cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.5557876
title: Sample version 2.0 ITS_LIVE Sentinel-1 image pair product of ice velocity in Greenland

description: 21 samples of version 2.0 ITS_LIVE Sentinel-1 image pair product of ice velocity in three test regions of Greenland Ice Sheet Sensor: Sentinel-1A/B Processor: ISCE v2.4.1 (topsApp -&gt; Geogrid v1.4.0 -&gt; autoRIFT v1.4.0) Project: NASA MEaSUREs project ITS_LIVE Region 1 (69.13N, 50.88W; Jakobshavn Isbræ Glacier): 7 ascending image pairs Region 2 (77.61N, 42.79W; central north of interior Greenland): 3 ascending image pairs Region 3 (72.48N, 35.87W; central south of interior Greenland): 10 descending image pairs and 1 ascending image pair This serves as a supplementary dataset for the companion journal article submitted to Earth System Science Data (to appear soon). Acknowledgement: This effort was funded by the NASA MEaSUREs program in contribution to the Inter-mission Time Series of Land Ice Velocity and Elevation (ITS_LIVE) project (https://its-live.jpl.nasa.gov/) and through Alex Gardner’s participation in the NASA NISAR Science Team
DOI: 10.5281/zenodo.5557875
title: Sample version 2.0 ITS_LIVE Sentinel-1 image pair product of ice velocity in Greenland

description: 21 samples of version 2.0 ITS_LIVE Sentinel-1 image pair product of ice velocity in three test regions of Greenland Ice Sheet Sensor: Sentinel-1A/B Processor: ISCE v2.4.1 (topsApp -&gt; Geogrid v1.4.0 -&gt; autoRIFT v1.4.0) Project: NASA MEaSUREs project ITS_LIVE Region 1 (69.13N, 50.88W; Jakobshavn Isbræ Glacier): 7 ascending image pairs Region 2 (77.61N, 42.79W; central north of interior Greenland): 3 ascending image pairs Region 3 (72.48N, 35.87W; central south of interior Greenland): 10 descending image pairs and 1 ascending image pair This serves as a supplementary dataset for the companion journal article submitted to Earth System Science Data (to appear soon). Acknowledgement: This effort was funded by the NASA MEaSUREs program in contribution to the Inter-mission Time Series of Land Ice Velocity and Elevation (ITS_LIVE) project (https://its-live.jpl.nasa.gov/) and through Alex Gardner’s participation in the NASA NISAR Science Team
DOI: 10.6084/m9.figshare.14912709
title: Blood glucose concentration time series in mice infected with malaria parasites

description: Experiment 1 (glucose_TS_fs.csv): Blood glucose concentration (mmol/L) from 20 mice every 2 hours on day 5 post infection, with 1×10^5 P. chabaudi DK genotype infected red blood cells by intravenous injection, by taking 1 μl blood using an Accu-Chek Performa Nano glucometer (https://www.accu-chek.co.uk/blood-glucose-meters/performa- nano).Experiment 2 (Glucose_expt2_fs.csv): Intra-peritoneal injections of glucose (3g/kg, n=5), glucose + insulin (4.5IU/kg insulin + 3g/kg glucose, n=6) or PBS (n=5) occurring every 24 hours after infection with 1×10^5 P. chabaudi DK genotype infected red blood cells. Mice sampled every 4h days 5-6 post infection for parasite density, glucose concentration, RBC density.
DOI: 10.6084/m9.figshare.14912709.v2
title: Blood glucose concentration time series in mice infected with malaria parasites

description: Experiment 1 (glucose_TS_fs.csv): Blood glucose concentration (mmol/L) from 20 mice every 2 hours on day 5 post infection, with 1×10^5 P. chabaudi DK genotype infected red blood cells by intravenous injection, by taking 1 μl blood using an Accu-Chek Performa Nano glucometer (https://www.accu-chek.co.uk/blood-glucose-meters/performa- nano).Experiment 2 (Glucose_expt2_fs.csv): Intra-peritoneal injections of glucose (3g/kg, n=5), glucose + insulin (4.5IU/kg insulin + 3g/kg glucose, n=6) or PBS (n=5) occurring every 24 hours after infection with 1×10^5 P. chabaudi DK genotype infected red blood cells. Mice sampled every 4h days 5-6 post infection for parasite density, glucose concentration, RBC density.
DOI: 10.6084/m9.figshare.14912709.v1
title: Blood glucose concentration time series in mice infected with malaria parasites

