cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15156/bio/sh1937069.08fu
title: SH1937069.08FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1937070.08fu
title: SH1937070.08FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1473539.08fu
title: SH1473539.08FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1473540.08fu
title: SH1473540.08FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1937071.08fu
title: SH1937071.08FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.5281/zenodo.10212328
title: GIS bestanden inventaris mottekastelen

description: GIS bestanden (.geojson) met de inventaris van mottekastelen in Vlaanderen, opgemaakt binnen het kader van het project "Syntheseonderzoek Archeologie – Is het gras groener aan de andere kant van de heuvel? De studie van mottekastelen vanuit landschappelijk en beheersmatig perspectief".
De geïnventariseerde sites werden geografische gelokaliseerd en aangeduid als puntlocaties. De sites die werden gedetecteerd via luchtfotografie zijn ingetekend als polygonen. 
Het onderzoeksrapport is gepubliceerd als:
Herremans D. (red.), Cruz F., Storme A., Verhegge J., Allemeersch L., De Smedt P., Stichelbaut B.,  Rozek J., Vergauwe R., Van de Velde S., Van Parys V. & Laloo P. 2023: Is het gras groener aan de andere kant van de heuvel? De studie van mottekastelen vanuit landschappelijk en beheersmatig perspectief. SYNTAR 17, Brussel. doi: https://doi.org/10.55465/EVMA9277.
 (subsidie agentschap Onroerend Erfgoed)
DOI: 10.6084/m9.figshare.24657366
title: MaxEnt model and Meta-analytic raw data

description: MaxEnt model and Meta-analytic raw data
DOI: 10.6084/m9.figshare.24657366.v1
title: MaxEnt model and Meta-analytic raw data

description: MaxEnt model and Meta-analytic raw data
DOI: 10.34740/kaggle/dsv/7080284
title: Survey about current Instability in Pakistan
DOI: 10.6084/m9.figshare.24648438
title: Densities, biomasses, body masses of canopy and soil arthropods, birds, and earthworms from rainforest and plantations in Sumatra, Indonesia

description: The dataset represents raw data and R code used in the publication "Rainforest transformation reallocates energy from green to brown food webs". The data was collected in Jambi province, Sumatra, Indonesia from rainforest, jungle rubber, rubber, and oil palm plots. We collected canopy arthropod communities using insecticide fogging, soil arthropod and earthworm communities using Kempson extractors and assessed bird communities using point counts and audio recorders. The data is organised in several Excel files: Data_All_raw and Data_All_2016_raw reporting densities, biomasses, body masses and other traits (literature data) of canopy and soil arthropods, birds, and earthworms (data field descriptions are available inside the tables); Data_metabolicRates and Data_Resources are supplementary files for food-web reconstruction; Data_tree_height_2013 reporting tree heights from all trees from all plots that were used in sensitivity analysis; Numbers Birds, Numbers Canopy and Numbers Soil report raw counts of individuals; Rscript_FoodwebReconstruction is R script used for food-web reconstruction.
DOI: 10.6084/m9.figshare.24648438.v1
title: Densities, biomasses, body masses of canopy and soil arthropods, birds, and earthworms from rainforest and plantations in Sumatra, Indonesia

description: The dataset represents raw data and R code used in the publication "Rainforest transformation reallocates energy from green to brown food webs". The data was collected in Jambi province, Sumatra, Indonesia from rainforest, jungle rubber, rubber, and oil palm plots. We collected canopy arthropod communities using insecticide fogging, soil arthropod aand earthworm communities using Kempson extractors and assessed bird communities using point counts and audio recorders. The data is organised in several Excel files: Data_All_raw and Data_All_2016_raw reporting densities, biomasses, body masses and other traits (literature data) of canopy and soil arthropods, birds, and earthworms (data field descriptions are available inside the tables); Data_metabolicRates and Data_Resources are supplementary files for food-web reconstruction; Data_tree_height_2013 reporting tree heights from all trees from all plots that were used in sensitivity analysis; Numbers Birds, Numbers Canopy and Numbers Soil report raw counts of individuals; Rscript_FoodwebReconstruction is R script used for food-web reconstruction.
DOI: 10.6084/m9.figshare.24657393
title: Animal_Preference_First-Repeat_Visits

