cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.18739/a2q52fd98
title: Density and ice layer stratigraphy in 24 shallow firn cores from Southwest Greenland, 2017 - 2019

description: Observations of near-surface firn density and ice layer stratigraphy collected on the Greenland ice sheet are rare. This dataset contains information about twenty-four shallow firn cores drilled in the percolation zone in southwest Greenland between 2017 and 2019. Seven cores ranged between 2.9 and 6.3 meter (m) depth, with the remaining seventeen cores extending to 10–27 m depths. Each core has data on density, ice layer stratigraphy, and type of material (i.e. snow, firn, or ice). Quality control was performed on all data to replace erroneous data. More details including uncertainty analysis are provided in the method section and in Rennermalm et. al., (2021). The dataset includes the following files Core_meta_data.csv : File with metadata about each core, including location, site name, retrieval date, investigators, and other information Explanation_of_core_variables.csv : File with explanation of the variables reported in the core data files Core data files: For each core two files are included: a) a file with all field data with the following file naming convention [Site]-[Year]-[Core number], and b) a file only including the depth/thickness of all ice layers [Site]-[Year]-[Core number]_icelayer_data. Text in brackets are variables. References: Rennermalm, Å. K., Hock, R., Covi, F., Xiao, J., Corti, G., Kingslake, J., Leidman S. L., Miege, C., MacFerrin, M., Machguth, H., Osterberg, E., Kameda, T., McConnell. J. 2021. Shallow firn cores 1989 - 2019 in southwest Greenland’s percolation zone reveal decreasing density and ice layer volume after 2012. Journal of Glaciology, 1-12, https://doi.org/10.1017/jog.2021.102
DOI: 10.21233/xjb1-zz27
title: Mukhrino testate amoebae surface sample dataset

description: Raw data for the Mukhrino testate amoebae surface sample dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.21233/7kay-sd23
title: Gaodi testate amoebae surface sample dataset

description: Raw data for the Gaodi testate amoebae surface sample dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.21233/th9b-2303
title: Tell Tweini pollen dataset

description: Raw data for the Tell Tweini pollen dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.21233/f1h4-fp98
title: Urengoi-town testate amoebae surface sample dataset

description: Raw data for the Urengoi-town testate amoebae surface sample dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.18739/a29w09090
title: Larch tree carbon pools across a post-fire tree density gradient in far northeastern Siberia, 2010 - 2017

description: Fire severity is increasing in larch forests of the Siberian Arctic as climate warms, and initial fire impacts on tree demographic processes could be an especially important determinant of long-term forest structure and carbon (C) dynamics. We hypothesized that changes in post-fire larch recruitment impact C accumulation through tree density impacts on understory microclimate and permafrost thaw. We tested these hypotheses by quantifying C pools across a Cajander larch (Larix cajanderi Mayr.) tree density gradient within a fire perimeter near Cherskiy, Russia that burned in 1940. Across the density gradient, from 2010 - 2017 we inventoried larch trees and harvested ground-layer vegetation to estimate above ground contribution to C pools. We also quantified woody debris C pools and sampled below ground C pools (soil, fine roots, and coarse roots) in the organic + upper mineral soils. Our findings should highlight the potential for a climate-driven increase in fire severity to alter tree recruitment, successional dynamics, and C cycling in Siberian larch forests.
DOI: 10.17632/b2mscbnhmg.1
title: Datasets for Homebrew: an economical and sensitive glassmilk-based nucleic-acid extraction method for SARS-CoV-2 diagnostics

description: These datasets are those corresponding to our manuscript entitled 'Homebrew: an economical and sensitive glassmilk-based nucleic-acid extraction method for SARS-CoV-2 diagnostics'
DOI: 10.21233/6ky7-4j34
title: Lewis Lake (Pi.) diatom surface sample dataset

description: Raw data for the Lewis Lake (Pi.) diatom surface sample dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.18739/a22b8vd00
title: Updated Meteorological, Radiation, and Soil Temperature Data, Kuparuk River and Nearby Watersheds: Imnavait A site (IA), 1985-1993.

