cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.7373166
title: Sahel Land Cover OSO 2018

description: A land cover map of the Sahel region for the reference year 2018 produced by supervised classification of Sentinel-2 image time series and using the CGLS maps as reference data for supervision. The nomenclature is the following: tree cover:10<br> forest:100<br> evergreen needleleaf closed forest:111<br> evergreen broadleaf closed forest:112<br> deciduous needleleaf closed forest:113<br> deciduous broadleaf closed forest:114<br> closed forest mixed:115<br> closed forest unknown type:116<br> evergreen needleleaf open forest:121<br> evergreen broadleaf open forest:122<br> deciduous needleleaf open forest:123<br> deciduous broadleaf open forest:124<br> open forest mixed:125<br> open forest unknown type:126<br> shrubs:20<br> herbaceous vegetation:30<br> cropland:40<br> urban:50<br> bare / sparse vegetation:60<br> snow & ice:70<br> permanent water bodies:80<br> temporary water bodies:81<br> herbaceous wetland:90<br> sea:200<br> continental land mass not classified:255 The map was produced using iota2, a free and open source platform for automatic map production using satellite image time series.
DOI: 10.5281/zenodo.7373165
title: Sahel Land Cover OSO 2018

description: A land cover map of the Sahel region for the reference year 2018 produced by supervised classification of Sentinel-2 image time series and using the CGLS maps as reference data for supervision. The nomenclature is the following: tree cover:10<br> forest:100<br> evergreen needleleaf closed forest:111<br> evergreen broadleaf closed forest:112<br> deciduous needleleaf closed forest:113<br> deciduous broadleaf closed forest:114<br> closed forest mixed:115<br> closed forest unknown type:116<br> evergreen needleleaf open forest:121<br> evergreen broadleaf open forest:122<br> deciduous needleleaf open forest:123<br> deciduous broadleaf open forest:124<br> open forest mixed:125<br> open forest unknown type:126<br> shrubs:20<br> herbaceous vegetation:30<br> cropland:40<br> urban:50<br> bare / sparse vegetation:60<br> snow & ice:70<br> permanent water bodies:80<br> temporary water bodies:81<br> herbaceous wetland:90<br> sea:200<br> continental land mass not classified:255 The map was produced using iota2, a free and open source platform for automatic map production using satellite image time series.
DOI: 10.6084/m9.figshare.21647666
title: raw data

description: Ethylene is an important gaseous plant hormone involved in regulating multiple aspects of plant development.
DOI: 10.6084/m9.figshare.21647666.v1
title: raw data

description: Ethylene is an important gaseous plant hormone involved in regulating multiple aspects of plant development.
DOI: 10.6084/m9.figshare.21400018
title: Parent perspectives on augmentative and alternative communication in Sri Lanka

description: Parental support is an important part of introducing an augmentative and alternative communication (AAC) system to a child. Professionals providing AAC services to children with complex communication needs should practice family-centered service provision. The aim of this study was to explore Sri Lankan parents’ perspectives on AAC and their lived experiences. Semi-structured interviews were conducted with 10 parents of children with complex communication needs. Thematic analysis was used to analyze the findings, with the following themes identified: (a) External Systems, (b) Impact on the Family, (c) Impact on the Child, and (d) Communication (including AAC). Findings from this study provide important information for speech-language therapists providing services to families from low- and middle-income countries. In particular, parents reported several positive aspects of AAC. However, parents also reported challenges, including speech-language therapist’s lack of knowledge of and training in AAC.
DOI: 10.6084/m9.figshare.21400018.v1
title: Parent perspectives on augmentative and alternative communication in Sri Lanka

description: Parental support is an important part of introducing an augmentative and alternative communication (AAC) system to a child. Professionals providing AAC services to children with complex communication needs should practice family-centered service provision. The aim of this study was to explore Sri Lankan parents’ perspectives on AAC and their lived experiences. Semi-structured interviews were conducted with 10 parents of children with complex communication needs. Thematic analysis was used to analyze the findings, with the following themes identified: (a) External Systems, (b) Impact on the Family, (c) Impact on the Child, and (d) Communication (including AAC). Findings from this study provide important information for speech-language therapists providing services to families from low- and middle-income countries. In particular, parents reported several positive aspects of AAC. However, parents also reported challenges, including speech-language therapist’s lack of knowledge of and training in AAC.
DOI: 10.6084/m9.figshare.21173779
title: Attitudes toward the use of low-tech AAC in acute settings: a systematized review

