cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.3535/hqx-ha3-45t
title: †Homoeospira Hall & Clarke, 1893

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/wvv-l0z-658
title: †Homoeospira Hall & Clarke, 1893

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.6084/m9.figshare.26175430.v1
title: <i>Colletotrichum acutatum</i> distributions

description: <b>Modeling habitat suitability of </b><b>Colletotrichum </b><b>acutatum</b><b> </b><b>using</b><b>Optimized </b><b>MaxEnt under climate change</b>
DOI: 10.3535/ah9-nmg-xmt
title: †Homoeospira Hall & Clarke, 1893

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.6084/m9.figshare.16964842.v1
title: Contribution of plant–bacteria interactions to horizontal gene transfer in plants

description: Horizontal gene transfer (HGT) is recognized as a major driver of adaptive evolution in prokaryotes. However, HGT seems impossible in eukaryotes, particularly as recipients; therefore, debate rages regarding whether HGT takes place in eukaryotes, in addition to its potential mechanism or frequency. Bacterial symbionts, whether mutualistic, commensalistic or parasitic, have been considered potential donors for eukaryotes. In this study, we used a bacterial–plant interaction system to systematically investigate HGT in plants. In total, 373 HGT events were identified based on a pipeline procedure, and 90 HGTs were confirmed as true events, with 27.27%–86.5% sequence similarities. We propose that both ancient transfer and recent specific transfer (e.g. Agrobacteria) occurred in the course of plant evolution. The most enriched functional categories of the HGTs were metabolism processes of amino acids, cofactors and vitamins, and carbohydrates, and genetic information processing. Donor bacterial genera were significantly enriched in plant-associated bacterial groups, which indicated that plant–bacterial interaction facilitates HGT in plants. No clade- or species-specific HGTs were detected, and all occurred anciently during the origin of angiosperm plants. In addition, we identified 309 ‘one-species’ HGT events, and as expected, all the events could be accounted for as sequence errors or inaccurate annotations.
DOI: 10.3535/8vd-5mm-f8s
title: †Homoeospira Hall & Clarke, 1893

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/d4p-1za-34k
title: †Homoeospira Hall & Clarke, 1893

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.6084/m9.figshare.21617535.v1
title: 5000米可见范围地形.tif

description: Provide data support for viewshed analysis
DOI: 10.3535/34n-jd4-day
title: †Homoeospira Hall & Clarke, 1893

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/xjr-7ha-x7n
title: †Homoeospira Hall & Clarke, 1893

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.6084/m9.figshare.21824934.v1
title: A Guaranteed Approximation Algorithm for Scheduling Fork-Joins with Communication Delay

description: This is the dataset for the experimental evaluation of the algorithms investigated in the paper: <br> <em>A Guaranteed Approximation Algorithm for Scheduling Fork-Joins with Communication Delay</em> <br> This includes the input task graphs (DAGs) in gxl format the raw data from the evaluation runs in .csv format the generated charts as pdfs
DOI: 10.6084/m9.figshare.5644954.v1
title: Crambe (Crambe abyssinica) and sunflower (Helianthus annuus) protein concentrates: production methods and nutritional properties for use in fish feed

description: ABSTRACT The purpose of this study was to develop and improve protein concentration techniques for two industrial by-products with the potential for use in fish feed. In particular, we chemically characterized crambe meal and sunflower meal and their protein concentrates. Three different protein concentration methods were tested: isoelectric pH (pHi), acid pH and alkaline pH. For crambe and sunflower meals extraction using the pHi method was most efficient in terms of protein yield and crude protein content in the concentrates; this method also increased lysine and methionine content in the concentrates. The water holding capacity of the sunflower protein concentrate was greater than that of the crambe protein concentrate. The crambe protein concentrate had a foam-formation capacity of 15%, which stabilized at 6% after 90 minutes. The protein concentration method also reduced total phenolic content by approximately 50% in the concentrates compared with the meals. Therefore, we conclude that protein concentration using the pHi method is the most efficient technique for crambe and sunflower meals, and the use of this technique can decrease total phenolic compounds while improving meal quality for fish feeding.
DOI: 10.3535/2gh-nz9-nlb
title: †Homoeospira Hall & Clarke, 1893

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/cze-rm0-car
title: †Homoeospira Hall & Clarke, 1893

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/7zm-rde-v2g
title: †Homoeospira Hall & Clarke, 1893

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/nnr-yzc-8cm
title: †Homoeospira Hall & Clarke, 1893

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.6084/m9.figshare.28327118.v1
title: Data for "A neural mechanism for learning from delayed postingestive feedback"

description: Data for "A neural mechanism for learning from delayed postingestive feedback"bioRxiv: https://doi.org/10.1101/2023.10.06.561214
DOI: 10.3535/7jv-dgm-q4v
title: †Homoeospira Hall & Clarke, 1893

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/gma-jqh-ya0
title: †Homoeospira Hall & Clarke, 1893

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.15468/dl.873r5q
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Sarda chiliensis (Cuvier, 1832)",
 "Geometry POLYGON((170 20, 170 50, 120 50, 120 20, 170 20))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026641-241126133413365/datasets/export for details.
DOI: 10.15468/dl.jg8xdm
title: Occurrence Download

description: A dataset containing 24325 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Mexico",
 "TaxonKey is Buteo albonotatus Kaup, 1847"
 ]
}

