cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.25345/c5j09wf5w
title: MassIVE MSV000092843 - Ribosome Profiling and Mass Spectrometry Reveal Widespread Mitochondrial Translation Defects in a Striatal Cell Model of Huntington Disease
title: Huntington disease (HD) is caused by an expanded polyglutamine mutation in huntingtin (mHTT) that promotes prominent atrophy in the striatum and subsequent psychiatric, cognitive, and choreiform movements. Multiple lines of evidence point to an association between HD and aberrant striatal mitochondrial functions; however, the present knowledge about whether (or how) mitochondrial mRNA translation is differentially regulated in HD remains unclear. We found that protein synthesis is diminished in HD mitochondria compared to healthy control striatal cell models. We utilized ribosome profiling (Ribo Seq) to analyze detailed snapshots of ribosome occupancy of the mitochondrial mRNA transcripts in control and HD striatal cell models. The Ribo-Seq data revealed almost unaltered ribosome occupancy on the nuclear encoded mitochondrial transcripts involved in oxidative phosphorylation (OXPHOS) (SDHA, Ndufv1, Timm23, Tomm5, Mrps22) in HD cells. By contrast, ribosome occupancy was dramatically increased for mitochondrially encoded OXPHOS mRNAs (mtNd-1, mtNd-2, mtNd-4, mtNd-4l, mtNd-5, mtNd-6, mt-Co1, mtCyt b, and mt-ATP8). We also applied tandem mass tag based mass spectrometry identification of mitochondrial proteins to derive correlations between ribosome occupancy and actual mature mitochondrial protein products. We found many mitochondrial transcripts with comparable or higher ribosome occupancy, but diminished mitochondrial protein products, in HD. Thus, our study provides the first evidence of a widespread dichotomous effect on ribosome occupancy and protein turnover of mitochondria related genes in HD.
DOI: 10.5066/p9yt1gic
title: Model Archive Summary for acoustic derived suspended-sediment concentration at 13269000 Snake River at Weiser, ID

description: Model archive summary describing the development of an acoustic derived suspended sediment time series computation model. The model archive summary describes the methods and techniques used to develop the model for the Snake River at Weiser, ID ? USGS site ID# 13269000. The model can be used to develop a time series of suspended sediment concentration based on acoustic backscatter and tributary flow data to determine the suspended sediment concentration at the site in real-time. The suspended sediment time series will help enable science entities, managers, and others, track the movement of sediment in the Snake River above Brownlee Reservoir.
DOI: 10.5281/zenodo.8339389
title: plethodon_ventralis_spades_01.fasta.gz

description: .
DOI: 10.5281/zenodo.8339388
title: plethodon_ventralis_spades_01.fasta.gz

description: .
DOI: 10.5519/qd.dfs30dcj
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (5661306 records)
DOI: 10.5281/zenodo.8339417
title: MCMC chains representing stellar halo fits for Lane et al. (2023) paper published in MNRAS

description: Results for the paper entitled "The stellar mass of the Gaia-Sausage/Enceladus accretion remnant" published in MNRAS by Lane, Bovy, & Mackereth. The results are in the form of MCMC posterior chains, which are used to generate the results recorded in Table 1 of the manuscript. The process used to generate these data is outlined in section 2 (data & sample preparation), section 3 (Density modelling framework), and section 4 (Presentation of results) of the manuscript. The data are contained within a single gzipped .tar file, organized in two directories: gse/ containing the results for fits to the GS/E kinematic samples, and all/ containing the results for the fits to the whole halo sample. In the gse/ directory, there are three directories: eLz/, AD/, and JRLz/, containing the results for the fits to each of the respective kinematically defined subsamples. Within these directories, as well as within all/, are a final set of directories for each of the eight density profiles considered in the work. Within each of these directories are a single file named "samples.npy" which is a binary file (see this link for format information) containing a numpy array of shape (# of parameters, # of posterior samples). The number of posterior samples is the number of walkers (100) times the number of samples per walker (10,000), minus the number of burn-in steps per walker (1,000) = 900,000. The number of parameters can be inferred from the density profiles definitions in section 3 of the manuscript, and the ordering of the parameters is the same as in Table 1. The units of the parameters are as in Table 1, except for the parameters theta and phi which are scaled such that they are defined on the interval (0,1), representing the intervals (0,2pi) and (0,pi) respectively.
DOI: 10.5281/zenodo.8339416
title: MCMC chains representing stellar halo fits for Lane et al. (2023) paper published in MNRAS

