cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.34943/9af239d0-db6f-446a-bb53-4df5c5244e0a
title: Winter Harbour Accelerometer Deployed 2022-06-01

description: The Nanometrics Titan SMA (S/N 001572) was deployed on 2022-06-01 at Winter Harbour. Winter Harbour is the western-most settlement on the west coast about 41 kilometres from the northwest tip of Vancouver Island, British Columbia. This device is a Accelerometer. Accelerometers are instruments that measure accelerations. Acceleration can be static such as gravity pulling objects toward the earth, or dynamic as caused by oscillatory movements of the instrument. It was deployed on a fixed platform. Data from this deployment were archived and made available through Ocean Networks Canada's Oceans 3.0 digital infrastructure, with quality assurance and derived data products following established practices.
DOI: 10.5281/zenodo.10361070
title: EPFL COMMON_2011 22 disdrometer station data

description: Disdrometer measurements of the EPFL COMMON_2011 22 station. This dataset is part of the DISDRODB project. Station metadata are available at https://github.com/ltelab/disdrodb-data/blob/main/DISDRODB/Raw/EPFL/COMMON_2011/metadata/22.yml . The software to easily process and standardize the raw data into netCDF files is available at https://github.com/ltelab/disdrodb .
DOI: 10.5281/zenodo.10361071
title: EPFL COMMON_2011 22 disdrometer station data

description: Disdrometer measurements of the EPFL COMMON_2011 22 station. This dataset is part of the DISDRODB project. Station metadata are available at https://github.com/ltelab/disdrodb-data/blob/main/DISDRODB/Raw/EPFL/COMMON_2011/metadata/22.yml . The software to easily process and standardize the raw data into netCDF files is available at https://github.com/ltelab/disdrodb .
DOI: 10.26093/cds/aladin/36dx-d19
title: HLA-U : F336W, F330W, F300W, F275W HiPS

description: The HST-HLA Hierarchical Progressive Survey (HiPS) has been built by Daniel Durand from CADC and distributed by CDS. It sets together all HST observations done in F336W, F330W, F300W and F275W filters between the beginning of the mission to the 4th of October 2014.The Hubble Space Telescope (HST) is a cooperative program of the European Space Agency (ESA) and the National Aeronautics and Space Administration (NASA) to operate a space-based observatory for the benefit of the international astronomical community. The Hubble Legacy Archive (HLA) is designed to optimize science from the Hubble Space Telescope by providing online, enhanced Hubble products and advanced browsing capabilities. The HLA is a joint project of the Space Telescope Science Institute (STScI), the Space Telescope European Coordinating Facility (ST-ECF), and the Canadian Astronomy Data Centre (CADC). Currently we have enhanced image products for ACS, WFPC2, WFC3, and NICMOS, extracted spectra from NICMOS and ACS grism observations. The enhanced data products were generated from the standard HST pipeline products. The ACS, WFPC2, and WFC3, and NICMOS images have been combined using MultiDrizzle, are aligned north up , and, except for WFC3, have been astrometrically corrected when possible (for approximately 80% of the cases). All HLA-produced images are in units of electrons/second, which for WFPC2 and NICMOS differs from calibration pipeline products; photometric zeropoints must be adjusted to reflect the units used.
DOI: 10.5281/zenodo.10361072
title: EPFL COMMON_2011 21 disdrometer station data

description: Disdrometer measurements of the EPFL COMMON_2011 21 station. This dataset is part of the DISDRODB project. Station metadata are available at https://github.com/ltelab/disdrodb-data/blob/main/DISDRODB/Raw/EPFL/COMMON_2011/metadata/21.yml . The software to easily process and standardize the raw data into netCDF files is available at https://github.com/ltelab/disdrodb .
DOI: 10.5281/zenodo.10361073
title: EPFL COMMON_2011 21 disdrometer station data

