cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.29089973
title: Data and code for Spatially explicit global assessment of cropland greenhouse gas emissions circa 2020

description: This dataset presents a global spatially explicit cropland management practices and associated greenhouse gas emissions at a 5 arcminute resolution circa 2020.By integrating national and sub-national census surveys, international reports, and literature, we reconstruct synthetic nitrogen fertilizer datasets, depicting the sub-national variability in application rate and fertilizer type across crops. To develop the methodology for estimating manure application and crop residue handling (incorporation and in-field burning) data, we established a crucial linkage between cropland and livestock production systems through supply-demand of feed and crop nutrients. Our manure application estimates accounted for animal-specific age structure and performance, constrained by feed quality. We determined the usages of crop residues for different purposes by balancing the availability of crop production and feed demand of livestock systems. Additionally, we compiled multiple sources on rainfed and irrigated rice systems to represent global variations in water regime management. We combined four global peatland maps, constrained by national peatland area report. Spatially overlaying crop-specific physical areas and peatland extent allowed us to quantify the area of drained peatland utilized for crop cultivation. Our integrated cropland management dataset serves as a robust framework to analyze emission variability across countries, crops, and GHG sources, reflecting differences in climatic conditions, land use patterns, and agricultural practices. We applied IPCC 2006 guidelines and run 500 Monte Carlo simulations using the IPCC 2019 refinement to estimate cropland emissions circa 2020 from a variety of sources, including direct and indirect N<sub>2</sub>O emissions from synthetic fertilizer, manure application, and crop residue incorporation; CO<sub>2</sub> emissions from urea application; CH<sub>4</sub> emissions from rice paddy; CO<sub>2</sub>, N<sub>2</sub>O, and CH<sub>4</sub> emissions from drained peatland for cultivation; and CH<sub>4</sub> and N<sub>2</sub>O emissions from crop residue in-field burning.This dataset contains:<b>Input data</b>:World country distributionWorld Bank region distributionClimate zonesRunoffIrrigationDrained peatlandN fertilizer useN fertilizer typeManureCrop residuesRiceCrop energy<b>Global cropland emissions (average of Monte Carlo simulations)</b>:FertilizerManureResidues incorporationRice CH4PeatlandBurning
DOI: 10.13130/rd_unimi/jmksaw/6ygebg
title: wrapper_test.py
DOI: 10.6084/m9.figshare.29089973.v3
title: Data and code for Spatially explicit global assessment of cropland greenhouse gas emissions circa 2020

description: This dataset presents a global spatially explicit cropland management practices and associated greenhouse gas emissions at a 5 arcminute resolution circa 2020.By integrating national and sub-national census surveys, international reports, and literature, we reconstruct synthetic nitrogen fertilizer datasets, depicting the sub-national variability in application rate and fertilizer type across crops. To develop the methodology for estimating manure application and crop residue handling (incorporation and in-field burning) data, we established a crucial linkage between cropland and livestock production systems through supply-demand of feed and crop nutrients. Our manure application estimates accounted for animal-specific age structure and performance, constrained by feed quality. We determined the usages of crop residues for different purposes by balancing the availability of crop production and feed demand of livestock systems. Additionally, we compiled multiple sources on rainfed and irrigated rice systems to represent global variations in water regime management. We combined four global peatland maps, constrained by national peatland area report. Spatially overlaying crop-specific physical areas and peatland extent allowed us to quantify the area of drained peatland utilized for crop cultivation. Our integrated cropland management dataset serves as a robust framework to analyze emission variability across countries, crops, and GHG sources, reflecting differences in climatic conditions, land use patterns, and agricultural practices. We applied IPCC 2006 guidelines and run 500 Monte Carlo simulations using the IPCC 2019 refinement to estimate cropland emissions circa 2020 from a variety of sources, including direct and indirect N<sub>2</sub>O emissions from synthetic fertilizer, manure application, and crop residue incorporation; CO<sub>2</sub> emissions from urea application; CH<sub>4</sub> emissions from rice paddy; CO<sub>2</sub>, N<sub>2</sub>O, and CH<sub>4</sub> emissions from drained peatland for cultivation; and CH<sub>4</sub> and N<sub>2</sub>O emissions from crop residue in-field burning.This dataset contains:<b>Input data</b>:World country distributionWorld Bank region distributionClimate zonesRunoffIrrigationDrained peatlandN fertilizer useN fertilizer typeManureCrop residuesRiceCrop energy<b>Global cropland emissions (average of Monte Carlo simulations)</b>:FertilizerManureResidues incorporationRice CH4PeatlandBurning
DOI: 10.13130/rd_unimi/jmksaw/wgxefh
title: re_iop.py
DOI: 10.6084/m9.figshare.29089973.v2
title: Data and code for Spatially explicit global assessment of cropland greenhouse gas emissions circa 2020

