cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.7910/dvn/adifov/ikn8gt
title: metadata.yml

description: :unav
DOI: 10.7910/dvn/adifov/kb9bfp
title: log_examples.txt

description: :unav
DOI: 10.7910/dvn/adifov/kditev
title: REPRODUCING.md

description: :unav
DOI: 10.7910/dvn/adifov/thimhd
title: log_SAR_plot.txt

description: :unav
DOI: 10.7910/dvn/adifov/vgyhae
title: log_SLX_row.txt

description: :unav
DOI: 10.7910/dvn/adifov/w5cjo9
title: FigureC3.pdf

description: :unav
DOI: 10.7910/dvn/adifov/xy0u6w
title: LICENSE

description: :unav
DOI: 10.7910/dvn/slxrvj/3smnnp
title: Term_Contribution.RDS

description: :unav
DOI: 10.7910/dvn/slxrvj/6trkqu
title: Summary.R

description: :unav
DOI: 10.7910/dvn/slxrvj/efkzeq
title: CB_Speech_Metadata_Untagged.pdf

description: :unav
DOI: 10.7910/dvn/slxrvj/gisbxm
title: Data_Parliament.RDS

description: :unav
DOI: 10.7910/dvn/slxrvj/gybvaq
title: Opinion_Report_Timing.R

description: :unav
DOI: 10.7910/dvn/slxrvj/latsig
title: Politbarometer_Salience.R

description: :unav
DOI: 10.7910/dvn/slxrvj/sab6v4
title: Parliament.R

description: :unav
DOI: 10.7910/dvn/slxrvj/syi4sr
title: Main.R

description: :unav
DOI: 10.7910/dvn/slxrvj/wfitty
title: Opinion_Reports_V2.RDS

description: :unav
DOI: 10.5285/5f1d4afa090a4e5c9937ec3362ffd77e
title: BACI: System State Vector (SSV) land surface time series dataset for the Denmark fast track site, 2000-2015, v1.0

description: The BACI Surface State Vector (SSV) dataset for Denmark provides a description of the surface state from a combination of satellite observations across wavelength domains i.e. albedo (visible), Land Surface Temperature (LST) (passive/thermal microwave) and backscatter (active microwave). The dataset contains a unique spatially and temporally consistent (as far as the observations allow) series of observations of the land surface, across optical and microwave domains. The innovation of this approach is in providing a SSV in a common space/time framework, containing information from multiple, independent data streams, with associated uncertainty. The methods used can be used to combine data from multiple different satellite sources. The resulting dataset is intended to make the best use of all available observations to detect changes in the land surface state: the combination of data is likely to show changes that would not be apparent from data in a single wavelength region. The inclusion of uncertainty also allows the strength of the resulting changes to be properly quantified.
DOI: 10.5285/ccb3b45ba498406ebc7d8d95aaae77cf
title: BACI: System State Vector (SSV) land surface time series dataset for the Southern African regional site, 2000-2015, v1.0

description: The BACI Surface State Vector (SSV) dataset for Souther African regional site provides a description of the surface state from a combination of satellite observations across wavelength domains i.e. albedo (visible), Land Surface Temperature (LST) (passive/thermal microwave) and backscatter (active microwave). The dataset contains a unique spatially and temporally consistent (as far as the observations allow) series of observations of the land surface, across optical and microwave domains. The innovation of this approach is in providing a SSV in a common space/time framework, containing information from multiple, independent data streams, with associated uncertainty. The methods used can be used to combine data from multiple different satellite sources. The resulting dataset is intended to make the best use of all available observations to detect changes in the land surface state: the combination of data is likely to show changes that would not be apparent from data in a single wavelength region. The inclusion of uncertainty also allows the strength of the resulting changes to be properly quantified.
DOI: 10.7910/dvn/adifov/7n5koz
title: capsule.Rproj

description: :unav
DOI: 10.7910/dvn/adifov/rfzytw
title: sim_slx_minmax.R

description: :unav
DOI: 10.7910/dvn/adifov/szdfaa
title: TableC1.txt

description: :unav
DOI: 10.7910/dvn/adifov/zox2fz
title: Run_all.R

description: :unav
DOI: 10.7910/dvn/slxrvj/b6cqa1
title: Politbarometer_Popularity.R

description: :unav
DOI: 10.7910/dvn/slxrvj/bpirck
title: LCS_Distribution.R

description: :unav
DOI: 10.7910/dvn/slxrvj/cxdssv
title: CB_State_Elections.pdf

description: :unav
DOI: 10.7910/dvn/slxrvj/fwcx4p
title: CB_Accuracy_Prediction.pdf

