cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/j5mcd4
title: A new species of Copionodon representing a relictual occurrence of the Copionodontinae (Siluriformes: Trichomycteridae), with a CT-scan imaging survey of key subfamilial features

description: This dataset contains the digitized treatments in Plazi based on the original journal article Pinna, Mario de, Abrahão, Vitor, Reis, Vinicius, Zanata, Angela (2018): A new species of Copionodon representing a relictual occurrence of the Copionodontinae (Siluriformes: Trichomycteridae), with a CT-scan imaging survey of key subfamilial features. Neotropical Ichthyology 16 (4): 1-12, DOI: 10.1590/1982-0224-20180049
DOI: 10.5281/zenodo.3709616
title: Data for "A Dataset for Multi-lingual Epidemiological Event Extraction"

description: This is the data for the LREC 2020 paper "A Dataset for Multi-lingual Epidemiological Event Extraction". If you use this resource, please cite the paper: <pre><code>@inproceedings{mutuvi2020dataset, title = "A Dataset for Multi-lingual Epidemiological Event Extraction", author = {Mutuvi, Stephen and Doucet, Antoine, and Lejeune, Gaël and Odeo, Moses}, booktitle = "Proceedings of the Eighth International Conference on Language Resources and Evaluation ({LREC}'20)", year = "2020", location = "Marseille" }</code></pre> This work has been supported by the European Union Horizon 2020 research and innovation programme under grants 825153 (Embeddia) and 770299 (NewsEye).
DOI: 10.5281/zenodo.3709617
title: Data for "A Dataset for Multi-lingual Epidemiological Event Extraction"

description: This is the data for the LREC 2020 paper "A Dataset for Multi-lingual Epidemiological Event Extraction". If you use this resource, please cite the paper: <pre><code>@inproceedings{mutuvi2020dataset, title = "A Dataset for Multi-lingual Epidemiological Event Extraction", author = {Mutuvi, Stephen and Doucet, Antoine, and Lejeune, Gaël and Odeo, Moses}, booktitle = "Proceedings of the Eighth International Conference on Language Resources and Evaluation ({LREC}'20)", year = "2020", location = "Marseille" }</code></pre> This work has been supported by the European Union Horizon 2020 research and innovation programme under grants 825153 (Embeddia) and 770299 (NewsEye).
DOI: 10.5281/zenodo.3709901
title: Chameleon KVM cloud traces (2017-08-02)

description: This cloud trace contains Nova compute events for the OpenStack KVM cloud on the Chameleon testbed since it was built in 2015. Several text fields have been anonymized to hide user information. This trace contains data from 2015-09-06T23:31:16.000Z until 2017-06-14T21:34:50.000Z. It follows version 0.1 of the cloud trace format. You can find more information and trace datasets at Science Clouds.
description: Please contact the data owner for using this data for any research purpose prior to release and acknowledge the source of the data in any published material based on it.
description: {"references": ["Keahey, Kate, et al. \"Chameleon: a scalable production testbed for computer science research.\" Contemporary High Performance Computing. CRC Press, 2019. 123-148."]}
DOI: 10.5281/zenodo.3709827
title: Dataset related to article "Can thoracic nodes oligometastases be safely treated with image guided hypofractionated radiation therapy?"

