cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.18739/a2m90244d
title: Chlorine isotopes in soils and snow of the Arctic Coastal Plain, Alaska 2020

description: This dataset contains ratios of stable chlorine isotopes, 35Cl and 37Cl, in the soil organic chlorine pool, the soil inorganic chlorine pool, and in snow from sites across the Arctic Coastal Plain of northern Alaska. Data are expressed in delta notation, as per mil d37Cl vs. standard mean ocean chloride (SMOC). These data support a study of biological chlorine cycling in the Arctic and its influence on greenhouse gas production. Microbes that can decompose chlorinated organic compounds were once considered relevant only in areas contaminated with pesticides and organic solvents. However, biological chlorine cycling is proving to be widespread in natural environments. Previous studies of biological chlorine cycling were mostly limited to forested ecosystems. This project was the first to demonstrate the importance of the production and degradation of chlorinated organic compounds in Arctic soils. Furthermore, there was little information about the linkages between chlorine cycling and other important ecosystem processes, such as production of carbon dioxide and methane from soils. Species in the genus Dehalococcoides are highly specialized, using hydrogen, acetate, vitamin B12-like compounds, and organic chlorine produced by the surrounding community. We studied which neighbors might produce these essential resources for Dehalococcoides species. We found that Dehalococcoides species are ubiquitous across the Arctic Coastal Plain and are closely associated with a network of microbes that produce or consume hydrogen or acetate, including the most abundant anaerobic bacteria and methanogenic archaea. We also found organic chlorine and microbes that can produce these compounds throughout the study area. Therefore, Dehalococcoides could control the balance between carbon dioxide and methane (a more potent greenhouse gas) when suitable organic chlorine compounds are available to drive hydrogen and acetate uptake, making them unavailable for methane production.
DOI: 10.18739/a2gm81q12
title: Total chlorine and bromine in soils of Arctic Coastal Plain, northern Alaska 2018 - 2021

description: These data were generated using X-ray fluorescence to determine total chlorine and bromine concentrations in soils collected from various locations along the Arctic Coastal Plain. This study used soils collected in 2017-2018 specifically for this purpose, as well as archived soils from previous studies in the region, collected from 2008-2011. These data support a study of biological chlorine cycling in the Arctic and its influence on greenhouse gas production. Microbes that can decompose chlorinated organic compounds were once considered relevant only in areas contaminated with pesticides and organic solvents. However, biological chlorine cycling is proving to be widespread in natural environments. Previous studies of biological chlorine cycling were mostly limited to forested ecosystems. This project was the first to demonstrate the importance of the production and degradation of chlorinated organic compounds in Arctic soils. Furthermore, there was little information about the linkages between chlorine cycling and other important ecosystem processes, such as production of carbon dioxide and methane from soils. Species in the genus Dehalococcoides are highly specialized, using hydrogen, acetate, vitamin B12-like compounds, and organic chlorine produced by the surrounding community. We studied which neighbors might produce these essential resources for Dehalococcoides species. We found that Dehalococcoides species are ubiquitous across the Arctic Coastal Plain and are closely associated with a network of microbes that produce or consume hydrogen or acetate, including the most abundant anaerobic bacteria and methanogenic archaea. We also found organic chlorine and microbes that can produce these compounds throughout the study area. Therefore, Dehalococcoides could control the balance between carbon dioxide and methane (a more potent greenhouse gas) when suitable organic chlorine compounds are available to drive hydrogen and acetate uptake, making them unavailable for methane production.
DOI: 10.18739/a2bv79w98
title: Chloride and sulfate concentrations in snow and rain of Arctic Coastal Plain, Alaska, 2018

description: Snow cores were collected from eight sites along the Arctic Coastal Plain in Alaska in April 2018, close to the time of maximum snow accumulation. Chloride and sulfate were measured by ion chromatography (Dionex ICS5000+) and input of these ions to the landscape was estimated using snow water equivalent derived from snow depth and density measurements. Rainfall was collected opportunistically at three of the sites in July 2018. These data support a study of biological chlorine cycling in the Arctic and its influence on greenhouse gas production. Microbes that can decompose chlorinated organic compounds were once considered relevant only in areas contaminated with pesticides and organic solvents. However, biological chlorine cycling is proving to be widespread in natural environments. Previous studies of biological chlorine cycling were mostly limited to forested ecosystems. This project was the first to demonstrate the importance of the production and degradation of chlorinated organic compounds in Arctic soils. Furthermore, there was little information about the linkages between chlorine cycling and other important ecosystem processes, such as production of carbon dioxide and methane from soils. Species in the genus Dehalococcoides are highly specialized, using hydrogen, acetate, vitamin B12-like compounds, and organic chlorine produced by the surrounding community. We studied which neighbors might produce these essential resources for Dehalococcoides species. We found that Dehalococcoides species are ubiquitous across the Arctic Coastal Plain and are closely associated with a network of microbes that produce or consume hydrogen or acetate, including the most abundant anaerobic bacteria and methanogenic archaea. We also found organic chlorine and microbes that can produce these compounds throughout the study area. Therefore, Dehalococcoides could control the balance between carbon dioxide and methane (a more potent greenhouse gas) when suitable organic chlorine compounds are available to drive hydrogen and acetate uptake, making them unavailable for methane production.
DOI: 10.21233/yzpp-1v77
title: Zhuanglin testate amoebae surface sample dataset

