cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.15025272.v2
title: Future changes in the frequency of weather types over the South Atlantic Ocean: WT_data

description: Weather types to South Atlantic Ocean<br>Climate change is expected to affect the frequency of regional atmospheric circulation patterns and, consequently, it will result in changes in meteorological and oceanographic conditions. Here, we present a dataset that consists of the frequency of the main atmospheric patterns (weather types) over the South Atlantic Ocean in the past and future. We used a reanalysis hindcast to identify 25 weather types representing the typical synoptic conditions in the region over the past 32 years. We verified the performance of the CMIP5 and CMIP6 projections on describing the frequency of these main weather types over the South Atlantic and assessed the potential changes in these frequencies in the future. The scenarios project variations of up to 3% in the frequency of some weather types over the 21st century. The data set and the performance analysis presented here can be used to support future statistical analysis, such as statistical downscaling experiments of oceanographic variables and studies on climate variations in the South Atlantic.<br>
DOI: 10.6084/m9.figshare.15025272.v1
title: WT_data

description: Weather types to South Atlantic Ocean
DOI: 10.6084/m9.figshare.15025263
title: Future changes in the frequency of weather types over the South Atlantic Ocean: Data_results

description: The files of frequencies of historical occurrence is composed of the frequencies of relative occurrence of each weather type for the reference period, from the CFSR reanalysis data and the simulated frequencies for each model. The future projections file consists of the projected frequencies of occurrence and the magnitude of the changes for each scenario, time interval and model.<br>Climate change is expected to affect the frequency of regional atmospheric circulation patterns and, consequently, it will result in changes in meteorological and oceanographic conditions. Here, we present a dataset that consists of the frequency of the main atmospheric patterns (weather types) over the South Atlantic Ocean in the past and future. We used a reanalysis hindcast to identify 25 weather types representing the typical synoptic conditions in the region over the past 32 years. We verified the performance of the CMIP5 and CMIP6 projections on describing the frequency of these main weather types over the South Atlantic and assessed the potential changes in these frequencies in the future. The scenarios project variations of up to 3% in the frequency of some weather types over the 21st century. The data set and the performance analysis presented here can be used to support future statistical analysis, such as statistical downscaling experiments of oceanographic variables and studies on climate variations in the South Atlantic.<br>
DOI: 10.5517/ccdc.csd.cc27g10s
title: CCDC 2069064: Experimental Crystal Structure Determination

description: Related Article: Taeyang An, Yan Lee|2021|Org.Lett.|23|9163|doi:10.1021/acs.orglett.1c03473
DOI: 10.5517/ccdc.csd.cc27xwy0
title: CCDC 2083353: Experimental Crystal Structure Determination

description: Related Article: Santosh J. Gharpure, Pankaj E. Hande, Surya K. Pandey, Ganesh Samala|2021|J.Org.Chem.|86|16652|doi:10.1021/acs.joc.1c01927
DOI: 10.5517/ccdc.csd.cc27xwz1
title: CCDC 2083354: Experimental Crystal Structure Determination

description: Related Article: Santosh J. Gharpure, Pankaj E. Hande, Surya K. Pandey, Ganesh Samala|2021|J.Org.Chem.|86|16652|doi:10.1021/acs.joc.1c01927
DOI: 10.5517/ccdc.csd.cc27xzhn
title: CCDC 2083432: Experimental Crystal Structure Determination

description: Related Article: Santosh J. Gharpure, Pankaj E. Hande, Surya K. Pandey, Ganesh Samala|2021|J.Org.Chem.|86|16652|doi:10.1021/acs.joc.1c01927
DOI: 10.5517/ccdc.csd.cc27xzjp
title: CCDC 2083433: Experimental Crystal Structure Determination

description: Related Article: Santosh J. Gharpure, Pankaj E. Hande, Surya K. Pandey, Ganesh Samala|2021|J.Org.Chem.|86|16652|doi:10.1021/acs.joc.1c01927
DOI: 10.5517/ccdc.csd.cc28gnhx
title: CCDC 2099459: Experimental Crystal Structure Determination

