cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.18739/a28w38369
title: Cloud and Aerosol Polarization and Backscatter LiDAR measurements taken at Summit Station, Greenland, 2020

description: This data set contains measurements from a Cloud and Aerosol Polarization and Backscatter LiDAR (CAPABL) that is deployed at Summit Station, Greenland as part of the Integrated Characterization of Energy, Clouds, Atmospheric state, and Precipitation at Summit (ICECAPS) Project. This LiDAR points near-vertically and measures backscatter in three polarization states. Parameters include: backscatter in the parallel channel, the depolarization ratio, and the diattenuation. Detailed information on these parameters and other aspects of the dataset are included in the netCDF header information for each file. The LiDAR is owned by the National Oceanic and Atmospheric Administration's Earth System Research Laboratory. Field operations support is provided by the National Science Foundation's Arctic Observing Network (AON) Program.
DOI: 10.5517/ccdc.csd.cc25xvts
title: CCDC 2023736: Experimental Crystal Structure Determination

description: Related Article: Carlos Romero-Nieto, A. de Cózar, Elzbieta Regulska, John B. Mullenix, Frank Rominger, Philip Hindenberg|2021|Chem.Commun.|57|7366|doi:10.1039/D1CC01700D
DOI: 10.5517/ccdc.csd.cc25xvvt
title: CCDC 2023737: Experimental Crystal Structure Determination

description: Related Article: Carlos Romero-Nieto, A. de Cózar, Elzbieta Regulska, John B. Mullenix, Frank Rominger, Philip Hindenberg|2021|Chem.Commun.|57|7366|doi:10.1039/D1CC01700D
DOI: 10.5517/ccdc.csd.cc278jln
title: CCDC 2063781: Experimental Crystal Structure Determination

description: Related Article: Jingran Zhang, Ayesha Jalil, Jiaxin He, Zhenyang Yu, Yifu Cheng, Guangchen Li, Yunfei Du, Kang Zhao|2021|Chem.Commun.|57|7426|doi:10.1039/D1CC03110D
DOI: 10.5517/ccdc.csd.cc27pfky
title: CCDC 2076180: Experimental Crystal Structure Determination

description: Related Article: Xiao Hu, Aishun Ding, Dawen Xu, Hao Guo|2021|Chem.Commun.|57|7441|doi:10.1039/D1CC02696H
DOI: 10.5517/ccdc.csd.cc27q5gm
title: CCDC 2076890: Experimental Crystal Structure Determination

description: Related Article: Xiao Hu, Aishun Ding, Dawen Xu, Hao Guo|2021|Chem.Commun.|57|7441|doi:10.1039/D1CC02696H
DOI: 10.5517/ccdc.csd.cc27q5hn
title: CCDC 2076891: Experimental Crystal Structure Determination

description: Related Article: Xiao Hu, Aishun Ding, Dawen Xu, Hao Guo|2021|Chem.Commun.|57|7441|doi:10.1039/D1CC02696H
DOI: 10.5517/ccdc.csd.cc27xl6z
title: CCDC 2083051: Experimental Crystal Structure Determination

description: Related Article: William Riley, Andrew C. Jones, Kuldip Singh, Duncan L. Browne, Alison M. Stuart|2021|Chem.Commun.|57|7406|doi:10.1039/D1CC02587B
DOI: 10.5517/ccdc.csd.cc27xl70
title: CCDC 2083052: Experimental Crystal Structure Determination

description: Related Article: William Riley, Andrew C. Jones, Kuldip Singh, Duncan L. Browne, Alison M. Stuart|2021|Chem.Commun.|57|7406|doi:10.1039/D1CC02587B
DOI: 10.5517/ccdc.csd.cc27xl81
title: CCDC 2083053: Experimental Crystal Structure Determination

description: Related Article: William Riley, Andrew C. Jones, Kuldip Singh, Duncan L. Browne, Alison M. Stuart|2021|Chem.Commun.|57|7406|doi:10.1039/D1CC02587B
DOI: 10.5517/ccdc.csd.cc27xl92
title: CCDC 2083054: Experimental Crystal Structure Determination

