cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.26490616
title: Comparing Ignition of Fuel Beds to Firebrand Showers to Ignition of Fuel Beds by Non-Reacting Heaters

description: The combustion of various fuels results in the release of firebrands during wildland-urban interface (WUI) fires. Firebrands represent a hazard, since the release of firebrands may lead to multiple ignitions at locations distant from the original combustion source. A newly developed experimental protocol using a non-reacting heater was used to simulate a firebrand. A direct comparison of this simplified non-reacting heater setup was undertaken to realistic fuel bed ignition to actual firebrand showers. Firebrand showers were generated using a custom experimental setup developed for this investigation. The novelty of this research is a detailed comparison for the first time to fuel bed ignition from non-reacting heaters to actual firebrand showers, for the same fuel bed type. The focus here is on smoldering ignition (SI) of the fuel beds, as this is seen as a complex and least understood aspect of firebrand ignition of actual WUI fires. Results indicate that the overall phenomenology of the ignition process is different between a non-reacting cartridge heater and a shower of firebrands. Complicated smoldering ignition phenomena of fuel beds by firebrand showers cannot be simulated by a simple non-reacting heater.
DOI: 10.6084/m9.figshare.26490616.v1
title: Comparing Ignition of Fuel Beds to Firebrand Showers to Ignition of Fuel Beds by Non-Reacting Heaters

description: The combustion of various fuels results in the release of firebrands during wildland-urban interface (WUI) fires. Firebrands represent a hazard, since the release of firebrands may lead to multiple ignitions at locations distant from the original combustion source. A newly developed experimental protocol using a non-reacting heater was used to simulate a firebrand. A direct comparison of this simplified non-reacting heater setup was undertaken to realistic fuel bed ignition to actual firebrand showers. Firebrand showers were generated using a custom experimental setup developed for this investigation. The novelty of this research is a detailed comparison for the first time to fuel bed ignition from non-reacting heaters to actual firebrand showers, for the same fuel bed type. The focus here is on smoldering ignition (SI) of the fuel beds, as this is seen as a complex and least understood aspect of firebrand ignition of actual WUI fires. Results indicate that the overall phenomenology of the ignition process is different between a non-reacting cartridge heater and a shower of firebrands. Complicated smoldering ignition phenomena of fuel beds by firebrand showers cannot be simulated by a simple non-reacting heater.
DOI: 10.15468/dl.xvnzz6
title: Occurrence Download

description: A dataset containing 136843 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "DatasetKey is Colección de Entomología del Instituto de Investigación de Recursos Biológicos Alexander von Humboldt (IAvH-E)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 136843 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0047228-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34740/kaggle/dsv/9100511
title: Egypt Gold Prices | Daily Updated
DOI: 10.6084/m9.figshare.26490598
title: Paper data

description: <b>1 </b>"1 Food rescue area for lakes" is the food resource area of 128 herbivorous waterbirds in lakes.<b>2 </b>"ONI" is the Oceanic Niño Index (ONI) obtained from the National Oceanic and Atmospheric Administration.<b>3 </b>"Precipitation and temperature for all lake" is the average value of the research area range calculated from CHIRPS and ECMWF.<b>4 </b>"Correlation coefficient of food resouse area(Shp)"is a shape file file，which is the correlation coefficient of food resouse area for 128 lakes.
DOI: 10.6084/m9.figshare.26490598.v1
title: Paper data

description: <b>1 </b>"1 Food rescue area for lakes" is the food resource area of 128 herbivorous waterbirds in lakes.<b>2 </b>"ONI" is the Oceanic Niño Index (ONI) obtained from the National Oceanic and Atmospheric Administration.<b>3 </b>"Precipitation and temperature for all lake" is the average value of the research area range calculated from CHIRPS and ECMWF.<b>4 </b>"Correlation coefficient of food resouse area(Shp)"is a shape file file，which is the correlation coefficient of food resouse area for 128 lakes.
DOI: 10.15468/dl.9dhuaa
title: Occurrence Download

description: A dataset containing 33 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "TaxonKey is Charadrius veredus Gould, 1848",
 "Year 2009-2013"
 ]
}

 The dataset includes 33 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0047229-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.p6xjkv
title: Occurrence Download

description: A dataset containing 70 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "TaxonKey is Hydrophasianus chirurgus (Scopoli, 1786)",
 "Year 2009-2013"
 ]
}

 The dataset includes 70 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0047230-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.p5mzh4
title: Occurrence Download

description: A dataset containing 1748 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Krananda latimarginaria Leech, 1891"
 ]
}

 The dataset includes 1748 records from 28 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0047231-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qudwch
title: Occurrence Download

description: A dataset containing 430 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Asia",
 "Country is China",
 "TaxonKey is Numenius phaeopus (Linnaeus, 1758)",
 "Year 2009-2013"
 ]
}

