cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5517/ccdc.csd.cc2c3r9k
title: CCDC 2178348: Experimental Crystal Structure Determination

description: Related Article: Damian Paliwoda, Laure Vendier, William Nicolazzi, Gábor Molnár, Azzedine Bousseksou|2022|Inorg.Chem.|61|15991|doi:10.1021/acs.inorgchem.2c02286
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.cc2c3rbl
title: CCDC 2178349: Experimental Crystal Structure Determination

description: Related Article: Damian Paliwoda, Laure Vendier, William Nicolazzi, Gábor Molnár, Azzedine Bousseksou|2022|Inorg.Chem.|61|15991|doi:10.1021/acs.inorgchem.2c02286
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.cc2c3rcm
title: CCDC 2178350: Experimental Crystal Structure Determination

description: Related Article: Damian Paliwoda, Laure Vendier, William Nicolazzi, Gábor Molnár, Azzedine Bousseksou|2022|Inorg.Chem.|61|15991|doi:10.1021/acs.inorgchem.2c02286
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.cc2c3rdn
title: CCDC 2178351: Experimental Crystal Structure Determination

description: Related Article: Damian Paliwoda, Laure Vendier, William Nicolazzi, Gábor Molnár, Azzedine Bousseksou|2022|Inorg.Chem.|61|15991|doi:10.1021/acs.inorgchem.2c02286
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.cc2c3rfp
title: CCDC 2178352: Experimental Crystal Structure Determination

description: Related Article: Damian Paliwoda, Laure Vendier, William Nicolazzi, Gábor Molnár, Azzedine Bousseksou|2022|Inorg.Chem.|61|15991|doi:10.1021/acs.inorgchem.2c02286
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.cc2c3rgq
title: CCDC 2178353: Experimental Crystal Structure Determination

description: Related Article: Damian Paliwoda, Laure Vendier, William Nicolazzi, Gábor Molnár, Azzedine Bousseksou|2022|Inorg.Chem.|61|15991|doi:10.1021/acs.inorgchem.2c02286
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.cc2c3tcp
title: CCDC 2178412: Experimental Crystal Structure Determination

description: Related Article: Daniel Yescas-Galicia, Rodrigo A. Restrepo-Osorio, Ailyn N. García-González, Roberto I. Hernández-Benítez, José C. Espinoza-Hicks, Carlos H. Escalante, Edson Barrera, Blanca M. Santoyo, Francisco Delgado, Joaquín Tamariz|2022|J.Org.Chem.|87|13034|doi:10.1021/acs.joc.2c01563
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.cc2c7fvx
title: CCDC 2181899: Experimental Crystal Structure Determination

description: Related Article: James C. Vanjak, Branford O. Wilkins, Veacheslav Vieru, Nattamai S. Bhuvanesh, Joseph H. Reibenspies, Caleb D. Martin, Liviu F. Chibotaru, Michael Nippe|2022|J.Am.Chem.Soc.|144|17743|doi:10.1021/jacs.2c06698
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.cc2c7fwy
title: CCDC 2181900: Experimental Crystal Structure Determination

description: Related Article: James C. Vanjak, Branford O. Wilkins, Veacheslav Vieru, Nattamai S. Bhuvanesh, Joseph H. Reibenspies, Caleb D. Martin, Liviu F. Chibotaru, Michael Nippe|2022|J.Am.Chem.Soc.|144|17743|doi:10.1021/jacs.2c06698
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.cc2c7fxz
title: CCDC 2181901: Experimental Crystal Structure Determination

description: Related Article: James C. Vanjak, Branford O. Wilkins, Veacheslav Vieru, Nattamai S. Bhuvanesh, Joseph H. Reibenspies, Caleb D. Martin, Liviu F. Chibotaru, Michael Nippe|2022|J.Am.Chem.Soc.|144|17743|doi:10.1021/jacs.2c06698
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: 10.21942/uva.21252300
title: ZIP file: Dataset of Near-Infrared Spectral Data of Illicit-Drugs and Forensic Casework Samples Analyzed by Five Portable Spectrometers Operating in Different Wavelength Ranges

