cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15156/bio/sh1184820.09fu
title: SH1184820.09FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1184821.09fu
title: SH1184821.09FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.5281/zenodo.6419272
title: Occupations on the map: Using a super learner algorithm to downscale labor statistics, data

description: This repository contains all the input and output data (including maps) related to Van Dijk et al. (2022), Occupations on the map: Using a super learner algorithm to downscale labor statistics. It does not contain several large (&gt; 4GB) intermediate files, which summarize the results of the large number of machine learning models that were trained and tuned as part of the super learner algorithm. These files can be created by running the scripts in the supplementary GitHub repository: https://github.com/michielvandijk/occupations_on_the_map. All input and output maps produced as part of this study can also be accessed by means of an interactive web application: https://shiny.wur.nl/occupation-map-vnm. In this paper, we demonstrated an approach to create fine-scale gridded occupation maps by means of downscaling district-level labor statistics informed by remote sensing and other spatial information. We applied a super-learner algorithm that combined the results of different machine learning models to predict the shares of six major occupation categories and the labor force participation rate at a resolution of 30 arc seconds (~1x1 km) in Vietnam. The results were subsequently combined with gridded information on the working-age population to produce maps of the number of workers per occupation. The proposed approach can also be applied to produce maps of other (labor) statistics, which are only available at aggregated levels.
DOI: 10.5281/zenodo.7413693
title: Occupations on the map: Using a super learner algorithm to downscale labor statistics, data

description: This repository contains all the input and output data (including maps) related to Van Dijk et al. (2022), Occupations on the map: Using a super learner algorithm to downscale labor statistics. It does not contain several large (&gt; 4GB) intermediate files, which summarize the results of the large number of machine learning models that were trained and tuned as part of the super learner algorithm. These files can be created by running the scripts in the supplementary GitHub repository: https://github.com/michielvandijk/occupations_on_the_map. All input and output maps produced as part of this study can also be accessed by means of an interactive web application: https://shiny.wur.nl/occupation-map-vnm. In this paper, we demonstrated an approach to create fine-scale gridded occupation maps by means of downscaling district-level labor statistics informed by remote sensing and other spatial information. We applied a super-learner algorithm that combined the results of different machine learning models to predict the shares of six major occupation categories and the labor force participation rate at a resolution of 30 arc seconds (~1x1 km) in Vietnam. The results were subsequently combined with gridded information on the working-age population to produce maps of the number of workers per occupation. The proposed approach can also be applied to produce maps of other (labor) statistics, which are only available at aggregated levels.
DOI: 10.48366/r150337
title: Comparison of Scenario Factsheets from the Open Energy Platform

description: This comparison provides an overview of the current scenario factsheets available in the Open Energy Platform. These factsheets are a standardized collection and presentation of information about scenarios used in climate and energy system modelling. The factsheets are intended to summarize the key points of the respective scenarios concisely. In studies of climate and energy system modelling domain, models simulate these scenarios with different modified input data and assumptions to calculate and compare their simulation results.
DOI: 10.48420/21688895
title: Data for: Mantle source and melting processes beneath Iceland’s Flank and Rift Zones - Waters et al.

description: Supporting information and data for Waters et al. "Mantle source and melting processes beneath Iceland’s Flank and Rift Zones: Forward Modelling of Heterogeneous Mantle Melting"
DOI: 10.48420/21688895.v1
title: Data for: Mantle source and melting processes beneath Iceland’s Flank and Rift Zones - Waters et al.

description: Supporting information and data for Waters et al. "Mantle source and melting processes beneath Iceland’s Flank and Rift Zones: Forward Modelling of Heterogeneous Mantle Melting"
DOI: 10.5517/ccdc.csd.cc272xlv
title: CCDC 2058387: Experimental Crystal Structure Determination

description: Related Article: K. Ha|2021|IUCrData|6|x210084|doi:10.1107/S2414314621000845
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.cc2dlc8n
title: CCDC 2222181: Experimental Crystal Structure Determination

description: Related Article: Constantin G. Daniliuc, Doris Kunz, Roland Fröhlich, Gerhard Erker|2022|CSD Communication|||
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.cc2dlcbq
title: CCDC 2222183: Experimental Crystal Structure Determination

