cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5517/ccdc.csd.cc2d1yt7
title: CCDC 2206419: Experimental Crystal Structure Determination

description: Related Article: Jiade Yang, Jiaying Zhang, Jintao Wu, Yunchen Huang, Xiyu Yang, Yatong Shi, Yurui Wang, Wenchao Qu, Hui Zhao, Tingting Chen|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.cc2d1yv8
title: CCDC 2206420: Experimental Crystal Structure Determination

description: Related Article: Jiade Yang, Jiaying Zhang, Jintao Wu, Yunchen Huang, Xiyu Yang, Yatong Shi, Yurui Wang, Wenchao Qu, Hui Zhao, Tingting Chen|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.cc2d1yw9
title: CCDC 2206421: Experimental Crystal Structure Determination

description: Related Article: Jiade Yang, Jiaying Zhang, Jintao Wu, Yunchen Huang, Xiyu Yang, Yatong Shi, Yurui Wang, Wenchao Qu, Hui Zhao, Tingting Chen|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.cc2d1yxb
title: CCDC 2206422: Experimental Crystal Structure Determination

description: Related Article: Jiade Yang, Jiaying Zhang, Jintao Wu, Yunchen Huang, Xiyu Yang, Yatong Shi, Yurui Wang, Wenchao Qu, Hui Zhao, Tingting Chen|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.cc2d292w
title: CCDC 2206737: Experimental Crystal Structure Determination

description: Related Article: Mark R.J. Elsegood, Salem Talib, and Philp C. Bulman Page|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.cc28bpp0
title: CCDC 2095652: Experimental Crystal Structure Determination

description: Related Article: Mzgin  Ayoob|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.cc2d2g76
title: CCDC 2206897: Experimental Crystal Structure Determination

description: Related Article: Matthew C Risi, Tatiana Groutso|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.cc2d2pqx
title: CCDC 2207129: Experimental Crystal Structure Determination

description: Related Article: XUE ZHAO|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.cc2d2psz
title: CCDC 2207131: Experimental Crystal Structure Determination

description: Related Article: Ryota Akai|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.cc2d2pt0
title: CCDC 2207132: Experimental Crystal Structure Determination

description: Related Article: Ryota Akai|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.cc2d2s8k
title: CCDC 2207208: Experimental Crystal Structure Determination

description: Related Article: C. Smitha Rose, T. Suthan|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.cc2dbsfz
title: CCDC 2214901: Experimental Crystal Structure Determination

description: Related Article: Yi Heng, Tongyu Li, Dongwei Wang, Guohua Hou, Guofu Zi, Marc D. Walter|2022|Organometallics|42|91|doi:10.1021/acs.organomet.2c00529
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.cc2dbsj2
title: CCDC 2214904: Experimental Crystal Structure Determination

description: Related Article: Yi Heng, Tongyu Li, Dongwei Wang, Guohua Hou, Guofu Zi, Marc D. Walter|2022|Organometallics|42|91|doi:10.1021/acs.organomet.2c00529
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.cc2dbs4p
title: CCDC 2214892: Experimental Crystal Structure Determination

description: Related Article: Yi Heng, Tongyu Li, Dongwei Wang, Guohua Hou, Guofu Zi, Marc D. Walter|2022|Organometallics|42|91|doi:10.1021/acs.organomet.2c00529
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.cc2dbrvc
title: CCDC 2214883: Experimental Crystal Structure Determination

description: Related Article: Yi Heng, Tongyu Li, Dongwei Wang, Guohua Hou, Guofu Zi, Marc D. Walter|2022|Organometallics|42|91|doi:10.1021/acs.organomet.2c00529
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.cc2dbrzh
title: CCDC 2214887: Experimental Crystal Structure Determination

description: Related Article: Yi Heng, Tongyu Li, Dongwei Wang, Guohua Hou, Guofu Zi, Marc D. Walter|2022|Organometallics|42|91|doi:10.1021/acs.organomet.2c00529
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.6818751
title: Dataset: Stochastic data-driven parameterization of unresolved eddy effects in a baroclinic quasi-geostrophic model

description: This dataset is used to reproduce the figures in the manuscript "Stochastic data-driven parameterization of unresolved eddy effects in a baroclinic quasi-geostrophic model" The figures can be created with the following Python scripts: .
DOI: 10.5281/zenodo.6818749
title: Dataset: Stochastic data-driven parameterization of unresolved eddy effects in a baroclinic quasi-geostrophic model

description: This dataset is used to reproduce the figures in the manuscript "Stochastic data-driven parameterization of unresolved eddy effects in a baroclinic quasi-geostrophic model" The figures can be created with the following Python scripts: .
DOI: 10.5281/zenodo.7523508
title: MUSES Fractional Vegetation Coverage (FVC) 8-Day Global 250m SIN Grid in 2013 (001–177)

