cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.7351766
title: Geological map of the southern Red Sea & western Gulf of Aden region

description: <strong>Content</strong> This dataset contains a geological map of the southern Red Sea & western Gulf of Aden region (1:3’100’000), including all the associated data. This dataset includes: The map in JPEG, PDF, and GeoTIFF format The shapefiles of the map One document listing all sources used for the compilation of this map (<em>Source_Material_GmsRSwGoAr.pdf</em>) This database is an additional complement to the paper ‘Rime, V., Foubert, A., Ruch, J. & Kidane, T. (2023), Tectonostratigraphic evolution and significance of the Afar Depression, <em>Earth-Science Reviews</em>, 244, 104519, https://doi.org/10.1016/j.earscirev.2023.104519 ’<em>.</em> Note that a larger-scale map of the Afar Depression is available as 'Rime, V., Foubert, A., Atnafu, B. and Kidane, T. (2022) Geological map of the Afar Depression. <em>Zenodo</em>. https://doi.org/10.5281/zenodo.7351643 ' <strong>References</strong> The map was developed by compiling a large number of published maps, descriptions, datings and other studies, complemented by remote sensing. All sources and references are mentioned in the <em>Source_Material_GmsRSwGoAr</em>. Material and methods of mapping have been described in detail within the paper. <strong>Citation</strong> When using the data, please cite the data as ‘Rime, V., Foubert, A., Atnafu, B. & Kidane, T. (2022) Geological map of the southern Red Sea & western Gulf of Aden region. Zenodo’ and refer to the accompanying paper as ‘Rime, V., Foubert, A., Ruch, J. & Kidane, T. (2023), Tectonostratigraphic evolution and significance of the Afar Depression, <em>Earth-Science Reviews</em>, 244, 104519, https://doi.org/10.1016/j.earscirev.2023.104519 ’<em>.</em> The map and additional data are given without any guarantee of correctness. Any use of these are under the user’s full responsibility.The authors decline any responsibility. <strong>Acknowledgements</strong> This study was funded by the Swiss National Science Foundation (SNF project SERENA – SEdimentary REcord of the Northern Afar 200021_163114). We are grateful to the University of Fribourg (Switzerland), the University of Addis Ababa (Ethiopia), the Ethiopian Ministry of Mines and Energy, the Ethiopian Geological Survey, Circum Minerals, former Allana Potash and Yara Dallol for their support. We particularly acknowledge Samuel Getachew that helped us to access some of the geological maps. We thank David Jaramillo-Vogel, Jean-Charles Schaegis, Haileyesus Negga, Addis Endeshaw, Ermias Gebru, Eva de Boever, Juan-Carlos Braga, Pia Wyler, Xenia Haberditz, the Ethioder team as well as the regional and local administration of the Afar for their help and support during fieldwork.
DOI: 10.5281/zenodo.7351765
title: Geological map of the southern Red Sea & western Gulf of Aden region