description: Related Article: Martin Nieger, Paul-Michael Windscheif, Fritz Vögtle|2022|CSD Communication|||
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.cc2dmb0d
title: CSD 2223103: Experimental Crystal Structure Determination

description: Related Article: H. McDougall, M. Hibberd, A. Tong, S. Neville, V. Peterson, C. Didier|2022|J.Appl.Crystallogr.|55|1572|doi:10.1107/S1600576722009888
description: An entry from the Inorganic Crystal Structure Database, the world’s repository for inorganic crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the joint CCDC and FIZ Karlsruhe Access Structures service and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2dmb5k
title: CSD 2223108: Experimental Crystal Structure Determination

description: Related Article: H. McDougall, M. Hibberd, A. Tong, S. Neville, V. Peterson, C. Didier|2022|J.Appl.Crystallogr.|55|1572|doi:10.1107/S1600576722009888
description: An entry from the Inorganic Crystal Structure Database, the world’s repository for inorganic crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the joint CCDC and FIZ Karlsruhe Access Structures service and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2dmbbq
title: CSD 2223113: Experimental Crystal Structure Determination

description: Related Article: H. McDougall, M. Hibberd, A. Tong, S. Neville, V. Peterson, C. Didier|2022|J.Appl.Crystallogr.|55|1572|doi:10.1107/S1600576722009888
description: An entry from the Inorganic Crystal Structure Database, the world’s repository for inorganic crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the joint CCDC and FIZ Karlsruhe Access Structures service and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2dmbgv
title: CSD 2223117: Experimental Crystal Structure Determination

description: Related Article: H. McDougall, M. Hibberd, A. Tong, S. Neville, V. Peterson, C. Didier|2022|J.Appl.Crystallogr.|55|1572|doi:10.1107/S1600576722009888
description: An entry from the Inorganic Crystal Structure Database, the world’s repository for inorganic crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the joint CCDC and FIZ Karlsruhe Access Structures service and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2dmbm0
title: CSD 2223122: Experimental Crystal Structure Determination

description: Related Article: H. McDougall, M. Hibberd, A. Tong, S. Neville, V. Peterson, C. Didier|2022|J.Appl.Crystallogr.|55|1572|doi:10.1107/S1600576722009888
description: An entry from the Inorganic Crystal Structure Database, the world’s repository for inorganic crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the joint CCDC and FIZ Karlsruhe Access Structures service and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2dmbs5
title: CSD 2223127: Experimental Crystal Structure Determination

description: Related Article: H. McDougall, M. Hibberd, A. Tong, S. Neville, V. Peterson, C. Didier|2022|J.Appl.Crystallogr.|55|1572|doi:10.1107/S1600576722009888
description: An entry from the Inorganic Crystal Structure Database, the world’s repository for inorganic crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the joint CCDC and FIZ Karlsruhe Access Structures service and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2dmbyb
title: CSD 2223132: Experimental Crystal Structure Determination

description: Related Article: H. McDougall, M. Hibberd, A. Tong, S. Neville, V. Peterson, C. Didier|2022|J.Appl.Crystallogr.|55|1572|doi:10.1107/S1600576722009888
description: An entry from the Inorganic Crystal Structure Database, the world’s repository for inorganic crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the joint CCDC and FIZ Karlsruhe Access Structures service and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2dmc3j
title: CSD 2223137: Experimental Crystal Structure Determination

description: Related Article: H. McDougall, M. Hibberd, A. Tong, S. Neville, V. Peterson, C. Didier|2022|J.Appl.Crystallogr.|55|1572|doi:10.1107/S1600576722009888
description: An entry from the Inorganic Crystal Structure Database, the world’s repository for inorganic crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the joint CCDC and FIZ Karlsruhe Access Structures service and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2dmc8p
title: CSD 2223142: Experimental Crystal Structure Determination

description: Related Article: H. McDougall, M. Hibberd, A. Tong, S. Neville, V. Peterson, C. Didier|2022|J.Appl.Crystallogr.|55|1572|doi:10.1107/S1600576722009888
description: An entry from the Inorganic Crystal Structure Database, the world’s repository for inorganic crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the joint CCDC and FIZ Karlsruhe Access Structures service and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5281/zenodo.7014500
title: Quartet of familiar males – 16p11.2 Del mouse strain – 2 WT + 2 Del/+ - M1