description: Results for the paper entitled "The stellar mass of the Gaia-Sausage/Enceladus accretion remnant" published in MNRAS by Lane, Bovy, & Mackereth. The results are in the form of MCMC posterior chains, which are used to generate the results recorded in Table 1 of the manuscript. The process used to generate these data is outlined in section 2 (data & sample preparation), section 3 (Density modelling framework), and section 4 (Presentation of results) of the manuscript. The data are contained within a single gzipped .tar file, organized in two directories: gse/ containing the results for fits to the GS/E kinematic samples, and all/ containing the results for the fits to the whole halo sample. In the gse/ directory, there are three directories: eLz/, AD/, and JRLz/, containing the results for the fits to each of the respective kinematically defined subsamples. Within these directories, as well as within all/, are a final set of directories for each of the eight density profiles considered in the work. Within each of these directories are a single file named "samples.npy" which is a binary file (see this link for format information) containing a numpy array of shape (# of parameters, # of posterior samples). The number of posterior samples is the number of walkers (100) times the number of samples per walker (10,000), minus the number of burn-in steps per walker (1,000) = 900,000. The number of parameters can be inferred from the density profiles definitions in section 3 of the manuscript, and the ordering of the parameters is the same as in Table 1. The units of the parameters are as in Table 1, except for the parameters theta and phi which are scaled such that they are defined on the interval (0,1), representing the intervals (0,2pi) and (0,pi) respectively.
DOI: 10.5281/zenodo.8339448
title: sycophila_texana_spades_01.fasta.gz

description: .
DOI: 10.5281/zenodo.8339449
title: sycophila_texana_spades_01.fasta.gz

description: .
DOI: 10.5281/zenodo.15208201
title: Impact of Climate Policy Uncertainty on Corporate Credit Financing

description: This dataset is employed to examine the impact of climate policy uncertainty on corporate credit financing. Relative datas are sourced from CSMAR and CSI. For any inquiries, please contact the data provider.

E-mail:m18803364265@163.com
DOI: 10.5281/zenodo.15208202
title: Impact of Climate Policy Uncertainty on Corporate Credit Financing

description: This dataset is employed to examine the impact of climate policy uncertainty on corporate credit financing. Relative datas are sourced from CSMAR and CSI. For any inquiries, please contact the data provider.

E-mail:m18803364265@163.com
DOI: 10.15468/dl.zadwm6
title: Occurrence Download

description: A dataset containing 251 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Geranium carolinianum L."
 ]
}

 The dataset includes 251 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021387-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.2556066
title: Binary black-hole simulation SXS:BBH:1484

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.2556067
title: Binary black-hole simulation SXS:BBH:1484

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.2555530
title: Binary black-hole simulation SXS:BBH:1442

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.2555531
title: Binary black-hole simulation SXS:BBH:1442

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.2555676
title: Binary black-hole simulation SXS:BBH:1454

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.2555677
title: Binary black-hole simulation SXS:BBH:1454