description: OBJECTIVE: To evaluate safety and efficacy of image guided-hypofractionated radiation therapy (IG-HRT) in patients with thoracic nodes oligometastases. METHODS: The present study is a multicenter analysis. Oligometastatic patients, affected by a maximum of five active lesions in three or less different organs, treated with IG-HRT to thoracic nodes metastases between 2012 and 2017 were included in the analysis. Primary end point was local control (LC), secondary end points were overall survival (OS), progression-free survival, acute and late toxicity. Univariate and multivariate analysis were performed to identify possible prognostic factors for the survival end points. RESULTS: 76 patients were included in the analysis. Different RT dose and fractionation schedules were prescribed according to site, number, size of the lymph node(s) and to respect dose constraints for relevant organs at risk. Median biologically effective dose delivered was 75 Gy (interquartile range: 59-86 Gy). Treatment was optimal; one G1 acute toxicity and seven G1 late toxicities of any grade were recorded. Median follow-up time was 23.16 months. 16 patients (21.05%) had a local progression, while 52 patients progressed in distant sites (68.42 %).Median local relapse free survival was not reached, LC at 6, 12 and 24 months was 96.05% [confidence interval (CI) 88.26<em>-</em>98.71%], 86.68% (CI 75.86<em>-</em>92.87) and 68.21% (CI 51.89<em>-</em>80.00%), respectively. Median OS was 28.3 months (interquartile range 16.1<em>-</em>47.2). Median progression-freesurvival was 9.2 months (interquartile range 4.1<em>-</em>17.93).At multivariate analysis, RT dose, colorectal histology, systemic therapies were correlated with LC. Performance status and the presence of metastatic sites other than the thoracic nodes were correlated with OS. Local response was a predictor of OS. CONCLUSION: IG-HRT for thoracic nodes was safe and feasible. Higher RT doses were correlated to better LC and should be taken in consideration at least in patients with isolated nodal metastases and colorectal histology. ADVANCES IN KNOWLEDGE: Radiotherapy is safe and effective treatment for thoracic nodes metastases, higher radiotherapy doses are correlated to better LC. Oligometastatic patients can receive IG-HRT also for thoracic nodes metastases.
DOI: 10.5281/zenodo.3709828
title: Dataset related to article "Can thoracic nodes oligometastases be safely treated with image guided hypofractionated radiation therapy?"

description: OBJECTIVE: To evaluate safety and efficacy of image guided-hypofractionated radiation therapy (IG-HRT) in patients with thoracic nodes oligometastases. METHODS: The present study is a multicenter analysis. Oligometastatic patients, affected by a maximum of five active lesions in three or less different organs, treated with IG-HRT to thoracic nodes metastases between 2012 and 2017 were included in the analysis. Primary end point was local control (LC), secondary end points were overall survival (OS), progression-free survival, acute and late toxicity. Univariate and multivariate analysis were performed to identify possible prognostic factors for the survival end points. RESULTS: 76 patients were included in the analysis. Different RT dose and fractionation schedules were prescribed according to site, number, size of the lymph node(s) and to respect dose constraints for relevant organs at risk. Median biologically effective dose delivered was 75 Gy (interquartile range: 59-86 Gy). Treatment was optimal; one G1 acute toxicity and seven G1 late toxicities of any grade were recorded. Median follow-up time was 23.16 months. 16 patients (21.05%) had a local progression, while 52 patients progressed in distant sites (68.42 %).Median local relapse free survival was not reached, LC at 6, 12 and 24 months was 96.05% [confidence interval (CI) 88.26<em>-</em>98.71%], 86.68% (CI 75.86<em>-</em>92.87) and 68.21% (CI 51.89<em>-</em>80.00%), respectively. Median OS was 28.3 months (interquartile range 16.1<em>-</em>47.2). Median progression-freesurvival was 9.2 months (interquartile range 4.1<em>-</em>17.93).At multivariate analysis, RT dose, colorectal histology, systemic therapies were correlated with LC. Performance status and the presence of metastatic sites other than the thoracic nodes were correlated with OS. Local response was a predictor of OS. CONCLUSION: IG-HRT for thoracic nodes was safe and feasible. Higher RT doses were correlated to better LC and should be taken in consideration at least in patients with isolated nodal metastases and colorectal histology. ADVANCES IN KNOWLEDGE: Radiotherapy is safe and effective treatment for thoracic nodes metastases, higher radiotherapy doses are correlated to better LC. Oligometastatic patients can receive IG-HRT also for thoracic nodes metastases.
DOI: 10.3886/e118223
title: Settlement Location Shapes the Integration of Forced Migrants: Evidence from Post-war Germany

description: Following one of the largest displacements in human history, almost eight million forced migrants arrived in West Germany after WWII. We study empirically how the settlement location of migrants affected their economic, social and political integration in West Germany. We first document large differences in integration outcomes across West German counties. We then show that high inflows of migrants and a large agrarian base hampered integration. Religious differences between migrants and natives had no effect on economic integration. Yet, they decreased intermarriage rates and strengthened anti-migrant parties. Based on our estimates, we simulate the regional distribution of migrants that maximizes their labor force participation. Intra-German migration in the 1950s brought the actual distribution closer to its optimum.
DOI: 10.3886/e118223v1
title: Settlement Location Shapes the Integration of Forced Migrants: Evidence from Post-war Germany