description: This database support this paper: Preference for animals: A comparison of first-time and repeat visitors
DOI: 10.6084/m9.figshare.24657393.v1
title: Animal_Preference_First-Repeat_Visits

description: This database support this paper: Preference for animals: A comparison of first-time and repeat visitors
DOI: 10.22029/jlupub-136
title: Data for "Extinction risk is linked to lifestyle in freshwater gastropods"

description: The dataset contains the primary species distribution data for Miocene to extant European freshwater gastropods, as well as the presence-absence data for 130 lakes, used in the analyses in Neubauer & Georgopoulou (2021).
DOI: 10.22029/jlupub-7
title: Supplemental Material for 'Climate sensitivity of milk production traits and milk fatty acids in genotyped Holstein dairy cows'
title: JDS_Heat stress_supplemental Table S1 and and Figures S1-S3

description: The dataset includes supplementary figures S1-S3 and a table S1 for the manuscript accepted for publication in the Journal of Dairy Science.
DOI: 10.22029/jlupub-9
title: Data for "Current extinction rate in European freshwater gastropods greatly exceeds that of the late Cretaceous mass extinction"

description: The dataset contains the primary data underyling the diversification analyses in Neubauer et al. (2021), as well as the results of the iucn_sim analyses on current species extinction rates.
DOI: 10.6084/m9.figshare.21971945
title: material_fse23.zip

description: anonymous dataset
DOI: 10.6084/m9.figshare.21971945.v3
title: material_fse23.zip

description: anonymous dataset
DOI: 10.4121/be5c168c-2d7a-47b4-bf0c-82f40a27be06
title: Data underlying the study of an integrated hierarchical interpolation framework for generating regional structural seismic responses.

description: This study has designed a framework for calculating structural seismic responses inside a non-instrumented building, based on dual-level hierarchical interpolation. The propagation of earthquake waves from an observation station to a target building is divided into two steps: propagation underground and inside the building. Gaussian process regression (GPR) and deconvolution seismic interferometry (DSI) are adopted, respectively, within these two steps to interpolate seismic responses in succession. This dataset contains main Python scripts for implementing the abovementioned steps. Some data collected from K-NET, KiK-net, and CESMD are provided for the purpose of testing.
DOI: 10.4121/be5c168c-2d7a-47b4-bf0c-82f40a27be06.v1
title: Data underlying the study of an integrated hierarchical interpolation framework for generating regional structural seismic responses.

description: This study has designed a framework for calculating structural seismic responses inside a non-instrumented building, based on dual-level hierarchical interpolation. The propagation of earthquake waves from an observation station to a target building is divided into two steps: propagation underground and inside the building. Gaussian process regression (GPR) and deconvolution seismic interferometry (DSI) are adopted, respectively, within these two steps to interpolate seismic responses in succession. This dataset contains main Python scripts for implementing the abovementioned steps. Some data collected from K-NET, KiK-net, and CESMD are provided for the purpose of testing.
DOI: 10.6084/m9.figshare.23623014
title: Supplementary Files for "A draft genome of the neritid snail Theodoxus fluviatilis"

description: The file GenomeImprovementPipeline.sh describes the code that was used in creating the genome assembly and annotation for Theodoxus fluviatilis.The file TableS1.csv contains information about the 50 Illumina whole genome sequences that were generated and are deposited at NCBI.The file TableS2.csv contains information for different assemblers that were tried on the PacBio WGS data.The file FigureS1.pdf contains the results of the contamination screening of the initial genome assembly, using BlobTools blobtoolkit.The file FigureS2.pdf contains the results of the contamination screening of the final genome assembly, using BlobTools blobtoolkit.The file tsebra_output_exonfilter_longestisoform_fixed.gff is the annotation file corresponding to the de novo genome assembly of Theodoxus fluviatilis. md5sum b77882a01732fe82dec18ac964cc6be7The file P_RNA_scaffold.Ppolish_6ab_onlyS7_filtered_contfix_adapterfix.fasta is the genome assembly file of Theodoxus fluviatilis. md5sum 65ffadca4f6b9e774280ef53bd5500b5 <br>
DOI: 10.6084/m9.figshare.23623014.v7
title: Supplementary Files for "A draft genome of the neritid snail Theodoxus fluviatilis"

