cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17026/dans-zs4-gx5u
title: Veteranen Instituut, IPNV, interview 686

description: De geinterviewde is geboren in 1927 in Nederland. Hij werd uitgezonden naar Nederlands-Indie, Nieuw-Guinea en Libanon. In Nederland maakte hij de Tweede Wereld Oorlog mee. Hij vertelt over het onderduiken en de laatste hongerwinter. Na de oorlog meldde de geinterviewde zich direct als oorlogsvrijwilliger. Hij zat bij de X-brigade. Terug in Nederland ging hij bij defensie werken als instructeur wat hij een heel plezierig beroep vond. Hij wilde carriere maken en werd in Vught geplaatst. Hij volgde de opleiding Russische taal, maar kwam niet bij de inlichtingencompagnie maar bij de NAVO in Frankrijk terecht. Hierna werkte hij als bataljons adjudant in Nederland bij de afdeling inlichtingen. Later meldde hij zich aan voor Libanon. Hij klaagt over het beleid van de vredesmissies. Hij vertelt over zijn oorlog gerelateerde activiteiten na terugkomst uit Libanon. Hij heeft veel moeite met het sneuvelen van lokalen en schaamt zich voor de stand van zaken in Nieuw Guinea.
DOI: 10.17026/dans-xbx-684s
title: Getuigen Verhalen, Kamp Amersfoort, interview 043

description: Na enkele jaren van de oorlog zijn de eerste represaille-executies in Amsterdam voor geïnterviewde (1919) en zijn broer de aanleiding om in het verzet te gaan. Ze willen naar Engeland oversteken met een vissersschip vanuit IJmuiden. Dat blijkt verraden te zijn. Ze worden mei 1943 opgepakt en overgebracht naar de gevangenis in Scheveningen, zitten daar 4 maanden vast en worden 1 keer verhoord. Met zijn broer gaat geïnterviewde begin september 1943 op transport naar Vught. Hij ervaart Vught in die tijd als een relatief goed kamp. Ze gaan in februari 1944 via Kamp Amersfoort op transport naar Natzweiler-Struthof. Het verblijf in Kamp Amersfoort duurt 10 dagen. Al die tijd zitten ze in een barak waar ze niet uit mogen. Toch heeft geïnterviewde wel ervaren dat het verblijf in kamp Amersfoort behoorlijk slechter was dan in Vught, maar relatief toch nog beter in vergelijking met wat hij later in Natzweiler Struthof en Dachau mee maakt. Natzweiler was een ruig en wreed kamp. Een al in Natzweiler aanwezige Nederlandse gevangene maakt hem wegwijs over de leefregels in Natzweiler, tips die zeer nuttig bleken als je wilde overleven. Geïnterviewde maakt mee hoe op een nacht 20 Fransen binnen worden gebracht en diezelfde nacht nog worden vermoord en gecremeerd. Het leven en het reguliere werk in de Steinbruch is bijzonder zwaar. Appèls van 5 tot 6 uur als een gevangene zoek is, zijn geen uitzondering. Zowel zijn broer als hijzelf weten na verloop van tijd een beter baantje te krijgen. Het eten was heel slecht en er is veel honger geleden. De Nederlanders hadden onderling een goed contact, zo ook met de Belgen en Noren die daar zaten. In september 1944 komen de geallieerde bevrijders steeds dichterbij en alle gevangenen worden naar Dachau overgebracht. Aanvankelijk wordt hij samen met zijn broer tewerkgesteld in een buitenkamp in Augsburg waar het leven ook heel slecht is. In januari 1945 moet hij weer terug naar Dachau omdat hij een NN gevangene is. Hij overleeft de vlektyfus en wordt na zijn herstel ziekenbroeder om medegevangenen te verzorgen. Geïnterviewde wordt bevrijd door de Amerikanen en vervolgen samen met een aantal andere Nederlandse Natzweilers aangesteld als 'Prisoners MP' om de orde te bewaken en te zorgen dat niet iedereen met een besmettelijke ziekte het kamp uitloopt. Uiteindelijk keert hij in juni 1945 terug naar Nederland. Geïnterviewde vertelt ook uitgebreid over zijn ervaringen na de oorlog.
DOI: 10.5281/zenodo.8005678
title: Dataset and Model for "Understanding the limits to short-range order suppression in many-component disordered rock salt lithium-ion cathode materials"