description: Blood glucose concentration (mmol/L) from 20 mice every 2 hours on day 5 post infection, with 1×10^5 P. chabaudi DK genotype infected red blood cells by intravenous injection, by taking 1 μl blood using an Accu-Chek Performa Nano glucometer (https://www.accu-chek.co.uk/blood-glucose-meters/performa- nano).
DOI: 10.25422/azu.data.14632662.v1
title: B2WALD Campaign Team and Contributions

description: List of participants and their specific contributions to the 2019-2020 Biosphere 2 Water, Atmosphere, and Life Dynamics campaign. The document lists the research and support efforts of team members, intellectual input, data analysis, and funding and other in-kind contributions such as personnel, instrumentation. This serves as a reference for proper acknowledgement of efforts for data and other products resulting from this campaign.<br><br><i>For inquiries regarding the contents of this dataset, please contact the Corresponding Author listed in the README.txt file. Administrative inquiries (e.g., removal requests, trouble downloading, etc.) can be directed to data-management@arizona.edu</i>
DOI: 10.17909/t9-eahb-c508
title: A Census of Thermally-Pulsing AGB stars in the Andromeda Galaxy and a First Estimate of their Contribution to the Global Dust Budget

description: We present a near-complete catalog of the metal-rich population of Thermally-Pulsing Asymptotic Giant Branch stars in the northwest quadrant of M31. This metal-rich sample complements the equally complete metal-poor Magellanic Cloud AGB catalogs produced by the SAGE program. Our catalog includes HST wide-band photometry from the Panchromatic Hubble Andromeda Treasury survey, HST medium-band photometry used to chemically classify a subset of the sample, and Spitzer mid- and far-IR photometry that we have used to isolate dust-producing AGB stars. We have detected 346,623 AGB stars; these include 4,802 AGB candidates producing considerable dust, and 1,356 AGB candidates that lie within clusters with measured ages, and in some cases metallicities. Using the Spitzer data and chemical classifications made with the medium-band data, we have identified both carbon- and oxygen-rich AGB candidates producing significant dust. We have applied color-mass-loss relations based on dusty AGB stars from the LMC to estimate the dust injection by AGB stars in the PHAT footprint. Applying our color relations to a subset of the chemically-classified stars producing the bulk of the dust, we find that ~97.8% of the dust is oxygen-rich. Using several scenarios for the dust lifetime, we have estimated the contribution of AGB stars to the global dust budget of M31 to be 0.9-35.5%, which is in line with previous estimates in the Magellanic Clouds. Follow-up observations of the M31 AGB candidates with the JWST will allow us to further constrain stellar and chemical evolutionary models, and the feedback and dust production of metal-rich evolved stars.
DOI: 10.25345/c5mk1b
title: MassIVE MSV000088206 - Combining Micropunch Histology and Multidimensional Lipidomic Measurements for In-Depth Tissue Mapping
title: While decades of technical and analytical advancements have been utilized to discover novel lipid species, increase speciation, and evaluate localized lipid dysregulation at sub-tissue, cellular and sub-cellular levels, many challenges still exist. One limitations is that the acquisition of both in-depth spatial information and comprehensive lipid speciation is extremely difficult, especially when biological material is limited or lipids are at low abundance. In neuroscience, for example, it is often desired to focus on only one brain region or sub-region, which can be well under a square mm for rodents. Herein, we evaluate a micropunch histology method where cortical brain tissue at 2.0, 1.25, 1.0, 0.75, 0.5 and 0.25 mm diameter sizes and 1mm depth was collected and analyzed with multidimensional liquid chromatography, ion mobility spectrometry, collision induced dissociation and mass spectrometry (LC-IMS-CID-MS) measurements. Lipid extraction was optimized for the small sample sizes and assessment of lipidome coverage for the 2.0 to 0.25 mm diameter sizes showed a decline from 304 to 198 lipid identifications as validated by all 4 analysis dimensions (~35% loss in coverage for ~88% less tissue). While losses were observed, the ~200 lipids and estimated 4,630 neurons contained within the 0.25 punch still provided in-depth characterization of the small tissue region. Furthermore, while localization routinely achieved by mass spectrometry imag-ing (MSI) and single cell analyses is greater, this diameter is sufficiently small to isolate sub-cortical, hypothalamic, and other brain regions in adult rats, thereby increasing the coverage of lipids within relevant spatial windows without sacrificing speciation. Therefore, micropunch histology enables in-depth, region-specific lipid evaluations, an approach that will prove beneficial to a variety of lipidomic applications.
DOI: 10.25934/pr00007441
title: 20211008e_PRODSmokeTest_RB

