cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5440/1440029
title: Synthesis of Soil Geochemical Characteristics and Organic Carbon Degradation from Arctic Polygon Tundra, Utqiagvik (Barrow), Alaska

description: This is a synthesis data product that reports (1) the results of soil geochemical characterization and (2) organic carbon degradation in low temperature soil incubations on cores collected on the NGEE Arctic Study Area near Utqiagvik (Barrow), Alaska. The study area consists of thaw lakes, drained thaw lake basins and interstitial tundra with a polygonal landscape of microtopographic features created by ice wedges. Integrated geochemical and organic carbon degradation data from 9 individual soil cores collected in April 2012 and April 2013 are included in the synthesis product. This dataset contains one pdf file and nine csv files.The Next-Generation Ecosystem Experiments: Arctic (NGEE Arctic), was a research effort to reduce uncertainty in Earth System Models by developing a predictive understanding of carbon-rich Arctic ecosystems and feedbacks to climate. NGEE Arctic was supported by the Department of Energy's Office of Biological and Environmental Research.The NGEE Arctic project had two field research sites: 1) located within the Arctic polygonal tundra coastal region on the Barrow Environmental Observatory (BEO) and the North Slope near Utqiagvik (Barrow), Alaska and 2) multiple areas on the discontinuous permafrost region of the Seward Peninsula north of Nome, Alaska.Through observations, experiments, and synthesis with existing datasets, NGEE Arctic provided an enhanced knowledge base for multi-scale modeling and contributed to improved process representation at global pan-Arctic scales within the Department of Energy's Earth system Model (the Energy Exascale Earth System Model, or E3SM), and specifically within the E3SM Land Model component (ELM).
DOI: 10.15468/dl.c29ccd
title: Occurrence Download

description: A dataset containing 39385 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "Country is Colombia",
 "Country is Peru",
 "Country is Brazil"
 ]
 },
 "Year 2010-2019",
 "TaxonKey is Egretta thula (Molina, 1782)"
 ]
}

 The dataset includes 39385 records from 44 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005635-190621201848488/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zj9gal
title: Occurrence Download

description: A dataset containing 30743 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "Country is Peru",
 "Country is Brazil",
 "Country is Colombia"
 ]
 },
 "Year 2010-2019",
 "TaxonKey is Butorides striata (Linnaeus, 1758)"
 ]
}

 The dataset includes 30743 records from 65 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005636-190621201848488/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5440/1441203
title: NGEE Arctic Leaf Spectral Reflectance, Utqiagvik (Barrow), Alaska 2013

description: Measurements of full-spectrum (i.e. 350-2500nm) leaf spectral reflectance of 9 Arctic plant species within the BEO, Barrow, Alaska. Spectra were collected using an ASD Field Spec 3 full range spectroradiometer with a leaf clip assembly attached to a plant probe with an internally calibrated light source. Data were collected in July 2013, and sample LMA, N content and chlorophyll content are available in related datasets. Species measured - Arctophila fulva, Arctagrostis latifolia, Carex aquatilis, Dupontia fisheri, Eriophorum angustifolium, Petasites frigidus, Salix pulchra, Vaccinium vitis-idaea, and Saxifraga punctata. Samples collected in vegetation plots and outside vegetation plots over an area of approximate 1 km2 centered at 71.275 degrees N, 156.641 degrees W. This dataset contains one pdf file, one xlsx file, and one csv file.The Next-Generation Ecosystem Experiments: Arctic (NGEE Arctic), was a research effort to reduce uncertainty in Earth System Models by developing a predictive understanding of carbon-rich Arctic ecosystems and feedbacks to climate. NGEE Arctic was supported by the Department of Energy's Office of Biological and Environmental Research.The NGEE Arctic project had two field research sites: 1) located within the Arctic polygonal tundra coastal region on the Barrow Environmental Observatory (BEO) and the North Slope near Utqiagvik (Barrow), Alaska and 2) multiple areas on the discontinuous permafrost region of the Seward Peninsula north of Nome, Alaska.Through observations, experiments, and synthesis with existing datasets, NGEE Arctic provided an enhanced knowledge base for multi-scale modeling and contributed to improved process representation at global pan-Arctic scales within the Department of Energy's Earth system Model (the Energy Exascale Earth System Model, or E3SM), and specifically within the E3SM Land Model component (ELM).
DOI: 10.15468/dl.kjsiod
title: Occurrence Download

description: A dataset containing 3401 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Gekko gecko (Linnaeus, 1758)"
 ]
}