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 FVC product at 250m spatial resolution and 8-day temporal resolution. The MUSES FVC product is provided on a Sinusoidal grid and spans from 2000 to 2019 (continuously updated). It was generated from the MUSES LAI product at 250m resolution and other ancillary information using the complement to unity of the transmittance of light through the entire canopy in the nadir viewing direction (Xiao <em>et al</em>., 2016). The MUSES FVC values are physically consistent with the corresponding MUSES LAI values. The MUSES FVC product is spatially complete and temporally continuous. This dataset is the MUSES FVC product in 2013 (001–177). <em>Please <strong><em>click</em> here</strong> to download the MUSES FVC product <strong>in 2012 (185–361)</strong></em>, and <em><strong>click here</strong> to download the MUSES FVC product <strong>in 2013 (185–361</strong></em><em><strong>)</strong></em>. <strong>Dataset Characteristics:</strong> Spatial Coverage: Global Temporal Coverage: 2013 (001–177) Spatial Resolution: 250m Temporal Resolution: 8 days Projection: Sinusoidal Data Format: HDF Scale: 0.01 Valid Range: 0 – 100 <strong>Citation </strong>(Please cite this paper whenever these data are used)<strong>:</strong> Xiao Zhiqiang, <em>et a</em>l. (2016). Estimating the Fractional Vegetation Cover from GLASS Leaf Area Index Product. <em>Remote Sensing</em>, 8, 337. If you have any questions, please contact Prof. Zhiqiang Xiao (zhqxiao@bnu.edu.cn).
DOI: 10.5281/zenodo.7523507
title: MUSES Fractional Vegetation Coverage (FVC) 8-Day Global 250m SIN Grid in 2013 (001–177)

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 FVC product at 250m spatial resolution and 8-day temporal resolution. The MUSES FVC product is provided on a Sinusoidal grid and spans from 2000 to 2019 (continuously updated). It was generated from the MUSES LAI product at 250m resolution and other ancillary information using the complement to unity of the transmittance of light through the entire canopy in the nadir viewing direction (Xiao <em>et al</em>., 2016). The MUSES FVC values are physically consistent with the corresponding MUSES LAI values. The MUSES FVC product is spatially complete and temporally continuous. This dataset is the MUSES FVC product in 2013 (001–177). <em>Please <strong><em>click</em> here</strong> to download the MUSES FVC product <strong>in 2012 (185–361)</strong></em>, and <em><strong>click here</strong> to download the MUSES FVC product <strong>in 2013 (185–361</strong></em><em><strong>)</strong></em>. <strong>Dataset Characteristics:</strong> Spatial Coverage: Global Temporal Coverage: 2013 (001–177) Spatial Resolution: 250m Temporal Resolution: 8 days Projection: Sinusoidal Data Format: HDF Scale: 0.01 Valid Range: 0 – 100 <strong>Citation </strong>(Please cite this paper whenever these data are used)<strong>:</strong> Xiao Zhiqiang, <em>et a</em>l. (2016). Estimating the Fractional Vegetation Cover from GLASS Leaf Area Index Product. <em>Remote Sensing</em>, 8, 337. If you have any questions, please contact Prof. Zhiqiang Xiao (zhqxiao@bnu.edu.cn).
DOI: 10.3886/e183925
title: Data and Code for "The Human Cost of Collusion: Health Effects of a Mexican Insulin Cartel"

description: This project contains the data and code for "The Human Cost of Collusion: Health Effects of a Mexican Insulin Cartel." These replication materials are posted in advance of the article's publication in the Journal of the European Economic Association.
DOI: 10.3886/e183925v1
title: Data and Code for "The Human Cost of Collusion: Health Effects of a Mexican Insulin Cartel"

description: This project contains the data and code for "The Human Cost of Collusion: Health Effects of a Mexican Insulin Cartel." These replication materials are posted in advance of the article's publication in the Journal of the European Economic Association.
DOI: 10.6084/m9.figshare.21865383
title: Fine scale assessment of seasonal, intra-seasonal and spatial dynamics of soil CO2 effluxes over a balsam fir-dominated perhumid boreal landscape

description: Total soil CO2 efflux (FCO2) is the second most important carbon flux after photosynthesis in boreal forests. However, accurate modelling of FCO2 remains challenging because of its high variability, both temporally and spatially. Using a <em>Abies balsamea</em>-dominated boreal landscape in Quebec (eastern Canada) as a case study, we modelled seasonal, intra-seasonal and spatial variability of FCO2 using climate variables and topographic and canopy structure attributes derived from Light Detection and Ranging (LiDAR) and assessed their respective contributions to soil CO2 emissions. Weekly point measurements of FCO2 at 99 sites were taken over an area of 122 ha between June and October 2020. The seasonal component of FCO2 was quantified and subtracted from FCO2 measurements to isolate the spatial and intra-seasonal components of the flux. The two components were then modelled using a <em>Random forest regression</em> model and studied using accumulated local effect plots (ALE plots). Our approach allowed to explain 79% of the variation in FCO2: the seasonal pattern explained 35% of the variation in FCO2 measurements, while spatial and intra-seasonal patterns together explained 44%. The most important factors explaining spatial variation were vegetation height and the topographical convergence index[AH1] . Average air temperature of the last two days before efflux measurements was the most important factor explaining intra-seasonal variation. The proposed methodology makes it possible to predict FCO2from external factors derived from climate and remote sensing data and enables the decomposition of FCO2 into its seasonal, intra-seasonal and spatial components. Our results demonstrate the importance of spatial and intra-seasonal variations in FCO2 compared to seasonal variation, a finding that has implications for the measurement and modelling of FCO2 at landscape and global scales.
DOI: 10.6084/m9.figshare.21865383.v1
title: Fine scale assessment of seasonal, intra-seasonal and spatial dynamics of soil CO2 effluxes over a balsam fir-dominated perhumid boreal landscape