description: Following one of the largest displacements in human history, almost eight million forced migrants arrived in West Germany after WWII. We study empirically how the settlement location of migrants affected their economic, social and political integration in West Germany. We first document large differences in integration outcomes across West German counties. We then show that high inflows of migrants and a large agrarian base hampered integration. Religious differences between migrants and natives had no effect on economic integration. Yet, they decreased intermarriage rates and strengthened anti-migrant parties. Based on our estimates, we simulate the regional distribution of migrants that maximizes their labor force participation. Intra-German migration in the 1950s brought the actual distribution closer to its optimum.
DOI: 10.5281/zenodo.3709918
title: Chameleon KVM cloud traces (2018-11-06)

description: This cloud trace contains Nova compute events for the OpenStack KVM cloud on the Chameleon testbed since it was built in 2015. Several text fields have been anonymized to hide user information. This trace contains data from 2015-09-06T23:31:16.000Z until 2018-11-06T20:30:46.000Z. It follows version 0.1 of the cloud trace format. You can find more information and trace datasets at Science Clouds.
description: Please contact the data owner for using this data for any research purpose prior to release and acknowledge the source of the data in any published material based on it.
description: {"references": ["Keahey, Kate, et al. \"Chameleon: a scalable production testbed for computer science research.\" Contemporary High Performance Computing. CRC Press, 2019. 123-148."]}
DOI: 10.15468/jcslfl
title: A new mouth brooder species of Gymnogeophagus with hypertrophied lips (Cichliformes: Cichlidae)

description: This dataset contains the digitized treatments in Plazi based on the original journal article Turcati, Andréia, Serra-Alanis, Wilson Sebastián, Malabarba, Luiz R. (2018): A new mouth brooder species of Gymnogeophagus with hypertrophied lips (Cichliformes: Cichlidae). Neotropical Ichthyology 16 (4): 1-9, DOI: 10.1590/1982-0224-20180118
DOI: 10.5281/zenodo.3709945
title: Chameleon KVM cloud traces (2018-12-17)

description: This cloud trace contains Nova compute events for the OpenStack KVM cloud on the Chameleon testbed since it was built in 2015. Several text fields have been anonymized to hide user information. This trace contains data from 2015-09-17T15:37:05.000Z until 2018-12-17T15:56:16.000Z. The epoch time for timestamps is 2015-09-17T00:00:00. It follows version 0.2 of the cloud trace format. You can find more information and trace datasets at Science Clouds.
description: Please contact the data owner for using this data for any research purpose prior to release and acknowledge the source of the data in any published material based on it.
description: {"references": ["Keahey, Kate, et al. \"Chameleon: a scalable production testbed for computer science research.\" Contemporary High Performance Computing. CRC Press, 2019. 123-148."]}
DOI: 10.5281/zenodo.3710188
title: Data set to ''Volcano growth versus deformation by strike-slip faults: morphometric characterization through analogue modelling'

description: This data set is the supplementary material to Grosse et al. (2020) 'Volcano growth versus deformation by strike-slip faults: morphometric characterization through analogue modelling', published in Tectonophysics (https://doi.org/10.1016/j.tecto.2020.228411). The data set consists of (1) 249 digital elevation models (DEMs) of each step of the the analogue experiments carried out, in standard ENVI format, zipped; and (2) an Excel file containing the DEM-derived morphometric parameters for each of the analogue models. Experiments were carried out at the analogue modelling lab of the Department of Geography at the Vrije Universiteit Brussel (Belgium). A granular mixture of fine-grained quartz sand and kaolin clay was used as analogue material. Experiments were conducted on a fixed table, on which a basal layer of granular material was placed. A basal plate attached to a step-motor was used to simulate pure strike-slip displacements of the basal layer. Volcano growth was simulated by depositing loads of granular material on top of the basal layer from a point source. The analogue models were photographed at regular time intervals during the experiments using four digital cameras. The photographs were used to generate synthetic digital elevation models (DEMs) with 0.2 mm spatial resolution of each step of the analogue models by applying the MICMAC digital stereo-photogrammetry software. The ENVI software was used to re-sample the DEMs to a 0.5 mm spatial resolution and apply the noise-reduction Lee filter. Morphometric data were then extracted from the DEMs by applying two IDL-language algorithms: NETVOLC, used to automatically calculate the volcano edifice basal outline, and MORVOLC, used to extract a set of morphometric parameters.
DOI: 10.5281/zenodo.3710187
title: Data set to ''Volcano growth versus deformation by strike-slip faults: morphometric characterization through analogue modelling'