description: The purpose of this systematized review was to investigate how attitudes toward low-tech AAC might be impacting its use in acute care settings. A comprehensive and systematic search of databases identified 23 articles for inclusion. Thematic analysis using the World Health Organization International Classification of Functioning, Disability and Health (ICF) framework facilitated a narrative synthesis of findings. Results suggest that in acute care settings (a) adult patients, families, nursing staff, medical team, and allied health professionals all have opportunities to use but do not regularly engage with AAC; (b) individuals reject low-tech AAC devices for a variety of reasons, including that they are not useful, necessary, suitable, or appropriate in settings such as intensive care units; (c) negative attitudes toward AAC are linked to a lack of initial training and ongoing support, perceived impersonal content, limited functionality, and a lack of consistent availability; and (d) positive attitudes toward low-tech AAC are more prevalent when training and support are offered, low-tech AAC effectiveness is demonstrated, and organizational, financial, and procedural commitments are provided. Limitations of the research are highlighted and future research opportunities are identified.
DOI: 10.6084/m9.figshare.21173779.v1
title: Attitudes toward the use of low-tech AAC in acute settings: a systematized review

description: The purpose of this systematized review was to investigate how attitudes toward low-tech AAC might be impacting its use in acute care settings. A comprehensive and systematic search of databases identified 23 articles for inclusion. Thematic analysis using the World Health Organization International Classification of Functioning, Disability and Health (ICF) framework facilitated a narrative synthesis of findings. Results suggest that in acute care settings (a) adult patients, families, nursing staff, medical team, and allied health professionals all have opportunities to use but do not regularly engage with AAC; (b) individuals reject low-tech AAC devices for a variety of reasons, including that they are not useful, necessary, suitable, or appropriate in settings such as intensive care units; (c) negative attitudes toward AAC are linked to a lack of initial training and ongoing support, perceived impersonal content, limited functionality, and a lack of consistent availability; and (d) positive attitudes toward low-tech AAC are more prevalent when training and support are offered, low-tech AAC effectiveness is demonstrated, and organizational, financial, and procedural commitments are provided. Limitations of the research are highlighted and future research opportunities are identified.
DOI: 10.15151/esrf-es-1006919195
title: Inhouse research

description: Sodium dodecyl sulfate-glycerol gelation in the presence of simple inorganic and organic salts. Aggregation of LiNO3 in PEG.
DOI: 10.48745/ppm.rd3b-2t58
title: sdLDL w różnym wieku i zaburzeniach lipidowych krwi
title: SdLDL concentration at different ages and blood lipid disorders
DOI: 10.6084/m9.figshare.20173444
title: data_VS_SUn

description: Transcriptomic profiles comparison of wild and cultivated plant comparison of transcriptomic profiles of wild and cultivated plants of Selenicereus undatus stems.<br>
DOI: 10.6084/m9.figshare.20173444.v1
title: data_VS_SUn

description: Transcriptomic profiles comparison of wild and cultivated plant comparison of transcriptomic profiles of wild and cultivated plants of Selenicereus undatus stems.<br>
DOI: 10.6084/m9.figshare.16777786.v6
title: DATA ARTICLE - GMJC

description: Angiotensin - ELISATubular measurementsIntertubular measurementsLicenceCountsGene expressions
DOI: 10.5287/bodleian:xr48yqeom
title: Heat Transfer Measurements of a Transpiration-Cooled Stagnation Point in Transient Hypersonic Flow - Dataset
DOI: 10.5281/zenodo.7382664
title: Learning Unsupervised Hierarchies of Audio Concepts

description: Dataset of our paper "Learning Unsupervised Hierarchies of Audio Concepts" published at the ISMIR 2022 conference. For usage, please refer to our code repository at github.com/deezer/concept_hierarchy. <strong>Paper abstract</strong> Music signals are difficult to interpret from their low-level features, perhaps even more than images: e.g. highlighting part of a spectrogram or an image is often insufficient to convey high-level ideas that are genuinely relevant to humans. In computer vision, concept learning was therein proposed to adjust explanations to the right abstraction level (e.g. detect clinical concepts from radiographs). These methods have yet to be used for MIR.<br> In this paper, we adapt concept learning to the realm of music, with its particularities. For instance, music concepts are typically non-independent and of mixed nature (e.g. genre, instruments, mood), unlike previous work that assumed disentangled concepts. We propose a method to learn numerous music concepts from audio and then automatically hierarchise them to expose their mutual relationships. We conduct experiments on datasets of playlists from a music streaming service, serving as a few annotated examples for diverse concepts. Evaluations show that the mined hierarchies are aligned with both ground-truth hierarchies of concepts -- when available -- and with proxy sources of concept similarity in the general case. <strong>Citation</strong> If you use this material, please consider citing our work with the following: <pre><code>@inproceedings{afchar2022learning, title={Learning Unsupervised Hierarchies of Audio Concepts}, author={Afchar, Darius and Hennequin, Romain and Guigue, Vincent}, booktitle={International Society of Music Information Retrieval Conference (ISMIR)}, year={2022} }</code></pre> <strong>How can I send you my love letters?</strong> You can contact us at research@deezer.com.
description: {"references": ["arXiv:2207.11231"]}
DOI: 10.5281/zenodo.7382663
title: Learning Unsupervised Hierarchies of Audio Concepts

