cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5517/ccdc.csd.cc2cpl1q
title: CCDC 2195483: Experimental Crystal Structure Determination

description: Related Article: Michael Pfletcher, Christoph Wölper, Michael Giese
|2022|CSD Communication|||
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2cpl5v
title: CCDC 2195487: Experimental Crystal Structure Determination

description: Related Article: Matthias Spengler, Christoph Wölper, Michael Giese|2022|CSD Communication|||
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2cpl8y
title: CCDC 2195490: Experimental Crystal Structure Determination

description: Related Article: Matthias Spengler, Christoph Wölper, Michael Giese|2022|CSD Communication|||
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2cplb0
title: CCDC 2195492: Experimental Crystal Structure Determination

description: Related Article: Matthias Spengler, Christoph Wölper, Michael Giese|2022|CSD Communication|||
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2cplwk
title: CCDC 2195509: Experimental Crystal Structure Determination

description: Related Article: Matthias Spengler, Christoph Wölper, Michael Giese|2022|CSD Communication|||
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2cpqd6
title: CCDC 2195618: Experimental Crystal Structure Determination

description: Related Article: Matthias Spengler, Christoph Wölper, Michael Giese|2022|CSD Communication|||
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2cpqsl
title: CCDC 2195630: Experimental Crystal Structure Determination

description: Related Article: Matthias Spengler, Christoph Wölper, Michael Giese|2022|CSD Communication|||
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2cq048
title: CCDC 2195889: Experimental Crystal Structure Determination

description: Related Article: Steven Dannenberg|2023|CSD Communication|||
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc26wzps
title: CCDC 2052686: Experimental Crystal Structure Determination

description: Related Article: Mohammed Chalkha, Anouar Ameziane el Hassani, Asmae Nakkabi, Burak Tüzün, Mohamed Bakhouch, Adil Touimi Benjelloun, Mouhcine Sfaira, Mohamed Saadi, Lahcen El Ammari, Mohamed El Yazidi|2023|J.Mol.Struct.|1273|134255|doi:10.1016/j.molstruc.2022.134255
description: Related Article: Mohammed Chalkha, Anouar Ameziane el Hassani, Asmae Nakkabi, Burak Tüzün, Mohamed Bakhouch, Adil Touimi Benjelloun, Mouhcine Sfaira, Mohamed Saadi, Lahcen El Ammari, Mohamed El Yazidi|2020|CSD Communication|||
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2gh3sw
title: CCDC 2278648: Experimental Crystal Structure Determination

description: Related Article: Ao Ying|2023|CSD Communication|||
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2gh3tx
title: CCDC 2278649: Experimental Crystal Structure Determination

description: Related Article: Ao Ying|2023|CSD Communication|||
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2gh3vy
title: CCDC 2278650: Experimental Crystal Structure Determination

description: Related Article: Ao Ying|2023|CSD Communication|||
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2gj4pv
title: CCDC 2279637: Experimental Crystal Structure Determination

description: Related Article: E.P. Vanable |2023|CSD Communication|||
description: Related Article: An T. Ho, Evan P. Vanable, Chelsea San Miguel, Kami L. Hull|2024|Chem.Commun.|60|1615|doi:10.1039/D3CC05594A
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: 10.5281/zenodo.10626111
title: Daily surface temperature from three sensitivity ensembles of June-September 2018 and tridimensional temperature, salinity and currents on 16 and 31 July 2018 over the South China Sea

description: This dataset contains the outputs from three ensembles of 10 simulations performed over the South China Sea for summer 2018 with the ocean model SYMPHONIE (see Herrmann et al. 2023). The FULL ensemble takes into account tides and rivers and is full described in Herrmann et al. 2023. NoTide and NoRiver are the same as FULL, but NoTide ensemble only takes into account rivers, and the NoRiver ensemble only take into account tides. Members are numbered from M09 to M18.

uvTS3D_201807"day".M17_"ensemble".nc.gz contains the tridimensional temperature, salinity and currents of member M17 of the "ensemble" ensemble on the day "day" of July, 2018. For example uvTS3D_20180716_M17_FULL.nc.gz provides those variables for member M17 of the FULL ensemble on the 16th of July. Those variables are provided for the 16th and 31st of July for the 3 ensembles.