description: The file GenomeImprovementPipeline.sh describes the code that was used in creating the genome assembly and annotation for Theodoxus fluviatilis.The file TableS1.csv contains information about the 50 Illumina whole genome sequences that were generated and are deposited at NCBI.The file TableS2.csv contains information for different assemblers that were tried on the PacBio WGS data.The file FigureS1.pdf contains the results of the contamination screening of the initial genome assembly, using BlobTools blobtoolkit.The file FigureS2.pdf contains the results of the contamination screening of the final genome assembly, using BlobTools blobtoolkit.The file tsebra_output_exonfilter_longestisoform_fixed.gff is the annotation file corresponding to the de novo genome assembly of Theodoxus fluviatilis. md5sum b77882a01732fe82dec18ac964cc6be7
DOI: 10.18465/2a2c3654-0210-44cd-8903-484565def3c0
title: MNT La Baule 2022

description: Modèle Numérique de Terrain obtenu par LiDAR sur la côte ligérienne au niveau de la Baule
DOI: 10.22029/jlupub-6
title: Electrochemical data for "Enhancing the Electrochemical Performance of LiNi0.70Co0.15Mn0.15O2 Cathodes Using a Practical Solution-Based Al2O3 Coating"

description: Raw cycling data and electrochemical impedance spectroscopy (EIS) data of the cells investigated in the publication Negi, R.S, Culver, S.P., Mazilkin, A., Brezesinski, T., Elm, M.T. “Enhancing the Electrochemical Performance of LiNi0.70Co0.15Mn0.15O2Cathodes Using a Practical Solution-Based Al2O3Coating” ACS Appl. Mater. Interfaces 2020, 12, 31392-31400; https://doi.org/10.1021/acsami.0c06484. File format is the standard .txt format. Cycling data of the three pristine (uncoated) NCM cathodes (P-NCM) and the three investigated, coated NCM cathodes (C-NCM) are stored in three blocks: 1. Cycle number, 2. Discharge capacity cell1 (mAh g-1), 3. Discharge capacity cell2 (mAh g-1), 4. Discharge capacity cell3 (mAh g-1). Experimental impedance data after the first cycle and the 100th cycle for one pristine (P-NCM) and coated cathode (C-NCM) are stored in 3 blocks: 1. Frequency (Hz), 2. Real part (Ohm), 3. Imaginary Part (Ohm). In each file, blocks 4 and 5 give the results of the fitting according to the equivalent circuit discussed in the publication. Block 4: Fitted real part (Ohm), block 5: Fitted imaginary part (Ohm).
DOI: 10.18112/openneuro.ds004669.v1.0.0
title: Natural Dialogue fMRI Dataset
DOI: 10.4121/a41d11f9-83a3-4f12-b59f-540a1e18dc1d
title: Supplementary data for the paper 'ChatGPT in education: Empowering educators through methods for recognition and assessment'

