cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.48579/pro/wrkt4o/u1rhpl
title: LSTD-2005-07.asc

description: :unav
DOI: 10.48579/pro/wrkt4o/bnokum
title: LSTN-2011-09.asc

description: :unav
DOI: 10.48579/pro/wrkt4o/1zjld5
title: LSTN-2003-01.asc

description: :unav
DOI: 10.48579/pro/wrkt4o/gczkzi
title: LSTD-2004-11.asc

description: :unav
DOI: 10.48579/pro/wrkt4o/esvfpp
title: LSTD-2005-01.asc

description: :unav
DOI: 10.48579/pro/wrkt4o/amfwaa
title: LSTN-2016-04.asc

description: :unav
DOI: 10.48579/pro/wrkt4o/v5khet
title: LSTD-2020-12.asc

description: :unav
DOI: 10.48579/pro/wrkt4o/se8dtr
title: LSTN-2016-07.asc

description: :unav
DOI: 10.48579/pro/wrkt4o/jjwg7c
title: NDVI-2002-04.asc

description: :unav
DOI: 10.6084/m9.figshare.22109414.v4
title: Single-cell gene set enrichment analysis and transfer learning for functional annotation of scRNA-seq data

description: Although an essential step, the functional annotation of cells often proves particularly challenging in the analysis of single-cell transcriptional data. Several methods have been developed to accomplish this task. However, in most cases, these rely on techniques initially developed for bulk RNA sequencing or simply make use of marker genes identified from cell clustering followed by supervised annotation. To overcome these limitations and automatise the process, we have developed two novel methods, the single-cell gene set enrichment analysis (scGSEA) and the single cell mapper (scMAP). scGSEA combines latent data representations and gene set enrichment scores to detect coordinated gene activity at single-cell resolution. scMAP uses transfer learning techniques to repurpose and contextualise new cells into a reference cell atlas. Using both simulated and real datasets, we show that scGSEA effectively recapitulates recurrent patterns of pathways’ activity shared by cells from different experimental conditions. At the same time, we show that scMAP can reliably map and contextualise new single cell profiles on a breast cancer atlas we recently released. Both tools are provided in an effective and straightforward workflow providing a framework to determine cell function and significantly improve annotation and interpretation of scRNA-seq data.
DOI: 10.5281/zenodo.7640726
title: Yiddish Periodicals in Germany

description: This is version 1 of a dataset of known historical Yiddish newspapers and periodicals published in Germany. The list is based upon cataloguing and holding information from the libraries and book listed in the readme file and Github repository. The list is provided as an Excel sheet and is a work in progress. Currently the list contains 227 items, 21 of which are available in digitised form. URLs for the digitised periodicals are provided; the list also provides holding locations for the other periodicals but no direct links to their online catalog records. Any comments and additions are most welcome, please get in touch via: gerben.zaagsma@uni.lu.
DOI: 10.5281/zenodo.7640725
title: Yiddish Periodicals in Germany

description: This is version 1 of a dataset of known historical Yiddish newspapers and periodicals published in Germany. The list is based upon cataloguing and holding information from the libraries and book listed in the readme file and Github repository. The list is provided as an Excel sheet and is a work in progress. Currently the list contains 227 items, 21 of which are available in digitised form. URLs for the digitised periodicals are provided; the list also provides holding locations for the other periodicals but no direct links to their online catalog records. Any comments and additions are most welcome, please get in touch via: gerben.zaagsma@uni.lu.
DOI: 10.5281/zenodo.6861995
title: Umfrage Forschungsdatenmanagement 2021 HU-Berlin

