cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.7980674
title: Degradation by brown rot fungi increases the hygroscopicity of heat-treated wood

description: This dataset contains measurement data from the following publication: Belt, T.; Altgen, M.; Awais, M.; Nopens, M.; Rautkari, L. (2023) Degradation by brown rot fungi increases the hygroscopicity of heat-treated wood. International Biodeterioration & Biodegradation, 186:105690. DOI:10.1016/j.ibiod.2023.105690. Scots pine sapwood samples were heat-treated under superheated steam and then exposed to brown rot decay by <em>Coniophora puteana</em> and <em>Rhodonia placenta </em>in a stacked-sample decay test, after which a subset of samples was selected for sorption isotherm measurements and near infrared (NIR) imaging. Further details on the experimental procedures can be found in the publication. The "Sample IDs and mass data.csv" -file contains the sample IDs and all measured mass data for every sample. Masses m0, m1, m2, and m3 are the masses of the samples in the dry state before modification, in the dry state after modification and leaching, in the wet state at the end of the decay test, and in the dry state after the decay test, respectively. The "Sorption measurements_C puteana.xlsx" and "Sorption measurements_R placenta.xlsx" files contain the sorption measurement data collected from samples degraded by <em>C. puteana</em> and <em>R. placenta</em>, respectively. Each tab in the files shows the mass data recorded for a given sample over the sorption measurement sequence. The "NIR spectra.csv" -file contains the unprocessed average NIR spectra extracted from the NIR images. Details on the extraction of average spectra from the images can be found in the publication.
DOI: 10.5281/zenodo.8398899
title: Base de Dados de VOSviewer - Nanocelulose - Tese de Doutorado - USP /IPEN

description: A base de dados do VOSviewer utilizada na Tese de Doutorado da USP/IPEN desempenhou um papel fundamental na pesquisa sobre nanocelulose. Essa base de dados foi meticulosamente compilada e abrangeu uma ampla variedade de informações bibliométricas e conceituais relevantes para o campo da nanocelulose. Por meio do VOSviewer, foi possível realizar uma análise detalhada da quantidade de publicações, frequência de citações, colaborações internacionais, instituições e autores de destaque nesse campo de estudo. Além disso, a ferramenta facilitou a identificação de tendências emergentes e temas de pesquisa em ascensão, proporcionando uma visão abrangente do desenvolvimento e das futuras direções da pesquisa em nanocelulose. Essa base de dados e a análise conduzida por meio do VOSviewer desempenharam um papel crucial na Tese de Doutorado da USP/IPEN, fornecendo uma base sólida e informada sobre as pesquisas existentes relacionadas à nanocelulose. Ela contribuiu significativamente para a compreensão aprofundada desse material versátil e sustentável e apoiou a criação de uma ontologia específica para representar estruturalmente o conhecimento nesse campo multidisciplinar.
DOI: 10.5281/zenodo.8398898
title: Base de Dados de VOSviewer - Nanocelulose - Tese de Doutorado - USP /IPEN

description: A base de dados do VOSviewer utilizada na Tese de Doutorado da USP/IPEN desempenhou um papel fundamental na pesquisa sobre nanocelulose. Essa base de dados foi meticulosamente compilada e abrangeu uma ampla variedade de informações bibliométricas e conceituais relevantes para o campo da nanocelulose. Por meio do VOSviewer, foi possível realizar uma análise detalhada da quantidade de publicações, frequência de citações, colaborações internacionais, instituições e autores de destaque nesse campo de estudo. Além disso, a ferramenta facilitou a identificação de tendências emergentes e temas de pesquisa em ascensão, proporcionando uma visão abrangente do desenvolvimento e das futuras direções da pesquisa em nanocelulose. Essa base de dados e a análise conduzida por meio do VOSviewer desempenharam um papel crucial na Tese de Doutorado da USP/IPEN, fornecendo uma base sólida e informada sobre as pesquisas existentes relacionadas à nanocelulose. Ela contribuiu significativamente para a compreensão aprofundada desse material versátil e sustentável e apoiou a criação de uma ontologia específica para representar estruturalmente o conhecimento nesse campo multidisciplinar.
DOI: 10.6073/pasta/cef1cb9b1d85a713c7704b6fd478a2e5
title: Using Phenology to Forecast Species Distributions across the Eastern United States in the 2070s

