cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.9901373.v1
title: Circulating versus Lipopolysaccharide-Induced Inflammatory Markers as Correlates of Subthreshold Depressive Symptoms in Older Adults

description: <b>Objective:</b> Circulating cytokines have been associated with depression, but their detection has limitations, which may be overcome by direct detection of intracellular cytokines (ICCs) after lipopolysaccharide (LPS) stimulation <i>in vitro</i>. This study compared circulating versus LPS-induced inflammatory markers as correlates of subthreshold depressive symptoms. <b>Methods:</b> Secondary data analysis of a cross-sectional insomnia study in healthy community-dwelling older adults was conducted. In 117 participants (≥55 years), plasma tumour necrosis factor-α (TNF-α), interleukin-6 (IL-6), C-reactive protein (CRP), and <i>in vitro</i> LPS-induced monocyte production of IL-6 and TNF-α were assayed. Depressive symptoms were assessed using the clinician-rated Inventory of Depressive Symptomatology (IDS-C). Multivariate linear regression was conducted to test the associations between inflammatory markers and subthreshold depressive symptoms in the entire sample as well as in subgroups stratified into higher and lower inflammation levels. <b>Results:</b> LPS-induced TNF-α (adjusted β = 0.28, p = 0.04), IL-6 (0.29, p = 0.03), and TNF-α + IL-6 (0.43, p = 0.001) significantly positively correlated with subthreshold depressive symptoms only in higher inflammation subgroups. No circulating biomarkers positively correlated in any subgroups. In the entire sample, no biomarkers were significantly associated with subthreshold depressive symptoms. <b>Conclusion:</b> LPS-induced cytokines may be more sensitive correlates of subthreshold depressive symptoms than circulating cytokines, particularly in older adults with higher systemic inflammation. <b>Clinical Trials Registry:</b> ClinicalTrials.gov NCT00280020.
DOI: 10.21233/hgw1-8c70
title: Lanser Moor pollen dataset

description: Raw data for the Lanser Moor pollen dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.21233/qff0-q702
title: Wahl 2002 Surface Sample Site 17 pollen surface sample dataset

description: Raw data for the Wahl 2002 Surface Sample Site 17 pollen surface sample dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.5281/zenodo.5750606
title: Weather dataset (Typical Downscaled Year, Extreme Cold Year, Extreme Warm Year) for building energy simulations (.epw format) in recent past climate, Antwerp Berchem, Belgium

description: Typical Downscaled Year (TDY), Extreme Cold Year and Extreme Warm Year based on the methodology of Nik (2016), is extracted for the location of Antwerp Berchem (51°12'00"N 4°26'24" E) from the EC-Earth driven convection-permitting climate model COSMO-CLM for the Belgian domain extended with land-surface scheme TERRA_URB(v2.0) making use of the SURY (Semi-empirical URban canopY) parameterization ( Wouters et al. 2016). The integrations are identical to the ones which are described in Vanden Broucke et al. (2019). The climate model has a spatial resolution of 2.8 km and an hourly temporal resolution and is available for the recent past (1976-2004) and future (2070-2098) as 30-year datasets. For this dataset, the TDY, ECY, and EWY are extracted for the recent past period. A bias correction is applied for the following variables: temperature (as described in Ramon et al. 2020), solar radiation and relative humidity as described in Ramon et al. (202X).
description: This work was supported by Research Foundation Flanders (FWO) [1S97418N] and is part of the Ph.D. research 'Towards future-proof buildings in Flanders: Climate and Life Cycle modelling for resilient office buildings'. The climate model data used is the result of the CORDEX.be project funded by the Belgian federal government (Belgian Science Policy Office project BR/143/A2/CORDEX.be) and can be requested via nicole.vanlipzig@kuleuven.be. Computational resources for these integrations were provided by the VSC (Flemish Supercomputer Centre), funded by the Research Foundation – Flanders (FWO) and the Flemish Government - department EWI. The hourly observational data for the bias correction were provided by RMI (Belgian Royal Meteorological Institute).
description: {"references": ["Ramon, D., Allacker, K., De Troyer, F., Wouters, H., & van Lipzig, N. P. (2020). Future heating and cooling degree days for Belgium under a high-end climate change scenario. Energy and Buildings, 216, 109935.", "Nik, V. M. (2016). Making energy simulation easier for future climate\u2013Synthesizing typical and extreme weather data sets out of regional climate models (RCMs). Applied Energy, 177, 204-226.", "H. Wouters, M. Demuzere, U. Blahak, K. Fortuniak, B. Maiheu, J. Camps, D. Tielemans, N.P.M. Van Lipzig, The efficient urban canopy dependency parametrization (SURY) v1.0 for atmospheric modelling: Description and application with the COSMO-CLM model for a Belgian summer, Geosci. Model Dev. 9 (2016) 3027\u20133054. doi:10.5194/gmd-9-3027-2016.", "S. Vanden Broucke, H. Wouters, M. Demuzere, N.P.M. van Lipzig, The influence of convection-permitting regional climate modeling on future projections of extreme precipitation: dependency on topography and timescale, Clim. Dyn. (2019). doi:10.1007/s00382-018-4454-2.", "Ramon, D., Allacker K. (202X) Integrated assessment method for climate resilient buildings: framework and application on a Flemish office building. In preparation."]}
DOI: 10.5281/zenodo.5750605
title: Weather dataset (Typical Downscaled Year, Extreme Cold Year, Extreme Warm Year) for building energy simulations (.epw format) in recent past climate, Antwerp Berchem, Belgium