description: Related Article: Salam Maloul, Matthias Borg, Carolin Müller, Linda Zedler, Alexander K. Mengele, Daniel Gaissmaier, Timo Jacob, Sven Rau, Benjamin Dietzek-Ivanšić, Carsten Streb|2021|Chem.-Eur.J.|27|16846|doi:10.1002/chem.202103817
DOI: 10.5517/ccdc.csd.cc28gnjy
title: CCDC 2099460: Experimental Crystal Structure Determination

description: Related Article: Salam Maloul, Matthias Borg, Carolin Müller, Linda Zedler, Alexander K. Mengele, Daniel Gaissmaier, Timo Jacob, Sven Rau, Benjamin Dietzek-Ivanšić, Carsten Streb|2021|Chem.-Eur.J.|27|16846|doi:10.1002/chem.202103817
DOI: 10.5517/ccdc.csd.cc28p95g
title: CCDC 2105835: Experimental Crystal Structure Determination

description: Related Article: Kai-Stephan Feichtner, Lennart T. Scharf, Thorsten Scherpf, Bert Mallick, Nils Boysen, Viktoria H. Gessner|2021|Chem.-Eur.J.|27|17351|doi:10.1002/chem.202103151
DOI: 10.5517/ccdc.csd.cc28p96h
title: CCDC 2105836: Experimental Crystal Structure Determination

description: Related Article: Kai-Stephan Feichtner, Lennart T. Scharf, Thorsten Scherpf, Bert Mallick, Nils Boysen, Viktoria H. Gessner|2021|Chem.-Eur.J.|27|17351|doi:10.1002/chem.202103151
DOI: 10.5517/ccdc.csd.cc28p97j
title: CCDC 2105837: Experimental Crystal Structure Determination

description: Related Article: Kai-Stephan Feichtner, Lennart T. Scharf, Thorsten Scherpf, Bert Mallick, Nils Boysen, Viktoria H. Gessner|2021|Chem.-Eur.J.|27|17351|doi:10.1002/chem.202103151
DOI: 10.5517/ccdc.csd.cc28p98k
title: CCDC 2105838: Experimental Crystal Structure Determination

description: Related Article: Kai-Stephan Feichtner, Lennart T. Scharf, Thorsten Scherpf, Bert Mallick, Nils Boysen, Viktoria H. Gessner|2021|Chem.-Eur.J.|27|17351|doi:10.1002/chem.202103151
DOI: 10.5517/ccdc.csd.cc28p99l
title: CCDC 2105839: Experimental Crystal Structure Determination

description: Related Article: Kai-Stephan Feichtner, Lennart T. Scharf, Thorsten Scherpf, Bert Mallick, Nils Boysen, Viktoria H. Gessner|2021|Chem.-Eur.J.|27|17351|doi:10.1002/chem.202103151
DOI: 10.5517/ccdc.csd.cc28t5bm
title: CCDC 2109560: Experimental Crystal Structure Determination

description: Related Article: Matthew M. D. Roy, Andreas Heilmann, Mathias A. Ellwanger, Simon Aldridge|2021|Angew.Chem.,Int.Ed.|60|26550|doi:10.1002/anie.202112515
DOI: 10.5517/ccdc.csd.cc28t5dp
title: CCDC 2109562: Experimental Crystal Structure Determination

description: Related Article: Matthew M. D. Roy, Andreas Heilmann, Mathias A. Ellwanger, Simon Aldridge|2021|Angew.Chem.,Int.Ed.|60|26550|doi:10.1002/anie.202112515
DOI: 10.5517/ccdc.csd.cc28t5fq
title: CCDC 2109563: Experimental Crystal Structure Determination

description: Related Article: Matthew M. D. Roy, Andreas Heilmann, Mathias A. Ellwanger, Simon Aldridge|2021|Angew.Chem.,Int.Ed.|60|26550|doi:10.1002/anie.202112515
DOI: 10.5517/ccdc.csd.cc28w0ls
title: CCDC 2111335: Experimental Crystal Structure Determination

description: Related Article: Semyon V. Tsybulin, Alexander F. Pozharskii, Ekaterina A. Filatova, Valery A. Ozeryanskii, Anna V. Gulevskaya, Dmitrii Y. Smolyak, Darya V. Spiridonova|2021|Cryst.Growth Des.|21|7247|doi:10.1021/acs.cgd.1c01100
DOI: 10.5517/ccdc.csd.cc28w0mt
title: CCDC 2111336: Experimental Crystal Structure Determination

