cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.18739/a2610vs1h
title: AmeriFlux US-ICt Imnavait Creek Watershed Tussock Tundra. 2007-

description: The research approach of the US Study of Environmental Arctic Change (SEARCH) program, created by Arctic Observatory Networks (AON), is to seek development and deployment of a pan-arctic observing system that will measure the full range of continuing changes now underway in the Arctic. This project focuses on simultaneous measurements of carbon, water, and energy fluxes of the terrestrial landscape at hourly, daily, seasonal, and multi-year time scales. These are major regulatory drivers of the Arctic system and form key linkages and feedbacks between the land surface, the atmosphere, and the oceans. There are three automated weather stations deployed at Imnavait Creek in support of the AON objectives: The Ridge Station, the Biocomplexity Station, and the Fen Station. These stations will provide a comprehensive description of the state of the regional Arctic system with respect to these variables, its overall regulation and controlling features, and its interaction with the global system. In the longer-term, this project will provide a legacy of data, a network of observing platforms, and a set of clear protocols for long-term observation and further analysis.
DOI: 10.18739/a29s1kk5b
title: Arctic Observing Network (AON) Conductivity-Temperature-Depth (CTD) data collected by United States Coast Guard Cutter (USCGC) Healy (HLY1303), Beaufort Sea - 152 West, 2013

description: The Pacific sector of the Arctic Ocean is experiencing major reductions in seasonal sea ice extent and increases in sea surface temperatures. One of the key uncertainties in this region is how the marine ecosystem will respond to seasonal shifts in the timing of spring sea ice retreat and/or delays in fall sea ice formation. Variations in upper ocean water hydrography, planktonic production, pelagic-benthic coupling and sediment carbon cycling are all influenced by sea ice and temperature change. To more systematically track the broad biological response to sea ice retreat and associated environmental change, an international consortium of scientists have developed a coordinated Distributed Biological Observatory (DBO) that includes selected biological measurements at multiple trophic levels, along with satellite and mooring measurements. The DBO currently focuses on five regional biological hotspot locations along a latitudinal gradient that allows for consistent sampling and monitoring at five biologically productive locations across a latitudinal gradient: DBO 1 (SLIP)-south of St. Lawrence Island (SLI), DBO2 (Chirikov)-north of SLI, DBO3 (southern Chukchi Sea), DBO4-NE Chukchi Sea, and DBO5-Barrow Canyon.
 This data has been collected and submitted as part of the Distributed Biological Observatory (DBO) program. Data were originally collected as part of the AON project, headed by Robert Pickart (rpickart@whoi.edu). Conductivity-Temperature-Depth (CTD) data were taken aboard the USCGC Healy during HLY1303. During this cruise, data were taken along the established repeat hydrography transects, DBO5 and DBO6. This submission includes CTD data from the DBO6 transect. There are ten cnv data files containing the following parameters: pressure, depth, temperature, conductivity, oxygen, fluorescence, practical salinity, density, and potential temperature.
DOI: 10.18739/a28s4jp53
title: AmeriFlux CA-Oas Saskatchewan - Western Boreal, Mature Aspen. 1997-

description: Measurements taken at: Saskatchewan - Western Boreal, Mature Aspen
DOI: 10.18739/a2zc7rt9h
title: AmeriFlux US-ICs Imnavait Creek Watershed Wet Sedge Tundra. 2007-

description: Research topics are: 1) Seasonal variation of CO2, H2O and CH4 fluxes and the inter-annual differences in arctic landscapes; 2) Climatic effect on the arctic CO2, CH4 budget.
DOI: 10.18739/a29k45s8k
title: Marine Mammal sighting data from cruises in the Pacific Arctic, 2009-2018, from Distributed Biological Observatory (DBO) Regions

