cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.21233/hwsy-jp18
title: Point Lena testate amoebae surface sample dataset

description: Raw data for the Point Lena testate amoebae surface sample dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.21233/me17-mx80
title: Richardson 153 testate amoebae surface sample dataset

description: Raw data for the Richardson 153 testate amoebae surface sample dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.21233/871s-qb88
title: Robinson Peatland testate amoebae surface sample dataset

description: Raw data for the Robinson Peatland testate amoebae surface sample dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.21233/cq1c-kb83
title: Small Sarracennia Peatland testate amoebae surface sample dataset

description: Raw data for the Small Sarracennia Peatland testate amoebae surface sample dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.21233/rjbn-bg80
title: South Rhody peatland testate amoebae surface sample dataset

description: Raw data for the South Rhody peatland testate amoebae surface sample dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.21233/hh4w-vq91
title: South Rhody peatland testate amoebae surface sample dataset

description: Raw data for the South Rhody peatland testate amoebae surface sample dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.21233/fe5b-4950
title: South Rhody peatland testate amoebae surface sample dataset

description: Raw data for the South Rhody peatland testate amoebae surface sample dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.6073/pasta/eec9043365b14e1c233d48563a87cb0d
title: Jornada Basin LTER Cross-scale Interactions Study (CSIS) Block 13 meteorological station: 30-minute soil volumetric water content data: 2013 - ongoing

description: 30-minute Soil Moisture data at 10 cm at CSIS Block-13. Collection of soil volumetric water content data at Jornada LTER Cross-scale Interactions Study (CSIS) blocks, New Mexico, supports the environmental monitoring objectives of the Jornada LTER monitoring program that look at plant-soil water dynamics. Soil volumetric water content is measured at 10 cm depth at 3 locations at each of the 4 plots per block. The locations in each plot are under bare soil, under perennial grass, and under shrub. Volumetric water content, bulk electrical conductivity, soil temperature, and bulk dielectric permittivity are recorded every 30 minutes at an automated meteorological station installed at Jornada LTER CSIS Block-13 site. This is an ONGOING dataset.
DOI: 10.21233/345k-a447
title: South Rhody peatland testate amoebae surface sample dataset

description: Raw data for the South Rhody peatland testate amoebae surface sample dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.21233/7kh9-cn80
title: Splains Lake testate amoebae surface sample dataset

description: Raw data for the Splains Lake testate amoebae surface sample dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.21233/n2gx-vb34
title: Tahquamenon Bay testate amoebae surface sample dataset

description: Raw data for the Tahquamenon Bay testate amoebae surface sample dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.21233/3xkd-3166
title: Tahquamenon Bay testate amoebae surface sample dataset

description: Raw data for the Tahquamenon Bay testate amoebae surface sample dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.21233/cg8s-c447
title: Tahquamenon Bay testate amoebae surface sample dataset

description: Raw data for the Tahquamenon Bay testate amoebae surface sample dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.21233/bra6-wg56
title: Tahquamenon Bay testate amoebae surface sample dataset

description: Raw data for the Tahquamenon Bay testate amoebae surface sample dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.21233/m1x7-xg31
title: Titus Peatland testate amoebae surface sample dataset

description: Raw data for the Titus Peatland testate amoebae surface sample dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.21233/xhzr-rc68
title: Toivola Bog A testate amoebae surface sample dataset

description: Raw data for the Toivola Bog A testate amoebae surface sample dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.5281/zenodo.5770495
title: Weather dataset (Typical Downscaled Year, Extreme Cold Year, Extreme Warm Year) for building energy simulations (.epw format) in recent past climate, Uccle KMI, 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 Uccle KMI (50°47'49"N 4°21'29" 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.5770494
title: Weather dataset (Typical Downscaled Year, Extreme Cold Year, Extreme Warm Year) for building energy simulations (.epw format) in recent past climate, Uccle KMI, 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 Uccle KMI (50°47'49"N 4°21'29" 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/bn7n-9845
title: Bicentennial Park testate amoebae surface sample dataset

description: Raw data for the Bicentennial Park testate amoebae surface sample dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.6073/pasta/f978d61be24529fd2f24f38c2fafcf3a
title: Jornada Basin LTER Cross-scale Interactions Study (CSIS) Block 13 meteorological station: Daily average soil volumetric water content data: 2013 - ongoing