description: <strong>Content</strong> This dataset contains a geological map of the southern Red Sea & western Gulf of Aden region (1:3’100’000), including all the associated data. This dataset includes: The map in JPEG, PDF, and GeoTIFF format The shapefiles of the map One document listing all sources used for the compilation of this map (<em>Source_Material_GmsRSwGoAr.pdf</em>) This database is an additional complement to the paper ‘Rime, V., Foubert, A., Ruch, J. & Kidane, T. (2023), Tectonostratigraphic evolution and significance of the Afar Depression, <em>Earth-Science Reviews</em>, 244, 104519, https://doi.org/10.1016/j.earscirev.2023.104519 ’<em>.</em> Note that a larger-scale map of the Afar Depression is available as 'Rime, V., Foubert, A., Atnafu, B. and Kidane, T. (2022) Geological map of the Afar Depression. <em>Zenodo</em>. https://doi.org/10.5281/zenodo.7351643 ' <strong>References</strong> The map was developed by compiling a large number of published maps, descriptions, datings and other studies, complemented by remote sensing. All sources and references are mentioned in the <em>Source_Material_GmsRSwGoAr</em>. Material and methods of mapping have been described in detail within the paper. <strong>Citation</strong> When using the data, please cite the data as ‘Rime, V., Foubert, A., Atnafu, B. & Kidane, T. (2022) Geological map of the southern Red Sea & western Gulf of Aden region. Zenodo’ and refer to the accompanying paper as ‘Rime, V., Foubert, A., Ruch, J. & Kidane, T. (2023), Tectonostratigraphic evolution and significance of the Afar Depression, <em>Earth-Science Reviews</em>, 244, 104519, https://doi.org/10.1016/j.earscirev.2023.104519 ’<em>.</em> The map and additional data are given without any guarantee of correctness. Any use of these are under the user’s full responsibility.The authors decline any responsibility. <strong>Acknowledgements</strong> This study was funded by the Swiss National Science Foundation (SNF project SERENA – SEdimentary REcord of the Northern Afar 200021_163114). We are grateful to the University of Fribourg (Switzerland), the University of Addis Ababa (Ethiopia), the Ethiopian Ministry of Mines and Energy, the Ethiopian Geological Survey, Circum Minerals, former Allana Potash and Yara Dallol for their support. We particularly acknowledge Samuel Getachew that helped us to access some of the geological maps. We thank David Jaramillo-Vogel, Jean-Charles Schaegis, Haileyesus Negga, Addis Endeshaw, Ermias Gebru, Eva de Boever, Juan-Carlos Braga, Pia Wyler, Xenia Haberditz, the Ethioder team as well as the regional and local administration of the Afar for their help and support during fieldwork.
DOI: 10.5281/zenodo.8321276
title: Data points for "Modelling sorption of hydrocarbons in polyethylene with the SAFT-γ Mie approach combined with a statistical-mechanical model to describe semi-crystalline polymers"

description: A variety of thermodynamic calculations (VLE, sorption isotherms, etc.) performed with a combination of the SAFT-γ equation of state and a novel model to account for the constraints affecting the amorphous domains in semi-crystalline polyethylene (PE). Please refer to the original article (published in Macromolecules) for the bibliography and more details.
DOI: 10.5281/zenodo.8308258
title: Data points for "Modelling sorption of hydrocarbons in polyethylene with the SAFT-γ Mie approach combined with a statistical-mechanical model to describe semi-crystalline polymers"

description: A variety of thermodynamic calculations (VLE, sorption isotherms, etc.) performed with a combination of the SAFT-γ equation of state and a novel model to account for the constraints affecting the amorphous domains in semi-crystalline polyethylene (PE). Please refer to the original article (published in Macromolecules) for the bibliography and more details.
DOI: 10.5281/zenodo.8321245
title: Images of daphnids (control and exposed to NMs) over multiple generations, scored by experts as toxic or non-toxic and the resulting deepDaph predictions

description: Background This study showcases a pioneering application of deep learning methodologies in ecotoxicology, aimed at facilitating hazard assessment and safer design of engineered nanomaterials (ENMs). The research hinges on a high-quality dataset comprising microscopic images of Daphnia magna exposed to various ENMs, collected systematically under controlled conditions. The Dataset: A Cornerstone of Nanoinformatics Our dataset, which will be openly accessible on Zenodo, serves as a foundational resource for the ecotoxicology community. It contains high-resolution images tagged with intricate details like malformations, tail lengths, lipid concentrations, and lipid deposit shapes. Researchers can use this exhaustive dataset to train a variety of predictive models for diverse applications. Methodology We employ two different deep learning architectures to process the dataset. These architectures automatically detect malformations and assess the impact of ENMs on D. magna by classifying various biological structures based on lipid densities. Results and Validation The developed models demonstrate high statistical validation, confirming their prediction accuracy on external D. magna images. Our dataset and the associated models not only accelerate manual procedures but also pave the way for automated, high-throughput analyses in ecotoxicology. Future Prospects The dataset holds the potential to extend investigations into predicting the impacts on future generations from parental exposures, thus reducing the time and cost of multi-generational toxicity assays.
DOI: 10.5281/zenodo.8321278
title: Raman Database for static heating and high pressure deformation experiments

description: This database corresponds to all Raman analyses, as well as their processing, used in Moris-Muttoni et al. 2023 Tectonophysics.
DOI: 10.5281/zenodo.8321277
title: Raman Database for static heating and high pressure deformation experiments