description: The Pacific Arctic region (PAR) extends from the northern Bering Sea to the Arctic Ocean Basin, and it is experiencing major reductions in seasonal sea ice and increases in sea surface temperatures. Within the PAR, the northern Bering and Chukchi Seas are among the most productive marine ecosystems in the Arctic and are important carbon sinks and seasonal sources of organic materials. These recent shifts in seasonal sea ice cover are having profound consequences for seasonal phytoplankton production as well as to intimately linked higher trophic levels, including food harvested locally for subsistence. Key uncertainties remain as to how the marine ecosystem will respond to seasonal shifts in the timing of spring sea ice retreat and/or delays in fall sea ice formation. Productivity may change as sea ice declines and penetration of sunlight into open water increases, but the trajectory of changes to food web structure are unclear. Many organisms, from plankton to top predators are changing their distribution, migration and foraging patterns. A number of marine sites in the Pacific Arctic have high biomass, both in the water column and on the seafloor and are focused foraging points for apex predators. Several of these sites have been identified and re-occupied seasonally and interannually during multiple international cruises as part of the Distributed Biological Observatory (DBO) network. The DBO observational data documenting the importance of these ecosystem “hotspots” provide a growing marine time-series from the northern Bering Sea to Barrow Canyon at the boundary of the Chukchi and Beaufort seas, and across the Beaufort Sea to Amundsen Gulf. In US waters, these sites are DBO1 (south of St. Lawrence Island, DBO2 (Chirikov Basin north of SLI), DBO3 (southern Chukchi Sea), DBO4 (central Chukchi Sea), DBO5 (upper Barrow Canyon) , DBO6 (Beaufort Sea shelf break at ~152W). 
 As part of DBO efforts, marine mammal visual detections have been obtained from any research voyage with an on-board observer and sightings within DBO regions 1-6 have been highlighted.
DOI: 10.18739/a2j38kh6v
title: Ecosystem Carbon Fluxes, Toolik Lake, Alaska, 1995 and 1996

description: Carbon dioxide exchange, air temperature, and photosynthetically active radiation (PAR) were measured on tundra plots at the Toolik Lake Field Station during the summers of 1995 and 1996. Measurements were made on control plots, plots from which snow was removed, and plots from which snow was removed before the installation of heating cables at 10 cm depth. Plots with heating cables were heated two hours per day. Carbon dioxide exchange measurements utilized a Li-Cor 6200 portable gas exchange system, and a Li-Cor quantum sensor was used to measure PAR. Data are available in ASCII and MS Excel formats.
DOI: 10.18739/a2057cs4b
title: AmeriFlux CA-Gro Ontario - Groundhog River, Boreal Mixedwood Forest. 2003-

description: Dynamics of carbon dioxide, water, and energy fluxes and the associated meteorological drivers; assessment of the ecological character of the forest; examination of the use of remote sensing to model carbon dioxide exchange and the status of macronutrients in the canopy.
DOI: 10.18739/a2mw28f13
title: AmeriFlux US-ICh Imnavait Creek Watershed Heath Tundra. 2007-

description: The research approach of the US Study of Environmental Arctic Change (SEARCH) program, created by Arctic Observatory Networks (AON), is to seek development and deployment of a pan-arctic observing system that will measure the full range of continuing changes now underway in the Arctic. This project focuses on simultaneous measurements of carbon, water, and energy fluxes of the terrestrial landscape at hourly, daily, seasonal, and multi-year time scales. These are major regulatory drivers of the Arctic system and form key linkages and feedbacks between the land surface, the atmosphere, and the oceans. There are three automated weather stations deployed at Imnavait Creek in support of the AON objectives: The Ridge Station, the Biocomplexity Station, and the Fen Station. These stations will provide a comprehensive description of the state of the regional Arctic system with respect to these variables, its overall regulation and controlling features, and its interaction with the global system. In the longer-term, this project will provide a legacy of data, a network of observing platforms, and a set of clear protocols for long-term observation and further analysis.
DOI: 10.18739/a2jw86n23
title: AmeriFlux US-EML Eight Mile Lake Permafrost thaw gradient, Healy Alaska. 2008-

description: Research topics are: 1) Seasonal variation of CO2, H2O and CH4 fluxes and the inter-annual differences in arctic landscapes; 2) Climatic effect on the arctic CO2, CH4 budget.
DOI: 10.18739/a2d795b1r
title: Surface energy balance and modeled firn density, Greenland ice sheet, 1998-2015

description: Recent Arctic atmospheric warming induces more frequent surface melt in the accumulation area of the Greenland ice sheet. This increased melting modifies the near-surface firn structure and density and may reduce the firn’s capacity to retain meltwater. Yet, few long-term observational records are available to determine the evolution and drivers of firn density. In Vandecrux et al. (2018, DOI: 10.1029/2017JF004597), we compiled and gap-filled Greenland Climate Network (GC-Net) automatic weather station data from Crawford Point, Dye-2, NASA-SE and Summit between 1998 and 2015. These records then forced a coupled surface energy balance and firn evolution model. In this data package we firstly provide, for each site, our calculations of surface conditions: hourly 2 m air temperature and humidity, 10 m wind speed as well as energy and mass fluxes at the surface. Secondly we give the simulated firn density along with the contributions of its climatic drivers.
DOI: 10.18739/a2b853j0b
title: AmeriFlux US-Brw Barrow. 1998-