description: Studies that use species distribution models (SDMs) to document the relationship between species’ geographic range and environmental conditions rarely consider functional traits, such as phenology, that strongly affect species’ demography and fitness. Using more than 120,000 herbarium specimens representing 360 plant species across the eastern United States, we created a novel “phenology-informed” SDM that integrates dynamic phenological responses to changing climates. Compared to standard SDMs based only on abiotic variables, our phenology-informed SDMs forecast significantly lower species habitat loss, and less species turnover within communities under climate change. These results suggest that phenotypic plasticity and/or local adaptation in phenology may help many species adjust their ecological niches and persist in their habitats during periods of rapid environmental change. By modeling historical data that link phenology, climate and species distributions, our findings reveal how species’ reproductive phenology mediates their geographic distributions along environmental gradients and affect regional biodiversity patterns under future climate changes. More importantly, our newly developed model also circumvents the need for mechanistic models that explicitly link traits to occurrences for each species, and could thus facilitate the deployment of trait-based SDMs across unprecedented spatial and taxonomic scales.
DOI: 10.13120/7f2da2d4-3e14-4925-804e-d6b12e240f3a
title: European beach litter standardized, harmonized and validated datasets 2001/2022 v2023
title: European_beach_litter_standardized_harmonized_validated_datasets_ 2001/2022_v2023

description: EMODnet Chemistry aims to provide access to marine chemistry data sets and derived data products concerning eutrophication, ocean acidification, contaminants and litter. The chosen parameters are relevant for the Marine Strategy Framework Directive (MSFD), in particular for descriptors 5, 8, 9 and 10. The dataset contains standardized, harmonized and validated data collections from beach litter (monitoring and other sources). Datasets concerning beach and seafloor litter data are loaded in a central database after a semi-automated validation phase. Once loaded, a data assessment is performed in order to check data consistency and potential errors are corrected thanks to a feedback loop with data originators. For beach litter, the harmonized datasets contain all unrestricted EMODnet Chemistry data on beach litter, including monitoring data, data from cleaning surveys and data from research. A relevant part of the monitoring data has been considered for assessment purposes by the European institutions and therefore is tagged as MSFD_monitoring. EMODnet beach litter data and databases are hosted and maintained by 'Istituto Nazionale di Oceanografia e di Geofisica Sperimentale, Division of Oceanography (OGS/NODC)' from Italy. Data are formatted following Guidelines and forms for gathering marine litter data, which can be found at: https://doi.org/10.6092/15c0d34c-a01a-4091-91ac-7c4f561ab508. The updated vocabularies of admitted values are available in https://nodc.ogs.it/marinelitter/vocab. The harmonized datasets can be downloaded as EMODnet Beach litter data format Version 7.0, which is a spreadsheet file composed of 4 sheets: beach metadata, survey metadata, animals and litter.
DOI: 10.6084/m9.figshare.24230734
title: Differentially represented ASVs identified with ALDEx2

description: Sets of differentially abundant ASVs identified using ALDEx2 in each experimental variant described in Golebiewski et al. "<b>Colonization of axenic beet by rhizosphere bacteria takes place in discreet phases regardless of bioinculation with next generation bioinoculant</b>". Files are in the tsv (tab separated values) format. Experimental variants are contained in file names in the form of S/R/L.S1/S2.B/C/M.early/late, e.g. S.S1.B.late. S - soil samples, R - roots, L - leaves; S1 - soil 1, S2 - soil 2; B - genotype B (<i>B</i><i>eta vulgaris</i> ssp. <i>vulgaris</i> cv. 'Bravo'), C - genotype C (<i>B. vulgaris</i> ssp. <i>vulgaris</i> cv. 'Casino'), M - genotype M (<i>B. vulgaris</i> ssp. <i>maritima</i>); early - early status, late - late status. Name of the variable defining compared groups is included in filenames after an underscore, e.g. _Inoculation.
DOI: 10.13120/d98b57be-e6b5-4081-9464-da773d3209b9
title: European seafloor litter standardized, harmonized and validated datasets 2006/2022 v2023
title: European_seafloor_litter_standardized_harmonized_validated_datasets_ 2006/2022_v2023

