cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5517/ccdc.csd.cc277kdg
title: CCDC 2062845: Experimental Crystal Structure Determination

description: Related Article: Samuel E. Griffin, Olivia V. Adamczyk, Laurel L. Schafer|2022|Dalton Trans.|51|14654|doi:10.1039/D2DT02177C
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.cc277kfh
title: CCDC 2062846: Experimental Crystal Structure Determination

description: Related Article: Samuel E. Griffin, Olivia V. Adamczyk, Laurel L. Schafer|2022|Dalton Trans.|51|14654|doi:10.1039/D2DT02177C
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.cc294mkn
title: CCDC 2119611: Experimental Crystal Structure Determination

description: Related Article: Samuel E. Griffin, Olivia V. Adamczyk, Laurel L. Schafer|2022|Dalton Trans.|51|14654|doi:10.1039/D2DT02177C
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.cc2dcwnb
title: CCDC 2215962: Experimental Crystal Structure Determination

description: Related Article: Jin Qian, Robert J. Comito|2023|Organometallics|42|1254|doi:10.1021/acs.organomet.2c00568
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: 10.25345/c5sf2mn8q
title: MassIVE MSV000092663 - The protein tyrosine phosphatase PPH-7 is required for fertility and embryonic development in C. elegans at elevated temperatures
title: Post-translational modifications are key in the regulation of activity, structure, localization and stability of most proteins in eukaryotes. Phosphorylation is potentially the most studied post-translational modification, also due to its reversibility and thereby the regulatory role this modification often plays. While most research attention was focused on kinases in the past, phosphatases remain understudied, most probably because the addition and presence of the modification is more easily studied than its removal and absence. Here, we report the identification of an uncharacterized protein tyrosine phosphatase PPH-7 in C. elegans, a member of the evolutionary conserved PTPN family of phosphatases. Lack of PPH-7 function led to reduction of fertility and embryonic lethality at elevated temperatures. Proteomics revealed changes in the regulation of targets of the von Hippel Lindau (VHL) E3 ligase, suggesting a potential role for PPH-7 in the regulation of VHL.
DOI: 10.5281/zenodo.8246524
title: TEAMx-PC22 (TEAMx pre-campaing 2022) – GeoSphere Austria ceilometer data

description: <strong>ABSTRACT</strong> GeoSpere Austria is running operationally a ceilometer (Vaisala CL51) next to the meteorological station at Kufstein, Austria. Ceilometer data collected during the TEAMx pre-campaign 2022 (TEAMx-PC22) are provided here. Standard meteorological data is available on the GeoSphere Austria data hub. The aim of TEAMx-PC22 was to test new instruments, new instrument configurations and new measurement sites to support the planning of the main TEAMx observational campaign (TOC) in 2024/2025. More details about TEAMx can be found at http://www.teamx-programme.org as well as in Serafin et al. (2020) and in Rotach et al. (2022). <strong>DATA SET DESCRIPTION</strong> The ceilometer (Vaisala CL51) is operated at Kufstein next to the meteorological station (12.1628°E 47.5753°N 490m asl). Provided are monthly NetCDF data sets, without data corrections. <strong>Description of variables</strong> time_resol "Mean time resolution of profiles" units = "s" Mtime_resol "Mean time resolution of ALH/MLH" units = "s" range_resol "Range resolution" units = "m" zenith_angle "Zenith (Tilt) angle of device" units = "degrees" times "Decimal hours since start of data [UTC] (ALH/MLH)" units = "hours since yyy-mm-dd HH:MM:SS" Mtimes "Decimal hours since start of data [UTC] (ALH/MLH)" units = "hours since yyy-mm-dd HH:MM:SS" range "Range from Telescope to each range gate" units = "m" real_range "Projected range from Telescope to each range gate (w.r.t zenith angle)" units = "m" displacement "Displacement of each range gate (w.r.t zenith angle and altitude)" units = "m" bsp "Attenuated Back Scatter Profile Signal" units = "Mm**-1 sr**-1" cbh "List of Cloud-Base-Heights [agl] (lowest to highest)" units = "m" Contact: kathrin.baumann-stanzer@geosphere.at
DOI: 10.5281/zenodo.8246523
title: TEAMx-PC22 (TEAMx pre-campaing 2022) – GeoSphere Austria ceilometer data