description: Forschungsdatenmanagement ist seit den ersten Anforderungen der Deutschen Forschungsgemeinschaft 2015 zu einem Bestandteil guter wissenschaftlicher Praxis geworden. Hochschulen sind dadurch aufgefordert, Forschende bestmöglich zu unterstützen. Seit 2013 erfolgten deutschlandweit Umfragen, um Desiderate bei Infrastruktur- und Serviceleistungen zu ermitteln. Eine Evaluation der Bedarfsadressierung fand bisher jedoch kaum statt. Die Daten gehören zu dem Artikel "Desiderate zum Forschungsdatenmanagement 2013 und 2022" beim Journal Information - Wissenschaft & Praxis und fasst Entwicklungen und Handlungsfelder auf Basis der Bedarfserhebungen der Humboldt-Universität zu Berlin zusammen.
description: {"references": ["J\u00e4ckel, Denise, Helbig, Kerstin, Odebrecht, Carolin (2022): Desiderate zum Forschungsdatenmanagement 2013 und 2022. In: Information \u2013 Wissenschaft & Praxis Vol. 73, Nr. 5-6, S. 265-276. https://doi.org/10.1515/iwp-2022-2239"]}
DOI: 10.5281/zenodo.6861994
title: Umfrage Forschungsdatenmanagement 2021 HU-Berlin

description: Forschungsdatenmanagement ist seit den ersten Anforderungen der Deutschen Forschungsgemeinschaft 2015 zu einem Bestandteil guter wissenschaftlicher Praxis geworden. Hochschulen sind dadurch aufgefordert, Forschende bestmöglich zu unterstützen. Seit 2013 erfolgten deutschlandweit Umfragen, um Desiderate bei Infrastruktur- und Serviceleistungen zu ermitteln. Eine Evaluation der Bedarfsadressierung fand bisher jedoch kaum statt. Die Daten gehören zu dem Artikel "Desiderate zum Forschungsdatenmanagement 2013 und 2022" beim Journal Information - Wissenschaft & Praxis und fasst Entwicklungen und Handlungsfelder auf Basis der Bedarfserhebungen der Humboldt-Universität zu Berlin zusammen.
description: {"references": ["J\u00e4ckel, Denise, Helbig, Kerstin, Odebrecht, Carolin (2022): Desiderate zum Forschungsdatenmanagement 2013 und 2022. In: Information \u2013 Wissenschaft & Praxis Vol. 73, Nr. 5-6, S. 265-276. https://doi.org/10.1515/iwp-2022-2239"]}
DOI: 10.6084/m9.figshare.22109780
title: Raw data for review and publication.zip

description: Raw data for review and publication
DOI: 10.6084/m9.figshare.22109780.v1
title: Raw data for review and publication.zip

description: Raw data for review and publication
DOI: 10.5281/zenodo.7225450
title: Dataset: A New Approach to Scribal Abbreviation in the Bestiaire in Merton College Library, MS 249

description: An accompanying dataset for analysis of scribal abbreviation in Oxford, Merton College Library, MS 249, ff. 1<sup>r</sup>-10<sup>v</sup>.
DOI: 10.5281/zenodo.7225449
title: Dataset: A New Approach to Scribal Abbreviation in the Bestiaire in Merton College Library, MS 249

description: An accompanying dataset for analysis of scribal abbreviation in Oxford, Merton College Library, MS 249, ff. 1<sup>r</sup>-10<sup>v</sup>.
DOI: 10.5281/zenodo.7646088
title: QM7 Decomposed Data

description: This data is in support of our article 'Decomposing Chemical Space: Applications to the Machine Learning of Atomic Energies' (arXiv:2212.09489). An example python script is provided with more details about the PySCF and DECODENSE settings. <strong>DATA</strong> The data is saved in Numpy .npz format. The files are named as b3lyp_{basis_set}_qm7_{decomposition}_atomization.npz The keys in each file correspond to: 'mol_idx': Molecule index corresponding to the molecule index in original QM7 dataset.<br> 'N' : Number of atoms in the molecule<br> 'Z' : Nuclear charges<br> 'R' : Coordinates (ångstrom)<br> 'E' : Total atomization energy (kcal/mol)<br> 'Ea' : Atomization energy per atom (kcal/mol)
DOI: 10.5281/zenodo.7646087
title: QM7 Decomposed Data