description: q
DOI: 10.6084/m9.figshare.16776136
title: FeO_w45-0.7z

description: Abundance and distribution of oxide abundances and Mg# values generated from KAGUYA multiband imager (MI) spectra<br>
DOI: 10.15468/8zsyzt
title: Zooplankton Bongo Net Data from the 2019 and 2020 Gulf of Alaska International Year of the Salmon Expeditions

description: This record contains zooplankton presence/absence data collected in the Gulf of Alaska (GoA) with a bongo net between February 19 - March 15, 2019, and March 14 – April 5, 2020, as part of the International Year of the Salmon High Seas Expeditions. The bongo net (3 m length, 250 µm mesh, 50 cm diameter) was deployed at 58 stations, to a depth of 250 m and retrieved vertically at 1 m s-1. Volume of sea water filtered was determined using General Oceanics flowmeters and by multiplying effective distance travelled by the mouth area. After the bongo net deployment and recovery, the net was rinsed down into the cod end. Samples from one cod end were rinsed into a jar and preserved in 4 % formaldehyde for future taxonomic analysis. The other cod end was rinsed into a sieve and transferred below deck where it was subsequently size fractionated (250-500 µm, 500-1000 µm, 1000-2000 µm, 2000-4000 µm, and &gt;4000 µm) onto pre-weighed filters. Individuals larger than 4000 µm were measured, identified to species level, and stored in individual Eppendorf tubes. Size fractionated zooplankton samples were stored on dry ice. This record contains the zooplankton occurrence data from both cod ends, identified to the lowest taxonomic rank possible.
DOI: 10.6084/m9.figshare.11634321.v4
title: Supplementary Tables, Figures, and Information

description: Supplementary Tables, Supplementary Figures and the Supplementary Information associated with Shaiber et al (2020).
DOI: 10.6084/m9.figshare.11634321
title: Supplementary Tables, Figures, and Information

description: Supplementary Tables, Supplementary Figures and the Supplementary Information associated with Shaiber et al (2020).
DOI: 10.25345/c5gw0t
title: MassIVE MSV000088207 - Inter-Laboratory Comparison of LC-MS analysis of algal and marine DOM - Boiteau
title: LC-MS analysis of algal and marine DOM at Oregon State University (Boiteau Lab) as part of the "Inter-Laboratory Comparison of LC-MS analysis of algal and marine DOM" study by the Inter-Lab LC-MS/MS Consortium
DOI: 10.5517/ccdc.csd.cc27sf8r
title: CCDC 2079054: Experimental Crystal Structure Determination

description: Related Article: Vladimir A. Dodonov, Weixing Chen, Li Liu, Vladimir G. Sokolov, Evgeny V. Baranov, Alexandra A. Skatova, Yanxia Zhao, Biao Wu, Xiao-Juan Yang, Igor L. Fedushkin|2021|Inorg.Chem.|60|14602|doi:10.1021/acs.inorgchem.1c01581
DOI: 10.5517/ccdc.csd.cc27sf9s
title: CCDC 2079055: Experimental Crystal Structure Determination

description: Related Article: Vladimir A. Dodonov, Weixing Chen, Li Liu, Vladimir G. Sokolov, Evgeny V. Baranov, Alexandra A. Skatova, Yanxia Zhao, Biao Wu, Xiao-Juan Yang, Igor L. Fedushkin|2021|Inorg.Chem.|60|14602|doi:10.1021/acs.inorgchem.1c01581
DOI: 10.5517/ccdc.csd.cc27sfdw
title: CCDC 2079058: Experimental Crystal Structure Determination

description: Related Article: Vladimir A. Dodonov, Weixing Chen, Li Liu, Vladimir G. Sokolov, Evgeny V. Baranov, Alexandra A. Skatova, Yanxia Zhao, Biao Wu, Xiao-Juan Yang, Igor L. Fedushkin|2021|Inorg.Chem.|60|14602|doi:10.1021/acs.inorgchem.1c01581
DOI: 10.5517/ccdc.csd.cc27sffx
title: CCDC 2079059: Experimental Crystal Structure Determination

