cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.25345/c5mw28r5d
title: MassIVE MSV000093796 - Quantitative analysis of ribosomal protein expression in bacteria
title: Analysis of ribosomal proteins purified as ribosome particles. Two set of samples were analyzed: 1) ribosomes purified from bacteria expressing sgRNA that does not target any ribosomal RNA gene (control); 2) ribosomes purified from bacteria expressing sgRNA targeting three ribosomal RNA genes. The aim of the project is to quantify the peptides and compare both sets of samples. The ribosomal peptides prepared from the bacteria expressing the sgRNA targeting the rRNA genes are expected to be less abundant than in the control samples. The two sample sets are the following: A-D (four biological replicates) are the samples from the bacteria expressing functional sgRNA downregulating three rRNA genes. E-H (four biologicial replicates) are the control samples from the bacteria expressing sgRNA that do not target any rRNA gene. All the sampes were spiked with an almost equivalent amount of ribosomes from a WT strain grown in almost 100% 13C and 15N labelled minimum medium. Ribosomes were purified according to published protocols. Basically, the ribosome particles are sedimented by ultra-centrifugation in a saccharose-rich medium. The recovered pellets were resuspended for electrophoretic migration (stacking gel only) for later in-gel trypsinolysis. The obtained peptides were extracted from the gel according to standard procedures and analyzed by LC-MS/MS on a QExactivePlus Orbitrap mass spectrometer (Thermo scientific). The raw data were converted to mzXML (raw data files) and processed using our proteomics software suite (i2MassChroQ, see http://pappso.inrae.fr/en/bioinfo/). The database search engine was X!Tandem, that produces, for each MS run file analyzed, a corresponding XML file, that we submit here as the database search identification data files). The X!Tandem program was first configured to run without accounting for labelled peptides (one set of "light-only" XML files were thus generated by X!Tandem). Then, X!Tandem was configured to account for all the residues labelled 100% with 13C and 15N (one set of "heavy-only" XML files were thus generated by X!Tandem). We loaded first the "light-only" X!Tandem-generated XML files in i2MassChroq, checked the quality of the data and wrote to disk an XPIP (i2MassChroq project file) file for the four replicates of both sample sets all taken together. Then we did this likewise for the "heavy-only" X!Tandem-generated XML files (at this time we configured i2MassChroQ to look for heavy-isotope-labelled peptides). We finally open the two XPIP files (light-only and heavy-only) and save the combination of the data to a new XPIP file (light-and-heavy). The quantitative analysis was performed inside the i2MassChroq's MassChroQ module which is then directed to write a spreadsheet file with all the identification/quantification data of the peptides. That spreadsheet file was then used within GNU-R to perform data reformatting and peptide quantification work (comparison of the amount of selected peptides belonging to known ribosome subunits between the two data sets).
DOI: 10.25405/data.ncl.24118743.v1
title: Chesseract Dataset

description: A dataset containing the images and labels for the Chesseract data used in the CVPR NAS workshop Unseen-data challenge under the codename "Chester"The Chesseract dataset is constructed from publicly accessible Chess games played by Grandmasters: Bobby Fischer, Garry Kasparov, Magnus Carlsen, Viswanathan Anand, Hikaru Nakamura, Anatoly Karpov, Fabiano Caruana, and Mikhail Tal.We extracted the final 15% of board states where the nth board state refers to the position after N moves.Chesseract uses 12 channels to encode the information rather than the traditional 2 or 3 for grayscale and RGB images respectively. Each channel represents a singular piece type and colour combination. In essence, this has allowed us to represent the pieces and their position on the board in a one-hot encoded format.A rendering of one of the board states has been included in this archive to demonstrate how the machine perceives the dataset. A 2D traditional of the same board state is also included. Please note in the 3D rendering the white pieces have been rendered as gray to be more visible.The data is in a channels-first format with a shape of (n, 12, 8, 8) where n is the number of samples in the corresponding set (49,998 for training, 10,001 for validation, and 10,001 for testing).There are three classes in the dataset, with labels23,333 examples of each distributed as evenly as possible between the three subsets.The three classes and corresponding numerical labels are as follows:<br>White wins: 0,<br>Draw: 1,<br>Black ins: 2<br>
DOI: 10.25405/data.ncl.24050256.v2
title: GeoClassing Dataset