 The dataset includes 3401 records from 82 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005637-190621201848488/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.d8wpek
title: Occurrence Download

description: A dataset containing 13497 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Cyperus rotundus L.",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 {
 "or" : [
 "CoordinateUncertaintyInMeters is less than 10000",
 "CoordinateUncertaintyInMeters is null"
 ]
 }
 ]
}

 The dataset includes 13497 records from 579 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0035290-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5440/1472053
title: NGEE Arctic HR1024i Canopy Spectral Reflectance, Drained Thaw Lake Basin, Barrow, Alaska, July 2015

description: Measurements of full-spectrum (i.e. 350-2500nm) canopy spectral reflectance along the NGEE-Arctic DTLB_2 in Barrow, Alaska. Spectra were collected using the HR-2014i instrument mounted on a tripod together with a Spectralon white plate to calibrate each measurement under variable illumination conditions during the measurement campaign. Data were collected in Barrow, Alaska during the 2015 period. Additional details can be found in the resulting publications. This dataset contains 1 pdf, 1 csv, 1 xlsx, and 1 zipped folder of raw data.The Next-Generation Ecosystem Experiments: Arctic (NGEE Arctic), was a research effort to reduce uncertainty in Earth System Models by developing a predictive understanding of carbon-rich Arctic ecosystems and feedbacks to climate. NGEE Arctic was supported by the Department of Energy's Office of Biological and Environmental Research.The NGEE Arctic project had two field research sites: 1) located within the Arctic polygonal tundra coastal region on the Barrow Environmental Observatory (BEO) and the North Slope near Utqiagvik (Barrow), Alaska and 2) multiple areas on the discontinuous permafrost region of the Seward Peninsula north of Nome, Alaska.Through observations, experiments, and synthesis with existing datasets, NGEE Arctic provided an enhanced knowledge base for multi-scale modeling and contributed to improved process representation at global pan-Arctic scales within the Department of Energy's Earth system Model (the Energy Exascale Earth System Model, or E3SM), and specifically within the E3SM Land Model component (ELM).
DOI: 10.5440/1482337
title: NGEE Arctic Leaf Spectral Absorptance, Utqiagvik (Barrow), Alaska, 2015-2016

description: Leaf level reflectance on each sample leaf was measured using a portable, full range (i.e. 0.35 to 2.5 microns) Spectra Vista Corporation (SVC) HR-1024i spectroradiometer, together with a leaf clip assembly with an internal, calibrated light source (SVC, Poughkeepsie, NY, USA). Each measurement was referenced against a LabSphere Spectralon (R) standard (LabSphere, Inc., North Sutton, NH, USA) to calculate leaf reflectance from the ratio of target and standard calibrated radiance measurements for each leaf. For each leaf, we collected two to five measurements over the leaf adaxial surface to calculate an average, depending on the leaf size and morphology. Spectral discontinuities in the detector overlap areas were corrected using the SVC instrument software prior to sample averaging and other quality control steps, as described previously (Serbin et al., 2014) using the R-FieldSpectra package (https://github.com/serbinsh/R-FieldSpectra). Refer to Serbin et al (2017) for the complete spectral reflectance dataset. We then calculated leaf spectral absorptance using the measured leaf reflectance following the approach of Wu et al., (2018), based on the original method derived by Shiklomanov et al., (2016) using the PEcAnRTM package (https://github.com/PecanProject/pecan/tree/develop/modules/rtm). This dataset contains one xlsx file, one csv file, and one pdf file.The Next-Generation Ecosystem Experiments: Arctic (NGEE Arctic), was a research effort to reduce uncertainty in Earth System Models by developing a predictive understanding of carbon-rich Arctic ecosystems and feedbacks to climate. NGEE Arctic was supported by the Department of Energy's Office of Biological and Environmental Research.The NGEE Arctic project had two field research sites: 1) located within the Arctic polygonal tundra coastal region on the Barrow Environmental Observatory (BEO) and the North Slope near Utqiagvik (Barrow), Alaska and 2) multiple areas on the discontinuous permafrost region of the Seward Peninsula north of Nome, Alaska.Through observations, experiments, and synthesis with existing datasets, NGEE Arctic provided an enhanced knowledge base for multi-scale modeling and contributed to improved process representation at global pan-Arctic scales within the Department of Energy's Earth system Model (the Energy Exascale Earth System Model, or E3SM), and specifically within the E3SM Land Model component (ELM).
DOI: 10.5440/1482338
title: Leaf Photosynthetic Parameters: Quantum Yield, Convexity, Respiration, Gross CO2 Assimilation Rate and Raw Gas Exchange Data, Utqiagvik (Barrow), Alaska, 2016

