cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.21707960.v1
title: data_annotated_locations;code_data_processing_and_SSFs from Experience does not change the importance of wind support for migratory route selection by a soaring bird

description: Migration is a complex behaviour that is costly in terms of time, energy and risk of mortality. Thermal soaring birds rely on airflow, specifically wind support and uplift, to offset their energetic costs of flight. Their migratory routes are a record of movement decisions to negotiate the atmospheric environment and achieve efficiency. We expected that, regardless of age, birds use wind support to select their routes. Because thermal soaring is a complex flight behaviour that young birds need to learn, we expected that, as individuals gain more experience, their movement decisions will also increasingly favour the best thermal uplift conditions. We quantified how route choice during autumn migration of young European honey buzzards (<i>Pernis apivorus</i>) was adjusted to wind support and uplift over up to 4 years of migration and compared this to the choices of adult birds. We found that wind support was important in all migrations. However, we did not find an increase in the use of thermal uplifts. This could be due to the species-specific learning period and/or an artefact of the spatio-temporal scale of our uplift proxies.
DOI: 10.6084/m9.figshare.21707963
title: Raw data upon which Figure 2 is based from Major evolutionary transitions in individuality between humans and AI

description: That humans might undergo future evolutionary transitions in individuality (ETIs) seems fanciful. However, drawing upon recent thinking concerning the origins of properties that underpin ETIs, I argue that certain ETIs are imminently realizable. Central to my argument is recognition that heritable variance in fitness at higher levels of organization can be externally imposed (scaffolded) by specific ecological structures and cultural practices. While ETIs to eusociality seem highly improbable, ETIs involving symbioses between humans and artificial intelligence (AI) can be readily envisaged. A necessary requirement is that fitness-affecting interactions between humans and AI devices are inherited by offspring. The Mendelian nature of human reproduction ensures that offspring resemble parents. Reproduction of AI devices requires nothing more than transference of algorithms from parental AI devices to devices that are assigned to offspring. This simple copying, combined with societal structures that require humans to carry AI devices, ensures heritable variance in fitness at the level of both interacting partners. Selection at the collective level will drive alignment of replicative fates and increase co-dependency thus alleviating need for continual imposition of externally imposed scaffolds. I conclude by drawing attention to the immediacy of such transitions and express concern over possibilities for malevolent manipulation.This article is part of the theme issue ‘Human socio-cultural evolution in light of evolutionary transitions’.
DOI: 10.6084/m9.figshare.21707963.v1
title: Raw data upon which Figure 2 is based from Major evolutionary transitions in individuality between humans and AI

description: That humans might undergo future evolutionary transitions in individuality (ETIs) seems fanciful. However, drawing upon recent thinking concerning the origins of properties that underpin ETIs, I argue that certain ETIs are imminently realizable. Central to my argument is recognition that heritable variance in fitness at higher levels of organization can be externally imposed (scaffolded) by specific ecological structures and cultural practices. While ETIs to eusociality seem highly improbable, ETIs involving symbioses between humans and artificial intelligence (AI) can be readily envisaged. A necessary requirement is that fitness-affecting interactions between humans and AI devices are inherited by offspring. The Mendelian nature of human reproduction ensures that offspring resemble parents. Reproduction of AI devices requires nothing more than transference of algorithms from parental AI devices to devices that are assigned to offspring. This simple copying, combined with societal structures that require humans to carry AI devices, ensures heritable variance in fitness at the level of both interacting partners. Selection at the collective level will drive alignment of replicative fates and increase co-dependency thus alleviating need for continual imposition of externally imposed scaffolds. I conclude by drawing attention to the immediacy of such transitions and express concern over possibilities for malevolent manipulation.This article is part of the theme issue ‘Human socio-cultural evolution in light of evolutionary transitions’.
DOI: 10.34740/kaggle/dsv/4708932
title: ECB speeches etc. 1997 to 2022-12-11
DOI: 10.3886/e183044v1-131243
title: Burnout_COVID