description: Data and Model For "Understanding the limits to Short-range order Suppression in Many-Component Disordered Rock Salt Lithium-ion Cathode Materials" Paper DOI: 10.1039/D3TA02088F Raw data (VASP calculations) and production model for the associated paper. - `cluster_expansions` contains the final model used for the analysis in the<br> paper. The model can be loaded using the `icet` cluster expansion package<br> using ```<br> from icet import ClusterExpansion # requires the icet python package ce = ClusterExpansion.read("cluster_expansion.ce")<br> ```<br> <br> see the icet docs for how to manipulate this object: https://icet.materialsmodeling.org/ - `raw_data` contains the data used to fit the model. The calculation data<br> contains the raw vasp calculations in tar.gz files, and each training<br> generation has an associated `.json` files. The files contain Pymatgen<br> ComputedStructureEntry objects. Probably the easiest way to load these <br> into a python script is ```<br> from monty serialization import loadfn # requires the monty package<br> <br> training_data = loadfn("calculation_data.json")<br> ``` - element references contains VASP calculations (stored as above) for <br> the elemental reference calculations used to determine the formation<br> energies of the training structures
DOI: 10.5281/zenodo.8005706
title: Supplementary datasets: sciCSR infers B cell state transition and predicts class-switch recombination dynamics using single-cell transcriptomic data (Ng et al.)

description: This repository contains data files from the manuscript Ng et al. "sciCSR infers B cell state transition and predicts class-switch recombination dynamics using single-cell transcriptomic data". <strong>Directories</strong> Please untar the sciCSR-data-files.tar.gz archive. <em><strong>Folder "Simulated_data"</strong></em> 'simulated_IGHC_reads' folder: containing list of simulated data (FASTQ sequence files and aligned BAM files) to test the accuracy of commonly used RNA-seq aligners (STAR, HISAT2) to distinguish sterile and productive heavy-chain transcripts. The code to generate these data is in the repository https://github.com/Fraternalilab/sciCSR-analysis. 'simulated_transitions.RData': .RData file containing list of Seurat objects of simulated datasets of different number of cells, to test the robustness of sciCSR-inferred transitions across different dataset sizes. <em><strong>Folder "Seurat_objects"</strong></em> 'human_Bcells_atlas_IGHC_NMF_rank.rds': Nonnegative matrix factorization (NMF) results to derive isotype signatures from the human B cell atlas (see below). 'mouse_Bcells_atlas_IGHC_NMF_rank.rds': NMF results to derive isotype signatures from the mouse B cell atlas (see below) 'Human_Bcells_atlas_IGHC.rds': Seurat object containing cells forming the 'human B cell atlas' (i.e. merging data from Stewart et al (https://doi.org/10.3389/fimmu.2021.602539) and King et al (https://doi.org/10.1101/2020.04.28.054775)) 'mouse_Bcells_atlas_IGHC.rds': Seurat object containing cells forming the 'mouse B cell atlas' (i.e. merging data from Mathew et al (https://doi.org/10.1016/j.celrep.2021.109286) and Luo et al (https://doi.org/10.1186/s13578-022-00795-6)) 'Stewart_HumanPeripheral_Bcells_IGHC.rds': Seurat object containing cells from the Stewart et al (https://doi.org/10.3389/fimmu.2021.602539) peripheral blood B cell atlas. * 'King_HumanTonsil_Bcells_IGHC.rds': Seurat object containing cells from the King et al. (https://doi.org/10.1101/2020.04.28.054775) human tonsilar B cell atlas. 'Kim_Covid_Bcells_IGHC.rds': Seurat object containing cells from the Kim et al. (https://doi.org/10.1038/s41586-022-04527-1) time-course scRNA-seq data on human B cell response to SARS-CoV-2 vaccine. 'Gomez_AID_VDJ_IGHC.rds': Seurat object containing cells from the Gómez-Escolar et al. (https://doi.org/10.15252/embr.202255000) Aicda mouse knockout scRNA-seq data. 'Hong_IL23_Bcells_IGHC.rds': Seurat object containing cells from the Hong et al. (https://doi.org/10.4049/jimmunol.2000280) Il23 p19 mouse knockout scRNA-seq data. 'scIFNg.rds': Seurat object containing scRNA-seq data of time-course in vitro culture of B cells stimulated with interferon gamma generated in this work.
description: {"references": ["Ng, JCF et al. sciCSR infers B cell state transition and predicts class-switch recombination dynamics using single-cell transcriptomic data. bioRxiv 2023.02.02.526789"]}
DOI: 10.5281/zenodo.8005705
title: Supplementary datasets: sciCSR infers B cell state transition and predicts class-switch recombination dynamics using single-cell transcriptomic data (Ng et al.)

