cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5517/ccdc.csd.cc2fxyht
title: CCDC 2262147: Experimental Crystal Structure Determination

description: Related Article: Yu Wu, Fangfang Xia, Congzhu Li, Madhav Raj Jayswal, Om Prakash, Mohd. Muddassir|2023|Inorg.Chim.Acta|558|121723|doi:10.1016/j.ica.2023.121723
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.cc2fyd4y
title: CCDC 2262570: Experimental Crystal Structure Determination

description: Related Article: Ernst Gottfried Jäger, Anja Guba, Görls, Helmar|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.cc2fyd5z
title: CCDC 2262571: Experimental Crystal Structure Determination

description: Related Article: Ernst Gottfried Jäger, Anja Guba, Görls, Helmar|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.cc2fyd60
title: CCDC 2262572: Experimental Crystal Structure Determination

description: Related Article: Ernst Gottfried Jäger, Anja Guba, Görls, Helmar|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.cc2fyd71
title: CCDC 2262573: Experimental Crystal Structure Determination

description: Related Article: Ernst Gottfried Jäger, Anja Guba, Görls, Helmar|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.cc2fyd82
title: CCDC 2262574: Experimental Crystal Structure Determination

description: Related Article: Ernst Gottfried Jäger, Anja Guba, Görls, Helmar|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.cc2fydc5
title: CCDC 2262577: Experimental Crystal Structure Determination

description: Related Article: Ernst Gottfried Jäger, Anja Guba, Görls, Helmar|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.cc2fydd6
title: CCDC 2262578: Experimental Crystal Structure Determination

description: Related Article: Ernst Gottfried Jäger, Anja Guba, Görls, Helmar|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.cc2fydjb
title: CCDC 2262582: Experimental Crystal Structure Determination

description: Related Article: Ernst Gottfried Jäger, Anja Guba, Görls, Helmar|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: 10.25387/g3.24019197
title: Supplemental Materials for Schall et al., 2023

description: Basecalling of JARDRD000000000, JARDRE000000000, and JARDRF000000000 were conducted using Guppy v5.0.11 with configuration file <em>dna_r9.4.1_450bps_hac_prom.cfg. </em>Publically available fastq files were utilized for DAOUOP000000000. Initial assembly of reads were generated using Flye v2.9, with standard settings. This was followed by three rounds of assembly polishing with standard settings with Racon v1.5.0, (Vaser et al. 2017). Sequence correction was applied with Medaka v1.6.1, followed by assembly correction with RagTag v2.1.0. Scaffolding of the assembly to the CanFam4 German Shepherd genome (UU_Cfam_GSD_1.0, GCF_011100685.1), supplemented with three Y chromosome sequences from a Labrador Retriever (ROS_Cfam_1.0, GCF_014441545.1), was conducted using RagTag. Closure of assembly gaps was completed using TGS-GapCloser v1.0.1 (RRID:SCR_017633), with standard settings. Final polishing of the assembly with short-read Illumina data was conducted using NextPolish v1.4.1 using standard settings. Removal of contigs with unusual sequence coverage using the package Purge_Haplotigs v1.1.2. Gene annotations in GTF format were converted from UU_Cfam_GSD_1.0 coordinates to each assembly using Liftoff v1.6.3.
DOI: 10.25387/g3.24019197.v1
title: Supplemental Materials for Schall et al., 2023

description: Basecalling of JARDRD000000000, JARDRE000000000, and JARDRF000000000 were conducted using Guppy v5.0.11 with configuration file <em>dna_r9.4.1_450bps_hac_prom.cfg. </em>Publically available fastq files were utilized for DAOUOP000000000. Initial assembly of reads were generated using Flye v2.9, with standard settings. This was followed by three rounds of assembly polishing with standard settings with Racon v1.5.0, (Vaser et al. 2017). Sequence correction was applied with Medaka v1.6.1, followed by assembly correction with RagTag v2.1.0. Scaffolding of the assembly to the CanFam4 German Shepherd genome (UU_Cfam_GSD_1.0, GCF_011100685.1), supplemented with three Y chromosome sequences from a Labrador Retriever (ROS_Cfam_1.0, GCF_014441545.1), was conducted using RagTag. Closure of assembly gaps was completed using TGS-GapCloser v1.0.1 (RRID:SCR_017633), with standard settings. Final polishing of the assembly with short-read Illumina data was conducted using NextPolish v1.4.1 using standard settings. Removal of contigs with unusual sequence coverage using the package Purge_Haplotigs v1.1.2. Gene annotations in GTF format were converted from UU_Cfam_GSD_1.0 coordinates to each assembly using Liftoff v1.6.3.
DOI: 10.3886/e114560v1-141263
title: Replication data for: Comparing Charitable Fundraising Schemes: Evidence from a Natural Field Experiment and a Structural Model

