cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.21788915.v3
title: Direct determination of oligomeric organization of integral membrane proteins and lipids from intact customizable bilayer

description: Native mass spectrometry data sets of different membrane proteins.
DOI: 10.21233/kyw3-fd92
title: Ellewoutsdijk I pollen dataset

description: Raw data for the Ellewoutsdijk I pollen dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.21233/x6m5-pa38
title: Haskerveenpolder C pollen dataset

description: Raw data for the Haskerveenpolder C pollen dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.21233/xd8c-dd52
title: Heetveld pollen dataset

description: Raw data for the Heetveld pollen dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.21233/86da-f493
title: Farmsum well B pollen dataset

description: Raw data for the Farmsum well B pollen dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.21233/97qe-bc42
title: Haskerveenpolder viersprong pollen dataset

description: Raw data for the Haskerveenpolder viersprong pollen dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.21233/en90-6p36
title: Berville-sur-Seine pollen dataset

description: Raw data for the Berville-sur-Seine pollen dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.34740/kaggle/dsv/4971551
title: Cotton plant disease 🌱🍂🍂🌱
DOI: 10.34740/kaggle/dsv/4971555
title: NSE-Scripts-Data
DOI: 10.21233/2eav-xs52
title: Groede pollen dataset

description: Raw data for the Groede pollen dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.21233/2h00-f789
title: Groede pollen dataset

description: Raw data for the Groede pollen dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.21233/2t7b-0x91
title: Heetveld pollen dataset

description: Raw data for the Heetveld pollen dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.21233/b6tg-r735
title: Lutjebroekermeer pollen dataset

description: Raw data for the Lutjebroekermeer pollen dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.21233/5rd0-d896
title: Haskerveenpolder B pollen dataset

description: Raw data for the Haskerveenpolder B pollen dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.21233/m8vy-kx96
title: De Vossenberg - de Rips pollen dataset

description: Raw data for the De Vossenberg - de Rips pollen dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.21233/3jpp-2r62
title: Biervliet kleine boompolder pollen dataset

description: Raw data for the Biervliet kleine boompolder pollen dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.21233/00kd-xb81
title: Lake Suho Ezero pollen dataset

description: Raw data for the Lake Suho Ezero pollen dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.21233/4ymz-6z15
title: Ritthem pollen dataset

description: Raw data for the Ritthem pollen dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.21233/5a62-8g05
title: Hauwert - Zwaagdijk pollen dataset

description: Raw data for the Hauwert - Zwaagdijk pollen dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.21233/myr4-3n72
title: Arnemuiden pollen dataset

description: Raw data for the Arnemuiden pollen dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.21233/g3y9-r423
title: Mallard Lake diatom dataset

description: Raw data for the Mallard Lake diatom dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.5517/ccdc.csd.cc24fr6k
title: CCDC 1979418: Experimental Crystal Structure Determination

description: Related Article: Kathleen Ngo, Boris Averkiev, Gordan Tyson Reeves, Andrew Wu, Daniel Wooseok Ki|2022|J.Coord.Chem.|75|796|doi:10.1080/00958972.2022.2081918
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.cc24fr7l
title: CCDC 1979419: Experimental Crystal Structure Determination

description: Related Article: Kathleen Ngo, Boris Averkiev, Gordan Tyson Reeves, Andrew Wu, Daniel Wooseok Ki|2022|J.Coord.Chem.|75|796|doi:10.1080/00958972.2022.2081918
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.cc24fr8m
title: CCDC 1979420: Experimental Crystal Structure Determination

description: Related Article: Kathleen Ngo, Boris Averkiev, Gordan Tyson Reeves, Andrew Wu, Daniel Wooseok Ki|2022|J.Coord.Chem.|75|796|doi:10.1080/00958972.2022.2081918
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.cc20bcmc
title: CCDC 1857012: Experimental Crystal Structure Determination

description: Related Article: Michael B. Pastor, Chao Feng, Yi-Ju Tsai, Amelia Watson, Qinliang Zhao|2021|Tetrahedron|84|131995|doi:10.1016/j.tet.2021.131995
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.cc24fr9n
title: CCDC 1979421: Experimental Crystal Structure Determination