description: Total soil CO2 efflux (FCO2) is the second most important carbon flux after photosynthesis in boreal forests. However, accurate modelling of FCO2 remains challenging because of its high variability, both temporally and spatially. Using a <em>Abies balsamea</em>-dominated boreal landscape in Quebec (eastern Canada) as a case study, we modelled seasonal, intra-seasonal and spatial variability of FCO2 using climate variables and topographic and canopy structure attributes derived from Light Detection and Ranging (LiDAR) and assessed their respective contributions to soil CO2 emissions. Weekly point measurements of FCO2 at 99 sites were taken over an area of 122 ha between June and October 2020. The seasonal component of FCO2 was quantified and subtracted from FCO2 measurements to isolate the spatial and intra-seasonal components of the flux. The two components were then modelled using a <em>Random forest regression</em> model and studied using accumulated local effect plots (ALE plots). Our approach allowed to explain 79% of the variation in FCO2: the seasonal pattern explained 35% of the variation in FCO2 measurements, while spatial and intra-seasonal patterns together explained 44%. The most important factors explaining spatial variation were vegetation height and the topographical convergence index[AH1] . Average air temperature of the last two days before efflux measurements was the most important factor explaining intra-seasonal variation. The proposed methodology makes it possible to predict FCO2from external factors derived from climate and remote sensing data and enables the decomposition of FCO2 into its seasonal, intra-seasonal and spatial components. Our results demonstrate the importance of spatial and intra-seasonal variations in FCO2 compared to seasonal variation, a finding that has implications for the measurement and modelling of FCO2 at landscape and global scales.
DOI: 10.5281/zenodo.7490438
title: Androgen and prolactin manipulation do not induce changes in gene expression in the telencephalon in parental male bluegill (Lepomis macrochirus) during parental care

description: Transcriptome of the prosencephalon of 11-KT, prolactin and placebo implanted fish.
DOI: 10.5281/zenodo.7490437
title: Androgen and prolactin manipulation do not induce changes in gene expression in the telencephalon in parental male bluegill (Lepomis macrochirus) during parental care

description: Transcriptome of the prosencephalon of 11-KT, prolactin and placebo implanted fish.
DOI: 10.6084/m9.figshare.21874950
title: BD - Educational Environment and SM Disorders (coding).xlsx

description: BD - Educational Environment and SM Disorders (coding)
DOI: 10.6084/m9.figshare.21874965.v1
title: DO_AE-SM.do

description: Archieve DO to STATA
DOI: 10.6084/m9.figshare.21874965
title: DO_AE-SM.do

description: Archieve DO to STATA
DOI: 10.6084/m9.figshare.21789098
title: the complete mitochondrial genome of Ventilago leiocarpa

description: The complete mitochondrial genome of Ventilago leiocarpa
DOI: 10.6084/m9.figshare.21789098.v1
title: the complete mitochondrial genome of Ventilago leiocarpa

description: The complete mitochondrial genome of Ventilago leiocarpa
DOI: 10.5517/ccdc.csd.cc2d2vv6
title: CCDC 2207288: Experimental Crystal Structure Determination

description: Related Article: Zhenyi .Yu|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.cc2d2wcr
title: CCDC 2207304: Experimental Crystal Structure Determination

description: Related Article: Víctor García Lopez|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.cc2dbs1l
title: CCDC 2214889: Experimental Crystal Structure Determination

description: Related Article: Yi Heng, Tongyu Li, Dongwei Wang, Guohua Hou, Guofu Zi, Marc D. Walter|2022|Organometallics|42|91|doi:10.1021/acs.organomet.2c00529
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.cc2dbs5q
title: CCDC 2214893: Experimental Crystal Structure Determination

description: Related Article: Yi Heng, Tongyu Li, Dongwei Wang, Guohua Hou, Guofu Zi, Marc D. Walter|2022|Organometallics|42|91|doi:10.1021/acs.organomet.2c00529
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.cc2dbrxf
title: CCDC 2214885: Experimental Crystal Structure Determination

description: Related Article: Yi Heng, Tongyu Li, Dongwei Wang, Guohua Hou, Guofu Zi, Marc D. Walter|2022|Organometallics|42|91|doi:10.1021/acs.organomet.2c00529
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.