cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.5503980
title: Environmental Education During the COVID-19 Pandemic Dataset

description: Data files that support the capstone thesis <em>Environmental Education during the COVID-19 Pandemic</em> by Margaret Janz. The COVID-19 pandemic that hit the United States in March 2020 quickly caused the entire nation to rethink how we work and how we approach education. Informal environmental education in particular faced unique challenges during this time yet found ways to adapt their educational programming. This thesis will explore the questions: How did organizations alter and adapt their programming to meet public health guidelines during the pandemic? and What successes and challenges did organizations face in offering these programs? To answer these questions, a survey was distributed to organizations that offer environmental education programs. Results echo and expand on the existing literature on pandemic education. Organizations offered many virtual programs both synchronously and asynchronously and also found new ways to offer in person events. Programs that involved some interaction with other people and those that took place in person or outdoors were most successful, while asynchronous virtual materials were considered less so. Organizations faced many challenges in offering programming including financial barriers, technology troubles, and difficulty staying current on public health recommendations. Despite the difficulties and learning losses, respondents felt there may have been some benefits to the changes in their programming and many will continue to offer their adapted programs in the future.
description: ZIP file contains: - coded qualitative data - de-identified raw data collected from survey -README file with information about using the data
DOI: 10.5281/zenodo.5503979
title: Environmental Education During the COVID-19 Pandemic Dataset

description: Data files that support the capstone thesis <em>Environmental Education during the COVID-19 Pandemic</em> by Margaret Janz. The COVID-19 pandemic that hit the United States in March 2020 quickly caused the entire nation to rethink how we work and how we approach education. Informal environmental education in particular faced unique challenges during this time yet found ways to adapt their educational programming. This thesis will explore the questions: How did organizations alter and adapt their programming to meet public health guidelines during the pandemic? and What successes and challenges did organizations face in offering these programs? To answer these questions, a survey was distributed to organizations that offer environmental education programs. Results echo and expand on the existing literature on pandemic education. Organizations offered many virtual programs both synchronously and asynchronously and also found new ways to offer in person events. Programs that involved some interaction with other people and those that took place in person or outdoors were most successful, while asynchronous virtual materials were considered less so. Organizations faced many challenges in offering programming including financial barriers, technology troubles, and difficulty staying current on public health recommendations. Despite the difficulties and learning losses, respondents felt there may have been some benefits to the changes in their programming and many will continue to offer their adapted programs in the future.
description: ZIP file contains: - coded qualitative data - de-identified raw data collected from survey -README file with information about using the data
DOI: 10.5281/zenodo.5503950
title: Questionnaire on adnumerative forms in West Polesian and tokens from the corpus

description: The following document contains a scratchy draft of the answers given by West Polesian speakers concerning numeral phrases and The data were gathered by Kristian Roncero in the region of Brest (Belarus) between 2016-2017 as a part of his PhD project. The first part of the questionnaire is inspired by Shevelov (1963). The second part contains several paradigms and the different answers multiple speakers have given for them. The first half is based on answers given to visual stimuli; whilst the second one are based on direct elicitation for primarily masculine human (virile) nouns, as I suspected they had a special distribution of the adnumerative.The last part contains some hits of numeral phrases with lower numerals in West Polesian from free texts (note that many data are missing here).
DOI: 10.5281/zenodo.5503949
title: Questionnaire on adnumerative forms in West Polesian and tokens from the corpus

description: The following document contains a scratchy draft of the answers given by West Polesian speakers concerning numeral phrases and The data were gathered by Kristian Roncero in the region of Brest (Belarus) between 2016-2017 as a part of his PhD project. The first part of the questionnaire is inspired by Shevelov (1963). The second part contains several paradigms and the different answers multiple speakers have given for them. The first half is based on answers given to visual stimuli; whilst the second one are based on direct elicitation for primarily masculine human (virile) nouns, as I suspected they had a special distribution of the adnumerative.The last part contains some hits of numeral phrases with lower numerals in West Polesian from free texts (note that many data are missing here).
DOI: 10.5281/zenodo.5503988
title: Fighting COVID-19 with computational tools: an AI guided review of 17,000 studies - The CSCoV database.