description: Related Article: Kathleen Ngo, Boris Averkiev, Gordan Tyson Reeves, Andrew Wu, Daniel Wooseok Ki|2022|J.Coord.Chem.|75|796|doi:10.1080/00958972.2022.2081918
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.cc20bcnd
title: CCDC 1857013: Experimental Crystal Structure Determination

description: Related Article: Michael B. Pastor, Chao Feng, Yi-Ju Tsai, Amelia Watson, Qinliang Zhao|2021|Tetrahedron|84|131995|doi:10.1016/j.tet.2021.131995
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.cc275tpy
title: CCDC 2061180: Experimental Crystal Structure Determination

description: Related Article: jawher makhlouf|2021|CSD Communication|||
description: Related Article: Jawher Makhlouf,  Arto Valkonen,  Wajda Smirani Sta|2022|J.Coord.Chem.|75|1374|doi:10.1080/00958972.2022.2102905
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.cc275tr0
title: CCDC 2061182: Experimental Crystal Structure Determination

description: Related Article: Jawher Makhlouf,  Arto Valkonen,  Wajda Smirani Sta|2022|J.Coord.Chem.|75|1374|doi:10.1080/00958972.2022.2102905
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: 10.21233/v5mj-va77
title: Schildmeer S247 pollen dataset

description: Raw data for the Schildmeer S247 pollen dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.21233/e8zc-cb38
title: Cala Tirant pollen surface sample dataset

description: Raw data for the Cala Tirant pollen surface sample dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.23729/7c6ab2b8-5c1c-4d1d-9b4a-da830f25e231
title: Corpus of North American Spoken English_v1.1

description: The Corpus of North American Spoken English (CoNASE) is a 1.29-billion-word corpus of geolocated automatic speech recognition (ASR) YouTube transcripts from the United States and Canada, created for the study of lexical, grammatical, and discourse-pragmatic phenomena of spoken language, including their geographical distribution, in North American English. The size of the corpus allows rare phenomena to be considered, and because the annotation includes the video IDs of transcripts, search hits can be manually inspected and video or audio data can be accessed. As the starting point of a scripting pipeline, the corpus can also be used for large-scale acoustic analyses of North American speech. The corpus was created from 301,847 ASR transcripts from 2,572 YouTube channels, corresponding to 154,041 hours of video. The size of the corpus is 1,294,885,016 word tokens. The channels sampled in the corpus are associated with local government entities such as town, city, or county boards and councils, school or utility districts, regional authorities such as provincial or territorial governments, or other governmental organizations. The transcripts are primarily of recordings of public meetings, although other genres are also present. Video transcripts have been assigned exact latitude-longitude coordinates using a geocoding script. The untagged corpus is contained in the file conase_distributable.csv.gz. The PoS-tagged corpus with word timings is conase_pos_distributable.csv.gz. The separator for both files is the pipe character "|". The files contain the columns 'country', 'state', 'channel_title', 'video_title', 'video_id', 'name', 'type', 'channel_id', 'channel_username', 'video_length', 'location', 'address', 'nr_words', 'text_pos' (or 'text', in the untagged version), and 'latlong'. Each row corresponds to an individual transcript. In order to comply with Fair Use provisions of US copyright law, the original ASR transcript files from YouTube have been transformed in this version of the corpus: Every 200 words, ten words have been replaced with "@". In the PoS-tagged and word-timed corpus, these tokens have the form @_XX_1.0. See also https://cc.oulu.fi/~scoats/CoNASE.html
DOI: 10.5517/ccdc.csd.cc27w5gs
title: CCDC 2081695: Experimental Crystal Structure Determination

description: Related Article: Jawher Makhlouf,  Arto Valkonen,  Wajda Smirani Sta|2022|J.Coord.Chem.|75|1374|doi:10.1080/00958972.2022.2102905
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.cc27w5ht
title: CCDC 2081696: Experimental Crystal Structure Determination

description: Related Article: Jawher Makhlouf,  Arto Valkonen,  Wajda Smirani Sta|2022|J.Coord.Chem.|75|1374|doi:10.1080/00958972.2022.2102905
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.cc27xb4n
title: CCDC 2082801: Experimental Crystal Structure Determination

