cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.6554937
title: Western Tigray in 165 historical and 33 ethno-linguistic maps (1475-2014)

description: There is a wide array of historical maps and records which jointly reveal that the territorial organisation of northern Ethiopia has tremendously changed over the last four centuries. Historical maps representing the Western Zone of the Tigray Region (Welkait and adjacent districts, Fig. 1) have been retrieved from well-established repositories. Only maps prepared in the same period (co-eval maps) were used. Each map was screened for representation of internal borders, indicating sway or territorial control. Out of 165 maps, spanning the period 1475-1967, 159 were precise enough to be analysed, of which 93 display territorial control. Descriptive statistics of the dataset as a whole are presented. Starting from the late 16<sup>th</sup> C., territorial control is frequently and clearly shown, with 57 maps (between 1570 and 1941) displaying a boundary that is located well south of the Tekeze River, or even south of the Simien mountains (Fig. 2). Welkait is explicitly included within a larger Tigray confederation (periods 1707-1794, 1829-1898, 1908-1909, and 1935-1941) (Fig. 3); it is briefly mapped as part of Amhara in 1891-1896 and part of Gondar from 1944-1990. At other periods it appears independent or part of a larger Mezaga (“dark earth”) lowland region. The Amhara/Gondar – Tigray border is mapped on the Tekeze River at short intervals in 1844-1847, 1860-1872, and 1891-1896 and then more permanently between 1944 and 1990. The meta-analyis of the historical maps shows that for the larger part of the last 300 years, Western Tigray has been under Tigray jurisdiction (Fig. 5). However, at times of upheaval, the territory has been briefly reorganized under either the Amhara polities or was autonomous. These maps demonstrate that the argument that Welkait was “<em>always</em> a part of Begemdir”, or else Amhara, is not based on evidence, apart from a territorial reorganisation in the mid-twentieth century. In contrast, contemporary Tigray is a valid territory, whose legitimacy stems from modern federalism’s faculty to create a region away from concepts of the Ethiopian empire-state. In 1991-4, when the boundaries of the Tigray Region were established as part of federal Ethiopia, local self-determination was way more important than historical maps. Remarkably, the consensus of the 20<sup>th</sup> C. ethno-linguistic maps of the Ethiopian state sustains the current extent of the Tigray region. In other words: the Amhara nationalist narrative that there was continuous ancestral ownership of Western Tigray is not confirmed by a meta-analysis of the historical maps. We conclude with the suggestion to especially consider the recent and subrecent actual world, including language maps.
DOI: 10.5517/ccdc.csd.cc1nzjlr
title: CCDC 1548685: Experimental Crystal Structure Determination

description: Related Article: Theshini Perera, Frank R. Fronczek|2017|CSD Communication|||
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.1594/pangaea.902849
title: 1Hz resolution aircraft measurements of wind and temperature during the ACLOUD campaign in 2017

description: During the ACLOUD (Arctic Cloud Observations Using airborne measurements during polar Day) campaign conducted in May/June 2017 meteorological data (temperature, horizontal wind components, air pressure) have been measured using instrumentation that was installed at the nosebooms of both aircraft Polar 5 and Polar 6. This dataset presents the 1Hz resolution data. The high temporal resolution data (at 100 Hz) with all wind components are available here: doi:10.1594/PANGAEA.900880).For each flight the data are given as functions of time and position (including height above ground) along the flight tracks. Listed in this repository are all flights beginning with the test flight in Bremen and the Ferryflights to Longyearbyen. All other measurement flights started and ended in Longyearbyen. Each file represents an entire flight starting well before the first movement of the plane and ending after the final parking position has been reached after landing. The wind measurement is only valid during flight and the full accuracy is only achieved during straight level flight sections. The absolute accuracy of the wind components is 0.2m/s for straight and level flights sections. For further informations on the data processing and accuracy of the turbulence measurement refer to Hartmann et al. (2018, doi:10.5194/amt-11-4567-2018). For further information on the ACLOUD campaign we refer to Wendisch et al. (2018, doi:10.1175/BAMS-D-18-0072.1). --All data are given as decimal values at 1Hz in columns in this order and meaning: UTC - UTC-time in seconds (since midnight)h - height in metres based on WGS84lon - longitude in degress based on WS84lat - latitude in degress based on WS84p - static pressure in hpags - ground speed in m/s pitch - pitch angle in degreesroll - roll angle in degreesrh - relative humidity from Vaisala at noseboomT - temperature from PT100, corrected for adiabatic heating u - west-east component of wind speed in m/s, positive towards eastv - south-north component of wind speed in m/s, positive towards northtas - true air speed in m/s
DOI: 10.5067/8mo7dedytbh7
title: OMPS-NPP L2 LP Ozone (O3) Vertical Profile swath daily Center slit V2.6
DOI: 10.5067/iss/sageiii/solar_hdf5_l2-v5.3
title: SAGE III/ISS L2 Solar Event Species Profiles (HDF5) V053
DOI: 10.1594/pangaea.900880
title: High resolution aircraft measurements of wind and temperature during the ACLOUD campaign in 2017