description: The data files in this data set contain climate information from sites on the North Slope of Alaska in or near the Kuparuk River basin. The data was collected for a hydrologic study of rivers in the North Slope region between 1985-present. Hydro-meteorological stations were established at various locations throughout the Kuparuk, but also in the Putuligayuk and Sagavanirktok watersheds. The variables collected at most stations were air temperature, humidity, wind speed and direction, soil temperature, snow temperature, precipitation, snow depth, and radiation. In the Imnavait Creek watershed (headwaters of the Kuparuk River), the Imnavait A site (IA) meteorological station, a 3 meter tripod, operated from 1986 to 1993. This dataset contains all data from the Imnavait A site (IA) meteorological station. IMPORTANT NOTE: Updates and corrections were made to the original datasets by the investigators, and all of the previously published data files should be replaced with this updated dataset. The following corrections were made to the datasets originally published in 2008 and 2010 (data collected 1985-2008): 1) data from annual .csv files were merged into one .csv file (for each station) containing all years of data, 2) appended new data collected from 2008 to 2018 into the .csv file 3) standardized file headers, 4) standardized variable names, units, and sensor installation height above ground surface 5) reviewed all data for quality assurance and added qualifiers to erroneous data, 6) added a data qualifier to wind data during periods of extensive riming on wind sensors, 7) added a qualifier when air temperatures are below -39 degrees Celsius (C) (minimum reporting temperature of some air temperature sensors), and 8) removed duplicative data and fixed timestamp issues. See https://arcticdata.io/catalog/view/urn%3Auuid%3Ad5fa4cfa-b84b-4970-926a-8dd10b418e6d for additional climate data from other nearby stations in our studies.
DOI: 10.21233/h8wq-v197
title: NLA06608-0407 diatom surface sample dataset

description: Raw data for the NLA06608-0407 diatom surface sample dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.21233/g4cj-b775
title: Dajiuhu testate amoebae surface sample dataset

description: Raw data for the Dajiuhu testate amoebae surface sample dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.21233/a4sb-3k85
title: Sandaohu testate amoebae surface sample dataset

description: Raw data for the Sandaohu testate amoebae surface sample dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.21233/wf68-r988
title: Søre Salatberget pollen dataset

description: Raw data for the Søre Salatberget pollen dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.21233/ex75-pw39
title: Sandaohu testate amoebae surface sample dataset

description: Raw data for the Sandaohu testate amoebae surface sample dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.21233/tkp7-zt16
title: Erxianyan testate amoebae surface sample dataset

description: Raw data for the Erxianyan testate amoebae surface sample dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.18739/a2xk84r6v
title: Sea ice thickness and false bottom measurements along drill lines during the Multidisciplinary drifting Observatory for the Study of Arctic Climate (MOSAiC) expedition, Leg 4

description: This dataset contains measurements of sea ice thickness along drill lines. These measurements were taken in the Central Arctic during Leg 4 of the Multidisciplinary drifting Observatory for the Study of Arctic Climate (MOSAiC) expedition, July 14-29, 2020. Thickness measurements include observations of rafted ice, false bottoms, and sea ice freeboard. Measurements were made through holes in the ice made with a 2-inch sea ice drill, with thickness and features observations made using a combination of thickness tape and a snow stick adapted for the purpose. The primary aim of these observations was to capture the presence and distribution of false bottom features under the ice during the melt season.
DOI: 10.34848/c5bvhj/4ieoc6
title: ms_nyse.xlsx

description: :unav
DOI: 10.21233/mrs6-hy91
title: Hani testate amoebae surface sample dataset

description: Raw data for the Hani testate amoebae surface sample dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.21233/sz17-h179
title: Changying testate amoebae surface sample dataset

description: Raw data for the Changying testate amoebae surface sample dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.21233/zv3a-z117
title: Tobolsk region testate amoebae surface sample dataset

description: Raw data for the Tobolsk region testate amoebae surface sample dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.34848/ztl686/o59kfv
title: ms_inn.xlsx

description: :unav
DOI: 10.18739/a2sx64b3g
title: Unmanned aerial vehicle (UAV) Imagery (3.4 centimeters (cm)) and Digital Elevation Model (6.8cm) from Point 660 in Southwest Greenland (67.15 North (N), 50.00 West (W)), 2016