description: Leaf photosynthetic parameters including quantum yield, convexity, respiration and gross CO2 assimilation rate determined from the response of photosynthesis to irradiance and supporting raw gas exchange data. Measured in Barrow, Alaska in 2016 on six plant species: Arctophila fulva, Arctagrostis latifolia, Carex aquatilis, Eriophorum angustifolium, Petasites frigidus, and Salix pulchra. Version 2 (V2) note (01 Feb 2021): An earlier version of this data contained an incorrectly labeled data column in NGA175_AQfittedParams_Barrow_2016.csv. Mean_Ci was incorrectly labeled as Mean_Ci_LowLight. "_v2" contains the correct data for both of these variables. In December 2020, these data were updated to comply with the leaf-level gas exchange data and metadata reporting format (Ely et al 2020, doi:10.15485/1659484). These updates involved editing of some variable names, change of file formats to csv, addition of AQ curves data (subset of complete instrument output included in the original data package) and inclusion of additional methods and instrument details metadata files. No changes were made to the data. The package includes six *.csv files and one *.pdf. The Next-Generation Ecosystem Experiments: Arctic (NGEE Arctic), was a 10-year research effort (2012-2022) to reduce uncertainty in Earth System Models by developing a predictive understanding of carbon-rich Arctic ecosystems and feedbacks to climate. NGEE Arctic was supported by the Department of Energy's Office of Biological and Environmental Research. The NGEE Arctic project had two field research sites: 1) located within the Arctic polygonal tundra coastal region on the Barrow Environmental Observatory (BEO) and the North Slope near Utqiagvik (Barrow), Alaska and 2) multiple areas on the discontinuous permafrost region of the Seward Peninsula north of Nome, Alaska. Through observations, experiments, and synthesis with existing datasets, NGEE Arctic provided an enhanced knowledge base for multi-scale modeling and contributed to improved process representation at global pan-Arctic scales within the Department of Energy's Earth system Model (the Energy Exascale Earth System Model, or E3SM), and specifically within the E3SM Land Model component (ELM).
DOI: 10.5440/1529604
title: NGEE Arctic Meteorological Data from Instrumented PCDC Stations, Council Site, Seward Peninsula, Alaska, 2018 - 2023

