cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15156/bio/sh0187883.10fu
title: SH0187883.10FU

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/sh0187884.10fu
title: SH0187884.10FU

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/sh0187885.10fu
title: SH0187885.10FU

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/sh0187886.10fu
title: SH0187886.10FU

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/sh0187887.10fu
title: SH0187887.10FU

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/sh0187888.10fu
title: SH0187888.10FU

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/sh0187889.10fu
title: SH0187889.10FU

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: 10.15468/dl.2n7c3q
title: Occurrence Download

description: A dataset containing 1218 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is one of (Andira vermifuga (Mart.) Benth., Andira kuhlmannii Mattos, Andira paniculata Benth., Geoffroea vermifuga Mart., Geoffroea spinulosa Mart.)"
 ]
}

 The dataset includes 1218 records from 99 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0067048-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.r2tk7k
title: Occurrence Download

description: A dataset containing 91 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (Kenya, Indonesia, Colombia)",
 "TaxonKey is Chanos chanos (Forsskål, 1775)"
 ]
}

 The dataset includes 91 records from 22 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0067049-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/x8h99dnhfx.1
title: Data on in vitro assessments of indigenous herbal formulations for Alzheimer's therapy

description: The present study focused on the anti-Alzheimer properties of indigenous herbal formulations via in vitro study. The acetylcholinesterase, butyrylcholinesterase and monoamine oxidase activities are shown in Fig. 1, Fig 2, and Fig. 3, respectively. The data were analyzed with Graph Pad Prism 8.4. The results are presented as the means ± standard deviations (SDs) using t-test.
DOI: 10.6084/m9.figshare.26670864
title: Additional file 2 of Gut microbial ecology and exposome of a healthy Pakistani cohort

description: Additional file 2. The raw data for core microbiome analysis shown in Fig. 1 which includes detailed taxonomic assignment of core ASVs along with occupancy specific information on different sheets.
DOI: 10.6084/m9.figshare.26670864.v1
title: Additional file 2 of Gut microbial ecology and exposome of a healthy Pakistani cohort

description: Additional file 2. The raw data for core microbiome analysis shown in Fig. 1 which includes detailed taxonomic assignment of core ASVs along with occupancy specific information on different sheets.
DOI: 10.6084/m9.figshare.26670867
title: Additional file 3 of Gut microbial ecology and exposome of a healthy Pakistani cohort

description: Additional file 3. Meta data accompanying samples uploaded to the ENA repository PRJEB59240, and contains demographics, dietary, sleeping patterns, and routine life style information.
DOI: 10.6084/m9.figshare.26670867.v1
title: Additional file 3 of Gut microbial ecology and exposome of a healthy Pakistani cohort

description: Additional file 3. Meta data accompanying samples uploaded to the ENA repository PRJEB59240, and contains demographics, dietary, sleeping patterns, and routine life style information.
DOI: 10.17632/2dzmgdmwyz.2
title: Metabologenomic analysis identifies elevated serum sphingosine-1-phosphate as a pathogenic driver of Ménière’s disease

description: This study enrolled a total of 61 Meniere's disease (MD) patients and 31 healthy controls, all Chinese Han ancestry. Our cohort comprised 28 males (45.90%) with a mean age at diagnosis of 53.5 years (range 26-76 years). To investigate the comprehensive molecular underpinnings of MD, we employed an integrative analysis framework: (1) We performed whole-exome sequencing (WES) on 49 patients and 8 controls to identify recurrently deleterious variants; (2) We conducted metabolomics profiling on 58 patients and 25 controls to uncover metabolic alterations associated with MD; (3) By integrating WES and metabolomics data, we established genotype-metabolite associations; (4) We validated our patient-derived insights using MD mouse model with transcriptome and metabolome data; (5) We further elucidated the dynamics of key metabolic pathways with three public single-cell RNA-seq datasets as well as a bulk MD patient peripheral blood mononuclear cells (PBMCs) dataset.
DOI: 10.15468/dl.qhruht
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON ((148.567132 -32.575846, 148.567132 -32.582584, 148.569378 -32.582584, 148.569378 -32.575846, 148.567132 -32.575846))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0067050-240626123714530/datasets/export for details.
DOI: 10.17632/8wykpctk5c.1
title: Dataset for "Investigation of the impact of transition metal (TM) doping on the electronic and optical properties of tin dioxide SnO2: A DFT calculation"

description: # Research Data for "Investigation of the impact of transition metal (TM) doping on the electronic and optical properties of tin dioxide SnO2: A DFT calculation"