description: CSCoV (Computational Studies about COVID-19) is a dataset containing COVID-19 related studies extracted from PubMed, bioRxiv, medRxiv, and arXiv, together with article and author related metrics obtained from Semantic Scholar (plus page views from bioRxiv and medRxiv). Using machine learning, the articles are categorized in six topics (Pharmacology, Genomics, Epidemiology, Healthcare, Clinical Medicine, Clinical Imaging) and prioritized. The database is periodically updated. Publication: TBA Files included in this release: cscov_09_2021.png: dataset statistics for the current CSCoV release. cscov_09_2021.tsv: CSCoV database. schema.json: metadata. cscov_09_2021.tar.gz: Doc2Vec and DeepWalk features used for the DL model Source code: https://github.com/SFB-KAUST/covid-review
DOI: 10.5281/zenodo.4904774
title: Fighting COVID-19 with computational tools: an AI guided review of 17,000 studies - The CSCoV database.

description: CSCoV (Computational Studies about COVID-19) is a dataset containing COVID-19 related studies extracted from PubMed, bioRxiv, medRxiv, and arXiv, together with article and author related metrics obtained from Semantic Scholar (plus page views from bioRxiv and medRxiv). Using machine learning, the articles are categorized in six topics (Pharmacology, Genomics, Epidemiology, Healthcare, Clinical Medicine, Clinical Imaging) and prioritized. The database is periodically updated. Publication: TBA Files included in this release: cscov_09_2021.png: dataset statistics for the current CSCoV release. cscov_09_2021.tsv: CSCoV database. schema.json: metadata. cscov_09_2021.tar.gz: Doc2Vec and DeepWalk features used for the DL model Source code: https://github.com/SFB-KAUST/covid-review
DOI: 10.25828/9ktz-r872
title: Online Psychotherapy During COVID-19 2020-2021
DOI: 10.6078/m7ht2mfb
title: Archaeobotanical Data from Tell Leilan
DOI: 10.5281/zenodo.5502388
title: goosynthpart4

description: goosynthpart4
DOI: 10.5281/zenodo.5502387
title: goosynthpart4

description: goosynthpart4
DOI: 10.18112/openneuro.ds003768.v1.0.1
title: Simultaneous EEG and fMRI signals during sleep from humans
DOI: 10.6084/m9.figshare.16611520.v1
title: Optical Microscopy data

description: Optical microscopy data for MoSe2 sample on SiO2.
DOI: 10.6084/m9.figshare.16611520
title: Optical Microscopy data

description: Optical microscopy data for MoSe2 sample on SiO2.
DOI: 10.6084/m9.figshare.16611526
title: Forest plants and spiders assemblages and traits datasets

description: Six matrices available :1) Site description and habitat conditions, a list of plots studied with sites, forest continuity (recent or ancient site) and geographical coordinates.<br>2) Plant assemblages data, with the percent cover of each species within all plots used in this study.3) Spider assemblages data (presence-absence) <br>4) Plant trait data, the raw trait data for all species recorded into the studied plots (9 traits).5) Spider trait data (4 traits).
DOI: 10.6084/m9.figshare.16611538
title: Photoluminescence Spectroscopy data

description: Photoluminescence spectroscopy data of MoSe2 sample.
DOI: 10.6084/m9.figshare.16611550
title: Tapping mode, NC-AFM and KPFM data

description: Tapping mode, NC-AFM and KPFM data of Flakes 1 and 2 from the manuscript "How High is a MoSe2 Monolayer?".
DOI: 10.5066/p9ft7c1o
title: Traits and Factors Catalog (TRAFAC): Hardwood specialists of North America

description: These data were compiled in support of the 'Predicting the next high-impact insect invasion: Elucidating traits and factors determining the risk of introduced herbivorous insects on North American native plants' project, supported by the U.S. Geological Survey John Wesley Powell Center for Analysis and Synthesis. The project working group compiled data for non-native insects herbivorous on one North American hardwood (i.e., woody angiosperm) family. Data were synthesized from existing resources for a variety of insect traits, traits of their North American hardwood host plants, divergence time between the North American host species and the host species in the insects' native range, and native insects that feed on the same North American host as the non-native insect (co-evolved). This dataset, referred to as the TRAFAC (Traits and Factors Catalogue) for hardwoods supports analysis performed by the working group on the drivers of non-native insect impact on North American hardwoods and also stands alone as a resource for additional analysis.
DOI: 10.6084/m9.figshare.16611583
title: All data for How high is a MoSe2 monolayer manuscript