description: This database corresponds to all Raman analyses, as well as their processing, used in Moris-Muttoni et al. 2023 Tectonophysics.
DOI: 10.5281/zenodo.8321300
title: Inhibition of the α4β1 integrin activity by small Tellurium molecules Regulates PD-L1 Expression and Enhances Anti-Tumor Effect

description: Figs source data
DOI: 10.5281/zenodo.8321301
title: Inhibition of the α4β1 integrin activity by small Tellurium molecules Regulates PD-L1 Expression and Enhances Anti-Tumor Effect

description: Figs source data
DOI: 10.34740/kaggle/dsv/6424170
title: Egypt Gold Prices | Daily Updated
DOI: 10.25934/pr00008897
title: The impact of interventions for depression on self-perceptions in young people: A systematic review and meta-analysis

description: Depression is the experience of persistent low mood, lasting for two weeks or more. Alongside feelings of sadness, those experiencing depression often have difficulties with their appetite, sleep, motivation, and self-esteem. Around one third of adolescents experience symptoms of depression, and around 8% of adolescents meet the criteria for a diagnosis of major depressive disorder.

This review aims to understand whether treatments for depression change how young people think about themselves. People with depression often see themselves in a negative way, and research has found that this negative view of self may be an important contributor to experiencing depression. Understanding more about whether treatments change how young people view themselves (i.e. do they make people view themselves more positively) will help us to know whether current treatments for depression are working as they should, and understand how we can improve treatments for depression in the future.

We will do this by pooling together the results of all studies that test treatments for symptoms of depression in young people (compared with either a group of young people who do not receive a treatment, or who receive a different kind of treatment), and measure how young people think about themselves. We will look at whether some treatments improve how young people view themselves more than others, and whether there are some aspects of how young people view themselves (e.g. self-esteem, self-concept) that are changed more than others by treatment.
DOI: 10.6084/m9.figshare.23173310
title: pore-scale-coupled-two-phase-flow-and-interphase-mass-transfer

description: core images with high porosity and permeability polymesh with high porosity and permeability CO<sub>2</sub> saturation and concentration data
DOI: 10.21227/kyt6-zp69
title: ARImulti-mic: real-world speech recordings on a humanoid robot (ARI)

description: ARImulti-mic: real-world speech recordings on a humanoid robot (ARI)This dataset includes “real-world” experiments. A recording campaign was held in the acoustic laboratory at Bar-Ilan University. This lab is a [6×6×2.4]m room with a reverberation time controlled by 60 interchangeable panels covering the room facets.In our experiments, the reverberation time was set (by changing the panel arrangements) to either 350 ms, typical of a meeting room, or 600 ms, typical of a lecture hall. ARI by PAL Robotics is a humanoid robot with an Intel i9 processor and Nvidia Orin GPU.  ARI is equipped with ReSpeaker 4-Microphone Array v2.0, installed inside the robot's compartment, 80cm above its base.  In our experimental setup, ARI was positioned at the center of the acoustic lab, with a set of loudspeakers in front of it, on two semi-circles with approximately 1m and 2m radius, respectively. Our experiments only used the inner semi-circle with five loudspeakers positioned at [-65,-30,0,30,65]°. To generate a sample, we randomly selected two loudspeakers and played speech utterances randomly drawn from the Librispeech test set.  There are two mixed signals real mix and handy mix. The first format is composed of utterances that are transmitted at the same time. The second format is composed of utterances that were separately recorded by ARI and then manually mixed to enable SI-SDR calculation. The overlap between the speakers was randomly set in the range [25%,50%]. No external noise was added to the recordings; hence, only sensor and low-level ambient noise are present. Overall, 200 samples were generated at each reverberation level.
DOI: 10.25345/c53x83w8j
title: MassIVE MSV000092823 - GNPS - Fungal secondary metabolite screening in black apples
title: Dataset containing OSMAC on Penicillium expansum, Monilinia fructigena, Talaromyces minioluteus, Penicillium polonicum cultivated on different media to query against 43 black apple extracts to determine which fungal SMs are present.
DOI: 10.17864/1947.000464
title: Dataset supporting 'The use of salts, buffers and surfactants in LAP-MALDI MS'

