cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5517/ccdc.csd.cc2f0cmg
title: CCDC 2234685: Experimental Crystal Structure Determination

description: Related Article: Li Tao, Xiao-Fei Liu, Bai-Hao Ren, He Wang, Hui-Qin Sun, Ke Zhang, Yong-Qiang Teng, Wei-Min Ren, Xiao-Bing Lu, Wen-Zhen Zhang|2024|Org.Lett.|26|542|doi:10.1021/acs.orglett.3c04007
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.cc2f0ty7
title: CCDC 2235129: Experimental Crystal Structure Determination

description: Related Article: Li Tao, Xiao-Fei Liu, Bai-Hao Ren, He Wang, Hui-Qin Sun, Ke Zhang, Yong-Qiang Teng, Wei-Min Ren, Xiao-Bing Lu, Wen-Zhen Zhang|2024|Org.Lett.|26|542|doi:10.1021/acs.orglett.3c04007
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.cc2dxjmh
title: CCDC 2231957: Experimental Crystal Structure Determination

description: Related Article: Yue Xu, Bin Zhu, Lingfang Zhang, Glib Baryshnikov, Feng Sha, Emiko Nishimoto, Hideaki Takano, Chengjie Li, Xinyan Wu, Hans Ågren, Hiroshi Shinokubo, Yongshu Xie, Qizhao Li|2024|Org.Lett.|26|571|doi:10.1021/acs.orglett.3c04323
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.cc2f0v0b
title: CCDC 2235131: Experimental Crystal Structure Determination

description: Related Article: Li Tao, Xiao-Fei Liu, Bai-Hao Ren, He Wang, Hui-Qin Sun, Ke Zhang, Yong-Qiang Teng, Wei-Min Ren, Xiao-Bing Lu, Wen-Zhen Zhang|2024|Org.Lett.|26|542|doi:10.1021/acs.orglett.3c04007
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: 10.17632/pzk9tsxhd4.1
title: Interactions Between Water and Subducted Oceanic Crust in the Mid-to-Deep Lower Mantle

description: XRD dataset for Interactions Between Water and Subducted Oceanic Crust in the Mid-to-Deep Lower Mantle
DOI: 10.17632/5sm3bwrnpt.1
title: Exploring the formation of secondary aerosols in elemental carbon at the lower free troposphere

description: In this study, we studied the chemical components, potential contribution and mixing state of element carbon (EC)-containing particles using a single particle aerosol mass spectrometer (SPAMS) with high-time resolution in the western summit of mountain Hua (Mt. Hua), and further investigated the role of EC in the formation and evolution of secondary aerosols. Combined the results of back trajectories and concentration-weighted trajectory, the effect of regional and upward transport on the chemical characteristics of different EC-containing particles revealed in this study, which improve our knowledge and understanding of its role in the formation of secondary aerosols in the lower free troposphere. The findings from this study provide a new perspective for discussing the EC types and environmental effects in troposphere ambient.
DOI: 10.34740/kaggle/dsv/7469046
title: OnlineFree
DOI: 10.34740/kaggle/dsv/7469045
title: AutoXGB
DOI: 10.5281/zenodo.10474239
title: Collaborative effect of Csnk1a1 haploinsufficiency and mutant p53 in Myc induction can promote leukemic transformation

description: It is still not fully understood how genetic haploinsufficiency in del(5q) myelodysplastic syndrome (MDS) contributes to malignant transformation of hematopoietic stem cells. We asked how compound haploinsufficiency for Csnk1a1 and Egr1 in the common deleted region on chromosome 5 affects hematopoietic stem cells. Additionally, Trp53 was disrupted as the most frequently comutated gene in del(5q) MDS using CRISPR/Cas9 editing in hematopoietic progenitors of wild-type (WT), Csnk1a1–/+, Egr1–/+, Csnk1a1/Egr1–/+ mice. A transplantable acute leukemia only developed in the Csnk1a1–/+ Trp53–edited recipient. Isolated blasts were indefinitely cultured ex vivo and gave rise to leukemia after transplantation, providing a tool to study disease mechanisms or perform drug screenings. In a small-scale drug screening, the collaborative effect of Csnk1a1 haploinsufficiency and Trp53 sensitized blasts to the CSNK1 inhibitor A51 relative to WT or Csnk1a1 haploinsufficient cells. In vivo, A51 treatment significantly reduced blast counts in Csnk1a1 haploinsufficient/Trp53 acute leukemias and restored hematopoiesis in the bone marrow. Transcriptomics on blasts and their normal counterparts showed that the derived leukemia was driven by MAPK and Myc upregulation downstream of Csnk1a1 haploinsufficiency cooperating with a downregulated p53 axis. A collaborative effect of Csnk1a1 haploinsufficiency and p53 loss on MAPK and Myc upregulation was confirmed on the protein level. Downregulation of Myc protein expression correlated with efficient elimination of blasts in A51 treatment. The “myc signature” closely resembled the transcriptional profile of patients with del(5q) MDS with TP53 mutation.
DOI: 10.5281/zenodo.10474240
title: Collaborative effect of Csnk1a1 haploinsufficiency and mutant p53 in Myc induction can promote leukemic transformation