description: During the ACLOUD (Arctic Cloud Observations Using airborne measurements during polar Day) campaign conducted in May/June 2017 meteorological data (temperature, 3 wind components, air pressure) have been measured in high temporal resolution (100 Hz) using instrumentation that was installed at the nosebooms of both aircraft Polar 5 and Polar 6. For each flight the data are given as functions of time and position (including height above ground) along the flight tracks. All flights started and ended in Longyearbyen, Svalbard. Each file represents an entire flight starting well before the first movement of the plane and ending after the final parking position has been reached after landing. The wind measurement is only valid during flight and the full accuracy is only achieved during straight level flight sections. The absolute accuracy of the wind components is 0.2m/s for straight and level flights sections and the relative accuracy of the vertical wind speed is about 0.05m/s for straight and level flight sections. For these sections, which can be obtained on the basis of the given roll and pitch angles of the aircraft, the 100 Hz data can be used to derive turbulent fluxes of momentum and sensible heat. For further informations on the data processing and accuracy of the turbulence measurement refer to Hartmann et al. (2018, doi:10.5194/amt-11-4567-2018). For further information on the ACLOUD campaign we refer to Wendisch et al. (2018, doi:10.1175/BAMS-D-18-0072.1). --All data are given as decimal values at 100Hz in columns in this order and meaning: t - UTC-time in seconds (since midnight) lon - longitude in degress based on WGS84 lat - latitude in degress based on WGS84 h - height in metres based on WGS84 p - static pressure in hpa, corrected for the influence of the aircraft T - temperature from PT100, corrected for adiabatic heating u - west-east component of wind speed in m/s, positive towards east v - south-north component of wind speed in m/s, positive towards north w - vertical wind speed in m/s pitch - pitch angle in degrees roll - roll angle in degrees thdg - true heading of the aircraft in degrees
DOI: 10.5067/epic/dscovr/l1b.002
title: DSCOVR EPIC Level 1B Version 2
DOI: 10.5067/epic/dscovr/l2_cloud_01
title: DSCOVR EPIC Cloud Products
DOI: 10.5281/zenodo.3648070
title: Net Primary Production (NPP) estimates from 4 Land Surface Modelling (LSM) in Fennoscandia 1997-2013

description: The file "Dec1997_Dec2013_4LSM_subCLINF_npp_.RData" contains NPP (Net Primary Production) estimates from 4 Land Surface Modelling (LSM): JULES, ORCHIDEE-MICT, ORCHIDEE-HLveg and CLM5 over the nordic area encompassing Norway, Sweden, Finland and western Russia (58.25-71.25 North and 4.75-34.75 East). The data is used in the paper: Leibovici DG, Quegan S, Comyn-Platt E, Hayman G, Val Martin M, Guimberteau M, Druel A, Zhu D, and Ciais P (2020) Spatio-Temporal Variations and Uncertainty in Land Surface Modelling for High Latitudes: Univariate Response Analysis.<strong> Biogeosciences (accepted 5Feb2020) </strong>
DOI: 10.5285/67a3f8c8dc914ef99f7f08eb0d997e23
title: ESA Permafrost Climate Change Initiative (Permafrost_cci): Permafrost active layer thickness for the Northern Hemisphere, v3.0