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.21227/xpa5-av20
title: Device Fingerprinting for Access Control over a Campus and Isolated Network

description: Device Fingerprinting for Access Control over a Campus and Isolated Network Device Fingerprinting (DFP) is a technique to identify devices using Inter-Arrival Time (IAT) of packets and without using any other unique identifier. Our experiments include generating graphs of IATs of 100 packets and using Convolutional Neural Network on the generated graphs to identify a device. We did two experiments where the first experiment was on Raspberri Pi and other experiment was on crawdad dataset. First Experiment: Raspberry Pi We developed a packet sniffer application to capture IAT of packets. Packet sniffer application was installed on Raspberry pi that was configured to work as router. We connceted two devices iPad4 and iPhone 7 Plus to the router and created IAT graphs for these two devices. Our scheme based on Convolution Neural Network (CNN) was able to identify the devices with accuracy of 86.7%. Second Experiment: Crawdad Dataset In the second experiment, we tested the scheme with Crawdad dataset. The proposed scheme achieved accuracy of 95.5% for GTID that is 3% higher than previous scheme for 14 devices and 5 device types on isolated network while 40% efficient in time to test a device fingerprint.
DOI: 10.5281/zenodo.2556070
title: Binary black-hole simulation SXS:BBH:1485

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.2556071
title: Binary black-hole simulation SXS:BBH:1485

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5517/ccdc.csd.cc1pzsjz
title: CCDC 1578722: Experimental Crystal Structure Determination

description: Related Article: Truong Giang Do, Emanuel Hupf, Enno Lork, Stefan Mebs, Jens Beckmann|2019|Dalton Trans.|48|2635|doi:10.1039/C9DT00089E
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.cc1pzsl1
title: CCDC 1578724: Experimental Crystal Structure Determination

description: Related Article: Truong Giang Do, Emanuel Hupf, Enno Lork, Stefan Mebs, Jens Beckmann|2019|Dalton Trans.|48|2635|doi:10.1039/C9DT00089E
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.cc2063y9
title: CCDC 1852930: Experimental Crystal Structure Determination

description: Related Article: Monica Clements, Margaret Blackie, Carmen de Kock, Nina Lawrence, Peter Smith, Tanya le Roex|2019|Cryst.Growth Des.|19|1540|doi:10.1021/acs.cgd.8b01049
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.cc2063zb
title: CCDC 1852931: Experimental Crystal Structure Determination

description: Related Article: Monica Clements, Margaret Blackie, Carmen de Kock, Nina Lawrence, Peter Smith, Tanya le Roex|2019|Cryst.Growth Des.|19|1540|doi:10.1021/acs.cgd.8b01049
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.cc20t578
title: CCDC 1871229: Experimental Crystal Structure Determination

description: Related Article: Dexin Guan, Cyril Godard, Stacey M. Polas, Robert P. Tooze, Adrian C. Whitwood, Simon B. Duckett|2019|Dalton Trans.|48|2664|doi:10.1039/C8DT04723E
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.cc20tzb5
title: CCDC 1872007: Experimental Crystal Structure Determination

description: Related Article: Alexey A. Zolotukhin, Michael P. Bubnov, Artem S. Bogomyakov, Evgeny V. Baranov, Vladimir K. Cherkasov|2019|Inorg.Chim.Acta|488|278|doi:10.1016/j.ica.2019.01.032
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/tw77yjjt3r.1
title: Data for: Numerical influence analysis of the packing structure on ceramic breeder pebble bed
DOI: 10.5281/zenodo.2555261
title: Binary black-hole simulation SXS:BBH:1411

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.2555262
title: Binary black-hole simulation SXS:BBH:1411

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.2555713
title: Binary black-hole simulation SXS:BBH:1455

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.2555714
title: Binary black-hole simulation SXS:BBH:1455

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5517/ccdc.csd.cc20qkkw
title: CCDC 1868728: Experimental Crystal Structure Determination

description: Related Article: Moumita Pait, Gargi Kundu, Srinu Tothadi, Suvendu Karak, Shailja Jain, Kumar Vanka, Sakya S. Sen|2019|Angew.Chem.,Int.Ed.|58|2804|doi:10.1002/anie.201814616
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.cc20qknz
title: CCDC 1868731: Experimental Crystal Structure Determination

description: Related Article: Moumita Pait, Gargi Kundu, Srinu Tothadi, Suvendu Karak, Shailja Jain, Kumar Vanka, Sakya S. Sen|2019|Angew.Chem.,Int.Ed.|58|2804|doi:10.1002/anie.201814616
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.cc20qkq1
title: CCDC 1868733: Experimental Crystal Structure Determination