description: Related Article: Semyon V. Tsybulin, Alexander F. Pozharskii, Ekaterina A. Filatova, Valery A. Ozeryanskii, Anna V. Gulevskaya, Dmitrii Y. Smolyak, Darya V. Spiridonova|2021|Cryst.Growth Des.|21|7247|doi:10.1021/acs.cgd.1c01100
DOI: 10.5517/ccdc.csd.cc28w0nv
title: CCDC 2111337: Experimental Crystal Structure Determination

description: Related Article: Semyon V. Tsybulin, Alexander F. Pozharskii, Ekaterina A. Filatova, Valery A. Ozeryanskii, Anna V. Gulevskaya, Dmitrii Y. Smolyak, Darya V. Spiridonova|2021|Cryst.Growth Des.|21|7247|doi:10.1021/acs.cgd.1c01100
DOI: 10.6084/m9.figshare.17169092
title: COVIDCare Supp Materials

description: Supplementary material to accompany TAPS manuscript
DOI: 10.6084/m9.figshare.17169092.v1
title: COVIDCare Supp Materials

description: Supplementary material to accompany TAPS manuscript
DOI: 10.6084/m9.figshare.14767518
title: Flow cytometry data (Data plots)

description: These data are the flow cytometry replicates for the experiments presented in the linked manuscript.
DOI: 10.6084/m9.figshare.14767518.v1
title: Flow cytometry data (Data plots)

description: These data are the flow cytometry replicates for the experiments presented in the linked manuscript.
DOI: 10.6084/m9.figshare.15060705
title: Master_PDGFRA_flow_table_numerical.xlsx

description: This table lists the numerical values for flow cytometry experiments performed in the associated study. <br>These data are the numerical values for every flow cytometry measurement (including every replicate) and are linked by page number (final column) to the sample-matched accompanying graphical data.
DOI: 10.6084/m9.figshare.15060705.v2
title: Master_PDGFRA_flow_table_numerical.xlsx

description: This table lists the numerical values for flow cytometry experiments performed in the associated study. <br>These data are the numerical values for every flow cytometry measurement (including every replicate) and are linked by page number (final column) to the sample-matched accompanying graphical data.
DOI: 10.6084/m9.figshare.15060705.v1
title: Master_PDGFRA_flow_table_numerical.xlsx

description: This table lists the numerical values for flow cytometry experiments performed in the associated study. <br>These data are the numerical values for every flow cytometry measurement (including every replicate) and are linked by page number (final column) to the sample-matched accompanying graphical data.
DOI: 10.34740/kaggle/dsv/2919653
title: Cryptocurrency extra data - Binance Coin
DOI: 10.5281/zenodo.5771491
title: MicroED datasets of biotin collected on Titan Krios G4 operated at 300kV and Ceta-D camera

description: MicroED datasets of biotin microcrystals were collected using Titan Krios G4 (300 kV) with the CMOS camera Ceta-D. The stage was controlled using SerialEM and diffraction images were independently collected using Velox software. For this reason, only frames with constant rotation speed should be used for data processing. Rotation step (continuous) was ~0.96°/frame and each dataset consisted of ~63 images (tilt range is +/-30°). The calibrated camera lengths using evaporated aluminum were 751.09 mm, 952.85 mm, and 1075.09 mm, corresponding to nominal lengths of 430 mm, 540 mm, and 610 mm, respectively. Biotin crystals belonged to space group <em>P</em>2<sub>1</sub>2<sub>1</sub>2<sub>1</sub> with a~5.2, b~10.2, c~20.8 Å, and could be merged at ~0.6 Å resolution. Collection conditions: gun lens 5, spot 11, C2 aperture 20, beam size 1.5 μm, 0.033 e/Å<sup>2</sup>/sec Note: emd files (hdf5 format) were transparently compressed using h5repack -f SHUF -f GZIP=4 command to reduce file size. EMD file can be processed with DIALS using this dxtbx format file. Metadata (machine parameters, stage tilt angles etc.) is stored as json format in /Data/Image/*/Metadata in emd file. See here for details. If you want to process data using DIALS, please see the processing note.
DOI: 10.5281/zenodo.5771490
title: MicroED datasets of biotin collected on Titan Krios G4 operated at 300kV and Ceta-D camera