description: <strong>ABSTRACT</strong> GeoSpere Austria is running operationally a ceilometer (Vaisala CL51) next to the meteorological station at Kufstein, Austria. Ceilometer data collected during the TEAMx pre-campaign 2022 (TEAMx-PC22) are provided here. Standard meteorological data is available on the GeoSphere Austria data hub. The aim of TEAMx-PC22 was to test new instruments, new instrument configurations and new measurement sites to support the planning of the main TEAMx observational campaign (TOC) in 2024/2025. More details about TEAMx can be found at http://www.teamx-programme.org as well as in Serafin et al. (2020) and in Rotach et al. (2022). <strong>DATA SET DESCRIPTION</strong> The ceilometer (Vaisala CL51) is operated at Kufstein next to the meteorological station (12.1628°E 47.5753°N 490m asl). Provided are monthly NetCDF data sets, without data corrections. <strong>Description of variables</strong> time_resol "Mean time resolution of profiles" units = "s" Mtime_resol "Mean time resolution of ALH/MLH" units = "s" range_resol "Range resolution" units = "m" zenith_angle "Zenith (Tilt) angle of device" units = "degrees" times "Decimal hours since start of data [UTC] (ALH/MLH)" units = "hours since yyy-mm-dd HH:MM:SS" Mtimes "Decimal hours since start of data [UTC] (ALH/MLH)" units = "hours since yyy-mm-dd HH:MM:SS" range "Range from Telescope to each range gate" units = "m" real_range "Projected range from Telescope to each range gate (w.r.t zenith angle)" units = "m" displacement "Displacement of each range gate (w.r.t zenith angle and altitude)" units = "m" bsp "Attenuated Back Scatter Profile Signal" units = "Mm**-1 sr**-1" cbh "List of Cloud-Base-Heights [agl] (lowest to highest)" units = "m" Contact: kathrin.baumann-stanzer@geosphere.at
DOI: 10.5281/zenodo.8251636
title: TEAMx-PC22 (TEAMx pre-campaing 2022) – GeoSphere Austria Doppler wind lidar data

description: <strong>ABSTRACT</strong> GeoSpere Austria operated a Doppler lidar (METEK Wind Ranger 200) during the TEAMx pre-campaign 2022 (TEAMx-PC22) from August 17, 2022 to October 3, 2022 next to the meteorological station at Kufstein, Austria. The wind lidar data from this campaign is provided here. Standard meteorological data is available on the GeoSphere Austria data hub. The aim of TEAMx-PC22 was to test new instruments, new instrument configurations and new measurement sites to support the planning of the main TEAMx observational campaign (TOC) in 2024/2025. More details about TEAMx can be found at http://www.teamx-programme.org as well as in Serafin et al. (2020) and in Rotach et al. (2022). <strong>DATA SET DESCRIPTION</strong> The windlidar is operated at Kufstein next to the meteorological station (12.1628°E 47.5753°N 490m asl). 1 VAD scan is measured per second, 100 radial measurements per VAD scan. Provided are daily NetCDF data sets, so-called “averaged files”, i.e. 10min averaged profiles calculated from the instantaneous profiles provided by the operational software of the instrument. <strong>Description of variables:</strong> lat Latitude lon Longitude alt Altitude height Measuring height pitch Tilt towards north arrow roll Tilt clockwise looking along north arrow heading Azimuth alignment (should be zero) time Time stamp (seconds since 01.01.1970 00:00 UTC). VEL Wind Velocity (vectorial average) VEL_SC Wind Velocity (scalar average) DIR Direction (vectorial average) U West-East wind component V South-North wind component W Upward wind component SU Standard deviation of U SV Standard deviation of V SW Standard deviation of W SVEL Mean square deviation of radial wind components from fitted values DQ Fraction of valid radial components per VAD MDT Mean distance to target (Measured distance of focus) SNR Signal to noise ratio in dB SPW Spectral width (for internal use only) Contact: kathrin.baumann-stanzer@geosphere.at
DOI: 10.5281/zenodo.8251635
title: TEAMx-PC22 (TEAMx pre-campaing 2022) – GeoSphere Austria Doppler wind lidar data

