cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.22657049.v1
title: ‘Flash <i>Mobula</i>’: first observations of courtship behaviour of the shortfin devil ray <i>Mobula kuhlii</i>

description: First-time observations of courtship behaviour of the Endangered shortfin devil ray <i>Mobula kuhlii</i> are described from the Aliwal Shoal Marine Protected Area (MPA), KwaZulu-Natal, South Africa. Three events of <i>M. kuhlii</i> courtship, called ‘mating trains’, were recorded on video during the months of November 2020 and January 2021. These included a near-term pregnant female, and two lead females followed by up to four males. The common behaviours associated with courtship were documented: multiple males following a single female, rapid speed bursts, avoidance of the female, and swerving. This study confirms that <i>M. kuhlii</i> mating occurs in KwaZulu-Natal waters and that courtship is similar across mobulids. The findings demonstrate the importance of the habitat provided by the Aliwal Shoal MPA for this currently unprotected species.
DOI: 10.5281/zenodo.7888061
title: RISE-UNIBAS/crowdtangle-api-schema

description: Simple ontological representation of the CrowdTangle API (https://github.com/CrowdTangle/API) to be used in a Tropy metadata template (https://docs.tropy.org/in-the-template-editor/using-templates).
description: If you use this dataset, please cite it as below.
DOI: 10.5281/zenodo.7888062
title: RISE-UNIBAS/crowdtangle-api-schema

description: Simple ontological representation of the CrowdTangle API (https://github.com/CrowdTangle/API) to be used in a Tropy metadata template (https://docs.tropy.org/in-the-template-editor/using-templates).
description: If you use this dataset, please cite it as below.
DOI: 10.3886/e156821v1-137900
title: Data and Code for: What Caused Racial Disparities in Particulate Exposure to Fall? New Evidence from the Clean Air Act and Satellite-Based Measures of Air Quality

description: Racial differences in exposure to ambient air pollution have declined significantly in the United States over the past 20 years. This project links administrative Census microdata to newly available, spatially contin- uous high resolution measures of ambient particulate pollution (PM2.5) to examine the underlying causes and consequences of differences in Black-White pollution exposures. We begin by decomposing differences in pollution exposure into components explained by observable population characteristics (e.g., income) versus those that remain unexplained. We then use quantile regression methods to show that a significant portion of the “unexplained” convergence in Black-White pollution exposure can be attributed to differ- ential impacts of the Clean Air Act (CAA) in African American and non-Hispanic White communities. Areas with larger Black populations saw greater CAA-related declines in PM2.5 exposure. We show that the CAA has been the single largest contributor to racial convergence in PM2.5 pollution exposure in the U.S. since 2000 accounting for over 60 percent of the reduction.
description: Sample of individuals and households in the United States.
DOI: 10.5281/zenodo.7861977
title: Data for "Influences of Glyphosate Contaminations and Concentrate Feed on Performance, Blood Parameters, Blood Cell Functionality and DNA Damage Properties in Fattening Bulls"

description: The deposited data consist of three data tables and three tables containing legends for the data: oneTimepoint.txt contains data from statistical tests within one timepoint; oneTimepoint_legend.txt contains the corresponding legend. threeTimepoints.txt contains data from statistical tests inclduing three distinct timepoints; threeTimepoints_legend.txt contains the corresponding legend. Performance.txt contains data from statistical tests inclduing two time periods in fattening; Performance_legend.txt contains the corresponding legend.
DOI: 10.5281/zenodo.7861978
title: Data for "Influences of Glyphosate Contaminations and Concentrate Feed on Performance, Blood Parameters, Blood Cell Functionality and DNA Damage Properties in Fattening Bulls"

description: The deposited data consist of three data tables and three tables containing legends for the data: oneTimepoint.txt contains data from statistical tests within one timepoint; oneTimepoint_legend.txt contains the corresponding legend. threeTimepoints.txt contains data from statistical tests inclduing three distinct timepoints; threeTimepoints_legend.txt contains the corresponding legend. Performance.txt contains data from statistical tests inclduing two time periods in fattening; Performance_legend.txt contains the corresponding legend.
DOI: 10.5517/ccdc.csd.cc2f1w7m
title: CCDC 2236130: Experimental Crystal Structure Determination

description: Related Article: Mikko Hänninen, Ari Lehtonen, Reijo Sillanpää|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.cc2f1x2h
title: CCDC 2236156: Experimental Crystal Structure Determination