 The dataset includes 430 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0047232-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mudmue
title: Occurrence Download

description: A dataset containing 78 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Asia",
 "Country is China",
 "TaxonKey is Numenius minutus Gould, 1841",
 "Year 2009-2013"
 ]
}

 The dataset includes 78 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0047233-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xsqf77
title: Occurrence Download

description: A dataset containing 112 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Bombus picipes Richards, 1934"
 ]
}

 The dataset includes 112 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0047234-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jpkmdd
title: Occurrence Download

description: A dataset containing 486 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "TaxonKey is Numenius madagascariensis (Linnaeus, 1766)",
 "Year 2009-2013"
 ]
}

 The dataset includes 486 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0047235-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.13208132
title: GPR156MDSimulationData

description: GPR156_MD simulation data
DOI: 10.5281/zenodo.13208133
title: GPR156MDSimulationData

description: GPR156_MD simulation data
DOI: 10.15468/dl.s8gpak
title: Occurrence Download

description: A dataset containing 13568 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Flora of Sumatra: Vascular plant collection of selected families deposited at Herbarium of Andalas University (ANDA)"
 ]
}

 The dataset includes 13568 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0047236-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.13208138
title: Co-Register of multi modal spatial dataset
DOI: 10.5281/zenodo.13208139
title: Co-Register of multi modal spatial dataset
DOI: 10.15468/dl.xs4k4p
title: Occurrence Download

description: A dataset containing 548 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Asia",
 "Country is China",
 "TaxonKey is Numenius arquata (Linnaeus, 1758)",
 "Year 2009-2013"
 ]
}

 The dataset includes 548 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0047237-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.26235578
title: 29 <i>Salmonella</i> Serotype Treefiles

description: <b>Phylogenetic analysis of </b><b>Multidrug resistance</b><b> </b><b>S</b><b>alomnella serotype</b> <b>genomic sequences among healthy individuals.</b>
DOI: 10.6084/m9.figshare.26235578.v1
title: 29 <i>Salmonella</i> Serotype Treefiles

description: <b>Phylogenetic analysis of </b><b>Multidrug resistance</b><b> </b><b>S</b><b>alomnella serotype</b> <b>genomic sequences among healthy individuals.</b>
DOI: 10.15468/dl.we5m8p
title: Occurrence Download

description: A dataset containing 487 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Asia",
 "Country is China",
 "TaxonKey is Limosa lapponica (Linnaeus, 1758)",
 "Year 2010-2013"
 ]
}

 The dataset includes 487 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0047239-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.26490637
title: Supplementary Data

description: This file is the manuscript metadata, cgMLST(HC5 and HC900)+quastN50, and mic data.
DOI: 10.6084/m9.figshare.26490637.v1
title: Supplementary Data

description: This file is the manuscript metadata, cgMLST(HC5 and HC900)+quastN50, and mic data.
DOI: 10.15468/dl.qvux3n
title: Occurrence Download

description: A dataset containing 13568 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Flora of Sumatra: Vascular plant collection of selected families deposited at Herbarium of Andalas University (ANDA)"
 ]
}

 The dataset includes 13568 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0047240-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2vzb5b
title: Occurrence Download

description: A dataset containing 446 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Asia",
 "Country is China",
 "TaxonKey is Limosa limosa (Linnaeus, 1758)",
 "Year 2007-2013"
 ]
}

 The dataset includes 446 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0047241-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.uqy2w3
title: Occurrence Download

description: A dataset containing 48 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Bombus longipennis Friese, 1918"
 ]
}

 The dataset includes 48 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0047242-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zq9trw
title: Occurrence Download

description: A dataset listing the 394 species recorded in GBIF matching the query:
{
 "DatasetKey" : [
 "is Flora of Sumatra: Vascular plant collection of selected families deposited at Herbarium of Andalas University (ANDA)"
 ]
}

 The dataset's 394 records were derived from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0047238-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zfag5d
title: Occurrence Download

description: A dataset containing 353 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Asia",
 "Country is China",
 "TaxonKey is Arenaria interpres (Linnaeus, 1758)",
 "Year 2009-2013"
 ]
}

 The dataset includes 353 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0047243-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.se5m9p
title: Occurrence Download

description: A dataset containing 264 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Krananda lucidaria Leech, 1897"
 ]
}

 The dataset includes 264 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0047244-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jpgpwj
title: Occurrence Download

description: A dataset containing 464 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "TaxonKey is Calidris tenuirostris (Horsfield, 1821)",
 "Year 2009-2013"
 ]
}

 The dataset includes 464 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0047245-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.12826330
title: Cooling run (years 0267-0514) from Eisenman & Armour (2024)

description: The following information is also included in the README.txt file accompanying the data.