description: This dataset provides meteorological data collected at two instrumented Power, Communication, and Data Collection (PCDC) Stations, located at Council Road Mile Marker 71 (CN_MM71) and Council Road Mile Marker 68 (Rocky Top). Measurements began in June of 2018 at CN_MM71 and in September 2018 at Rocky Top and ended in 2023. Raw data included. Meteorological data include air temperature, relative humidity, wind speed and direction, and snow depth. Measurements have been aggregated to both 10-minute and 30-minute reporting intervals provided in four comma-separated (*.csv) data files.• The 30-minute data files include only the primary meteorological variables, leaf wetness, and snow depth.. The 30-minute reporting interval matches other coincident site data collections.• The 10-minute files provide the primary meteorological variables and numerous system operational parameters such as battery charge and solar and wind turbine status. This 10-minute data product is valuable for analyzing solar and wind charging system performance in arctic landscapes.Daily photographic images (09:00, 12:00, and 15:00 AKST/AKDT) of the PCDC Stations and the surrounding landscape that are captured by an adjacent web camera, are also provided.The daily 12:00 images from CN_MM71 camera have been compiled into time-lapse movies:• October 2018 – June 12, 2019 = Council_winter_2018_2019.mov• January 2019 – December 2019 = Council_2019.mp4The Next-Generation Ecosystem Experiments: Arctic (NGEE Arctic), was a research effort to reduce uncertainty in Earth System Models by developing a predictive understanding of carbon-rich Arctic ecosystems and feedbacks to climate. NGEE Arctic was supported by the Department of Energy's Office of Biological and Environmental Research.The NGEE Arctic project had two field research sites: 1) located within the Arctic polygonal tundra coastal region on the Barrow Environmental Observatory (BEO) and the North Slope near Utqiagvik (Barrow), Alaska and 2) multiple areas on the discontinuous permafrost region of the Seward Peninsula north of Nome, Alaska.Through observations, experiments, and synthesis with existing datasets, NGEE Arctic provided an enhanced knowledge base for multi-scale modeling and contributed to improved process representation at global pan-Arctic scales within the Department of Energy's Earth system Model (the Energy Exascale Earth System Model, or E3SM), and specifically within the E3SM Land Model component (ELM).
DOI: 10.5440/1544760
title: Sources and Variability of Nitrate on an Alaskan Hillslope Dominated by Alder Shrubs, Kougarok, Alaska, 2017 and 2018

description: Data provided include results of analyses of soil pore-water, soil moisture, and leaf litter samples collected at a Kougarok Hillslope site dominated by alder shrubs (KG_MM64) in the Seward Peninsula, Alaska during July and September 2017 and 2018. Samples were from surface soils in close proximity to 5 alder patches, collected upslope, within, and downslope of the alder patches. Pore water was analyzed for a comprehensive set of anions, cations, elemental analyses, and oxygen and nitrogen isotopes. Soil samples were collected for soil moisture determination. Leaf litter extracts were analyzed for carbon and nitrogen content and carbon and nitrogen isotopes. This dataset contains 3 *.csv files and 1 *.pdf file. The Next-Generation Ecosystem Experiments: Arctic (NGEE Arctic), was a research effort to reduce uncertainty in Earth System Models by developing a predictive understanding of carbon-rich Arctic ecosystems and feedbacks to climate. NGEE Arctic was supported by the Department of Energy's Office of Biological and Environmental Research. The NGEE Arctic project had two field research sites: 1) located within the Arctic polygonal tundra coastal region on the Barrow Environmental Observatory (BEO) and the North Slope near Utqiagvik (Barrow), Alaska and 2) multiple areas on the discontinuous permafrost region of the Seward Peninsula north of Nome, Alaska. Through observations, experiments, and synthesis with existing datasets, NGEE Arctic provided an enhanced knowledge base for multi-scale modeling and contributed to improved process representation at global pan-Arctic scales within the Department of Energy's Earth system Model (the Energy Exascale Earth System Model, or E3SM), and specifically within the E3SM Land Model component (ELM).
DOI: 10.5066/p13btvbb
title: Streamflow and total selenium concentration data for six Canadian sites in the Kootenay and Columbia River Basins (2004-2022) and scripts for trend analysis using R–QWTREND

description: A study to assess the potential for long-range transport of selenium from the Elk River valley (British Columbia, Canada) was completed by the U.S. Geological Survey (USGS) using an analysis of total selenium concentrations and loads at six sites in the Elk, Kootenay, and Columbia Rivers in British Columbia, Canada. This dataset contains discrete total selenium concentration data and daily streamflow records used as input to R–QWTREND models and scripts to produce model results at each site.