description: All optical microscopy, photoluminescence spectroscopy, tapping mode AFM, non-contact AFM and KPFM data for the manuscript titled "How high is a MoSe<sub>2</sub> monolayer?".
DOI: 10.6073/pasta/d16809a70bf2372816b00ff3ce818dfa
title: Meta-analytical data on soil organic, particulate organic, and mineral-associated organic carbon under nitrogen fertilization, elevated atmospheric carbon dioxide, atmospheric warming, increased precipitation, drought, and their combined effects

description: Data were harvested from journal articles found on the Web of Science Core Collection and the ProQuest Agricultural and Environmental Database that studied soil organic matter fraction carbon responses to global changes (nitrogen fertilization, elevated atmospheric carbon dioxide, atmospheric warming, increased and decreased precipitation, and combined effects). Soil organic carbon fractions were designated as particulate organic carbon or mineral-associated organic carbon based on size and density cutoffs. Relevant metadata, including article information (authors, publication year), environmental information (soil type, climate, and land use), and experiment information (rates, methods) were also added to the dataset.
DOI: 10.5281/zenodo.5504037
title: Liquid Biopsy as a Diagnostic and Prognostic Tool for Women and Female Dogs with Breast Cancer

description: This dataset contains numerous analyses on genetic variants obtained from liquid biopsy of women and dogs with breast cancer (BC). Both core biopsy and plasma samples were processed for next generation sequencing (NGS) assay. The effectiveness of liquid biopsy in the diagnosis and follow-up of women and female dogs with BC was investigated. In this study, 55 and 35 BC samples were collected from women and female dogs, respectively. After obtaining core biopsy and plasma samples, DNA and ctDNA of tumor fragments and plasma were processed and submitted to the Genome Analysis ToolKit (GATK).
DOI: 10.5281/zenodo.5033845
title: Liquid Biopsy as a Diagnostic and Prognostic Tool for Women and Female Dogs with Breast Cancer

description: This dataset contains numerous analyses on genetic variants obtained from liquid biopsy of women and dogs with breast cancer (BC). Both core biopsy and plasma samples were processed for next generation sequencing (NGS) assay. The effectiveness of liquid biopsy in the diagnosis and follow-up of women and female dogs with BC was investigated. In this study, 55 and 35 BC samples were collected from women and female dogs, respectively. After obtaining core biopsy and plasma samples, DNA and ctDNA of tumor fragments and plasma were processed and submitted to the Genome Analysis ToolKit (GATK).
DOI: 10.6084/m9.figshare.14447802
title: COX1 sequences

description: COX1 sequences extracted from a coreoid sequence capture dataset that were not deposited on NCBI due to sequence length requirements for submission.
DOI: 10.6084/m9.figshare.14447802.v1
title: COX1 sequences

description: COX1 sequences extracted from a coreoid sequence capture dataset that were not deposited on NCBI due to sequence length requirements for submission.
DOI: 10.5517/ccdc.csd.cc1zz4rv
title: CCDC 1846228: Experimental Crystal Structure Determination

description: Related Article: Yan Zhou, Lei Han, Wen-Jie Chen|2021|CrystEngComm|23|5982|doi:10.1039/D1CE00689D
DOI: 10.5517/ccdc.csd.cc21s7fj
title: CCDC 1900127: Experimental Crystal Structure Determination

description: Related Article: Yi Ding, Malgorzata Szymczyk, Nahid Mehraban, Jihye Lim, Lisa Parrillo-Chapman, Ahmed El-Shafei, Harold S. Freeman|2021|J.Mol.Struct.|1248|131349|doi:10.1016/j.molstruc.2021.131349
DOI: 10.5517/ccdc.csd.cc23j2yp
title: CCDC 1951882: Experimental Crystal Structure Determination