description: Related Article: Mauricio Fuentealba, Nathaly Rubio|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.cc2f1xw9
title: CCDC 2236181: Experimental Crystal Structure Determination

description: Related Article: Ahmed N. Hammouda, Fatin M. Elmagbari, Rashd. M. EL-Ferjani, Saied M. Soliman, Graham E. Jackson, Fareedah Ahmed|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.cc2f21f0
title: CCDC 2236291: Experimental Crystal Structure Determination

description: Related Article: Xiang Lyu|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.cc2f22rc
title: CCDC 2236332: Experimental Crystal Structure Determination

description: Related Article: Yuping Yuan|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.cc2f28zs
title: CCDC 2236525: Experimental Crystal Structure Determination

description: Related Article: Sara Durini, Evamarie Hey-Hawkins, Toni Grell|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.cc2f292x
title: CCDC 2236528: Experimental Crystal Structure Determination

description: Related Article: Mikko Hänninen, Ari Lehtonen, Reijo Sillanpää|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.cc2f2972
title: CCDC 2236533: Experimental Crystal Structure Determination

description: Related Article: Sara Durini, Evamarie Hey-Hawkins, Toni Grell|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.cc2f2994
title: CCDC 2236535: Experimental Crystal Structure Determination

description: Related Article: Toni Grell, Tim Zebisch, Evamarie Hey-Hawkins|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.cc2f6jw2
title: CCDC 2240614: Experimental Crystal Structure Determination

description: Related Article: Guoxia Jin, Congcong Han, Xinxue Liu, Haiying Wang, Jianping Ma|2023|Inorg.Chem.|62|6544|doi:10.1021/acs.inorgchem.3c00437
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.cc2f6lbl
title: CCDC 2240659: Experimental Crystal Structure Determination

description: Related Article: Łukasz Kielesiński, Francesco F. Summa, Jeanet Conradie, Hilah C. Honig, Ariel Friedman, Gugliemo Monaco, Lior Elbaz, Abhik Ghosh, Daniel T. Gryko|2023|Chem.Commun.|59|5439|doi:10.1039/D3CC01083J
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.cc2f6nht
title: CCDC 2240726: Experimental Crystal Structure Determination

description: Related Article: Richard D. James, Fabio Cucinotta, Paul G. Waddell, Andrew C. Benniston|2023|New J.Chem.|47|8451|doi:10.1039/D3NJ00633F
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.cc2f6njv
title: CCDC 2240727: Experimental Crystal Structure Determination

description: Related Article: Richard D. James, Fabio Cucinotta, Paul G. Waddell, Andrew C. Benniston|2023|New J.Chem.|47|8451|doi:10.1039/D3NJ00633F
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.cc2f6pt5
title: CCDC 2240767: Experimental Crystal Structure Determination

description: Related Article: Lehui Liu, Feifei Yuan, Yisheng Huang, Zhoubin Lin, Lizhen Zhang|2023|Dalton Trans.|52|5798|doi:10.1039/D3DT00581J
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.cc2f23tg
title: CCDC 2236365: Experimental Crystal Structure Determination

description: Related Article: Brendan F. Abrahams, Christopher J. Commons and Timothy A. Hudson|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.cc2f6x1m
title: CCDC 2240960: Experimental Crystal Structure Determination

description: Related Article: Joshua Parche, Susanne M. Rupf, Robin Sievers, Moritz Malischewski|2023|Dalton Trans.|52|5496|doi:10.1039/D3DT00425B
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.7885495
title: MUSES Leaf Area Index (LAI) Monthly Global 1km SIN Grid in 2006