description: Related Article: Vladimir A. Dodonov, Weixing Chen, Li Liu, Vladimir G. Sokolov, Evgeny V. Baranov, Alexandra A. Skatova, Yanxia Zhao, Biao Wu, Xiao-Juan Yang, Igor L. Fedushkin|2021|Inorg.Chem.|60|14602|doi:10.1021/acs.inorgchem.1c01581
DOI: 10.5517/ccdc.csd.cc27sfhz
title: CCDC 2079061: Experimental Crystal Structure Determination

description: Related Article: Vladimir A. Dodonov, Weixing Chen, Li Liu, Vladimir G. Sokolov, Evgeny V. Baranov, Alexandra A. Skatova, Yanxia Zhao, Biao Wu, Xiao-Juan Yang, Igor L. Fedushkin|2021|Inorg.Chem.|60|14602|doi:10.1021/acs.inorgchem.1c01581
DOI: 10.5517/ccdc.csd.cc27sfk1
title: CCDC 2079063: Experimental Crystal Structure Determination

description: Related Article: Vladimir A. Dodonov, Weixing Chen, Li Liu, Vladimir G. Sokolov, Evgeny V. Baranov, Alexandra A. Skatova, Yanxia Zhao, Biao Wu, Xiao-Juan Yang, Igor L. Fedushkin|2021|Inorg.Chem.|60|14602|doi:10.1021/acs.inorgchem.1c01581
DOI: 10.5517/ccdc.csd.cc27sfn4
title: CCDC 2079066: Experimental Crystal Structure Determination

description: Related Article: Vladimir A. Dodonov, Weixing Chen, Li Liu, Vladimir G. Sokolov, Evgeny V. Baranov, Alexandra A. Skatova, Yanxia Zhao, Biao Wu, Xiao-Juan Yang, Igor L. Fedushkin|2021|Inorg.Chem.|60|14602|doi:10.1021/acs.inorgchem.1c01581
DOI: 10.5517/ccdc.csd.cc27sfp5
title: CCDC 2079067: Experimental Crystal Structure Determination

description: Related Article: Vladimir A. Dodonov, Weixing Chen, Li Liu, Vladimir G. Sokolov, Evgeny V. Baranov, Alexandra A. Skatova, Yanxia Zhao, Biao Wu, Xiao-Juan Yang, Igor L. Fedushkin|2021|Inorg.Chem.|60|14602|doi:10.1021/acs.inorgchem.1c01581
DOI: 10.5517/ccdc.csd.cc27sfq6
title: CCDC 2079068: Experimental Crystal Structure Determination

description: Related Article: Vladimir A. Dodonov, Weixing Chen, Li Liu, Vladimir G. Sokolov, Evgeny V. Baranov, Alexandra A. Skatova, Yanxia Zhao, Biao Wu, Xiao-Juan Yang, Igor L. Fedushkin|2021|Inorg.Chem.|60|14602|doi:10.1021/acs.inorgchem.1c01581
DOI: 10.5517/ccdc.csd.cc27sfr7
title: CCDC 2079069: Experimental Crystal Structure Determination

description: Related Article: Vladimir A. Dodonov, Weixing Chen, Li Liu, Vladimir G. Sokolov, Evgeny V. Baranov, Alexandra A. Skatova, Yanxia Zhao, Biao Wu, Xiao-Juan Yang, Igor L. Fedushkin|2021|Inorg.Chem.|60|14602|doi:10.1021/acs.inorgchem.1c01581
DOI: 10.5517/ccdc.csd.cc27sfbt
title: CCDC 2079056: Experimental Crystal Structure Determination

description: Related Article: Vladimir A. Dodonov, Weixing Chen, Li Liu, Vladimir G. Sokolov, Evgeny V. Baranov, Alexandra A. Skatova, Yanxia Zhao, Biao Wu, Xiao-Juan Yang, Igor L. Fedushkin|2021|Inorg.Chem.|60|14602|doi:10.1021/acs.inorgchem.1c01581
DOI: 10.5517/ccdc.csd.cc27sfcv
title: CCDC 2079057: Experimental Crystal Structure Determination

description: Related Article: Vladimir A. Dodonov, Weixing Chen, Li Liu, Vladimir G. Sokolov, Evgeny V. Baranov, Alexandra A. Skatova, Yanxia Zhao, Biao Wu, Xiao-Juan Yang, Igor L. Fedushkin|2021|Inorg.Chem.|60|14602|doi:10.1021/acs.inorgchem.1c01581
DOI: 10.5517/ccdc.csd.cc27sfj0
title: CCDC 2079062: Experimental Crystal Structure Determination