description: This data set is the supplementary material to Grosse et al. (2020) 'Volcano growth versus deformation by strike-slip faults: morphometric characterization through analogue modelling', published in Tectonophysics (https://doi.org/10.1016/j.tecto.2020.228411). The data set consists of (1) 249 digital elevation models (DEMs) of each step of the the analogue experiments carried out, in standard ENVI format, zipped; and (2) an Excel file containing the DEM-derived morphometric parameters for each of the analogue models. Experiments were carried out at the analogue modelling lab of the Department of Geography at the Vrije Universiteit Brussel (Belgium). A granular mixture of fine-grained quartz sand and kaolin clay was used as analogue material. Experiments were conducted on a fixed table, on which a basal layer of granular material was placed. A basal plate attached to a step-motor was used to simulate pure strike-slip displacements of the basal layer. Volcano growth was simulated by depositing loads of granular material on top of the basal layer from a point source. The analogue models were photographed at regular time intervals during the experiments using four digital cameras. The photographs were used to generate synthetic digital elevation models (DEMs) with 0.2 mm spatial resolution of each step of the analogue models by applying the MICMAC digital stereo-photogrammetry software. The ENVI software was used to re-sample the DEMs to a 0.5 mm spatial resolution and apply the noise-reduction Lee filter. Morphometric data were then extracted from the DEMs by applying two IDL-language algorithms: NETVOLC, used to automatically calculate the volcano edifice basal outline, and MORVOLC, used to extract a set of morphometric parameters.
DOI: 10.5281/zenodo.3709958
title: Chameleon KVM cloud traces (2019-11-01)

description: This cloud trace contains Nova compute events for the OpenStack KVM cloud on the Chameleon testbed since it was built in 2015. Several text fields have been anonymized to hide user information. This trace contains data from 2015-09-17T15:37:05.000Z until 2019-10-31T17:50:59.000Z. The epoch time for timestamps is 2015-09-06T00:00:00. It follows version 0.3 of the cloud trace format. You can find more information and trace datasets at Science Clouds.
description: Please contact the data owner for using this data for any research purpose prior to release and acknowledge the source of the data in any published material based on it.
description: {"references": ["Keahey, Kate, et al. \"Chameleon: a scalable production testbed for computer science research.\" Contemporary High Performance Computing. CRC Press, 2019. 123-148."]}
DOI: 10.5281/zenodo.3710321
title: Dataset related to article "Recurrence pattern of stereotactic body radiotherapy in oligometastatic prostate cancer: a multi-institutional analysis."

description: PURPOSE: For patients with oligometastatic/oligorecurrent/oligoprogressive lymph node metastases from PCa, metastases-directed therapy is an emerging strategy. The aim of this retrospective study was to evaluate the oncological outcome and pattern of recurrence in patients treated with stereotactic body radiation therapy (SBRT) to lymph node metastases. METHODS: In this multi-institutional analysis, patients with a maximum of five lymph node metastases from PCa treated with SBRT were included. Primary endpoints of the analysis were local control (LC), out-of-field nodal progression-free survival (NPFS), overall progression-free survival (PFS), and overall survival (OS). RESULTS: 109 patients and 155 lymph node metastases were evaluated. Patients' median age was 70.8 years (range 51-84) and median PSA before SBRT was 1.88 ng/ml (range 0.3-45.5 ng/ml). The dose delivered to the target ranged from 25 to 48 Gy in 4-7 fractions; median BED<sub>1.5</sub> <sub>Gy</sub> was 198 Gy (range 108.3-432 Gy). With a median follow-up of 16 months, LC rates at 1 and 3 years were 93% and 86%, respectively. In-field progression of disease was observed in 11 (7%) lesions. One- and 3‑year NPFS was 59% and 29%, and median NPFS was 15 months. Rates of OS at 1 and 3 years were 100% and 95%. The median time to administration of a systemic treatment after SBRT was 7.8 months (1.7-54.8). CONCLUSION: SBRT is an effective and well-tolerated treatment option in the management of lymph node metastases from PCa. Prospective trials are necessary to better select patients who benefit most from this ablative focal treatment and better define the recurrence patterns.
DOI: 10.5281/zenodo.3710322
title: Dataset related to article "Recurrence pattern of stereotactic body radiotherapy in oligometastatic prostate cancer: a multi-institutional analysis."