description: Related Article: Lun Xu|2022|CSD Communication|||
description: Related Article: Lun Xu, Hang Shi|2022|Sci.China.Chem.|65|2214|doi:10.1007/s11426-022-1251-4
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: 10.21233/mz0x-q611
title: Yville pollen dataset

description: Raw data for the Yville pollen dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.21233/pq5s-b994
title: Groede pollen dataset

description: Raw data for the Groede pollen dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.5517/ccdc.csd.cc2bmksb
title: CCDC 2163762: Experimental Crystal Structure Determination

description: Related Article: Heui Beom Lee,  R. David Britt,  Jonathan Rittle|2022|J.Coord.Chem.|75|1804|doi:10.1080/00958972.2022.2103411
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: 10.21233/ftpx-b586
title: Nijspolder pollen dataset

description: Raw data for the Nijspolder pollen dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.5517/ccdc.csd.cc2bmktc
title: CCDC 2163763: Experimental Crystal Structure Determination

description: Related Article: Heui Beom Lee,  R. David Britt,  Jonathan Rittle|2022|J.Coord.Chem.|75|1804|doi:10.1080/00958972.2022.2103411
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.cc2bmkvd
title: CCDC 2163764: Experimental Crystal Structure Determination

description: Related Article: Heui Beom Lee,  R. David Britt,  Jonathan Rittle|2022|J.Coord.Chem.|75|1804|doi:10.1080/00958972.2022.2103411
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.cc2bmkwf
title: CCDC 2163765: Experimental Crystal Structure Determination

description: Related Article: Heui Beom Lee,  R. David Britt,  Jonathan Rittle|2022|J.Coord.Chem.|75|1804|doi:10.1080/00958972.2022.2103411
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: 10.21233/6mkg-8156
title: Hallwilersee diatom dataset

description: Raw data for the Hallwilersee diatom dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.21233/n02m-gh64
title: Jumièges pollen dataset

description: Raw data for the Jumièges pollen dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.21233/zc2a-kk70
title: Lieshout III pollen dataset

description: Raw data for the Lieshout III pollen dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.21233/8nqb-ff71
title: Viitna Pikkjärv pollen dataset

description: Raw data for the Viitna Pikkjärv pollen dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.21233/4932-vd77
title: St. Maartensvlotbrug A pollen dataset

description: Raw data for the St. Maartensvlotbrug A pollen dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.21233/b7sa-rt05
title: St. Maartensvlotbrug B pollen dataset

description: Raw data for the St. Maartensvlotbrug B pollen dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.21233/e39v-c132
title: Forest Lake diatom dataset

description: Raw data for the Forest Lake diatom dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.21233/an1g-y861
title: Durgerdammerdie pollen dataset

description: Raw data for the Durgerdammerdie pollen dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.6084/m9.figshare.19137332
title: <i>What Are the Experiences of People with COPD Using Activity Monitors?: A Qualitative Scoping Review</i>

description: Physical activity monitoring technology (e.g. smartphone apps or wearables) can objectively record physical activity levels, potentially support interventions to increase activity levels, and support the self-management of Chronic Obstructive Pulmonary Disease (COPD). Insight into patients’ experiences of monitoring physical activity is needed to inform future healthcare practice and policy utilizing this technology to support long-term positive health behavior change. This scoping review aimed to explore the experiences of using technology for monitoring physical activity among people with COPD. The Joanna Briggs Institute scoping review methodological framework was used. Relevant scientific databases (CINAHL Complete, MEDLINE, PsycINFO, SPORTDiscus, Cochrane Library and Scopus) were searched from 1st January 2016 to 16th March 2021. Thematic synthesis was used to analyze the data. Twelve studies exploring the experiences of people with COPD using technology for monitoring physical activity were included in the synthesis. Seven themes were developed and summarize experiences: 1) Monitoring and keeping track of their activity and health, 2) Supporting motivation to be active, 3) Acceptability of the device, 4) Experiencing technical issues with the device, 5) Setting appropriate and achievable goals for their health condition, 6) Integrating the device into their life and daily routine, and 7) Perceived physical and psychological benefits of using the device. Further high-quality research is needed to understand the experiences of people with COPD using technology to monitor physical activity in everyday life and better self-manage their health condition. Supporting people with COPD to monitor their physical activity could enable them to better self-manage their health condition.
DOI: 10.6084/m9.figshare.19137332.v2
title: <i>What Are the Experiences of People with COPD Using Activity Monitors?: A Qualitative Scoping Review</i>

