cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.5829346
title: Water, sanitation and the risk of chronic conditions in old age: Results from the Ghana WHO SAGE 2

description: Water and sanitation have been related to the health of populations, yet, the effects of these factors on the occurrence of chronic conditions (CC) in later life have been least explored. This study examines the association of CC with water and sanitation among older Ghanaians and whether the associations are moderated by gender and residence. Data from the WHO-SAGE Wave 2 comprising of 4735 adults aged ≥ 50 years were analyzed in this study. The primary outcome was CC and the exposures included sources of water, sanitation facilities, and the sharing of sanitation facilities. Generalized logistic regression models estimated the effects of water and sanitation indicators on the occurrence of CC. Overall, 18.8% of the sample reported at least one CC. Compared to men and rural residents, women and urban residents respectively were more likely to report CC (<em>p </em>&lt; 0.001). After full adjustments, logistic regressions showed that the use of unimproved sanitation (OR = 1.732, CI: 1.377–5.418) and sharing of sanitation facilities (OR = 1.624, CI: 1.095–1.320) were associated with higher odds of CC. However, the use of water did not reach significance (<em>p</em> = 0.125). We found a significant interaction effect for type of toilet <strong>×</strong> gender (OR = 3.498, CI: 1.744–16.442), source of water <strong>×</strong> residence (OR = 5.935, CI: 1.320–26.685), and type of toilet <strong>× </strong>residence (OR = 1.998, CI: 1.462–8.642). The use of unimproved sanitation facilities and the sharing of sanitation facilities are associated with the occurrence of CC among older people. Policy and public health interventions targeted at improving the health and well-being of older people should conspicuously include improving access to sanitation services.
DOI: 10.5281/zenodo.5829345
title: Water, sanitation and the risk of chronic conditions in old age: Results from the Ghana WHO SAGE 2

description: Water and sanitation have been related to the health of populations, yet, the effects of these factors on the occurrence of chronic conditions (CC) in later life have been least explored. This study examines the association of CC with water and sanitation among older Ghanaians and whether the associations are moderated by gender and residence. Data from the WHO-SAGE Wave 2 comprising of 4735 adults aged ≥ 50 years were analyzed in this study. The primary outcome was CC and the exposures included sources of water, sanitation facilities, and the sharing of sanitation facilities. Generalized logistic regression models estimated the effects of water and sanitation indicators on the occurrence of CC. Overall, 18.8% of the sample reported at least one CC. Compared to men and rural residents, women and urban residents respectively were more likely to report CC (<em>p </em>&lt; 0.001). After full adjustments, logistic regressions showed that the use of unimproved sanitation (OR = 1.732, CI: 1.377–5.418) and sharing of sanitation facilities (OR = 1.624, CI: 1.095–1.320) were associated with higher odds of CC. However, the use of water did not reach significance (<em>p</em> = 0.125). We found a significant interaction effect for type of toilet <strong>×</strong> gender (OR = 3.498, CI: 1.744–16.442), source of water <strong>×</strong> residence (OR = 5.935, CI: 1.320–26.685), and type of toilet <strong>× </strong>residence (OR = 1.998, CI: 1.462–8.642). The use of unimproved sanitation facilities and the sharing of sanitation facilities are associated with the occurrence of CC among older people. Policy and public health interventions targeted at improving the health and well-being of older people should conspicuously include improving access to sanitation services.
DOI: 10.6073/pasta/83520d21766657a7b6d3c600836e958c
title: Interior Alaska managed sites: soil organic layer depth and thaw depth measured one time in either summer 2012 or 2013

description: This dataset contains estimates of soil organic layer depth and thaw depth along transects measured at a suite of managed and unmanaged areas in interior Alaska in summers 2012 and 2013.
DOI: 10.6073/pasta/1019c036d3f02e32ae880605b2f11853
title: Interior Alaska managed sites:vegetation community composition and ground cover measured one time in either summer 2012 or 2013

description: This dataset contains number of hits by different vegetation types and ground cover measured using a pin flag using the point intercept method.
DOI: 10.6073/pasta/350b701beb4ac2ebd2ef3f29893e6ed5
title: Mycorrhizal colonization, age, and aboveground biomass (g) of Nothofagus pumilio seedlings harvested from Variable Retention treatments at Los Cerros Ranch, Tierra del Fuego, Argentina.