description: EMODnet Chemistry aims to provide access to marine chemistry data sets and derived data products concerning eutrophication, ocean acidification, contaminants and litter. The chosen parameters are relevant for the Marine Strategy Framework Directive (MSFD), in particular for descriptors 5, 8, 9 and 10. The datasets contain standardized, harmonized and validated data collections from seafloor litter. Datasets concerning seafloor litter data are loaded in a central database after a semi-automated validation phase. Once loaded, a data assessment is performed in order to check data consistency and potential errors are corrected thanks to a feedback loop with data originators. EMODnet seafloor litter data and database are hosted and maintained by ‘Istituto Nazionale di Oceanografia e di Geofisica Sperimentale, Division of Oceanography (OGS/NODC)’ from Italy. For seafloor litter, the harmonized datasets contain all unrestricted EMODnet Chemistry data on seafloor litter data. Data are formatted following Guidelines and forms for gathering marine litter data, which can be found at: https://dx.doi.org/10.6092/15c0d34c-a01a-4091-91ac-7c4f561ab508. The updated vocabularies of admitted values are available at https://vocab.seadatanet.org/search or at https://vocab.ices.dk/ . The harmonized datasets can be downloaded as EMODnet Sea-floor litter data format version 1.0, which is a csv file, tab separated values.
DOI: 10.5281/zenodo.8399090
title: Base de Dados de VOSviewer - Energia Nuclear- Tese de Doutorado - USP /IPEN

description: A base de dados do VOSviewer desempenhou um papel fundamental na Tese de Doutorado realizada na USP/IPEN no campo da energia nuclear. Essa base de dados abrangeu uma ampla gama de informações bibliométricas e conceituais relacionadas à energia nuclear, proporcionando uma visão abrangente do estado da pesquisa nesse campo. Por meio do VOSviewer, foi possível realizar análises detalhadas sobre a quantidade de publicações, frequência de citações, colaborações internacionais, instituições e autores de destaque na área da energia nuclear. Isso permitiu aos pesquisadores identificar tendências, lacunas de pesquisa e áreas emergentes de interesse. Essa base de dados foi essencial para orientar a pesquisa da tese, fornecendo informações valiosas sobre o panorama atual da pesquisa em energia nuclear. Além disso, auxiliou na criação de uma ontologia específica para representar estruturalmente o conhecimento nesse campo multidisciplinar, promovendo uma compreensão mais profunda e uma gestão mais eficaz das informações relacionadas à energia nuclear.
DOI: 10.5281/zenodo.8399089
title: Base de Dados de VOSviewer - Energia Nuclear- Tese de Doutorado - USP /IPEN

description: A base de dados do VOSviewer desempenhou um papel fundamental na Tese de Doutorado realizada na USP/IPEN no campo da energia nuclear. Essa base de dados abrangeu uma ampla gama de informações bibliométricas e conceituais relacionadas à energia nuclear, proporcionando uma visão abrangente do estado da pesquisa nesse campo. Por meio do VOSviewer, foi possível realizar análises detalhadas sobre a quantidade de publicações, frequência de citações, colaborações internacionais, instituições e autores de destaque na área da energia nuclear. Isso permitiu aos pesquisadores identificar tendências, lacunas de pesquisa e áreas emergentes de interesse. Essa base de dados foi essencial para orientar a pesquisa da tese, fornecendo informações valiosas sobre o panorama atual da pesquisa em energia nuclear. Além disso, auxiliou na criação de uma ontologia específica para representar estruturalmente o conhecimento nesse campo multidisciplinar, promovendo uma compreensão mais profunda e uma gestão mais eficaz das informações relacionadas à energia nuclear.
DOI: 10.5281/zenodo.8398866
title: Base de Dados de VOSviewer - Graphene- Tese de Doutorado - USP /IPEN

description: A base de dados do VOSviewer utilizada na Tese de Doutorado da USP/IPEN é uma ferramenta essencial para a pesquisa e análise de informações relacionadas ao grafeno. Essa base de dados foi cuidadosamente compilada e abrangeu uma ampla gama de dados bibliométricos e conceituais relevantes para o campo do grafeno. O VOSviewer possibilitou uma análise detalhada da quantidade de publicações, frequência de citações, colaborações internacionais, instituições e autores de destaque nesse campo de estudo. Além disso, a ferramenta permitiu a identificação de tendências emergentes e temas de pesquisa em ascensão, oferecendo uma compreensão abrangente do desenvolvimento e das direções futuras da pesquisa em grafeno. Essa base de dados e a análise conduzida por meio do VOSviewer desempenharam um papel fundamental na Tese de Doutorado da USP/IPEN, fornecendo uma base sólida e embasada nas pesquisas existentes sobre o grafeno. Ela contribuiu para a compreensão aprofundada desse material inovador e apoiou a criação de uma ontologia específica para representar de maneira estruturada o conhecimento nesse campo de estudo multidisciplinar.
DOI: 10.5281/zenodo.8398865
title: Base de Dados de VOSviewer - Graphene- Tese de Doutorado - USP /IPEN