description: Typical Downscaled Year (TDY), Extreme Cold Year and Extreme Warm Year based on the methodology of Nik (2016), is extracted for the location of Antwerp Berchem (51°12'00"N 4°26'24" E) from the EC-Earth driven convection-permitting climate model COSMO-CLM for the Belgian domain extended with land-surface scheme TERRA_URB(v2.0) making use of the SURY (Semi-empirical URban canopY) parameterization ( Wouters et al. 2016). The integrations are identical to the ones which are described in Vanden Broucke et al. (2019). The climate model has a spatial resolution of 2.8 km and an hourly temporal resolution and is available for the recent past (1976-2004) and future (2070-2098) as 30-year datasets. For this dataset, the TDY, ECY, and EWY are extracted for the recent past period. A bias correction is applied for the following variables: temperature (as described in Ramon et al. 2020), solar radiation and relative humidity as described in Ramon et al. (202X).
description: This work was supported by Research Foundation Flanders (FWO) [1S97418N] and is part of the Ph.D. research 'Towards future-proof buildings in Flanders: Climate and Life Cycle modelling for resilient office buildings'. The climate model data used is the result of the CORDEX.be project funded by the Belgian federal government (Belgian Science Policy Office project BR/143/A2/CORDEX.be) and can be requested via nicole.vanlipzig@kuleuven.be. Computational resources for these integrations were provided by the VSC (Flemish Supercomputer Centre), funded by the Research Foundation – Flanders (FWO) and the Flemish Government - department EWI. The hourly observational data for the bias correction were provided by RMI (Belgian Royal Meteorological Institute).
description: {"references": ["Ramon, D., Allacker, K., De Troyer, F., Wouters, H., & van Lipzig, N. P. (2020). Future heating and cooling degree days for Belgium under a high-end climate change scenario. Energy and Buildings, 216, 109935.", "Nik, V. M. (2016). Making energy simulation easier for future climate\u2013Synthesizing typical and extreme weather data sets out of regional climate models (RCMs). Applied Energy, 177, 204-226.", "H. Wouters, M. Demuzere, U. Blahak, K. Fortuniak, B. Maiheu, J. Camps, D. Tielemans, N.P.M. Van Lipzig, The efficient urban canopy dependency parametrization (SURY) v1.0 for atmospheric modelling: Description and application with the COSMO-CLM model for a Belgian summer, Geosci. Model Dev. 9 (2016) 3027\u20133054. doi:10.5194/gmd-9-3027-2016.", "S. Vanden Broucke, H. Wouters, M. Demuzere, N.P.M. van Lipzig, The influence of convection-permitting regional climate modeling on future projections of extreme precipitation: dependency on topography and timescale, Clim. Dyn. (2019). doi:10.1007/s00382-018-4454-2.", "Ramon, D., Allacker K. (202X) Integrated assessment method for climate resilient buildings: framework and application on a Flemish office building. In preparation."]}
DOI: 10.21233/h71q-n691
title: Henderson Peatland A testate amoebae surface sample dataset