description: Dataset of our paper "Learning Unsupervised Hierarchies of Audio Concepts" published at the ISMIR 2022 conference. For usage, please refer to our code repository at github.com/deezer/concept_hierarchy. <strong>Paper abstract</strong> Music signals are difficult to interpret from their low-level features, perhaps even more than images: e.g. highlighting part of a spectrogram or an image is often insufficient to convey high-level ideas that are genuinely relevant to humans. In computer vision, concept learning was therein proposed to adjust explanations to the right abstraction level (e.g. detect clinical concepts from radiographs). These methods have yet to be used for MIR.<br> In this paper, we adapt concept learning to the realm of music, with its particularities. For instance, music concepts are typically non-independent and of mixed nature (e.g. genre, instruments, mood), unlike previous work that assumed disentangled concepts. We propose a method to learn numerous music concepts from audio and then automatically hierarchise them to expose their mutual relationships. We conduct experiments on datasets of playlists from a music streaming service, serving as a few annotated examples for diverse concepts. Evaluations show that the mined hierarchies are aligned with both ground-truth hierarchies of concepts -- when available -- and with proxy sources of concept similarity in the general case. <strong>Citation</strong> If you use this material, please consider citing our work with the following: <pre><code>@inproceedings{afchar2022learning, title={Learning Unsupervised Hierarchies of Audio Concepts}, author={Afchar, Darius and Hennequin, Romain and Guigue, Vincent}, booktitle={International Society of Music Information Retrieval Conference (ISMIR)}, year={2022} }</code></pre> <strong>How can I send you my love letters?</strong> You can contact us at research@deezer.com.
description: {"references": ["arXiv:2207.11231"]}
DOI: 10.5281/zenodo.7373180
title: Data for Project 'Development and Initial Validation of the German Version of the Exergame Enjoyment Questionnaire (EEQ-G)'

description: Data for Project 'Development and Initial Validation of the German Version of the Exergame Enjoyment Questionnaire (EEQ-G)', consisting of (1) the original and complete dataset (Data_EEQ-G_Validation_Study_for-publication.xlsx) and (2) a corresponding README file including (a) general information, (b) data and file overview, (c) sharing and access information, (d) methodological information, and (e) data-specific information.
DOI: 10.5281/zenodo.7373179
title: Data for Project 'Development and Initial Validation of the German Version of the Exergame Enjoyment Questionnaire (EEQ-G)'

description: Data for Project 'Development and Initial Validation of the German Version of the Exergame Enjoyment Questionnaire (EEQ-G)', consisting of (1) the original and complete dataset (Data_EEQ-G_Validation_Study_for-publication.xlsx) and (2) a corresponding README file including (a) general information, (b) data and file overview, (c) sharing and access information, (d) methodological information, and (e) data-specific information.
DOI: 10.15468/56cv-7w97
title: GBIF Backbone Taxonomy (2022-11-23)
DOI: 10.5066/p9bx5z48
title: Habitat and biological assemblage data of streams within Tribal lands of the Pearl River Community of the Mississippi Band of Choctaw Indians, 2017-18

description: This data release contains habitat survey data (quantitative and qualitative) and biological assemblage data (periphyton, macroinvertebrate, and fish) collected among 8 stream sites within the Tribal lands of the Pearl River Community of the Mississippi Band of Choctaw Indians (MBCI). The MBCI is a Federally recognized Native American Tribe and the Pearl River Community, located near Philadelphia, Mississippi, is responsible for protecting the quality of surface waters from point and non-point sources of pollution and restoring waters considered impaired of their designated use. The MBCI cooperated with the U.S. Geological Survey (USGS) to conduct a baseline study at selected stream sites within and contiguous to the Pearl River Community. For this data release, habitat and biological data were collected between February 2017 to August 2018. Associated USGS Scientific Investigations Report and raw water quality data are also avaliable from: Driver, L.J., Hicks, M.B., and Gill, A.C., 2022, Characterization of water quality, biology, and habitat of the Pearl River and selected tributaries contiguous to and within Tribal lands of the Pearl River community of the Mississippi Band of Choctaw Indians, 2017–18: U.S. Geological Survey Scientific Investigations Report 2022–5090, 64 p., https://doi.org/10.3133/sir20225090 U.S. Geological Survey, 2018, USGS water data for the Nation: U.S. Geological Survey National Water Information System database, https://doi.org/10.5066/F7P55KJN
DOI: 10.5281/zenodo.7116021
title: De novo modelling of HEV replication polyprotein: Five-domain breakdown and involvement of flexibility in functional regulation - DATASET