 The dataset includes 24325 records from 51 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026640-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.tpm9qw
title: Occurrence Download

description: A dataset containing 4439 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Occurrence data set of Non-Timber Forest Products species for medicinal purposes in Zimbabwe’s biodiversity hotspots"
 ]
}

 The dataset includes 4439 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026642-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.k59z9z
title: Occurrence Download

description: A dataset containing 2293 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Viburnum sieboldii Miq."
 ]
}

 The dataset includes 2293 records from 136 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026643-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.27613464
title: <b>Probing SARS-CoV-2 Membrane Binding Peptide via Single-Molecule AFM-based Force Spectroscopy</b>

description: The files provided here contain the raw Atomic Force Microscopy (AFM) data underlying the force measurements recorded in our study on SARS-CoV-2 spike protein membrane interactions. This study, titled <i>“The SARS-CoV-2 spike protein’s membrane-binding domain bridges the viral and host cell membrane, a critical step in triggering membrane fusion,”</i> investigates the binding dynamics of the SARS-CoV-2 spike protein with host cell membranes. Specifically, we focused on a membrane-binding peptide (MBP) near the TMPRSS2 cleavage site, examining both primed (TMPRSS2-cleaved) and unprimed states, as well as the effects of a conserved disulfide bridge on membrane stability and binding affinity. The data presented here are crucial in demonstrating the MBP’s preferential association with cholesterol-rich membranes and the stabilizing role of the disulfide bridge in membrane interactions.
DOI: 10.15468/dl.yzusxh
title: Occurrence Download

description: A dataset containing 16908 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Ligustrum obtusifolium Siebold & Zucc."
 ]
}

 The dataset includes 16908 records from 273 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026644-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14336526
title: Data and Code for Habitat Disturbance and Multigenerational Emergence Trends in Brood X Cicadas in Southwest Ohio

description: This repository contains the data and scripts to perform the analyses shown in the article "Habitat Disturbance and Multigenerational Emergence Trends in Brood X Cicadas in Southwest Ohio" by Alfredo Ascanio1, Brianna Louis1,2, Andrew Cannizzaro1, Victor Fitzgerald1, Jason Bracken1, Nicholas L Rodenhouse3, Thomas Crist1, Tereza Jezkova1

 

1 Department of Biology, Miami University, Oxford, Ohio, USA

2 Department of Biological Sciences, University of Memphis, Memphis, Tennessee, USA

3 Department of Biological Sciences, Wellesley College, Wellesley, MA, USA
DOI: 10.5281/zenodo.14336527
title: Data and Code for Habitat Disturbance and Multigenerational Emergence Trends in Brood X Cicadas in Southwest Ohio

description: This repository contains the data and scripts to perform the analyses shown in the article "Habitat Disturbance and Multigenerational Emergence Trends in Brood X Cicadas in Southwest Ohio" by Alfredo Ascanio1, Brianna Louis1,2, Andrew Cannizzaro1, Victor Fitzgerald1, Jason Bracken1, Nicholas L Rodenhouse3, Thomas Crist1, Tereza Jezkova1

 

1 Department of Biology, Miami University, Oxford, Ohio, USA

2 Department of Biological Sciences, University of Memphis, Memphis, Tennessee, USA

3 Department of Biological Sciences, Wellesley College, Wellesley, MA, USA
DOI: 10.15468/dl.tcy7dg
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Pelamys orientalis Temminck & Schlegel, 1844",
 "Geometry POLYGON((170 20, 170 50, 120 50, 120 20, 170 20))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026645-241126133413365/datasets/export for details.
DOI: 10.15468/dl.7z5nx6
title: Occurrence Download

description: A dataset containing 148567 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is one of (Europe, Asia)",
 "TaxonKey is Vincetoxicum hirundinaria Medik."
 ]
}

 The dataset includes 148567 records from 1078 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026631-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5523/bris.spjxojmfc0o52ug9pc2l6b819
title: Supplementary Tables
title: Supplementary Data

description: Data tables referred to in the 'Exploring Staff and Student Perspectives on Decolonising the Biological Sciences Curriculum' paper
DOI: 10.15468/dl.wt5sjz
title: Occurrence Download

description: A dataset containing 5692 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Stenella longirostris (Gray, 1828)",
 "Geometry POLYGON((170 20, 170 50, 120 50, 120 20, 170 20))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 5692 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026646-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.60520/ieda/113569
title: Whole-rock geochemical dataset of the Akanvaara layered Intrusion, Lapland, Finland

description: This dataset contains whole-rock analyses, including major and trace elements, platinum group elements (PGE), and gold (Au), from drill core intervals of the 2.44 Ga Akanvaara layered intrusion in Lapland, Finland. It encompasses the entire intrusion, covering floor country rocks, the lower zone, main zone, upper zone, and granophyres. The dataset also includes analyses of chromitites and other mineralized intervals.
DOI: 10.15156/bio/sh1104642.10fu
title: SH1104642.10FU

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/sh1104650.10fu
title: SH1104650.10FU

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/sh1104658.10fu
title: SH1104658.10FU

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/sh1104660.10fu
title: SH1104660.10FU

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/sh1104661.10fu
title: SH1104661.10FU

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/sh1104663.10fu
title: SH1104663.10FU

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/sh1104667.10fu
title: SH1104667.10FU

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/sh1104668.10fu
title: SH1104668.10FU

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/sh1104671.10fu
title: SH1104671.10FU

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.