Total selenium concentration data was obtained from the Governments of Canada and Province of British Columbia (https://governmentofbc.maps.arcgis.com/apps/MapSeries/index.html?appid=85991363447e4c73991e418dd98133ca) at six sites: Kootenay River near Fenwick (BC08NG0009), Elk River below Sparwood (BC08NK0004), Elk River above Highway 93 (BC08NK0003), Kootenay River above Highway 93 near Creston (BC08NH0005), Columbia River at Birchbank (BC08NE0005), and Columbia River at Waneta (BC08NE0001). Streamflow data were obtained from the USGS National Water Information System (http://dx.doi.org/10.5066/F7P55KJN) for two sites: Kootenai River at Porthill ID USGS-12322001 and Kootenai River Tribal Hatchery NR Bonners Ferry USGS-12310100. Streamflow data were obtained from a previous data release for Kootenay River near Fenwick (Lange and Storb, 2023) and for Elk River at Phillips Bridge (08NK005). Streamflow data were obtained from the British Columbia Water Tool (https://kwt.bcwatertool.ca/streamflow) for the Elk River at Fernie (08NK002) and Columbia River at Birchbank (08NE049).

Streamflow and concentration data were used to analyze selenium loads and trends in selenium concentrations using R–QWTREND (Vecchia and Nustad, 2020). Data input to the trend models ranged from 2004–22 at all sites except for Kootenay River near Fenwick, where data ranged from 2004–18 due to data limitations at this site. Model outputs, including diagnostic plots to evaluate model reliability, can be viewed by downloading the child item “Scripts to run R–QWTREND models and produce results” and following the instructions to run the models.
DOI: 10.5440/1575068
title: Leaf Carbon and Nitrogen Content, Seward Peninsula, Alaska, 2014

description: Carbon and nitrogen content of leaves sampled from locations on the Council, Kougarok and Teller roads, Seward Peninsula, Alaska. Species not fully identified in all cases, but include samples from the genera: Alnus, Arctagrostis, Arctophila, Arctostaphylos, Betula, Carex, Eriophorum, Petasites, Picea, Populus, Rubus, Salix, Saxifraga and Vaccinium. Locations along the Council, Kougarok and Teller roads, Seward Peninsula, Alaska. Samples were collected from various locations as part of reconnaissance field work prior to establishment of formal NGEE Arctic study sites between August 22, 2014 and August 24, 2014. There is a single datafile in .csv format.The Next-Generation Ecosystem Experiments: Arctic (NGEE Arctic), was a research effort to reduce uncertainty in Earth System Models by developing a predictive understanding of carbon-rich Arctic ecosystems and feedbacks to climate. NGEE Arctic was supported by the Department of Energy's Office of Biological and Environmental Research. The NGEE Arctic project had two field research sites: 1) located within the Arctic polygonal tundra coastal region on the Barrow Environmental Observatory (BEO) and the North Slope near Utqiagvik (Barrow), Alaska and 2) multiple areas on the discontinuous permafrost region of the Seward Peninsula north of Nome, Alaska. Through observations, experiments, and synthesis with existing datasets, NGEE Arctic provided an enhanced knowledge base for multi-scale modeling and contributed to improved process representation at global pan-Arctic scales within the Department of Energy's Earth system Model (the Energy Exascale Earth System Model, or E3SM), and specifically within the E3SM Land Model component (ELM).
DOI: 10.15468/dl.f9p4ec
title: Occurrence Download

description: A dataset containing 161446965 species occurrences available in GBIF matching the query:
{
 "BasisOfRecord" : [
 "is Specimen"
 ]
}

 The dataset includes 161446965 records from 10887 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005608-190621201848488/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9vr9qh
title: Occurrence Download

description: A dataset containing 78 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Côte d’Ivoire",
 "TaxonKey is Borassus aethiopum Mart."
 ]
}

 The dataset includes 78 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010380-230530130749713/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.p8bcm9
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Geokichla joiceyi (Rothschild & Hartert, 1921))",
 "BasisOfRecord is one of (Specimen, Human Observation, Observation, Machine Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0291631-220831081235567/datasets/export for details.
DOI: 10.15468/dl.4j726k
title: Occurrence Download

description: A dataset containing 49883 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is one of (Fagopyrum esculentum Moench)"
 ]
}

 The dataset includes 49883 records from 596 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0160119-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jpf3u2
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is one of (Yadranellaceae)"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0162434-220831081235567/datasets/export for details.