description: This repository contains data files from the manuscript Ng et al. "sciCSR infers B cell state transition and predicts class-switch recombination dynamics using single-cell transcriptomic data". <strong>Directories</strong> Please untar the sciCSR-data-files.tar.gz archive. <em><strong>Folder "Simulated_data"</strong></em> 'simulated_IGHC_reads' folder: containing list of simulated data (FASTQ sequence files and aligned BAM files) to test the accuracy of commonly used RNA-seq aligners (STAR, HISAT2) to distinguish sterile and productive heavy-chain transcripts. The code to generate these data is in the repository https://github.com/Fraternalilab/sciCSR-analysis. 'simulated_transitions.RData': .RData file containing list of Seurat objects of simulated datasets of different number of cells, to test the robustness of sciCSR-inferred transitions across different dataset sizes. <em><strong>Folder "Seurat_objects"</strong></em> 'human_Bcells_atlas_IGHC_NMF_rank.rds': Nonnegative matrix factorization (NMF) results to derive isotype signatures from the human B cell atlas (see below). 'mouse_Bcells_atlas_IGHC_NMF_rank.rds': NMF results to derive isotype signatures from the mouse B cell atlas (see below) 'Human_Bcells_atlas_IGHC.rds': Seurat object containing cells forming the 'human B cell atlas' (i.e. merging data from Stewart et al (https://doi.org/10.3389/fimmu.2021.602539) and King et al (https://doi.org/10.1101/2020.04.28.054775)) 'mouse_Bcells_atlas_IGHC.rds': Seurat object containing cells forming the 'mouse B cell atlas' (i.e. merging data from Mathew et al (https://doi.org/10.1016/j.celrep.2021.109286) and Luo et al (https://doi.org/10.1186/s13578-022-00795-6)) 'Stewart_HumanPeripheral_Bcells_IGHC.rds': Seurat object containing cells from the Stewart et al (https://doi.org/10.3389/fimmu.2021.602539) peripheral blood B cell atlas. * 'King_HumanTonsil_Bcells_IGHC.rds': Seurat object containing cells from the King et al. (https://doi.org/10.1101/2020.04.28.054775) human tonsilar B cell atlas. 'Kim_Covid_Bcells_IGHC.rds': Seurat object containing cells from the Kim et al. (https://doi.org/10.1038/s41586-022-04527-1) time-course scRNA-seq data on human B cell response to SARS-CoV-2 vaccine. 'Gomez_AID_VDJ_IGHC.rds': Seurat object containing cells from the Gómez-Escolar et al. (https://doi.org/10.15252/embr.202255000) Aicda mouse knockout scRNA-seq data. 'Hong_IL23_Bcells_IGHC.rds': Seurat object containing cells from the Hong et al. (https://doi.org/10.4049/jimmunol.2000280) Il23 p19 mouse knockout scRNA-seq data. 'scIFNg.rds': Seurat object containing scRNA-seq data of time-course in vitro culture of B cells stimulated with interferon gamma generated in this work.
description: {"references": ["Ng, JCF et al. sciCSR infers B cell state transition and predicts class-switch recombination dynamics using single-cell transcriptomic data. bioRxiv 2023.02.02.526789"]}
DOI: 10.5281/zenodo.7906178
title: Personalized aerosolised bacteriophage treatment of a chronic lung infection due to multidrug-resistant Pseudomonas aeruginosa