description: We monitored the individual and social behaviours of each quartet of mice over three days and nights in the Live Mouse Tracker system (LMT, plugin 931; de Chaumont et al. 2019 Nat. Biomed. Engin.). This system tracks individually mice living in a group over several days and nights and extracts automatically the number, total duration and mean duration of more than thirty behavioural events describing the posture of the mouse, the types of social contacts, the dynamic social approach and escapes and complex social groupings (see de Chaumont et al. 2019 Nat. Biomed. Engin.). In this system, the four mice (10-14 weeks of age; 2 WT mice and 2 Del/+ mice) from the same housing cage (housed together from weaning on) were left undisturbed for 71 hours in a large transparent Plexiglas cage (50 x 50 x 40 cm), with fresh bedding, a house (width: 100 mm, depth: 75 mm, height: 40 mm) in red Plexiglas, 6 dental cotton rolls as well as food and water ad libitum. Light/dark cycle and temperature conditions were similar to those of the housing room (12/12h light/dark, lights on at 07:00 AM, 100 lux when the lights were on). Each recording session started between 03:00 and 04:00 PM. At the end of the session, mice were placed back in their home cage and the LMT setup was cleaned with soap water and dried with paper towels. The upload includes the sqlite database from LMT (processed).
DOI: 10.5281/zenodo.7014499
title: Quartet of familiar males – 16p11.2 Del mouse strain – 2 WT + 2 Del/+ - M1

description: We monitored the individual and social behaviours of each quartet of mice over three days and nights in the Live Mouse Tracker system (LMT, plugin 931; de Chaumont et al. 2019 Nat. Biomed. Engin.). This system tracks individually mice living in a group over several days and nights and extracts automatically the number, total duration and mean duration of more than thirty behavioural events describing the posture of the mouse, the types of social contacts, the dynamic social approach and escapes and complex social groupings (see de Chaumont et al. 2019 Nat. Biomed. Engin.). In this system, the four mice (10-14 weeks of age; 2 WT mice and 2 Del/+ mice) from the same housing cage (housed together from weaning on) were left undisturbed for 71 hours in a large transparent Plexiglas cage (50 x 50 x 40 cm), with fresh bedding, a house (width: 100 mm, depth: 75 mm, height: 40 mm) in red Plexiglas, 6 dental cotton rolls as well as food and water ad libitum. Light/dark cycle and temperature conditions were similar to those of the housing room (12/12h light/dark, lights on at 07:00 AM, 100 lux when the lights were on). Each recording session started between 03:00 and 04:00 PM. At the end of the session, mice were placed back in their home cage and the LMT setup was cleaned with soap water and dried with paper towels. The upload includes the sqlite database from LMT (processed).
DOI: 10.5281/zenodo.7409391
title: Source data for "Benchmarking commonly used software suites and analysis workflows for DIA proteomics and phosphoproteomics"

description: Source data of "Benchmarking commonly used software suites and analysis workflows for DIA proteomics and phosphoproteomics". For reproduction of main and supplementary figures. MS raw files, spectral libraries, and MS data search results are stored in iProX with identifier IPX0004576001.
DOI: 10.5281/zenodo.7409390
title: Source data for "Benchmarking commonly used software suites and analysis workflows for DIA proteomics and phosphoproteomics"

description: Source data of "Benchmarking commonly used software suites and analysis workflows for DIA proteomics and phosphoproteomics". For reproduction of main and supplementary figures. MS raw files, spectral libraries, and MS data search results are stored in iProX with identifier IPX0004576001.
DOI: 10.5281/zenodo.7413572
title: Quartet of familiar males – 16p11.2 Del mouse strain – 2 WT + 2 Del/+ - M2