description: <b>Objectives:</b> Healthcare personnel have faced unprecedented mental health challenges during the COVID-19 pandemic. The study objective is to assess differences in depression, anxiety, and burnout among healthcare personnel with various occupational roles and whether financial and job strain were associated with these mental health outcomes. <b>Methods: </b>We employed<b> </b>an anonymous survey between July and August 2020 at an urban county hospital in California, USA. We assessed depression, anxiety, and burnout using validated scales, and asked questions on financial strain and job strain. We performed logistic and linear regression analyses. <b>Results:</b> Nurses (aOR 1.93, 95% CIs 1.12, 3.46), social workers (aOR 2.61, 95% CIs 1.35, 5.17), service workers (aOR 2.55, 95% CIs 1.20, 5.48), and administrative workers (aOR 2.93, 95% CIs 1.57, 5.61) were more likely than physicians to screen positive for depression. The odds of screening positive for anxiety were significantly lower for ancillary workers (aOR 0.32, 95% CIs 0.13–0.72) compared with physicians. Ancillary (aB = -1.77, 95% CIs -1.88, -0.47) and laboratory and pharmacy workers (aB -0.70, 95% CI -1.34, -0.06) reported lower levels of burnout compared with physicians. Financial strain partially accounted for differences in mental health outcomes across job categories. Lack of time to complete tasks and lack of supervisory support were associated with higher odds of screening positive for depression. Less job autonomy was associated with higher odds of screening positive for anxiety and higher burnout levels. <b>Conclusions:</b> We found significant disparities in mental health outcomes across occupational roles. Policies to mitigate the adverse impact of COVID-19 on health workers’ mental health should include non-clinical staff and address financial support and job characteristics for all occupational roles.
DOI: 10.5281/zenodo.7425191
title: Photonic circuit integrated Ti:Sa laser

description: Dataset for the publication "Photonic circuit integrated Ti:Sa laser"
DOI: 10.5281/zenodo.7425190
title: Photonic circuit integrated Ti:Sa laser

description: Dataset for the publication "Photonic circuit integrated Ti:Sa laser"
DOI: 10.5281/zenodo.7420823
title: Infograma trabalho científico sobre acessibilidade

description: Este painel é o resumo dos dados obtidos na pesquisa realizada com o termo de busca "acessibilidade" na base de pesquisa SCORPUS . Os estudos datam de 2012 a 2022.
DOI: 10.5281/zenodo.7420822
title: Infograma trabalho científico sobre acessibilidade

description: Este painel é o resumo dos dados obtidos na pesquisa realizada com o termo de busca "acessibilidade" na base de pesquisa SCORPUS . Os estudos datam de 2012 a 2022.
DOI: 10.34740/kaggle/dsv/4709115
title: Egypt Gold Prices | Daily Updated
DOI: 10.6084/m9.figshare.21708038
title: Infograma trabalho científico sobre acessibilidade

description: <strong>Este painel é o resumo dos dados obtidos na pesquisa</strong> <strong>realizada com o termo de busca "acessibilidade" na base</strong> <strong>de pesquisa SCORPUS . Os estudos datam de 2012 a 2022.</strong>
DOI: 10.6084/m9.figshare.21708038.v1
title: Infograma trabalho científico sobre acessibilidade

description: <strong>Este painel é o resumo dos dados obtidos na pesquisa</strong> <strong>realizada com o termo de busca "acessibilidade" na base</strong> <strong>de pesquisa SCORPUS . Os estudos datam de 2012 a 2022.</strong>
DOI: 10.5517/ccdc.csd.cc1l9kr6
title: CCDC 1468958: Experimental Crystal Structure Determination

description: Related Article: Thangavel Thirunavukkarasu, Eswaran Ramachandran, Karuppannan Natarajan, Hazel A. Sparkes, Saud I. Al-Resayes, Mohammad Azam|2023|Polyhedron|230|116207|doi:10.1016/j.poly.2022.116207
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.cc1z3ynp
title: CCDC 1821053: Experimental Crystal Structure Determination

description: Related Article: Thangavel Thirunavukkarasu, Eswaran Ramachandran, Karuppannan Natarajan, Hazel A. Sparkes, Saud I. Al-Resayes, Mohammad Azam|2023|Polyhedron|230|116207|doi:10.1016/j.poly.2022.116207
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.cc2547q9
title: CCDC 2000080: Experimental Crystal Structure Determination

description: Related Article: Guangxu Lan, Yingjie Fan, Wenjie Shi, Eric You, Samuel S. Veroneau, Wenbin Lin|2022|Nat. Catal.|5|1006|doi:10.1038/s41929-022-00865-5
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: 10.5519/qd.abw10gpc
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (1368134 records)
DOI: 10.5517/ccdc.csd.cc2brpxq
title: CCDC 2167734: Experimental Crystal Structure Determination

description: Related Article: Chhatan Das, Vishwas D. Patel, Dhritiman Gupta, Partha Mahata|2022|Cryst.Growth Des.|22|7050|doi:10.1021/acs.cgd.2c00701
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.cc2c9y9y
title: CCDC 2184300: Experimental Crystal Structure Determination

description: Related Article: Pritam Roy, Anugam V. Krishna, Dhevalapally B. Ramachary|2022|J.Org.Chem.|87|16026|doi:10.1021/acs.joc.2c02164
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.cc2c9ybz
title: CCDC 2184301: Experimental Crystal Structure Determination