description: Research topics are: 1) Seasonal variation of CO2, H2O and CH4 fluxes and the inter-annual differences in arctic landscapes; 2) Climatic effect on the arctic CO2, CH4 budget.
DOI: 10.18739/a20v89h5p
title: Thule, Greenland CO2 flux, soil moisture and temperature - 2015

description: These data describe field measurements of soil CO2 flux, soil moisture, and soil temperature for a climate experimental study site in a dry tundra ecosystem near Thule, Greenland. Field measurements were collected in four experimental treatments simulating potential future climate scenarios predicted by the International Panel on Climate Change (IPCC). The four treatments represent: 1) control conditions with no treatments; 2) water addition to simulate greater precipitation; 3) heat addition (heated by 2ºC) to simulate warmer conditions; and 4) both water and heat addition. Field measurements were collected once per week throughout the 2015 summer season. Data presented here represent the mean value of four replicate data collection points for each experimental treatment on each day of collection. The data are arranged as: date, climate treatment type, mean soil CO2 flux (µmol m-2 s-1), flux standard error, mean volumetric soil moisture, moisture standard error, mean soil temperature (ºC), and temperature standard error.
DOI: 10.6084/m9.figshare.27888378
title: Additional files for Drivers of the temporal dynamics of social bee viromes

description: This folder contains:the plant-insect interactions recorded for the three time points of April (1), June (2) and August (3) 2016, from which we calculated the Horn-Morisita niche dissimilarity indices.the insect virus normalized read numbers matrices between our focal 5 bee species (<i>Apis mellifera</i>, <i>Bombus</i><i> </i><i>terrestris</i>, <i>Bombus lapidarius</i>, <i>Bombus hortorum</i> and <i>Bombus pascuorum</i>), from which we calculated the virome dissimilarity indices for the three time points. VirINS files for insect viruses, number 1 for April, 2 for June, 3 for August.the plant virus normalized read numbers matrices between our focal 5 bee species (<i>Apis mellifera</i>, <i>Bombus</i><i> </i><i>terrestris</i>, <i>Bombus lapidarius</i>, <i>Bombus hortorum</i> and <i>Bombus pascuorum</i>), from which we calculated the virome dissimilarity indices for the three time points. VirPLANT files for insect viruses, number 1 for April, 2 for June, 3 for August.the mitochondrial gene COI sequence alignment for the 5 bee species.the R script used to test the effect of host ecological niche dissimilarity (Horn-Morisita), the host phylogenetic distance (using DNADist method to calculate the nucleotide distance between aligned sequences) and phenology (time points) on virome dissimilarity.Data (files 'ApisFromsiRNA', 'ApisMetaTrans', 'BombusFromsiRNA', and 'BombusMetaTrans'), and scripts to generate the Venn diagram showing overlap in virus composition between honeybees and bumblebees, and between meta-transcriptomes and small-RNA sequencing.Output files of small RNA sequences screen for viral reads, using CoverM and the same viral assembly targets as for meta-transcriptomes (text file names starting with 'covread_small*). Number 1 for April, 2 for June, 3 for August.17 individual meta-transcriptome library output files from virus screening with CoverM (text files with libary names). Number 1 for April, 2 for June, 3 for August.One table that provides the final names of viral assemblies used in the article (file named 'reference names viruses').The list of viral assemblies in FAS format (file named 'Viral assemblies for mapping').One data table with compiled and normalized (by viral target sequence length and transcriptome depth) read numbers for each viral target and libraries (file named 'Normalized Log Viromes').A text file (named 'BeeViromeRscript') shows the R script used to perform the analyses, including heat maps, PERMANOVA and NMDS plots.The datasets for both meta-transcriptomes (names 'NormalizedNumberReadsMetaTrans') and small RNA sequences (named 'NormalizedNumberReadssiRNA'), including for both normalized read numbers for each viral targets and libraries, including taxonomic classification of viruses (named 'NormalizedNumberReadsMetaTrans_withTAXA'), A text file with the R scripts to generate the bipartite networks, perform network modularity analyses and calculate diversity metrics (named 'BeeViromeBipartiteNetworks').
DOI: 10.18739/a25h7bt6b
title: Plant phenology of species in dry heath tundra around Toolik Field Station, Alaska, 2011-2017