description: Dataset containing the images and labels for the GeoClassing data used in the CVPR NAS workshop Unseen-data challenge under the codename "Sadie"The GeoClassing dataset is comprised of 70,000 BigEarthNet samples with corresponding labels that indicate the location being captured in the image.The data is in a channels-first format with a shape of (n, 3, 64, 64) where n is the number of samples in the corresponding set (50,000 for training, 10,000 for validation, and 10,000 for testing).There are ten classes in the dataset, with 7000 examples of each, distributed evenly between the three subsets.The ten classes and corresponding numerical label are as follows:Ireland: 0,<br>Lithuania: 1,<br>Austria: 2,<br>Finland: 3,<br>Serbia: 4,<br>Belgium: 5,<br>Luxembourg: 6,<br>Kosovo: 7,<br>Switzerland: 8,<br>Portugal: 9
DOI: 10.5281/zenodo.7628956
title: Past, present and future rainfall erosivity in Central Europe

description: Past, present and future rainfall erosivity in central Europe calculated from convection-permitting climate simulations in COSMO-CLM using emission scenario RCP 8.5. A description of the dataset and methodology is given in the article "Past, present and future rainfall erosivity in central Europe based on convection-permitting climate simulations" by Magdalena Uber et al. (2024) in Hydrology and Earth System Sciences (https://doi.org/10.5194/hess-28-87-2024).

This work was funded by the German Federal Ministry for Digital and Transport Network of Experts.
DOI: 10.5281/zenodo.7628957
title: Past, present and future rainfall erosivity in Central Europe

description: Past, present and future rainfall erosivity in central Europe calculated from convection-permitting climate simulations in COSMO-CLM using emission scenario RCP 8.5. A description of the dataset and methodology is given in the article "Past, present and future rainfall erosivity in central Europe based on convection-permitting climate simulations" by Magdalena Uber et al. (2024) in Hydrology and Earth System Sciences (https://doi.org/10.5194/hess-28-87-2024).

This work was funded by the German Federal Ministry for Digital and Transport Network of Experts.
DOI: 10.6084/m9.figshare.22960802
title: Solutions for recycling emerging wind turbine blade waste in China are not yet effective

description: These datasets include a high-resolution wind turbine blade waste database and environmental and cost datasets for China.
DOI: 10.6084/m9.figshare.24967788
title: Supplemental file for peer review.docx

description: The data describes the supplemental material for the association between microvascular diseases in persons with type 2 diabetes mellitus and fracture risk
DOI: 10.6084/m9.figshare.24967788.v1
title: Supplemental file for peer review.docx

description: The data describes the supplemental material for the association between microvascular diseases in persons with type 2 diabetes mellitus and fracture risk
DOI: 10.5281/zenodo.10406111
title: Supporting Data and Code for "Topological Order from Measurements and Feed-Forward on a Trapped Ion Quantum Computer"

description: Supporting Data and Code for the paper "Topological Order from Measurements and Feed-Forward on a Trapped Ion Quantum Computer". 

Navigate to wen16/ then pip install -r requirements.txtTo generate all the plots/data run plots_and_data.ipynb
DOI: 10.5281/zenodo.7693061
title: Supporting Data and Code for "Topological Order from Measurements and Feed-Forward on a Trapped Ion Quantum Computer"

description: Supporting Data and Code for the paper "Topological Order from Measurements and Feed-Forward on a Trapped Ion Quantum Computer". 