description: Physical activity monitoring technology (e.g. smartphone apps or wearables) can objectively record physical activity levels, potentially support interventions to increase activity levels, and support the self-management of Chronic Obstructive Pulmonary Disease (COPD). Insight into patients’ experiences of monitoring physical activity is needed to inform future healthcare practice and policy utilizing this technology to support long-term positive health behavior change. This scoping review aimed to explore the experiences of using technology for monitoring physical activity among people with COPD. The Joanna Briggs Institute scoping review methodological framework was used. Relevant scientific databases (CINAHL Complete, MEDLINE, PsycINFO, SPORTDiscus, Cochrane Library and Scopus) were searched from 1st January 2016 to 16th March 2021. Thematic synthesis was used to analyze the data. Twelve studies exploring the experiences of people with COPD using technology for monitoring physical activity were included in the synthesis. Seven themes were developed and summarize experiences: 1) Monitoring and keeping track of their activity and health, 2) Supporting motivation to be active, 3) Acceptability of the device, 4) Experiencing technical issues with the device, 5) Setting appropriate and achievable goals for their health condition, 6) Integrating the device into their life and daily routine, and 7) Perceived physical and psychological benefits of using the device. Further high-quality research is needed to understand the experiences of people with COPD using technology to monitor physical activity in everyday life and better self-manage their health condition. Supporting people with COPD to monitor their physical activity could enable them to better self-manage their health condition.
DOI: 10.6084/m9.figshare.19137332.v1
title: What Are the Experiences of People with COPD Using Activity Monitors?: A Qualitative Scoping Review

description: Physical activity monitoring technology (e.g. smartphone apps or wearables) can objectively record physical activity levels, potentially support interventions to increase activity levels, and support the self-management of Chronic Obstructive Pulmonary Disease (COPD). Insight into patients’ experiences of monitoring physical activity is needed to inform future healthcare practice and policy utilizing this technology to support long-term positive health behavior change. This scoping review aimed to explore the experiences of using technology for monitoring physical activity among people with COPD. The Joanna Briggs Institute scoping review methodological framework was used. Relevant scientific databases (CINAHL Complete, MEDLINE, PsycINFO, SPORTDiscus, Cochrane Library and Scopus) were searched from 1st January 2016 to 16th March 2021. Thematic synthesis was used to analyze the data. Twelve studies exploring the experiences of people with COPD using technology for monitoring physical activity were included in the synthesis. Seven themes were developed and summarize experiences: 1) Monitoring and keeping track of their activity and health, 2) Supporting motivation to be active, 3) Acceptability of the device, 4) Experiencing technical issues with the device, 5) Setting appropriate and achievable goals for their health condition, 6) Integrating the device into their life and daily routine, and 7) Perceived physical and psychological benefits of using the device. Further high-quality research is needed to understand the experiences of people with COPD using technology to monitor physical activity in everyday life and better self-manage their health condition. Supporting people with COPD to monitor their physical activity could enable them to better self-manage their health condition.
DOI: 10.21233/5e2p-nf82
title: Opmeer pollen dataset

description: Raw data for the Opmeer pollen dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.21233/bame-1r83
title: de poel bij Goes III pollen dataset

description: Raw data for the de poel bij Goes III pollen dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.21233/nr5s-4769
title: Haskerveenpolder A pollen dataset

description: Raw data for the Haskerveenpolder A pollen dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.21233/82f9-e155
title: Staveren pollen dataset

description: Raw data for the Staveren pollen dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.21233/bwx7-hq40
title: Hallwilersee pollen dataset

description: Raw data for the Hallwilersee pollen dataset obtained from the Neotoma Paleoecology Database.