description: Bacteriophage therapy has been suggested as an alternative or complementary strategy for the treatment of multidrug resistant (MDR) bacterial infections. Here, we report the favourable clinical evolution of a 41-year-old male patient with a Kartagener syndrome complicated by a life-threatening MDR <em>Pseudomonas aeruginosa </em>infection, who was treated successfully with iterative aerosolized phage treatments specifically directed against the patient’s isolate. We followed the longitudinal evolution of both phage and bacterial loads during and after phage administration in respiratory samples. Phage titres in consecutive sputum samples showed <em>in patient</em> phage replication. Phenotypic analysis and whole genome sequencing of sequential bacterial isolates revealed a clonal, but phenotypically diverse population of hypermutator strains. The MDR phenotype in the collected isolates was multifactorial and mainly due to spontaneous chromosomal mutations. All isolates recovered after phage treatment remained phage susceptible. These results demonstrate that clinically significant improvement is achievable by personalised phage therapy even in the absence of complete eradication of <em>P. aeruginosa</em> lung colonization.
DOI: 10.5519/qd.9n0249yn
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (272 records)
DOI: 10.5281/zenodo.8005659
title: Flux measurements at the CNRS big solar furnace in Odeillo with heliostat scan (L2 data)

description: <strong>Flux measurements at the big solar furnace in Odeillo.</strong> Data levels description: Level 0 data: raw datasets from the different acquisition systems (cameras, radiometers, motion controllers…). Level 1 data: area of interest extracted from flux camera images and converted as HDF file (grayscale). <strong>=&gt; Level 2 data: All data synchronised, converted and supersampled at millisecond resolution in HDF files: DNI, radiometer, heliostat aiming location from ARGOS camera, image maps at focal plane on the receiver in suns normalised for DNI 1000 W/m2.</strong> Level 3 data: data interpolated and smoothed for regular heliostat aiming positions. Level 4 data: idem, but spatially subsampled at various resolutions. One HDF file per heliostat. Heliostats chosen randomly among the 26 available. HDF file are compressed in zstandard. In python 3, requires the packages: pandas, hdf5plugin, tables, h5py, blosc, zstd. For each heliostat : the aiming position of the heliostats was moved in S patterns. Data from experiment started 2021-12-22 120618Z. <strong>References:</strong> Related to SolarPaces 2022 communication: <strong>Building a 5D Database of Heliostats Flux Distributions: toward High Flexibility High Accuracy Flux Control for Odeillo's Big Solar Furnace </strong> Solar furnace description and more: https://doi.org/10.1063/1.5067052 Cameras settings description and more: https://doi.org/10.1063/1.5067202
DOI: 10.5281/zenodo.8005658
title: Flux measurements at the CNRS big solar furnace in Odeillo with heliostat scan (L2 data)

description: <strong>Flux measurements at the big solar furnace in Odeillo.</strong> Data levels description: Level 0 data: raw datasets from the different acquisition systems (cameras, radiometers, motion controllers…). Level 1 data: area of interest extracted from flux camera images and converted as HDF file (grayscale). <strong>=&gt; Level 2 data: All data synchronised, converted and supersampled at millisecond resolution in HDF files: DNI, radiometer, heliostat aiming location from ARGOS camera, image maps at focal plane on the receiver in suns normalised for DNI 1000 W/m2.</strong> Level 3 data: data interpolated and smoothed for regular heliostat aiming positions. Level 4 data: idem, but spatially subsampled at various resolutions. One HDF file per heliostat. Heliostats chosen randomly among the 26 available. HDF file are compressed in zstandard. In python 3, requires the packages: pandas, hdf5plugin, tables, h5py, blosc, zstd. For each heliostat : the aiming position of the heliostats was moved in S patterns. Data from experiment started 2021-12-22 120618Z. <strong>References:</strong> Related to SolarPaces 2022 communication: <strong>Building a 5D Database of Heliostats Flux Distributions: toward High Flexibility High Accuracy Flux Control for Odeillo's Big Solar Furnace </strong> Solar furnace description and more: https://doi.org/10.1063/1.5067052 Cameras settings description and more: https://doi.org/10.1063/1.5067202
DOI: 10.5281/zenodo.8005315
title: Personalized aerosolised bacteriophage treatment of a chronic lung infection due to multidrug-resistant Pseudomonas aeruginosa