description: This dataset presents a global spatially explicit cropland management practices and associated greenhouse gas emissions at a 5 arcminute resolution circa 2020.By integrating national and sub-national census surveys, international reports, and literature, we reconstruct synthetic nitrogen fertilizer datasets, depicting the sub-national variability in application rate and fertilizer type across crops. To develop the methodology for estimating manure application and crop residue handling (incorporation and in-field burning) data, we established a crucial linkage between cropland and livestock production systems through supply-demand of feed and crop nutrients. Our manure application estimates accounted for animal-specific age structure and performance, constrained by feed quality. We determined the usages of crop residues for different purposes by balancing the availability of crop production and feed demand of livestock systems. Additionally, we compiled multiple sources on rainfed and irrigated rice systems to represent global variations in water regime management. We combined four global peatland maps, constrained by national peatland area report. Spatially overlaying crop-specific physical areas and peatland extent allowed us to quantify the area of drained peatland utilized for crop cultivation. Our integrated cropland management dataset serves as a robust framework to analyze emission variability across countries, crops, and GHG sources, reflecting differences in climatic conditions, land use patterns, and agricultural practices. We applied IPCC 2006 guidelines and run 500 Monte Carlo simulations using the IPCC 2019 refinement to estimate cropland emissions circa 2020 from a variety of sources, including direct and indirect N<sub>2</sub>O emissions from synthetic fertilizer, manure application, and crop residue incorporation; CO<sub>2</sub> emissions from urea application; CH<sub>4</sub> emissions from rice paddy; CO<sub>2</sub>, N<sub>2</sub>O, and CH<sub>4</sub> emissions from drained peatland for cultivation; and CH<sub>4</sub> and N<sub>2</sub>O emissions from crop residue in-field burning.This dataset contains:<b>Input data</b>:World country distributionWorld Bank region distributionClimate zonesRunoffIrrigationDrained peatlandN fertilizer useN fertilizer typeManureCrop residuesRiceCrop energy<b>Global cropland emissions (average of Monte Carlo simulations)</b>:FertilizerManureResidues incorporationRice CH4PeatlandBurning
DOI: 10.13130/rd_unimi/jmksaw/bmogwz
title: __init__.py
DOI: 10.13130/rd_unimi/jmksaw/qhgscx
title: base.py
DOI: 10.13130/rd_unimi/jmksaw/fgakoc
title: template.py
DOI: 10.15468/vrdsac
title: Happywhale - Commerson's dolphin in South Atlantic Ocean