description: Related Article: William Riley, Andrew C. Jones, Kuldip Singh, Duncan L. Browne, Alison M. Stuart|2021|Chem.Commun.|57|7406|doi:10.1039/D1CC02587B
DOI: 10.5517/ccdc.csd.cc27xlb3
title: CCDC 2083055: Experimental Crystal Structure Determination

description: Related Article: William Riley, Andrew C. Jones, Kuldip Singh, Duncan L. Browne, Alison M. Stuart|2021|Chem.Commun.|57|7406|doi:10.1039/D1CC02587B
DOI: 10.5517/ccdc.csd.cc27xlc4
title: CCDC 2083056: Experimental Crystal Structure Determination

description: Related Article: William Riley, Andrew C. Jones, Kuldip Singh, Duncan L. Browne, Alison M. Stuart|2021|Chem.Commun.|57|7406|doi:10.1039/D1CC02587B
DOI: 10.5517/ccdc.csd.cc25xvsr
title: CCDC 2023735: Experimental Crystal Structure Determination

description: Related Article: Carlos Romero-Nieto, A. de Cózar, Elzbieta Regulska, John B. Mullenix, Frank Rominger, Philip Hindenberg|2021|Chem.Commun.|57|7366|doi:10.1039/D1CC01700D
DOI: 10.5517/ccdc.csd.cc28169v
title: CCDC 2086526: Experimental Crystal Structure Determination

description: Related Article: Andreas Boelke, Soleicha Sadat, Enno Lork, Boris J. Nachtsheim|2021|Chem.Commun.|57|7434|doi:10.1039/D1CC03097C
DOI: 10.5517/ccdc.csd.cc28fn0d
title: CCDC 2098483: Experimental Crystal Structure Determination

description: Related Article: Petr Brázda, Lukáš Palatinus, Martin Babor|2019|Science|364|667|doi:10.1126/science.aaw2560
DOI: 10.18739/a21c1tg8q
title: Micropulse lidar (MPL) measurements taken at Summit Station, Greenland, 2020

description: This data set contains measurements from a MicroPulse LIDAR (MPL) that is deployed at Summit Station, Greenland as part of the Integrated Characterization of Energy, Clouds, Atmospheric state, and Precipitation at Summit (ICECAPS) Project. Detailed information on these parameters and other aspects of the dataset are included in the netCDF header information for each file. The LIDAR is owned by the US Department of Energy's Atmospheric Radiation Measurement (ARM) Program. Field operations support is provided by the National Science Foundation's Arctic Observing Network (AON) Program. Together these products will augment similar data sets that are produced at other locations across the Arctic.
DOI: 10.5519/qd.e0iu6aab
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (53 records)
DOI: 10.18739/a2wm13v46
title: SOnic Detection And Ranging (SODAR) measurements taken at Summit Station, Greenland, 2021

description: This data set contains measurements from a sodar that is deployed at Summit Station, Greenland as part of the Integrated Characterization of Energy, Clouds, Atmospheric state, and Precipitation at Summit (ICECAPS) Project. This sodar operates at 2100 Hz and points vertically. Reflectivity measurements from the system are used to characterize gradients in the lower atmosphere that provide information on the boundary layer depth. Data files including the relative backscatter. Detailed information on file parameters and other aspects of the dataset are included in the netCDF header information for each file. The sodar is owned by the National Oceanic and Atmospheric Administrations's Earth System Research Laboratory. Field operations are supported by the National Science Foundation's Arctic Observing Network (AON) Program.
DOI: 10.18739/a2rx93f37
title: Radiosonde temperature and humidity profiles taken at Summit Station, Greenland, 2021

