cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/nj9mtnv5hf
title: Perspective of benefi cial microbes in agriculture under changing climatic scenario: A review

description: Agriculture is a complex network of interactions of plants with microorganisms. There is a growing demand for 
ecologically compatible, environment friendly technique in agriculture that might be able to provide adequate 
supply of nutrients for the increasing human populations through improvement of the quality and quantity of 
agricultural products. Under the changing climatic scenario of global fluxes of the key biogenic greenhouse 
gases (carbon dioxide, methane, and nitrous oxide), and some other environmental problems, the application 
of beneficial microorganisms in agriculture would serve as an important alternative gateway to some of the 
traditional agricultural techniques. Microorganisms of agricultural importance represent key ecological strategy 
for integrated management practices such as nutrient management, disease, and pest management in order to 
reduce the use of chemicals in agriculture as well to improve cultivar performance. The present review is intended 
to focus on the emergence of agriculturally important microorganisms to develop an ideal agricultural system 
through efficient utilization of nutrients and recycling of energy and thereby to preserve the natural ecosystem 
resources under climate change. The progress to date in using the beneficial microflora in a variety of applications 
related to agriculture along with key mechanism of action is also discussed in this review.
DOI: 10.17632/nj9mtnv5hf.1
title: Perspective of benefi cial microbes in agriculture under changing climatic scenario: A review

description: Agriculture is a complex network of interactions of plants with microorganisms. There is a growing demand for 
ecologically compatible, environment friendly technique in agriculture that might be able to provide adequate 
supply of nutrients for the increasing human populations through improvement of the quality and quantity of 
agricultural products. Under the changing climatic scenario of global fluxes of the key biogenic greenhouse 
gases (carbon dioxide, methane, and nitrous oxide), and some other environmental problems, the application 
of beneficial microorganisms in agriculture would serve as an important alternative gateway to some of the 
traditional agricultural techniques. Microorganisms of agricultural importance represent key ecological strategy 
for integrated management practices such as nutrient management, disease, and pest management in order to 
reduce the use of chemicals in agriculture as well to improve cultivar performance. The present review is intended 
to focus on the emergence of agriculturally important microorganisms to develop an ideal agricultural system 
through efficient utilization of nutrients and recycling of energy and thereby to preserve the natural ecosystem 
resources under climate change. The progress to date in using the beneficial microflora in a variety of applications 
related to agriculture along with key mechanism of action is also discussed in this review.
DOI: 10.15468/dl.ka3936
title: Occurrence Download

description: A dataset containing 1936 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Gastropoda)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1980",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "Geometry POLYGON((130 -60,140 -60,140 -50,130 -50,130 -60))"
 ]
}

 The dataset includes 1936 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023900-251009101135966/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.unyr22
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Monoplacophora)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1980",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "Geometry POLYGON((80 30,90 30,90 40,80 40,80 30))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0023899-251009101135966/datasets/export for details.
DOI: 10.15468/dl.3rbqyz
title: Occurrence Download

description: A dataset containing 2223 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is INSDC Host Organism Sequences",
 "Country is Croatia"
 ]
}

 The dataset includes 2223 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003387-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.eh8vnp
title: Occurrence Download

description: A dataset containing 45935 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Morus alba"
 ]
}

 The dataset includes 45935 records from 985 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001848-260221153910048/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18734410
title: xenomystus_nigri_spades_02.fasta.gz
DOI: 10.5281/zenodo.18734411
title: xenomystus_nigri_spades_02.fasta.gz
DOI: 10.15468/dl.fpgy72
title: Occurrence Download

description: A dataset containing 16260 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Graphium sarpedon"
 ]
}