description: This data is in support of our article 'Decomposing Chemical Space: Applications to the Machine Learning of Atomic Energies' (arXiv:2212.09489). An example python script is provided with more details about the PySCF and DECODENSE settings. <strong>DATA</strong> The data is saved in Numpy .npz format. The files are named as b3lyp_{basis_set}_qm7_{decomposition}_atomization.npz The keys in each file correspond to: 'mol_idx': Molecule index corresponding to the molecule index in original QM7 dataset.<br> 'N' : Number of atoms in the molecule<br> 'Z' : Nuclear charges<br> 'R' : Coordinates (ångstrom)<br> 'E' : Total atomization energy (kcal/mol)<br> 'Ea' : Atomization energy per atom (kcal/mol)
DOI: 10.5281/zenodo.6599071
title: A set of Generalised Oscillator Strengths for the simulation of EELS spectra

description: This deposit contains a tabulated set of generalised oscillator strengths, which are required to compute the double differential cross sections for the inelastic scattering of fast electrons by atoms, i.e. for the simulation of EELS spectra. These tabulated values are calculated self-consistently within the local density approximation using the exchange correlation potential after Perdew [1]. For this a modified version of a program by Hamann is used [2]. Using this atomic potential the wave function of the ejected free electron is calculated, which is normalised by matching it to spherical Bessel and Neumann functions at large distances from the core [3]. The remaining integral constitutes a spherical Bessel transform. Using the convolution theorem this integral is solved with the fast Fourier transformation routine as done in [4]. An in depth discussion of the methods used in the calculation is under preparation. The data offered here is in the GOSH format, a file format developed for the distribution of such datasets. The format used to be called GOS5 at the time of the initial upload. A description of the file format as used here is included in the file `gos5.md`, while an up to date version can be found at: https://gitlab.com/gguzzina/gosh The code used to compute the GOS is publicly available at: https://github.com/Br0Fi/goscalc
description: {"references": ["[1] J. P. Perdew and A. Zunger, Phys. Rev. B 23 (1981), p. 5048", "[2] D. R. Hamann, Phys. Rev. B 40 (1989), p. 2980", "[3] M. Frigge, diploma thesis, WWU M\u00fcnster (2011)", "[4] J. D. Talman, Comp. Phys. Comm. 180 (2009), p. 332", "Egerton, R. F. (2009) Electron Energy-Loss Spectroscopy in the TEM. Rep. Prog. Phys., 72 (1), 016502. https://doi.org/10.1088/0034-4885/72/1/016502.", "Egerton, R. F. (2011) Electron Energy-Loss Spectroscopy in the Electron Microscope; Springer New York"]}
DOI: 10.5281/zenodo.7646328
title: SciExpeM - 10.5281/zenodo.7646328

description: Bastin et al. - Symposium (International) on Combustion, 1989, (22), 313-322
DOI: 10.5281/zenodo.7646327
title: SciExpeM - 10.5281/zenodo.7646328

description: Bastin et al. - Symposium (International) on Combustion, 1989, (22), 313-322
DOI: 10.34740/kaggle/dsv/5009336
title: GP,Banglalink,Robi,Airtel,Teletalk All Package-BD.
DOI: 10.48790/86v9-3g98
title: CZEQ – Catalogue of Earthquakes in the Czech Republic since 2000

description: Revised catalogue of earthquakes with epicentre in the Czech Republic and local magnitude ≥0.5 since 2000.
Official national catalogue by Czech Seismological Services at IG CAS and IPE MUNI.
Compiled from local and regional catalogues of IPE MUNI, IG CAS and some other contributors.
Updated annually.
DOI: 10.6084/m9.figshare.22106168
title: vGLUT1 and RGS14

description: vGLUT1 labeling in CA2 and corpus callosum of Shank 3B KO and WT mice. CA2 is labeled with RGS14
DOI: 10.6084/m9.figshare.22106168.v1
title: vGLUT1 and RGS14

description: vGLUT1 labeling in CA2 and corpus callosum of Shank 3B KO and WT mice. CA2 is labeled with RGS14
DOI: 10.6084/m9.figshare.21436668
title: Data files for Bayesian and evolutionary temperature dependent genome-scale model (etcGEM)