description: We present evidence from a natural field experiment and structural model to shed light on the efficacy of alternative fundraising schemes. In conjunction with the Bavarian State Opera, we mailed 25,000 opera attendees a letter describing a charitable fundraising project organized by the opera house. Recipients were randomly assigned to treatments designed to explore responses to fundraising schemes varying in: the presence of a lead donor; and how individual donations would be matched using the lead donation. The structural model estimates extensive and intensive margin responses, and is then utilized to predict giving behavior in counterfactual fundraising schemes. (JEL C93, D64, L31, L82)
DOI: 10.6084/m9.figshare.20463939
title: DLAM train data

description: The train dataset of ovarian cancer acquired using galvo-resonant scanning system and dual-axis galvo scanning system. If you use these data, please cite the corresponding work:Shen, B., Liu, S., Li, Y. <i>et al.</i> Deep learning autofluorescence-harmonic microscopy. <i>Light Sci Appl</i> <b>11</b>, 76 (2022). <br><br>
DOI: 10.6084/m9.figshare.20463939.v1
title: DLAM train data

description: The train dataset of ovarian cancer acquired using galvo-resonant scanning system and dual-axis galvo scanning system. If you use these data, please cite the corresponding work:Shen, B., Liu, S., Li, Y. <i>et al.</i> Deep learning autofluorescence-harmonic microscopy. <i>Light Sci Appl</i> <b>11</b>, 76 (2022). <br><br>
DOI: 10.5281/zenodo.8101702
title: MetaPep: A core peptide database for faster human gut metaproteomics database searches

description: Metaproteomics has increasingly been applied to study functional changes in the human gut microbiome. And peptide identification is an important step in metaproteomics research. However, the large search space in metaproteomics studies causes significant challenges for peptide identification. Here, we constructed MetaPep, a core peptide database (including both collections of peptide sequences and tandem MS spectra) greatly accelerating the peptide identifications. Raw files from fifteen metaproteomics projects were re-analyzed and the identified peptide-spectrum matches (PSMs) were used to construct the MetaPep database. The constructed MetaPep database achieved rapid and accurate identification of peptides for human gut metaproteomics.
DOI: 10.5281/zenodo.8101701
title: MetaPep: A core peptide database for faster human gut metaproteomics database searches

description: Metaproteomics has increasingly been applied to study functional changes in the human gut microbiome. And peptide identification is an important step in metaproteomics research. However, the large search space in metaproteomics studies causes significant challenges for peptide identification. Here, we constructed MetaPep, a core peptide database (including both collections of peptide sequences and tandem MS spectra) greatly accelerating the peptide identifications. Raw files from fifteen metaproteomics projects were re-analyzed and the identified peptide-spectrum matches (PSMs) were used to construct the MetaPep database. The constructed MetaPep database achieved rapid and accurate identification of peptides for human gut metaproteomics.
DOI: 10.6084/m9.figshare.24081438.v20
title: lunar_surface_chemistry_maps

description: The data files depict the Mg# values and the abundances of SiO2, TiO2, Al2O3, FeO, MgO and CaO observed by the KAGUYA multiband imager. The data files are in the format of .tif and can be opend by the software ArcGIS.
DOI: 10.5517/ccdc.csd.cc2ftf5w
title: CCDC 2258758: Experimental Crystal Structure Determination

description: Related Article: Xiaoyong Zhang, Jing Chen, Shengli Yong, Yulong Zhao|2023|Tetrahedron Lett.|128|154700|doi:10.1016/j.tetlet.2023.154700
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.cc2fybsj
title: CCDC 2262528: Experimental Crystal Structure Determination

description: Related Article: Ehsan Joukar Bahaderani|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.cc2fy990
title: CCDC 2262482: Experimental Crystal Structure Determination

