cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.u4mjdm
title: Occurrence Download

description: A dataset containing 21813 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Desmodus rotundus (E.Geoffroy, 1810)"
 ]
}

 The dataset includes 21813 records from 358 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006102-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25345/c5x63bh6v
title: MassIVE MSV000096367 - PF200 collection of natural plant extracts
title: UHPLC-PDA-HRMSMS data in pos and neg modes for a collection of plants derived from the Pierre-Fabre laboratories collection
DOI: 10.5281/zenodo.14063438
title: СОСТОЯНИЕ И ПЕРСПЕКТИВЫ ПОВЫШЕНИЯ КВАЛИФИКАЦИИ ВРАЧЕЙ МЕДИКО-СОЦИАЛЬНЫХ ЭКСПЕРТНЫХ И ВРАЧЕБНО-КОНСУЛЬТАТИВНЫХ КОМИССИЙ В РЕСПУБЛИКЕ УЗБЕКИСТАН.
DOI: 10.5281/zenodo.14063439
title: СОСТОЯНИЕ И ПЕРСПЕКТИВЫ ПОВЫШЕНИЯ КВАЛИФИКАЦИИ ВРАЧЕЙ МЕДИКО-СОЦИАЛЬНЫХ ЭКСПЕРТНЫХ И ВРАЧЕБНО-КОНСУЛЬТАТИВНЫХ КОМИССИЙ В РЕСПУБЛИКЕ УЗБЕКИСТАН.
DOI: 10.5281/zenodo.10714984
title: Elasticities of CaCO3 high-pressure phases under high pressure and temperature conditions
DOI: 10.5281/zenodo.10714985
title: Elasticities of CaCO3 high-pressure phases under high pressure and temperature conditions
DOI: 10.5281/zenodo.14063437
title: Elasticities of CaCO3 high-pressure phases under high pressure and temperature conditions
DOI: 10.5281/zenodo.14063407
title: An Analysis of Plant Disease and Their Detection

description: One of the biggest revolutions of modern history is the invention of agriculture for a healthier lifestyle. It significantly changed the human culture and played an important role in the development of the population and biological improvements in food production and domestication. The frequency of pests on food crops increased because environmental circumstances were changing, and diseases on crops increased rapidly. These diseases inflict catastrophic social, economic, and ecological casualties, and this extraordinary challenge is a concern for the correct and prompt detection of diseases. In this contest, technology has left its mark on the potential of farmers and is still to be exploited. As input for making the right decision, farmers need timely and credible sources of knowledge. Study into Agriculture have to be planned by improving the disease diagnostics method with the use of newer technology to enhance efficiency and quantity for agricultural production and its allied operation. In various applications of the agricultural industry, computer methodologies have been used for automation. Timely farming decisions and disease management are taken using image analysis and machinery of learning techniques in planning and creating a method for the diagnosis of diseases.
DOI: 10.5281/zenodo.14063408
title: An Analysis of Plant Disease and Their Detection

description: One of the biggest revolutions of modern history is the invention of agriculture for a healthier lifestyle. It significantly changed the human culture and played an important role in the development of the population and biological improvements in food production and domestication. The frequency of pests on food crops increased because environmental circumstances were changing, and diseases on crops increased rapidly. These diseases inflict catastrophic social, economic, and ecological casualties, and this extraordinary challenge is a concern for the correct and prompt detection of diseases. In this contest, technology has left its mark on the potential of farmers and is still to be exploited. As input for making the right decision, farmers need timely and credible sources of knowledge. Study into Agriculture have to be planned by improving the disease diagnostics method with the use of newer technology to enhance efficiency and quantity for agricultural production and its allied operation. In various applications of the agricultural industry, computer methodologies have been used for automation. Timely farming decisions and disease management are taken using image analysis and machinery of learning techniques in planning and creating a method for the diagnosis of diseases.
DOI: 10.15468/dl.5qd6sq
title: Occurrence Download

description: A dataset containing 186 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Spain",
 "OccurrenceStatus is Present",
 "TaxonKey is Ericaria selaginoides (Linnaeus) Molinari & Guiry, 2020",
 "Year 2000-2024"
 ]
}