description: :unav
DOI: 10.7910/dvn/slxrvj/gkds6d
title: CB_Politbarometer.pdf

description: :unav
DOI: 10.7910/dvn/slxrvj/gvxuug
title: CB_Spiegel_Salience.pdf

description: :unav
DOI: 10.7910/dvn/slxrvj/i3d7b5
title: CB_Bundestag_Sessions.pdf

description: :unav
DOI: 10.7910/dvn/slxrvj/ktue0n
title: Word_Contribution.R

description: :unav
DOI: 10.7910/dvn/slxrvj/qouxpj
title: Substantive.R

description: :unav
DOI: 10.7910/dvn/slxrvj/zsyuwm
title: Randomization_Inference.R

description: :unav
DOI: 10.17632/pnrp24rkyj.3
title: Data of respiratory polygraphy of children investigated for sleep disordered breathing with different congenital or respiratory diseases.

description: raw data of respiratory indices and indications obtained by polygraphy and computed medical records including transcutaneous capnometry
DOI: 10.5285/d667a28f59664ecdba50fe97dd9d63c7
title: BACI: System State Vector (SSV) land surface time series dataset for the Wytham Forest fast track site, 2000-2015, v1.0

description: The BACI Surface State Vector (SSV) dataset for the Wytham Forest in Oxfordshire, UK and provides a description of the surface state from a combination of satellite observations across wavelength domains i.e. albedo (visible), Land Surface Temperature (LST) (passive/thermal microwave) and backscatter (active microwave). The dataset contains a unique spatially and temporally consistent (as far as the observations allow) series of observations of the land surface, across optical and microwave domains. The innovation of this approach is in providing a SSV in a common space/time framework, containing information from multiple, independent data streams, with associated uncertainty. The methods used can be used to combine data from multiple different satellite sources. The resulting dataset is intended to make the best use of all available observations to detect changes in the land surface state: the combination of data is likely to show changes that would not be apparent from data in a single wavelength region. The inclusion of uncertainty also allows the strength of the resulting changes to be properly quantified.
DOI: 10.7910/dvn/slxrvj/1cac70
title: CB_Speech_Metadata_Tagged.pdf

description: :unav
DOI: 10.7910/dvn/slxrvj/cwiyav
title: Spiegel_Salience.R

description: :unav
DOI: 10.7910/dvn/slxrvj/da3asv
title: Data_Speeches_V2.RDS

description: :unav
DOI: 10.7910/dvn/slxrvj/h7dpve
title: State_Elections.RDS

description: :unav
DOI: 10.7910/dvn/slxrvj/ibptss
title: CB_LCS_Matches.pdf

description: :unav
DOI: 10.7910/dvn/slxrvj/t3ek4e
title: CB_Opinion_Reports_V2.pdf

description: :unav
DOI: 10.7910/dvn/slxrvj/ufghvc
title: Prediction_Accuracy.R

description: :unav
DOI: 10.7910/dvn/slxrvj/ybq2g0
title: Custom_RDD_Function.R

description: :unav
DOI: 10.17632/4zky6h8w3v.1
title: Shape-Morphing Carbon Fiber Composite using Electrochemical Actuation

description: Raw data and scripts to support the article: Johannisson, W., Harnden, R., Zenkert, D., Lindbergh, G., Shape-Morphing Carbon Fiber Composite using Electrochemical Actuation.
DOI: 10.5281/zenodo.3631581
title: Ensemble calculations of "Summer Days" from EURO-CORDEX data for Europe

description: <strong>Climate Index: </strong>Summer days <strong>Definition:</strong> Number of days with daily maximum temperature above 25°C. <strong>Additional information:</strong> The dataset is based on an ensemble of EURO-CORDEX model simulations of daily near-surface maximum temperature. All ensemble members are bias-corrected against the gridded daily observational dataset E-OBS. Results (ensemble mean and standard deviation) are available for historical (1971-2000) and future (2011-2040, 2041-2070, 2071-2100) climate periods and for the representative concentration pathways RCP2.6, RCP4.5 and RCP8.5. The bias-corrected EURO-CORDEX climate model simulations used are: CLMcom-CCLM4-8-17/ICHEC-EC-EARTH, CLMcom-CCLM4-8-17/MOHC-HadGEM2-ES DMI-HIRHAM5/ICHEC-EC-EARTH KNMI-RACMO22E/ICHEC-EC-EARTH, KNMI-RACMO22E/MOHC-HadGEM2-ES SMHI-RCA4/ICHEC-EC-EARTH, SMHI-RCA4/MOHC-HadGEM2-ES
DOI: 10.5281/zenodo.3631582
title: Ensemble calculations of "Summer Days" from EURO-CORDEX data for Europe