description: This data set contains profiles of temperature and humidity observed by Vaisala radiosondes that are launched nominally twice daily at Summit Station, Greenland as part of the Integrated Characterization of Energy, Clouds, Atmospheric state, and Precipitation at Summit (ICECAPS) Project. These radiosonde measurements did not initially contain wind tracking information, but transitioned towards including wind tracking in one sonde per data starting in 7/2011, then moving to twice-daily wind sondes in 6/2014. The data are processed using the standard Vaisala processing software. Detailed information on these parameters and other aspects of the dataset are included in the netCDF header information for each file.
DOI: 10.18739/a2hd7nt64
title: Millimeter Cloud Radar measurements taken at Summit Station, Greenland, 2021

description: This data set contains measurements from a Millimeter Cloud Radar (MMCR) that is deployed at Summit Station, Greenland as part of the Integrated Characterization of Energy, Clouds, Atmospheric state, and Precipitation at Summit (ICECAPS) Project. The MMCR points near-vertically and provides estimates of radar reflectivity, mean Doppler velocity, and Doppler spectrum width, as well as full Doppler spectra. Detailed information on these parameters and other aspects of the dataset are included in the netCDF header information for each file. The MMCR is owned by the National Oceanic and Atmospheric Administration, Earth System Research Laboratory. Field operations support is provided by the National Science Foundation's Arctic Observing Network (AON) Program.
DOI: 10.18739/a2cn6z11x
title: Cloud and Aerosol Polarization and Backscatter LiDAR measurements taken at Summit Station, Greenland, 2021

description: This data set contains measurements from a Cloud and Aerosol Polarization and Backscatter LiDAR (CAPABL) that is deployed at Summit Station, Greenland as part of the Integrated Characterization of Energy, Clouds, Atmospheric state, and Precipitation at Summit (ICECAPS) Project. This LiDAR points near-vertically and measures backscatter in three polarization states. Parameters include: backscatter in the parallel channel, the depolarization ratio, and the diattenuation. Detailed information on these parameters and other aspects of the dataset are included in the netCDF header information for each file. The LiDAR is owned by the National Oceanic and Atmospheric Administration's Earth System Research Laboratory. Field operations support is provided by the National Science Foundation's Arctic Observing Network (AON) Program.
DOI: 10.18739/a27w6767j
title: Micropulse lidar (MPL) measurements taken at Summit Station, Greenland, 2021

description: This data set contains measurements from a MicroPulse LIDAR (MPL) that is deployed at Summit Station, Greenland as part of the Integrated Characterization of Energy, Clouds, Atmospheric state, and Precipitation at Summit (ICECAPS) Project. Detailed information on these parameters and other aspects of the dataset are included in the netCDF header information for each file. The LIDAR is owned by the US Department of Energy's Atmospheric Radiation Measurement (ARM) Program. Field operations support is provided by the National Science Foundation's Arctic Observing Network (AON) Program. Together these products will augment similar data sets that are produced at other locations across the Arctic.
DOI: 10.6084/m9.figshare.15057849.v2
title: Data from: One Hundred Years of Rare Disaster Concerns and Commodity Prices

description: This paper shows that rare disaster concern, defined as the news implied volatility, performs very well at predicting the return of index commodity futures throughout the whole century (1926-2016). This result holds after controlling for the current business cycle conditions, the macroeconomic variables, and the VIX. We also find that rare disaster concern performs very well at predicting index commodity futures returns out-of-sample. The results remain robust while considering different macroeconomic conditions, such as recession (expansion), contango (backwardation), or inflation up (down).<br>This excel document contains the main data for the paper: "One Hundred Years of Rare Disaster Concerns and Commodity Prices". Commodity returns data is from Levine, Ooi, Richardson, and Sasseville (2018), https://doi.org/10.2469/faj.v74.n2.4The Matlab code for result replication is available at Qunzi Zhang's website:https://sites.google.com/site/zhangqunzi/
DOI: 10.6084/m9.figshare.15057849
title: Data from: One Hundred Years of Rare Disaster Concerns and Commodity Prices