 The dataset includes 16260 records from 175 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001849-260221153910048/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18329494
title: Energy Decision Benchmark (EDB-P): Public Dataset v1.0

description: A reproducible benchmark dataset for evaluating operational readiness of AI systems in regulated energy domains. Contains 150 synthetic test cases across 6 evaluation dimensions: logical consistency, counterfactual robustness, regulatory compliance, data sufficiency detection, temporal prediction, and multi-turn coherence.
DOI: 10.5281/zenodo.18314614
title: Energy Decision Benchmark (EDB-P): Public Dataset v1.0

description: A reproducible benchmark dataset for evaluating operational readiness of AI systems in regulated energy domains. Contains 150 synthetic test cases across 6 evaluation dimensions: logical consistency, counterfactual robustness, regulatory compliance, data sufficiency detection, temporal prediction, and multi-turn coherence.
DOI: 10.5281/zenodo.18718689
title: Model data: Timescale competition controls tipping behaviour under climate overshoot

description: This dataset contains model data from muti-millennial overshoot scenarios run with AWI-ESM and interactive Greenland ice sheet. Included in the dataset are netcdf files for historical and four different extended future scenarios with and without interactive Greenland ice sheet, a PI control run, and one additional sensitivity run. Also included are config and forcing files to reproduce the model simulations. The "init_files" directories contain restart and input files to run the historical and scenario runs with (ice) and without ice sheet, "mesh_core2" contains the FESOM used for the experiments. esm_tools: https://github.com/esm-tools/esm_toolsFESOM2: https://github.com/FESOM/fesom2https://github.com/FESOM/fesom2PISM: https://github.com/pism/pismhttps://github.com/pism/pismECHAM6: https://gitlab.awi.de/paleodyn/Models/echam6
DOI: 10.5281/zenodo.18718688
title: Model data: Timescale competition controls tipping behaviour under climate overshoot

description: This dataset contains model data from muti-millennial overshoot scenarios run with AWI-ESM and interactive Greenland ice sheet. Included in the dataset are netcdf files for historical and four different extended future scenarios with and without interactive Greenland ice sheet, a PI control run, and one additional sensitivity run. Also included are config and forcing files to reproduce the model simulations. The "init_files" directories contain restart and input files to run the historical and scenario runs with (ice) and without ice sheet, "mesh_core2" contains the FESOM used for the experiments. esm_tools: https://github.com/esm-tools/esm_toolsFESOM2: https://github.com/FESOM/fesom2https://github.com/FESOM/fesom2PISM: https://github.com/pism/pismhttps://github.com/pism/pismECHAM6: https://gitlab.awi.de/paleodyn/Models/echam6
DOI: 10.15468/dl.j5478y
title: Occurrence Download

description: A dataset containing 13753 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Morus indica"
 ]
}

 The dataset includes 13753 records from 184 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001850-260221153910048/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18734366
title: Source Code and Simulation Data: Topological Diffusivity Modulation and MHD Instability Control via PINNs (The DQ Framework)

description: This repository contains the PyTorch source code and the 2D Software-in-the-Loop simulation video supporting the manuscript "Topological Diffusivity Modulation and MHD Instability Control via Physics-Informed Neural Networks: The DQ Framework".

The surrogate model demonstrates the active control of spatial diffusivity ($D \to 0$) using a Physics-Informed Neural Network (PINN). By modulating the electromagnetic tensor to induce a localized topological collapse, the system achieves absolute thermal isolation (0 K) of a solid core against a continuous hypersonic plasma flow at 15,000 K. This computational proof of concept (TRL-3) validates a novel approach to bypassing the thermal wall and mitigating Magnetohydrodynamic (MHD) instabilities without relying on passive ablative materials or brute-force magnetic containment.
DOI: 10.5281/zenodo.18734367
title: Source Code and Simulation Data: Topological Diffusivity Modulation and MHD Instability Control via PINNs (The DQ Framework)

description: This repository contains the PyTorch source code and the 2D Software-in-the-Loop simulation video supporting the manuscript "Topological Diffusivity Modulation and MHD Instability Control via Physics-Informed Neural Networks: The DQ Framework".