description: Unmanned aerial vehicle (UAV) imagery of the surface of the Greenland Ice Sheet ablation area collected with a 3DR Solo quadcopter mounted with a Canon S110 digital camera (12 megabytes (MB)). Four flights were flown within 1 hour of solar noon to collect a total of 1,196 RGB images in RAW format. Flights were run with flight planner to ensure 80% overlap and four ground control point plastic trays were surveyed using a Trimble R7 Global Navigation Satellite System (GNSS) during the flights to conduct the georeferencing. The images were mosaiced using Agisoft Metashape Pro version 1.6.5. The camera adjustment parameters can be found in the supplementary table of "Terrain-Based Shadow Correction Method for Assessing Supraglacial Features on the Greenland Ice Sheet" by Sasha Leidman, Asa Rennermalm, Matthew Cooper, and Richard Lathrop. The imagery and Digital Elevation Model (DEM) were used as a sample dataset for a novel shadow correction method described in the manuscript. The imagery shows a 1.3 square kilometers (km2) area characterized by rough topography, bare ice, and supraglacial river networks.
DOI: 10.21233/scxc-xv87
title: Tuqiang testate amoebae surface sample dataset

description: Raw data for the Tuqiang testate amoebae surface sample dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.21233/fjbr-yn29
title: La Cruz pollen dataset

description: Raw data for the La Cruz pollen dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.21233/f664-eq89
title: Listvyanka-bog2 testate amoebae surface sample dataset

description: Raw data for the Listvyanka-bog2 testate amoebae surface sample dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.21233/2ekr-s416
title: Mann Lake pollen surface sample dataset

description: Raw data for the Mann Lake pollen surface sample dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.18739/a2p55dj04
title: Maps of contemporary subsistence land use in rural Interior Alaska derived from predictive models

description: This geospatial dataset provides model-based predictive maps of subsistence land use in rural Interior Alaska. Subsistence harvesting of wild resources is crucial to the well-being of Alaska Natives and rural Alaskans. The development of these community and regional scale maps was intended to improve our understanding of the spatial extent and patterns of subsistence practices, to support communication among land users, and to facilitate predictions of the human impacts from changes in resource availability, climate and environment, land use, and policy. Logistic regression models for predicting subsistence land use were developed using publicly-available maps of documented subsistence use areas assembled by Alaska Department of Fish and Game for 30 communities (Neufeld et al. 2019). Separate models were used for remote communities and road-connected communities. The best-fit models of subsistence land use probability included the terms: distance to community, distance to main travel corridors (rivers for remote communities; roads and rivers for road-connected communities), distance to lakes (for remote communities only), and community population size. The models were applied to 64 rural communities throughout the Interior region to generate probability maps of subsistence land use at the community level (file names: probability_subsistence_*communitytype*_*CommunityName*.tif). A regional probability map of subsistence land use was constructed using the maximum probability value per pixel from community-level maps (file name: probability_subsistence_InteriorAK.tif). Maps of predicted subsistence use areas were created by classifying the community-level probability maps into used and unused areas (file name: classification_subsistence_InteriorAK.zip). Classification accuracy ranged from 83-86%. Results suggest a large spatial extent (353,771 square kilometers (km2)) of subsistence land use in Interior Alaska, comprising ~60% of the region’s land area. These data were produced as part of a study “Geospatial patterns and models of subsistence land use in rural Interior Alaska” by D. R. N. Brown, T. J. Brinkman, G. Neufeld, L. Navarro, C. L. Brown, H. S. Cold, B. L. Woods, and B. L. Ervin currently in review with Ecology and Society (Brown et al., in review).
DOI: 10.21233/dpxm-5051
title: South America diatom surface sample dataset

description: Raw data for the South America diatom surface sample dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.21233/8a3w-ca36
title: Mukhrino testate amoebae surface sample dataset

description: Raw data for the Mukhrino testate amoebae surface sample dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.21233/w94v-kd97
title: Tangbei testate amoebae surface sample dataset

description: Raw data for the Tangbei testate amoebae surface sample dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.21233/re0w-p132
title: Colle Gnifetti charcoal dataset

description: Raw data for the Colle Gnifetti charcoal dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.21233/1p98-0644
title: Nanwenghe testate amoebae surface sample dataset