description: As part of the PhD project 'Advancing liquid MALDI ion source designs and applications in modern biological mass spectrometry' funded by the University of Reading and Waters Corporation the influence of salts, buffers, surfactants and other substances on the LAP-MALDI MS signal of a peptide mix was investigated. The peptide mix containing leucine enkephalin, angiotensin I, bradykinin, substance P and melittin was mixed with substances at different concentrations. Those were: 1) buffers (HEPES, MES, MOPS, tris, tricine, PBS), 2) salts (chlorides of calcium, potassium, magnesium, sodium, ammonium and acetates of magnesium, ammonium and sodium), 3) surfactants (sodium dodecyl sulphate, sodium deoxycholate, octyl-beta-D-glucopyranoside, CHAPS, amidosulfobetamine-14), 4) ammonium salts and serine (ammonium acetate, tartrate, citrate, phosphate, oxalate) and 5) other substances (EDTA, ammonium sulphate, urea, bovine serum albumin, formic acid, trifluoracetic acid and dimethyl sulfoxide). All samples were analysed at least in triplicate with a water-based sample as reference. For the LAP-MALDI analysis a CHCA-based liquid support matrix was used and samples were analysed on a Synapt G2-SI. The data archived here include the raw data and sample locations.
DOI: 10.6084/m9.figshare.24087966
title: IJB_section 2.51

description: Anonymised data, data analysis scripts and HTML-file of the analyses
DOI: 10.6084/m9.figshare.24087966.v1
title: IJB_section 2.51

description: Anonymised data, data analysis scripts and HTML-file of the analyses
DOI: 10.6084/m9.figshare.24087906
title: How does the digitalization of tax collection and administration affect corporate investment efficiency? A Quasi-Natural Experiment from ,den Tax Project III

description: Taking the Golden Tax Project III as a quasi-natual experiment, this rearch uses a multi-period DID technique to investigate the impact of digitalizing tax collection and administration on corporate investment efficiency. Our empirical analysis of Chinese A-share listed companies from 2010 to 2021 revealed that digital tax enforcement could significantly boost corporate investment efficiency, mainly by suppressing overinvestment. The mechanisms investigated include reducing corporate agency conflicts and tightening financing constraints. According to the heterogeneity study, private enterprises, and those that are relatively controlled and have executives without financial backgrounds are more severely impacted by the digitization of tax administration. ,
DOI: 10.6084/m9.figshare.24087906.v1
title: How does the digitalization of tax collection and administration affect corporate investment efficiency? A Quasi-Natural Experiment from ,den Tax Project III

description: Taking the Golden Tax Project III as a quasi-natual experiment, this rearch uses a multi-period DID technique to investigate the impact of digitalizing tax collection and administration on corporate investment efficiency. Our empirical analysis of Chinese A-share listed companies from 2010 to 2021 revealed that digital tax enforcement could significantly boost corporate investment efficiency, mainly by suppressing overinvestment. The mechanisms investigated include reducing corporate agency conflicts and tightening financing constraints. According to the heterogeneity study, private enterprises, and those that are relatively controlled and have executives without financial backgrounds are more severely impacted by the digitization of tax administration. ,
DOI: 10.5517/ccdc.csd.cc2grd6v
title: CCDC 2286597: Experimental Crystal Structure Determination

description: Related Article: P. Mocilac, F. Pohl, J.F. Gallagher|2023|Acta Crystallogr.,Sect.E:Cryst.Commun.|79|837|doi:10.1107/S2056989023006837
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.cc2gv3q5
title: CCDC 2289217: Experimental Crystal Structure Determination

description: Related Article: M.J. Flores, B. Mai, J.M. Tanski|2023|Acta Crystallogr.,Sect.E:Cryst.Commun.|79|831|doi:10.1107/S2056989023007259
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.cc2gv3r6
title: CCDC 2289218: Experimental Crystal Structure Determination

description: Related Article: M.J. Flores, B. Mai, J.M. Tanski|2023|Acta Crystallogr.,Sect.E:Cryst.Commun.|79|831|doi:10.1107/S2056989023007259
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.8320599
title: Dustonly - Sample Data