description: Related Article: Moumita Pait, Gargi Kundu, Srinu Tothadi, Suvendu Karak, Shailja Jain, Kumar Vanka, Sakya S. Sen|2019|Angew.Chem.,Int.Ed.|58|2804|doi:10.1002/anie.201814616
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.cc20tzc6
title: CCDC 1872008: Experimental Crystal Structure Determination

description: Related Article: Alexey A. Zolotukhin, Michael P. Bubnov, Artem S. Bogomyakov, Evgeny V. Baranov, Vladimir K. Cherkasov|2019|Inorg.Chim.Acta|488|278|doi:10.1016/j.ica.2019.01.032
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.cc20tzd7
title: CCDC 1872009: Experimental Crystal Structure Determination

description: Related Article: Alexey A. Zolotukhin, Michael P. Bubnov, Artem S. Bogomyakov, Evgeny V. Baranov, Vladimir K. Cherkasov|2019|Inorg.Chim.Acta|488|278|doi:10.1016/j.ica.2019.01.032
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.cc20v4cd
title: CCDC 1872163: Experimental Crystal Structure Determination

description: Related Article: Daichi Kitagawa, Tatsumoto Nakahama, Yoshihiro Nakai, Seiya Kobatake|2019|J.Mater.Chem.C|7|2865|doi:10.1039/C8TC05357J
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.cc20v748
title: CCDC 1872249: Experimental Crystal Structure Determination

description: Related Article: Moumita Pait, Gargi Kundu, Srinu Tothadi, Suvendu Karak, Shailja Jain, Kumar Vanka, Sakya S. Sen|2019|Angew.Chem.,Int.Ed.|58|2804|doi:10.1002/anie.201814616
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.cc20vfw6
title: CCDC 1872458: Experimental Crystal Structure Determination

description: Related Article: Basudeb Dutta, Rajkumar Jana, Anup Kumar Bhanja, Partha Pratim Ray, Chittaranjan Sinha, Mohammad Hedayetullah Mir|2019|Inorg.Chem.|58|2686|doi:10.1021/acs.inorgchem.8b03294
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.cc20vnj2
title: CCDC 1872664: Experimental Crystal Structure Determination

description: Related Article: Xiangxiang Zhao, Shilin Wang, Liyan Zhang, Suya Liu, Guozan Yuan|2019|Inorg.Chem.|58|2444|doi:10.1021/acs.inorgchem.8b03001
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.cc20vnk3
title: CCDC 1872665: Experimental Crystal Structure Determination

description: Related Article: Xiangxiang Zhao, Shilin Wang, Liyan Zhang, Suya Liu, Guozan Yuan|2019|Inorg.Chem.|58|2444|doi:10.1021/acs.inorgchem.8b03001
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.cc1n83tv
title: CCDC 1527147: Experimental Crystal Structure Determination

description: Related Article: Debashis Basu, T. Spencer Bailey, Noémie Lalaoui, Casseday P. Richers, Toby J. Woods, Thomas B. Rauchfuss, Federica Arrigoni, Giuseppe Zampella|2019|Inorg.Chem.|58|2430|doi:10.1021/acs.inorgchem.8b02991
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.cc1n83vw
title: CCDC 1527148: Experimental Crystal Structure Determination

description: Related Article: Debashis Basu, T. Spencer Bailey, Noémie Lalaoui, Casseday P. Richers, Toby J. Woods, Thomas B. Rauchfuss, Federica Arrigoni, Giuseppe Zampella|2019|Inorg.Chem.|58|2430|doi:10.1021/acs.inorgchem.8b02991
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.cc20vnr9
title: CCDC 1872671: Experimental Crystal Structure Determination

description: Related Article: Xiangxiang Zhao, Shilin Wang, Liyan Zhang, Suya Liu, Guozan Yuan|2019|Inorg.Chem.|58|2444|doi:10.1021/acs.inorgchem.8b03001
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.