description: Raw data for the Nanwenghe testate amoebae surface sample dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.21233/ays0-xm64
title: Mukhrino testate amoebae surface sample dataset

description: Raw data for the Mukhrino testate amoebae surface sample dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.18739/a28w3837s
title: Size-Resolved Elemental and Optical Measurements of Greenland GEOSummit Aerosols 2003 to 2020

description: In 2003, University of California Davis was asked to design and implement an aerosol sampling and analysis program capable of providing continuous, year-round aerosol data while handling the extreme conditions at the Greenland Summit site, including burial in an under-snow container for a month at a time. The method we chose uses a slowly rotating multi-stage impactor (Davis Rotating-drum Unit for Monitoring, DRUM, (Cahill et al., 1985)) to collect aerosol samples, developed and applied earlier in Aerosol Characterization Experiments (ACE) Asia. This unit was compared with standard Federal Reference Method PM2.5 mass with excellent results (Cahill et al., 2014). The DRUM provides data at user-specified temporal resolution (e.g., 3-hour, 12-hour, 24-hour) in eight distinct size bins from 10 to 0.9 micron diameter (Raabe et al., 1988) and over extended periods (e.g., 44 weeks). To perform the compositional analysis, synchrotron induced X-ray fluorescence (SXRF) based at the Berkeley (Advanced Light Source) and Stanford (Stanford Synchrotron Radiation Light Source) facilities, with sensitivities for transition elements in the sub-picogram/cubic meter range (Jenniskens et al., 2012) Elements analyzed include: Na, Mg, Al, Si, P, S, Cl, K, Ca, Ti, V, Cr, Mn, Fe, Co, Ni, Cu, Zn, Ga, As, Se, Br, Rb, Sr, Y, Zr, Mo, and Pb. In 2021, Beamline 1B was developed at Crocker Nuclear Lab (UC Davis) to analyze light elements (Na to Fe) using Proton Induced X-ray Emission (PIXE) as well as bound hydrogen using Proton Elastic Scattering Analysis (PESA). The light elements, especially P, S, Cl, and K, aid identification of dust sources, as shown in (Seinfeld et al., 2004).
DOI: 10.21233/vhtd-cr65
title: Spring Lake diatom surface sample dataset

description: Raw data for the Spring Lake diatom surface sample dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.21233/g3fv-ga54
title: Erxianyan testate amoebae surface sample dataset

description: Raw data for the Erxianyan testate amoebae surface sample dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.18739/a2542j93z
title: Prudhoe_freshets, acoustic Doppler current profiler data, Stefansson Sound, Alaska, 2017-2018

description: This dataset contains zonal (U), meridional (V) current velocity data and acoustic backscatter data acquired in 0.25 meter (m) depth bins at 20-minute intervals by a 614 kilohertz (kHz) acoustic Doppler current profiler (ADCP). The data was taken aboard the N1 2017 cruise over Stefansson Sound, Alaska. The deployment depth is 8.2 m and the deployment period is 16 August 2017 - 09 September 2018. The N1 mooring is a bottom lander design instrumented with an upward-looking 614 kHz Teledyne RDI (RD Instruments) ADCP and a Seabird SBE37 pumped microcat CTD (conductivity, temperature, and depth) device. The motivation of the study is to describe the optical, structural and kinematic characteristics of freshwater plumes under landfast sea ice during the spring freshet in the Alaskan coastal Arctic.
DOI: 10.21233/8v01-jy08
title: Hani testate amoebae surface sample dataset

description: Raw data for the Hani testate amoebae surface sample dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.21233/66rc-pb46
title: Jinbei testate amoebae surface sample dataset

description: Raw data for the Jinbei testate amoebae surface sample dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.21233/tqav-rx17
title: Hani testate amoebae surface sample dataset

description: Raw data for the Hani testate amoebae surface sample dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.21233/gaen-at16
title: Massabesic Lake diatom surface sample dataset

description: Raw data for the Massabesic Lake diatom surface sample dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.21233/r5vr-8640
title: Tuqiang testate amoebae surface sample dataset

description: Raw data for the Tuqiang testate amoebae surface sample dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.21233/m8j2-xy79
title: Listvyanka-bog2 testate amoebae surface sample dataset