description: This dataset contains permafrost active layer thickness data produced as part of the European Space Agency's (ESA) Climate Change Initiative (CCI) Permafrost project. It forms part of the second version of their Climate Research Data Package (CRDP v2). It is derived from a thermal model driven and constrained by satellite data. Grid products of CDRP v2 are released in annual files, covering the start to the end of the Julian year. The maximum depth of seasonal thaw is provided, which corresponds to the active layer thickness. Case A: This covers the Northern Hemisphere (north of 30°) for the period 2003-2019 based on MODIS Land Surface temperature merged with downscaled ERA5 reanalysis near-surface air temperature data. Case B: This covers the Northern Hemisphere (north of 30°) for the period 1997-2002 based on downscaled ERA5 reanalysis near-surface air temperature data which are bias-corrected with the Case A product for the overlap period 2003-2019 using a pixel-specific statistics for each day of the year.
DOI: 10.6073/pasta/5ba23933c1b499e423dd9f4967c26684
title: Time-series of 5 minute water temperatures averages from Lake E6 near Toolik Field Station, Alaska Summer 2003.

description: Time-series of temperatures were measured using self-contained temperature loggers on taut-line moorings with a subsurface float 1 m below the air-water. Data are 5 minute averages of 10 second measuremsents.
DOI: 10.6084/m9.figshare.28331690
title: Supplementary Material for: Concomitant Mosaic Turner Syndrome and Congenital Adrenal Hyperplasia in one of three patients of USP9X variant-associated Autism Spectrum Disorder

description: Abstract
Introduction: X-Linked Intellectual Developmental Disorder 99 (XLID99) is a rare neurodevelopmental disorder associated with mutations in the USP9X gene. This study reports on three patients diagnosed with autism spectrum disorder (ASD), highlighting novel genetic findings.
Case Presentation: Among the three patients, two male siblings exhibited a novel USP9X gene missense variant, while the third, a female, presented a unique deletion of the USP9X gene alongside adrenal insufficiency and mosaic Turner syndrome. This variant has not been reported in public databases and may influence ASD development.
Conclusion: This report documents the first instance of a triple diagnosis of XLID99, Turner syndrome, and congenital adrenal hyperplasia. Findings underline the significance of genetic evaluation in ASD for identifying rare and complex diagnoses.
DOI: 10.1594/pangaea.901024
title: Radiance fields of clouds and the Arctic surface measured by a digital camera during ACLOUD 2017

description: During the ACLOUD (Arctic CLoud Observations Using airborne measurements during polar Day ) campaign in May / June 2017 a downward-looking commercial digital camera equipped with a 180° - fisheye lens was installed on the aircraft Polar 5. Images of the Arctic surface and clouds were taken every 6 seconds. The data set provides rectified fields of calibrated radiances along the flight track for the three spectral bands (red, green, and blue).
DOI: 10.1594/pangaea.911389
title: Faunal abundance of stations T3, T5 and L6 from cruise Lowphox-I during December 2015, Chile
DOI: 10.1594/wdcc/cmip5.bubuhi
title: BNU-ESM model output prepared for CMIP5 historical experiment, served by ESGF