The surrogate model demonstrates the active control of spatial diffusivity ($D \to 0$) using a Physics-Informed Neural Network (PINN). By modulating the electromagnetic tensor to induce a localized topological collapse, the system achieves absolute thermal isolation (0 K) of a solid core against a continuous hypersonic plasma flow at 15,000 K. This computational proof of concept (TRL-3) validates a novel approach to bypassing the thermal wall and mitigating Magnetohydrodynamic (MHD) instabilities without relying on passive ablative materials or brute-force magnetic containment.
DOI: 10.5281/zenodo.18734434
title: valeriana_crispa_spades_02.fasta.gz
DOI: 10.5281/zenodo.18734433
title: valeriana_crispa_spades_02.fasta.gz
DOI: 10.15468/dl.mxeh2m
title: Occurrence Download

description: A dataset listing the 5 species recorded in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-36.32701 -9.90993,-36.33141 -9.90882,-36.33172 -9.93525,-36.32503 -9.93586,-36.32346 -9.91073,-36.32701 -9.90993))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset's 5 records were derived from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001847-260221153910048/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.h248hg
title: Occurrence Download

description: A dataset containing 465 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Specimen)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Fouquieria macdougalii"
 ]
}

 The dataset includes 465 records from 36 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001852-260221153910048/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3t29qw
title: Occurrence Download

description: A dataset containing 67 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Specimen)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Fouquieria shrevei"
 ]
}

 The dataset includes 67 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001853-260221153910048/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.31386739
title: Um Survey sobre Comunidades de Prática no Ensino Remoto de Computação

description: Um Survey sobre Comunidades de Prática no Ensino Remoto de Computação.
DOI: 10.6084/m9.figshare.31386739.v1
title: Um Survey sobre Comunidades de Prática no Ensino Remoto de Computação

description: Um Survey sobre Comunidades de Prática no Ensino Remoto de Computação.
DOI: 10.15468/dl.g5nhqs
title: Occurrence Download

description: A dataset containing 39 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Specimen)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Fouquieria leonilae"
 ]
}

 The dataset includes 39 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001854-260221153910048/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.31386710
title: Extraction of <i>Phyllanthus emblica L.</i>flavonoids by ultrasound-assisted enzymatic hydrolysis method and antioxidant stress effects

description: This research used ultrasound-assisted enzymatic hydrolysis (UEAE) to extract flavonoids from <i>Phyllanthus emblica L.</i>, and combined Plackett-Burman experiments (PB) and response surface experiments (RSM) to optimise the extraction process of UEAE. Under optimal conditions, the <i>Phyllanthus emblica L.</i> flavonoids (PEF) yield reached 10.04 ± 0.40%, which was 65% higher than that obtained by the traditional thermal reflux method. Purification with AB-8 macroporous resin achieved a final PEF purity of 70.29%. Passed the free radical scavenging experiment, and intracellular levels of glutathione (7.82 μmol/gprot), total superoxide dismutase (74.96 U/mgprot), catalase (14.21 U/mgprot), malondialdehyde (18.87 nmol/mgprot), and reactive oxygen species (ROS) experiments, PEF effectively mitigated the oxidative stress damage in H<sub>2</sub>O<sub>2</sub>-induced RAW264.7 cells. These experimental results indicated that purified PEF exhibited excellent antioxidant stress activity. This study provides data references for the development and application of <i>Phyllanthus emblica L.</i> in sectors such as food and pharmaceuticals.
DOI: 10.6084/m9.figshare.31386710.v1
title: Extraction of <i>Phyllanthus emblica L.</i>flavonoids by ultrasound-assisted enzymatic hydrolysis method and antioxidant stress effects