description: Raw data for the Henderson Peatland A testate amoebae surface sample dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.21233/dbv5-q164
title: Lago Grande di Monticchio pollen dataset

description: Raw data for the Lago Grande di Monticchio pollen dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.21233/jmt2-g748
title: Berkmortel [AfHi-32] vertebrate fauna dataset

description: Raw data for the Berkmortel [AfHi-32] vertebrate fauna dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.21233/cve2-hx46
title: Kelowna [DlQv-VP] vertebrate fauna dataset

description: Raw data for the Kelowna [DlQv-VP] vertebrate fauna dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.21233/ha6z-d379
title: Dougall [BdGu-2] vertebrate fauna dataset

description: Raw data for the Dougall [BdGu-2] vertebrate fauna dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.21233/pway-1a33
title: Lake Tahoe pollen dataset

description: Raw data for the Lake Tahoe pollen dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.21233/837v-gv08
title: Old Crow Basin Locality CRH-87 [NaVl-7] vertebrate fauna dataset

description: Raw data for the Old Crow Basin Locality CRH-87 [NaVl-7] vertebrate fauna dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.25721/dd5y-tj77
title: Information sur Monsieur Martin Cayla. Récit de vie
DOI: 10.21233/6nf0-6281
title: Afton Local Fauna vertebrate fauna dataset

description: Raw data for the Afton Local Fauna vertebrate fauna dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.6084/m9.figshare.17153039.v1
title: seqFish toy dataset of mouse gastrulation

description: Highly multiplexed spatially resolved gene expression profiling of mouse organogenesis (aka spatial mouse gastrulation atlas): embryo3
DOI: 10.6084/m9.figshare.17153039
title: seqFish toy dataset of mouse gastrulation

description: Highly multiplexed spatially resolved gene expression profiling of mouse organogenesis (aka spatial mouse gastrulation atlas): embryo3
DOI: 10.21233/h620-1880
title: Hual Cu Cuish Meadow pollen surface sample dataset

description: Raw data for the Hual Cu Cuish Meadow pollen surface sample dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.21233/r2pg-0257
title: Haleakalā Volcano 13P pollen surface sample dataset

description: Raw data for the Haleakalā Volcano 13P pollen surface sample dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.21233/cfry-ta18
title: Haleakalā Volcano 6N pollen surface sample dataset

description: Raw data for the Haleakalā Volcano 6N pollen surface sample dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.5066/p94ms41x
title: Soil family particle size class map for Colorado River Basin above Lake Mead

description: These data were compiled to support analysis of remote sensing data using the Disturbance Automated Reference Toolset (Nauman et al., 2017). The objective of our study was to assess results of pinyon and juniper land treatments. These data represent major soil types as defined primarily by soil texture and depth, but also geology, parent material, and geomorphology for relevant features that distinguish major ecological land units. These data were created from field soil descriptions collected in the upper Colorado River watershed mostly since 2000, but include some older data catalogued in USDS Natural Resources Conservation Service (NRCS) databases. These soils data used in model training were collected by NRCS soil scientists. Travis Nauman compiled these data as a training set to build an interpolative raster soil map following methods in digital soil mapping studies. These data can be used to identify probable areas with different soil types recognized to distinguish ecological communities. Soils are grouped into classes based on the taxonomic family particle size class used in US Soil Taxonomy, but also include slight class modifications to make them more ecologically relevant. These classes have been shown to be very closely related to the distribution of ecological sites, a land classification used by several land management agencies.
DOI: 10.21233/2696-ef67
title: Haleakalā Volcano 7G pollen surface sample dataset

description: Raw data for the Haleakalā Volcano 7G pollen surface sample dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.21233/jjm7-n916
title: Haleakalā Volcano 8K pollen surface sample dataset

description: Raw data for the Haleakalā Volcano 8K pollen surface sample dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.21233/15te-8128
title: Boyd Lakefront [AdHc-1] vertebrate fauna dataset

description: Raw data for the Boyd Lakefront [AdHc-1] vertebrate fauna dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.21233/mmyh-pt26
title: Adams Trail Peatland testate amoebae surface sample dataset