description: ChatGPT is widely used among students, a situation that challenges educators. The current paper presents two strategies that do not push educators into a defensive role but can empower them. Firstly, we show, based on statistical analysis, that ChatGPT use can be recognized from certain keywords such as ‘delves’ and ‘crucial’. This insight allows educators to detect ChatGPT-assisted work more effectively. Secondly, we illustrate that ChatGPT can be used to assess texts written by students. The latter topic was presented in two interactive workshops provided to educators and educational specialists. The results of the workshops, where prompts were tested live, indicated that ChatGPT, provided a targeted prompt is used, is good at recognizing errors in texts but not consistent in grading. Ethical and copyright concerns were raised as well in the workshops. In conclusion, the methods presented in this paper may help fortify the teaching methods of educators. The computer scripts that we used for live prompting are available and enable educators to give similar workshops
DOI: 10.4121/a41d11f9-83a3-4f12-b59f-540a1e18dc1d.v1
title: Supplementary data for the paper 'ChatGPT in education: Empowering educators through methods for recognition and assessment'

description: ChatGPT is widely used among students, a situation that challenges educators. The current paper presents two strategies that do not push educators into a defensive role but can empower them. Firstly, we show, based on statistical analysis, that ChatGPT use can be recognized from certain keywords such as ‘delves’ and ‘crucial’. This insight allows educators to detect ChatGPT-assisted work more effectively. Secondly, we illustrate that ChatGPT can be used to assess texts written by students. The latter topic was presented in two interactive workshops provided to educators and educational specialists. The results of the workshops, where prompts were tested live, indicated that ChatGPT, provided a targeted prompt is used, is good at recognizing errors in texts but not consistent in grading. Ethical and copyright concerns were raised as well in the workshops. In conclusion, the methods presented in this paper may help fortify the teaching methods of educators. The computer scripts that we used for live prompting are available and enable educators to give similar workshops
DOI: 10.6084/m9.figshare.24657468
title: Supplementary Material for: A Systematic Bibliometric Analysis of High Impact Articles in Critical Care Nephrology

description: Introduction: Critical care nephrology is a subspecialty that merges critical care and nephrology in response to shared pathobiology, clinical care, and technological innovations. To date, there has been no description of the highest impact articles. Accordingly, we systematically identified high impact articles in critical care nephrology. Methods: This was a bibliometric analysis. The search was developed by a research librarian. Web of Science was searched for articles published between January 1, 2000 and December 31, 2020. Articles required a minimum of 30 citations, publication in English-language, and reporting of primary (or secondary) original data. Articles were screened by two reviewers for eligibility and further adjudicated by three experts. The “Top 100” articles were hierarchically ranked by adjudication, citations in the 2 years following publication and journal Impact Factor (IF). For each article, we extracted detailed bibliometric data. Risk of bias was assessed for randomized trials by the Cochrane Risk of Bias tool. Analyses were descriptive. Results: The search yielded 2,805 articles. Following initial screening, 307 articles were selected for full review and adjudication. The Top 100 articles were published across 20 journals (median [IQR] IF 10.6 [8.9-56.3]), 38% were published in the 5 years ending in 2020 and 62% were open access. The agreement between adjudicators was excellent (intra-class correlation, 0.96; 95%CI, 0.84-0.99). Of the Top 100, 44% were randomized trials, 35% were observational, 14% were systematic reviews, 6% were non-randomized interventional studies and one article was a consensus document. The risk of bias among randomized trials was low. Common subgroup themes were RRT (42%), AKI (30%), fluids/resuscitation (14%), pediatrics (10%), interventions (8%) and peri-operative care (6%). The citations for the Top 100 articles were 175 (95-393) and 9 were cited &gt;1,000 times. Conclusion: Critical care nephrology has matured as an important subspecialty of critical care and nephrology. These high impact papers have focused largely on original studies, mostly clinical trials, within a few core themes. This list can be leveraged for curricula development, to stimulate research, and for quality assurance.
DOI: 10.6084/m9.figshare.24634755.v1
title: Thermally Activated Delayed Fluorescence emitter dataset

description: This is a Thermally Activated Delayed Fluorescence emitter data set containing more than 250 samples.If you would like to use this dataset, please contact me. My email is gammanhang@gmail.com
DOI: 10.18465/f2441cdd-38b5-44f0-ab7d-334612bd1e51
title: MNS La Baule 2022

description: Modèle Numérique de Surface obtenu par LiDAR sur la côte ligérienne au niveau de la Baule