description: The Toolik Field Station (TFS) plant phenology program monitors the timing of specific phenological developmental stages of plant species commonly found in the dry heath tundra plant community. The TFS phenology program began in response to TFS research community requests to collect baseline environmental data that would be broadly applicable and provide context to research projects conducted near TFS.
 The TFS plant phenology data collection protocol is based on the International Tundra Experiment (ITEX) (www.geog.ubc.ca/itex) protocol for the Toolik Snowfence Experiment.
 This dry heath tundra dataset began in 2011 and continues through 2017.
DOI: 10.18739/a2pz51m5t
title: Aerial census of reindeer in Taimyr, Russia, 1987

description: The dataset is a part of a comprehensive information system that provides insight into the historical relationship between humans, climate, environment, and reindeer in Taimyr, Russia. This dataset is a product of digitization and reanalysis of historical aerial observational data collected in 1987 by the researchers from the Extreme North Agriculture Research Institute. The data contain spatial data representation and descriptions based on the approximate flight paths undertaken in July of 1987 reconstructed from the unpublished aerial census report and data log.
 The Taimyr Reindeer Migration Reanalysis (TAMARA) project is an integral part of the worldwide network of reindeer observation programs.
DOI: 10.18739/a2r785p3x
title: Beaufort Gyre Observing System (BGOS) Underway pCO2 data and air-sea CO2 fluxes, Arctic Ocean, 2011-2015

description: These data were collected on the CCGS (Canadian Coast Guard) Louis St. Laurent during BGOS (Beaufort Gyre Observing System) research cruises in 2012, 2013, 2014, 2016 and 2017 in the Beaufort Sea area. They are underway pCO

2

 (Partial pressure of CO

2

) data collected using an equilibrator-infrared method (SUPER CO

2

 system from Sunburst Sensors). Ancillary data for calculation of air-sea CO

2

 fluxes include temperature, salinity, atmospheric CO

2

, wind speed, and gas transfer velocity (calculated from Wanninkhof et al. (2009). Fluxes are not corrected for fractional ice-coverage.
DOI: 10.18739/a23f4kn52
title: Seasonal soil moisture measurements from a Circumarctic Active Layer Monitoring (CALM) grid, Barrow, Alaska, 2016

description: Seasonal soil moisture measurements were collected during the 2016 growing season at each Circumarctic Active Layer Monitoring (CALM) grid subset plot (30) in Utqiaġvik (formerly Barrow), Alaska. At each plot one soil moisture measurement was acquired, the date, start and end times, and the people present were also recorded. Moisture measurements were taken outside of every plot on the northeastern most corner in order to reduce disturbance of vegetation. These measurements are part of the Arctic Observing Network (AON) - International Tundra Experiment (ITEX) initiative and help to document seasonal changes in surface moisture and structure at high spatial scales.
DOI: 10.18739/a2kk94c47
title: Aerial census of reindeer in Taimyr, Russia, 1992

description: The dataset is a part of a comprehensive information system that provides insight into the historical relationship between humans, climate, environment, and reindeer in Taimyr, Russia. This dataset is a product of digitization and reanalysis of historical aerial observational data collected in 1992 by the researchers from the Extreme North Agriculture Research Institute. The data contain spatial data representation and descriptions based on the approximate flight paths undertaken in July-August of 1992 reconstructed from the unpublished aerial census report and data log. The Taimyr Reindeer Migration Reanalysis (TAMARA) project is an integral part of the worldwide network of reindeer observation programs.
DOI: 10.15468/dl.acbx34
title: Occurrence Download

description: A dataset listing the 728855 species recorded in GBIF matching the query:
{
 "and" : [
 "Continent is Europe",
 "TaxonKey is one of (Animalia, Plantae, Fungi)"
 ]
}