Navigate to wen16/ then pip install -r requirements.txtTo generate all the plots/data run plots_and_data.ipynb
DOI: 10.5281/zenodo.7693062
title: Supporting Data and Code for "Topological Order from Measurements and Feed-Forward on a Trapped Ion Quantum Computer"

description: Supporting Data and Code for the paper "Topological Order from Measurements and Feed-Forward on a Trapped Ion Quantum Computer". Code to produce quantum circuits and analyse data in the main folder. Data, including full lists of all shots from H1 in folder data_request.
DOI: 10.25625/gdfcfp/vzvw2p
title: Master_Thesis__Running_Kubernetes_Workloads_on_Rootless_HPC_Systems_Using_Slurm.pdf

description: :unav
DOI: 10.25625/gdfcfp
title: Running Kubernetes Workloads on Rootless HPC Systems using Slurm

description: Kubernetes, the leading container orchestration platform in today’s market, empowers the deployment, scaling, and management of containerized applications on cloud infrastructure. In contrast to that, in High-Performance Computing (HPC), users utilize multi-node compute systems comprising powerful bare-metal servers. To submit and manage workloads, these systems usually run workload managers such as Slurm. By combining the two worlds, you can potentially take advantage of both Slurm and Kubernetes, as well as HPC and cloud features, to create usable, high-performance sys- tems. Due to the different operation paradigms of Kubernetes and Slurm, its integration imposes several challenges. As an example, an important factor are root-privileges, which are generally not available for operational use on HPC machines. This limits the available system features and consequently the usage of software including integra- tion approaches for Slurm and Kubernetes. Additional challenges arise with respect to compute, storage, and network performance, as well as regarding usability and maintainability of such approaches. Existing approaches such as Bridge-Operator by IBM, WLM-operator by Sylabs Inc., kube-slurm by Kalen Peterson, slurm-k8s-bridge by SchedMD, and HPK by the foun- dation for research and technology Hellas, explore solutions to this challenges. However, no solution supports all of the core Kubernetes features for use on the Slurm cluster. In this thesis, in order to address this gap, we propose a new approach called Kind Slurm Integration (KSI) that creates a temporary Kubernetes cluster in a rootless Podman container for workload execution. To provide a comparison as well as an assessment for certain use cases involving several functional requirements, quality requirements, and constraints, we provide a systematic evaluation of all relevant integration approaches. Major results are significant differences regarding startup time, storage and network performance. With respect to our findings, each project excels in certain use cases. We conclude that there is no definite solution yet, thus more research on benchmarking, optimization, and integration is needed.
DOI: 10.5281/zenodo.10473342
title: GNSS derived Total Electron Content variation of the Ionosphere along the annularity path during the Annular Solar Eclipse of 21 June 2020

description: This is data for GNSS receivers used in this work
DOI: 10.5281/zenodo.10473343
title: GNSS derived Total Electron Content variation of the Ionosphere along the annularity path during the Annular Solar Eclipse of 21 June 2020

description: This is data for GNSS receivers used in this work
DOI: 10.48544/43b758ad-0899-4a9f-bd9a-c8ebf81e9f71
title: test DOI
DOI: 10.6084/m9.figshare.24236311
title: The transcriptome assembly of the annelid worm <i>Hediste diversicolor</i>

description: Hediste_diversicolor_transcriptome_V1.fa.gz - version 1 of the transcriptome assembly of Hediste divesicolorHediste_diversicolor_transcriptome_V2.fa.gz - version 2 of the transcriptome assembly of Hediste divesicolorHediste_diversicolor_proteins.fa.gz - Protein sequences of transcriptome of Hediste divesicolorHediste_diversicolor_mrna.fa.gz - mrna sequences of transcriptome of Hediste divesicolorHediste_diversicolor_genes.fa.gz - Genes sequences of transcriptome of Hediste divesicolorHediste_diversicolor_cds.fa.gz - Cds sequences of transcriptome of Hediste divesicolorHediste_diversicolor_annotation.gff3.gz - Annotation file of transcriptome of Hediste divesicolor
DOI: 10.5281/zenodo.10473274
title: Base de datos de candidatos en organizaciones locales de partido en España (2011-2015)

description: Esta base de datos captura atributos sociodemográficos (como el origen nacional) y contextuales (partidistas y de los municipios) de las élites políticas (candidatos) en el nivel local en España entre 2011 y 2015 a través de la información recogida mediante un cuestionario a las agrupaciones locales de los partidos. Este trabajo es una continuación de un proyecto anterior cuyo objetivo era también generar una base de datos sobre inclusión y representación descriptiva de candidatos a elecciones municipales.