description: Related Article: Pritam Roy, Anugam V. Krishna, Dhevalapally B. Ramachary|2022|J.Org.Chem.|87|16026|doi:10.1021/acs.joc.2c02164
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.cc2c9yc0
title: CCDC 2184302: Experimental Crystal Structure Determination

description: Related Article: Pritam Roy, Anugam V. Krishna, Dhevalapally B. Ramachary|2022|J.Org.Chem.|87|16026|doi:10.1021/acs.joc.2c02164
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.cc2c9yd1
title: CCDC 2184303: Experimental Crystal Structure Determination

description: Related Article: Pritam Roy, Anugam V. Krishna, Dhevalapally B. Ramachary|2022|J.Org.Chem.|87|16026|doi:10.1021/acs.joc.2c02164
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: 10.5519/qd.v90xipmz
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (7639 records)
DOI: 10.6084/m9.figshare.3761562.v2422
title: Online Labour Index: Measuring the Online Gig Economy for Policy and Research

description: Data repository for the data underlying the Online Labour Index. See http://ilabour.oii.ox.ac.uk online-labour-index/ for details.
DOI: 10.5281/zenodo.5711852
title: A curated database of fungal pathogens and their host range

description: This database contains a manually curated set of human, animal and plant pathogens, annotated with their confirmed host range and relevant sources. In addition to that, we include additional sets of plant-associated fungi (which may include non-pathogens), as well as fungi with an automatically assigned, putative human, animal or plant host. The labelled fungal species are linked to their representative GenBank genomes wherever possible. Genomes that were screened, but no label was found, are also included.<br> <br> The database is stored in a flat-file format. All metadata are stored in all_data.csv, and all_data.rds contains the same data in a compressed format that can be easily loaded in R. The core database is limited to manually confirmed human, animal and plant pathogens with available genomes as of 9 Oct 2021. Those data are a subset of all_data, and are stored in core_fungal_pathogens.csv and core_fungal_pathogens.rds. You may also be interested in trained neural network models predicting pathogenic potentials of novel fungi from DNA sequences (https://zenodo.org/record/5711877) and simulated Illumina read sets used to train them (https://zenodo.org/record/5713153).<br> <br> See also the preprint: https://www.biorxiv.org/content/10.1101/2021.11.30.470625v1
DOI: 10.5281/zenodo.5711851
title: A curated database of fungal pathogens and their host range

description: This database contains a manually curated set of human, animal and plant pathogens, annotated with their confirmed host range and relevant sources. In addition to that, we include additional sets of plant-associated fungi (which may include non-pathogens), as well as fungi with an automatically assigned, putative human, animal or plant host. The labelled fungal species are linked to their representative GenBank genomes wherever possible. Genomes that were screened, but no label was found, are also included. <strong>[Last update on: 11 Dec 2022]</strong><br> [Home page: https://dacs-hpi.gitlab.io/pathogenic-fungi/]<br> <br> The database is stored in a flat-file format. All metadata are stored in all_data_[date].csv, and all_data_[date].rds contains the same data in a compressed format that can be easily loaded in R. The database was first compiled on 9 Oct 2021 (v1.0), and then updated on 2 Jan 2022 (v1.1) and 11 Dec 2022 (v1.2). The core database is limited to manually confirmed human, animal and plant pathogens with available genomes as of 9 Oct 2021. Those data are a subset of all_data, and are stored in core_fungal_pathogens.csv and core_fungal_pathogens.rds. The temporal-test subset contains confirmed pathogens with genomes added to GenBank between 9 Oct 2021 and 2 Jan 2022. You may also be interested in trained neural network models predicting pathogenic potentials of novel fungi from DNA sequences (https://zenodo.org/record/5711877) and simulated Illumina read sets used to train them (https://zenodo.org/record/5846397).<br> <br> See also the preprint: https://www.biorxiv.org/content/10.1101/2021.11.30.470625 and <strong>the paper</strong> presented at ECCB '22 and published in <em>Bioinformatics:</em> https://doi.org/10.1093/bioinformatics/btac495.
DOI: 10.5281/zenodo.5846345
title: A curated database of fungal pathogens and their host range