 The dataset's 728855 records were derived from 34551 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0027641-241107131044228/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.30949310
title: <b>Spatiotemporal Analysis of Cutaneous and Visceral Leishmaniasis in Brazil, 2003 to 2022</b>

description: This repository provides the datasets supporting the study <b>“Spatiotemporal Analysis of Cutaneous and Visceral Leishmaniasis in Brazil, 2003 to 2022”</b>, aimed at detecting <b>spatial, temporal, and space–time clusters</b> of <b>cutaneous</b> and <b>visceral</b> leishmaniasis across <b>5,559 Brazilian municipalities</b>. The data were organized for use with <b>SaTScan</b> (Discrete Poisson model), enabling <b>purely spatial</b>, <b>purely temporal</b>, <b>space–time</b>, and <b>spatial variation in temporal trends</b> analyses, as well as an additional dataset of <b>environmental, climatic, and socioeconomic covariates</b> used for comparative statistical testing (e.g., Student’s t-test in Jamovi).The dataset includes: (i) annual municipality-level case counts for cutaneous and visceral leishmaniasis covering <b>2003–2022</b>; (ii) a population dataset stratified by municipality, sex, and age group for <b>2005, 2010, and 2022</b>; (iii) a municipal centroid file (coordinates) to support spatial referencing in SaTScan; and (iv) a single covariate dataset containing environmental/climatic/socioeconomic indicators (including remotely sensed variables), with the variable <b>Leishmaniasis</b> identifying the outcome type (Cutaneous or Visceral). Files are structured to facilitate reproducibility and direct integration into SaTScan and Jamovi workflows.Included files: <b>cutaneous_2003_2022_anual.csv</b>, <b>visceral_2003_2022_anual.csv</b>, <b>population.csv</b>, <b>leishmaniasis_centroides.csv</b>, <b>leishmaniasis_covariate.csv</b>, plus the data dictionary and analysis-parameter documentation.
DOI: 10.6084/m9.figshare.30949310.v1
title: <b>Spatiotemporal Analysis of Cutaneous and Visceral Leishmaniasis in Brazil, 2003 to 2022</b>

description: This repository provides the datasets supporting the study <b>“Spatiotemporal Analysis of Cutaneous and Visceral Leishmaniasis in Brazil, 2003 to 2022”</b>, aimed at detecting <b>spatial, temporal, and space–time clusters</b> of <b>cutaneous</b> and <b>visceral</b> leishmaniasis across <b>5,559 Brazilian municipalities</b>. The data were organized for use with <b>SaTScan</b> (Discrete Poisson model), enabling <b>purely spatial</b>, <b>purely temporal</b>, <b>space–time</b>, and <b>spatial variation in temporal trends</b> analyses, as well as an additional dataset of <b>environmental, climatic, and socioeconomic covariates</b> used for comparative statistical testing (e.g., Student’s t-test in Jamovi).The dataset includes: (i) annual municipality-level case counts for cutaneous and visceral leishmaniasis covering <b>2003–2022</b>; (ii) a population dataset stratified by municipality, sex, and age group for <b>2005, 2010, and 2022</b>; (iii) a municipal centroid file (coordinates) to support spatial referencing in SaTScan; and (iv) a single covariate dataset containing environmental/climatic/socioeconomic indicators (including remotely sensed variables), with the variable <b>Leishmaniasis</b> identifying the outcome type (Cutaneous or Visceral). Files are structured to facilitate reproducibility and direct integration into SaTScan and Jamovi workflows.Included files: <b>cutaneous_2003_2022_anual.csv</b>, <b>visceral_2003_2022_anual.csv</b>, <b>population.csv</b>, <b>leishmaniasis_centroides.csv</b>, <b>leishmaniasis_covariate.csv</b>, plus the data dictionary and analysis-parameter documentation.
DOI: 10.15468/emejew
title: The first Permian Diaphanopterodea (Insecta, Megasecopteromorpha) from China

description: This dataset contains the digitized treatments in Plazi based on the original journal article Yang, Nan, Cui, Yingying, Xu, Ziqiang, Xu, Yanqi, Ren, Dong, Béthoux, Olivier (2024): The first Permian Diaphanopterodea (Insecta, Megasecopteromorpha) from China. Fossil Record 27 (2): 247-258, DOI: 10.3897/fr.27.e128892AbstractA new Diaphanopterodea (Insecta, Palaeoptera, Megasecopteromorpha), Sinoelmoa yangquanensis gen. et sp. nov., is described based on a single specimen discovered from the Shuiquan Gully locality (Shanxi Formation; Permian, Cisuralian, Asselian; China). A broad comparative analysis of the wing venation of the known members of the diaphanopterodean families Parelmoidae and Elmoidae allowed assigning the new taxon to the former family. This new occurrence represents the first record of a Permian Diaphanopterodea from China, and both the earliest and most oriental record for the Parelmoidae. It sheds new light on the distribution and diversity of these extinct taxa.