description: ZIP file with Dataset of Near-Infrared Spectral Data of Illicit-Drugs and Forensic Casework Samples Analyzed by Five Portable Spectrometers Operating in Different Wavelength Ranges. <br> Additional details can be found in the related Data in Brief manuscript (https://doi.org/10.1016/j.dib.2022.108660). <br> This data is accompanying the research described in the article: R.F. Kranenburg, Y. Weesepoel, M. Alewijn, S. Sap, P.W.F. Arisz, A. van Esch, P.H.J. Keizers, A.C. van Asten, The Importance of Wavelength Selection in On-Scene Identification of Drugs of Abuse with Portable Near-Infrared Spectroscopy, Forensic Chem. (2022) 100437. https://doi.org/10.1016/j.forc.2022.100437
DOI: 10.21942/uva.21252300.v2
title: ZIP file: Dataset of Near-Infrared Spectral Data of Illicit-Drugs and Forensic Casework Samples Analyzed by Five Portable Spectrometers Operating in Different Wavelength Ranges

description: ZIP file with Dataset of Near-Infrared Spectral Data of Illicit-Drugs and Forensic Casework Samples Analyzed by Five Portable Spectrometers Operating in Different Wavelength Ranges. <br> Additional details can be found in the related Data in Brief manuscript (https://doi.org/10.1016/j.dib.2022.108660). <br> This data is accompanying the research described in the article: R.F. Kranenburg, Y. Weesepoel, M. Alewijn, S. Sap, P.W.F. Arisz, A. van Esch, P.H.J. Keizers, A.C. van Asten, The Importance of Wavelength Selection in On-Scene Identification of Drugs of Abuse with Portable Near-Infrared Spectroscopy, Forensic Chem. (2022) 100437. https://doi.org/10.1016/j.forc.2022.100437
DOI: 10.5258/soton/d2403
title: Data supporting a University of Southampton doctoral thesis "Sex/Gender Differences in Autistic Restricted and Repetitive Behaviours and Interests"

description: Data supporting a University of Southampton doctoral thesis "Sex/Gender Differences in Autistic Restricted and Repetitive Behaviours and Interests". Data was collected vis MS Forms online surveys. Excel required to view raw dataset. Edited Excel dataset also available with incomplete data removed and data coded as per individual outcome measures. Sub-scores for each outcome measure also calculated via formulas for all relevant outcome measures. SPSS dataset provided for data pertaining to Sex, Diagnosis, RBQ-2A Total, RBQ-2A Repetitive Sensory Motor (RSM), RBQ-2A Insistence on Sameness (IS), CATQ Total, CATQ Assimilation, CATQ Masking, CATQ Compensation, ASSERT Autistic Traits, Age, and Diagnosis vs Self-Identifying Autistic data only. This dataset contains: - consent confirmations - ethnicity - gender - biological sex - diagnosis status - age of diagnosis, who gave diagnosis, how many times assessed (if applicable) - self-identification of autism (yes or no) - experience of autism assessment (yes or no), how many times assessed, outcome of assessment, currently on a waiting list for assessment, age of first assessment (if applicable) - responses on ASSERT outcome measure - responses on CAT-Q outcome measure - responses on RBQ-2A outcome measure - open-responses to 'are there any other restricted interest you feel you have that have not already been mentioned?' - open-responses to 'are there any other repetitive behaviours you feel you have that have not already been mentioned?' - responses on ASA-A outcome measure
DOI: 10.17909/c1x2-x453
title: JWST’s PEARLS: A JWST/NIRCam view of ALMA sources
DOI: 10.6084/m9.figshare.19984217.v1
title: Post-mating female control: reproductive fluid concentrations drive cryptic choice in an external fertilizer

description: Supporting data and R scripts for the manuscript "Post-mating female control: reproductive fluid concentrations drive cryptic choice in an external fertilizer".<strong> </strong>Description of all files and variables can be found in the "README" file.
DOI: 10.6084/m9.figshare.21316827
title: Visean high-K mafic-intermediate plutonic rocks of the Ossa–Morena Zone (SW Iberia): implications for regional extensional tectonics

description: Table S1: Microprobe analyses of mineral phases from Campo Maior and Vale de Maceira amples and Table S2: Whole-rock geochemistry for major and trace elements of samples from Campo Maior and Vale de Maceira (Portugal)
DOI: 10.6084/m9.figshare.21316827.v1
title: Visean high-K mafic-intermediate plutonic rocks of the Ossa–Morena Zone (SW Iberia): implications for regional extensional tectonics