description: MicroED datasets of biotin microcrystals were collected using Titan Krios G4 (300 kV) with the CMOS camera Ceta-D. The stage was controlled using SerialEM and diffraction images were independently collected using Velox software. For this reason, only frames with constant rotation speed should be used for data processing. Rotation step (continuous) was ~0.96°/frame and each dataset consisted of ~63 images (tilt range is +/-30°). The calibrated camera lengths using evaporated aluminum were 751.09 mm, 952.85 mm, and 1075.09 mm, corresponding to nominal lengths of 430 mm, 540 mm, and 610 mm, respectively. Biotin crystals belonged to space group <em>P</em>2<sub>1</sub>2<sub>1</sub>2<sub>1</sub> with a~5.2, b~10.2, c~20.8 Å, and could be merged at ~0.6 Å resolution. Collection conditions: gun lens 5, spot 11, C2 aperture 20, beam size 1.5 μm, 0.033 e/Å<sup>2</sup>/sec Note: emd files (hdf5 format) were transparently compressed using h5repack -f SHUF -f GZIP=4 command to reduce file size. EMD file can be processed with DIALS using this dxtbx format file. Metadata (machine parameters, stage tilt angles etc.) is stored as json format in /Data/Image/*/Metadata in emd file. See here for details. If you want to process data using DIALS, please see the processing note.
DOI: 10.17632/55jgy7zj3t.1
title: Data for "Come with me if you want to live: sympatric parasites follow different transmission routes through aquatic host communities"

description: Full dataset of hairworm (phylum Nematomorpha) cysts or larvae counted in aquatic macroinvertebrates collected in Surber samples and terrestrial insects captured in Malaise traps, during three consecutive seasons in two subalpine regions of New Zealand.
DOI: 10.17632/ydd8x58k46.1
title: DOC, major and trace element concentrations in the peat porewater of western Siberia

description: Full data set of measured DOC, major and trace element concentrations  (< 0.45 µm and < 3 kDa) in the peat poreater from the active and ice from frozen layer in all sites and different sampling depths
DOI: 10.5517/ccdc.csd.cc28w17g
title: CCDC 2111355: Experimental Crystal Structure Determination

description: Related Article: Xianghua Zeng, Yuhai Xu, Jiawei Liu, Yuanyuan Deng|2021|Org.Lett.|23|9058|doi:10.1021/acs.orglett.1c03305
DOI: 10.5517/ccdc.csd.cc28w18h
title: CCDC 2111356: Experimental Crystal Structure Determination

description: Related Article: Xianghua Zeng, Yuhai Xu, Jiawei Liu, Yuanyuan Deng|2021|Org.Lett.|23|9058|doi:10.1021/acs.orglett.1c03305
DOI: 10.6084/m9.figshare.16945759
title: COVIDCare Raw Data

description: COVIDCare raw data results exported from Qualtrics.
DOI: 10.6084/m9.figshare.16945759.v2
title: COVIDCare Raw Data

description: COVIDCare raw data results exported from Qualtrics.
DOI: 10.6084/m9.figshare.16945759.v1
title: COVIDCare Raw Data

description: COVIDCare raw data results exported from Qualtrics.
DOI: 10.5281/zenodo.5775211
title: Code repository that supports the research presented in the paper "The gender gap in higher STEM studies: a Systematic Literature Review"

description: Resources for the Systematic Literature Review (SLR) carries out as part of PhD thesis about the gender gap in STEM studies in higher education by Sonia Verdugo-Castro and supervised by Alicia García-Holgado and Mª Cruz Sánchez Gómez. The SLR covers papers in WoS and Scopus from 2015 to 2021. All the papers retrieved and the different steps in the SLR selection process are contained and documented in: https://docs.google.com/spreadsheets/d/1ldml-Mg-oguX9gXayllojBRtZ1kjdD4WRSqYwf1yZ0o/edit?usp=sharing
DOI: 10.5281/zenodo.5775210
title: Code repository that supports the research presented in the paper "The gender gap in higher STEM studies: a Systematic Literature Review"