description: Related Article: Changjiang Bao, Yanwei Li, Yanhui Li, Zhenjun Si, Yanru Zhang, Changshun Chen, Lei Wang, Qian Duan|2021|New J.Chem.|45|16030|doi:10.1039/D1NJ02632A
DOI: 10.5517/ccdc.csd.cc23jklt
title: CCDC 1952336: Experimental Crystal Structure Determination

description: Related Article: Swastik Karmakar, Prasanta Das, Sandip Kundu|2021|New J.Chem.|45|16112|doi:10.1039/D1NJ02643G
DOI: 10.5517/ccdc.csd.cc23n0rk
title: CCDC 1955658: Experimental Crystal Structure Determination

description: Related Article: Daniel Farran, Nicolas Vanthuyne, Giulia Bossa, Vincent Belot, Muriel Albalat, Marion Jean, Christian Roussel|2021|New J.Chem.|45|16039|doi:10.1039/D1NJ03178C
DOI: 10.5517/ccdc.csd.cc23n0sl
title: CCDC 1955659: Experimental Crystal Structure Determination

description: Related Article: Daniel Farran, Nicolas Vanthuyne, Giulia Bossa, Vincent Belot, Muriel Albalat, Marion Jean, Christian Roussel|2021|New J.Chem.|45|16039|doi:10.1039/D1NJ03178C
DOI: 10.5517/ccdc.csd.cc23n0tm
title: CCDC 1955660: Experimental Crystal Structure Determination

description: Related Article: Daniel Farran, Nicolas Vanthuyne, Giulia Bossa, Vincent Belot, Muriel Albalat, Marion Jean, Christian Roussel|2021|New J.Chem.|45|16039|doi:10.1039/D1NJ03178C
DOI: 10.5517/ccdc.csd.cc23n0vn
title: CCDC 1955661: Experimental Crystal Structure Determination

description: Related Article: Daniel Farran, Nicolas Vanthuyne, Giulia Bossa, Vincent Belot, Muriel Albalat, Marion Jean, Christian Roussel|2021|New J.Chem.|45|16039|doi:10.1039/D1NJ03178C
DOI: 10.5517/ccdc.csd.cc24xfn5
title: CCDC 1993537: Experimental Crystal Structure Determination

description: Related Article: Xiao-Ning Wang, Yu-Meng Zhao, Angelo Kirchon, Bao Li, Hong-Cai Zhou|2020|Inorg.Chem.|59|11940|doi:10.1021/acs.inorgchem.0c02152
DOI: 10.5517/ccdc.csd.cc25w6hs
title: CCDC 2022145: Experimental Crystal Structure Determination

description: Related Article: Peng-Fei Wang, Wei Yi, Yong Ling, Liang Ming, Gong-Qing Liu, Yu Zhao|2021|Chin.Chem.Lett.|32|2587|doi:10.1016/j.cclet.2021.02.050
DOI: 10.5517/ccdc.csd.cc25w6lw
title: CCDC 2022148: Experimental Crystal Structure Determination

description: Related Article: Peng-Fei Wang, Wei Yi, Yong Ling, Liang Ming, Gong-Qing Liu, Yu Zhao|2021|Chin.Chem.Lett.|32|2587|doi:10.1016/j.cclet.2021.02.050
DOI: 10.5517/ccdc.csd.cc2681j2
title: CCDC 2033523: Experimental Crystal Structure Determination

description: Related Article: Priyanka Yadav, Satish K. Awasthi|2021|New J.Chem.|45|15928|doi:10.1039/D1NJ01149A
DOI: 10.5517/ccdc.csd.cc2687mc
title: CCDC 2033712: Experimental Crystal Structure Determination

description: Related Article: Haijun Leng, Qian Zhao, Qing Mao, Shuaijiang Liu, Menglan Luo, Rui Qin, Wei Huang, Gu Zhan|2021|Chin.Chem.Lett.|32|2567|doi:10.1016/j.cclet.2021.03.009
DOI: 10.5517/ccdc.csd.cc2687sj
title: CCDC 2033717: Experimental Crystal Structure Determination

