cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.14357751
title: MoFuSS global simulations 1km 2010-2050

description: This dataset repository serves as the official MoFuSS repository utilized by the Methodological Panel (MP) of the UNFCCC to formulate recommendations to the Executive Board regarding the adoption of default fNRB values for cookstove methodologies.

Values can be consulted interactively in the MoFuSS webpage. 

Please read this documentation carefully.

All results are presented as the mean and standard error (SE) of the Monte Carlo simulation, with n representing the number of Monte Carlo realizations (i.e., the total number of model runs, 30 in this case).

Folder structure for current results and eventual revisions

Results are organized by their format: 1) tables, 2) vector layers, and 3) raster layers. Following, we describe the organization of variables for each of these three types

Tables

All tables are in comma-separated values (.csv) format and they basically show summary results for different administrative disaggregations: by country (adm0), by first administrative level (adm1), and by second or third administrative level (adm2).  

Within each of these two groups, with and without uncertainty, three variables are reported:



Non-Renewable Biomass (NRB): representing the total amount of woody biomass in any given period that was lost from the original stock due to unsustainable harvesting for energy purposes, in tonnes of air dried biomass;

Woody biomass harvest (Harv): representing the total harvest of wood for fuelwood and charcoal in any given period in tonnes of air dried biomass;

Fraction of Non-Renewable Biomass (fNRB): representing the ratio among these two variables for any given period, in percentage.


Vector layers

Data in vector layers is essentially the same as .csv tables, with the only difference that they can be easily displayed in a Geographic Information System. All three administrative levels are saved within a single geopackage file.

Note that when the file ends in “_simp”, it means that all polygons were simplified to a certain extent in order to make files lighter and easier to manipulate and display, as compared to the original ones.  

Raster layers

As mentioned in the project report submitted to UNFCCC, all MoFuSS results are first produced as raster layers, before any aggregation by administrative units. The raster layers shared in the project output folder, which represent only a handful of MoFuSS outcomes, have all a resolution of 1000 meters, and their projected coordinate system is WGS 84 / World Mercator (EPSG:3395). They all share the same origin and extent.



Non-Renewable Biomass (NRB):Net loss of aboveground biomass in tDM per km2 for the entire simulation period for the first Monte Carlo realization. Pixels that experienced a net growth or no change are rendered as zero.

Woody biomass harvest (Harv): Woody biomass harvested and/or collected in tDM per km2 for the entire simulation period.


 

Contact: aghilardi@ciga.unam.mx
DOI: 10.5281/zenodo.14357752
title: MoFuSS global simulations 1km 2010-2050

description: Consolidating documentation into zono-repo description tools. This will be refreshed on Dec 10th 2024 into v2.
DOI: 10.5281/zenodo.14378632
title: MoFuSS global simulations 1km 2010-2050

description: This dataset repository accompanies the forthcoming manuscript on MoFuSS's global 1km simulations for 2010-2050. The repository may be updated frequently as the manuscript evolves toward submission. While the core values are unlikely to change, additional files and documentation may be added.

<<The documentation describing the dataset and how can be used is being uploaded around noon ET time Dec 11 2024>>
DOI: 10.5281/zenodo.15054385
title: MoFuSS global simulations 1km 2010-2050

description: This dataset repository serves as the official MoFuSS repository utilized by the Methodological Panel (MP) of the UNFCCC to formulate recommendations to the Executive Board regarding the adoption of default fNRB values for cookstove methodologies.

Values can be consulted interactively in the MoFuSS webpage. 

Please read this documentation carefully.

All results are presented as the mean and standard error (SE) of the Monte Carlo simulation, with n representing the number of Monte Carlo realizations (i.e., the total number of model runs, 30 in this case).

Folder structure for current results and eventual revisions

Results are organized by their format: 1) tables, 2) vector layers, and 3) raster layers. Following, we describe the organization of variables for each of these three types

Tables

All tables are in comma-separated values (.csv) format and they basically show summary results for different administrative disaggregations: by country (adm0), by first administrative level (adm1), and by second or third administrative level (adm2).  

Within each of these two groups, with and without uncertainty, three variables are reported:



Non-Renewable Biomass (NRB): representing the total amount of woody biomass in any given period that was lost from the original stock due to unsustainable harvesting for energy purposes, in tonnes of air dried biomass;

Woody biomass harvest (Harv): representing the total harvest of wood for fuelwood and charcoal in any given period in tonnes of air dried biomass;

Fraction of Non-Renewable Biomass (fNRB): representing the ratio among these two variables for any given period, in percentage.


Vector layers

Data in vector layers is essentially the same as .csv tables, with the only difference that they can be easily displayed in a Geographic Information System. All three administrative levels are saved within a single geopackage file.

Note that when the file ends in “_simp”, it means that all polygons were simplified to a certain extent in order to make files lighter and easier to manipulate and display, as compared to the original ones.  

Raster layers

As mentioned in the project report submitted to UNFCCC, all MoFuSS results are first produced as raster layers, before any aggregation by administrative units. The raster layers shared in the project output folder, which represent only a handful of MoFuSS outcomes, have all a resolution of 1000 meters, and their projected coordinate system is WGS 84 / World Mercator (EPSG:3395). They all share the same origin and extent.



Non-Renewable Biomass (NRB):Net loss of aboveground biomass in tDM per km2 for the entire simulation period for the first Monte Carlo realization. Pixels that experienced a net growth or no change are rendered as zero.