description: Original provider:
Happywhale

Dataset credits:
Happywhale and contributors

Abstract:
Happywhale.com is a resource to help you know whales as individuals, and to benefit conservation science with rich data about individual whales.
DOI: 10.13130/rd_unimi/jmksaw/ytr42s
title: split.py
DOI: 10.13130/rd_unimi/jmksaw/iqbhmv
title: pipeline_names.py
DOI: 10.13130/rd_unimi/jmksaw/kt9pox
title: simple.py
DOI: 10.13130/rd_unimi/jmksaw/zeylhp
title: plots.py
DOI: 10.13130/rd_unimi/jmksaw/kf3as6
title: count.py
DOI: 10.13130/rd_unimi/jmksaw/lkcqrf
title: monolithic_models.py
DOI: 10.13130/rd_unimi/jmksaw/ye1xsd
title: sanity_checks.py
DOI: 10.13130/rd_unimi/jmksaw/aakbcu
title: visual_poisoned.py
DOI: 10.13130/rd_unimi/jmksaw/rlmji0
title: 3.0_0.0.tab
DOI: 10.13130/rd_unimi/jmksaw/1seead
title: input.jsonc
DOI: 10.13130/rd_unimi/jmksaw/wbha0b
title: 11.0_0.0.tab
DOI: 10.13130/rd_unimi/jmksaw/zgub5f
title: 11.0_0.0.tab
DOI: 10.13130/rd_unimi/jmksaw/gvkric
title: poisoned.h5netcdf
DOI: 10.13130/rd_unimi/jmksaw/iajxum
title: 5.0_0.0.tab
DOI: 10.13130/rd_unimi/jmksaw/9oogqi
title: 11.0_0.0.tab
DOI: 10.13130/rd_unimi/jmksaw/h7aqcg
title: 10.0_0.0.tab
DOI: 10.13130/rd_unimi/jmksaw/m5dohb
title: 5.0_0.0.tab
DOI: 10.13130/rd_unimi/jmksaw/w2ddzc
title: 9.0_0.0.tab
DOI: 10.13130/rd_unimi/jmksaw/msry4y
title: 8.0_0.0.tab
DOI: 10.5519/qd.elq7qnza
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (482 records)
DOI: 10.13130/rd_unimi/jmksaw/6thkm2
title: m2.tab
DOI: 10.13130/rd_unimi/jmksaw/g2sr8f
title: poisoned.h5netcdf
DOI: 10.13130/rd_unimi/jmksaw/gea2fw
title: 2.0_0.0.tab
DOI: 10.13130/rd_unimi/jmksaw/jwmyrd
title: count.sh
DOI: 10.13130/rd_unimi/jmksaw/n4zlly
title: test.h5netcdf
DOI: 10.13130/rd_unimi/jmksaw/cx4sgl
title: sb.tab
DOI: 10.13130/rd_unimi/jmksaw/qndb42
title: test.h5netcdf
DOI: 10.13130/rd_unimi/jmksaw/bllz6e
title: 4.0_0.0.tab
DOI: 10.13130/rd_unimi/jmksaw/u9ko0b
title: musk2.tab
DOI: 10.13130/rd_unimi/jmksaw/uh392l
title: test.tab
DOI: 10.13130/rd_unimi/jmksaw/4wtpxt
title: clean.h5netcdf
DOI: 10.13130/rd_unimi/jmksaw/vwausy
title: 9.0_0.0.tab
DOI: 10.13130/rd_unimi/jmksaw/8qmdmy
title: 4.0_0.0.tab
DOI: 10.13130/rd_unimi/jmksaw/f3ovp5
title: clean.tab
DOI: 10.13130/rd_unimi/jmksaw/gnla5p
title: 5.0_0.0.tab
DOI: 10.13130/rd_unimi/jmksaw/t1azyj
title: 11.0_0.0.tab
DOI: 10.15468/dl.duz9bk
title: Occurrence Download

description: A dataset containing 1484109 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Branta leucopsis"
 ]
}

 The dataset includes 1484109 records from 605 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0039947-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.13130/rd_unimi/jmksaw/p9cajp
title: 6.0_0.0.tab
DOI: 10.13130/rd_unimi/jmksaw/p2tta1
title: test.h5netcdf
DOI: 10.13130/rd_unimi/jmksaw/dcex2g
title: 2.0_0.0.tab
DOI: 10.13130/rd_unimi/jmksaw/gpwpon
title: 7.0_0.0.tab
DOI: 10.13130/rd_unimi/jmksaw/3cysqv
title: 9.0_0.0.tab
DOI: 10.13130/rd_unimi/jmksaw/682r1w
title: test.tab
DOI: 10.13130/rd_unimi/jmksaw/e2clt7
title: test.tab
DOI: 10.13130/rd_unimi/jmksaw/pcabom
title: 10.0_0.0.tab
DOI: 10.13130/rd_unimi/jmksaw/yt6aju
title: 9.0_0.0.tab
DOI: 10.13130/rd_unimi/jmksaw/cesfuv
title: 7.0_0.0.tab
DOI: 10.13130/rd_unimi/jmksaw/jil7ic
title: 8.0_0.0.tab
DOI: 10.13130/rd_unimi/jmksaw/kij0kg
title: test.h5netcdf
DOI: 10.13130/rd_unimi/jmksaw/nnqe1k
title: 8.0_0.0.tab
DOI: 10.13130/rd_unimi/jmksaw/htx47w
title: poisoned.h5netcdf
DOI: 10.13130/rd_unimi/jmksaw/kqcjwm
title: 6.0_0.0.tab
DOI: 10.13130/rd_unimi/jmksaw/iaia3u
title: 4.0_0.0.tab
DOI: 10.13130/rd_unimi/jmksaw/dupb33
title: 8.0_0.0.tab
DOI: 10.13130/rd_unimi/jmksaw/pokyyv
title: 7.0_0.0.tab
DOI: 10.13130/rd_unimi/jmksaw/sh174h
title: 3.0_0.0.tab
DOI: 10.13130/rd_unimi/jmksaw/g189n0
title: 3.0_0.0.tab
DOI: 10.13130/rd_unimi/jmksaw/kdbfel
title: 2.0_0.0.tab
DOI: 10.13130/rd_unimi/jmksaw/un6gy7
title: 4.0_0.0.tab
DOI: 10.13130/rd_unimi/jmksaw/ahambn
title: count.json
DOI: 10.13130/rd_unimi/jmksaw/9w02lt
title: 5.0_0.0.tab
DOI: 10.13130/rd_unimi/jmksaw/iox1fw
title: 6.0_0.0.tab
DOI: 10.13130/rd_unimi/jmksaw/o6lh2v
title: 7.0_0.0.tab
DOI: 10.13130/rd_unimi/jmksaw/4cgqii
title: 3.0_0.0.tab
DOI: 10.13130/rd_unimi/jmksaw/v2ocd5
title: input.jsonc
DOI: 10.13130/rd_unimi/jmksaw/blqv51
title: poisoned.h5netcdf
DOI: 10.13130/rd_unimi/jmksaw/pohqwv
title: dataset-m2-targeted-boundary.jsonc
DOI: 10.13130/rd_unimi/jmksaw/8dl5am
title: musk2_train.tab
DOI: 10.13130/rd_unimi/jmksaw/yi6rvg
title: execute.sh
DOI: 10.15468/dl.7madfd
title: Occurrence Download