description: Project: IPCC Assessment Report 5 and Coupled Model Intercomparison Project data sets - These data belong to two projects: 1) to the Assessment Report No 5 of the International Panel on Climate Change (IPCC-AR5) and 2) to the Coupled Model Intercomparison Project No 5 (CMIP5). CMIP5 is executed by the Program for Climate Model Diagnosis and Intercomparison (PCMDI) on behalf of the World Climate Research Programme (WCRP). Most of the data is replicated between the three data nodes at the World Data Centre for Climate (WDCC), the British Atmospheric Data Centre (BADC), and the PCMDI. The project embraces the simulations with about 30 climate models of about 20 institutes worldwide. Summary: 'historical' is an experiment of the CMIP5 - Coupled Model Intercomparison Project Phase 5 (https://pcmdi.llnl.gov/mips/cmip5). CMIP5 is meant to provide a framework for coordinated climate change experiments for the next five years and thus includes simulations for assessment in the AR5 as well as others that extend beyond the AR5. 3.2 historical (3.2 Historical) - Version 1: Simulation of recent past (1850 to 2005). Impose changing conditions (consistent with observations). Experiment design: https://pcmdi.llnl.gov/mips/cmip5/experiment_design.html List of output variables: https://pcmdi.llnl.gov/mips/cmip5/datadescription.html Output: time series per variable in model grid spatial resolution in netCDF format Earth System model and the simulation information: CIM repository Entry name/title of data are specified according to the Data Reference Syntax (https://pcmdi.llnl.gov/mips/cmip5/docs/cmip5_data_reference_syntax.pdf) as activity/product/institute/model/experiment/frequency/modeling realm/MIP table/ensemble member/version number/variable name/CMOR filename.nc.
DOI: 10.1594/wdcc/cmip5.bubupc
title: BNU-ESM model output prepared for CMIP5 piControl experiment, served by ESGF

description: Project: IPCC Assessment Report 5 and Coupled Model Intercomparison Project data sets - These data belong to two projects: 1) to the Assessment Report No 5 of the International Panel on Climate Change (IPCC-AR5) and 2) to the Coupled Model Intercomparison Project No 5 (CMIP5). CMIP5 is executed by the Program for Climate Model Diagnosis and Intercomparison (PCMDI) on behalf of the World Climate Research Programme (WCRP). Most of the data is replicated between the three data nodes at the World Data Centre for Climate (WDCC), the British Atmospheric Data Centre (BADC), and the PCMDI. The project embraces the simulations with about 30 climate models of about 20 institutes worldwide. Summary: piControl is an experiment of the CMIP5 - Coupled Model Intercomparison Project Phase 5 ( https://pcmdi.llnl.gov/mips/cmip5 ). CMIP5 is meant to provide a framework for coordinated climate change experiments for the next five years and thus includes simulations for assessment in the AR5 as well as others that extend beyond the AR5. 3.1 piControl (3.1 Pre-Industrial Control) - Version 1: Pre-Industrial coupled atmosphere/ocean control run. Imposes non-evolving pre-industrial conditions. Experiment design: https://pcmdi.llnl.gov/mips/cmip5/experiment_design.html List of output variables: https://pcmdi.llnl.gov/mips/cmip5/datadescription.html Output: time series per variable in model grid spatial resolution in netCDF format Earth System model and the simulation information: CIM repository Entry name/title of data are specified according to the Data Reference Syntax ( https://pcmdi.llnl.gov/mips/cmip5/docs/cmip5_data_reference_syntax.pdf ) as activity/product/institute/model/experiment/frequency/modeling realm/MIP table/ensemble member/version number/variable name/CMOR filename.nc .
DOI: 10.1594/wdcc/cmip5.bubur8
title: BNU-ESM model output prepared for CMIP5 rcp85 experiment, served by ESGF