description: We monitored the individual and social behaviours of each quartet of mice over three days and nights in the Live Mouse Tracker system (LMT, plugin 931; de Chaumont et al. 2019 Nat. Biomed. Engin.). This system tracks individually mice living in a group over several days and nights and extracts automatically the number, total duration and mean duration of more than thirty behavioural events describing the posture of the mouse, the types of social contacts, the dynamic social approach and escapes and complex social groupings (see de Chaumont et al. 2019 Nat. Biomed. Engin.). In this system, the four mice (10-14 weeks of age; 2 WT mice and 2 Del/+ mice) from the same housing cage (housed together from weaning on) were left undisturbed for 71 hours in a large transparent Plexiglas cage (50 x 50 x 40 cm), with fresh bedding, a house (width: 100 mm, depth: 75 mm, height: 40 mm) in red Plexiglas, 6 dental cotton rolls as well as food and water ad libitum. Light/dark cycle and temperature conditions were similar to those of the housing room (12/12h light/dark, lights on at 07:00 AM, 100 lux when the lights were on). Each recording session started between 03:00 and 04:00 PM. At the end of the session, mice were placed back in their home cage and the LMT setup was cleaned with soap water and dried with paper towels. The upload includes the sqlite database from LMT (processed).
DOI: 10.5281/zenodo.7413571
title: Quartet of familiar males – 16p11.2 Del mouse strain – 2 WT + 2 Del/+ - M2

description: We monitored the individual and social behaviours of each quartet of mice over three days and nights in the Live Mouse Tracker system (LMT, plugin 931; de Chaumont et al. 2019 Nat. Biomed. Engin.). This system tracks individually mice living in a group over several days and nights and extracts automatically the number, total duration and mean duration of more than thirty behavioural events describing the posture of the mouse, the types of social contacts, the dynamic social approach and escapes and complex social groupings (see de Chaumont et al. 2019 Nat. Biomed. Engin.). In this system, the four mice (10-14 weeks of age; 2 WT mice and 2 Del/+ mice) from the same housing cage (housed together from weaning on) were left undisturbed for 71 hours in a large transparent Plexiglas cage (50 x 50 x 40 cm), with fresh bedding, a house (width: 100 mm, depth: 75 mm, height: 40 mm) in red Plexiglas, 6 dental cotton rolls as well as food and water ad libitum. Light/dark cycle and temperature conditions were similar to those of the housing room (12/12h light/dark, lights on at 07:00 AM, 100 lux when the lights were on). Each recording session started between 03:00 and 04:00 PM. At the end of the session, mice were placed back in their home cage and the LMT setup was cleaned with soap water and dried with paper towels. The upload includes the sqlite database from LMT (processed).
DOI: 10.5281/zenodo.6874129
title: COG-BCI database: A multi-session and multi-task EEG cognitive dataset for passive brain-computer interfaces

description: Brain-Computer Interfaces, and especially passive Brain-Computer Interfaces (pBCI), with their ability to estimate and detect mental states, are receiving increasing attention from both the scientific and the research and development communities. Many pBCIs aim to increase the safety of complex work environments such as in the aeronautical domain. Therefore, mental workload, vigilance and decision-making are some of the most commonly examined aspects of cognition within this field of research. A large proportion of pBCIs involve a component of machine learning and signal processing as the data that are collected need to be transformed into a reliable estimate of the users’ current mental state (e.g. mental workload). Improving this component is a major challenge for researchers, requiring large quantities of data. While data sharing is common for the active BCI community, open pBCI datasets are scarcer and generally incomplete with regards to the information they report. This is particularly true for datasets encompassing several tasks or sessions, which are of importance for tackling the challenges of transfer learning. Testing new pipelines, feature extraction algorithms and classifiers are central issues for future advances in research within this domain, as well as for algorithm benchmark and research reproducibility.The COG-BCI database presented here is comprised of the recordings of 29 participants over 3 individual sessions with 4 different tasks designed to elicit different cognitive states. This results in a total of over 100 hours of open electrophysiological (EEG) and electrocardiogram (ECG) data. The project was validated by the local ethical committee of the University of Toulouse (CER number 2021-342). The dataset was validated on a subjective, behavioral and physiological level (i.e. cardiac and cerebral activity), to ensure its usefulness to the pBCI community. This body of work represents a large effort to promote the use of pBCIs, as well as the use of open science. <strong>The data are in the Brain Imaging Data Structure (BIDS) format. For more information, please read the COG-BCI_info.pdf file.</strong>
description: This database has been created as part of a project validated by the local ethical committee of the University of Toulouse (CER number 2021-342).