description: A base de dados do VOSviewer utilizada na Tese de Doutorado da USP/IPEN é uma ferramenta essencial para a pesquisa e análise de informações relacionadas ao grafeno. Essa base de dados foi cuidadosamente compilada e abrangeu uma ampla gama de dados bibliométricos e conceituais relevantes para o campo do grafeno. O VOSviewer possibilitou uma análise detalhada da quantidade de publicações, frequência de citações, colaborações internacionais, instituições e autores de destaque nesse campo de estudo. Além disso, a ferramenta permitiu a identificação de tendências emergentes e temas de pesquisa em ascensão, oferecendo uma compreensão abrangente do desenvolvimento e das direções futuras da pesquisa em grafeno. Essa base de dados e a análise conduzida por meio do VOSviewer desempenharam um papel fundamental na Tese de Doutorado da USP/IPEN, fornecendo uma base sólida e embasada nas pesquisas existentes sobre o grafeno. Ela contribuiu para a compreensão aprofundada desse material inovador e apoiou a criação de uma ontologia específica para representar de maneira estruturada o conhecimento nesse campo de estudo multidisciplinar.
DOI: 10.14473/csda/cifr0h/hlooq4
title: D_CSDA00172.pdf

description: Dotazník CT: Trendy Ceska 2014 1.vlna
DOI: 10.14473/csda/cifr0h/mbpnph
title: 1. vlna - unor 2014 TC_data_opr.tab

description: Data CT: Trendy Ceska 2014 1.vlna
DOI: 10.14473/csda/cifr0h/96rnpk
title: TI_CSDA00172-CSDA00180.pdf

description: Technická informace
DOI: 10.5519/qd.boag5rem
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (45 records)
DOI: 10.3886/e194102v1
title: CHFS

description: The data from the Survey and Research center for China Household Finance.
DOI: 10.5281/zenodo.7627915
title: C. elegans image stacks at L1 stage with completely resolved cell identities

description: Each image stack presented as zip file. Once decompressed, each folder contain '.ano' linker file, straightening C. elegans L1 images file, the segmentation mask image file and the cell annotation file. The image files are stored in Peng Hanchuan RAW/TIFF format, and the cell annotation file is stored in simple comma separated values format. To visualize the image stack data, drag the '.ano' linker file to VANO interface. vano_win32_1.741.zip contains VANO for worm visualization.
DOI: 10.6084/m9.figshare.24230824
title: Data sub_study 2.xlsx

description: Group Delphi study for relevant educational content (Molecular biology)
DOI: 10.6084/m9.figshare.24230824.v1
title: Data sub_study 2.xlsx

description: Group Delphi study for relevant educational content (Molecular biology)
DOI: 10.6084/m9.figshare.24230839
title: Data sub_study A_Transcripts.docx

description: Interviews with teachers about challenges teaching molecular biology
DOI: 10.6084/m9.figshare.24230839.v1
title: Data sub_study A_Transcripts.docx

description: Interviews with teachers about challenges teaching molecular biology
DOI: 10.6084/m9.figshare.24230794
title: Data sub_study C.xlsx

description: Online questionnaire with teachers about their knowledge and self-efficacy for teaching molecular biology.
DOI: 10.6084/m9.figshare.24230794.v1
title: Data sub_study C.xlsx

description: Online questionnaire with teachers about their knowledge and self-efficacy for teaching molecular biology.
DOI: 10.23719/1529584
title: National Lakes Assessment 2012 Datafiles for Report “National Lakes Assessment 2012: A collaborative survey of lakes in the United States"

description: National Lakes Assessment 2012 Datafiles for Report “National Lakes Assessment 2012: A Collaborative Survey of lakes in the United States”: The National Lakes Assessment (NLA) is a statistical survey of the condition of our nation's lakes, ponds, and reservoirs. It is designed to provide information on the extent of lakes that support healthy biological condition and recreation, estimate how widespread major stressors are that impact lake quality, and provide insight into whether lakes nationwide are getting cleaner. 