description: <strong>Climate Index: </strong>Summer days <strong>Definition:</strong> Number of days with daily maximum temperature above 25°C. <strong>Additional information:</strong> The dataset is based on an ensemble of EURO-CORDEX model simulations of daily near-surface maximum temperature. All ensemble members are bias-corrected against the gridded daily observational dataset E-OBS. Results (ensemble mean and standard deviation) are available for historical (1971-2000) and future (2011-2040, 2041-2070, 2071-2100) climate periods and for the representative concentration pathways RCP2.6, RCP4.5 and RCP8.5. The bias-corrected EURO-CORDEX climate model simulations used are: CLMcom-CCLM4-8-17/ICHEC-EC-EARTH, CLMcom-CCLM4-8-17/MOHC-HadGEM2-ES DMI-HIRHAM5/ICHEC-EC-EARTH KNMI-RACMO22E/ICHEC-EC-EARTH, KNMI-RACMO22E/MOHC-HadGEM2-ES SMHI-RCA4/ICHEC-EC-EARTH, SMHI-RCA4/MOHC-HadGEM2-ES
DOI: 10.5281/zenodo.3631933
title: marinalaforgia/McL_Climate-Competition: First release of repository

description: First release of repository associated with publication "Invasive species interact with climate variability to reduce success of natives" in Ecology. Includes associated data and scripts.
DOI: 10.5285/4d3684dd0d1a4c87b7bec95ff33349e2
title: BACI: System State Vector (SSV) land surface time series dataset for the Central Somalia fast track site, 2000-2015, v1.0

description: The BACI Surface State Vector (SSV) dataset for the Central Somalia fast track site and provides a description of the surface state from a combination of satellite observations across wavelength domains i.e. albedo (visible), Land Surface Temperature (LST) (passive/thermal microwave) and backscatter (active microwave). The dataset contains a unique spatially and temporally consistent (as far as the observations allow) series of observations of the land surface, across optical and microwave domains. The innovation of this approach is in providing a SSV in a common space/time framework, containing information from multiple, independent data streams, with associated uncertainty. The methods used can be used to combine data from multiple different satellite sources. The resulting dataset is intended to make the best use of all available observations to detect changes in the land surface state: the combination of data is likely to show changes that would not be apparent from data in a single wavelength region. The inclusion of uncertainty also allows the strength of the resulting changes to be properly quantified.
DOI: 10.5285/63d305bfc8774883a8f49eb2fa27ce93
title: BACI: System State Vector (SSV) land surface time series dataset for the Horn of Africa regional site, 2000-2015, v1.0

description: The BACI Surface State Vector (SSV) dataset for the Horn of Africa provides a description of the surface state from a combination of satellite observations across wavelength domains i.e. albedo (visible), Land Surface Temperature (LST) (passive/thermal microwave) and backscatter (active microwave). The dataset contains a unique spatially and temporally consistent (as far as the observations allow) series of observations of the land surface, across optical and microwave domains. The innovation of this approach is in providing a SSV in a common space/time framework, containing information from multiple, independent data streams, with associated uncertainty. The methods used can be used to combine data from multiple different satellite sources. The resulting dataset is intended to make the best use of all available observations to detect changes in the land surface state: the combination of data is likely to show changes that would not be apparent from data in a single wavelength region. The inclusion of uncertainty also allows the strength of the resulting changes to be properly quantified.
DOI: 10.5285/aef2d8a023094015971b1dbfdb035abd
title: BACI: System State Vector (SSV) land surface time series dataset for the Kruger National Park fast track site, 2000-2015, v1.0

description: The BACI Surface State Vector (SSV) dataset for the Kruger National Park track site and provides a description of the surface state from a combination of satellite observations across wavelength domains i.e. albedo (visible), Land Surface Temperature (LST) (passive/thermal microwave) and backscatter (active microwave). The dataset contains a unique spatially and temporally consistent (as far as the observations allow) series of observations of the land surface, across optical and microwave domains. The innovation of this approach is in providing a SSV in a common space/time framework, containing information from multiple, independent data streams, with associated uncertainty. The methods used can be used to combine data from multiple different satellite sources. The resulting dataset is intended to make the best use of all available observations to detect changes in the land surface state: the combination of data is likely to show changes that would not be apparent from data in a single wavelength region. The inclusion of uncertainty also allows the strength of the resulting changes to be properly quantified.
DOI: 10.7910/dvn/slxrvj/dzkzfa
title: CB_Data_Speeches_V2.pdf