description: This dataset contains data on Nothofagus pumilio seedlings sampled from a Variable Retention (VR) managed forest in Tierra del Fuego, Argentina seven years after harvesting. We evaluated the effects of a VR timber management system on the EMF community associated with N. pumilio seedlings. We quantified the abundance, composition, and diversity of EMF across aggregate (AR) and dispersed retention (DR) sites within a VR managed area and compared them to primary forest (PF) stands. EMF assemblage and taxonomic identities were determined by ITS-rDNA sequencing of individual root tips sampled from 280 seedlings across three landscape replicates of each VR treatment. To better understand seedling performance, we tested the relationships between fungal colonization, fungal taxonomic composition, seedling biomass, and VR treatment across our study sites. This data was collected as a comparative component to a larger project understanding the effect of mycorrizhae on seedling success after various disturbances such as logging and fire that was ongoing at the Bonanza Creek LTER and other arctic locations.
DOI: 10.6073/pasta/df801ec9b7f3493b6eb3bf191124e41f
title: Ectomycorrhizal community composition associated with Nothofagus pumilio seedlings harvested from Variable Retention treatments at Los Cerros Ranch, Tierra del Fuego, Argentina.

description: This dataset contains data on Nothofagus pumilio seedlings sampled from a Variable Retention (VR) managed forest in Tierra del Fuego, Argentina seven years after harvesting. We evaluated the effects of a VR timber management system on the EMF community associated with N. pumilio seedlings. We quantified the abundance, composition, and diversity of EMF across aggregate (AR) and dispersed retention (DR) sites within a VR managed area and compared them to primary forest (PF) stands. EMF assemblage and taxonomic identities were determined by ITS-rDNA sequencing of individual root tips sampled from 280 seedlings across three landscape replicates of each VR treatment. To better understand seedling performance, we tested the relationships between fungal colonization, fungal taxonomic composition, seedling biomass, and VR treatment across our study sites. This data was collected as a comparative component to a larger project understanding the effect of mycorrizhae on seedling success after various disturbances such as logging and fire that was ongoing at the Bonanza Creek LTER and other arctic locations.
DOI: 10.5281/zenodo.5834789
title: Brown adipose tissue PET-MR after fructose and glucose intervention

description: Includes the data and MATLAB functions used to produce the manuscript: "High-fructose feeding suppresses cold-stimulated brown adipose tissue glucose uptake in young men independently of changes in thermogenesis and the gut microbiome"
DOI: 10.5281/zenodo.5834788
title: Brown adipose tissue PET-MR after fructose and glucose intervention

description: Includes the data and MATLAB functions used to produce the manuscript: "High-fructose feeding suppresses cold-stimulated brown adipose tissue glucose uptake in young men independently of changes in thermogenesis and the gut microbiome"
DOI: 10.6084/m9.figshare.18130790
title: Water quality report, Lake Okoboji, 1970

description: Analysis of water in Little Miller's Bay in Lake Okoboji in 1970. Includes temperature, nutrients, secchi disc, plankton, invertebrates, macrophytes<br>
DOI: 10.6084/m9.figshare.18130799
title: Spider survey Milford Woods 1985

description: List of spider species trapped by Barbara Abraham at Milford Woods in Dickinson countyAugust 16, 1985<br>
DOI: 10.6084/m9.figshare.18130799.v1
title: Spider survey Milford Woods 1985

description: List of spider species trapped by Barbara Abraham at Milford Woods in Dickinson countyAugust 16, 1985<br>
DOI: 10.6084/m9.figshare.18130808
title: Plant species list of Milford Woods

description: A class developed species list of Milford Woods as part of a class (Plant Taxonomy) course at Iowa Lakeside Laboratory. Not meant to be comprehensive, but include the major species<br>
DOI: 10.6084/m9.figshare.18130808.v1
title: Plant species list of Milford Woods

description: A class developed species list of Milford Woods as part of a class (Plant Taxonomy) course at Iowa Lakeside Laboratory. Not meant to be comprehensive, but include the major species<br>
DOI: 10.6073/pasta/a84048bfa2552499fad8d80f313db008
title: Flux data from the Peat Collapse-Saltwater Intrusion Field Experiment within Everglades National Park, collected from October 2014 to September 2016

