cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.26188/28748210
title: Impact of Envelope Retrofitting Measures on a Building’s Life Cycle Greenhouse Gas Emissions in India: A Case Study

description: In India, the greenhouse gas emission (GHGE) from the residential stock is projected to increase exponentially over the next decade unless retrofitting measures (RMs) are implemented. Conventionally, RMs are applied to reduce the operational GHGE (OGHGE) of the existing building stock. However, the life cycle GHGE (LCGHGE) perspective is consistently omitted in building codes, thereby, not accounting for embodied GHGE (EGHGE). This study addresses this gap by evaluating the LCGHGE associated with various building envelope RMs. A case study approach has been adopted and is considered as the reference model for application of 63 retrofitting configurations. Each retrofitted configuration has resulted in a distinct retrofitted model accounting for 64 models, which includes the reference model. The primary operational energy has been deduced adopting Indian primary energy factor after end use energy simulation in the DesignBuilder software. Subsequently, the life cycle OGHGE is quantified by utilising Indian GHGE factors, while the life cycle EGHGE is calculated adopting process analysis. 44 out of 63 models projected a LCGHGE saving of 0.08-16.79 tCO2e across 50 years of life, revealing that incorporation of RMs do not constantly yield LCGHGE savings. These findings highlight valuable insights for retrofitting related decision making, policies and guidelines.
DOI: 10.26188/28748210.v1
title: Impact of Envelope Retrofitting Measures on a Building’s Life Cycle Greenhouse Gas Emissions in India: A Case Study

description: In India, the greenhouse gas emission (GHGE) from the residential stock is projected to increase exponentially over the next decade unless retrofitting measures (RMs) are implemented. Conventionally, RMs are applied to reduce the operational GHGE (OGHGE) of the existing building stock. However, the life cycle GHGE (LCGHGE) perspective is consistently omitted in building codes, thereby, not accounting for embodied GHGE (EGHGE). This study addresses this gap by evaluating the LCGHGE associated with various building envelope RMs. A case study approach has been adopted and is considered as the reference model for application of 63 retrofitting configurations. Each retrofitted configuration has resulted in a distinct retrofitted model accounting for 64 models, which includes the reference model. The primary operational energy has been deduced adopting Indian primary energy factor after end use energy simulation in the DesignBuilder software. Subsequently, the life cycle OGHGE is quantified by utilising Indian GHGE factors, while the life cycle EGHGE is calculated adopting process analysis. 44 out of 63 models projected a LCGHGE saving of 0.08-16.79 tCO2e across 50 years of life, revealing that incorporation of RMs do not constantly yield LCGHGE savings. These findings highlight valuable insights for retrofitting related decision making, policies and guidelines.
DOI: 10.26188/28748210.v2
title: Impact of Envelope Retrofitting Measures on a Building’s Life Cycle Greenhouse Gas Emissions in India: A Case Study

description: In India, the greenhouse gas emission (GHGE) from the residential stock is projected to increase exponentially over the next decade unless retrofitting measures (RMs) are implemented. Conventionally, RMs are applied to reduce the operational GHGE (OGHGE) of the existing building stock. However, the life cycle GHGE (LCGHGE) perspective is consistently omitted in building codes, thereby, not accounting for embodied GHGE (EGHGE). This study addresses this gap by evaluating the LCGHGE associated with various building envelope RMs. A case study approach has been adopted and is considered as the reference model for application of 63 retrofitting configurations. Each retrofitted configuration has resulted in a distinct retrofitted model accounting for 64 models, which includes the reference model. The primary operational energy has been deduced adopting Indian primary energy factor after end use energy simulation in the DesignBuilder software. Subsequently, the life cycle OGHGE is quantified by utilising Indian GHGE factors, while the life cycle EGHGE is calculated adopting process analysis. 44 out of 63 models projected a LCGHGE saving of 0.08-16.79 tCO2e across 50 years of life, revealing that incorporation of RMs do not constantly yield LCGHGE savings. These findings highlight valuable insights for retrofitting related decision making, policies and guidelines.
DOI: 10.15468/dl.xq24en
title: Occurrence Download

description: A dataset containing 14 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Rattus rattus",
 "Country is Kiribati",
 "HasCoordinate is true"
 ]
}

 The dataset includes 14 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021397-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.16263461
title: The dataset for "Temperature-Dependent Nuclear Spatial Distributions in Muoniated Benzene via Path Integral Molecular Dynamics"
DOI: 10.5281/zenodo.16263462
title: The dataset for "Temperature-Dependent Nuclear Spatial Distributions in Muoniated Benzene via Path Integral Molecular Dynamics"
DOI: 10.15468/dl.a5etfr
title: Occurrence Download

description: A dataset containing 7014 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Robinia pseudoacacia",
 "Country is Spain",
 "HasCoordinate is true"
 ]
}

 The dataset includes 7014 records from 61 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021398-250717081556266/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.28784414.v4
title: Data availability statement

description: The folder " Analyzed Datasets for Figures and supplementl Figures" contains the datasets for all figures and supplemental figures generated during data analysis. The folder "Gene Expression Matrix" contains the single-cell resolution expression matrix of detected genes with spatial positional information for all images. The folder "Supplemental Information" includes supplemental methods and materials, supplemental figures with legends, and supplemental table with legends.
DOI: 10.15468/dl.27zxju
title: Occurrence Download

description: A dataset containing 2978 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (Chinese Taipei, China)",
 "TaxonKey is Cyperus rotundus"
 ]
}