Citation for data:

I. Eisenman and K. Armour (2024). The radiative feedback continuum from Snowball Earth to an ice-free hothouse. Nature Communications, https://doi.org/10.1038/s41467-024-50406-w

Description of data:

The Warming and Cooling simulations are both branched from the end of year 500 of a preexisting CESM2 pre-industrial (PI) simulation ("b.e21.B1850.f09_g17.CMIP6-piControl.001" by Danabasoglu et al., 2020). The kernel analysis uses the mean annual cycle averaged over years 480-499 of this PI simulation as the reference climate. Output from this PI simulation can be downloaded fromhttps://www.earthsystemgrid.org/dataset/ucar.cgd.cesm2.b.e21.B1850.f09_g17.CMIP6-piControl.001.atm.proc.monthly_ave.html

For the first 150 years of the Warming run, we use a preexisting CESM2 simulation with CO2 increasing at 1%/year ("b.e21.B1PCT.f09_g17.CMIP6-1pctCO2.001" by Danabasoglu, 2019); data from this simulation is shared elsewhere and is mirrored here for convenience. This is followed by our simulation "WARMING1ppyCESM2cheyenne", which we ran until it failed with an error after year 0279. Hence the data for the Warming run comes from the following simulations:- Year 0001-0150: b.e21.B1PCT.f09_g17.CMIP6-1pctCO2.001- Year 0151-0279: WARMING1ppyCESM2cheyenne

For the Cooling run, we decreased CO2 at 1%/year in the simulation "COOLING1ppyCESM2cheyenne". After year 140, we adjusted the processor (PE) layout for a more economical (but slower) load balancing, which required us to branch to a new case, "COOLING1ppyCESM2cheyenne2". This simulation failed with an error after year 278, and we commented out a line in the model code and re-ran starting from 12 years earlier using the case name "COOLING1ppyCESM2cheyenne3". This simulation failed with an error after year 332, and we commented out another line in the model code and re-ran starting in year 333 using the case name "COOLING1ppyCESM2cheyenne5" (there is no simulation "COOLING1ppyCESM2cheyenne4" in this collection). This simulation failed with an error after year 514. Hence the data for the Cooling run comes from the following simulations:- Year 0001-0140: COOLING1ppyCESM2cheyenne- Year 0141-0266: COOLING1ppyCESM2cheyenne2 [ignore the additional years 0267-0278 in this simulation)- Year 0267-0332: COOLING1ppyCESM2cheyenne3- Year 0333-0514: COOLING1ppyCESM2cheyenne5

Further details regarding these simulations are given in the "Methods" section of the paper (Eisenman & Armour, 2024).

Downloading the data:

Model output from the Warming and Cooling runs, including all fields used in the kernel analysis, is split into three downloadable records on Zenodo:- Warming run (years 0001-0279)- Cooling run part 1 (years 0001-0266)- Cooling run part 2 (years 0267-0514)Links to the three records can be found at https://eisenman-group.github.io

Please contact Ian Eisenman (eisenman@ucsd.edu) for model output fields not included in this collection.
DOI: 10.5281/zenodo.12826332
title: Warming run (years 0001-0279) from Eisenman & Armour (2024)

description: The following information is also included in the README.txt file accompanying the data.

Citation for data:

I. Eisenman and K. Armour (2024). The radiative feedback continuum from Snowball Earth to an ice-free hothouse. Nature Communications, https://doi.org/10.1038/s41467-024-50406-w

Description of data:

The Warming and Cooling simulations are both branched from the end of year 500 of a preexisting CESM2 pre-industrial (PI) simulation ("b.e21.B1850.f09_g17.CMIP6-piControl.001" by Danabasoglu et al., 2020). The kernel analysis uses the mean annual cycle averaged over years 480-499 of this PI simulation as the reference climate. Output from this PI simulation can be downloaded fromhttps://www.earthsystemgrid.org/dataset/ucar.cgd.cesm2.b.e21.B1850.f09_g17.CMIP6-piControl.001.atm.proc.monthly_ave.html

For the first 150 years of the Warming run, we use a preexisting CESM2 simulation with CO2 increasing at 1%/year ("b.e21.B1PCT.f09_g17.CMIP6-1pctCO2.001" by Danabasoglu, 2019); data from this simulation is shared elsewhere and is mirrored here for convenience. This is followed by our simulation "WARMING1ppyCESM2cheyenne", which we ran until it failed with an error after year 0279. Hence the data for the Warming run comes from the following simulations:- Year 0001-0150: b.e21.B1PCT.f09_g17.CMIP6-1pctCO2.001- Year 0151-0279: WARMING1ppyCESM2cheyenne