description: Bacteriophage therapy has been suggested as an alternative or complementary strategy for the treatment of multidrug resistant (MDR) bacterial infections. Here, we report the favourable clinical evolution of a 41-year-old male patient with a Kartagener syndrome complicated by a life-threatening MDR <em>Pseudomonas aeruginosa </em>infection, who was treated successfully with iterative aerosolized phage treatments specifically directed against the patient’s isolate. We followed the longitudinal evolution of both phage and bacterial loads during and after phage administration in respiratory samples. Phage titres in consecutive sputum samples showed <em>in patient</em> phage replication. Phenotypic analysis and whole genome sequencing of sequential bacterial isolates revealed a clonal, but phenotypically diverse population of hypermutator strains. The MDR phenotype in the collected isolates was multifactorial and mainly due to spontaneous chromosomal mutations. All isolates recovered after phage treatment remained phage susceptible. These results demonstrate that clinically significant improvement is achievable by personalised phage therapy even in the absence of complete eradication of <em>P. aeruginosa</em> lung colonization.
DOI: 10.5281/zenodo.7906177
title: Personalized aerosolised bacteriophage treatment of a chronic lung infection due to multidrug-resistant Pseudomonas aeruginosa

description: Bacteriophage therapy has been suggested as an alternative or complementary strategy for the treatment of multidrug resistant (MDR) bacterial infections. Here, we report the favourable clinical evolution of a 41-year-old male patient with a Kartagener syndrome complicated by a life-threatening MDR <em>Pseudomonas aeruginosa </em>infection, who was treated successfully with iterative aerosolized phage treatments specifically directed against the patient’s isolate. We followed the longitudinal evolution of both phage and bacterial loads during and after phage administration in respiratory samples. Phage titres in consecutive sputum samples showed <em>in patient</em> phage replication. Phenotypic analysis and whole genome sequencing of sequential bacterial isolates revealed a clonal, but phenotypically diverse population of hypermutator strains. The MDR phenotype in the collected isolates was multifactorial and mainly due to spontaneous chromosomal mutations. All isolates recovered after phage treatment remained phage susceptible. These results demonstrate that clinically significant improvement is achievable by personalised phage therapy even in the absence of complete eradication of <em>P. aeruginosa</em> lung colonization.
DOI: 10.5281/zenodo.8005752
title: Flux measurements at the CNRS big solar furnace in Odeillo with heliostat scan (L4 data)

description: <strong>Flux measurements at the big solar furnace in Odeillo.</strong> Data levels description: Level 0 data: raw datasets from the different acquisition systems (cameras, radiometers, motion controllers…). Level 1 data: area of interest extracted from flux camera images and converted as HDF file (grayscale). Level 2 data: All data synchronised, converted and supersampled at millisecond resolution in HDF files: DNI, radiometer, heliostat aiming location from ARGOS camera, image maps at focal plane on the receiver in suns normalised for DNI 1000 W/m2. Level 3 data: data interpolated and smoothed for regular heliostat aiming positions. <strong>=&gt; Level 4 data: idem, but spatially subsampled at various resolutions. Provided here: 10mm resolution.</strong> One HDF file per heliostat. Heliostats chosen randomly among the 26 available. HDF file are compressed in zstandard. In python 3, requires the packages: pandas, hdf5plugin, tables, h5py, blosc, zstd. For each heliostat : the aiming position of the heliostats was moved in S patterns. Data from experiment started 2021-12-22 120618 GMT. Data processing completed 2022-03-02 1459 GMT. <strong>References:</strong> Related to SolarPaces 2022 communication: <strong>Building a 5D Database of Heliostats Flux Distributions: toward High Flexibility High Accuracy Flux Control for Odeillo's Big Solar Furnace </strong> Solar furnace description and more: https://doi.org/10.1063/1.5067052 Cameras settings description and more: https://doi.org/10.1063/1.5067202
DOI: 10.5281/zenodo.8005751
title: Flux measurements at the CNRS big solar furnace in Odeillo with heliostat scan (L4 data)