description: The MUltiscale Satellite remotE Sensing (MUSES) product suite includes products with different spatial and temporal resolutions for parameters such as Normalized Difference Vegetation Index (NDVI), Near-Infrared Reflectance of Vegetation (NIRv), Leaf Area Index (LAI), Fraction of Absorbed Photosynthetically Active Radiation (FAPAR), Fractional Vegetation Coverage (FVC), Gross Primary Production (GPP), Net Primary Production (NPP). For more information about the MUSES products, please refer to this website (https://muses.bnu.edu.cn/). This dataset is the MUSES global LAI product at 1 km spatial resolution and monthly temporal resolution. The MUSES LAI product is provided on a Sinusoidal grid and spans from 2000 to 2019 (continuously updated). It was generated from time-series Moderate Resolution Imaging Spectroradiometer (MODIS) surface reflectance product using general regression neural networks (GRNNs) (Xiao <em>et al</em>., 2014; Xiao <em>et al.</em>, 2016). The MUSES LAI product is spatially complete and temporally continuous. This dataset is the MUSES LAI product in 2006. <em>Please <strong>click here</strong> to download the MUSES LAI product <strong>in 2005</strong></em>, <em>and <strong>click here</strong> to download the MUSES LAI product <strong>in 2007</strong></em>. <strong>Dataset Characteristics:</strong> Spatial Coverage: Global Temporal Coverage: 2006 Spatial Resolution: 1 km Temporal Resolution: 1 month Projection: Sinusoidal Data Format: HDF Scale: 0.01 Valid Range: 0 – 1000 <strong>Citation </strong>(Please cite this paper whenever these data are used)<strong>:</strong> Xiao Zhiqiang, <em>et al</em>. (2014). Use of General Regression Neural Networks for Generating the GLASS Leaf Area Index Product From Time-Series MODIS Surface Reflectance. <em>IEEE Transactions on Geoscience and Remote Sensing</em>, 52, 209-223. Xiao Zhiqiang, <em>et al</em>. (2016). Long-time-series global land surface satellite leaf area index product derived from MODIS and AVHRR surface reflectance. <em>IEEE Transactions on Geoscience and Remote Sensing</em>, 54, 5301-5318. Xiao Zhiqiang, Jinling Song, Hua Yang, Rui Sun and Juan Li. (2022). A 250 m resolution global leaf area index product derived from MODIS surface reflectance data. <em>International Journal of Remote Sensing</em>, 43(4), 1199-1225. Xiao Zhiqiang, <em>et al</em>. (2017). Evaluation of four long time-series global leaf area index products. <em>Agricultural and Forest Meteorology</em>, 246, 218-230. If you have any questions, please contact Prof. Zhiqiang Xiao (zhqxiao@bnu.edu.cn).
DOI: 10.5281/zenodo.7885494
title: MUSES Leaf Area Index (LAI) Monthly Global 1km SIN Grid in 2006

description: The MUltiscale Satellite remotE Sensing (MUSES) product suite includes products with different spatial and temporal resolutions for parameters such as Normalized Difference Vegetation Index (NDVI), Near-Infrared Reflectance of Vegetation (NIRv), Leaf Area Index (LAI), Fraction of Absorbed Photosynthetically Active Radiation (FAPAR), Fractional Vegetation Coverage (FVC), Gross Primary Production (GPP), Net Primary Production (NPP). For more information about the MUSES products, please refer to this website (https://muses.bnu.edu.cn/). This dataset is the MUSES global LAI product at 1 km spatial resolution and monthly temporal resolution. The MUSES LAI product is provided on a Sinusoidal grid and spans from 2000 to 2019 (continuously updated). It was generated from time-series Moderate Resolution Imaging Spectroradiometer (MODIS) surface reflectance product using general regression neural networks (GRNNs) (Xiao <em>et al</em>., 2014; Xiao <em>et al.</em>, 2016). The MUSES LAI product is spatially complete and temporally continuous. This dataset is the MUSES LAI product in 2006. <em>Please <strong>click here</strong> to download the MUSES LAI product <strong>in 2005</strong></em>, <em>and <strong>click here</strong> to download the MUSES LAI product <strong>in 2007</strong></em>. <strong>Dataset Characteristics:</strong> Spatial Coverage: Global Temporal Coverage: 2006 Spatial Resolution: 1 km Temporal Resolution: 1 month Projection: Sinusoidal Data Format: HDF Scale: 0.01 Valid Range: 0 – 1000 <strong>Citation </strong>(Please cite this paper whenever these data are used)<strong>:</strong> Xiao Zhiqiang, <em>et al</em>. (2014). Use of General Regression Neural Networks for Generating the GLASS Leaf Area Index Product From Time-Series MODIS Surface Reflectance. <em>IEEE Transactions on Geoscience and Remote Sensing</em>, 52, 209-223. Xiao Zhiqiang, <em>et al</em>. (2016). Long-time-series global land surface satellite leaf area index product derived from MODIS and AVHRR surface reflectance. <em>IEEE Transactions on Geoscience and Remote Sensing</em>, 54, 5301-5318. Xiao Zhiqiang, Jinling Song, Hua Yang, Rui Sun and Juan Li. (2022). A 250 m resolution global leaf area index product derived from MODIS surface reflectance data. <em>International Journal of Remote Sensing</em>, 43(4), 1199-1225. Xiao Zhiqiang, <em>et al</em>. (2017). Evaluation of four long time-series global leaf area index products. <em>Agricultural and Forest Meteorology</em>, 246, 218-230. If you have any questions, please contact Prof. Zhiqiang Xiao (zhqxiao@bnu.edu.cn).
DOI: 10.5281/zenodo.7874914
title: Data underlying the publication: "Effects of hatching system on chick quality, welfare and health of young breeder flock offspring"