description: With sea level rise increasing, saltwater intrusion into low-lying coastal wetlands is likely to occur. We simulated saltwater intrusion into an Everglades marsh through monthly additions of elevated salinity water. Monthly ecosystem flux measurements were taken from a brackish water and freshwater marsh. Ecosystem flux was measured 24 hours after dosing. Measurements occurred from Oct 2014 - Sep 2016. Ecosystem flux measured includes gross ecosyetem production, ecosystem respiration of CO2, net ecosystem production, and ecosystem respiration of CH4. These data are published in Wilson, B.J., Servais, S., Mazzei, V., Davis, S.E., Kelly, S., Gaiser, E., Kominoski, J.S., Richards, J., Rudnick, D., Sklar, F., Stachelek, J., and Troxler, T.G. Salinity pulses interact with seasonal dry-down to increase ecosystem carbon loss in marshes of the Florida Everglades. Ecological Applications. Accepted.
DOI: 10.5281/zenodo.5831899
title: wbrolls2021-e

description: This deposit serves as a long-term archive for the unprocessed raw data behind the wbrolls2021 table in my comprehensive dataset on religion and politics in India, which is available at https://github.com/raphael-susewind/india-religion-politics/tree/master/wbrolls2021
DOI: 10.5281/zenodo.5831898
title: wbrolls2021-e

description: This deposit serves as a long-term archive for the unprocessed raw data behind the wbrolls2021 table in my comprehensive dataset on religion and politics in India, which is available at https://github.com/raphael-susewind/india-religion-politics/tree/master/wbrolls2021
DOI: 10.5519/qd.rkm1rp3n
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (42 records)
DOI: 10.6084/m9.figshare.14566719.v3
title: Planilha de Inventário

description: A Planilha de Inventário é utilizada para manter atualizado o controle e localização de todos os objetos sob guarda da instituição. Deve incluir objetos emprestados (entrada e saída), não incorporados, em depósito temporário e, especialmente, os que integram suas coleções. O procedimento de controle de inventário pode ser realizado diretamente em base de dados ou sistemas de gestão.<br>
DOI: 10.6084/m9.figshare.14566719.v2
title: Planilha de Inventário

description: A Planilha de Inventário é utilizada para manter atualizado o controle e localização de todos os objetos sob guarda da instituição. Deve incluir objetos emprestados (entrada e saída), não incorporados, em depósito temporário e, especialmente, os que integram suas coleções. O procedimento de controle de inventário pode ser realizado diretamente em base de dados ou sistemas de gestão.<br>
DOI: 10.6084/m9.figshare.17113672
title: Spectral Clustering on Spherical Coordinates Under the Degree-Corrected Stochastic Blockmodel

description: Spectral clustering is a popular method for community detection in network graphs: starting from a matrix representation of the graph, the nodes are clustered on a low-dimensional projection obtained from a truncated spectral decomposition of the matrix. Estimating correctly the number of communities and the dimension of the reduced latent space is critical for good performance of spectral clustering algorithms. Furthermore, many real-world graphs, such as enterprise computer networks studied in cyber-security applications, often display heterogeneous within-community degree distributions. Such heterogeneous degree distributions are usually not well captured by standard spectral clustering algorithms. In this article, a novel spectral clustering algorithm is proposed for community detection under the degree-corrected stochastic blockmodel. The proposed method is based on a transformation of the spectral embedding to spherical coordinates, and a novel modeling assumption in the transformed space. The method allows for simultaneous and automated selection of the number of communities and the latent dimension for spectral embeddings of graphs with uneven node degrees. Results show improved performance over competing methods in representing computer networks.
DOI: 10.6084/m9.figshare.17113672.v2
title: Spectral Clustering on Spherical Coordinates Under the Degree-Corrected Stochastic Blockmodel

description: Spectral clustering is a popular method for community detection in network graphs: starting from a matrix representation of the graph, the nodes are clustered on a low-dimensional projection obtained from a truncated spectral decomposition of the matrix. Estimating correctly the number of communities and the dimension of the reduced latent space is critical for good performance of spectral clustering algorithms. Furthermore, many real-world graphs, such as enterprise computer networks studied in cyber-security applications, often display heterogeneous within-community degree distributions. Such heterogeneous degree distributions are usually not well captured by standard spectral clustering algorithms. In this article, a novel spectral clustering algorithm is proposed for community detection under the degree-corrected stochastic blockmodel. The proposed method is based on a transformation of the spectral embedding to spherical coordinates, and a novel modeling assumption in the transformed space. The method allows for simultaneous and automated selection of the number of communities and the latent dimension for spectral embeddings of graphs with uneven node degrees. Results show improved performance over competing methods in representing computer networks.
DOI: 10.6084/m9.figshare.17113672.v1
title: Spectral clustering on spherical coordinates under the degree-corrected stochastic blockmodel