description: Raw data for the Adams Trail Peatland testate amoebae surface sample dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.21233/jtee-mb56
title: Adams Trail Peatland testate amoebae surface sample dataset

description: Raw data for the Adams Trail Peatland testate amoebae surface sample dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.21233/z30p-rc49
title: Alfred Bog testate amoebae surface sample dataset

description: Raw data for the Alfred Bog testate amoebae surface sample dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.6073/pasta/fe143a5a9078193f9fd6c4589c7b44e1
title: Jornada Basin LTER Cross-scale Interactions Study (CSIS) Block 13 meteorological station: 5-minute summary wind and air temperature data: 2013 - ongoing

description: This data package contains 5-minute air temperature and wind summary data from Jornada Basin LTER Cross Scale Interactions Study (CSIS) Block-13 met station. Average air temperature, wind speed, and wind direction are measured and calculated at an automated meteorological station connected to a 900 MHz spread spectrum wireless network. Wind speed is measured at 37cm, 75 cm, 150 cm, and 300 cm, wind direction at approximately 3m, and air temperature and relative humidity at approximate 2.5m. This is a subset of baseline weather data collected at the 15 Jornada Basin LTER CSIS study blocks, New Mexico. Measurements are aggregated at intervals of 5, 30, 60 minutes and daily, with precipitation additionally provided with 1 second aggregation during precipitation events. The met station variables measured include air temperature, precipitation, relative humidity, wind direction, wind speed. Precipitation is not measured at Block 1 and Block 12 because of proximity to Block 2 and Block 13, respectively . This is an ONGOING dataset.
DOI: 10.25721/g78x-0846
title: Chant "Sous le pont de la cadène"
DOI: 10.21233/vqe8-t302
title: Burnt Village testate amoebae surface sample dataset

description: Raw data for the Burnt Village testate amoebae surface sample dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.21233/xqby-pm16
title: Collin Bog testate amoebae surface sample dataset

description: Raw data for the Collin Bog testate amoebae surface sample dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.21233/9223-nn84
title: Crooked testate amoebae surface sample dataset

description: Raw data for the Crooked testate amoebae surface sample dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.25810/k55w-7a04.44
title: World Radio Coverage of Climate Change or Global Warming, 2000-2021 - November 2021

description:         The Media and Climate Change Observatory Data monitors 127 sources (across newspapers, radio and TV) in 59 countries in seven different regions around the world. Data is assembled by accessing archives through the Lexis Nexis, Proquest and Factiva databases via the University of Colorado libraries. More information may be found at: http://mecco.colorado.edu.
DOI: 10.6073/pasta/d9e6b59d78bd63770a3c18e92cd6fb80
title: Jornada Basin LTER Cross-scale Interactions Study (CSIS) Block 13 meteorological station: 1-hour summary data: 2017 - ongoing

description: This data package contains hourly air temperature, relative humidity, wind speed, wind direction, and precipitation summary data from Jornada Basin LTER Cross Scale Interactions Study (CSIS) Block-13 met station. Air temperature, relative humidity, wind speed, wind direction, and precipitation are measured and calculated at an automated meteorological station connected to a 900 MHz spread spectrum wireless network. Wind speed is measured at 37cm, 75 cm, 150 cm, and 300 cm, wind direction at approximately 3m, and air temperature and relative humidity at approximate 2.5m. Measurements are aggregated at intervals of 5, 30, 60 minutes and daily, with precipitation additionally provided with 1 second aggregation during precipitation events. Precipitation is not measured at Block 1 and Block 12 because of proximity to Block 2 and Block 13, respectively . This is an ONGOING dataset.
DOI: 10.21233/8t0m-hk84
title: Grand Traverse Bay testate amoebae surface sample dataset

description: Raw data for the Grand Traverse Bay testate amoebae surface sample dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.21233/d695-m249
title: Grand Traverse Bay testate amoebae surface sample dataset

description: Raw data for the Grand Traverse Bay testate amoebae surface sample dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.21233/vp87-gs73
title: Grand Traverse Bay testate amoebae surface sample dataset

description: Raw data for the Grand Traverse Bay testate amoebae surface sample dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.21233/ss1x-4m45
title: Hole Bog testate amoebae surface sample dataset