description: Related Article: Vladimir A. Dodonov, Weixing Chen, Li Liu, Vladimir G. Sokolov, Evgeny V. Baranov, Alexandra A. Skatova, Yanxia Zhao, Biao Wu, Xiao-Juan Yang, Igor L. Fedushkin|2021|Inorg.Chem.|60|14602|doi:10.1021/acs.inorgchem.1c01581
DOI: 10.5517/ccdc.csd.cc27xgc0
title: CCDC 2082932: Experimental Crystal Structure Determination

description: Related Article: Young-Kyo Jeon, Won-Suk Kim|2021|Org.Lett.|23|7545|doi:10.1021/acs.orglett.1c02751
DOI: 10.5517/ccdc.csd.cc27z67p
title: CCDC 2084602: Experimental Crystal Structure Determination

description: Related Article: Dan-Ni Yan, Li-Xuan Cai, Pei-Ming Cheng, Shao-Jun Hu, Li-Peng Zhou, Qing-Fu Sun|2021|J.Am.Chem.Soc.|143|16087|doi:10.1021/jacs.1c06390
DOI: 10.5517/ccdc.csd.cc27z6bs
title: CCDC 2084605: Experimental Crystal Structure Determination

description: Related Article: Dan-Ni Yan, Li-Xuan Cai, Pei-Ming Cheng, Shao-Jun Hu, Li-Peng Zhou, Qing-Fu Sun|2021|J.Am.Chem.Soc.|143|16087|doi:10.1021/jacs.1c06390
DOI: 10.5517/ccdc.csd.cc27z6ct
title: CCDC 2084606: Experimental Crystal Structure Determination

description: Related Article: Dan-Ni Yan, Li-Xuan Cai, Pei-Ming Cheng, Shao-Jun Hu, Li-Peng Zhou, Qing-Fu Sun|2021|J.Am.Chem.Soc.|143|16087|doi:10.1021/jacs.1c06390
DOI: 10.5517/ccdc.csd.cc280l63
title: CCDC 2085934: Experimental Crystal Structure Determination

description: Related Article: Joachim Loup, Egor M. Larin, Mark Lautens|2021|Angew.Chem.,Int.Ed.|60|22345|doi:10.1002/anie.202106996
DOI: 10.34943/d24775f5-2cbf-4c7a-af73-d4a075275f0d
title: Barkley Canyon Hydrates Imaging Rotary Sonar Deployed 2016-05-14

description: The Kongsberg Mesotech Rotary Sonar 1171 (1206084) was deployed on 2016-05-14 at Barkley Canyon Hydrates. Barkley Canyon Hydrates denotes a gas hydrate field within Barkley Canyon. This device is a Imaging Rotary Sonar. Imaging Rotary Sonars (IRS) are devices used in underwater mapping: imaging and profiling. An IRS transmits either conical or fan-shaped beam, and its range and resolution depends on the frequency and configuration of the device. Reflected signals, or echoes, are recorded and analyzed in order to develop an image of scanned area that includes information on the range between the sonar and the scanned object. It was deployed on a fixed platform. Data from this deployment were archived and made available through Ocean Networks Canada's Oceans 2.0 digital infrastructure, with quality assurance and derived data products following established practices.
DOI: 10.34943/3a99ea18-ba9f-4483-a077-52001b6d0d80
title: Barkley Canyon Hydrates Imaging Rotary Sonar Deployed 2018-08-01

description: The Kongsberg Mesotech Rotary Sonar 1171 (1206085) was deployed on 2018-08-01 at Barkley Canyon Hydrates. Barkley Canyon Hydrates denotes a gas hydrate field within Barkley Canyon. This device is a Imaging Rotary Sonar. Imaging Rotary Sonars (IRS) are devices used in underwater mapping: imaging and profiling. An IRS transmits either conical or fan-shaped beam, and its range and resolution depends on the frequency and configuration of the device. Reflected signals, or echoes, are recorded and analyzed in order to develop an image of scanned area that includes information on the range between the sonar and the scanned object. It was deployed on a fixed platform. Data from this deployment were archived and made available through Ocean Networks Canada's Oceans 2.0 digital infrastructure, with quality assurance and derived data products following established practices.
DOI: 10.34943/8ec039b6-c48c-491f-88dd-f9dfef5d6af3
title: Barkley Canyon Hydrates Imaging Rotary Sonar Deployed 2021-08-21