description: Disdrometer measurements of the EPFL COMMON_2011 21 station. This dataset is part of the DISDRODB project. Station metadata are available at https://github.com/ltelab/disdrodb-data/blob/main/DISDRODB/Raw/EPFL/COMMON_2011/metadata/21.yml . The software to easily process and standardize the raw data into netCDF files is available at https://github.com/ltelab/disdrodb .
DOI: 10.48758/ufz.14272
title: Data and Scripts for Boeing et al "Increasing influence of evapotranspiration on prolonged water storage recovery in Germany" (ERL-116852)

description: Data-sets and Scripts alongside the Environmental Research Letters Publication ERL-116852.
"Increasing influence of evapotranspiration on prolonged water storage recovery in Germany"



Abstract:
Central Europe, including Germany, has faced exceptional multi-year terrestrial water storage (TWS) deficits since 2018, negatively impacting various sectors such as forestry, energy production, and drinking water supply. Currently, the understanding of the recovery dynamics behind such extreme events is limited, which hampers accurate water management decisions. We used a simulation of the mesoscale hydrological model (mHM) over the last 257 years (1766–2022) to provide the first long-term perspective on the dynamics of the TWS deficit recovery in Germany.
The results show that severe TWS deficits surpassing a peak deficit of -42 mm (-15 km3 ) exhibit large variability in recovery times (3–31 months). The 2018–2021 TWS deficit period was unprecedented in terms of recovery time (31 months),mean intensity and associated bi-decadal negative trends. In recent decades, we identified increased evapotranspiration (E) fluxes that have impacted TWS dynamics in Germany. Increased E flux anomalies contributed to prolonged TWS recovery, given that the TWS deficit did not quickly recover through above-average precipitation
(P ). An extreme TWS deficit similar to that in 2018 was recovered by above-average precipitation within three months in the winter of 1947–1948. Our research contributes to an improved understanding of the dynamics and drivers of TWS deficit recovery.

Description of the methodology and data-sets can be found in the manuscript and supplements.


included data-sets:
---------------------------------
Filename: "mHM_Fluxes_States_ger.nc"
Description: monthly mHM Simulations 1776 - 2022: 




---------------------------------
Filename: "data_deficit_TWS_Casty-CRU-EOBS_1766_2022_1766-01-01-2022-12-31_mm.nc"
Description:
- monthly anomalies for: terrestrial water storage(TWS), precipitation (pre), actual evapotranspiration (aET), potential evapotranspiration (PET), runoff (Q), mean temperature (tavg)
- derived metrics for TWS deficits

---------------------------------
Filename: 
"res_TWS_deficit_mm.csv"
Description:
- derived characteristics of TWS deficit periods:
including Start [date], Peak [Date], End [Date], max_deficit (peak) [mm], mean_deficit (intensity) [mm],
Start_to_peak (development time) [months], peak to end (recovery time) [months], total_time [months]


---------------------------------
Filename: 
"res_TWS_drivers_mm.csv"
Description:
- water fluxes during TWS deficit periods (ap: after peak, which means recovery time; bp: before peak, which means development time)
- cumulative anomalies for pre, aET, Q, PET and mean for tavg

---------------------------------

script repository for processing and production of figures:

Description is in the scripts

---------------------------------
DOI: 10.5281/zenodo.10361075
title: EPFL COMMON_2011 41 disdrometer station data

description: Disdrometer measurements of the EPFL COMMON_2011 41 station. This dataset is part of the DISDRODB project. Station metadata are available at https://github.com/ltelab/disdrodb-data/blob/main/DISDRODB/Raw/EPFL/COMMON_2011/metadata/41.yml . The software to easily process and standardize the raw data into netCDF files is available at https://github.com/ltelab/disdrodb .
DOI: 10.5281/zenodo.10361074
title: EPFL COMMON_2011 41 disdrometer station data

