cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.3506276.v1
title: Bell 2016

description: Grazing is a fundamental ecological process structuring seagrass
ecosystems, yet the environmental drivers influencing grazing are poorly
understood. Whilst the stress gradient hypothesis (SGH) is commonly used to
predict competitive species interactions under environmental stress, it is
possible to adapt the mechanistic model behind the concept to include predictions
for herbivory. In subtidal marine systems, however, this modified SGH has
seldom been tested.<br><br>We deployed forage-choice assays using the five most common seagrass species
of Shark Bay (<i>Amphibolis antarctica,
Posidonia australis, Halodule uninervis, Cymodocea angustata </i>and<i> Halophila ovalis</i>), to determine whether
herbivory pressure and feeding choice changed across a salinity-stress gradient
from normal oceanic salinities (~38‰) to hyper-saline conditions (&gt;50‰). <br><br>Biomass of seagrass tissue removed from forage-choice assays decreased as environmental
stress increased, showing salinity is a key environmental driver of grazing.
The salinity stress threshold was identified as the marine environment
approached hyper-saline conditions at around 41‰. Here, herbivory pressure decreased
to negligible levels, meaning seagrass community structure was influenced by other
ecosystem processes. With salinity-stress such a predominant feature within
this area it is therefore likely to be a major contributor. Herbivores
preferred the smaller tropical/sub-tropical seagrass species compared to the
larger temperate species that dominate seagrass cover in Shark Bay. This
preference was upheld across the entire salinity-stress gradient and was
correlated with enriched seagrass nitrogen and phosphorous concentrations. <br><br>Our work supports the modified SGH and presents the first example of this
novel hypothesis predicting herbivory interactions along a salinity-stress
gradient within the marine environment. By demonstrating the fundamental
relationship between trophic interactions and environmental conditions we
underscore the importance of including a suite of abiotic and biotic processes
when studying seagrass dynamics.<br><i><br></i>Synthesis: The complexity of
interactions within and between biotic and abiotic components of marine systems
plays an uncommonly recognised role in determining the structure and dynamics
of subtidal seagrass environments. We show that the relative importance of
trophic interactions can be a function of environmental conditions, and advance
our understanding of the effectiveness of field approaches in developing
predictive frameworks to determine potential mechanisms of impact on marine
communities.
DOI: 10.6084/m9.figshare.3504110.v1
title: Analysis of soil eDNA functional genes%3A potential to increase profitability and sustainability of pastoral agriculture

description: Management of soil biological resources to optimise plant production, efficiency of nutrient inputs, and system sustainability is an emerging opportunity for pastoral agriculture. To achieve these goals, suitable tools that can assess the functional state of the soil ecosystem must be developed and standardised approaches to their application adopted. Towards this end, we have undertaken comprehensive, high-density functional-gene microarray analysis (GeoChip5) of environmental DNA (eDNA) extracted from 50 pastoral soils. When combined with soil, environmental and management metadata, the information can be used to provide insights into soil biological processes spanning greenhouse gas emissions, through to natural suppression of plant root diseases. To provide an example of a structured workflow of analysis in a pastoral system context, we analysed the GeoChip data using a combination of approaches spanning routine univariate methods through to more complex multivariate and network-based analysis. Analyses were restricted to comparing effects of land-use (dairy or ‘other’ farming systems), and exploring relationships of the GeoChip data with the soil properties from each sample. These exemplar analyses present a pathway for the application of eDNA approaches (GeoChip or others) to deliver outcomes for pastoral agricultural in New Zealand.
DOI: 10.6084/m9.figshare.3475334
title: TCGA protein expression data from stomach adenocarcinoma tumors

description: TCGA protein expression data from stomach adenocarcinoma tumors. Retrieved from TCGA and preprocessed for machine-learning analyses. Features and/or samples with low variance have been removed. Values have been standardized using the sklearn Scale function. Missing values have been imputed for features with 90% or more non-null values, otherwise the features have been removed.
DOI: 10.6084/m9.figshare.3475334.v1
title: Test

description: Data test
DOI: 10.6084/m9.figshare.3473450
title: test

description: just testing
DOI: 10.6084/m9.figshare.3466862
title: combat_tb_neo4j-0.2.0.tar.bz2

description: This is a Neo4j format *M. tuberculosis* reference annotation database. To view it you need a Neo4j instance. There is a script (`run_db.sh`) that will start a Neo4j instance foryou based on this data, using docker. Run that (`bash run_db.sh`) and connect to http://localhost:7474.<br>The database was created by the [SANBI COMBAT TB project](http://christoffels.sanbi.ac.za/index.php/projects/combat-tb).<br>Authors: Thoba Lose, Peter van Heusden, Ziphozakhe Mashologu, Alan Christoffels .<br>The COMBAT TB project is funded by the South African Medical Research Council (MRC) and was supported by the South African Research Chairs Initiative of the Department of Science and Technology and National Research Foundation of South Africa.<br>
DOI: 10.6084/m9.figshare.3466862.v1
title: combat_tb_neo4j-0.2.0.tar.bz2

description: This is a Neo4j format *M. tuberculosis* reference annotation database. To view it you need a Neo4j instance. There is a script (`run_db.sh`) that will start a Neo4j instance foryou based on this data, using docker. Run that (`bash run_db.sh`) and connect to http://localhost:7474.<br>The database was created by the [SANBI COMBAT TB project](http://christoffels.sanbi.ac.za/index.php/projects/combat-tb).<br>Authors: Thoba Lose, Peter van Heusden, Ziphozakhe Mashologu, Alan Christoffels .<br>The COMBAT TB project is funded by the South African Medical Research Council (MRC) and was supported by the South African Research Chairs Initiative of the Department of Science and Technology and National Research Foundation of South Africa.<br>
DOI: 10.15468/dl.86n93j
title: Occurrence Download

description: A dataset containing 1457 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Anoplophora glabripennis (Motschulsky, 1854)"
 ]
}