description: This paper shows that rare disaster concern, defined as the news implied volatility, performs very well at predicting the return of index commodity futures throughout the whole century (1926-2016). This result holds after controlling for the current business cycle conditions, the macroeconomic variables, and the VIX. We also find that rare disaster concern performs very well at predicting index commodity futures returns out-of-sample. The results remain robust while considering different macroeconomic conditions, such as recession (expansion), contango (backwardation), or inflation up (down).<br>This excel document contains the main data for the paper: "One Hundred Years of Rare Disaster Concerns and Commodity Prices". Commodity returns data is from Levine, Ooi, Richardson, and Sasseville (2018), https://doi.org/10.2469/faj.v74.n2.4The Matlab code for result replication is available at Qunzi Zhang's website:https://sites.google.com/site/zhangqunzi/
DOI: 10.6084/m9.figshare.15062889.v1
title: Linux practice items

description: Item for Linux scripting practice<br>
DOI: 10.6084/m9.figshare.15057849.v1
title: Data from: One Hundred Years of Rare Disaster Concerns and Commodity Prices

description: This paper shows that rare disaster concern, defined as the news implied volatility, performs very well at predicting the return of index commodity futures throughout the whole century (1926-2016). This result holds after controlling for the current business cycle conditions, the macroeconomic variables, and the VIX. We also find that rare disaster concern performs very well at predicting index commodity futures returns out-of-sample. The results remain robust while considering different macroeconomic conditions, such as recession (expansion), contango (backwardation), or inflation up (down).<br>This excel document contains the main data for the paper: "One Hundred Years of Rare Disaster Concerns and Commodity Prices". Commodity returns data is from Levine, Ooi, Richardson, and Sasseville (2018), https://doi.org/10.2469/faj.v74.n2.4The Matlab code for result replication is available at Qunzi Zhang's website:https://sites.google.com/site/zhangqunzi/
DOI: 10.6084/m9.figshare.15062889
title: Linux practice items

description: Item for Linux scripting practice<br>
DOI: 10.5281/zenodo.5140552
title: Highlighting altruism in geoscience careers aligns with diverse US student ideals better than emphasizing working outdoors

description: We surveyed students enrolled in College Algebra at a large, urban, Hispanic-serving, R-1 public university in the southwestern United States. The data span five semesters, from Fall 2018 through Spring 2020. The survey was composed of demographic questions as well as questions using the Likert scale, in which students rated how much they agreed or disagreed with a particular statement regarding descriptions of their “ideal career.” Students were also asked to rate statements about careers in different science fields and engineering. Demographic questions were included at the end of the survey in order to mitigate stereotype threat. Our study tests (i) whether altruistic factors, personal achievement, or work environment are most important to college students (early in their undergraduate program) for their future careers, (ii) whether the ratings of these ideals differ between male/female, URM/non-URM, and first-generation/non-first-generation college students, and (iii) how student perceptions of the geosciences are in regard to those ideals compared to other STEM fields.
DOI: 10.5281/zenodo.5140551
title: Highlighting altruism in geoscience careers aligns with diverse US student ideals better than emphasizing working outdoors

description: We surveyed students enrolled in College Algebra at a large, urban, Hispanic-serving, R-1 public university in the southwestern United States. The data span five semesters, from Fall 2018 through Spring 2020. The survey was composed of demographic questions as well as questions using the Likert scale, in which students rated how much they agreed or disagreed with a particular statement regarding descriptions of their “ideal career.” Students were also asked to rate statements about careers in different science fields and engineering. Demographic questions were included at the end of the survey in order to mitigate stereotype threat. Our study tests (i) whether altruistic factors, personal achievement, or work environment are most important to college students (early in their undergraduate program) for their future careers, (ii) whether the ratings of these ideals differ between male/female, URM/non-URM, and first-generation/non-first-generation college students, and (iii) how student perceptions of the geosciences are in regard to those ideals compared to other STEM fields.
DOI: 10.17632/w26rs2jrbb.1
title: Data for: U- and Th- series disequilibria in separated soil mineral fractions: insight into the mechanism and timescale of U, Th and Ra redistribution

description: Data of concentrations and activities in the soil and the separated fractions
DOI: 10.5281/zenodo.4961355
title: Ocean bottom pressure data of the 2016 Off-Fukushima earthquake obtained by Tohoku University