description: Table S1: Microprobe analyses of mineral phases from Campo Maior and Vale de Maceira amples and Table S2: Whole-rock geochemistry for major and trace elements of samples from Campo Maior and Vale de Maceira (Portugal)
DOI: 10.6084/m9.figshare.21316830
title: Visean high-K mafic-intermediate plutonic rocks of the Ossa–Morena Zone (SW Iberia): implications for regional extensional tectonics

description: Table S4: ID–TIMS U–Pb zircon data
DOI: 10.6084/m9.figshare.21316830.v1
title: Visean high-K mafic-intermediate plutonic rocks of the Ossa–Morena Zone (SW Iberia): implications for regional extensional tectonics

description: Table S4: ID–TIMS U–Pb zircon data
DOI: 10.6084/m9.figshare.21316833
title: Visean high-K mafic-intermediate plutonic rocks of the Ossa–Morena Zone (SW Iberia): implications for regional extensional tectonics

description: Table S3: Whole-rock geochemistry for major and trace elements of Visean high-K plutonic rocks from Campo Maior and Vale de Maceiras (Portugal)
DOI: 10.6084/m9.figshare.21316833.v1
title: Visean high-K mafic-intermediate plutonic rocks of the Ossa–Morena Zone (SW Iberia): implications for regional extensional tectonics

description: Table S3: Whole-rock geochemistry for major and trace elements of Visean high-K plutonic rocks from Campo Maior and Vale de Maceiras (Portugal)
DOI: 10.6084/m9.figshare.21316836
title: Visean high-K mafic-intermediate plutonic rocks of the Ossa–Morena Zone (SW Iberia): implications for regional extensional tectonics

description: Table S5: SHRIMP U–Pb zircon geochronology of the Campo Maior quartz-diorite.
DOI: 10.6084/m9.figshare.21316836.v1
title: Visean high-K mafic-intermediate plutonic rocks of the Ossa–Morena Zone (SW Iberia): implications for regional extensional tectonics

description: Table S5: SHRIMP U–Pb zircon geochronology of the Campo Maior quartz-diorite.
DOI: 10.6084/m9.figshare.19984217.v2
title: Post-mating female control: reproductive fluid concentrations drive cryptic choice in an external fertilizer

description: Supporting data and R scripts for the manuscript "Post-mating female control: reproductive fluid concentrations drive cryptic choice in an external fertilizer".<strong> </strong>Description of all files and variables can be found in the "README" file.
DOI: 10.5281/zenodo.3661032
title: diFUME Land Cover V0.2

description: Description: Land Cover map (V0.2) of Basel for diFUME project at three different levels of information. Level 1 information originates from the Official survey of Basel-Stadt (http://www.gva.bs.ch). Level 2 aggregates the information of Level 1 into 8 broad categories. Level 3 includes the information of tree canopies and crown, derived by airborne Lidar data (2018 campaign) made available by the civil engineering office of Basel-Stadt (https://www.tiefbauamt.bs.ch/) and classifies buildings to Commercial/Industrial according to building type information (http://www.geo.bs.ch). Additionally, road type classification is available according to a city map and the vehicle traffic zones (http://www.mobilitaet.bs.ch). Data specifications: CRS: EPSG:32632 - WGS 84 / UTM zone 32N - Projected Spatial Extent: 392120.0,5266860.0 : 395160.0,5269840.0 Temporal Extent: 2019 Units: meters Width: 3040 Height: 2980 Bands: 1 Pixel Size: 1,-1 Data type: Float32 - Thirty two bit floating point GDAL Driver Description: GTiff GDAL Driver Metadata: GeoTIFF Legend: Level 1: 0 Buildings 1 Tanks 2 Road 3 Pavement 4 Paved surfaces 5 Train lines 6 Tram lines 8 Water 9 Port area 10 Industrial area 11 Paved surfaces 12 Sport facilities 13 Paved surfaces 14 Meadow 17 Gardens 18 Parks 19 Graveyard 20 Community gardens 21 Zoo 22 Sport facilities 24 Free lands 25 Agricultural lands 27 Water 29 Forest 32 Pervious surfaces Level 2: 0 Buildings 2 Roads 3 Pavements 4 Paved surfaces 5 Train lines 8 Water 29 Forest 33 Soil/vegetation Level 3: 0 Buildings 2 Roads 3 Pavements 4 Paved surfaces 5 Train lines 8 Water 10 Trees 33 Soil/low vegetation 35 Commercial/Industrial 50 % 36 Commercial/Industrial 100 % Road Classification: 1 Settlement oriented roads 2 Main roads 3 Main collecting roads 4 Other roads/paths 5 Meeting areas (20 km/h) 6 Tempo 30 (30 km/h) 0 Nodata
DOI: 10.5281/zenodo.3661033
title: diFUME Land Cover V0.1