La ficha técnica de la base y el cuestionario se encuentra en un registro separado disponible aquí.
DOI: 10.5281/zenodo.10473275
title: Base de datos de candidatos en organizaciones locales de partido en España (2011-2015)

description: Esta base de datos captura atributos sociodemográficos (como el origen nacional) y contextuales (partidistas y de los municipios) de las élites políticas (candidatos) en el nivel local en España entre 2011 y 2015 a través de la información recogida mediante un cuestionario a las agrupaciones locales de los partidos. Este trabajo es una continuación de un proyecto anterior cuyo objetivo era también generar una base de datos sobre inclusión y representación descriptiva de candidatos a elecciones municipales.

La ficha técnica de la base y el cuestionario se encuentra en un registro separado disponible aquí.
DOI: 10.5517/ccdc.csd.ccnpnfd
title: CCDC 616634: Experimental Crystal Structure Determination

description: Related Article: Patrick J. Murphy, Peter N. Horton, Michael B. Hursthouse|2003|University of Southampton, Crystal Structure Report Archive||1154|
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.cc271g2v
title: CCDC 2056976: Experimental Crystal Structure Determination

description: Related Article: Mickaele Bonneau, Kunihisa Sugimoto, Ken‐ichi Otake, Yukiko Tsuji, Nanae Shimanaka, Christophe Lavenn, Susumu Kitagawa|2021|Nat. Sci.|1|e10020|doi:10.1002/ntls.10020
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.cc2d0wr2
title: CCDC 2205394: Experimental Crystal Structure Determination

description: Related Article: Ashis Mathuri, Buddhadeb Pal, Milan Pramanik, Anupam Manna, Prasenjit Mal|2024|Cat.Sci.Tech.|14|183|doi:10.1039/D3CY01478A
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.cc2fk9jv
title: CCDC 2250957: Experimental Crystal Structure Determination

description: Related Article: Anna Bücker, Christoph Wölper, Hannah Siera, Gebhard Haberhauer, Stephan Schulz|2024|Dalton Trans.|53|640|doi:10.1039/D3DT03944G
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.cc2fk9kw
title: CCDC 2250958: Experimental Crystal Structure Determination

description: Related Article: Anna Bücker, Christoph Wölper, Hannah Siera, Gebhard Haberhauer, Stephan Schulz|2024|Dalton Trans.|53|640|doi:10.1039/D3DT03944G
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.cc2fk9lx
title: CCDC 2250959: Experimental Crystal Structure Determination

description: Related Article: Anna Bücker, Christoph Wölper, Hannah Siera, Gebhard Haberhauer, Stephan Schulz|2024|Dalton Trans.|53|640|doi:10.1039/D3DT03944G
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.cc2gpzkq
title: CCDC 2285244: Experimental Crystal Structure Determination

description: Related Article: Miao-Miao Wang, Tian-Zheng Xiong, Bo-Chen Chen, Jun-Jie Hu, He-Rui Wen, Sui-Jun Liu|2023|Inorg.Chem.|62|21322|doi:10.1021/acs.inorgchem.3c03406
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.10473498
title: Kaposi's sarcoma: evaluation of clinical features, treatment outcomes and prognosis in a single-center retrospective case series

description: Kaposi sarcoma (KS) is a low-grade vascular tumor associated with human herpesvirus 8 (HHV8) infection. There are four widely recognized types of KS including classic, endemic, iatrogenic, and epidemic forms. Although in most cases KS is an indolent disease limited to the skin, it may have a more aggressive behavior resulting in locally aggressive disease and/or involving mucosae or visceral organs, especially in immunosuppressed patients. The main risk factors are HHV-8 infection and immunosuppression status. Treatment is very heterogenous because there is still no unified strategy for the treatment of KS. The aim of this study is to describe the demographic and clinical features, treatment outcomes and prognosis of a cohort of patients affected by KS treated at the University Hospital of Padua (AOPD) and at the Veneto Institute of Oncology (IOV) between 1993 and 2022.
DOI: 10.5281/zenodo.10473499
title: Kaposi's sarcoma: evaluation of clinical features, treatment outcomes and prognosis in a single-center retrospective case series