description: It is still not fully understood how genetic haploinsufficiency in del(5q) myelodysplastic syndrome (MDS) contributes to malignant transformation of hematopoietic stem cells. We asked how compound haploinsufficiency for Csnk1a1 and Egr1 in the common deleted region on chromosome 5 affects hematopoietic stem cells. Additionally, Trp53 was disrupted as the most frequently comutated gene in del(5q) MDS using CRISPR/Cas9 editing in hematopoietic progenitors of wild-type (WT), Csnk1a1–/+, Egr1–/+, Csnk1a1/Egr1–/+ mice. A transplantable acute leukemia only developed in the Csnk1a1–/+ Trp53–edited recipient. Isolated blasts were indefinitely cultured ex vivo and gave rise to leukemia after transplantation, providing a tool to study disease mechanisms or perform drug screenings. In a small-scale drug screening, the collaborative effect of Csnk1a1 haploinsufficiency and Trp53 sensitized blasts to the CSNK1 inhibitor A51 relative to WT or Csnk1a1 haploinsufficient cells. In vivo, A51 treatment significantly reduced blast counts in Csnk1a1 haploinsufficient/Trp53 acute leukemias and restored hematopoiesis in the bone marrow. Transcriptomics on blasts and their normal counterparts showed that the derived leukemia was driven by MAPK and Myc upregulation downstream of Csnk1a1 haploinsufficiency cooperating with a downregulated p53 axis. A collaborative effect of Csnk1a1 haploinsufficiency and p53 loss on MAPK and Myc upregulation was confirmed on the protein level. Downregulation of Myc protein expression correlated with efficient elimination of blasts in A51 treatment. The “myc signature” closely resembled the transcriptional profile of patients with del(5q) MDS with TP53 mutation.
DOI: 10.14278/rodare.2694
title: Data publication: Thermal twin stars within a hybrid equation of state based on a nonlocal chiral quark model compatible with modern astrophysical observations

description: These data sets characterize the thermodynamics of color superconducting quark matter under neutron star constraints and neutron star sequences at finite temperatures. They concern order parameters chiral condensate and diquark pairing gap as functions of chemical potential and temperature, phase diagrams in the temperature-chemical potential plane, mass-radius diagrams, mass as a function of the central energy density, equation of state, entropy per baryon versus pressure and chemical potential versus pressure.
DOI: 10.14278/rodare.2693
title: Data publication: Thermal twin stars within a hybrid equation of state based on a nonlocal chiral quark model compatible with modern astrophysical observations

description: These data sets characterize the thermodynamics of color superconducting quark matter under neutron star constraints and neutron star sequences at finite temperatures. They concern order parameters chiral condensate and diquark pairing gap as functions of chemical potential and temperature, phase diagrams in the temperature-chemical potential plane, mass-radius diagrams, mass as a function of the central energy density, equation of state, entropy per baryon versus pressure and chemical potential versus pressure.
DOI: 10.6084/m9.figshare.25053146
title: Datasets .csv

description: The dataset for this research project was meticulously constructed to investigate the adoption of ChatGPT among students in the United States. The primary objective was to gain insights into the technological barriers and resistances faced by students in integrating ChatGPT into their information systems. The dataset was designed to capture the diverse adoption patterns among students in various public and private schools and universities across the United States. By examining adoption rates, frequency of usage, and the contexts in which ChatGPT is employed, the research sought to provide a comprehensive understanding of how students are incorporating this technology into their information systems. Moreover, by including participants from diverse educational institutions, the research sought to ensure a comprehensive representation of the student population in the United States. This approach aimed to provide nuanced insights into how factors such as educational background, institution type, and technological familiarity influence ChatGPT adoption.
DOI: 10.5281/zenodo.10527275
title: COVISLEEP: A sleep dataset to investigate the impact of long-COVID on chronic insomnia.