description: :unav
DOI: 10.7910/dvn/slxrvj/jbmrky
title: CB_Data_Parliament.pdf

description: :unav
DOI: 10.7910/dvn/slxrvj/klxuws
title: CB_Term_Contribution.pdf

description: :unav
DOI: 10.7910/dvn/slxrvj/mvudbt
title: README.txt

description: :unav
DOI: 10.17632/nt272t2bxc.1
title: Data for: Antidepressants and suicidality: A re-analysis of the re-analysis.
DOI: 10.5281/zenodo.3631549
title: Time series of annual TAS 40-year trend from historical to future in CMIP5 model simulations

description: Time series of 40-year linear trend for the annual near surface air temperature (tas) for the period 1979-2100 as simulated by the CMIP5 models on a 2 x 2 deg grid. The data for the period 1979-2005 are taken from the CMIP5 historical simulations, while data for 2006-2100 are from the CMIP5 future scenario rcp2.6, rcp4.5 and rcp8.5, respectively. The 40 year trend of 1979-2018 from the ERA-Interim reanalysis is also provided in a separate file. Each file contains the time series of the 40-year linear trend for tas at each grid point from historical to one of the three scenarios simulated by one model. The linear trend is calculated using cdo, and the year associated with each data point in a file corresponding to the last year in the 40-year time period, e.g, the associated year 2018 corresponds to the linear trend calculated for the period 1979-2018. Unit: C/year.
DOI: 10.5285/41b281acc6f2404a88232e5c0ef12009
title: BACI: System State Vector (SSV) land surface time series dataset for the Southern Somalia fast track site, 2000-2015, v1.0

description: The BACI Surface State Vector (SSV) dataset for the Southern Somalia fast track site and provides a description of the surface state from a combination of satellite observations across wavelength domains i.e. albedo (visible), Land Surface Temperature (LST) (passive/thermal microwave) and backscatter (active microwave). The dataset contains a unique spatially and temporally consistent (as far as the observations allow) series of observations of the land surface, across optical and microwave domains. The innovation of this approach is in providing a SSV in a common space/time framework, containing information from multiple, independent data streams, with associated uncertainty. The methods used can be used to combine data from multiple different satellite sources. The resulting dataset is intended to make the best use of all available observations to detect changes in the land surface state: the combination of data is likely to show changes that would not be apparent from data in a single wavelength region. The inclusion of uncertainty also allows the strength of the resulting changes to be properly quantified.
DOI: 10.5285/ce294d36cc5d4117a9a2a5f998bdd2e8
title: BACI: System State Vector (SSV) land surface time series dataset for the Hainich fast track site, 2000-2015, v1.0

description: The BACI Surface State Vector (SSV) dataset for the Hainich forested hill chain in the state of Thuringia in Germany and provides a description of the surface state from a combination of satellite observations across wavelength domains i.e. albedo (visible), Land Surface Temperature (LST) (passive/thermal microwave) and backscatter (active microwave). The dataset contains a unique spatially and temporally consistent (as far as the observations allow) series of observations of the land surface, across optical and microwave domains. The innovation of this approach is in providing a SSV in a common space/time framework, containing information from multiple, independent data streams, with associated uncertainty. The methods used can be used to combine data from multiple different satellite sources. The resulting dataset is intended to make the best use of all available observations to detect changes in the land surface state: the combination of data is likely to show changes that would not be apparent from data in a single wavelength region. The inclusion of uncertainty also allows the strength of the resulting changes to be properly quantified.
DOI: 10.5285/d638387d907648b68fa8578907293d9a
title: BACI: System State Vector (SSV) land surface time series dataset for the Romanian fast track site, 2000-2015, v1.0