description: Kaposi sarcoma (KS) is a low-grade vascular tumor associated with human herpesvirus 8 (HHV8) infection. There are four widely recognized types of KS including classic, endemic, iatrogenic, and epidemic forms. Although in most cases KS is an indolent disease limited to the skin, it may have a more aggressive behavior resulting in locally aggressive disease and/or involving mucosae or visceral organs, especially in immunosuppressed patients. The main risk factors are HHV-8 infection and immunosuppression status. Treatment is very heterogenous because there is still no unified strategy for the treatment of KS. The aim of this study is to describe the demographic and clinical features, treatment outcomes and prognosis of a cohort of patients affected by KS treated at the University Hospital of Padua (AOPD) and at the Veneto Institute of Oncology (IOV) between 1993 and 2022.
DOI: 10.34740/kaggle/dsv/7250179
title: Data Scientist - Linkedin Job Postings
DOI: 10.34740/kaggle/dsv/7253773
title: Data Analyst Job Postings
DOI: 10.25405/data.ncl.24317050
title: Growth curves and substrate utilisation data for the individual members of a synthetic oral community

description: This data represent the growth curves and substrate utilisation data for <i>S. gordonii </i>DL1; <i>S. mutans</i><i> </i>UA159; <i>A. oris</i><i> </i>MG1; <i>N. subflava</i> DSM17610; and <i>V. parvula</i><i> </i>DSM2008.
DOI: 10.25405/data.ncl.24317050.v1
title: Growth curves and substrate utilisation data for the individual members of a synthetic oral community

description: This data represent the growth curves and substrate utilisation data for <i>S. gordonii </i>DL1; <i>S. mutans</i><i> </i>UA159; <i>A. oris</i><i> </i>MG1; <i>N. subflava</i> DSM17610; and <i>V. parvula</i><i> </i>DSM2008.
DOI: 10.25405/data.ncl.24851244
title: Bulk data (OD<sub>600nm</sub>; substrate concentration; pH) recorded in the CDC biofilm reactors

description: This data represents the bulk measurements (OD<sub>600nm</sub>; substrate concentration; pH) for the experiments performed in the CDC biofilm bioreactors. All the experiments included the synthetic community formed by <i>S. gordonii </i>DL1; <i>S. mutans</i><i> </i>UA159; <i>A. oris</i><i> </i>MG1; <i>N. subflava</i> DSM17610; and <i>V. parvula</i><i> </i>DSM2008.
DOI: 10.25405/data.ncl.24851244.v1
title: Bulk data (OD<sub>600nm</sub>; substrate concentration; pH) recorded in the CDC biofilm reactors

description: This data represents the bulk measurements (OD<sub>600nm</sub>; substrate concentration; pH) for the experiments performed in the CDC biofilm bioreactors. All the experiments included the synthetic community formed by <i>S. gordonii </i>DL1; <i>S. mutans</i><i> </i>UA159; <i>A. oris</i><i> </i>MG1; <i>N. subflava</i> DSM17610; and <i>V. parvula</i><i> </i>DSM2008.
DOI: 10.25405/data.ncl.24856227.v1
title: Relative abundance (as measured by qPCR) for the synthetic oral community

description: This data includes the qPCR results for the five members of the synthetic community (<i>S. gordonii </i>DL1; <i>S. mutans</i><i> </i>UA159; <i>A. oris</i><i> </i>MG1; <i>N. subflava</i> DSM17610; and <i>V. parvula</i><i> </i>DSM2008) as measured in the bulk and biofilms sampled from the CDC biofilm bioreactors.
DOI: 10.25405/data.ncl.24856227
title: Relative abundance (as measured by qPCR) for the synthetic oral community

description: This data includes the qPCR results for the five members of the synthetic community (<i>S. gordonii </i>DL1; <i>S. mutans</i><i> </i>UA159; <i>A. oris</i><i> </i>MG1; <i>N. subflava</i> DSM17610; and <i>V. parvula</i><i> </i>DSM2008) as measured in the bulk and biofilms sampled from the CDC biofilm bioreactors.