description: Disdrometer measurements of the EPFL COMMON_2011 41 station. This dataset is part of the DISDRODB project. Station metadata are available at https://github.com/ltelab/disdrodb-data/blob/main/DISDRODB/Raw/EPFL/COMMON_2011/metadata/41.yml . The software to easily process and standardize the raw data into netCDF files is available at https://github.com/ltelab/disdrodb .
DOI: 10.5281/zenodo.10361076
title: EPFL COMMON_2011 20 disdrometer station data

description: Disdrometer measurements of the EPFL COMMON_2011 20 station. This dataset is part of the DISDRODB project. Station metadata are available at https://github.com/ltelab/disdrodb-data/blob/main/DISDRODB/Raw/EPFL/COMMON_2011/metadata/20.yml . The software to easily process and standardize the raw data into netCDF files is available at https://github.com/ltelab/disdrodb .
DOI: 10.5281/zenodo.10361077
title: EPFL COMMON_2011 20 disdrometer station data

description: Disdrometer measurements of the EPFL COMMON_2011 20 station. This dataset is part of the DISDRODB project. Station metadata are available at https://github.com/ltelab/disdrodb-data/blob/main/DISDRODB/Raw/EPFL/COMMON_2011/metadata/20.yml . The software to easily process and standardize the raw data into netCDF files is available at https://github.com/ltelab/disdrodb .
DOI: 10.5281/zenodo.10361078
title: EPFL HYMEX_LTE_SOP2 32 disdrometer station data

description: Disdrometer measurements of the EPFL HYMEX_LTE_SOP2 32 station. This dataset is part of the DISDRODB project. Station metadata are available at https://github.com/ltelab/disdrodb-data/blob/main/DISDRODB/Raw/EPFL/HYMEX_LTE_SOP2/metadata/32.yml . The software to easily process and standardize the raw data into netCDF files is available at https://github.com/ltelab/disdrodb .
DOI: 10.5281/zenodo.10361079
title: EPFL HYMEX_LTE_SOP2 32 disdrometer station data

description: Disdrometer measurements of the EPFL HYMEX_LTE_SOP2 32 station. This dataset is part of the DISDRODB project. Station metadata are available at https://github.com/ltelab/disdrodb-data/blob/main/DISDRODB/Raw/EPFL/HYMEX_LTE_SOP2/metadata/32.yml . The software to easily process and standardize the raw data into netCDF files is available at https://github.com/ltelab/disdrodb .
DOI: 10.5281/zenodo.10361056
title: EPFL EPFL_2009 30 disdrometer station data

description: Disdrometer measurements of the EPFL EPFL_2009 30 station. This dataset is part of the DISDRODB project. Station metadata are available at https://github.com/ltelab/disdrodb-data/blob/main/DISDRODB/Raw/EPFL/EPFL_2009/metadata/30.yml . The software to easily process and standardize the raw data into netCDF files is available at https://github.com/ltelab/disdrodb .
DOI: 10.5281/zenodo.10361057
title: EPFL EPFL_2009 30 disdrometer station data

description: Disdrometer measurements of the EPFL EPFL_2009 30 station. This dataset is part of the DISDRODB project. Station metadata are available at https://github.com/ltelab/disdrodb-data/blob/main/DISDRODB/Raw/EPFL/EPFL_2009/metadata/30.yml . The software to easily process and standardize the raw data into netCDF files is available at https://github.com/ltelab/disdrodb .
DOI: 10.7274/24826902
title: Global Assassinations V1.0

description: The Assassinations Dataset V1.0 is available as both an .xlsx and .csv file. The dataset contains 7,457 assassination events. An assassination event involves both successful (target killed) or attempted (target not killed) assassination. Data is sourced from News Articles, Wikidata, The Global Terrorism data set and the Archigos dataset. The dataset contains 11 columns: 1. Name - the name of the target of the assassination 2. Date - the date that the assassination event occured 3. Country - country where the assassination took place 4. Position - position held by the target (description was as specific as was allowed by the sources used to identify the event) 5. Success - '1' for successful assassinations (target killed) and '0' for attempted assassinations (target not killed) 6. Verify 1 WikiData - the unique Wikidata 'Q' identifier for the Wikidata page of the assassination target 7. Verify 2 Archigos - the unique Archigos identifier (column 'leadid' in Archigos dataset) for the assassination event 8. Verify 3 GTD - unique GTD identifier (column 'eventid' in the GTD dataset) for the assassination event 9-11. Verify 4-6 NLP/Article - for each event up to 3
DOI: 10.7274/24826902.v1
title: Global Assassinations V1.0