description: Related Article: Ehsan Joukar Bahaderani|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.cc2g42tj
title: CCDC 2268047: Experimental Crystal Structure Determination

description: Related Article: Rongchao Lei, Wenjie Lan, Mengzhu Li, Zhaohai Qin, Bin Fu|2023|Tetrahedron Lett.|128|154697|doi:10.1016/j.tetlet.2023.154697
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: 10.5519/qd.4gai06ka
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (388 records)
DOI: 10.5281/zenodo.7573487
title: DistanceRoughnessTransfer

description: Responses and order lists
DOI: 10.5281/zenodo.7573486
title: DistanceRoughnessTransfer

description: Responses and order lists
DOI: 10.6084/m9.figshare.24084393.v1
title: Data- Digital teaching competence of higher education professors.xlsx

description: This study focuses on the self-perception of digital competencies among university teachers, using the DigCompEdu Check-in standard for accurate assessment. The instrument allows for interdisciplinary comparison and contributes to identifying areas of strength and improvement in teacher professional development.
DOI: 10.6084/m9.figshare.24084774
title: interact_kt

description: Interact effect
DOI: 10.5281/zenodo.8319440
title: High spatial resolution dataset of downscaled LUH2 land use scenarios for Belgium (10 m and 100 m)

description: This dataset comprises high-resolution land use data downscaled from LUH2 scenarios for Belgium at both 10 m and 100 m resolutions. These datasets were generated based on research conducted by Rashidi et al. in 2023 and published in the Land Journal. We employed the GLOBIO land allocation routine to downscale fractional land use data, originally at a 0.25° resolution (approximately 25 km), into discrete land use maps at 10 m and 100 m resolutions. This process utilized three distinct reference land cover maps: ESA WorldCover at 10 m resolution, ESA WorldCover upscaled to 100 m resolution, and CORINE land cover at 100 m resolution. During the downsizing process, we considered three SSP-RCP scenarios to model land use trends for both the present and the year 2050 on a national scale in Belgium. Key components of the model included regional land use demand, an assessment of grid cells' suitability for various land use types, and a reference land cover map. It's important to note that the classification system used in the reference maps differs from that of LUH2. To ensure comparability for land use simulations, we conducted a reclassification process following the methodologies outlined by Pérez-Hoyos et al. (2012), Dong et al. (2018), and Liao et al. (2020). This reclassification consolidated land use classes, except for water, into seven general categories: 1) urban, 2) cropland, 3) pasture, 4) forestry, 5) secondary vegetation, 6) undefined, and 7) natural. The raw data consists of three folders corresponding to the three reference maps, each containing four TIFF files (.tif), one for each scenario type.
DOI: 10.5281/zenodo.8319439
title: High spatial resolution dataset of downscaled LUH2 land use scenarios for Belgium (10 m and 100 m)

description: This dataset comprises high-resolution land use data downscaled from LUH2 scenarios for Belgium at both 10 m and 100 m resolutions. These datasets were generated based on research conducted by Rashidi et al. in 2023 and published in the Land Journal. We employed the GLOBIO land allocation routine to downscale fractional land use data, originally at a 0.25° resolution (approximately 25 km), into discrete land use maps at 10 m and 100 m resolutions. This process utilized three distinct reference land cover maps: ESA WorldCover at 10 m resolution, ESA WorldCover upscaled to 100 m resolution, and CORINE land cover at 100 m resolution. During the downsizing process, we considered three SSP-RCP scenarios to model land use trends for both the present and the year 2050 on a national scale in Belgium. Key components of the model included regional land use demand, an assessment of grid cells' suitability for various land use types, and a reference land cover map. It's important to note that the classification system used in the reference maps differs from that of LUH2. To ensure comparability for land use simulations, we conducted a reclassification process following the methodologies outlined by Pérez-Hoyos et al. (2012), Dong et al. (2018), and Liao et al. (2020). This reclassification consolidated land use classes, except for water, into seven general categories: 1) urban, 2) cropland, 3) pasture, 4) forestry, 5) secondary vegetation, 6) undefined, and 7) natural. The raw data consists of three folders corresponding to the three reference maps, each containing four TIFF files (.tif), one for each scenario type.
DOI: 10.6084/m9.figshare.24081438.v21
title: lunar_surface_chemistry_maps