description: Spectral clustering is a popular method for community detection in network graphs: starting from a matrix representation of the graph, the nodes are clustered on a low dimensional projection obtained from a truncated spectral decomposition of the matrix. Estimating correctly the number of communities and the dimension of the reduced latent space is critical for good performance of spectral clustering algorithms. Furthermore, many real-world graphs, such as enterprise computer networks studied in cyber-security applications, often display heterogeneous within-community degree distributions. Such heterogeneous degree distributions are usually not well captured by standard spectral clustering algorithms. In this article, a novel spectral clustering algorithm is proposed for community detection under the degree-corrected stochastic blockmodel. The proposed method is based on a transformation of the spectral embedding to spherical coordinates, and a novel modelling assumption in the transformed space. The method allows for simultaneous and automated selection of the number of communities and the latent dimension for spectral embeddings of graphs with uneven node degrees. Results show improved performance over competing methods in representing computer networks.
DOI: 10.5281/zenodo.5832310
title: wbrolls2021-f

description: This deposit serves as a long-term archive for the unprocessed raw data behind the wbrolls2021 table in my comprehensive dataset on religion and politics in India, which is available at https://github.com/raphael-susewind/india-religion-politics/tree/master/wbrolls2021
DOI: 10.5281/zenodo.5832309
title: wbrolls2021-f

description: This deposit serves as a long-term archive for the unprocessed raw data behind the wbrolls2021 table in my comprehensive dataset on religion and politics in India, which is available at https://github.com/raphael-susewind/india-religion-politics/tree/master/wbrolls2021
DOI: 10.5281/zenodo.5834517
title: Sorex palustris decontaminated FSCR

description: .
DOI: 10.5281/zenodo.5834516
title: Sorex palustris decontaminated FSCR

description: .
DOI: 10.5281/zenodo.5834635
title: Stegophilus panzeri decontaminated FSCR

description: .
DOI: 10.5281/zenodo.5834634
title: Stegophilus panzeri decontaminated FSCR

description: .
DOI: 10.5281/zenodo.5834539
title: Muusoctopus leioderma decontaminated FSCR

description: .
DOI: 10.5281/zenodo.5834538
title: Muusoctopus leioderma decontaminated FSCR

description: .
DOI: 10.5281/zenodo.5834736
title: Catalog of low frequency earthquake beneath the Kaimanawa ranges, North Island of New Zealand

description: <strong>lfe_locations.csv</strong> contains the information relative to the 77 LFE candidates: 1. Template name: name 2. NonLinLoc location, error ellipsoid and uncertainties: lat, lon, depth, az1, dip1, len1, az2, dip2, len2, len3, rms, elat, elon, edepth 3. GrowClust location and uncertainties lat_gc, lon_gc, depth_gc, gc_errorh, gc_error_z <strong>detection.csv </strong>containes the information relative to the second-iteration catalog" 1. Template name: name 2. Detection time: time 3. Sum of the correlation coefficient at the detection time: cc_sum 4. Median Absolute Deviation at the detection time: mad
DOI: 10.6084/m9.figshare.3761562.v2100
title: Online Labour Index: Measuring the Online Gig Economy for Policy and Research

description: Data repository for the data underlying the Online Labour Index. See http://ilabour.oii.ox.ac.uk online-labour-index/ for details.
DOI: 10.5281/zenodo.5834761
title: WRF Output for 0.5 km Simulation of Spiral Gravity Waves

description: WRF Output for 0.5 km Simulation of Spiral Gravity Waves
DOI: 10.5281/zenodo.5834760
title: WRF Output for 0.5 km Simulation of Spiral Gravity Waves

description: WRF Output for 0.5 km Simulation of Spiral Gravity Waves
DOI: 10.5519/qd.6ieukbaf
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (8 records)
DOI: 10.5519/qd.1rju1wuj
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (7 records)
DOI: 10.5519/qd.rr0zixwi
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (354 records)
DOI: 10.6085/aa/iptpxx_xxxitv2xmsr01_20190410.40.2
title: (:unkn)
DOI: 10.5281/zenodo.5834365
title: wbrolls2021-j