description: Raw data for the Zhuanglin testate amoebae surface sample dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.18739/a2736m35v
title: Soil pore water anions in Arctic Coastal Plain, northern Alaska, July 2018

description: This data set contains concentrations of chloride and other anions (in units of micromoles per liter) in soil pore water collected from eight sites across the Arctic Coastal Plain of northern Alaska in July 2018. Soil water was collected from various depths and analyzed by ion chromatography (Dionex ICS5000+). These data support a study of biological chlorine cycling in the Arctic and its influence on greenhouse gas production. Microbes that can decompose chlorinated organic compounds were once considered relevant only in areas contaminated with pesticides and organic solvents. However, biological chlorine cycling is proving to be widespread in natural environments. Previous studies of biological chlorine cycling were mostly limited to forested ecosystems. This project was the first to demonstrate the importance of the production and degradation of chlorinated organic compounds in Arctic soils. Furthermore, there was little information about the linkages between chlorine cycling and other important ecosystem processes, such as production of carbon dioxide and methane from soils. Species in the genus Dehalococcoides are highly specialized, using hydrogen, acetate, vitamin B12-like compounds, and organic chlorine produced by the surrounding community. We studied which neighbors might produce these essential resources for Dehalococcoides species. We found that Dehalococcoides species are ubiquitous across the Arctic Coastal Plain and are closely associated with a network of microbes that produce or consume hydrogen or acetate, including the most abundant anaerobic bacteria and methanogenic archaea. We also found organic chlorine and microbes that can produce these compounds throughout the study area. Therefore, Dehalococcoides could control the balance between carbon dioxide and methane (a more potent greenhouse gas) when suitable organic chlorine compounds are available to drive hydrogen and acetate uptake, making them unavailable for methane production.
DOI: 10.21233/cvb4-y921
title: Graham Lake diatom surface sample dataset

description: Raw data for the Graham Lake diatom surface sample dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.18739/a23b5w907
title: Soil chemical and physical data, Arctic Coastal Plain of northern Alaska, April 2018

description: This data set contains chemical and physical data for soil cores collected from eight sites across the Arctic Coastal Plain of northern Alaska in April 2018. Three replicate soils cores were collected at each site and cores were divided into 5 centimeter (cm) horizons. These data support a study of biological chlorine cycling in the Arctic and its influence on greenhouse gas production. Microbes that can decompose chlorinated organic compounds were once considered relevant only in areas contaminated with pesticides and organic solvents. However, biological chlorine cycling is proving to be widespread in natural environments. Previous studies of biological chlorine cycling were mostly limited to forested ecosystems. This project was the first to demonstrate the importance of the production and degradation of chlorinated organic compounds in Arctic soils. Furthermore, there was little information about the linkages between chlorine cycling and other important ecosystem processes, such as production of carbon dioxide and methane from soils. Species in the genus Dehalococcoides are highly specialized, using hydrogen, acetate, vitamin B12-like compounds, and organic chlorine produced by the surrounding community. We studied which neighbors might produce these essential resources for Dehalococcoides species. We found that Dehalococcoides species are ubiquitous across the Arctic Coastal Plain and are closely associated with a network of microbes that produce or consume hydrogen or acetate, including the most abundant anaerobic bacteria and methanogenic archaea. We also found organic chlorine and microbes that can produce these compounds throughout the study area. Therefore, Dehalococcoides could control the balance between carbon dioxide and methane (a more potent greenhouse gas) when suitable organic chlorine compounds are available to drive hydrogen and acetate uptake, making them unavailable for methane production.
DOI: 10.21233/0f4f-0330
title: Bakchar mire testate amoebae surface sample dataset