description: The Kongsberg Mesotech Rotary Sonar 1171 (1206086) was deployed on 2021-08-21 at Barkley Canyon Hydrates. Barkley Canyon Hydrates denotes a gas hydrate field within Barkley Canyon. This device is a Imaging Rotary Sonar. Imaging Rotary Sonars (IRS) are devices used in underwater mapping: imaging and profiling. An IRS transmits either conical or fan-shaped beam, and its range and resolution depends on the frequency and configuration of the device. Reflected signals, or echoes, are recorded and analyzed in order to develop an image of scanned area that includes information on the range between the sonar and the scanned object. It was deployed on a fixed platform. Data from this deployment were archived and made available through Ocean Networks Canada's Oceans 2.0 digital infrastructure, with quality assurance and derived data products following established practices.
DOI: 10.17632/mhvk2njxtf.1
title: Data for: INFORMAL MHEALTH AT SCALE IN AFRICA: OPPORTUNITIES AND CHALLENGES

description: SPSS file: survey data on 2197 community health workers from Ghana, Ethiopia and Malawi on formal and informal use of mobile phones in their work ('formal' and 'informal' mhealth)
DOI: 10.17632/dyndvz5vfn.1
title: Metabolomics data INA-6 KO and WT

description: Metabolomics data INA-6 KO and WT as provided by MetaSysX. INA-6_16 is the WT samples and INA-6_9.3 and INA-6_9.6 are the two KO clones.
DOI: 10.17632/fgz592r8cv.1
title: Island Primates

description: Data collected from the literature on primates from islands near Africa and Asia. Data includes: mean female body mass, conservation status, and island area (squared km).
DOI: 10.17632/t8m5gf5jm9.3
title: Canine placenta proteomic analysis

description: This work aims to map the main protein groups of the native and decellularized (DOI: 10.17632/jkwxmsrn27.1) extracellular matrix of fetal side of canine placentas from 35 days of gestation (end of the middle third of gestation), hypothesizing that the cell removal protocol guarantees a biological matrix capable of maintaining protein groups and structural factors necessary for tissue rebuilding, as well as the processes of cell adhesion and interaction and the restoration of vasculogenesis.
For this, non-decellularized (n=3) and SDS-decellularized (n=3) 35-day old fetal part of canine placenta sample were washed, lysed, urea reduced, acetone precipitated, DTT reduced, iodoacetamide alkylated, trypsin digested, and C-18 column purified (accordingly to DOI: 10.1002/9780470559277.ch140272). Finally, 3 µg protein were loaded in OrbitrapFusionLumos spectrometer (Thermo Scientific). Spectra were exported to MaxQuant software (v1.6.10.43) to produce the protein list of each sample, and the LFQ intensity were statistically (p > 0.05) analyzed by Inferno software (v.1.1.6970). After this, proteins related to ECM and cellular junction ontologies were filtered and manually annotated using DAVID Bioinformatics Resources 6.8.
DOI: 10.17632/jkwxmsrn27.3
title: Decellularized canine placenta proteomic analysis

description: This work aims to map the main protein groups of the native (DOI: 10.17632/t8m5gf5jm9.1) and decellularized extracellular matrix of fetal side of canine placentas from 35 days of gestation (end of the middle third of gestation), hypothesizing that the cell removal protocol guarantees a biological matrix capable of maintaining protein groups and structural factors necessary for tissue rebuilding, as well as the processes of cell adhesion and interaction and the restoration of vasculogenesis.
DOI: 10.6073/pasta/4a462872dac59c407eb2fc6472a1d657
title: Toklat River Fire in Denali National Park and Preserve: Site level environmental, soil, tree, vegetation, and fire characteristics measured in 2016

description: This dataset contains site-level average estimated of environmental, soil, tree, vegetation, and fire characteristics measured in 2016, three years after the Toklat River Fire in Denali National Park and Preserve. Measured parameters include latitude, longitude, slope, aspect, elevation, moisture classification, bulk density of the surface soil, residual organic soil depth, thaw depth, burn depth, density and basal area of all tree species pre-fire, the density of all tree species post-fire, estimates of above- and below-ground carbon combustion, and understory vegetation turnover from pre-fire to post-fire. There is also data on seed trap collection and experimental regeneration of seedlings collected in 2017 and 2018 at a subset of sites.