 The dataset includes 186 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006103-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14063449
title: СУПРУЖЕСКАЯ ТРАВМА СРЕДИ НАСЕЛЕНИЯ И ДЕТЕЙ, ЕЕ МЕДИКО-СОЦИАЛЬНЫЕ АСПЕКТЫ.
DOI: 10.5281/zenodo.14063450
title: СУПРУЖЕСКАЯ ТРАВМА СРЕДИ НАСЕЛЕНИЯ И ДЕТЕЙ, ЕЕ МЕДИКО-СОЦИАЛЬНЫЕ АСПЕКТЫ.
DOI: 10.15468/dl.r359v8
title: Occurrence Download

description: A dataset containing 186 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Spain",
 "OccurrenceStatus is Present",
 "TaxonKey is Ericaria selaginoides (Linnaeus) Molinari & Guiry, 2020",
 "Year 2000-2024"
 ]
}

 The dataset includes 186 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006104-241107131044228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.j23t38
title: Occurrence Download

description: A dataset containing 579422 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Forestry Inventory 2015"
 ]
}

 The dataset includes 579422 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006099-241107131044228/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.27643907
title: Demonstrating b-coloring of generalized Jahangir graphs for representing complex manufacturing process

description: A graph’s b-coloring admits proper coloring and has the extra characteristic of having a dominating node in each color-class in the graph. φ(G), the b-chromatic number, is the largest integer k for which G can be colored with k colors using the b-coloring method. G is said to be b-continuous if b-coloring exists for ∀k, meeting the inequality χ(G)≤k≤φ(G). The <i>b</i>-spectrum Sb(G) of a graph <i>G</i> is the set of all integers <i>k</i> for which a <i>b</i>-coloring of <i>G</i> exists using <i>k</i> colors. <i>b</i>-Chromatic number, <i>b</i>-continuity and <i>b</i>-spectrum of generalized Jahangir graphs and that of line graph of generalized Jahangir graphs are determined in this work and the concept of b-coloring of the generalized Jahangir graph has also been extended to represent complex manufacturing processes to enhance visualization. Investment casting is a highly complex manufacturing process widely accepted for manufacturing high-valued metallic components. The concept of b-coloring has been employed to represent investment casting. This has created a great platform to combine the approach of graph theory with a complex manufacturing process, which can be explored to perform various tasks associated with scheduling and optimization in future work.
DOI: 10.6084/m9.figshare.27643907.v1
title: Demonstrating b-coloring of generalized Jahangir graphs for representing complex manufacturing process

description: A graph’s b-coloring admits proper coloring and has the extra characteristic of having a dominating node in each color-class in the graph. φ(G), the b-chromatic number, is the largest integer k for which G can be colored with k colors using the b-coloring method. G is said to be b-continuous if b-coloring exists for ∀k, meeting the inequality χ(G)≤k≤φ(G). The <i>b</i>-spectrum Sb(G) of a graph <i>G</i> is the set of all integers <i>k</i> for which a <i>b</i>-coloring of <i>G</i> exists using <i>k</i> colors. <i>b</i>-Chromatic number, <i>b</i>-continuity and <i>b</i>-spectrum of generalized Jahangir graphs and that of line graph of generalized Jahangir graphs are determined in this work and the concept of b-coloring of the generalized Jahangir graph has also been extended to represent complex manufacturing processes to enhance visualization. Investment casting is a highly complex manufacturing process widely accepted for manufacturing high-valued metallic components. The concept of b-coloring has been employed to represent investment casting. This has created a great platform to combine the approach of graph theory with a complex manufacturing process, which can be explored to perform various tasks associated with scheduling and optimization in future work.
DOI: 10.21227/q7ae-2809
title: Data_1