description: This dataset contains polysomnography recordings of 93 patients suffering from chronic insomnia. Among them, 31 declared suffering from insomnia after experiencing long-COVID symptoms (identified by the 'S' letter before their ID), while the other 62 have not been infected by COVID-19 (identified by the 'T' letter). Sleep staging was performed by trained sleep physicians for each recording following the AASM guidelines.

A metadata file contains additional information about the subjects, such as their age, height, or type of insomnia.

The raw zip file contains unprocessed polysomnography recordings as EDF files. They were acquired through Nox A1 sensors and contain up to 80 channels. Each EDF file corresponds to a night of sleep for each patient.

For each raw file, there is a CSV file in the annotations zip files. Each CSV file contains the sleep stages, with its corresponding epoch ID and time.

Finally, the preprocessed zip file contains the preprocessed polysomnography signals, stored as NPY files.
DOI: 10.5281/zenodo.10527276
title: COVISLEEP: A sleep dataset to investigate the impact of long-COVID on chronic insomnia.

description: This dataset contains polysomnography recordings of 93 patients suffering from chronic insomnia. Among them, 31 declared suffering from insomnia after experiencing long-COVID symptoms (identified by the 'S' letter before their ID), while the other 62 have not been infected by COVID-19 (identified by the 'T' letter). Sleep staging was performed by trained sleep physicians for each recording following the AASM guidelines.

A metadata file contains additional information about the subjects, such as their age, height, or type of insomnia.

The raw zip file contains unprocessed polysomnography recordings as EDF files. They were acquired through Nox A1 sensors and contain up to 80 channels. Each EDF file corresponds to a night of sleep for each patient.

For each raw file, there is a CSV file in the annotations zip files. Each CSV file contains the sleep stages, with its corresponding epoch ID and time.

Finally, the preprocessed zip file contains the preprocessed polysomnography signals, stored as NPY files.
DOI: 10.5281/zenodo.10056872
title: Supplementary Data for 'Machine learning detection of SARS-CoV-2 high-risk variants'
DOI: 10.5281/zenodo.10056873
title: Supplementary Data for 'Machine learning detection of SARS-CoV-2 high-risk variants'
DOI: 10.5281/zenodo.7802642
title: Widespread pesticide distribution in European atmosphere questions their degradability in air -  Pan-European Study of Pesticides long-range Atmospheric Transport - Full Dataset

description: Here are the dataset, used and presented in the 2024 article entitled "Widespread pesticide distribution in European atmosphere questions their degradability in air" in Environmental Science and Technology

For related questions:

please contact authors Ludovic Mayer (ludovic.mayer@recetox.muni.cz)

or corresponding authors: Gerhard Lammel (gerhard.lammel@recetox.muni.cz) or Céline Degrendele (celine.degrendele@recetox.muni.cz)
DOI: 10.5281/zenodo.7802643
title: Widespread pesticide distribution in European atmosphere questions their degradability in air -  Pan-European Study of Pesticides long-range Atmospheric Transport - Full Dataset

description: Here are the dataset, used and presented in the 2024 article entitled "Widespread pesticide distribution in European atmosphere questions their degradability in air" in Environmental Science and Technology

For related questions:

please contact authors Ludovic Mayer (ludovic.mayer@recetox.muni.cz)

or corresponding authors: Gerhard Lammel (gerhard.lammel@recetox.muni.cz) or Céline Degrendele (celine.degrendele@recetox.muni.cz)
DOI: 10.5281/zenodo.10557118
title: GNSS dataset for "Magma budget, plutonic growth and lateral spreading at Mt. Etna"

description: GNSS dataset for Magma budget, plutonic growth and lateral spreading at Mt. Etna
DOI: 10.5281/zenodo.10557119
title: GNSS dataset for "Magma budget, plutonic growth and lateral spreading at Mt. Etna"

description: GNSS dataset for Magma budget, plutonic growth and lateral spreading at Mt. Etna
DOI: 10.5066/p91v4sdt
title: Data Release for the 2021 Update of the U.S. National Seismic Hazard Model for Hawaii