description: <strong>ABSTRACT</strong> GeoSpere Austria operated a Doppler lidar (METEK Wind Ranger 200) during the TEAMx pre-campaign 2022 (TEAMx-PC22) from August 17, 2022 to October 3, 2022 next to the meteorological station at Kufstein, Austria. The wind lidar data from this campaign is provided here. Standard meteorological data is available on the GeoSphere Austria data hub. The aim of TEAMx-PC22 was to test new instruments, new instrument configurations and new measurement sites to support the planning of the main TEAMx observational campaign (TOC) in 2024/2025. More details about TEAMx can be found at http://www.teamx-programme.org as well as in Serafin et al. (2020) and in Rotach et al. (2022). <strong>DATA SET DESCRIPTION</strong> The windlidar is operated at Kufstein next to the meteorological station (12.1628°E 47.5753°N 490m asl). 1 VAD scan is measured per second, 100 radial measurements per VAD scan. Provided are daily NetCDF data sets, so-called “averaged files”, i.e. 10min averaged profiles calculated from the instantaneous profiles provided by the operational software of the instrument. <strong>Description of variables:</strong> lat Latitude lon Longitude alt Altitude height Measuring height pitch Tilt towards north arrow roll Tilt clockwise looking along north arrow heading Azimuth alignment (should be zero) time Time stamp (seconds since 01.01.1970 00:00 UTC). VEL Wind Velocity (vectorial average) VEL_SC Wind Velocity (scalar average) DIR Direction (vectorial average) U West-East wind component V South-North wind component W Upward wind component SU Standard deviation of U SV Standard deviation of V SW Standard deviation of W SVEL Mean square deviation of radial wind components from fitted values DQ Fraction of valid radial components per VAD MDT Mean distance to target (Measured distance of focus) SNR Signal to noise ratio in dB SPW Spectral width (for internal use only) Contact: kathrin.baumann-stanzer@geosphere.at
DOI: 10.6084/m9.figshare.23963931
title: Adolescent Girls and Young Women Dataset

description: Data on HIV AIDS education for adolescent girls and young women
DOI: 10.6084/m9.figshare.23963931.v2
title: Adolescent Girls and Young Women Dataset

description: Data on HIV AIDS education for adolescent girls and young women
DOI: 10.6084/m9.figshare.23963931.v1
title: Untitled Item

description: Data on HIV AIDS education for adolescent girls and young women
DOI: 10.24378/exe.1484
title: The North Atlantic as a driver of summer atmospheric circulation (dataset)

description: This is the dataset used for the Osborne et al. (2020) article "The North Atlantic as a driver of summer atmospheric circulation" published in the Journal of Climate.
description: This dataset contains variables defined globally (either just at the surface, or on pressure levels), for the summer mean only.
description: The article associated with this dataset is available in ORE at: http://hdl.handle.net/10871/125863
DOI: 10.34740/kaggle/dsv/6311563
title: AutoXGB
DOI: 10.5281/zenodo.8177033
title: events_&_DAS_geometry

description: This repository stores .npy and .txt files for event recordings and DAS array geometries, respectively. txt files &gt;&gt; channel-id, progressive number, longitude channel (UTM), latitude channel (UTM), depth. .npy files &gt;&gt; events (num channels and time samples, see metadata). Plus additional information about the specific DAS acquisition is stored in metadata.txt
DOI: 10.5281/zenodo.8177032
title: events_&_DAS_geometry

description: This repository stores .npy and .txt files for event recordings and DAS array geometries, respectively. txt files &gt;&gt; channel-id, progressive number, longitude channel (UTM), latitude channel (UTM), depth. .npy files &gt;&gt; events (num channels and time samples, see metadata). Plus additional information about the specific DAS acquisition is stored in metadata.txt
DOI: 10.6084/m9.figshare.23964741
title: Données brutes.xlsx

description: Données complètes par m2 : densités et production de pollen et de nectar par m2 par les différentes espèces rencontrées par biotope, par site et par session.Sans singleton par m2 : données similaires à la première feuille mais sans les singletons.Données brutes : densités par m2, production de pollen et de nectar calculées en prenant compte la taille du biotope observé (au sein du transect et au sein du site complet) par espèces, par biotope, par site et par session.Pollinisateurs : conditions météorologiques, espèces d'abeilles sauvages observées et plantes visitées par celles-ci par biotope, par site et par session.
DOI: 10.6084/m9.figshare.23964741.v1
title: Données brutes.xlsx