description: This dataset contains the ocean bottom pressure data during the Off-Fukushima earthquake on November 21, 2016 obtained by Tohoku University. The CSV format file contains the location of the observation stations and the pressure data. The data archived here is a set of the OBP waveform data used in the paper "Improving the constraint on the Mw 7.1 2016 off-Fukushima shallow normal-faulting earthquake with the high azimuthal coverage tsunami data from the S-net wide and dense network: Implication for the stress regime in the Tohoku overriding plate" by Kubota T., et al. (https://doi.org/10.1002/essoar.10506788.1).
description: The seafloor pressure observation was made under the support of JSPS Kakenhi JP26000002. Ocean Bottom Pressure Recorders (OBPRs) were deployed/recovered during the following research cruises: KS16-14 and KS17-13 (R/V Shinsei-maru, JAMSTEC), RF16-04 and RF17-04 (R/V Ryofu-maru, JMA), KS17-07 (R/V Keifu-maru, JMA). Seafloor pressure is measured by Paroscientific depth sensor 8B7000 and continuously recorded every 1 sec. Clock drift of all the OBPR data are corrected for. Time stamps are given in UT.
DOI: 10.5281/zenodo.4961354
title: Ocean bottom pressure data of the 2016 Off-Fukushima earthquake obtained by Tohoku University

description: This dataset contains the ocean bottom pressure data during the Off-Fukushima earthquake on November 21, 2016 obtained by Tohoku University. The CSV format file contains the location of the observation stations and the pressure data. The data archived here is a set of the OBP waveform data used in the paper "Improving the constraint on the Mw 7.1 2016 off-Fukushima shallow normal-faulting earthquake with the high azimuthal coverage tsunami data from the S-net wide and dense network: Implication for the stress regime in the Tohoku overriding plate" by Kubota T., et al. (https://doi.org/10.1002/essoar.10506788.1).
description: The seafloor pressure observation was made under the support of JSPS Kakenhi JP26000002. Ocean Bottom Pressure Recorders (OBPRs) were deployed/recovered during the following research cruises: KS16-14 and KS17-13 (R/V Shinsei-maru, JAMSTEC), RF16-04 and RF17-04 (R/V Ryofu-maru, JMA), KS17-07 (R/V Keifu-maru, JMA). Seafloor pressure is measured by Paroscientific depth sensor 8B7000 and continuously recorded every 1 sec. Clock drift of all the OBPR data are corrected for. Time stamps are given in UT.
DOI: 10.5281/zenodo.5140495
title: Dataset - Lagain et al., 2021. Latitudinal dependency of the impact rate: any room for a recalibration of crater chronologies ?

description: data related to the following article: Lagain A. et al. (2021). Latitudinal dependency of the impact rate: any room for a recalibration of crater chronologies ? submitted to <em>EPSL </em>(July 2021).
DOI: 10.5281/zenodo.5140494
title: Dataset - Lagain et al., 2021. Latitudinal dependency of the impact rate: any room for a recalibration of crater chronologies ?

description: data related to the following article: Lagain A. et al. (2021). Latitudinal dependency of the impact rate: any room for a recalibration of crater chronologies ? submitted to <em>EPSL </em>(July 2021).
DOI: 10.5281/zenodo.5140562
title: CoVaxxy Tweet IDs data set

description: A collection of Tweet IDs related to Covid-19 Vaccines, gathered from Twitter since Jan 4, 2021. Please see https://arxiv.org/abs/2101.07694 for more information.
DOI: 10.5281/zenodo.5140570
title: Supplementary material_Paleoenvironment of the Cerro Negro Formation (Aptian, Early Cretaceous) of Snow Island, Antarctic Peninsula

description: Supplementary material of the article entitled "Paleoenvironment of the Cerro Negro Formation (Aptian, Early Cretaceous) of Snow Island, Antarctic Peninsula", submitted to Anais da Academia Brasileira de Ciências
DOI: 10.5281/zenodo.5140569
title: Supplementary material_Paleoenvironment of the Cerro Negro Formation (Aptian, Early Cretaceous) of Snow Island, Antarctic Peninsula