description: Resources for the Systematic Literature Review (SLR) carries out as part of PhD thesis about the gender gap in STEM studies in higher education by Sonia Verdugo-Castro and supervised by Alicia García-Holgado and Mª Cruz Sánchez Gómez. The SLR covers papers in WoS and Scopus from 2015 to 2021. All the papers retrieved and the different steps in the SLR selection process are contained and documented in: https://docs.google.com/spreadsheets/d/1ldml-Mg-oguX9gXayllojBRtZ1kjdD4WRSqYwf1yZ0o/edit?usp=sharing
DOI: 10.6084/m9.figshare.17121275
title: Example data recorded from mice with USVCAM (video and 4-ch ultrasound audio)

description: An example data for testing USVCAM analysis functions (https://github.com/MatsumotoJ/usvcam). Strain: ICR.
DOI: 10.34740/kaggle/dsv/2919741
title: Cryptocurrency extra data - Bitcoin
DOI: 10.5281/zenodo.5775213
title: Supplementary data

description: Supplementary data
DOI: 10.5281/zenodo.5775212
title: Supplementary data

description: Supplementary data
DOI: 10.5281/zenodo.5775214
title: Database of a pilot USF developed in the Flexsim Healthcare program.

description: The database presented is included in my master's thesis project. This includes data from simulated query times over a year. Five different tables (0, 1, 2, 3 and 4) are presented with the application of different variations in patient arrivals and time of appointments.
DOI: 10.5281/zenodo.5701511
title: Database of a pilot USF developed in the Flexsim Healthcare program.

description: The database presented is included in my master's thesis project. This includes data from simulated query times over a year. Five different tables (0, 1, 2, 3 and 4) are presented with the application of different variations in patient arrivals and time of appointments.
DOI: 10.5281/zenodo.5773420
title: AHI-CALIOP Collocated Data for Training and Validation of Cloud Masking Neural Networks

description: Collocated data between AHI at 2km resolution (nadir) and CALIOP 1km cloud product v4.20 used for training and validating cloud identification neural networks. The main training and validation data from 2019 is stored in monthly directories, whilst the collocated dataset used to compare the NN, JMA and BoM cloud mask performances is the file "superdf.h5". All collocated data is stored as .h5 files and was built using the Python Pandas package. In this archive, the data has been stored as compressed directories for each month or as a single compressed file in the case of "superdf.h5" using tar with bzip2 compression or just bzip2 compression respectively.
DOI: 10.5281/zenodo.5773419
title: AHI-CALIOP Collocated Data for Training and Validation of Cloud Masking Neural Networks

description: Collocated data between AHI at 2km resolution (nadir) and CALIOP 1km cloud product v4.20 used for training and validating cloud identification neural networks. The main training and validation data from 2019 is stored in monthly directories, whilst the collocated dataset used to compare the NN, JMA and BoM cloud mask performances is the file "superdf.h5". All collocated data is stored as .h5 files and was built using the Python Pandas package. In this archive, the data has been stored as compressed directories for each month or as a single compressed file in the case of "superdf.h5" using tar with bzip2 compression or just bzip2 compression respectively.
DOI: 10.5281/zenodo.5775219
title: Estimulação Transcraniana por Corrente Contínua de Alta Definição no Tratamento da Dor Neuropática por Traumatismo do Plexo braquial: um Estudo Piloto Randomizado

description: Arquivo do programa de computador SPSS com dados da linha da base da pesquisa registrada na plataforma ClinicalTrials sob o número: RBR=7fnwdr4
DOI: 10.5281/zenodo.5775218
title: Estimulação Transcraniana por Corrente Contínua de Alta Definição no Tratamento da Dor Neuropática por Traumatismo do Plexo braquial: um Estudo Piloto Randomizado

description: Arquivo do programa de computador SPSS com dados da linha da base da pesquisa registrada na plataforma ClinicalTrials sob o número: RBR=7fnwdr4
DOI: 10.34740/kaggle/dsv/2919839
title: Cryptocurrency extra data - EOS.IO
DOI: 10.5281/zenodo.5775255
title: metanovas_interview