For the Cooling run, we decreased CO2 at 1%/year in the simulation "COOLING1ppyCESM2cheyenne". After year 140, we adjusted the processor (PE) layout for a more economical (but slower) load balancing, which required us to branch to a new case, "COOLING1ppyCESM2cheyenne2". This simulation failed with an error after year 278, and we commented out a line in the model code and re-ran starting from 12 years earlier using the case name "COOLING1ppyCESM2cheyenne3". This simulation failed with an error after year 332, and we commented out another line in the model code and re-ran starting in year 333 using the case name "COOLING1ppyCESM2cheyenne5" (there is no simulation "COOLING1ppyCESM2cheyenne4" in this collection). This simulation failed with an error after year 514. Hence the data for the Cooling run comes from the following simulations:- Year 0001-0140: COOLING1ppyCESM2cheyenne- Year 0141-0266: COOLING1ppyCESM2cheyenne2 [ignore the additional years 0267-0278 in this simulation)- Year 0267-0332: COOLING1ppyCESM2cheyenne3- Year 0333-0514: COOLING1ppyCESM2cheyenne5

Further details regarding these simulations are given in the "Methods" section of the paper (Eisenman & Armour, 2024).

Downloading the data:

Model output from the Warming and Cooling runs, including all fields used in the kernel analysis, is split into three downloadable records on Zenodo:- Warming run (years 0001-0279)- Cooling run part 1 (years 0001-0266)- Cooling run part 2 (years 0267-0514)Links to the three records can be found at https://eisenman-group.github.io

Please contact Ian Eisenman (eisenman@ucsd.edu) for model output fields not included in this collection.
DOI: 10.5281/zenodo.12826329
title: Cooling run (years 0267-0514) from Eisenman & Armour (2024)

description: The following information is also included in the README.txt file accompanying the data.

Citation for data:

I. Eisenman and K. Armour (2024). The radiative feedback continuum from Snowball Earth to an ice-free hothouse. Nature Communications, https://doi.org/10.1038/s41467-024-50406-w

Description of data:

The Warming and Cooling simulations are both branched from the end of year 500 of a preexisting CESM2 pre-industrial (PI) simulation ("b.e21.B1850.f09_g17.CMIP6-piControl.001" by Danabasoglu et al., 2020). The kernel analysis uses the mean annual cycle averaged over years 480-499 of this PI simulation as the reference climate. Output from this PI simulation can be downloaded fromhttps://www.earthsystemgrid.org/dataset/ucar.cgd.cesm2.b.e21.B1850.f09_g17.CMIP6-piControl.001.atm.proc.monthly_ave.html

For the first 150 years of the Warming run, we use a preexisting CESM2 simulation with CO2 increasing at 1%/year ("b.e21.B1PCT.f09_g17.CMIP6-1pctCO2.001" by Danabasoglu, 2019); data from this simulation is shared elsewhere and is mirrored here for convenience. This is followed by our simulation "WARMING1ppyCESM2cheyenne", which we ran until it failed with an error after year 0279. Hence the data for the Warming run comes from the following simulations:- Year 0001-0150: b.e21.B1PCT.f09_g17.CMIP6-1pctCO2.001- Year 0151-0279: WARMING1ppyCESM2cheyenne

For the Cooling run, we decreased CO2 at 1%/year in the simulation "COOLING1ppyCESM2cheyenne". After year 140, we adjusted the processor (PE) layout for a more economical (but slower) load balancing, which required us to branch to a new case, "COOLING1ppyCESM2cheyenne2". This simulation failed with an error after year 278, and we commented out a line in the model code and re-ran starting from 12 years earlier using the case name "COOLING1ppyCESM2cheyenne3". This simulation failed with an error after year 332, and we commented out another line in the model code and re-ran starting in year 333 using the case name "COOLING1ppyCESM2cheyenne5" (there is no simulation "COOLING1ppyCESM2cheyenne4" in this collection). This simulation failed with an error after year 514. Hence the data for the Cooling run comes from the following simulations:- Year 0001-0140: COOLING1ppyCESM2cheyenne- Year 0141-0266: COOLING1ppyCESM2cheyenne2 [ignore the additional years 0267-0278 in this simulation)- Year 0267-0332: COOLING1ppyCESM2cheyenne3- Year 0333-0514: COOLING1ppyCESM2cheyenne5

Further details regarding these simulations are given in the "Methods" section of the paper (Eisenman & Armour, 2024).

Downloading the data:

Model output from the Warming and Cooling runs, including all fields used in the kernel analysis, is split into three downloadable records on Zenodo:- Warming run (years 0001-0279)- Cooling run part 1 (years 0001-0266)- Cooling run part 2 (years 0267-0514)Links to the three records can be found at https://eisenman-group.github.io

Please contact Ian Eisenman (eisenman@ucsd.edu) for model output fields not included in this collection.