description: The Assassinations Dataset V1.0 is available as both an .xlsx and .csv file. The dataset contains 7,457 assassination events. An assassination event involves both successful (target killed) or attempted (target not killed) assassination. Data is sourced from News Articles, Wikidata, The Global Terrorism data set and the Archigos dataset. The dataset contains 11 columns: 1. Name - the name of the target of the assassination 2. Date - the date that the assassination event occured 3. Country - country where the assassination took place 4. Position - position held by the target (description was as specific as was allowed by the sources used to identify the event) 5. Success - '1' for successful assassinations (target killed) and '0' for attempted assassinations (target not killed) 6. Verify 1 WikiData - the unique Wikidata 'Q' identifier for the Wikidata page of the assassination target 7. Verify 2 Archigos - the unique Archigos identifier (column 'leadid' in Archigos dataset) for the assassination event 8. Verify 3 GTD - unique GTD identifier (column 'eventid' in the GTD dataset) for the assassination event 9-11. Verify 4-6 NLP/Article - for each event up to 3
DOI: 10.5281/zenodo.10361058
title: EPFL EPFL_2009 31 disdrometer station data

description: Disdrometer measurements of the EPFL EPFL_2009 31 station. This dataset is part of the DISDRODB project. Station metadata are available at https://github.com/ltelab/disdrodb-data/blob/main/DISDRODB/Raw/EPFL/EPFL_2009/metadata/31.yml . The software to easily process and standardize the raw data into netCDF files is available at https://github.com/ltelab/disdrodb .
DOI: 10.5281/zenodo.10361059
title: EPFL EPFL_2009 31 disdrometer station data

description: Disdrometer measurements of the EPFL EPFL_2009 31 station. This dataset is part of the DISDRODB project. Station metadata are available at https://github.com/ltelab/disdrodb-data/blob/main/DISDRODB/Raw/EPFL/EPFL_2009/metadata/31.yml . The software to easily process and standardize the raw data into netCDF files is available at https://github.com/ltelab/disdrodb .
DOI: 10.5281/zenodo.10361012
title: EPFL EPFL_2009 10 disdrometer station data

description: Disdrometer measurements of the EPFL EPFL_2009 10 station. This dataset is part of the DISDRODB project. Station metadata are available at https://github.com/ltelab/disdrodb-data/blob/main/DISDRODB/Raw/EPFL/EPFL_2009/metadata/10.yml . The software to easily process and standardize the raw data into netCDF files is available at https://github.com/ltelab/disdrodb .
DOI: 10.5281/zenodo.10390153
title: Additional steady-state simulations of Miocene Antarctic ice-sheet variability using 3D thermodynamical ice-sheet model IMAU-ICE

description:  





We supplement our previous dataset (doi:10.1594/PANGAEA.939114), with six additional steady-state simulations of the Miocene Antarctic ice sheet using the reference Miocene settings.

 

IMAU-ICE was run using a 40x40km grid covering the Antarctic continent. Initial conditions were obtained from reconstructions of the Antarctic bathymetry and bedrock topography pertaining to 23 to 24 million years (Myr) ago (dataset doi:10.1594/PANGAEA.923109). The simulations were forced by climate input data obtained from GENESIS simulations with varying CO2 levels (280 to 840 ppm) and Antarctic ice sheet cover (no ice to a large East-Antarctic ice sheet), and with present-day insolation. We utilized a matrix interpolation method to construct the time-varying climate forcing, based on the prescribed CO2 levels and ice cover simulated by IMAU-ICE.