Woody biomass harvest (Harv): Woody biomass harvested and/or collected in tDM per km2 for the entire simulation period.


 

Contact: aghilardi@ciga.unam.mx
DOI: 10.5281/zenodo.14921523
title: NCI calculations for cryospheric resources

description: It contains all the historical snow permanence data for different satellite missions. For the Copiapó River watershed.
DOI: 10.5281/zenodo.14921524
title: NCI calculations for cryospheric resources

description: It contains all the historical snow permanence data for different satellite missions. For the Copiapó River watershed.
DOI: 10.15468/dl.zcaatg
title: Occurrence Download

description: A dataset containing 14852 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Medicago littoralis Rohde ex Loisel.)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 14852 records from 281 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022972-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wxw3dk
title: Occurrence Download

description: A dataset containing 3077 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Strychnos spinosa Lam.",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Human Observation, Living Specimen, Occurrence evidence)"
 ]
}

 The dataset includes 3077 records from 82 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022975-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14921457
title: NCI calculations for cryospheric reserves

description: It corresponds to the data on the basic statistics of each cryoform, as well as the calculations of ice volumes and associated uncertainties.
DOI: 10.5281/zenodo.14921458
title: NCI calculations for cryospheric reserves

description: It corresponds to the data on the basic statistics of each cryoform, as well as the calculations of ice volumes and associated uncertainties.
DOI: 10.6084/m9.figshare.28645343
title: Supplementary data.xlsx

description: This study aimed to utilize two publicly available datasets (ProteomeXchange Consortium, Dataset Identifier: PXD043352; Gene Expression Omnibus, GEO: GSE67539) to explore potential age-dependent regulation of presumptive NeuroD2 target genes. Genome-wide NeuroD2 target sequences were filtered and analyzed for potential age-related changes. This approach aimed to shed light on the hypothetical role of NeuroD2 in age-related molecular mechanisms in the hippocampus.
DOI: 10.5281/zenodo.15071194
title: Developing New Biomaterials for Tissue Engineering and Regenerative Medicine

description: Tissue engineering and regenerative medicine offer promising approaches for repairing or replacing damaged tissues and organs. However, the development of biomaterials that can mimic the structure and function of native tissues remains a significant challenge. This study aims to develop new biomaterials for tissue engineering and regenerative medicine applications. Using a combination of natural and synthetic polymers, we have developed a novel biomaterial scaffold that exhibits excellent biocompatibility, biodegradability, and mechanical properties. The scaffold was fabricated using a 3D printing technique and was characterized using various analytical methods, including scanning electron microscopy, atomic force microscopy, and mechanical testing. Our results show that the new biomaterial scaffold supports the growth and differentiation of various cell types, including stem cells, and promotes tissue regeneration in vivo. Additionally, the scaffold exhibits excellent biocompatibility and biodegradability, making it an ideal candidate for tissue engineering and regenerative medicine applications. This study demonstrates the potential of new biomaterials for tissue engineering and regenerative medicine and highlights the need for further research in this area.
DOI: 10.5281/zenodo.15071195
title: Developing New Biomaterials for Tissue Engineering and Regenerative Medicine

description: Tissue engineering and regenerative medicine offer promising approaches for repairing or replacing damaged tissues and organs. However, the development of biomaterials that can mimic the structure and function of native tissues remains a significant challenge. This study aims to develop new biomaterials for tissue engineering and regenerative medicine applications. Using a combination of natural and synthetic polymers, we have developed a novel biomaterial scaffold that exhibits excellent biocompatibility, biodegradability, and mechanical properties. The scaffold was fabricated using a 3D printing technique and was characterized using various analytical methods, including scanning electron microscopy, atomic force microscopy, and mechanical testing. Our results show that the new biomaterial scaffold supports the growth and differentiation of various cell types, including stem cells, and promotes tissue regeneration in vivo. Additionally, the scaffold exhibits excellent biocompatibility and biodegradability, making it an ideal candidate for tissue engineering and regenerative medicine applications. This study demonstrates the potential of new biomaterials for tissue engineering and regenerative medicine and highlights the need for further research in this area.
DOI: 10.6084/m9.figshare.28430210
title: The dataset for "Pseudogap and Fermi arc induced by Fermi surface nesting in a centrosymmetric skyrmion magnet"

description: This is the dataset for "Pseudogap and Fermi arc induced by Fermi surface nesting in a centrosymmetric skyrmion magnet".
DOI: 10.15468/dl.8p3hq6
title: Occurrence Download

description: A dataset containing 328 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Davidia involucrata Baill."
 ]
}

 The dataset includes 328 records from 23 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022977-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.msbjwv
title: Occurrence Download

description: A dataset containing 583119 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Medicago lupulina L.)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 583119 records from 3300 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0022973-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15156/bio/sh1142231.10fu
title: SH1142231.10FU

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/sh1142232.10fu
title: SH1142232.10FU

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/sh1142234.10fu
title: SH1142234.10FU

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/sh1142237.10fu
title: SH1142237.10FU

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/sh1142238.10fu
title: SH1142238.10FU

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/sh1142241.10fu
title: SH1142241.10FU

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/sh1142244.10fu
title: SH1142244.10FU

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/sh1142245.10fu
title: SH1142245.10FU

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/sh1142246.10fu
title: SH1142246.10FU

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.