description: Données complètes par m2 : densités et production de pollen et de nectar par m2 par les différentes espèces rencontrées par biotope, par site et par session.Sans singleton par m2 : données similaires à la première feuille mais sans les singletons.Données brutes : densités par m2, production de pollen et de nectar calculées en prenant compte la taille du biotope observé (au sein du transect et au sein du site complet) par espèces, par biotope, par site et par session.Pollinisateurs : conditions météorologiques, espèces d'abeilles sauvages observées et plantes visitées par celles-ci par biotope, par site et par session.
DOI: 10.6084/m9.figshare.22262428.v1
title: Field data of Phlebotomine sand fly trapping in Switzerland, 2009-2016

description: Set of Phlebotomine sand flies (Diptera: Psychodidae, Phlebotominae) field trapping data collected by light traps and sticky papers at thirty-five sites disttributed over10 cantons of Switzerland, in 2009, 2010, 2011/2012 and 2016. Sand flies were collected mainly in cantons Ticino and Grisons, south to the Alps, with a few specimen collected in canton Vaud, north to the Alps. A total of 603 samplings collected from 38 sites are listed, of which 136 (at 15 sites) are positive for sand flies, with four species observed: <em>Phlebotomus mascittii</em>, <em>Ph. neglectus</em>, <em>Ph. perniciosus </em>and<em> Sergentomyia minuta</em>. Sample were identified by morphology, PCR and sequencing, or MALDI-TOF mass spectrometry.
DOI: 10.6084/m9.figshare.22262428
title: Field data of Phlebotomine sand fly trapping in Switzerland, 2009-2016

description: Set of Phlebotomine sand flies (Diptera: Psychodidae, Phlebotominae) field trapping data collected by light traps and sticky papers at thirty-five sites disttributed over10 cantons of Switzerland, in 2009, 2010, 2011/2012 and 2016. Sand flies were collected mainly in cantons Ticino and Grisons, south to the Alps, with a few specimen collected in canton Vaud, north to the Alps. A total of 603 samplings collected from 38 sites are listed, of which 136 (at 15 sites) are positive for sand flies, with four species observed: <em>Phlebotomus mascittii</em>, <em>Ph. neglectus</em>, <em>Ph. perniciosus </em>and<em> Sergentomyia minuta</em>. Sample were identified by morphology, PCR and sequencing, or MALDI-TOF mass spectrometry.
DOI: 10.6084/m9.figshare.23540019
title: <strong>Estrogen’s effect on IgG glycosylation and total serum protein glycosylation in a healthy postmenopausal murine model</strong>

description: Raw data and supplementary data from the manuscript " <b>Impact of Estrogen on IgG Glycosylation and Serum Protein Glycosylation in a Murine Model of Healthy Postmenopause</b><b>"</b>
DOI: 10.6084/m9.figshare.23540019.v2
title: <strong>Estrogen’s effect on IgG glycosylation and total serum protein glycosylation in a healthy postmenopausal murine model</strong>

description: Raw data and supplementary data from the manuscript " <b>Impact of Estrogen on IgG Glycosylation and Serum Protein Glycosylation in a Murine Model of Healthy Postmenopause</b><b>"</b>
DOI: 10.21227/7gcc-ar46
title: MOPO-HBT

description: Real-world images often encompass embedded texts that adhere to disparate disciplines like business, education, and amusement, to name a few. Such images are graphically rich in terms of font attributes, color distribution, foreground-background similarity, and component organization. This aggravates the difficulty of recognizing texts from these images. Such characteristics are very prominent in the case of movie posters. One of the first pieces of information on movie posters is the title. Automatic recognition of movie titles from images can aid in efficient indexing as well as information conveyance. However, it is accompanied by other texts like the names of actors, producers, taglines, dates, etc. Though the organization of components is somewhat similar across different film industries like Tollywood (West Bengal), Bollywood (Mumbai), and Hollywood (Los Angeles), the graffiti patterns differ in multifarious instances. To address the problem of movie title understanding, we propose a dataset named MOvie POsters-Hollywood Bollywood Tollywood (MOPO-HBT) that encompasses movie posters from the aforementioned industries. The entire dataset is publicly available (link ) for research purposes. The baseline results of text identification and recognition were obtained with a CNN-based (Convolutional neural network) approach, wherein the titles were extracted using the M-EAST (Modified-Efficient and Accurate Scene Text detector) model.
DOI: 10.5258/soton/d2089
title: Dataset in support of the thesis 'Impact of corporate governance on financial and non-financial performance of hospitals: Evidence from the National Health Service in England'

description: Excel spreadsheet containing data collected in support of the thesis.
DOI: 10.21227/ph4n-m638
title: Seismic communication