description: This database contains a manually curated set of human, animal and plant pathogens, annotated with their confirmed host range and relevant sources. In addition to that, we include additional sets of plant-associated fungi (which may include non-pathogens), as well as fungi with an automatically assigned, putative human, animal or plant host. The labelled fungal species are linked to their representative GenBank genomes wherever possible. Genomes that were screened, but no label was found, are also included.<br> <br> The database is stored in a flat-file format. All metadata are stored in all_data_[date].csv, and all_data_[date].rds contains the same data in a compressed format that can be easily loaded in R. The database was first compiled on 9 Oct 2021 (v1.0), and then updated on 2 Jan 2022 (v1.1). The core database is limited to manually confirmed human, animal and plant pathogens with available genomes as of 9 Oct 2021. Those data are a subset of all_data, and are stored in core_fungal_pathogens.csv and core_fungal_pathogens.rds. The temporal-test subset contains confirmed pathogens with genomes added to GenBank between 9 Oct 2021 and 2 Jan 2022. You may also be interested in trained neural network models predicting pathogenic potentials of novel fungi from DNA sequences (https://zenodo.org/record/5711877) and simulated Illumina read sets used to train them (https://zenodo.org/record/5846397).<br> <br> See also the preprint: https://www.biorxiv.org/content/10.1101/2021.11.30.470625
DOI: 10.5281/zenodo.7425539
title: A curated database of fungal pathogens and their host range

description: This database contains a manually curated set of human, animal and plant pathogens, annotated with their confirmed host range and relevant sources. In addition to that, we include additional sets of plant-associated fungi (which may include non-pathogens), as well as fungi with an automatically assigned, putative human, animal or plant host. The labelled fungal species are linked to their representative GenBank genomes wherever possible. Genomes that were screened, but no label was found, are also included. <strong>[Last update on: 11 Dec 2022]</strong><br> [Home page: https://dacs-hpi.gitlab.io/pathogenic-fungi/]<br> <br> The database is stored in a flat-file format. All metadata are stored in all_data_[date].csv, and all_data_[date].rds contains the same data in a compressed format that can be easily loaded in R. The database was first compiled on 9 Oct 2021 (v1.0), and then updated on 2 Jan 2022 (v1.1) and 11 Dec 2022 (v1.2). The core database is limited to manually confirmed human, animal and plant pathogens with available genomes as of 9 Oct 2021. Those data are a subset of all_data, and are stored in core_fungal_pathogens.csv and core_fungal_pathogens.rds. The temporal-test subset contains confirmed pathogens with genomes added to GenBank between 9 Oct 2021 and 2 Jan 2022. You may also be interested in trained neural network models predicting pathogenic potentials of novel fungi from DNA sequences (https://zenodo.org/record/5711877) and simulated Illumina read sets used to train them (https://zenodo.org/record/5846397).<br> <br> See also the preprint: https://www.biorxiv.org/content/10.1101/2021.11.30.470625 and <strong>the paper</strong> presented at ECCB '22 and published in <em>Bioinformatics:</em> https://doi.org/10.1093/bioinformatics/btac495.
DOI: 10.5281/zenodo.7425489
title: JuVer Contract Corpus

description: This corpus consists of 2110 PDF Files and 2110 XML files with the text extracted from the PDF files. All PDF files are contracts in German publically available on the internet. Most of these contracts are from the city governments of Hamburg and Bremen and were collected from the websites http://suche.transparenz.hamburg.de/dataset?q=vertrag&esq_title=&check_all_ and https://www.transparenz.bremen.de. In the XML files the texts are segmented into sentences. Each sentence also has some additional information on the freuency of use in the corpus. The root of each XML file is the element <em>document</em>, that has a referece to the original PDF in an attribute. A document is divided into pages. Pages then consists of the elements <em>heading </em>and <em>sentence</em>. Each sentence has two identifiers, sid for the sentece and cid for the cluster it belongs to. Sentenecs with the same sentence identifier are identical. Sentences with the same cluster identifier are very similar but not necessarily identical. Sentences were clustered with single link clustering based on trigram (character) overlap. The corpus consists of 106,539 (non-unique) sentences and 3,635,371 tokens, including interpunction.
description: Funded by Volkswagen Stiftung. (https://portal.volkswagenstiftung.de/search/projectPDF.do?projectId=9322)
description: {"references": ["JOSI, Frieda; WARTENA, Christian; HEID, Ulrich. Preparing Legal Documents for NLP Analysis: Improving the Classification of Text Elements by Using Page Features. In: Computer Science & Information Technology (CS & IT). AIRCC Publishing Corporation, 2022. p. 17-29. https://doi.org/10.5121/csit.2022.120102", "JOSI, Frieda; WARTENA, Christian; HEID, Ulrich. Generalisierung von formelhaften Textbestandteilen in juristischen Korpora: Einsatz-und Entwicklungspotential. In: Jusletter IT-Tagungsband IRIS 2022. weblaw. ch, 2022. p. 325-336. https://doi.org/10.38023/82f7a587-e1e9-49b3-8f1f-21fd97d93b19", "JOSI, Frieda; WARTENA, Christian; HEID, Ulrich. Representing Standard Text Formulations as Directed Graphs. In: International Conference on Document Analysis and Recognition. Springer, Cham, 2021. p. 475-487. https://doi.org/10.1007/978-3-030-86159-9_34"]}