description: The data files depict the Mg# values and the abundances of SiO2, TiO2, Al2O3, FeO, MgO and CaO observed by the KAGUYA multiband imager. The data files are in the format of .tif and can be opend by the software ArcGIS.
DOI: 10.5066/p9tqgrdw
title: Aeromagnetic and derivative gridded data, and magnetization boundaries of northeastern California

description: This data release contains gridded aeromagnetic data from a dataset that merges two aeromagnetic surveys of northeastern California. Data from the Alturas and Burney surveys were gridded and merged to provide a continuous, detailed aeromagnetic dataset of the region. The merged dataset was then corrected for the inclination of the Earth's magnetic field (reduced to pole or rtp); match-filtering of the merged rtp gridded dataset provides three dipole-equivalent source layers at 0.85 km (shallow), 3.28 km (medium), and 16.4 (deep) km. Magnetization boundaries were calculated using the maximum horizontal gradient method on the match-filtered gridded data. Lastly, a magnetic field caused by magnetic terrain was calculated to compare with observed magnetic field gridded values.
DOI: 10.6084/m9.figshare.24084822
title: 20230906_starrydata2

description: All data on Starrydata2, a database of experimental properties in the field of inorganic materials
DOI: 10.6084/m9.figshare.24084822.v1
title: 20230906_starrydata2

description: All data on Starrydata2, a database of experimental properties in the field of inorganic materials
DOI: 10.15139/s3/zm3axa
title: Replication Data for: What Americans Know About Statehouse Democracy

description: Political scientists have largely come to a consensus that “most citizens are politically uninformed” (Delli Carpini and Keeter 1997), but even with increased attention to state-level representation and electoral behavior, political scientists know surprisingly little themselves regarding what Americans know about state politics. Past studies of state political knowledge examine narrow domains of knowledge and make few comparisons between individuals’ understanding of national and state politics. To provide a more comprehensive account of Americans’ state political knowledge, I conducted a novel national survey that included over 30 political knowledge questions. In a descriptive and exploratory analysis, I show Americans demonstrated more knowledge about who their Governor is but less knowledge about who represents them in the state legislature, state government institutions, and the state economy, particularly compared to their knowledge of federal politics. The different levels of political knowledge across different domains and levels of government raise concerns for statehouse democracy and should be considered before testing theories at the state level. To guide future research and surveys, I identify political knowledge questions that discriminate well between those who know little, some, and a lot about state politics across different domains of political knowledge.
DOI: 10.48366/r609570
title: Comparison of the use of AIS data in the processing of ship trajectories using machine learning

description: The review provides an insight into research that uses machine learning methods with the aim of processing ship trajectories based on AIS data in water transport. Machine learning methods are used in the extraction, interpolation and classification of ship trajectories. Extraction of ship trajectories refers to the process of identifying and extracting the paths followed by vessels based on the AIS data. Interpolation of ship trajectories refers to the process of estimating the positions of vessels at times when no AIS data is available. This is typically done using mathematical algorithms that can predict the vessel's position based on its previous positions and other available information, such as its speed and direction of travel. Classification of ship trajectories refers to the process of categorizing vessel trajectories based on their characteristics, such as their speed, direction, and other features. AIS is a tracking system used by ships and vessels to broadcast their position, speed, and other information to other ships and shore-based stations.
DOI: 10.3886/e192425v1-141264
title: CJA Release Assessment - NYC Arraignments from 2009 to 2015

description: The dataset describes roughly one million arraignments, which occurred in New York City between 2009 and 2015, and which were continued at the time of arraignment. The dataset is comprised of administrative data collected by city, state, and non-profit agencies, as well as variable fields derived from that administrative data, including information like: <br><br>details about the arrest (e.g., the type of charge for which a defendant was arrested); details about the defendant’s criminal history at the time of the arraignment (e.g., whether the defendant had ever failed to appear in court before); and subsequent case outcomes (e.g., whether the defendant returned to court throughout the pretrial period). The dataset also includes basic demographic information about defendants (for instance race and ethnicity), so that the performance of the predictive model could be tested with respect to equity. The complete list of all variable fields in the public dataset can be found in the attached codebook.