sklearn.datasets.load_diabetes.html sulfur dataset comes from https://www.openml.org/search?type=data&sort=runs&id=23515&status=active
DOI: 10.5281/zenodo.8322286
title: parotocinclus_spilosoma_zanfona_1.fasta.gz

description: .
DOI: 10.5281/zenodo.8322285
title: parotocinclus_spilosoma_zanfona_1.fasta.gz

description: .
DOI: 10.13140/rg.2.2.13387.16160
title: METRICS-DRIVEN EMPLOYEE DEVELOPMENT IN SOFTWARE COMPANIES
DOI: 10.13140/rg.2.2.33519.82087
title: Analysis of World Rankings of Universities in Kazakhstan, Central Asia, and other former and present CIS countries in 2022
DOI: 10.13140/rg.2.2.25131.21281
title: Analysis of World Rankings of Universities in Kazakhstan, Central Asia, and other former and present CIS countries in 2022
DOI: 10.13140/rg.2.2.15064.88329
title: Analysis of World Rankings of Universities in Kazakhstan, Central Asia, and other former and present CIS countries in 2022
DOI: 10.13140/rg.2.2.21775.76966
title: Analysis of World Rankings of Universities in Kazakhstan, Central Asia, and other former and present CIS countries in 2022
DOI: 10.13140/rg.2.2.35197.54246
title: Analysis of World Rankings of Universities in Kazakhstan, Central Asia, and other former and present CIS countries in 2022
DOI: 10.13140/rg.2.2.10870.57927
title: Analysis of World Rankings of Universities in Kazakhstan, Central Asia, and other former and present CIS countries in 2022
DOI: 10.7284/149806
title: ADCP (Acoustic Doppler Current Profiler) data collected during research cruise NBP0304BCD using a RDI VM-150 instrument system onboard the platform RV Nathaniel B. Palmer

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/149793
title: CTD (Conductivity, Temperature, Depth) data collected during research cruise NBP0304BCD using a SeaBird SBE-911+ instrument system onboard the platform RV Nathaniel B. Palmer

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/149798
title: Meteorological Station data collected during research cruise NBP0304BCD using a USAP RVDAS Metstation instrument system onboard the platform RV Nathaniel B. Palmer

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/148896
title: Meteorological Station data collected during research cruise NBP0401 using a USAP RVDAS Metstation instrument system onboard the platform RV Nathaniel B. Palmer

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/148831
title: pCO2 (Partial Pressure of Carbon Dioxide) data collected during research cruise NBP0401 using a LDEO pCO2 instrument system onboard the platform RV Nathaniel B. Palmer

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/148901
title: SSV (Sound Speed Velocimeter) data collected during research cruise NBP0401 using a AML SV2000 instrument system onboard the platform RV Nathaniel B. Palmer

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/148894
title: Gravimeter data collected during research cruise NBP0402 using a LR S-33 instrument system onboard the platform RV Nathaniel B. Palmer

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/148897
title: Meteorological Station data collected during research cruise NBP0402 using a USAP RVDAS Metstation instrument system onboard the platform RV Nathaniel B. Palmer

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/148791
title: pCO2 (Partial Pressure of Carbon Dioxide) data collected during research cruise NBP0402 using a LDEO pCO2 instrument system onboard the platform RV Nathaniel B. Palmer

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/148902
title: SSV (Sound Speed Velocimeter) data collected during research cruise NBP0402 using a AML SV2000 instrument system onboard the platform RV Nathaniel B. Palmer

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/148835
title: Gravimeter data collected during research cruise NBP0403 using a LR S-33 instrument system onboard the platform RV Nathaniel B. Palmer

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/148899
title: Meteorological Station data collected during research cruise NBP0403 using a USAP RVDAS Metstation instrument system onboard the platform RV Nathaniel B. Palmer

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.5281/zenodo.8322324
title: Heterogenized Molecular Rhodium Phosphine Catalysts within Metal–Organic Frameworks for Alkene Hydroformylation

description: Supplementary information for associated publication