The files SST_daily_JJAS_M'XX'_"ensemble".nc.gz in the directory daily_SST_JJAS contains the daily sea surface temperature for each member "MXX" of each ensemble "ensemble" between June 1st and September 30th, 2018. For exemple SST_daily_JJAS_M12_NoRiver.nc.gz contains those variables for member M12 of the NoRiver ensemble. Those variables are provided for the 10 members of the 3 ensembles.

grid.nc contains all information about the Arakawa C grid (longitude, latitude, mask, mesh size etc).

Référence : Herrmann, M., To Duy, T., and Estournel, C.: Intraseasonal variability of the South Vietnam upwelling, South China Sea: influence of atmospheric forcing and ocean intrinsic variability, Ocean Science, 19, 453–467, https://doi.org/10.5194/os-19-453-2023, 2023
DOI: 10.3886/e196901v1
title: COEP-Apr-2023-0055 Replication Package for "Gender Equity and Male and Female Smoking Behavior"

description: This replication archive houses the data and programs necessary to replicate all results in Jergins (2023). "Gender Equity and Male and Female Smoking Behavior." Contemporary Economic Policy.
DOI: 10.3886/e196901v2
title: COEP Replication Package for "Gender Equity and Male and Female Smoking Behavior"

description: This replication archive houses the data and programs necessary to replicate all results in Jergins (2024). "Gender Equity and Male and Female Smoking Behavior." Contemporary Economic Policy.
DOI: 10.3886/e196901
title: COEP Replication Package for "Gender Equity and Male and Female Smoking Behavior"

description: This replication archive houses the data and programs necessary to replicate all results in Jergins (2024). "Gender Equity and Male and Female Smoking Behavior." Contemporary Economic Policy.
DOI: 10.3886/e196901v3
title: COEP Replication Package for "Gender Equity and Male and Female Smoking Behavior"

description: This replication archive houses the data and programs necessary to replicate all results in Jergins (2024). "Gender Equity and Male and Female Smoking Behavior." Contemporary Economic Policy.
DOI: 10.25345/c55m62j4g
title: MassIVE MSV000094025 - 6 Ocotea sp. dataset in negative ionization mode in DIA
title: This dataset consists of 6 Ocotea plant species analyzed in negative mode with data-independent acquisition (MSe) in a Waters Xevo instrument. The available data were converted in .mzML format using the Waters2mzML software, available on Github. Detailed information about data acquisition: For MSe, data acquisition was performed in a UPLC system coupled to an ESI source and a QTOF XevoTM instrument (Waters Corp., Milford, MA, USA). Chromatographic separation was achieved using a C18 column (100 x 2.1 mm and 1.8 microm particle diameter, ACQUITY UPLC HSS T3), and a mobile phase gradient with a flow rate of 0.5 mL/min, composed of ACN/water, both phases acidified with 0.1% formic acid. The runtime was 10 minutes, with an injected sample volume of 5 microL, and the oven and shelf temperatures 40 C and 10 C, respectively. The chromatographic gradient began with an initial composition of 1 percent ACN and, was followed by a transition to 15 percent ACN at 0.1 min. Further changes in solvent composition occurred at 7.5 min (80 percent ACN), 8.5 min (99 percent ACN), and 8.6 min (1 percent ACN) until 10 min. The mass spectrometer was operated in MSe acquisition mode with alternating high and low-energy scans, for positive and negative ionization modes. The ionization energy was set at 3 eV for low-energy scans and 25-40 eV for high-energy scans. ESI-MS at a resolution up to 40.000 with a full mass scan range set from 50 to 1000 m/z for functions 1 and 2 was applied. Instrument parameters, including cone voltage (40 V), capillary voltage (3.0 kV), cone gas flow (30 L/h), auxiliary gas flow rate (10 L/h); desolvation temperature (300 C), source temperature (120 C), and desolvation gas flow (600 L/h), were carefully optimized. High-purity nitrogen was employed for desolvation, collision, and cone gas. To ensure accuracy and reproducibility, a solution of leucine-encephalin was used as a lock mass with m/z 554.2622 (ESI-) and m/z 556.2768 (ESI+) for identification. MS data were continuously collected, and lock spray calibration was performed every 10 seconds.
DOI: 10.34740/kaggle/dsv/7574492
title: Balochi Language to English Translation Dataset
DOI: 10.5281/zenodo.10579517
title: Source Data Files from publication: A Protein Misfolding Shaking Amplification-based method for the spontaneous generation of hundreds of infectious prions, Nature Communications 2024