description: Seismic data, obtained from sensors placed on the Earth's surface or subsurface, provides valuable insights into the composition and structure of the Earth's subsurface layers. This data is typically collected in the form of digital recordings, which represent the vibrations produced by seismic waves generated by controlled sources or natural events such as earthquakes. Converting seismic data into speech signals allows researchers and professionals to gain aural insights into the subsurface characteristics.Seismic data is collected through networks of sensors called seismometers or geophones. These sensors record ground vibrations caused by seismic waves. The raw data obtained from these sensors is usually in the form of time-series recordings, capturing the amplitude of vibrations over time.Before converting the data to speech signals, preprocessing steps are necessary. This may involve filtering out noise, correcting for sensor response, and normalizing the data to ensure accurate representation.
DOI: 10.5281/zenodo.8250310
title: IRF4_24_48

description: IRF4_24_48
DOI: 10.5281/zenodo.8250412
title: IRF4_24_48

description: IRF4_24_48
DOI: 10.5281/zenodo.8250607
title: IRF4_24_48

description: IRF4_24_48
DOI: 10.5281/zenodo.8250309
title: IRF4_24_48

description: IRF4_24_48
DOI: 10.5281/zenodo.8250653
title: IRF4_24_48

description: IRF4_24_48
DOI: 10.5281/zenodo.8250730
title: IRF4_24_48

description: IRF4_24_48
DOI: 10.5281/zenodo.8251797
title: Soil CO2 Flux Data from the southern Malawi Rift

description: Soil CO<sub>2</sub> data collected in transects across faults in the southern Malawi Rift in August 2018. Measurements of soil CO<sub>2</sub> flux were collected during a survey in August 2018 during the dry season in Malawi, in order to attempt to reduce the possibility of a high biogenic flux obscuring the output of deeper CO<sub>2</sub>. We collected measurements using the accumulation chamber method (Chiodini et al., 1998), where a soil collar is coupled to the ground surface, and the gas flux is sampled and analysed for CO<sub>2</sub> using a PP Systems EGM-4 Environmental Gas Analyser and a SRC-1 Soil Respiration Chamber. A high-resolution digital elevation model (DEM; 12.5 m TanDEM-X), was used to identify active fault scarps in southern Malawi (following Wedmore et al., 2020), which were the focus of our investigation. We collected flux measurements running from the footwall across the active faults and into the hanging wall of the scarps that we identified, with approximately 10-50 m spacing between individual sampling locations. Also published here is an ipython notebook to analyse the data.
DOI: 10.5281/zenodo.8251796
title: Soil CO2 Flux Data from the southern Malawi Rift

description: Soil CO<sub>2</sub> data collected in transects across faults in the southern Malawi Rift in August 2018. Measurements of soil CO<sub>2</sub> flux were collected during a survey in August 2018 during the dry season in Malawi, in order to attempt to reduce the possibility of a high biogenic flux obscuring the output of deeper CO<sub>2</sub>. We collected measurements using the accumulation chamber method (Chiodini et al., 1998), where a soil collar is coupled to the ground surface, and the gas flux is sampled and analysed for CO<sub>2</sub> using a PP Systems EGM-4 Environmental Gas Analyser and a SRC-1 Soil Respiration Chamber. A high-resolution digital elevation model (DEM; 12.5 m TanDEM-X), was used to identify active fault scarps in southern Malawi (following Wedmore et al., 2020), which were the focus of our investigation. We collected flux measurements running from the footwall across the active faults and into the hanging wall of the scarps that we identified, with approximately 10-50 m spacing between individual sampling locations. Also published here is an ipython notebook to analyse the data.
DOI: 10.5258/soton/d2742
title: Dataset to support the thesis "Laser modification of materials at micro- and nanoscale for photonics and information technology"

description: This dataset contains the data used in the generation of Figures 5-1b,c,d, 5-5, 6-1c,d, 6-2c, 7-13a in the thesis.
DOI: 10.5258/soton/d2604
title: Dataset: CSP-generated crystal structures of chlorpropamide

description: Dataset in support of the journal article 'Pushing technique boundaries to probe conformational polymorphism' to be published in Crystal Growth and Design This dataset contains: Crystal structures of the flexible drug molecule chlorpropamide, generated using computational crystal structure prediction methods designed for flexible molecular species. Set contains both the intermediate, less-accurately-ranked structures and the smaller, final population set of structures optimised using density functional theory (DFT).