description: Daily Average of 30-minute Soil Volumetric Water Content data at 10 cm at CSIS Block-13. Collection of soil water content data at Jornada LTER Cross-scale Interactions Study (CSIS) blocks, New Mexico, supports the environmental monitoring objectives of the Jornada LTER monitoring program that look at plant-soil water dynamics. Soil volumetric water content is measured every 30 minutes at 10 cm depth at 3 locations at each of the 4 plots per block and averaged for the daily value. The locations in each plot are under bare soil, under perennial grass, and under shrub. Volumetric water content, bulk electrical conductivity, soil temperature, and bulk dielectric permittivity are recorded at an automated meteorological station installed at Jornada LTER CSIS Block-13 site. This is an ONGOING dataset.
DOI: 10.21233/h567-m484
title: Jigsaw Lake testate amoebae surface sample dataset

description: Raw data for the Jigsaw Lake testate amoebae surface sample dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.21233/p52w-zr36
title: Kachemak testate amoebae surface sample dataset

description: Raw data for the Kachemak testate amoebae surface sample dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.21233/39pn-vy05
title: LDDsite28 water chemistry dataset

description: Raw data for the LDDsite28 water chemistry dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.26106/qaky-2s29
title: Psychoterapia grupowa online : proces grupowy i efektywność : badania wstępne - concept
DOI: 10.6073/pasta/986c6ae35f7e2beed0327d616c79be87
title: Jornada Basin LTER Cross-scale Interactions Study (CSIS) Block 13 meteorological station: Daily summary data: 2013 - 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. 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: 10.21233/ckh5-ac07
title: Attawapiskat River 1 testate amoebae surface sample dataset

description: Raw data for the Attawapiskat River 1 testate amoebae surface sample dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.6073/pasta/fe56f209cc299312a71e2591b1fd8979
title: Jornada Basin LTER Cross-scale Interactions Study (CSIS) Block 13 meteorological station: 1-second summary precipitation data: 2017 - ongoing

description: 1-second summary precipitation data at CSIS Block-13 met station. Total precipitation per second is recorded only if there is measurable precipitation. This is recorded at an automated meteorological station installed at Jornada LTER CSIS Block-13 site.. This climate station is operated by the Jornada LTER Program. This is an ONGOING dataset. IMPORTANT: Rainfall is only recorded when a bucket tip occurs on the tipping bucket rain gauge. If there is missing data due to equipment or other problems, there will be no indication of this within this dataset. The user needs to review precipitation values in the 30 minute or hourly summary datasets to determine if there are missing data in this 1 second detailed precipitation dataset.
DOI: 10.21233/q8dp-7c14
title: Attawapiskat River 3 testate amoebae surface sample dataset

description: Raw data for the Attawapiskat River 3 testate amoebae surface sample dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.21233/920k-3m85
title: Sutton River 3 testate amoebae surface sample dataset

description: Raw data for the Sutton River 3 testate amoebae surface sample dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.21233/fxqt-5e54
title: Pylone testate amoebae surface sample dataset

description: Raw data for the Pylone testate amoebae surface sample dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.21233/r82m-t387
title: LDDsite1027 water chemistry dataset

description: Raw data for the LDDsite1027 water chemistry dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.21233/efe8-p461
title: Ponass Lake water chemistry dataset

description: Raw data for the Ponass Lake water chemistry dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.6073/pasta/caa607e1ec00d869aea11a97620c8a85
title: Jornada Basin LTER Cross-scale Interactions Study (CSIS) Block 14 meteorological station: 30-minute summary data: 2017 - ongoing

description: This data package contains 30-minute air temperature, relative humidity, and wind summary data from Jornada Basin LTER Cross Scale Interactions Study (CSIS) Block-1 met station. Average 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. 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: 10.21233/tmca-kf60
title: LDDsite45 water chemistry dataset

description: Raw data for the LDDsite45 water chemistry dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.21233/dcm6-gf39
title: LDDsite53 ostracode surface sample dataset

description: Raw data for the LDDsite53 ostracode surface sample dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.21233/zrbc-1j98
title: LDDsite1443 ostracode surface sample dataset

description: Raw data for the LDDsite1443 ostracode surface sample dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.5281/zenodo.5770503
title: Weather dataset (Typical Downscaled Year, Extreme Cold Year, Extreme Warm Year) for building energy simulations (.epw format) in recent past climate, Leuven City centre, 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 city centre of Leuven (50°52'48"N, 4°42'0"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.5770502
title: Weather dataset (Typical Downscaled Year, Extreme Cold Year, Extreme Warm Year) for building energy simulations (.epw format) in recent past climate, Leuven City centre, 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 city centre of Leuven (50°52'48"N, 4°42'0"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/bxq8-bj30
title: Pembina River water chemistry dataset

description: Raw data for the Pembina River water chemistry dataset obtained from the Neotoma Paleoecology Database.