description: This deposit serves as a long-term archive for the unprocessed raw data behind the wbrolls2021 table in my comprehensive dataset on religion and politics in India, which is available at https://github.com/raphael-susewind/india-religion-politics/tree/master/wbrolls2021
DOI: 10.5281/zenodo.5834364
title: wbrolls2021-j

description: This deposit serves as a long-term archive for the unprocessed raw data behind the wbrolls2021 table in my comprehensive dataset on religion and politics in India, which is available at https://github.com/raphael-susewind/india-religion-politics/tree/master/wbrolls2021
DOI: 10.6084/m9.figshare.14766102.v33
title: antspyt1w helper data

description: downloadable cloud data for testing and processing
DOI: 10.6073/pasta/dc199c9fd9c452337f01bcd9f0a89f50
title: Six decades (1959-2020) of water quality in the upper San Francisco Estuary: an integrated database of 11 discrete monitoring surveys in the Sacramento San Joaquin Delta, Suisun Bay, and Suisun Marsh

description: The upper San Francisco Estuary (SFE) is simultaneously a central hub of water delivery in California and home to commercially important and endangered fishes, such as Chinook Salmon, Green Sturgeon, and Delta and Longfin Smelt. Extensive ecological monitoring has been conducted for over 50 years, mainly under the auspices of the Interagency Ecological Program for the San Francisco Estuary (https://iep.ca.gov/). We integrated water quality data from 11 boat-based long-term monitoring surveys in the upper SFE. This integrated dataset includes measurements of temperature (surface and bottom), conductivity (surface), salinity (surface), Secchi depth, qualitative concentration of the toxic alga Microcystis (surface), and Chlorophyll-a concentration (surface) from 1959 - 2020. The component surveys range in sampling frequency from thrice weekly to monthly and range in duration from 5 – 60 years. Most component surveys sample at fixed stations, but the Enhanced Delta Smelt Monitoring survey uses random sites and some stations (with “EZ” in the station name) of the Environmental Monitoring Program follow the salinity field. It is highly recommended to inspect the documentation of the component surveys for more information on their methods.
DOI: 10.5281/zenodo.5834578
title: Data for "Phenotypic responses to climate change are significantly dampened in big-brained birds"

description: Anthropogenic climate change is rapidly altering local environments and threatening biodiversity throughout the world. Although many wildlife responses to this phenomenon appear largely idiosyncratic, a wealth of basic research on this topic is enabling the identification of general patterns across taxa. Here we expand those efforts by investigating how avian responses to climate change are affected by the ability to cope with ecological variation through behavioral flexibility (as measured by relative brain size). After accounting for the effects of phylogenetic uncertainty and interspecific variation in adaptive potential, we confirm that although climate warming is generally correlated with major body size reductions in North American migrants, these responses are significantly weaker in species with larger relative brain sizes. Our findings suggest that cognition can play an important role in organismal responses to global change by actively buffering individuals from the environmental effects of warming temperatures.
DOI: 10.5281/zenodo.5834577
title: Data for "Phenotypic responses to climate change are significantly dampened in big-brained birds"

description: Anthropogenic climate change is rapidly altering local environments and threatening biodiversity throughout the world. Although many wildlife responses to this phenomenon appear largely idiosyncratic, a wealth of basic research on this topic is enabling the identification of general patterns across taxa. Here we expand those efforts by investigating how avian responses to climate change are affected by the ability to cope with ecological variation through behavioral flexibility (as measured by relative brain size). After accounting for the effects of phylogenetic uncertainty and interspecific variation in adaptive potential, we confirm that although climate warming is generally correlated with major body size reductions in North American migrants, these responses are significantly weaker in species with larger relative brain sizes. Our findings suggest that cognition can play an important role in organismal responses to global change by actively buffering individuals from the environmental effects of warming temperatures.
DOI: 10.5281/zenodo.5834367
title: wbrolls2021-k

description: This deposit serves as a long-term archive for the unprocessed raw data behind the wbrolls2021 table in my comprehensive dataset on religion and politics in India, which is available at https://github.com/raphael-susewind/india-religion-politics/tree/master/wbrolls2021