description: Related Article: Haijun Leng, Qian Zhao, Qing Mao, Shuaijiang Liu, Menglan Luo, Rui Qin, Wei Huang, Gu Zhan|2021|Chin.Chem.Lett.|32|2567|doi:10.1016/j.cclet.2021.03.009
DOI: 10.5517/ccdc.csd.cc2687nd
title: CCDC 2033713: Experimental Crystal Structure Determination

description: Related Article: Haijun Leng, Qian Zhao, Qing Mao, Shuaijiang Liu, Menglan Luo, Rui Qin, Wei Huang, Gu Zhan|2021|Chin.Chem.Lett.|32|2567|doi:10.1016/j.cclet.2021.03.009
DOI: 10.5517/ccdc.csd.cc26grv9
title: CCDC 2039981: Experimental Crystal Structure Determination

description: Related Article: Shuangjing Zhou, Baogui Cai, Chuxia Hu, Xu Cheng, Lei Li, Jun Xuan|2021|Chin.Chem.Lett.|32|2577|doi:10.1016/j.cclet.2021.03.010
DOI: 10.5517/ccdc.csd.cc26grwb
title: CCDC 2039982: Experimental Crystal Structure Determination

description: Related Article: Shuangjing Zhou, Baogui Cai, Chuxia Hu, Xu Cheng, Lei Li, Jun Xuan|2021|Chin.Chem.Lett.|32|2577|doi:10.1016/j.cclet.2021.03.010
DOI: 10.5517/ccdc.csd.cc26j5db
title: CCDC 2041331: Experimental Crystal Structure Determination

description: Related Article: Ayushi Singh, Amita Singh, Gabriele Kociok-Köhn, Kieran C. Molloy, Ashish Kumar Singh, Abhinav Kumar, Mohd. Muddassir|2021|New J.Chem.|45|16264|doi:10.1039/D1NJ02644E
DOI: 10.5517/ccdc.csd.cc26lfnx
title: CCDC 2043509: Experimental Crystal Structure Determination

description: Related Article: Priyanka Yadav, Satish K. Awasthi|2021|New J.Chem.|45|15928|doi:10.1039/D1NJ01149A
DOI: 10.5517/ccdc.csd.cc26prc1
title: CCDC 2046693: Experimental Crystal Structure Determination

description: Related Article: Jacco van de Streek, Tatiana E. Gorelik, Martin U. Schmidt|2021|Dyes Pigm.|196|109456|doi:10.1016/j.dyepig.2021.109456
DOI: 10.5517/ccdc.csd.cc26r459
title: CCDC 2048020: Experimental Crystal Structure Determination

description: Related Article: Jun Miao|2020|CSD Communication|||
description: Related Article: Jun Miao, Yimeng Zhang, Ming Zhang|2021|Mater. Chem. Front.|5|6865|doi:10.1039/D1QM00578B
DOI: 10.5517/ccdc.csd.cc26r426
title: CCDC 2048017: Experimental Crystal Structure Determination

description: Related Article: Jun Miao|2020|CSD Communication|||
description: Related Article: Jun Miao, Yimeng Zhang, Ming Zhang|2021|Mater. Chem. Front.|5|6865|doi:10.1039/D1QM00578B
DOI: 10.5517/ccdc.csd.cc26r437
title: CCDC 2048018: Experimental Crystal Structure Determination

description: Related Article: Jun Miao|2020|CSD Communication|||
description: Related Article: Jun Miao, Yimeng Zhang, Ming Zhang|2021|Mater. Chem. Front.|5|6865|doi:10.1039/D1QM00578B
DOI: 10.5517/ccdc.csd.cc23zjn9
title: CCDC 1965761: Experimental Crystal Structure Determination

description: Related Article: Munirathnam Manda, Himanshu Arora, Arunava Sengupta, Shashi Kant, Francesc Lloret, Rabindranath Mukherjee|2021|New J.Chem.|45|16019|doi:10.1039/D1NJ01150B
DOI: 10.5517/ccdc.csd.cc26r448
title: CCDC 2048019: Experimental Crystal Structure Determination