 The dataset includes 1457 records from 39 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0034340-241126133413365/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.3412381.v5
title: Pan-sharpening with Structural Consistency and L1/2 Gradient Prior

description: In this letter, a variational method is proposed for pan-sharpening by fusing a 
low resolution multispectral (LRMS) image with a high resolution panchromatic 
(PAN) image to generate a high resolution multispectral (HRMS) image. Most 
methods focus on spatial intensity preservation while the proposed method tends 
to preserve the consistency of the spatial structure information. In addition, 
an L<sub>1</sub>-aL<sub>2</sub> metric is used to estimate L<sub>1/2</sub> 
gradient prior. The alternating direction method of multipliers (ADMM) and the 
difference of convex algorithm (DCA) are used to guarantee the convergence of 
the algorithm. A large number of experiments show that the proposed method has 
obvious advantages compared with other advanced methods both subjectively and 
objectively.
DOI: 10.6084/m9.figshare.3412381.v4
title: Pan-sharpening with Structural Consistency and L1/2 Gradient Prior

description: In this letter, a variational method is proposed for pan-sharpening by fusing a 
low resolution multispectral (LRMS) image with a high resolution panchromatic 
(PAN) image to generate a high resolution multispectral (HRMS) image. Most 
methods focus on spatial intensity preservation while the proposed method tends 
to preserve the consistency of the spatial structure information. In addition, 
an L<sub>1</sub>-aL<sub>2</sub> metric is used to estimate L<sub>1/2</sub> 
gradient prior. The alternating direction method of multipliers (ADMM) and the 
difference of convex algorithm (DCA) are used to guarantee the convergence of 
the algorithm. A large number of experiments show that the proposed method has 
obvious advantages compared with other advanced methods both subjectively and 
objectively.
DOI: 10.15468/dl.qd44xf
title: Occurrence Download

description: A dataset containing 8 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Eugenia roseopetiolata N.Snow & Cable"
 ]
}

 The dataset includes 8 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0034341-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bd29a2
title: Occurrence Download

description: A dataset listing the 226 species recorded in GBIF matching the query:
{
 "and" : [
 "Country is Guyana",
 "OccurrenceStatus is Present",
 "TaxonKey is Odonata"
 ]
}

 The dataset's 226 records were derived from 15 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0034339-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14472895
title: careproctus_curilanus_spades_01.fasta.gz
DOI: 10.5281/zenodo.14472896
title: careproctus_curilanus_spades_01.fasta.gz
DOI: 10.5281/zenodo.14471388
title: (Dataset) Late Pleistocene Sediment Provenance and Paleoenvironmental Changes in the East Siberian Shelf: Insights from Mineralogical and Nd Isotope Analysis

description: This is the dataset for sediment core ARA10C-St16, collected from the East Siberian Sea continental shelf.

The dataset is provided in an Excel spreadsheet format with a single sheet and includes the following information:



Color reflectance (L*, a*, b*)

IRD content (>250 µm, >2 mm)

Bulk mineralogy

Clay mineralogy

Major elements

Nd isotopes
DOI: 10.5281/zenodo.14471389
title: (Dataset) Late Pleistocene Sediment Provenance and Paleoenvironmental Changes in the East Siberian Shelf: Insights from Mineralogical and Nd Isotope Analysis

description: This is the dataset for sediment core ARA10C-St16, collected from the East Siberian Sea continental shelf.

The dataset is provided in an Excel spreadsheet format with a single sheet and includes the following information:



Color reflectance (L*, a*, b*)

IRD content (>250 µm, >2 mm)

Bulk mineralogy

Clay mineralogy

Major elements

Nd isotopes
DOI: 10.15468/dl.nwdnx8
title: Occurrence Download

description: A dataset containing 25766 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Cicadella viridis (Linnaeus, 1758))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "Year is greater than or equal to 1970",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
}

 The dataset includes 25766 records from 473 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0034343-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.r6j4ed
title: Occurrence Download

description: A dataset containing 42478 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Philaenus spumarius (Linnaeus, 1758))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "Year is greater than or equal to 1970",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
}

 The dataset includes 42478 records from 508 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0034344-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15156/bio/sh1127041.10fu
title: SH1127041.10FU

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/sh1127043.10fu
title: SH1127043.10FU

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/sh1127046.10fu
title: SH1127046.10FU

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/sh1127048.10fu
title: SH1127048.10FU

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/sh1127050.10fu
title: SH1127050.10FU

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/sh1127055.10fu
title: SH1127055.10FU

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/sh1127057.10fu
title: SH1127057.10FU

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/sh1127058.10fu
title: SH1127058.10FU

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/sh1127059.10fu
title: SH1127059.10FU

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/sh1127060.10fu
title: SH1127060.10FU

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.