description: <strong>Flux measurements at the big solar furnace in Odeillo.</strong> Data levels description: Level 0 data: raw datasets from the different acquisition systems (cameras, radiometers, motion controllers…). Level 1 data: area of interest extracted from flux camera images and converted as HDF file (grayscale). Level 2 data: All data synchronised, converted and supersampled at millisecond resolution in HDF files: DNI, radiometer, heliostat aiming location from ARGOS camera, image maps at focal plane on the receiver in suns normalised for DNI 1000 W/m2. Level 3 data: data interpolated and smoothed for regular heliostat aiming positions. <strong>=&gt; Level 4 data: idem, but spatially subsampled at various resolutions. Provided here: 10mm resolution.</strong> One HDF file per heliostat. Heliostats chosen randomly among the 26 available. HDF file are compressed in zstandard. In python 3, requires the packages: pandas, hdf5plugin, tables, h5py, blosc, zstd. For each heliostat : the aiming position of the heliostats was moved in S patterns. Data from experiment started 2021-12-22 120618 GMT. Data processing completed 2022-03-02 1459 GMT. <strong>References:</strong> Related to SolarPaces 2022 communication: <strong>Building a 5D Database of Heliostats Flux Distributions: toward High Flexibility High Accuracy Flux Control for Odeillo's Big Solar Furnace </strong> Solar furnace description and more: https://doi.org/10.1063/1.5067052 Cameras settings description and more: https://doi.org/10.1063/1.5067202
DOI: 10.17026/dans-23h-zj6h
title: Getuigen Verhalen, Vluchten uit Overloon op last van de bezetter, interview 09

description: Rondom de slag om Overloon kwam een vluchtelingenstroom op gang. Onderhavig interview reflecteert op de periode dat inwoners uit Overloon e.o. hiermee werden geconfronteerd.
DOI: 10.17026/dans-zw6-v3yx
title: In het licht van de bevrijding, interview 06

description: 'In het licht van de bevrijding' is een achtdelige serie door Charles van den Berg waarin hij praat met acht personen uit Venlo die persoonlijk de Tweede Wereldoorlog hebben meegemaakt. In 2005 is, in het kader van de 60ste herdenking van de bevrijding van Venlo, de serie uitgezonden door Omroep Venlo in het radioprogramma Venlo Plus.In dit zesde deel van de uitzending spreekt Charles van den Berg met Friedje Geurts-Leeder. Zij is geboren in 1922 te Venlo. Zij werkte bij de Radiocentrale in de Nieuwstraat. In oktober 1944 fietste zij naar Sevenum om haar voormalige buurman uit Venlo-Oost te berichten hoe het met zijn zoontje ging wat in het ziekenhuis lag. Hiervoor moest ze de Maasbrug over. Dit kon niet zonder goede reden. Ze probeerde met een smoes de Duitser die haar tegenhield te overtuigen dat ze de brug over moest. Ze moest zich melden bij de Orts Kommandant om het probleem voor te leggen. Ze kreeg een nieuwe pas waarmee ze wel toestemming kreeg om over de brug te gaan.Terug naar huis strandde ze in Blerick, de brug werd gebombardeerd. Op weg naar huis hield ze haar adem in toen zij de rouwende menigte zag na het bombardement van de Picardie en Nassaustraat. Later werkte ze als secretaresse van de Werfleider. Er was anders geen werk voor haar, hier werkten zelfs meerdere mensen uit Venlo. De Hongerwinter herinnert ze zich nog sterk. Op het laatst werd het heel moeilijk, er was heel weinig eten te krijgen. Ze is al die tijd in Venlo gebleven.
DOI: 10.17026/dans-2zw-gxx3
title: Getuigen Verhalen, Vluchten uit Venray op aandrang van Brits Gezag, interview 05

description: Rondom de slag om Overloon kwam een vluchtelingenstroom op gang. Onderhavig interview reflecteert op de periode dat inwoners uit Venray e.o. hiermee werden geconfronteerd.