description: This research used ultrasound-assisted enzymatic hydrolysis (UEAE) to extract flavonoids from <i>Phyllanthus emblica L.</i>, and combined Plackett-Burman experiments (PB) and response surface experiments (RSM) to optimise the extraction process of UEAE. Under optimal conditions, the <i>Phyllanthus emblica L.</i> flavonoids (PEF) yield reached 10.04 ± 0.40%, which was 65% higher than that obtained by the traditional thermal reflux method. Purification with AB-8 macroporous resin achieved a final PEF purity of 70.29%. Passed the free radical scavenging experiment, and intracellular levels of glutathione (7.82 μmol/gprot), total superoxide dismutase (74.96 U/mgprot), catalase (14.21 U/mgprot), malondialdehyde (18.87 nmol/mgprot), and reactive oxygen species (ROS) experiments, PEF effectively mitigated the oxidative stress damage in H<sub>2</sub>O<sub>2</sub>-induced RAW264.7 cells. These experimental results indicated that purified PEF exhibited excellent antioxidant stress activity. This study provides data references for the development and application of <i>Phyllanthus emblica L.</i> in sectors such as food and pharmaceuticals.
DOI: 10.5281/zenodo.18234406
title: Effects of technology-enhanced learning on engagement, cognitive load, social presence, and self-efficacy in English language learning: A scoping review.
DOI: 10.5281/zenodo.18734409
title: Effects of technology-enhanced learning on engagement, cognitive load, social presence, and self-efficacy in English language learning: A scoping review.
DOI: 10.5281/zenodo.18705883
title: Magnetotelluric EDI dataset from Lake Albert, Uganda

description: This dataset contains magnetotelluric (MT) EDI files referenced to true north. The data used in this work were collected from 57 wideband MT stations distributed around Lake Albert during three survey phases. Survey profiles were designed with approximately 20 km station spacing.

Data acquisition was conducted using Phoenix Geophysics’ ultra-wideband system equipped with an MTU-5C receiver, in collaboration with the Uganda Directorate of Geological Survey and Mines (UDGSM). For logistical efficiency, stations were positioned near accessible roads while maintaining sufficient distance to minimize cultural and environmental noise.

At each site, time-series data were recorded for 2–3 days, producing high-quality broadband measurements over a period range of approximately 0.03 seconds (37.5 Hz) to ~2000 seconds. The time-series data were processed using Phoenix Geophysics’ EMPower software, which applies robust processing algorithms to reduce the effects of outliers and noise. A simultaneously recorded nearby station served as a remote reference to further minimize local bias.
DOI: 10.5281/zenodo.18705882
title: Magnetotelluric EDI dataset from Lake Albert, Uganda

description: This dataset contains magnetotelluric (MT) EDI files referenced to true north. The data used in this work were collected from 57 wideband MT stations distributed around Lake Albert during three survey phases. Survey profiles were designed with approximately 20 km station spacing.

Data acquisition was conducted using Phoenix Geophysics’ ultra-wideband system equipped with an MTU-5C receiver, in collaboration with the Uganda Directorate of Geological Survey and Mines (UDGSM). For logistical efficiency, stations were positioned near accessible roads while maintaining sufficient distance to minimize cultural and environmental noise.

At each site, time-series data were recorded for 2–3 days, producing high-quality broadband measurements over a period range of approximately 0.03 seconds (37.5 Hz) to ~2000 seconds. The time-series data were processed using Phoenix Geophysics’ EMPower software, which applies robust processing algorithms to reduce the effects of outliers and noise. A simultaneously recorded nearby station served as a remote reference to further minimize local bias.
DOI: 10.15468/dl.3e8bcq
title: Occurrence Download

description: A dataset containing 13012 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Spodoptera frugiperda"
 ]
}

 The dataset includes 13012 records from 67 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001855-260221153910048/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ukqyqj
title: Occurrence Download

description: A dataset containing 105006 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Observation, Human Observation, Specimen)",
 "Geometry POLYGON((-108.67 32.76,-88.88 32.76,-88.88 37.7,-108.67 37.7,-108.67 32.76))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "License is one of (CC-BY-NC 4.0, CC-BY 4.0, CC0 1.0)",
 "OccurrenceStatus is Present",
 "TaxonKey is Fungi"
 ]
}

 The dataset includes 105006 records from 152 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001831-260221153910048/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15156/bio/sh1393442.10fu
title: SH1393442.10FU

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/sh1393445.10fu
title: SH1393445.10FU

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.