description: All models used for the paper "De novo modelling of HEV replication polyprotein: Five-domain breakdown and involvement of flexibility in functional regulation".
description: This research received specific grants from ANRS (ECTZ105819 and ECTZ188022) and a postdoctoral fellowship (ECTZ189696 to TT).
DOI: 10.5281/zenodo.7116020
title: De novo modelling of HEV replication polyprotein: Five-domain breakdown and involvement of flexibility in functional regulation - DATASET

description: All models used for the paper "De novo modelling of HEV replication polyprotein: Five-domain breakdown and involvement of flexibility in functional regulation".
description: This research received specific grants from ANRS (ECTZ105819 and ECTZ188022) and a postdoctoral fellowship (ECTZ189696 to TT).
DOI: 10.5281/zenodo.7382752
title: De novo modelling of HEV replication polyprotein: Five-domain breakdown and involvement of flexibility in functional regulation - DATASET

description: All models used for the paper "De novo modelling of HEV replication polyprotein: Five-domain breakdown and involvement of flexibility in functional regulation".
description: This research received specific grants from ANRS (ECTZ105819 and ECTZ188022) and a postdoctoral fellowship (ECTZ189696 to TT).
DOI: 10.5517/ccdc.csd.cc2432jw
title: CCDC 1969167: Experimental Crystal Structure Determination

description: Related Article: Nithya Natarajan, Ezhilan Jayabal, Venkatesan Rengarajan, Vasuki Gnanasambandam|2022|Org.Biomol.Chem.|20|9192|doi:10.1039/D2OB01209J
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.cc25z3cn
title: CCDC 2024931: Experimental Crystal Structure Determination

description: Related Article: Weichun Li, Peng Qin, Xing-Xing Zhao, Wen-Juan Qu, Qi Lin, Hong Yao, Tai-Bao Wei, You-Ming Zhang, Yuezhou Liu, Bingbing Shi|2022|Org.Biomol.Chem.|20|9122|doi:10.1039/D2OB01579J
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.cc2bhg9m
title: CCDC 2159810: Experimental Crystal Structure Determination

description: Related Article: Jia Guo, Hao-Ran Ma, Wen-Bin Xiong, Luoyi Fan, You-Yun Zhou, Henry N. C. Wong, Jian-Fang Cui|2022|Chemical Science|13|13914|doi:10.1039/D2SC04892B
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.cc2bnnj6
title: CCDC 2164808: Experimental Crystal Structure Determination

description: Related Article: Maryam Sobhani, Rúben Manuel Figueira de Abreu, Alexander Villinger, Peter Ehlers, Peter Langer|2022|Org.Biomol.Chem.|20|9207|doi:10.1039/D2OB01320G
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.cc2bnnk7
title: CCDC 2164809: Experimental Crystal Structure Determination

description: Related Article: Maryam Sobhani, Rúben Manuel Figueira de Abreu, Alexander Villinger, Peter Ehlers, Peter Langer|2022|Org.Biomol.Chem.|20|9207|doi:10.1039/D2OB01320G
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.cc2bnnl8
title: CCDC 2164810: Experimental Crystal Structure Determination

description: Related Article: Maryam Sobhani, Rúben Manuel Figueira de Abreu, Alexander Villinger, Peter Ehlers, Peter Langer|2022|Org.Biomol.Chem.|20|9207|doi:10.1039/D2OB01320G
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.cc2bnnm9
title: CCDC 2164811: Experimental Crystal Structure Determination

description: Related Article: Maryam Sobhani, Rúben Manuel Figueira de Abreu, Alexander Villinger, Peter Ehlers, Peter Langer|2022|Org.Biomol.Chem.|20|9207|doi:10.1039/D2OB01320G
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.cc2bnnnb
title: CCDC 2164812: Experimental Crystal Structure Determination

description: Related Article: Maryam Sobhani, Rúben Manuel Figueira de Abreu, Alexander Villinger, Peter Ehlers, Peter Langer|2022|Org.Biomol.Chem.|20|9207|doi:10.1039/D2OB01320G
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.cc2bnnpc
title: CCDC 2164813: Experimental Crystal Structure Determination

description: Related Article: Maryam Sobhani, Rúben Manuel Figueira de Abreu, Alexander Villinger, Peter Ehlers, Peter Langer|2022|Org.Biomol.Chem.|20|9207|doi:10.1039/D2OB01320G
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.cc2bnnqd
title: CCDC 2164814: Experimental Crystal Structure Determination

description: Related Article: Maryam Sobhani, Rúben Manuel Figueira de Abreu, Alexander Villinger, Peter Ehlers, Peter Langer|2022|Org.Biomol.Chem.|20|9207|doi:10.1039/D2OB01320G
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.