description: The 2021 update of the U.S. National Seismic Hazard Model for Hawaii succeeds the twenty-year-old former model by incorporating new data and modeling techniques to improve the ground shaking forecasts. Output from the model includes probabilistic seismic hazard curves calculated for a 0.02° x 0.02° grid of latitude/longitude locations across Hawaii. The new model provides an expanded suite of hazard curves for twenty-three different ground motion intensity measures, including PGA, PGV, and spectral accelerations between 0.01 and 10 second, and for eight separate soil site classes (VS30 = 1500 m/sec to 150 m/sec), representing NEHRP site classes A/B to E. In addition, gridded uniform- hazard data are provided for 2 percent, 5 percent, and 10 percent probability of exceedance in 50 years for all of the ground motions and soil site classes previously mentioned. A set of the most frequently requested hazard maps and associated GIS data have been produced and are provided in this data release as well. Additional maps and data portraying the chance of damaging earthquake shaking, comparison with the 2001 seismic hazard model, a research hazard model which incorporates declustered rate grids that are scaled to account for the total number of earthquakes in the full catalog, the seismicity catalogs used in the hazard model, and GPS velocity data and slip rates data on the décollements are also available for download.
DOI: 10.5066/p9au713n
title: Earthquake geology inputs for the U.S. National Seismic Hazard Model (NSHM) 2023 (western US) (ver. 2.0, February 2022)

description: This Data Release contains preliminary versions of two related databases: 1) A fault sections database ('NSHM23_FSD_v2'), which depicts the geometry of faults capable of hosting independent earthquakes, and 2) An earthquake geology site information database ('NSHM23_EQGeoDB_v2'), which contains fault slip-rate constraints at points. These databases were prepared in anticipation of updates to the National Seismic Hazard Model (NSHM) 2023. Fault-specific geologic parameters for the NSHM have not been updated since the 2014 NSHM release. The datasets include the states of Washington, Oregon, California, Idaho, Nevada, Arizona, Montana, Wyoming, Colorado, New Mexico and Texas. Datasets containing fault information for Alaska and the Central and Eastern United States are the subjects of separate efforts. These databases are provided as geospatial data (e.g., .SHP and .GeoJSON file formats) and tables (.CSV or .TXT format). Please note: these databases are updated as of February 2022 (version 2), which supersede the databases release in January 2021 (version 1). First release: 2021 Revised: February 2022 (ver. 2.0)
DOI: 10.34948/n3z59t
title: NGA-Sub Flatfile: R211022
DOI: 10.5066/p93i5pu4
title: Ground-motion records and basin depth models for Reno, Nevada, 2008-2022

description: This dataset includes processed ground-motion records and horizontal pseudospectral accelerations (5-percent-damped) from magnitude 3.0-6.0 earthquakes occurring in the vicinity of Reno, Nevada, between 2008 and 2022. The dataset includes 592 records from 104 earthquakes and 42 stations. Spectral values are provided at 21 periods (0.01-10 s). Local basin depths as given by Z1.0 and Z2.5 (depths to the 1.0 and 2.5 km/s shear wave speed isosurfaces) are from Simpson and Louie (doi: 10.5281/zenodo.4408557). The dataset includes Vs30 (time averaged shear wave speed in the top 30 m) values for each station from from Thompson and others (doi: 10.1785/0120130312).
DOI: 10.5066/p94hle5g
title: Earthquake geology inputs for the National Seismic Hazard Model (NSHM) 2023 (central and eastern United States), version 1.0

description: This Data Release contains three related databases for the Central and Eastern United States: 1) A fault sections database ("NSHM2023_FaultSections_CEUS_v1"), which depicts the geometry of faults capable of hosting independent earthquakes, 2) A fault zone polygon database ("NSHM2023_FaultPolygons_CEUS_v1"), which depicts the geometry of distributed fault zones capable of hosting repeated large magnitude events but a specific fault source remains unidentified, and 3) An earthquake geology site information database ("NSHM2023_EQGeoDB_CEUS_v1"), which contains fault slip-rate and earthquake recurrence constraints at points. These databases were prepared in anticipation of updates to the National Seismic Hazard Model (NSHM) 2023. Fault-specific geologic parameters for the NSHM have not been updated since the 2014 NSHM release, which included inputs from the 2012 Central and Eastern United States Seismic Source Characterization for nuclear facilities model. The databases in this Data Release include the states of Missouri, Illinois, Indiana, Arkansas, Tennessee, Kentucky, Oklahoma, South Carolina, Virginia, as well as southeast Canada (Quebec). These databases are provided as geospatial data (e.g., .SHP, .KML, .GEOJSON file formats) and tables (.CSV format).
DOI: 10.5066/p990dsa7
title: Ground-motion records and basin depth models for Portland, Oregon, 2005-2022