description: Python pickle files containing data for creating visualizations for the manuscript by Jakob Peder Pettersen and Eivind Almaas 2022 "Parameter inference for enzyme and temperature constrained genome-scale models". The compuational scripts for creating this data are available on GitHub (https://github.com/AlmaasLab/BayesianGEM). Note that this repository does not contain all intermediate files due to space constraints. See also the archived version of the software repository at https://doi.org/10.6084/m9.figshare.21436623.
DOI: 10.6084/m9.figshare.21436668.v1
title: Data files for Bayesian and evolutionary temperature dependent genome-scale model (etcGEM)

description: Python pickle files containing data for creating visualizations for the manuscript by Jakob Peder Pettersen and Eivind Almaas 2022 "Parameter inference for enzyme and temperature constrained genome-scale models". The compuational scripts for creating this data are available on GitHub (https://github.com/AlmaasLab/BayesianGEM). Note that this repository does not contain all intermediate files due to space constraints.
DOI: 10.6084/m9.figshare.21436668.v2
title: Data files for Bayesian and evolutionary temperature dependent genome-scale model (etcGEM)

description: Python pickle files containing data for creating visualizations for the manuscript by Jakob Peder Pettersen and Eivind Almaas 2022 "Parameter inference for enzyme and temperature constrained genome-scale models". The compuational scripts for creating this data are available on GitHub (https://github.com/AlmaasLab/BayesianGEM). Note that this repository does not contain all intermediate files due to space constraints. See also the archived version of the software repository at https://doi.org/10.6084/m9.figshare.21436623.
DOI: 10.5281/zenodo.7646338
title: Dataset and replication information for It's About Time: How to Study Intertemporal Choice in Systems Design

description: Dataset and replication package for the paper <em>It's About Time: How to Study Intertemporal Choice in Systems Design</em> (Fagerholm, F., De los Ríos, A., Cárdenas Castro, C., Gil, J., Chatzigeorgiou, A., Ampatzoglou, A., Becker, C. (2023). It’s About Time: How To Study Intertemporal Choice in Systems Design. Information and Software Technology.). The dataset consists of answers to a scenario-based questionnaire that collects data on intertemporal choice in the context of software development. An analysis script is provided to show the details of the calculations and analyses performed for the paper. The replication package includes the protocol for data collection sessions and different versions of the task scenario and questionnaire. More information is given in the description file.
description: This work was partially funded by NSERC RGPIN-2016-06640.
DOI: 10.5281/zenodo.7646337
title: Dataset and replication information for It's About Time: How to Study Intertemporal Choice in Systems Design

description: Dataset and replication package for the paper <em>It's About Time: How to Study Intertemporal Choice in Systems Design</em> (Fagerholm, F., De los Ríos, A., Cárdenas Castro, C., Gil, J., Chatzigeorgiou, A., Ampatzoglou, A., Becker, C. (2023). It’s About Time: How To Study Intertemporal Choice in Systems Design. Information and Software Technology.). The dataset consists of answers to a scenario-based questionnaire that collects data on intertemporal choice in the context of software development. An analysis script is provided to show the details of the calculations and analyses performed for the paper. The replication package includes the protocol for data collection sessions and different versions of the task scenario and questionnaire. More information is given in the description file.
description: This work was partially funded by NSERC RGPIN-2016-06640.
DOI: 10.5281/zenodo.7646262
title: Identification of the atmospheric water sources and pathways responsible for the East Asian summer monsoon rainfall