description: <strong>Test case for dust simulations with Dustonly: Sahara Desert</strong> Model Description:<br> Dustonly is the standalone version of the dust emission scheme used in the aerosol transport model MUSCAT (Heinold et al.,2007; Wolke et al.,2012).<br> The Dustonly source code is available on GitHub. File Description: 10-m wind data (48h with 1h increment), calculated with the COSMO model v5.05 (Doms and Baldauf, 2018). Soil texture data from the SoilGrids database (Poggio et al., 2021) Mineralogical data from the GMINER database (Nickovic et al., 2012) Vegetation cover from Copernicus Global Land Service (Fuster et al., 2020) Grid file in CDO format, describing the model domain. Dustony NAMELIST, configuration to run the test case. The expected model output.
DOI: 10.5281/zenodo.8320600
title: Dustonly - Sample Data

description: <strong>Test case for dust simulations with Dustonly: Sahara Desert</strong> Model Description:<br> Dustonly is the standalone version of the dust emission scheme used in the aerosol transport model MUSCAT (Heinold et al.,2007; Wolke et al.,2012).<br> The Dustonly source code is available on GitHub. File Description: 10-m wind data (48h with 1h increment), calculated with the COSMO model v5.05 (Doms and Baldauf, 2018). Soil texture data from the SoilGrids database (Poggio et al., 2021) Mineralogical data from the GMINER database (Nickovic et al., 2012) Vegetation cover from Copernicus Global Land Service (Fuster et al., 2020) Grid file in CDO format, describing the model domain. Dustony NAMELIST, configuration to run the test case. The expected model output.
DOI: 10.5281/zenodo.7257829
title: ASN Database - v3.1 - Database of Simulated Room Impulse Responses for Acoustic Sensor Networks Deployed in Complex Multi-Source Acoustic Environments

description: We present a large set of simulated room impulse responses for a multi-room apartment. The simulated apartment models a real vacation apartment for which a recorded set of audio data has already been made available in the context of the DCASE challenges. The impulse responses were rendered using a dense grid of sources and receivers by means of a hybrid auralization algorithm based on a low-order image-source method and deterministic cone tracing. The proposed data set can be used to generate a wide variety of acoustic scenes which, in turn, can benefit numerous data-demanding machine-learning algorithms.<br> <br> To obtain more information on the database, please visit the website.<br> <strong>Please read the license file (available in the GitHub repository) before using the database.</strong>
DOI: 10.5281/zenodo.7257828
title: ASN Database - v3.2 - Database of Simulated Room Impulse Responses for Acoustic Sensor Networks Deployed in Complex Multi-Source Acoustic Environments

description: We present a large set of simulated room impulse responses for a multi-room apartment. The simulated apartment models a real vacation apartment for which a recorded set of audio data has already been made available in the context of the DCASE challenges. The impulse responses were rendered using a dense grid of sources and receivers by means of a hybrid auralization algorithm based on a low-order image-source method and deterministic cone tracing. The proposed data set can be used to generate a wide variety of acoustic scenes which, in turn, can benefit numerous data-demanding machine-learning algorithms.<br> <br> To obtain more information on the database, please visit the website.<br> <strong>Please read the license file (available in the GitHub repository) before using the database.</strong>
DOI: 10.5281/zenodo.8320987
title: ASN Database - v3.2 - Database of Simulated Room Impulse Responses for Acoustic Sensor Networks Deployed in Complex Multi-Source Acoustic Environments

description: We present a large set of simulated room impulse responses for a multi-room apartment. The simulated apartment models a real vacation apartment for which a recorded set of audio data has already been made available in the context of the DCASE challenges. The impulse responses were rendered using a dense grid of sources and receivers by means of a hybrid auralization algorithm based on a low-order image-source method and deterministic cone tracing. The proposed data set can be used to generate a wide variety of acoustic scenes which, in turn, can benefit numerous data-demanding machine-learning algorithms.<br> <br> To obtain more information on the database, please visit the website.<br> <strong>Please read the license file (available in the GitHub repository) before using the database.</strong>
DOI: 10.20394/twy2s4ti
title: Test dataset

description: test