## Authors:
- Jaouad Mhalla (Ibn Tofail University Faculty of Sciences)
- Ismail Benaicha (Ibn Tofail University Faculty of Sciences)
- Youssef Qachaou (Ibn Tofail University Faculty of Sciences)
- Amal Yousfi (Ibn Tofail University Faculty of Sciences)
- Elarbi Laghchim (Ibn Tofail University Faculty of Sciences)
- Atika Fahmi (Ibn Tofail University Faculty of Sciences)
- Mohamed Lharch (Ibn Tofail University Faculty of Sciences)
- Khalid Nouneh (Ibn Tofail University Faculty of Sciences)
- Ahmed Qachaou (Ibn Tofail University Faculty of Sciences)
- Mounir Fahoume (Ibn Tofail University Faculty of Sciences)

## Description:
This data set contains the raw and processed data used in the article "Investigation of the impact of transition metal (TM) doping on the electronic and optical properties of tin dioxide SnO2: A DFT calculation"
The data consists of input files, XML files, and result files in DAT format, detailing the effects of transition metal doping on SnO₂.

## Folders:
- SnO2 Folder: This folder contains the files and data related to the pure, undoped tin dioxide (SnO2). It includes input files for setting up simulations, as well as output files like XML and DAT files.
- Fe-doped SnO2 Folder: This folder includes the data and files specific to tin dioxide doped with iron (Fe). It contains input files for setting up simulations with Fe dopants, and output files.
- Co-doped SnO2 Folder: This folder is dedicated to the study of cobalt (Co) doped SnO2. It contains simulation setup files and result files.
- Ni-doped SnO2 Folder: This folder holds the files related to nickel (Ni) doped SnO2. It includes input files for simulations with Ni dopants, as well as output files that analyze the impact of Ni doping on the material’s properties.

## Files:
- *.in: Contains the input files.
- *.xml: Contains the raw data.
- *.dat: Contains the results of the DFT simulations.

## How to Use:
- *.in: Use this file to set up the simulation parameters and initial conditions for analyzing the effect of transition metal doping on SnO₂ and to launch the simulation with Quantum ESPRESSO.
- *.xml: contains detailed information about the simulation results, such as the system's final atomic coordinates, electronic structure, and other relevant data. This file is crucial for analyzing the outcomes of the simulation and for further processing or visualization of the results.
- *.dat: contains specific data extracted from the simulation results, such as calculated properties (e.g., electronic, optical, or magnetic properties) or processed information that can be used for further analysis. These files are often used to store numerical results in a structured format, making them easy to read and analyze with other software tools or scripts.
DOI: 10.15468/dl.rkznvy
title: Occurrence Download

description: A dataset containing 36 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Locality is FAZENDA FAROESTE, MARGEM DIREITA DO RIO SÃO MIGUEL",
 "OccurrenceStatus is Present",
 "TaxonKey is Plantae"
 ]
}

 The dataset includes 36 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0067051-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34770/3yxs-4588
title: Chinese overseas development financing of electric power generation: A comparative analysis

description: Global power generation must rapidly decarbonize by mid-century to meet
 the goal of stabilizing global warming below 2 degree Celsius. To meet
 this objective, multilateral development banks (MDBs) have gradually
 reduced fossil fuel and increased renewable energy financing. Meanwhile,
 globally active national development finance institutions (DFIs) from
 Japan and South Korea have continued to finance overseas coal plants. Less
 is known about the increasingly active Chinese DFIs. Here we construct a
 new dataset of China’s policy banks’ overseas power generation financing
 and compare their technology choices and impact on generation capacity
 with MDBs and Japanese and South Korean DFIs. We find Chinese DFI power
 financing since 2000 has dramatically increased, surpassing other East
 Asian national DFIs and the major MDBs’ collective public sector power
 financing in 2013. As most Chinese DFI financing is currently in coal,
 decarbonization of their power investments will be critical in reducing
 future carbon emissions from recipient countries.
DOI: 10.17632/hzvhmd6jvt.1
title: Scalable and universal prediction of cellular phenotypes

description: Dataset containing the parameters weights learned by Prophet pretrained on different splits across 4.7M experiments. There are 5 different splits with 6 random seeds each. Also, two ways of splitting: testing unseen treatments or testing unseen cell lines. In total: 60 different checkpoints.
DOI: 10.17632/dp66snnxjv.1
title: Changes in the cuticular profile but not aggression of termites along a tropical elevation gradient