description: The BACI Surface State Vector (SSV) dataset for the Romanian fast track site and provides a description of the surface state from a combination of satellite observations across wavelength domains i.e. albedo (visible), Land Surface Temperature (LST) (passive/thermal microwave) and backscatter (active microwave). The dataset contains a unique spatially and temporally consistent (as far as the observations allow) series of observations of the land surface, across optical and microwave domains. The innovation of this approach is in providing a SSV in a common space/time framework, containing information from multiple, independent data streams, with associated uncertainty. The methods used can be used to combine data from multiple different satellite sources. The resulting dataset is intended to make the best use of all available observations to detect changes in the land surface state: the combination of data is likely to show changes that would not be apparent from data in a single wavelength region. The inclusion of uncertainty also allows the strength of the resulting changes to be properly quantified.
DOI: 10.17632/j2rxthsb96.1
title: Supplementary material - Low-dose methotrexate use and safety for older patients with bullous pemphigoid and impaired renal function: a cohort study

description: Should methotrexate be avoided in patients with bullous pemphigoid and impaired renal function? We investigated its use and safety among patients with different levels of renal function at the time of treatment initiation. The supplementary material of the letter published in the Journal of the American Academy of Dermatology (JAAD) is uploaded here.
DOI: 10.5285/26d87003a3684fb69713a4f1bb085861
title: BACI: System State Vector (SSV) land surface time series dataset for the Slovenia fast track site, 2000-2015, v1.0

description: The BACI Surface State Vector (SSV) dataset for Slovenia and provides a description of the surface state from a combination of satellite observations across wavelength domains i.e. albedo (visible), Land Surface Temperature (LST) (passive/thermal microwave) and backscatter (active microwave). The dataset contains a unique spatially and temporally consistent (as far as the observations allow) series of observations of the land surface, across optical and microwave domains. The innovation of this approach is in providing a SSV in a common space/time framework, containing information from multiple, independent data streams, with associated uncertainty. The methods used can be used to combine data from multiple different satellite sources. The resulting dataset is intended to make the best use of all available observations to detect changes in the land surface state: the combination of data is likely to show changes that would not be apparent from data in a single wavelength region. The inclusion of uncertainty also allows the strength of the resulting changes to be properly quantified.
DOI: 10.5285/af13038e9caf499482a9bbb0b8fca2b8
title: BACI: System State Vector (SSV) land surface time series dataset for the European regional site, 2000-2015, v1.0

description: The BACI Surface State Vector (SSV) dataset for Europe provides a description of the surface state from a combination of satellite observations across wavelength domains i.e. albedo (visible), Land Surface Temperature (LST) (passive/thermal microwave) and backscatter (active microwave). The dataset contains a unique spatially and temporally consistent (as far as the observations allow) series of observations of the land surface, across optical and microwave domains. The innovation of this approach is in providing a SSV in a common space/time framework, containing information from multiple, independent data streams, with associated uncertainty. The methods used can be used to combine data from multiple different satellite sources. The resulting dataset is intended to make the best use of all available observations to detect changes in the land surface state: the combination of data is likely to show changes that would not be apparent from data in a single wavelength region. The inclusion of uncertainty also allows the strength of the resulting changes to be properly quantified.
DOI: 10.15151/esrf-es-187194831
title: TEST
DOI: 10.5285/0075727fcd2844a38fc1f03907e0ec5d
title: BACI: System State Vector (SSV) land surface time series dataset for the Northern Somalia fast track site, 2000-2015, v1.0

description: The BACI Surface State Vector (SSV) dataset for the Northern Somalia fast track site and provides a description of the surface state from a combination of satellite observations across wavelength domains i.e. albedo (visible), Land Surface Temperature (LST) (passive/thermal microwave) and backscatter (active microwave). The dataset contains a unique spatially and temporally consistent (as far as the observations allow) series of observations of the land surface, across optical and microwave domains. The innovation of this approach is in providing a SSV in a common space/time framework, containing information from multiple, independent data streams, with associated uncertainty. The methods used can be used to combine data from multiple different satellite sources. The resulting dataset is intended to make the best use of all available observations to detect changes in the land surface state: the combination of data is likely to show changes that would not be apparent from data in a single wavelength region. The inclusion of uncertainty also allows the strength of the resulting changes to be properly quantified.
DOI: 10.5519/qd.qb73zbqw
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (1 records)
DOI: 10.6073/pasta/aa4ea3fa290b50efd8e4b5d2b9f8aba7
title: Year 2019, PIE LTER wind sensor data, 15 minute intervals, from the Ipswich Bay Yacht Club pier located in Ipswich, MA

description: Wind sensor measurements (wind speed and wind direction) for 2019 at the Ipswich Bay Yacht Club, Ipswich, MA, 15 minute average measurements.