description: Raw data for the Bakchar mire testate amoebae surface sample dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.21233/ac2p-0j21
title: TangbeiB testate amoebae surface sample dataset

description: Raw data for the TangbeiB testate amoebae surface sample dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.21233/z43w-nv46
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: 10.18739/a2zk55n5m
title: The climate envelope of Alaska’s northern treelines: implications for controlling factors and future treeline advance. Primary data and analyses 2019 - 2021

description: Understanding the key mechanisms that control northern treelines is important to accurately predict biome shifts and terrestrial feedbacks to climate. At a global scale, it has long been observed that elevational and latitudinal treelines occur at similar mean growing season air temperature (GSAT) isotherms, inspiring the growth limitation hypothesis (GLH) that cold GSAT limits aboveground growth of treeline trees, with mean treeline GSAT ~6-7 degrees celsius (°C). Treelines with mean GSAT warmer than 6-7 °C may indicate other limiting factors. Many treelines globally are not advancing despite warming, and other climate variables are rarely considered at broad scales. Our goals were to test whether current boreal treelines in northern Alaska correspond with the GLH isotherm, determine which environmental factors are most predictive of treeline presence, and to identify areas beyond the current treeline where advance is most likely. We digitized ~12,400 kilometers (km) of treelines (greater than 26K points) and computed seasonal climate variables across northern Alaska. We then built a generalized additive model predicting treeline presence to identify key factors determining treeline. Two metrics of mean GSAT at Alaska’s northern treelines were consistently warmer than the 6-7 °C isotherm (means of 8.5 °C and 9.3 °C), indicating that direct physiological limitation from low GSAT is unlikely to explain the position of treelines in northern Alaska. Our final model included cumulative growing degree-days, near-surface (≤ 1 meters (m)) permafrost probability, and growing season total precipitation, which together may represent the importance of soil temperature. Our results indicate that mean GSAT may not be the primary driver of treeline in northern Alaska or that its effect is mediated by other more proximate, and possibly non-climatic, controls. Our model predicts treeline potential in several areas beyond current treelines, pointing to possible routes of treeline advance if unconstrained by non-climatic factors.
DOI: 10.21233/bdvs-aw77
title: Akko pollen dataset

description: Raw data for the Akko pollen dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.21233/fq63-2f54
title: Salem diatom surface sample dataset

description: Raw data for the Salem diatom surface sample dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.21233/pfax-4s96
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/grcy-kq59
title: Samara mire testate amoebae surface sample dataset

description: Raw data for the Samara mire testate amoebae surface sample dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.21233/kycv-xb16
title: Muddy Brook Pond diatom surface sample dataset

description: Raw data for the Muddy Brook Pond diatom surface sample dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.18739/a2tt4fv2z
title: Alaska Native Successful Aging, Northwest, Anchorage, Aleutian Pribilof Islands, 2016-2021

description: One on one, semi-structured interviews with Alaska Native (AN) Elders (Aleut, Inupiat, Central Yup'ik, Siberian Yupik) in each of the participating communities in the Norton Sound southern sub region, Aleutian Pribilof Island communities, and Anchorage. These interviews explored the meaning of successful aging, what is required to age successfully in their respective communities, and how they have maintained their health and well-being in both rural and urban settings. A second semi-structured one on one interview questionnaire was used with those Alaska Native Elders originally from the Norton Sound southern sub-region who have relocated to Anchorage. This questionnaire explored the reasons the Alaska Native Elders moved, the type and frequency of services they needed, and how their place of residence changed their definition of successful aging.
DOI: 10.21233/7bnw-9w54
title: Blenheim Gilboa Rese. diatom surface sample dataset

description: Raw data for the Blenheim Gilboa Rese. diatom surface sample dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.21233/6rhg-6556
title: Qizimeishan testate amoebae surface sample dataset

description: Raw data for the Qizimeishan testate amoebae surface sample dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.21233/x2cw-xr88
title: Slieveanorra bog pollen dataset

description: Raw data for the Slieveanorra bog pollen dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.21233/8j9b-rq33
title: Yuanchi testate amoebae surface sample dataset

description: Raw data for the Yuanchi testate amoebae surface sample dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.21233/mrex-0j58
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/j3fe-c743
title: Long Lake(Wr.) diatom surface sample dataset

description: Raw data for the Long Lake(Wr.) diatom surface sample dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.21233/eqky-gb88
title: Community Lake diatom surface sample dataset

description: Raw data for the Community Lake diatom surface sample dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.21233/e7g6-pt86
title: Burr Pond diatom surface sample dataset