description: Description: Land Cover map (V0.1) of Basel for diFUME project at three different levels of information. Level 1 information originates from the Official survey of Basel-Stadt (http://www.gva.bs.ch). Level 2 aggregates the information of Level 1 into 8 broad categories. Level 3 includes the information of tree canopies and crown, derived by airborne Lidar data (2012 campaign) made available by the civil engineering office of Basel-Stadt (https://www.tiefbauamt.bs.ch/). Data specifications: CRS: EPSG:32632 - WGS 84 / UTM zone 32N - Projected Spatial Extent: 392120.0,5266860.0 : 395160.0,5269840.0 Temporal Extent: 2019 Units: meters Width: 3040 Height: 2980 Bands: 1 Pixel Size: 1,-1 Data type: Float32 - Thirty two bit floating point GDAL Driver Description: GTiff GDAL Driver Metadata: GeoTIFF Legend: Level 1: 0 Buildings 1 Tanks 2 Road 3 Pavement 4 Paved surfaces 5 Train lines 6 Tram lines 8 Water 9 Port area 10 Industrial area 11 Paved surfaces 12 Sport facilities 13 Paved surfaces 14 Meadow 17 Gardens 18 Parks 19 Graveyard 20 Community gardens 21 Zoo 22 Sport facilities 24 Free lands 25 Agricultural lands 27 Water 29 Forest 32 Pervious surfaces Level 2: 0 Buildings 2 Roads 3 Pavements 4 Paved surfaces 5 Train lines 8 Water 29 Forest 33 Soil/vegetation Level 3: 0 Buildings 2 Roads 3 Pavements 4 Paved surfaces 5 Train lines 8 Water 10 Trees 33 Soil/low vegetation
DOI: 10.5281/zenodo.6511967
title: diFUME Land Cover V0.2

description: Description: Land Cover map (V0.2) of Basel for diFUME project at three different levels of information. Level 1 information originates from the Official survey of Basel-Stadt (http://www.gva.bs.ch). Level 2 aggregates the information of Level 1 into 8 broad categories. Level 3 includes the information of tree canopies and crown, derived by airborne Lidar data (2018 campaign) made available by the civil engineering office of Basel-Stadt (https://www.tiefbauamt.bs.ch/) and classifies buildings to Commercial/Industrial according to building type information (http://www.geo.bs.ch). Additionally, road type classification is available according to a city map and the vehicle traffic zones (http://www.mobilitaet.bs.ch). Data specifications: CRS: EPSG:32632 - WGS 84 / UTM zone 32N - Projected Spatial Extent: 392120.0,5266860.0 : 395160.0,5269840.0 Temporal Extent: 2019 Units: meters Width: 3040 Height: 2980 Bands: 1 Pixel Size: 1,-1 Data type: Float32 - Thirty two bit floating point GDAL Driver Description: GTiff GDAL Driver Metadata: GeoTIFF Legend: Level 1: 0 Buildings 1 Tanks 2 Road 3 Pavement 4 Paved surfaces 5 Train lines 6 Tram lines 8 Water 9 Port area 10 Industrial area 11 Paved surfaces 12 Sport facilities 13 Paved surfaces 14 Meadow 17 Gardens 18 Parks 19 Graveyard 20 Community gardens 21 Zoo 22 Sport facilities 24 Free lands 25 Agricultural lands 27 Water 29 Forest 32 Pervious surfaces Level 2: 0 Buildings 2 Roads 3 Pavements 4 Paved surfaces 5 Train lines 8 Water 29 Forest 33 Soil/vegetation Level 3: 0 Buildings 2 Roads 3 Pavements 4 Paved surfaces 5 Train lines 8 Water 10 Trees 33 Soil/low vegetation 35 Commercial/Industrial 50 % 36 Commercial/Industrial 100 % Road Classification: 1 Settlement oriented roads 2 Main roads 3 Main collecting roads 4 Other roads/paths 5 Meeting areas (20 km/h) 6 Tempo 30 (30 km/h) 0 Nodata
DOI: 10.6069/m997-a291
title: The Arabidopsis E3 ubiquitin ligase PUB4 regulates BIK1 and is targeted by a bacterial type-III effector