description: The PdM_telemetry Dataset (D_1) is a synthetic dataset designed to support predictive maintenance (PdM) research for IIoT (Industrial Internet of Things) devices by providing sensor-based telemetry data. This dataset initially comprises 97,210 records and 30 features, including a binary target feature, 'failure', which indicates whether a device will fail within the next 24 hours. The remaining features, such as device operational metrics and error counts, serve as predictors. Data preprocessing steps involved creating additional features from timestamp values and consolidating error count indicators to streamline analysis. Due to class imbalance, with only 0.70% of samples classified as failures, the dataset was balanced using the SMOTE algorithm to achieve equal representation of failure and non-failure cases. Further enhancement was performed by generating 38,085 synthetic samples using the Gretel.ai platform, enriching the dataset's variability and relevance for machine learning model training. This dataset is intended for developing and evaluating predictive models for IIoT device failure, contributing to more accurate and timely maintenance interventions.
DOI: 10.15468/dl.qm6mxy
title: Occurrence Download

description: A dataset containing 1172 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is North America",
 "Country is Canada",
 "DatasetKey is iNaturalist Research-grade Observations",
 "LifeStage is Adult",
 "Month is June",
 "OccurrenceStatus is Present",
 "PublishingOrg is 28eb1a3f-1c15-4a95-931a-4af90ecb574d",
 "TaxonKey is Danaus plexippus (Linnaeus, 1758)"
 ]
}

 The dataset includes 1172 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006106-241107131044228/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.26213915
title: Code to reproduce the simulations in "Population variability across geographic ranges: perspectives and challenges"

description: Code to reproduce the simulations in: "Population variability across geographic ranges: perspectives and challenges"Spat_VarNA.R has the code to reproduce the simulations presented in box 1 that looks at how the shape of the performance curve can lead to different spatial patterns of population variabilityEnv_Var.R has the code to reproduce the simulations presented in the section "Potential effects of changing environmental conditions on population variability" that looks at how environmental variability affects population variability depending on where a population occurs along the species performance curve
DOI: 10.6084/m9.figshare.26213915.v1
title: Code to reproduce the simulations in "Population variability across geographic ranges: perspectives and challenges"

description: Code to reproduce the simulations in: "Population variability across geographic ranges: perspectives and challenges"Spat_VarNA.R has the code to reproduce the simulations presented in box 1 that looks at how the shape of the performance curve can lead to different spatial patterns of population variabilityEnv_Var.R has the code to reproduce the simulations presented in the section "Potential effects of changing environmental conditions on population variability" that looks at how environmental variability affects population variability depending on where a population occurs along the species performance curve
DOI: 10.15468/dl.33x8g2
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Eleocharis swamyi Govind."
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006107-241107131044228/datasets/export for details.
DOI: 10.15468/dl.wdshea
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Eleocharis swamyi Govind."
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006108-241107131044228/datasets/export for details.
DOI: 10.5281/zenodo.14063479
title: GLOBAL BRENDLARNI BOSHQARISH USULLARINING QIYOSIY TAHLILI
DOI: 10.5281/zenodo.14063480
title: GLOBAL BRENDLARNI BOSHQARISH USULLARINING QIYOSIY TAHLILI
DOI: 10.15468/dl.tm2d5m
title: Occurrence Download

description: A dataset containing 1598 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Mimosa tenuiflora (Willd.) Poir."
 ]
}

 The dataset includes 1598 records from 103 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006109-241107131044228/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.30489863.v1
title: Material complementar - RSL Desinformação

description: Material complementar da Revisão Sistemática de Literatura sobre Desinformação desenvolvida por Maurílio Luiz Hoffmann da Silva e publicada na Revista Ação Midiática.
DOI: 10.15156/bio/sh0178104.10fu
title: SH0178104.10FU

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/sh0178105.10fu
title: SH0178105.10FU

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/sh0178106.10fu
title: SH0178106.10FU

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/sh0178107.10fu
title: SH0178107.10FU

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/sh0178108.10fu
title: SH0178108.10FU

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/sh0178109.10fu
title: SH0178109.10FU

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/sh0178110.10fu
title: SH0178110.10FU

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/sh0178111.10fu
title: SH0178111.10FU

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.