description: The aim of the current study was to evaluate effects of two alternative hatching systems (hatchery-feeding and on-farm hatching)<br> compared to conventional hatching systems with respect to chick quality, welfare and health of a young breeder flock.<br> To study the effect of treatments on the competence of the humoral immune response, blood titres after a live attenuated NCD<br> vaccination was assessed.<br> To study differences in disease resilience, the susceptibility to develop tracheal inflammation after infection with a<br> life attenuated infectious bronchitis vaccine virus was assessed by trachea lesion scoring and expression of genes related<br> to epithelial integrity and inflammatory responses.
DOI: 10.5281/zenodo.7874913
title: Data underlying the publication: "Effects of hatching system on chick quality, welfare and health of young breeder flock offspring"

description: The aim of the current study was to evaluate effects of two alternative hatching systems (hatchery-feeding and on-farm hatching)<br> compared to conventional hatching systems with respect to chick quality, welfare and health of a young breeder flock.<br> To study the effect of treatments on the competence of the humoral immune response, blood titres after a live attenuated NCD<br> vaccination was assessed.<br> To study differences in disease resilience, the susceptibility to develop tracheal inflammation after infection with a<br> life attenuated infectious bronchitis vaccine virus was assessed by trachea lesion scoring and expression of genes related<br> to epithelial integrity and inflammatory responses.
DOI: 10.5281/zenodo.7890155
title: Designed Rubredoxin miniature in a fully artificial electron chain triggered by visible light

description: <strong>Data type</strong>: Experimental spectroscopic measurements, computer plots. Files are with filename extensions: .<strong>DSC</strong>, .<strong>DAT</strong>, .<strong>txt</strong>, .<strong>m</strong> Information on <strong>origin of the data</strong>: EPR spectroscopic measurements with filename extensions: .<strong>DSC</strong>, .<strong>DTA</strong>, .<strong>txt</strong>. EPR spectroscopic plots with filename extension: .<strong>m</strong>. CW-EPR X-band were performed on a Bruker Elexys E580 X-band spectrometer (microwave frequency 9.76 GHz) equipped with a cylindrical dielectric cavity and a helium gas-flow cryostat from Oxford Inc. The spectrum was recorded at 4.5 K and a microwave power of 1mW, a modulation amplitude of 0.7mT and a modulation frequency of 100 KHz were used. Raw and Processed Data, and Computational Protein Design files <strong>If the dataset includes multiple files that relate to each other:</strong> Files in <strong>PARACAT_WP5_20230425_CW</strong> folder includes X-band CW-EPR spectroscopic measurements, original data are in .<strong>DTA</strong>/.<strong>DSC</strong>/.<strong>txt</strong>. Files in <strong>PARACAT_WP5_20230425_MATLAB</strong> folder includes plots of the EPR measurements, data are in .<strong>m</strong> format. <strong>Information on</strong>: Specialized abbreviations: <strong>EPR</strong> – Electron Paramagnetic Resonance; <strong>CW</strong> – Continuous Wave-EPR; <strong>METP</strong> - Miniaturized Electron Transfer Protein; METP<strong>sc</strong>1 - single-chain high-potential miniaturized electron transfer protein. Definitions of variables: <strong>Magnetic field, Temperature</strong>. Units of measurement: <strong>Gauss (G), milliTesla (mT), Kelvin (K)</strong>
description:  Files with extension .m are MATLAB input files. MATLAB license can be acquired at the link https://it.mathworks.com/downloads/web_downloads/. To run the codes present in these files, it is necessary to install, in MATLAB, a free toolbox called EasySpin, which can be found at the link https://easyspin.org/.