description: A dataset containing 155877 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Campanula persicifolia",
 "HasCoordinate is true"
 ]
}

 The dataset includes 155877 records from 851 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0039950-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.aygfkw
title: Occurrence Download

description: A dataset containing 4 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Description of a new flightless species of Rismethus Fleutiaux from China (Coleoptera: Elateridae: Agrypninae)"
 ]
}

 The dataset includes 4 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012225-250415084134356/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.21227/kswg-0k80
title: Transactions fees in DAG blockchain

description: Directed Acyclic Graph (DAG) blockchain applications represent an evolution from traditional linear blockchain solutions, addressing their inherent scalability issues. The analysis of the transactions fee market in these applications proves particularly insightful, given their demonstrated ability to manage very high transaction throughputs, and the crucial role transaction fees play in blockchain sustainability, efficiency and security, as a mechanism to incentivize validators and regulate network congestion.This research addresses a gap by assessing the transactions' supply and demand characteristics and their influence on the related fees within the four largest DAG blockchain applications by market capitalization, namely Hedera, Kaspa, Iota and Conflux. The analysis reveals diverse approaches to transaction management across these applications, deriving from price and market entry regulation to open competition and unrestricted entry for miners, directly influencing the level and predictability of fees paid by users. Based on extensive datasets, the analysis demonstrates a surplus of space for transactions in these applications, with the number of transactions handled significantly below the effective capacity. This high supply explains the extremely low transaction fees currently achieved in permissionless Kaspa, Iota and Conflux, lower than markup-driven fees in permissioned Hedera, in contrast to the substantially higher fees paid in Bitcoin. On the other hand, the findings highlight the need for operational cost coverage to encourage miners’ participation in permissionless applications, minimizing security and sustainability risks.
DOI: 10.5281/zenodo.15272584
title: O`ZBEK VA TURK TILLARIDAGI FE`LLARNING QIYOSIY TAHLILI
DOI: 10.5281/zenodo.15272585
title: O`ZBEK VA TURK TILLARIDAGI FE`LLARNING QIYOSIY TAHLILI
DOI: 10.15468/dl.ttukpy
title: Occurrence Download

description: A dataset containing 23 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Manis pentadactyla Linnaeus, 1758"
 ]
}

 The dataset includes 23 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012226-250415084134356/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.kr7pz8
title: Occurrence Download

description: A dataset containing 591839 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Species recordings from the Danish National Portal Arter.dk"
 ]
}

 The dataset includes 591839 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012210-250415084134356/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.sn3fb7
title: Occurrence Download

description: A dataset containing 265 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Campylorhynchus brunneicapillus bryanti (Anthony, 1894)"
 ]
}

 The dataset includes 265 records from 26 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000611-250424135625364/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.7274/28792478
title: Evaluation of Native Extracellular Vesicles in the Myocardial Microenvironment for Therapeutic Potential in the Treatment and Prevention of Aging-Associated Chronic Cardiovascular Disease