description: This Dataset contains all the Source Data corresponding to the results from the manuscript entitled "A Protein Misfolding Shaking Amplification-based method for the spontaneous generation of hundreds of infectious prions", accepted for publication in Nature Communications Journal. The dataset includes uncropped scans of all gels and blots used to generated the final figures and tables (including Supplementary figures and tables), as well as the raw data used to generate the plots shown in the manuscript.

The dataset is organized by Figures and Tables, with the source data files containing all the information used in each figure or table included in a compressed (.zip) file. The figure and table numbering used in the manuscript is kept, with source data available for: Figures 1 & 2, Figure 3, Supplementary figure 1, Supplementary figure 2,  Supplementary figure 3, and Supplementary figure 4.

Manuscript abstract:

Prion diseases are a group of rapidly progressing neurodegenerative disorders caused by the misfolding of the endogenous prion protein (PrPC) into a pathogenic form (PrPSc). This process, despite being the central event underlying these disorders, remains largely unknown at a molecular level, precluding the prediction of new potential outbreaks or interspecies transmission incidents.

In this work, we present a method to generate infectious bona fide recombinant prions de novo, allowing a comprehensive analysis of protein misfolding across a wide range of prion proteins from mammalian species. We studied more than 380 different prion proteins from mammals and classified them according to their spontaneous misfolding propensity and their conformational variability.

This study aims to address fundamental questions in the prion research field such as defining infectivity determinants, interspecies transmission barriers or the structural influence of specific amino acids and provides invaluable information for future diagnosis and therapy applications.
DOI: 10.5281/zenodo.10579518
title: Source Data Files from publication: A Protein Misfolding Shaking Amplification-based method for the spontaneous generation of hundreds of infectious prions, Nature Communications 2024

description: This Dataset contains all the Source Data corresponding to the results from the manuscript entitled "A Protein Misfolding Shaking Amplification-based method for the spontaneous generation of hundreds of infectious prions", accepted for publication in Nature Communications Journal. The dataset includes uncropped scans of all gels and blots used to generated the final figures and tables (including Supplementary figures and tables), as well as the raw data used to generate the plots shown in the manuscript.

The dataset is organized by Figures and Tables, with the source data files containing all the information used in each figure or table included in a compressed (.zip) file. The figure and table numbering used in the manuscript is kept, with source data available for: Figures 1 & 2, Figure 3, Supplementary figure 1, Supplementary figure 2,  Supplementary figure 3, and Supplementary figure 4.

Manuscript abstract:

Prion diseases are a group of rapidly progressing neurodegenerative disorders caused by the misfolding of the endogenous prion protein (PrPC) into a pathogenic form (PrPSc). This process, despite being the central event underlying these disorders, remains largely unknown at a molecular level, precluding the prediction of new potential outbreaks or interspecies transmission incidents.

In this work, we present a method to generate infectious bona fide recombinant prions de novo, allowing a comprehensive analysis of protein misfolding across a wide range of prion proteins from mammalian species. We studied more than 380 different prion proteins from mammals and classified them according to their spontaneous misfolding propensity and their conformational variability.