description: Interview sample data for Metanovas Biotech. Data comes from ChEMBL
DOI: 10.5281/zenodo.5775254
title: metanovas_interview

description: Interview sample data for Metanovas Biotech. Data comes from ChEMBL
DOI: 10.6084/m9.figshare.17169227
title: MS-Date.xlsx

description: data for manuscript
DOI: 10.6084/m9.figshare.17169227.v1
title: MS-Date.xlsx

description: data for manuscript
DOI: 10.3886/e119865
title: Data and Code for: Small and Large Firms over the Business Cycle

description: This paper uses new confidential Census data to revisit the relationship between firm size, cyclicality, and financial frictions. First, we find that large firms (the top 1% by size) are less cyclically sensitive than the rest. Second, high and rising concentration implies that the higher cyclicality of the bottom 99% of firms only has a modest impact on aggregate fluctuations. Third, differences in cyclicality are not simply explained by financing, and in fact appear largely unrelated to proxies for financial strength. We instead provide evidence for an alternative mechanism based on the industry scope of the very largest firms.
description: Weights internally developed by Census and made available to the researchers as part of the primary data are used in the analysis. More information on sampling frame and sampling methodology are available at https://www.census.gov/econ/qfr/collection.html
description: Response Rates: Varies over time; documented in the QFR press releases, available at https://www.census.gov/econ/qfr/.
description: Presence of Common Scales: n.a.
description: The QFR target population consists of all corporations engaged primarily in manufacturing with total assets of $250,000 and over, and all corporations engaged primarily in mining; wholesale trade; retail trade; information; or professional and technical services (except legal services) industries with total assets of $50 million and over. More information on sampling frame and sampling methodology are available at https://www.census.gov/econ/qfr/collection.html
description: US manufacturing firms with more than $250k in assets, 1977-2014; US retail and trade firms with more than $50m in assets, 1977-2014. Smallest Geographic Unit: USA
description: mail questionnaire; record abstracts;
DOI: 10.3886/e119865v2
title: Data and Code for: Small and Large Firms over the Business Cycle

description: This paper uses new confidential Census data to revisit the relationship between firm size, cyclicality, and financial frictions. First, we find that large firms (the top 1% by size) are less cyclically sensitive than the rest. Second, high and rising concentration implies that the higher cyclicality of the bottom 99% of firms only has a modest impact on aggregate fluctuations. Third, differences in cyclicality are not simply explained by financing, and in fact appear largely unrelated to proxies for financial strength. We instead provide evidence for an alternative mechanism based on the industry scope of the very largest firms.
description: Weights internally developed by Census and made available to the researchers as part of the primary data are used in the analysis. More information on sampling frame and sampling methodology are available at https://www.census.gov/econ/qfr/collection.html
description: Response Rates: Varies over time; documented in the QFR press releases, available at https://www.census.gov/econ/qfr/.
description: Presence of Common Scales: n.a.
description: The QFR target population consists of all corporations engaged primarily in manufacturing with total assets of $250,000 and over, and all corporations engaged primarily in mining; wholesale trade; retail trade; information; or professional and technical services (except legal services) industries with total assets of $50 million and over. More information on sampling frame and sampling methodology are available at https://www.census.gov/econ/qfr/collection.html
description: US manufacturing firms with more than $250k in assets, 1977-2014; US retail and trade firms with more than $50m in assets, 1977-2014. Smallest Geographic Unit: USA
description: mail questionnaire; record abstracts;
DOI: 10.21227/w36q-rt54
title: Neck-like features

description: This is the supplemental material to the paper "fast computation of neck-like features".
DOI: 10.6084/m9.figshare.17169326.v1
title: Untitled Item

description: To the Editorial Board of <i>The Journal of Clinical Endocrinology & Metabolism</i>December 12th, 2021
DOI: 10.6084/m9.figshare.17169326
title: Untitled Item

description: To the Editorial Board of <i>The Journal of Clinical Endocrinology & Metabolism</i>December 12th, 2021
DOI: 10.6084/m9.figshare.17169326.v3
title: Untitled Item

description: To the Editorial Board of <i>The Journal of Clinical Endocrinology & Metabolism</i>December 12th, 2021