description: Raw data for the Listvyanka-bog2 testate amoebae surface sample dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.21233/csm4-6d22
title: Zhaogongting testate amoebae surface sample dataset

description: Raw data for the Zhaogongting testate amoebae surface sample dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.21233/e28r-5575
title: Peuil Peat Bog pollen dataset

description: Raw data for the Peuil Peat Bog pollen dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.21233/kq5f-ry94
title: Hippolytushoef pollen dataset

description: Raw data for the Hippolytushoef pollen dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.6084/m9.figshare.16587311.v9
title: AREAdata updating output files

description: AREAdata output files for automatically updating climate averages. These are daily climate estimates based on the CDS ERA-5 reanalysis, see pearselab.github.io/areadata/.<br>File names begin with the climate variable given:temp = Temperaturespechumid = Specific Humidityrelhumid = Relative Humidityprecip = Precipiationuv = Ultraviolet<br>File names contain the administrative division level:<br>countries - highest administrative division<br>GID1 - lower administrative division, equivalent to states<br>GID2 - lower administrative division, equivalent to counties<br>Files downloadable as RDS files for direct use in the R statistical programming environment (appended .RDS), or as zip-compressed tab delimited files for other applications (appended .zip).<br>
DOI: 10.21233/jcdc-j706
title: Zhaogongting testate amoebae surface sample dataset

description: Raw data for the Zhaogongting testate amoebae surface sample dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.21233/8bdz-m886
title: Zhaogongting testate amoebae surface sample dataset

description: Raw data for the Zhaogongting testate amoebae surface sample dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.21233/eqm4-vg82
title: Dajiuhu testate amoebae surface sample dataset

description: Raw data for the Dajiuhu testate amoebae surface sample dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.1184/r1/14981121.v1
title: Data Collected for A Review of Decision Making Under Deep Uncertainty Applications using Green Infrastructure for Flood Management

description: The data in these CSVs were collected from publications identified up to December 2020 from from the Web of Science and Google Scholar databases, supplemented by the database of RAND publications, using the following search parameters: flood OR flood management OR stormwater/storm water AND (“robust decision making” OR “adapt* pathway*” OR “decision scaling”).
DOI: 10.21223/vxoblg/du5axd
title: Deliverable_18328.docx
DOI: 10.21223/vxoblg/eya3w8
title: VDW_Manual.pdf
DOI: 10.21223/vxoblg/qwc4ty
title: VirusDetectWin.rar
DOI: 10.6073/pasta/432074cef8708d8366dcb4925835a8a2
title: MCR LTER: Coral Reef: Rates of benthic coral reef community metabolism from 2007 ongoing

description: Rates of community primary production and respiration can be calculated from the data presented here. For two sites on the north shore of Moorea these measurements are sampled upstream and downstream: dissolved oxygen, water column velocity (speed and direction), in situ light (PAR) levels, incident solar radiation, temperature, wind speed, and transect length. Estimates are made yearly across approximately 160 m of the backreef community. This material is based upon work supported by the U.S. National Science Foundation under Grant No. OCE 16-37396 (and earlier awards) as well as a generous gift from the Gordon and Betty Moore Foundation. Research was completed under permits issued by the French Polynesian Government (Délégation à la Recherche) and the Haut-commissariat de la République en Polynésie Francaise (DTRT) (Protocole d'Accueil 2005-2022). This work represents a contribution of the Moorea Coral Reef (MCR) LTER Site.
DOI: 10.6084/m9.figshare.19251593
title: Methane production controls in a young thermokarst lake formed by abrupt permafrost thaw

description: Data on sediment porewater, incubation experiments, and bubble samples, retrieved from ‘Big Trail Lake’, a young thermokarst lake 8 km north of Fairbanks, Alaska (64°55'9.47"N, 147°49'20.08"W). The full description of the data, measurement methods, and interpretation will be published in Pellerin, Lotem et al., ‘Methane production controls in a young thermokarst lake formed by abrupt permafrost thaw’, Global Change Biology (accepted). Authors: André Pellerin, Noam Lotem, Katey Walter Anthony, Efrat Eliani Russak, Nicholas Hasson, Hans Røy, Jeffrey P. Chanton, and Orit Sivan