This study aims to address fundamental questions in the prion research field such as defining infectivity determinants, interspecies transmission barriers or the structural influence of specific amino acids and provides invaluable information for future diagnosis and therapy applications.
DOI: 10.3886/e194404v2-143701
title: National ZIP Code Crosswalk (1990-2020)

description: This data set identifies changes in ZIP Code boundaries between 1990 and 2020, and provides numeric codes that cluster the ZIP Codes into the smallest geographic unit, or group of ZIP Codes, that are consistent across a decade: 1990 – 2000, 2000 – 2010, and 2010 – 2020. This “crosswalk” covers the contiguous United States, Alaska, Hawaii, and the District of Columbia. Since much administrative data is available with ZIP Code as the smallest identifiable geography, ZIP Codes are often used to embed observations from administrative data (patients, businesses, survey respondents, etc.) within their social, demographic, and economic contexts. However, ZIP Code boundaries change over time, resulting in measurement error (matching observations to the wrong contextual unit) or missing data (due to an observation reporting a ZIP Code that did not exist at the beginning of the observational period). These data were collected, and the crosswalk created, in an attempt to resolve these data quality issues.
description: Not Applicable
description: Response Rates: Not Applicable
description: Presence of Common Scales: Not Applicable
description: These data are a complete census of all ZIP Code boundary changes that were published in the U.S. Postal Bulletin between 1990-2020.
description: ZIP Code boundary changes published in the U.S. Postal Bulletin between 1990-2020.  . Smallest Geographic Unit: ZIP Code
description: The U.S. Postal Bulletin is a biweekly administrative publication produced by the U.S. Postal Service which identifies and publishes ZIP Code administrative changes that are of interest to postal workers. Some of these changes do not affect the shape of ZIP Code boundaries (such as reassigning of a ZIP Code to a new administrative office). In other cases, some changes that do affect boundaries are announced and later retracted, while in other cases a ZIP Code may experience multiple boundary changes over the course of a decade. In this dataset, we only include changes that affect the boundaries of a ZIP Code, and we include what we have identified as a final geographic cluster, accounting for all changes that went into effect. This is meant to allow for researchers to identify the specific geographic area that a ZIP Code may refer to over the course of a decade.
DOI: 10.3886/e194404v3
title: National ZIP Code Crosswalk (1990-2020)

description: This data set identifies changes in ZIP Code boundaries between 1990 and 2020, and provides numeric codes that cluster the ZIP Codes into the smallest geographic unit, or group of ZIP Codes, that are consistent across a decade: 1990 – 2000, 2000 – 2010, and 2010 – 2020. This “crosswalk” covers the contiguous United States, Alaska, Hawaii, and the District of Columbia. Since much administrative data is available with ZIP Code as the smallest identifiable geography, ZIP Codes are often used to embed observations from administrative data (patients, businesses, survey respondents, etc.) within their social, demographic, and economic contexts. However, ZIP Code boundaries change over time, resulting in measurement error (matching observations to the wrong contextual unit) or missing data (due to an observation reporting a ZIP Code that did not exist at the beginning of the observational period). These data were collected, and the crosswalk created, in an attempt to resolve these data quality issues.
description: Not Applicable
description: Response Rates: Not Applicable
description: Presence of Common Scales: Not Applicable
description: These data are a complete census of all ZIP Code boundary changes that were published in the U.S. Postal Bulletin between 1990-2020.
description: ZIP Code boundary changes published in the U.S. Postal Bulletin between 1990-2020.  . Smallest Geographic Unit: ZIP Code
description: The U.S. Postal Bulletin is a biweekly administrative publication produced by the U.S. Postal Service which identifies and publishes ZIP Code administrative changes that are of interest to postal workers. Some of these changes do not affect the shape of ZIP Code boundaries (such as reassigning of a ZIP Code to a new administrative office). In other cases, some changes that do affect boundaries are announced and later retracted, while in other cases a ZIP Code may experience multiple boundary changes over the course of a decade. In this dataset, we only include changes that affect the boundaries of a ZIP Code, and we include what we have identified as a final geographic cluster, accounting for all changes that went into effect. This is meant to allow for researchers to identify the specific geographic area that a ZIP Code may refer to over the course of a decade.