 

For each simulation, we provide the run script, 1D output variables including CO2 level and the sea level contribution of the Antarctic ice sheet, and 3D output variables including ice thickness, bedrock and surface height, surface mass balance, basal mass balance, ice velocities, and ice temperatures. For more information, please contact L.B. Stap at l.b.stap@uu.nl.
DOI: 10.5281/zenodo.10390154
title: Additional steady-state simulations of Miocene Antarctic ice-sheet variability using 3D thermodynamical ice-sheet model IMAU-ICE

description:  





We supplement our previous dataset (doi:10.1594/PANGAEA.939114), with six additional steady-state simulations of the Miocene Antarctic ice sheet using the reference Miocene settings.

 

IMAU-ICE was run using a 40x40km grid covering the Antarctic continent. Initial conditions were obtained from reconstructions of the Antarctic bathymetry and bedrock topography pertaining to 23 to 24 million years (Myr) ago (dataset doi:10.1594/PANGAEA.923109). The simulations were forced by climate input data obtained from GENESIS simulations with varying CO2 levels (280 to 840 ppm) and Antarctic ice sheet cover (no ice to a large East-Antarctic ice sheet), and with present-day insolation. We utilized a matrix interpolation method to construct the time-varying climate forcing, based on the prescribed CO2 levels and ice cover simulated by IMAU-ICE.

 

For each simulation, we provide the run script, 1D output variables including CO2 level and the sea level contribution of the Antarctic ice sheet, and 3D output variables including ice thickness, bedrock and surface height, surface mass balance, basal mass balance, ice velocities, and ice temperatures. For more information, please contact L.B. Stap at l.b.stap@uu.nl.
DOI: 10.5281/zenodo.10361019
title: EPFL EPFL_2009 40 disdrometer station data

description: Disdrometer measurements of the EPFL EPFL_2009 40 station. This dataset is part of the DISDRODB project. Station metadata are available at https://github.com/ltelab/disdrodb-data/blob/main/DISDRODB/Raw/EPFL/EPFL_2009/metadata/40.yml . The software to easily process and standardize the raw data into netCDF files is available at https://github.com/ltelab/disdrodb .
DOI: 10.5281/zenodo.10361018
title: EPFL EPFL_2009 40 disdrometer station data

description: Disdrometer measurements of the EPFL EPFL_2009 40 station. This dataset is part of the DISDRODB project. Station metadata are available at https://github.com/ltelab/disdrodb-data/blob/main/DISDRODB/Raw/EPFL/EPFL_2009/metadata/40.yml . The software to easily process and standardize the raw data into netCDF files is available at https://github.com/ltelab/disdrodb .
DOI: 10.5281/zenodo.10361013
title: EPFL EPFL_2009 10 disdrometer station data

description: Disdrometer measurements of the EPFL EPFL_2009 10 station. This dataset is part of the DISDRODB project. Station metadata are available at https://github.com/ltelab/disdrodb-data/blob/main/DISDRODB/Raw/EPFL/EPFL_2009/metadata/10.yml . The software to easily process and standardize the raw data into netCDF files is available at https://github.com/ltelab/disdrodb .
DOI: 10.22029/jlupub-18177
title: Supplemental Data for "Genetic evaluations and genome-wide association studies for specific digital dermatitis diagnoses in dairy cows considering genotype x housing system interactions"

description: The present study aimed to use detailed phenotyping for the claw disorder digital dermatitis (DD) considering specific DD stages in two housing systems (conventional cubicle barns = CON and compost bedded pack barns = CBPB) to infer possible genotype x housing system interactions. The DD-stages included 2,980 observations for the three traits DD-sick, DD-acute and DD-chronic from 1,311 Holstein-Friesian and 399 Fleckvieh-Simmental cows. Selection of the 5 CBPB and 5 CON herds was based on a specific protocol to achieve a high level of herd similarity with regard to climate, feeding, milking system and location, but with pronounced housing system differences. Five other farms had “a mixed system” with two sub-herds, one representing CBPB and the other one CON. 899 cows (1530 observations) represented the CBPB system, and 811 cows (1450 observations) the CON system. The average disease prevalence was 20.47 % for DD-sick, 13.88 % for DD-acute and 5.34 % for DD-chronic, with a higher prevalence in CON than in CBPB. After quality control of 50K genotypes, 38,495 SNPs from 926 cows remained for the ongoing genomic analyses.
DOI: 10.48329/7njs-8a57
title: CPRD Aurum December 2023