description: Plant immunity is tightly controlled by a complex and dynamic regulatory network, which ensures optimal activation upon detection of potential pathogens. Accordingly, each component of this network is a potential target for manipulation by pathogens. Here, we report that RipAC, a type III-secreted effector from the bacterial pathogen Ralstonia solanacearum, targets the plant E3 ubiquitin ligase PUB4 to inhibit pattern-triggered immunity (PTI). PUB4 plays a positive role in PTI by regulating the homeostasis of the central immune kinase BIK1. Before PAMP perception, PUB4 promotes the degradation of non-activated BIK1, while, after PAMP perception, PUB4 contributes to the accumulation of activated BIK1. RipAC leads to BIK1 degradation, which correlates with its PTI-inhibitory activity. RipAC causes a reduction in pathogen-associated molecular pattern (PAMP)-induced PUB4 accumulation and phosphorylation. Our results shed light on the role played by PUB4 in immune regulation, and illustrate an indirect targeting of the immune signalling hub BIK1 by a bacterial effector.
DOI: 10.6084/m9.figshare.12834332
title: Data from: Urinary creatinine varies with microenvironment and sex in hibernating Greater Horseshoe bats (<i>Rhinolophus ferrumequinum</i>) in Korea

description: Sheet 1. Urinary creatinine concentration of hibernating greater horseshoe bats.<br>Sheet 2. Ambient temperature and relative humidity of two mineshafts (A1, H1) in Anseong and Hampyeong.<br>Sheet 3. Outside daily temperature at the nearest weather stations to A1 and H1 in Cheonan (CA) and Yeonggwang (YG).
DOI: 10.6084/m9.figshare.12834332.v1
title: Data from: Urinary creatinine varies with microenvironment and sex in hibernating Greater Horseshoe bats (<i>Rhinolophus ferrumequinum</i>) in Korea

description: Sheet 1. Urinary creatinine concentration of hibernating greater horseshoe bats.<br>Sheet 2. Ambient temperature and relative humidity of two mineshafts (A1, H1) in Anseong and Hampyeong.<br>Sheet 3. Outside daily temperature at the nearest weather stations to A1 and H1 in Cheonan (CA) and Yeonggwang (YG).
DOI: 10.6084/m9.figshare.21316944
title: Pharmaceutical industry payments to NHS trusts in England: A four-year analysis of the Disclosure UK database

description: <strong>Introduction</strong>: Although hospitals are key health service providers, their financial ties to drug companies have been rarely scrutinised. In developing this body of work, we examine industry payments for non-research activities to National Health Service (NHS) trusts – hospital groupings providing publicly funded secondary and tertiary care in England. <strong>Methods</strong>: We extracted data from the industry-run Disclosure UK database, analysing payment distribution descriptively and identifying trends in medians with the Jonckheere-Terpstra test. The payment value and number per NHS trust were explained using random effects models. <strong>Results</strong>: Between 2015 and 2018, 116 companies reported paying £60,253,421.86 to 235 trusts. As a share of payments to all healthcare organisations the number of payments to trusts rose from 38.64% to 39.48%, but their value dropped from 33.01% to 23.61%. While the number of all payment types rose, fees for service and consultancy and contributions to costs of events increased by 61.55% and 29.43%, respectively. The median payment values decreased significantly for trusts overall, including those with lower autonomy from central government; providing acute services; and from four of the eight regions of England. The random effects model showed that trusts with all other service profiles received a significantly lower value of payments on average than acute trusts; and trusts from East England received significantly less than those from London. However, trusts enjoying greater autonomy from government did not receive significantly more payments than others. Trusts also received significantly lower (but not fewer) payments in 2018 than in 2015. <strong>Conclusion</strong>: NHS trusts were losing importance as funding targets relative to other healthcare organisations. Industry payment strategies shifted towards engaging with NHS trusts using events sponsorship, consultancies, and smaller payments. Industry prioritised payments to trusts with specific service and geographical profiles. More granular disclosure is necessary to understand the role of corporate funding across the health system.