description: PURPOSE: For patients with oligometastatic/oligorecurrent/oligoprogressive lymph node metastases from PCa, metastases-directed therapy is an emerging strategy. The aim of this retrospective study was to evaluate the oncological outcome and pattern of recurrence in patients treated with stereotactic body radiation therapy (SBRT) to lymph node metastases. METHODS: In this multi-institutional analysis, patients with a maximum of five lymph node metastases from PCa treated with SBRT were included. Primary endpoints of the analysis were local control (LC), out-of-field nodal progression-free survival (NPFS), overall progression-free survival (PFS), and overall survival (OS). RESULTS: 109 patients and 155 lymph node metastases were evaluated. Patients' median age was 70.8 years (range 51-84) and median PSA before SBRT was 1.88 ng/ml (range 0.3-45.5 ng/ml). The dose delivered to the target ranged from 25 to 48 Gy in 4-7 fractions; median BED<sub>1.5</sub> <sub>Gy</sub> was 198 Gy (range 108.3-432 Gy). With a median follow-up of 16 months, LC rates at 1 and 3 years were 93% and 86%, respectively. In-field progression of disease was observed in 11 (7%) lesions. One- and 3‑year NPFS was 59% and 29%, and median NPFS was 15 months. Rates of OS at 1 and 3 years were 100% and 95%. The median time to administration of a systemic treatment after SBRT was 7.8 months (1.7-54.8). CONCLUSION: SBRT is an effective and well-tolerated treatment option in the management of lymph node metastases from PCa. Prospective trials are necessary to better select patients who benefit most from this ablative focal treatment and better define the recurrence patterns.
DOI: 10.5281/zenodo.3573993
title: MS data set: Identification of Microorganisms by Liquid Chromatography-Mass Spectrometry (LC-MS1) and in silico Peptide Mass Data

description: Data set consisting of raw LC-MS2 data, LC-MS1 peak data and a description For unreviewed publication preprint: <strong>Identification of Microorganisms by Liquid Chromatography-Mass Spectrometry (LC-MS<sup>1</sup>) and <em>in silico </em>Peptide Mass Data</strong> ABSTRACT Over the past decade, modern methods of mass spectrometry (MS) have emerged that allow reliable, fast and cost-effective identification of pathogenic microorganisms. While MALDI-TOF MS has already revolutionized the way microorganisms are identified, recent years have witnessed also substantial progress in the development of liquid chromatography (LC)-MS based proteomics for microbiological applications. For example, LC-tandem mass spectrometry (LC-MS<sup>2</sup>) has been proposed for microbial characterization by means of multiple discriminative peptides that enable identification at the species, or sometimes at the strain level. However, such investigations can be very time-consuming, especially if the experimental LC-MS<sup>2</sup> data are tested against sequence databases covering a broad panel of different microbiological taxa. In this proof of concept study, we present an alternative bottom-up proteomics method for microbial identification. The proposed approach involves efficient extraction of proteins from cultivated microbial cells, digestion by trypsin and LC-MS measurements. MS<sup>1</sup> data are then extracted and systematically tested against an in silico library of peptide mass data compiled in house. The library has been computed from the UniProt Knowledgebase Swiss-Prot and TrEMBL databases and comprises more than 12,000 strain-specific in silico profiles, each containing tens of thousands of peptide mass entries. Identification analysis involves computation of score values derived from spectral distances between experimental and in silico peptide mass data and compilation of score ranking lists. The taxonomic positions of the microbial samples are then determined by using the best-matching database entries. The suggested method is computationally efficient – less than two minutes per sample - and has been successfully tested by a set of 19 different microbial pathogens. The approach is rapid, accurate and automatable and holds great potential for future microbiological applications. <em>For details see the following preprint: Lasch, P. Schneider, A. Blumenscheit, C. and Doellinger, J. “Identification of Microorganisms by Liquid Chromatography-Mass Spectrometry (LC-MS1) and in silico Peptide Mass Data”. bioRxiv preprint, http://dx.doi.org/10.1101/870089</em>
description: License type for data base files (spectra): Creative Commons Attribution Non Commercial 4.0 International (CC-BY-NC): Licensees must credit the original authors by stating their names & the original work's title. Licensees may copy, distribute, display, and perform the work and make derivative works and remixes based on it only for non-commercial purposes.