description: Supplementary material of the article entitled "Paleoenvironment of the Cerro Negro Formation (Aptian, Early Cretaceous) of Snow Island, Antarctic Peninsula", submitted to Anais da Academia Brasileira de Ciências
DOI: 10.6084/m9.figshare.15063075
title: deepFlashLeftBoth.h5

description: weights for mtl segmentation.
DOI: 10.6084/m9.figshare.15063075.v1
title: deepFlashLeftBoth.h5

description: weights for mtl segmentation.
DOI: 10.6084/m9.figshare.15063069
title: deepFlashRightBoth.h5

description: weights for mlt segmentation
DOI: 10.6084/m9.figshare.15063069.v1
title: deepFlashRightBoth.h5

description: weights for mlt segmentation
DOI: 10.6084/m9.figshare.15063066
title: deepFlashLeftT1.h5

description: segmentatation<br>
DOI: 10.6084/m9.figshare.15063066.v1
title: deepFlashLeftT1.h5

description: segmentatation<br>
DOI: 10.6084/m9.figshare.15063078
title: deepFlashRightT1.h5

description: segmentation
DOI: 10.6084/m9.figshare.15063078.v1
title: deepFlashRightT1.h5

description: segmentation
DOI: 10.6084/m9.figshare.15063081
title: deepFlashTemplateT2.nii.gz

description: template
DOI: 10.6084/m9.figshare.15063081.v1
title: deepFlashTemplateT2.nii.gz

description: template
DOI: 10.6084/m9.figshare.15063072
title: deepFlashTemplateT1.nii.gz

description: template<br>
DOI: 10.6084/m9.figshare.15063072.v1
title: deepFlashTemplateT1.nii.gz

description: template<br>
DOI: 10.6084/m9.figshare.15063087
title: deepFlashPriors.nii.gz

description: template
DOI: 10.6084/m9.figshare.15063087.v1
title: deepFlashPriors.nii.gz

description: template
DOI: 10.6084/m9.figshare.15063048.v2
title: circRNA_Data

description: circRNA dataset
DOI: 10.6084/m9.figshare.15063048
title: circRNA_Data

description: circRNA dataset
DOI: 10.25919/86x8-8219
title: Database of chemical properties of Australian biomass and waste

description: This project sought to develop a database of fuel and energy characteristics for a range of Australian biomass and wastes to support their use in a range of thermochemical technologies. The database includes biomass sourced from agriculture (wheat straw, cotton trash, sugar cane trash, chicken manure, etc), forestry (mostly woody wastes from different forestry operations including some irrigated by effluent), industrial processing (timber residues, saw dust from timber mills, bagasse from sugar industry, rice hull from rice industry, paper sludge from paper industry, etc) and urban waste (municipal solid waste, green waste and biosolids and sewage from waste water treatment facilities). The database contains relatively simple-to-use information such as proximate analysis, ultimate analysis, calorific value as well as chemical composition of mineral matter to enable project proponents to draw conclusions as to likely plant capacity and annual output. It will be updated and expanded over time as more data are available.
DOI: 10.6084/m9.figshare.15063156
title: Data-2021JC017813.zip

description: File 1-Temperature-Salinity Data: Temperature and salinity data of each station in five transects.File 2-Tintinnid species abundance: Tintinnid species and abudnance value at each sampling dapth of each station.<br>
DOI: 10.6084/m9.figshare.15063156.v1
title: Data-2021JC017813.zip

description: File 1-Temperature-Salinity Data: Temperature and salinity data of each station in five transects.File 2-Tintinnid species abundance: Tintinnid species and abudnance value at each sampling dapth of each station.<br>
DOI: 10.6084/m9.figshare.15063222.v1
title: LTH.gff

description: The genome annotation of LTH genome
DOI: 10.6084/m9.figshare.15063222.v2
title: LTH_PASA_Update.gff3

description: The genome annotation of LTH genome