description: <strong>era_hydro_easm_jul2013_*.csv.gz:</strong> These three files are the raw output from the TRACMASS trajectory model. They stored positions of each trajectory at the start (ini file), during run (run file) and at the end (out file) during July 2013 and has been used for generating Figure 1. <strong>mask.nc:</strong> The basin definition in Figure 1 was plotted using this netcdf file. <strong>ep_traj_*.gz: </strong>The four zip files corresponds to four summer months (June, July, August, and September) and used to plot Figure 2. <strong>ep_traj_basins_*.gz: </strong>The four zip files corresponds to four summer months (June, July, August, and September) and used to plot Figure 3. <strong>quantification.gz: </strong>These files were used for quantification provided in Figure 4 and Figure 8. <strong>traj_pathways_*.gz: </strong>The two zip files (one for the South Indian Ocean, SIO and another for the Pacific Ocean, PAC) were used to generate Figure 5. <strong>traj_rt.gz: </strong>The residence time of atmospheric waters in Figure 6 was created using the files in this zip. <strong>traj_age_*.gz: </strong>The two zip files (one for the South Indian Ocean, SIO and another for the Pacific Ocean, PAC) were used to generate Figure 7.
DOI: 10.5281/zenodo.7646261
title: Identification of the atmospheric water sources and pathways responsible for the East Asian summer monsoon rainfall

description: <strong>era_hydro_easm_jul2013_*.csv.gz:</strong> These three files are the raw output from the TRACMASS trajectory model. They stored positions of each trajectory at the start (ini file), during run (run file) and at the end (out file) during July 2013 and has been used for generating Figure 1. <strong>mask.nc:</strong> The basin definition in Figure 1 was plotted using this netcdf file. <strong>ep_traj_*.gz: </strong>The four zip files corresponds to four summer months (June, July, August, and September) and used to plot Figure 2. <strong>ep_traj_basins_*.gz: </strong>The four zip files corresponds to four summer months (June, July, August, and September) and used to plot Figure 3. <strong>quantification.gz: </strong>These files were used for quantification provided in Figure 4 and Figure 8. <strong>traj_pathways_*.gz: </strong>The two zip files (one for the South Indian Ocean, SIO and another for the Pacific Ocean, PAC) were used to generate Figure 5. <strong>traj_rt.gz: </strong>The residence time of atmospheric waters in Figure 6 was created using the files in this zip. <strong>traj_age_*.gz: </strong>The two zip files (one for the South Indian Ocean, SIO and another for the Pacific Ocean, PAC) were used to generate Figure 7.
DOI: 10.6084/m9.figshare.16552776
title: Social information-mediated population dynamics in non-grouping prey

description: R scripts for model construction and simulated data.
DOI: 10.6084/m9.figshare.16552776.v1
title: Social information-mediated population dynamics in non-grouping prey

description: R scripts for model construction and simulated data.
DOI: 10.6084/m9.figshare.22109414.v5
title: Single-cell gene set enrichment analysis and transfer learning for functional annotation of scRNA-seq data

description: Although an essential step, the functional annotation of cells often proves particularly challenging in the analysis of single-cell transcriptional data. Several methods have been developed to accomplish this task. However, in most cases, these rely on techniques initially developed for bulk RNA sequencing or simply make use of marker genes identified from cell clustering followed by supervised annotation. To overcome these limitations and automatise the process, we have developed two novel methods, the single-cell gene set enrichment analysis (scGSEA) and the single cell mapper (scMAP). scGSEA combines latent data representations and gene set enrichment scores to detect coordinated gene activity at single-cell resolution. scMAP uses transfer learning techniques to repurpose and contextualise new cells into a reference cell atlas. Using both simulated and real datasets, we show that scGSEA effectively recapitulates recurrent patterns of pathways’ activity shared by cells from different experimental conditions. At the same time, we show that scMAP can reliably map and contextualise new single cell profiles on a breast cancer atlas we recently released. Both tools are provided in an effective and straightforward workflow providing a framework to determine cell function and significantly improve annotation and interpretation of scRNA-seq data.
DOI: 10.35078/fd5hxa
title: Replication Data for: Ficha epidemiológica de localidade: Distrito: Montes Claros | Município: Ubaí