description: Raw data for the Burr Pond diatom surface sample dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.21233/4we9-cp26
title: Nojoe diatom surface sample dataset

description: Raw data for the Nojoe diatom surface sample dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.21233/wjgx-t402
title: NLA06608-1086 diatom surface sample dataset

description: Raw data for the NLA06608-1086 diatom surface sample dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.21233/ph1b-n836
title: Anton van Eyck pollen dataset

description: Raw data for the Anton van Eyck pollen dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.21233/6sen-sg22
title: Bakchar mire2 testate amoebae surface sample dataset

description: Raw data for the Bakchar mire2 testate amoebae surface sample dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.21233/yn2g-p639
title: Lake Louise diatom surface sample dataset

description: Raw data for the Lake Louise diatom surface sample dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.21233/pfkz-8434
title: Long Lake2 diatom surface sample dataset

description: Raw data for the Long Lake2 diatom surface sample dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.21233/d1vr-ny84
title: Lucky Pond diatom surface sample dataset

description: Raw data for the Lucky Pond diatom surface sample dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.21233/cdep-8240
title: Big Muddy diatom surface sample dataset

description: Raw data for the Big Muddy diatom surface sample dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.21233/zpyf-7t74
title: Wanghongyang testate amoebae surface sample dataset

description: Raw data for the Wanghongyang testate amoebae surface sample dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.21233/cjt9-je59
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: 10.21233/2krm-1h05
title: Chaffin Pond diatom surface sample dataset

description: Raw data for the Chaffin Pond diatom surface sample dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.21233/6yvr-1s97
title: Chaffin Pond diatom surface sample dataset

description: Raw data for the Chaffin Pond diatom surface sample dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.21233/cgfg-gr81
title: Es Grau pollen dataset

description: Raw data for the Es Grau pollen dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.21233/wwg9-f347
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/w7yp-2q69
title: Bayandai boggy testate amoebae surface sample dataset

description: Raw data for the Bayandai boggy testate amoebae surface sample dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.21233/jxse-7p65
title: Hollumerduinen pollen dataset

description: Raw data for the Hollumerduinen pollen dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.21233/qw22-hg67
title: Zhuanglin testate amoebae surface sample dataset

description: Raw data for the Zhuanglin testate amoebae surface sample dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.21233/cb89-8x31
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: 10.21233/q0fm-7141
title: Sloans Lake diatom surface sample dataset

description: Raw data for the Sloans Lake diatom surface sample dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.25345/c5pv6bb3p
title: MassIVE MSV000089114 - Untargeted_Sept_Nov_Carnitine_Study
title: 4-week-old male mice were infected with 50,000 CL+luc parasites or remained uninfected. Urine was collected pre-infection and 4 days after infection. 7 days post infection, mice were treated with 0.06% carnitine in drinking water ad libitum or with benznidazole 100 mg/kg ip for 10 days. 17 days post infection, urine was collected and euthanized. Metabolites were extracted from urine in methanol and untargeted LCMS analysis ran on a Q Exactive plus instrument using a Phenomenex Luna Omega Polar C18 column.
DOI: 10.21233/pt7v-4c02
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/jy0e-h325
title: Bakchar mire testate amoebae surface sample dataset

description: Raw data for the Bakchar mire testate amoebae surface sample dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.5519/qd.qk3sojzd
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (4995 records)
DOI: 10.26180/21023854.v3
title: R code and data from Farquhar et al. Journal of Biogeography. Using crowdsourced photographic records to explore geographical variation in colour polymorphism of an Australian varanid

description: These files include the environmental variables, occurrence data and the R script of the analysis used for the paper: Farquhar et al. Journal of Biogeography. Using crowdsourced photographic records to explore geographical variation in colour polymorphism of an Australian varanid.
DOI: 10.26180/21023854
title: R code and data from Farquhar et al. Journal of Biogeography. Using crowdsourced photographic records to explore geographical variation in colour polymorphism of an Australian varanid

description: These files include the environmental variables, occurrence data and the R script of the analysis used for the paper: Farquhar et al. Journal of Biogeography. Using crowdsourced photographic records to explore geographical variation in colour polymorphism of an Australian varanid.
DOI: 10.26180/21023854.v2
title: R code and data from Farquhar et al. Journal of Biogeography. Using crowdsourced photographic records to explore geographical variation in colour polymorphism of an Australian varanid

description: These files include the environmental variables, occurrence data and the R script of the analysis used for the paper: Farquhar et al. Journal of Biogeography. Using crowdsourced photographic records to explore geographical variation in colour polymorphism of an Australian varanid.