 The dataset includes 2978 records from 51 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021399-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.69ubvc
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Setaria helvola",
 "Country is Netherlands",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021400-250717081556266/datasets/export for details.
DOI: 10.15468/dl.vqn4n9
title: Occurrence Download

description: A dataset containing 65236 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Epargyreus clarus"
 ]
}

 The dataset includes 65236 records from 98 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021330-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.tuhazy
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Setaria helvola",
 "Country is Papua New Guinea",
 "HasCoordinate is true"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021401-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vy2dxc
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Setaria helvola",
 "Country is Samoa",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021402-250717081556266/datasets/export for details.
DOI: 10.6084/m9.figshare.29607851.v1
title: <b>Allocation of responsibility for carbon emission reduction, carbon sequestration pathways and high-quality development of agriculture from the perspective of the Agricultural Industrialization Coalition</b>

description: Green agriculture is necessary for high-quality agricultural development, emphasizing ecological protection, resource conservation, and product quality for sustainable growth. This study adopts a dynamic deductive approach to investigate the responsibility and pathways for reducing carbon emissions in agriculture. The study assessed the changes in total factor productivity of green agriculture in Chinese provinces using the SBM-GML index model. The study also assessed agricultural modernization, high-quality development, and sectoral coordination through the entropy model and coupled coordination model. Spatial autocorrelation and Markov chain methods were applied to analyze trends. The results of the study elucidated the carbon emission reduction model of “Government &gt; Agricultural Industrialization Entrepreneurs &gt; Farmers”, in which government policies, green technology promotion, and low-carbon practices are key. Pilot policy innovations by agricultural industrialization coalitions have significantly contributed to agricultural development, demonstrating positive effects in terms of coupling coordination, green productivity growth, and modernization. In most regions, technological innovation has mainly contributed to green productivity growth, but the phenomenon of “the strong getting stronger and the weak getting weaker ”persists. The geographical distribution of high-quality agricultural development remains stable, interregional mobility is low, and the spatial lag effect is evident in the stage of regional development. The main objective of this study is to provide policy recommendations for promoting the development of green agriculture and enhancing high-quality development in China.
DOI: 10.15468/dl.4tkz6s
title: Occurrence Download

description: A dataset containing 228488 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Matricaria discoidea, Matricaria graveolens, Anthemis inconspicua, Pyrethrum breviradiatum, Santolina suaveolens, Matricaria graveolens discoidea, Matricaria matricaroides, Chrysanthemum discodes, Pyrethrum defloratum, Matricaria graveolens graveolens, Matricaria graveolens discoidea, Chamomilla discoidea, Camomilla deflexa, Matricaria graveolens graveolens, Cotula matricarioides, Tanacetum matricarioides, Chrysanthemum discoides, Artemisia matricarioides, Chrysanthemum discoideum, Matricaria deflexa, Matricaria tanacetoides, Tanacetum pauciflorum, Pyrethrum breviradiatum, Anthemis inconspicua, Matricaria suaevolens, Tanacetum suaveolens, Matricaria suaveolens, Chrysanthemum suaveolens, Lepidotheca suaveolens, Chamomilla suaveolens, Matricaria suaveolens, Akylopsis suaveolens, Lepidanthus suaveolens, Matricaria matricarioides, Chamomilla discoidea, Matricaria matricarioides)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 2000"
 ]
}

 The dataset includes 228488 records from 1319 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021394-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7bfghz
title: Occurrence Download

description: A dataset containing 102 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is iNaturalist Research-grade Observations",
 "GadmGid is IND",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Sitana ponticeriana"
 ]
}

 The dataset includes 102 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021404-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.sks7dz
title: Occurrence Download

description: A dataset containing 7872 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Europe",
 "Country is France",
 "DatasetKey is one of (Données naturalistes opportunistes Faune-France - Données Naturalistes Faune-France 2020 Communes, Atlas des papillons de jour et des libellules du Languedoc-Roussillon-Données CEN L-R papillons/libellule, SILENE-FAUNE-PACA - Parc_National_des_Ecrins_2017_12_18, Dreal Occitanie- Base Biodiv SINP - Données faune pour le rapportage européen DHFF-DO 2018, 2021_LPO PACA_6, SILENE-FAUNE-PACA - CEN_PACA_2017_12_18, Observations faune et flore du Parc national des Écrins, iNaturalist Research-grade Observations, Données invertébrés saisies sous BioloVision Auvergne-Rhône-Alpes - VisioNature opportuniste, Observation.org, Nature data from around the World)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "PublishingOrg is one of (1928bdf0-f5d2-11dc-8c12-b8a03c50a862, c8d737e0-2ff8-42e8-b8fc-6b805d26fc5f, 28eb1a3f-1c15-4a95-931a-4af90ecb574d)",
 "TaxonKey is Parnassius apollo",
 "Year 2010-2024"
 ]
}

 The dataset includes 7872 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021405-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4ekzq7
title: Occurrence Download

description: A dataset containing 5936 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Melochia spicata"
 ]
}

 The dataset includes 5936 records from 257 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021403-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.33bh6n
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Chitala chitala",
 "Country is Sri Lanka",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008106-251009101135966/datasets/export for details.
DOI: 10.15156/bio/sh0159578.10fu
title: SH0159578.10FU

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/sh0159579.10fu
title: SH0159579.10FU

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/sh0159580.10fu
title: SH0159580.10FU

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/sh0159581.10fu
title: SH0159581.10FU

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/sh0159582.10fu
title: SH0159582.10FU

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/sh0159583.10fu
title: SH0159583.10FU

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/sh0159584.10fu
title: SH0159584.10FU

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.ab545e
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Impatiens angustiflora",
 "GadmGid is IND"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000977-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.