This dataset is an archived (zipped) file comprised of chemical, physical and biological files used in developing the NLA 2012 report. Sampling was conducted in the summer of 2012 at approximately 1000 sites in the conterminous U.S. Sites were selected using a statistical survey (probabilistic) design. The files include water chemistry, profile data, benthic macroinvertebrates, physical habitat, landscape metrics, phytoplankton data, secchi depth, data, tropic status, zooplankton, etc. Users are encouraged to visit the NARS data webpage for updates to data files (e.g., for example updated zooplankton files) and data from other surveys. https://www.epa.gov/national-aquatic-resource-surveys/data-national-aquatic-resource-surveys 

Citation for the NLA 2012 archived data: U.S. Environmental Protection Agency. National Aquatic Resource Surveys. National Lakes Assessment 2012 Report. Archived Data. (INSERT data and metadata files used). Available from U.S. EPA web page: https://www.epa.gov/national-aquatic-resource-surveys/national-results-and-regional-highlights-national-lakes. DOI: 10.23719/1529584 

EPA encourages users who are publishing subsets of the data (say as part of a journal article publication) to include the above citation. EPA also encourages users of the data to include the following acknowledgement: “The National Lakes Assessment 2012 data were a result of the collective efforts of dedicated field crews, laboratory staff, data management and quality control staff, analysts and many others from EPA, states, tribes, federal agencies, universities, and other organizations. Please contact nars-hq@epa.gov with any questions.” 

Additional information: NLA is part of the National Aquatic Resource Surveys, an EPA/State/Tribal partnership. The National Aquatic Resource Surveys (NARS) are statistical surveys designed to assess the status of and changes in quality of the nation’s coastal waters, lakes and reservoirs, rivers and streams, and wetlands. Using sample sites selected at random, these surveys provide a snapshot of the overall condition of the nation’s water. Because the surveys use standardized field and lab methods, we can compare results from different parts of the country and between years.
DOI: 10.23719/1529585
title: National Lakes Assessment 2017 Datafiles for Report “National Lakes Assessment 2017:  The third collaborative survey of lakes in the United States"

description: The National Lakes Assessment (NLA) is a statistical survey of the condition of our nation's lakes, ponds, and reservoirs. It is designed to provide information on the extent of lakes that support healthy biological condition and recreation, estimate how widespread major stressors are that impact lake quality, and provide insight into whether lakes nationwide are getting cleaner. 

This dataset is an archived (zipped) file comprised of chemical, physical and biological files used in developing the NLA 2017 report. Sampling was conducted in the summer of 2017 at approximately 1000 sites in the conterminous U.S. Sites were selected using a statistical survey (probabilistic) design. The files include water chemistry, profile data, benthic macroinvertebrates, physical habitat, landscape metrics, phytoplankton data, secchi depth, data, tropic status, zooplankton, etc. Users are encouraged to visit the NARS data webpage for updates to data files (e.g., for example updated zooplankton files) and data from other surveys. https://www.epa.gov/national-aquatic-resource-surveys/data-national-aquatic-resource-surveys 

Citation for the NLA 2017 archived data: U.S. Environmental Protection Agency. National Aquatic Resource Surveys. National Lakes Assessment 2017 Report. Archived Data. (INSERT data and metadata files used). Available from U.S. EPA web page: https://www.epa.gov/national-aquatic-resource-surveys/reports-and-data-national-lakes-assessment-2017. DOI: 10.23719/1529585 

EPA encourages users who are publishing subsets of the data (say as part of a journal article publication) to include the above citation. EPA also encourages users of the data to include the following acknowledgement: “The National Lakes Assessment 2017 data were a result of the collective efforts of dedicated field crews, laboratory staff, data management and quality control staff, analysts and many others from EPA, states, tribes, federal agencies, universities, and other organizations. Please contact nars-hq@epa.gov with any questions.” 

Additional information: NLA is part of the National Aquatic Resource Surveys, an EPA/State/Tribal partnership. The National Aquatic Resource Surveys (NARS) are statistical surveys designed to assess the status of and changes in quality of the nation’s coastal waters, lakes and reservoirs, rivers and streams, and wetlands. Using sample sites selected at random, these surveys provide a snapshot of the overall condition of the nation’s water. Because the surveys use standardized field and lab methods, we can compare results from different parts of the country and between years.