description: This dataset includes processed ground-motion records and horizontal pseudospectral accelerations (5-percent-damped) from magnitude 3.0-6.8 earthquakes occurring in the vicinity of Portland, Oregon, between 2005 and 2022. The dataset includes 347 records from 134 earthquakes and 69 stations. Spectral values are provided at 21 periods (0.01-10 s). It also includes the basin depth models as GeoTiff raster files, which are provided as Z1.0 and Z2.5 (depths to the 1.0 and 2.5 km/s shear wave speed isosurfaces) values from the U.S. Geological Survey (USGS) National Crustal Model (NCM) for seismic hazard studies version 220311 (doi: 10.5066/P990DSA7). The dataset includes Vs30 (time averaged shear wave speed in the top 30 m) values for each station from from Thompson and others (doi: 10.1785/0120130312).
DOI: 10.5066/p9ykf031
title: Ground-motion records and basin depth models for the Great Valley, California, 2000-2022

description: This dataset includes processed ground-motion records and horizontal pseudospectral accelerations (5-percent-damped) from magnitude 3.5-7.1 earthquakes occurring in the vicinity of the Great Valley, California, between 2000 and 2022. The dataset includes 12,044 records from 564 earthquakes and 254 stations. Spectral values are provided at 21 periods (0.01-10 s). It also includes the basin depth models as GeoTiff raster files, which are provided as Z1.0 and Z2.5 (depths to the 1.0 and 2.5 km/s shear wave speed isosurfaces) values averaged from the corresponding values in the U.S. Geological Survey (USGS) San Francisco Bay region three-dimensional seismic velocity model version 21.1 (doi: 10.5066/P9TRDCHE) and the USGS National Crustal Model (NCM) for seismic hazard studies version 220311 (doi: 10.5066/p9T96Q67). The dataset includes Vs30 (time averaged shear wave speed in the top 30 m) values for each station from Thompson and others (doi: 10.1785/0120130312).
DOI: 10.5067/modis/mcd06cosp_m3_modis.061
title: MODIS (Aqua/Terra) Cloud Properties Level 3 monthly, 1x1 degree grid
DOI: 10.5281/zenodo.10003353
title: SIFaultKin v.1.1: a dataset of fault kinematic models in southern Italy (2023).

description: This dataset is part of the supplementary information for the manuscript "Fault kinematic numerical modelling along a widely deformed plate boundary in southern Italy", by Marco Cuffaro, Patrizio Petricca, Alessia Conti, Mimmo Palano, Andrea Billi and Sabina Bigi. October 2023.
The files describe the input and the output data when using the NeoKinema code (http:// peterbird.name/oldFTP/NeoKinema/) in Southern Italy. They are divided in five ascii datasets (Datasets S1-S5), a KMZ output file with the obtained fault kinematics and net slip rate (Datasets S6) and two large excel tables  (Tabs. S01 and S02).
DOI: 10.5281/zenodo.7762776
title: marco-foscato/RuC_BondLength: v1.0.0

description: Data, parameters, scripts, and software tools used in de novo design of ruthenium catalyst for olefin metathesis.
DOI: 10.6073/pasta/7c635efb584b1d254d8b713361b13ad0
title: Measurements of height, diameter at breast height and basal diameter for Prestoea acuminata at the Luquillo Forest Dynamics Plot (LFDP), Puerto Rico in January 2020.

description: Data were collected in January 2020 in Puerto Rico, within and outside the boundaries of LFDP. For each of these palms, we measured stem height from the ground to the base of the crown (Hbc; height of the youngest internode), diameter at 130 cm above ground (D130), and basal diameter (DB; just above the top of the roots). These are the data which accompany the publication: Height-diameter allometry for a dominant palm to improve understanding of carbon and forest dynamics in forests of Puerto Rico.