description: Cardiovascular disease (CVD) is the leading cause of death in the United States and worldwide, with myocardial infarction (MI) as the chief cause of death among CVDs. While initial incidence of MI tends to be non-fatal, the tissue response results in thus-far irreversible damage to the myocardium. This damage commonly takes the form of cardiac fibrosis, or excessive scarring and resultant dysfunction of the cardiac tissue, which increases risk and mortality of a future cardiac event.
Aging is a major risk factor for cardiovascular disease and numerous other diseases, but the mechanisms of these aging-related effects remain elusive. Extracellular vesicles (EVs) have been recently identified as potential agents of aging-related changes in the microenvironment and key mediators of many chronic changes in the microenvironment. In particular, a new type of EV embedded in the extracellular matrix of human tissue was recently discovered, and can significantly impact both local immune response and local tissue remodeling in wound healing.
The main goal of this dissertation was to evaluate the diagnostic and therapeutic potential of EVs native to the cardiac microenvironment in order to diagnose and treat aging-related chronic CVDs. Towards this goal, we have first proven the existence of tissue-embedded EVs (TEVs) in human cardiac tissue and evaluate the cargo and therapeutic potential of these particles. We demonstrated that TEVs from young donor hearts induce reparative, anti-fibrotic wound healing after insult and isolated a key cocktail of miRNAs that could recapitulate this effect. Next, we integrated cardiac fibroblasts into our existing heart-on-a-chip model to develop a biomimetic system for inducing cardiac fibrosis-like effects, and tested the ability of the miRNA cocktail to prevent or reverse fibrosis after fibrosis-inducing damage in a biomimetic environment. Then, to better understand the chronic changes that EV cargo go through and develop diagnostic tools based on these changes, we evaluated the effects of doxorubicin on cardiac tissue for the development of chronic cardiotoxicity. Lastly, we combined both diagnostic and therapeutic knowledge for a full multi-omics profiling of TEVs from young and aged donors compared to age-matched plasma EVs. Using both classical and novel machine-learning based techniques, we developed a unique set of diagnostic biomarkers for aging-related CVDs and identified young-enriched miRNAs which provide therapeutic, anti-fibrotic effects. While this field is still in its infancy, the study of TEVs for the development of both diagnostic and therapeutic tools will be invaluable for the treatment of aging-related CVDs.
DOI: 10.7274/28792478.v1
title: Evaluation of Native Extracellular Vesicles in the Myocardial Microenvironment for Therapeutic Potential in the Treatment and Prevention of Aging-Associated Chronic Cardiovascular Disease

description: Cardiovascular disease (CVD) is the leading cause of death in the United States and worldwide, with myocardial infarction (MI) as the chief cause of death among CVDs. While initial incidence of MI tends to be non-fatal, the tissue response results in thus-far irreversible damage to the myocardium. This damage commonly takes the form of cardiac fibrosis, or excessive scarring and resultant dysfunction of the cardiac tissue, which increases risk and mortality of a future cardiac event.
Aging is a major risk factor for cardiovascular disease and numerous other diseases, but the mechanisms of these aging-related effects remain elusive. Extracellular vesicles (EVs) have been recently identified as potential agents of aging-related changes in the microenvironment and key mediators of many chronic changes in the microenvironment. In particular, a new type of EV embedded in the extracellular matrix of human tissue was recently discovered, and can significantly impact both local immune response and local tissue remodeling in wound healing.
The main goal of this dissertation was to evaluate the diagnostic and therapeutic potential of EVs native to the cardiac microenvironment in order to diagnose and treat aging-related chronic CVDs. Towards this goal, we have first proven the existence of tissue-embedded EVs (TEVs) in human cardiac tissue and evaluate the cargo and therapeutic potential of these particles. We demonstrated that TEVs from young donor hearts induce reparative, anti-fibrotic wound healing after insult and isolated a key cocktail of miRNAs that could recapitulate this effect. Next, we integrated cardiac fibroblasts into our existing heart-on-a-chip model to develop a biomimetic system for inducing cardiac fibrosis-like effects, and tested the ability of the miRNA cocktail to prevent or reverse fibrosis after fibrosis-inducing damage in a biomimetic environment. Then, to better understand the chronic changes that EV cargo go through and develop diagnostic tools based on these changes, we evaluated the effects of doxorubicin on cardiac tissue for the development of chronic cardiotoxicity. Lastly, we combined both diagnostic and therapeutic knowledge for a full multi-omics profiling of TEVs from young and aged donors compared to age-matched plasma EVs. Using both classical and novel machine-learning based techniques, we developed a unique set of diagnostic biomarkers for aging-related CVDs and identified young-enriched miRNAs which provide therapeutic, anti-fibrotic effects. While this field is still in its infancy, the study of TEVs for the development of both diagnostic and therapeutic tools will be invaluable for the treatment of aging-related CVDs.
DOI: 10.15468/dl.jsnhat
title: Occurrence Download

description: A dataset containing 27 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "TaxonKey is Pterostichus ophryoderus (Chaudoir, 1878)",
 "Year is greater than or equal to 1950",
 {
 "or" : [
 "GadmGid is USA",
 "GadmGid is CAN",
 "GadmGid is MEX"
 ]
 }
 ]
}

 The dataset includes 27 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007477-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.