description: Raw data for the Hole Bog testate amoebae surface sample dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.21233/tzxy-6191
title: Hornet Peatland testate amoebae surface sample dataset

description: Raw data for the Hornet Peatland testate amoebae surface sample dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.21233/8bbm-fa03
title: Island Camp Peatland testate amoebae surface sample dataset

description: Raw data for the Island Camp Peatland testate amoebae surface sample dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.21233/0sye-zk41
title: LDDsite12 ostracode surface sample dataset

description: Raw data for the LDDsite12 ostracode surface sample dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.21233/kdxc-2n24
title: Kentucky Trail Peatland testate amoebae surface sample dataset

description: Raw data for the Kentucky Trail Peatland testate amoebae surface sample dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.21233/v37v-aq31
title: Keystone Iron Fen testate amoebae surface sample dataset

description: Raw data for the Keystone Iron Fen testate amoebae surface sample dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.21233/094v-dv75
title: Lilypad Peatland testate amoebae surface sample dataset

description: Raw data for the Lilypad Peatland testate amoebae surface sample dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.21233/7xe4-wf97
title: Little Moose Lake Peatland testate amoebae surface sample dataset

description: Raw data for the Little Moose Lake Peatland testate amoebae surface sample dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.21233/sj3q-7635
title: Manic testate amoebae surface sample dataset

description: Raw data for the Manic testate amoebae surface sample dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.25721/fkdc-6938
title: Bourrée "Montavi la marmita"
DOI: 10.21233/4778-fj09
title: Minden Bog testate amoebae surface sample dataset

description: Raw data for the Minden Bog testate amoebae surface sample dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.21233/ecqh-5011
title: Babine Lake [GgSn-VP] vertebrate fauna dataset

description: Raw data for the Babine Lake [GgSn-VP] vertebrate fauna dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.21233/5an9-kk71
title: Minden Bog testate amoebae surface sample dataset

description: Raw data for the Minden Bog testate amoebae surface sample dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.21233/wzcz-jg57
title: Lago Grande di Monticchio pollen dataset

description: Raw data for the Lago Grande di Monticchio pollen dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.21233/h7gx-j817
title: Mirabel Bog testate amoebae surface sample dataset

description: Raw data for the Mirabel Bog testate amoebae surface sample dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.21233/e23m-ve60
title: Mirabel Bog testate amoebae surface sample dataset

description: Raw data for the Mirabel Bog testate amoebae surface sample dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.21233/4p53-1x06
title: Mirabel Bog testate amoebae surface sample dataset

description: Raw data for the Mirabel Bog testate amoebae surface sample dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.21233/kdgc-ht98
title: No Name Creek testate amoebae surface sample dataset

description: Raw data for the No Name Creek testate amoebae surface sample dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.21233/agam-3w96
title: North Rhody Peatland testate amoebae surface sample dataset

description: Raw data for the North Rhody Peatland testate amoebae surface sample dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.21233/de8z-ff57
title: North Rhody Peatland testate amoebae surface sample dataset

description: Raw data for the North Rhody Peatland testate amoebae surface sample dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.21233/a604-0469
title: Orono Bog testate amoebae surface sample dataset

description: Raw data for the Orono Bog testate amoebae surface sample dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.21233/gx74-b286
title: Orono Bog testate amoebae surface sample dataset

description: Raw data for the Orono Bog testate amoebae surface sample dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.21233/gs1p-hm71
title: Petite Bog testate amoebae surface sample dataset

description: Raw data for the Petite Bog testate amoebae surface sample dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.21233/2ac9-v020
title: Petite Bog testate amoebae surface sample dataset

description: Raw data for the Petite Bog testate amoebae surface sample dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.21233/cp5y-nj98
title: Petite Bog testate amoebae surface sample dataset

description: Raw data for the Petite Bog testate amoebae surface sample dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.25810/c862-0e81.44
title: US Television Coverage of Climate Change or Global Warming, 2000-2021 - November 2021

description:         The Media and Climate Change Observatory Data monitors 127 sources (across newspapers, radio and TV) in 59 countries in seven different regions around the world. Data is assembled by accessing archives through the Lexis Nexis, Proquest and Factiva databases via the University of Colorado libraries. More information may be found at: http://mecco.colorado.edu.