description: Related Article: Jun Miao|2020|CSD Communication|||
description: Related Article: Jun Miao, Yimeng Zhang, Ming Zhang|2021|Mater. Chem. Front.|5|6865|doi:10.1039/D1QM00578B
DOI: 10.5517/ccdc.csd.cc23zjm8
title: CCDC 1965760: Experimental Crystal Structure Determination

description: Related Article: Munirathnam Manda, Himanshu Arora, Arunava Sengupta, Shashi Kant, Francesc Lloret, Rabindranath Mukherjee|2021|New J.Chem.|45|16019|doi:10.1039/D1NJ01150B
DOI: 10.5517/ccdc.csd.cc23zjpb
title: CCDC 1965762: Experimental Crystal Structure Determination

description: Related Article: Munirathnam Manda, Himanshu Arora, Arunava Sengupta, Shashi Kant, Francesc Lloret, Rabindranath Mukherjee|2021|New J.Chem.|45|16019|doi:10.1039/D1NJ01150B
DOI: 10.25934/00005598.2
title: Available IPD datapackage for study 'A Phase III, Open-Label, Multicenter, Randomized Study to Investigate the Efficacy and Safety of Atezolizumab (Anti-PD-L1 Antibody) Compared With Chemotherapy in Patients With Locally Advanced or Metastatic Urothelial Bladder Cancer After Failure With Platinum-Containing Chemotherapy'

description: Vivli is an independent, non-profit organization that has developed a global data-sharing and analytics platform to serve all elements of the international research community. Our mission is to promote, coordinate, and facilitate scientific sharing and reuse of clinical research data through the creation and implementation of a sustainable global data-sharing enterprise. The Vivli platform includes an independent data repository, in-depth search engine and a cloud-based, secure analytics platform.
DOI: 10.25934/00005598.3
title: IPD datapackage for study 'A Phase III, Open-Label, Multicenter, Randomized Study to Investigate the Efficacy and Safety of Atezolizumab (Anti-PD-L1 Antibody) Compared With Chemotherapy in Patients With Locally Advanced or Metastatic Urothelial Bladder Cancer After Failure With Platinum-Containing Chemotherapy' and research request: 'Patterns of outcomes and the relevance surrogate endpoints in patients treated with immune checkpoint inhibitors'

description: Vivli is an independent, non-profit organization that has developed a global data-sharing and analytics platform to serve all elements of the international research community. Our mission is to promote, coordinate, and facilitate scientific sharing and reuse of clinical research data through the creation and implementation of a sustainable global data-sharing enterprise. The Vivli platform includes an independent data repository, in-depth search engine and a cloud-based, secure analytics platform.
DOI: 10.6084/m9.figshare.12482438
title: WMLES of channel and flat-plate TBL flow on unstructured grids

description: Simulation results and OpenFOAM case files from wall-modelled LES of turbulent channel flow and flat-plate turbulent boundary layer flow. This dataset accompanies the following paper, please cite it if you make use of the data:<br>Mukha, T., Bensow, R.E., Liefvendahl, M., 2021. Predictive accuracy of wall-modelled large-eddy simulation on unstructured grids. Comput. Fluids 221, 104885. https://doi.org/10.1016/j.compfluid.2021.104885<br><br>The contents are divided into zip files with the channel_ and tbl_ prefixes, corresponding the two considered flow cases. A short description of the contetns of each file follows<br>- tbl_tri, tbl_quad, tbl_poly contain the 3 TBL OpenFOAM cases including full 3D data. Spanwise-averaged data is also provided for each case as a .vtm file.- tbl_probes contains sampled probe data from TBL simulations.- tbl_time_spectra contains the time spectra computed based on the probe data- tbl_extracted_data contains U0 and theta values extracted from the spanwise-averaged TBL data.- channel_15, channel_20, channel_25, channel_30 each contain 4 OpenFOAM channel flow cases: tri, hex, poly and poly-hybrid grid, respectively. Full 3D data is provided.- channel_averaged contains hdf5 files with time and spatially averaged channel flow results.- channel_probes contains probe data from channel flow simulations.<br>- channel_time_spectra contains time spectra computed based on the probe data-<br>