description: Levantamento Triatomínico com operações de campo ocorridas em Minas Gerais pela Superintendência de Campanhas de Saúde Pública (SUCAM) e FUNASA (Fundação Nacional de Saúde), no período de 1979 a 1999, objetivando a busca da presença de vetores da doença de Chagas ou de vestígios dessa presença. A partir dela são orientadas as operações com inseticida (pt) Triatomine survey with field operations carried out in Minas Gerais by the Public Health Campaigns Superintendence (SUCAM) and FUNASA (National Health Foundation), from 1979 to 1999, aiming to search for the presence of Chagas disease vectors or traces of that presence. From it, operations with insecticide are guided (en) Encuesta de triatominos con operaciones de campo realizada en Minas Gerais por la Superintendencia de Campañas de Salud Pública (SUCAM) y FUNASA (Fundación Nacional de Salud), de 1979 a 1999, con el objetivo de buscar la presencia de vectores de la enfermedad de Chagas o rastros de esa presencia. Desde ella se orientan las operaciones con insecticida (es)
DOI: 10.34740/kaggle/dsv/5009532
title: 2021 World Population (updated daily)
DOI: 10.34740/kaggle/dsv/5009599
title: Nifty-50 & Nifty Future 50 Dataset
DOI: 10.22000/1726
title: Interkulturelle Kommunikation3
DOI: 10.22000/1729
title: Observation Protocol and Interview Questionnaire
DOI: 10.22000/1629
title: Microfabrication Approaches on Magnetic Shape Memory Films

description: This dataset contains all data used for the publication of the paper " Microfabrication Approaches on Magnetic Shape Memory Films ". The purpose of this research was to test different microfabrication approaches to fabricate patterned structures from epitaxial magnetic shape memory films and then partially release them from the substrate. The research was performed under a BAM-IFW tandem project.
DOI: 10.22000/1655
title: Resonating holes vs molecular spin-orbit coupled states in group-5 lacunar spinels
DOI: 10.22000/1736
title: NaRuO2: Kitaev-Heisenberg exchange in triangular-lattice setting
DOI: 10.17630/d591aa48-7239-40b0-afef-9f63dac86e9c
title: A General Model to Optimise Copper(II) Labelling Efficiency of Double-Histidine Motifs for Pulse Dipolar EPR Applications (Dataset)
DOI: 10.22000/354
title: GassmannJAMES2020
title: Supplement to: Inherent dissipation of upwind-biased potential temperature advection and its feedback to model dynamics

description: Data to reproduce the figures in publication.
DOI: 10.22000/774
title: GrygalashvylyACP2018

description: Data to reproduce the figures in publication.
DOI: 10.22000/344
title: GrygalashvylyJASTP2020
title: Supplement to "Nighttime O(1D) and corresponding Atmospheric Band emission (762 nm) derived from rocket-borne experiment"

description: Data to reproduce the figures in publication.
DOI: 10.22000/749
title: BergerACP2019

description: Data to reproduce the figures in publication.
DOI: 10.22000/771
title: GerdingACP2018

description: Data to reproduce the figures in publication.
DOI: 10.22000/772
title: GerdingAMT2016

description: Data to reproduce the figures in publication.
DOI: 10.22000/773
title: GerdingGRL2018

description: Data to reproduce the figures in publication.
DOI: 10.22000/337
title: GerdingJASTP2020

description: Data to reproduce the figures in the publication.
DOI: 10.22000/776
title: HildebrandACP2017

description: Data to reproduce the figures in publication.
DOI: 10.22000/778
title: LangenbachAMT2019

description: Data to reproduce the figures in publication.
DOI: 10.22000/405
title: Luebken-AMT-2021

description: Data to reproduce the figures in publication.
DOI: 10.22000/705
title: Luebken-Frontiers-2022

description: Data to reproduce the figures in publication.
DOI: 10.22000/788
title: LuebkenJGR2015

description: Data to reproduce the figures in publication.
DOI: 10.22000/780
title: LübkenGRL2014

description: Data to reproduce the figures in publication.
DOI: 10.22000/781
title: LübkenGRL2018

description: Data to reproduce the figures in publication.
DOI: 10.22000/782
title: LübkenJGR1999

description: Data to reproduce the figures in publication.
DOI: 10.22000/783
title: LübkenJGR2003

description: Data to reproduce the figures in publication.