description: Supplementary Material from the original research article entitled: “Changes in the cuticular profile but not aggression of Nasutitermes coxipoensis along a tropical elevation gradient”.
Authors: Flavio Camarota, Arleu Barbosa Viana-Junior, Diogo M. Vidal, Frederico de Siqueira Neves. 
ARTICLE INFORMATION: This study investigates the role of elevation on the abundance and composition of CHCs in the termite species Nasutitermes coxipoensis, a widespread termite species in Brazil, as well as its influence on partner recognition and aggressive behaviors. We found an effect of elevation in the chemical profile of CHCs in N. coxipoensis, with an increased abundance of n-alkanes and dimethyl-alkanes with increasing elevation. When evaluating the effect of elevation on the dissimilarity of CHC compounds, we observed that n-alkanes and dimethyl-alkanes were affected differently, but in general, compounds increased their dissimilarity with elevational distance. Finally, changes in CHC profiles did not affect aggression between neighboring colonies along the elevational gradient. Our results indicate that environmental factors play a limited role in shaping the chemical profiles of termites along a tropical elevational gradient, with no influence on aggression between neighboring colonies from distinct elevations.
DOI: 10.34770/rnpp-4t33
title: Data for food consumption strategies in China

description: This dataset provides the data generated during the project analyzing
 ‘Food Consumption Strategies for Addressing Air Pollution, Climate Change,
 Water Use, and Public Health in China’. It includes the code for
 generating the alternative dietary scenarios, for analyzing the health
 impacts of alternative diets, and for visualization of results.
DOI: 10.15468/dl.kq2w62
title: Occurrence Download

description: A dataset containing 231 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON ((148.576115 -32.575846, 148.576115 -32.580338, 148.573869 -32.580338, 148.573869 -32.58483, 148.580607 -32.58483, 148.580607 -32.575846, 148.576115 -32.575846))"
 ]
}

 The dataset includes 231 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0067052-240626123714530/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.26670963
title: Additional file 1 of Comprehensive analysis of m6A modification in lipopolysaccharide-induced acute lung injury in mice

description: Supplementary Material 1
DOI: 10.6084/m9.figshare.26670963.v1
title: Additional file 1 of Comprehensive analysis of m6A modification in lipopolysaccharide-induced acute lung injury in mice

description: Supplementary Material 1
DOI: 10.6084/m9.figshare.26670966
title: Additional file 2 of Comprehensive analysis of m6A modification in lipopolysaccharide-induced acute lung injury in mice

description: Supplementary Material 2
DOI: 10.6084/m9.figshare.26670966.v1
title: Additional file 2 of Comprehensive analysis of m6A modification in lipopolysaccharide-induced acute lung injury in mice

description: Supplementary Material 2
DOI: 10.15468/dl.dwuy36
title: Occurrence Download

description: A dataset containing 15718951 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is International Barcode of Life project (iBOL)"
 ]
}

 The dataset includes 15718951 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0066939-240626123714530/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.26670969
title: Additional file 3 of Comprehensive analysis of m6A modification in lipopolysaccharide-induced acute lung injury in mice

description: Supplementary Material 3
DOI: 10.6084/m9.figshare.26670969.v1
title: Additional file 3 of Comprehensive analysis of m6A modification in lipopolysaccharide-induced acute lung injury in mice

description: Supplementary Material 3
DOI: 10.15468/dl.e9jmvn
title: Occurrence Download

description: A dataset containing 78 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (Kenya, Indonesia, Colombia)",
 "TaxonKey is Coptodon rendalli (Boulenger, 1897)"
 ]
}

 The dataset includes 78 records from 15 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0067053-240626123714530/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.26670993
title: Additional file 1 of Intestinal microbiota and metabolome perturbations in ischemic and idiopathic dilated cardiomyopathy

description: Additional file 1. The microbial relative abundances in patients with ICM, IDCM and HCs at pylum level.
DOI: 10.6084/m9.figshare.26670996
title: Additional file 2 of Intestinal microbiota and metabolome perturbations in ischemic and idiopathic dilated cardiomyopathy

description: Additional file 2. The microbial relative abundances in patients with ICM, IDCM and HCs at genus level.
DOI: 10.6084/m9.figshare.26670996.v1
title: Additional file 2 of Intestinal microbiota and metabolome perturbations in ischemic and idiopathic dilated cardiomyopathy

description: Additional file 2. The microbial relative abundances in patients with ICM, IDCM and HCs at genus level.
DOI: 10.6084/m9.figshare.26670999
title: Additional file 3 of Intestinal microbiota and metabolome perturbations in ischemic and idiopathic dilated cardiomyopathy

description: Additional file 3. Comparative analysis of taxonomic features at the phylum (table 1), family (table 2), and genus (table 3) levels in ICM and IDCM, respectively.
DOI: 10.6084/m9.figshare.26670999.v1
title: Additional file 3 of Intestinal microbiota and metabolome perturbations in ischemic and idiopathic dilated cardiomyopathy

description: Additional file 3. Comparative analysis of taxonomic features at the phylum (table 1), family (table 2), and genus (table 3) levels in ICM and IDCM, respectively.