description: The CPRD Aurum database contains longitudinal routinely-collected electronic health records (EHR data) from UK primary care practices using EMIS Web® general practice patient management software. The database captures information on demographic characteristics; diagnoses and symptoms; drug exposures; vaccination history; laboratory tests; and referrals to hospital and specialist care. Access to anonymised data from CPRD is subject to a full licence agreement containing detailed terms and conditions of use. Anonymised patient datasets can be extracted for researchers against specific study specifications, following protocol approval. Further information is available at https://www.cprd.com/data-access.
DOI: 10.5281/zenodo.10361024
title: EPFL EPFL_2009 22 disdrometer station data

description: Disdrometer measurements of the EPFL EPFL_2009 22 station. This dataset is part of the DISDRODB project. Station metadata are available at https://github.com/ltelab/disdrodb-data/blob/main/DISDRODB/Raw/EPFL/EPFL_2009/metadata/22.yml . The software to easily process and standardize the raw data into netCDF files is available at https://github.com/ltelab/disdrodb .
DOI: 10.5281/zenodo.10361031
title: EPFL EPFL_2009 12 disdrometer station data

description: Disdrometer measurements of the EPFL EPFL_2009 12 station. This dataset is part of the DISDRODB project. Station metadata are available at https://github.com/ltelab/disdrodb-data/blob/main/DISDRODB/Raw/EPFL/EPFL_2009/metadata/12.yml . The software to easily process and standardize the raw data into netCDF files is available at https://github.com/ltelab/disdrodb .
DOI: 10.5281/zenodo.10361030
title: EPFL EPFL_2009 12 disdrometer station data

description: Disdrometer measurements of the EPFL EPFL_2009 12 station. This dataset is part of the DISDRODB project. Station metadata are available at https://github.com/ltelab/disdrodb-data/blob/main/DISDRODB/Raw/EPFL/EPFL_2009/metadata/12.yml . The software to easily process and standardize the raw data into netCDF files is available at https://github.com/ltelab/disdrodb .
DOI: 10.5281/zenodo.10361025
title: EPFL EPFL_2009 22 disdrometer station data

description: Disdrometer measurements of the EPFL EPFL_2009 22 station. This dataset is part of the DISDRODB project. Station metadata are available at https://github.com/ltelab/disdrodb-data/blob/main/DISDRODB/Raw/EPFL/EPFL_2009/metadata/22.yml . The software to easily process and standardize the raw data into netCDF files is available at https://github.com/ltelab/disdrodb .
DOI: 10.5281/zenodo.10361034
title: EPFL EPFL_2009 11 disdrometer station data

description: Disdrometer measurements of the EPFL EPFL_2009 11 station. This dataset is part of the DISDRODB project. Station metadata are available at https://github.com/ltelab/disdrodb-data/blob/main/DISDRODB/Raw/EPFL/EPFL_2009/metadata/11.yml . The software to easily process and standardize the raw data into netCDF files is available at https://github.com/ltelab/disdrodb .
DOI: 10.5281/zenodo.10361038
title: EPFL EPFL_2009 33 disdrometer station data

description: Disdrometer measurements of the EPFL EPFL_2009 33 station. This dataset is part of the DISDRODB project. Station metadata are available at https://github.com/ltelab/disdrodb-data/blob/main/DISDRODB/Raw/EPFL/EPFL_2009/metadata/33.yml . The software to easily process and standardize the raw data into netCDF files is available at https://github.com/ltelab/disdrodb .