description: Project: IPCC Assessment Report 5 and Coupled Model Intercomparison Project data sets - These data belong to two projects: 1) to the Assessment Report No 5 of the International Panel on Climate Change (IPCC-AR5) and 2) to the Coupled Model Intercomparison Project No 5 (CMIP5). CMIP5 is executed by the Program for Climate Model Diagnosis and Intercomparison (PCMDI) on behalf of the World Climate Research Programme (WCRP). Most of the data is replicated between the three data nodes at the World Data Centre for Climate (WDCC), the British Atmospheric Data Centre (BADC), and the PCMDI. The project embraces the simulations with about 30 climate models of about 20 institutes worldwide. Summary: rcp85 is an experiment of the CMIP5 - Coupled Model Intercomparison Project Phase 5 ( https://pcmdi.llnl.gov/mips/cmip5 ). CMIP5 is meant to provide a framework for coordinated climate change experiments for the next five years and thus includes simulations for assessment in the AR5 as well as others that extend beyond the AR5. 4.2 rcp85 (4.2 RCP8.5) - Version 1: Future projection (2006-2100) forced by RCP8.5. RCP8.5 is a representative concentration pathway which approximately results in a radiative forcing of 8.5 W m-2 at year 2100, relative to pre-industrial conditions. RCPs are time-dependent, consistent projections of emissions and concentrations of radiatively active gases and particles. Experiment design: https://pcmdi.llnl.gov/mips/cmip5/experiment_design.html List of output variables: https://pcmdi.llnl.gov/mips/cmip5/datadescription.html Output: time series per variable in model grid spatial resolution in netCDF format Earth System model and the simulation information: CIM repository Entry name/title of data are specified according to the Data Reference Syntax ( https://pcmdi.llnl.gov/mips/cmip5/docs/cmip5_data_reference_syntax.pdf ) as activity/product/institute/model/experiment/frequency/modeling realm/MIP table/ensemble member/version number/variable name/CMOR filename.nc .
DOI: 10.1594/wdcc/cmip5.cce2hi
title: CanESM2 model output prepared for CMIP5 historical, served by ESGF

description: Project: IPCC Assessment Report 5 and Coupled Model Intercomparison Project data sets - These data belong to two projects:
1) to the Assessment Report No 5 of the International Panel on Climate Change (IPCC-AR5) and
2) to the Coupled Model Intercomparison Project No 5 (CMIP5).
CMIP5 is executed by the Program for Climate Model Diagnosis and Intercomparison (PCMDI) on behalf of the World Climate Research Programme (WCRP). Most of the data is replicated between the three data nodes at the World Data Centre for Climate (WDCC), the British Atmospheric Data Centre (BADC), and the PCMDI.
The project embraces the simulations with about 30 climate models of about 20 institutes worldwide.
Summary: 'historical' is an experiment of the CMIP5 - Coupled Model Intercomparison Project Phase 5
(http://cmip-pcmdi.llnl.gov/cmip5/). CMIP5 is meant to provide a framework for coordinated
climate change experiments for the next five years and thus includes simulations for
assessment in the AR5 as well as others that extend beyond the AR5.

3.2 historical (3.2 Historical) - Version 1: Simulation of recent past (1850 to 2005). Impose changing conditions (consistent with observations).

Experiment design: http://cmip-pcmdi.llnl.gov/cmip5/docs/Taylor_CMIP5_design.pdf
List of output variables: http://cmip-pcmdi.llnl.gov/cmip5/docs/standard_output.pdf
Output: time series per variable in model grid spatial resolution in netCDF format
Earth System model and the simulation information: CIM repository

Entry name/title of data are specified according to the Data Reference Syntax
(http://cmip-pcmdi.llnl.gov/cmip5/docs/cmip5_data_reference_syntax.pdf)
as activity/product/institute/model/experiment/frequency/modeling realm/MIP table/ensemble
member/version number/variable name/CMOR filename.nc.
DOI: 10.1594/wdcc/cmip5.cce2pc
title: CanESM2 model output prepared for CMIP5 piControl, served by ESGF

description: Project: IPCC Assessment Report 5 and Coupled Model Intercomparison Project data sets - These data belong to two projects:
1) to the Assessment Report No 5 of the International Panel on Climate Change (IPCC-AR5) and
2) to the Coupled Model Intercomparison Project No 5 (CMIP5).
CMIP5 is executed by the Program for Climate Model Diagnosis and Intercomparison (PCMDI) on behalf of the World Climate Research Programme (WCRP). Most of the data is replicated between the three data nodes at the World Data Centre for Climate (WDCC), the British Atmospheric Data Centre (BADC), and the PCMDI.
The project embraces the simulations with about 30 climate models of about 20 institutes worldwide.
Summary: piControl is an experiment of the CMIP5 - Coupled Model Intercomparison Project Phase 5 ( http://cmip-pcmdi.llnl.gov/cmip5/ ). CMIP5 is meant to provide a framework for coordinated climate change experiments for the next five years and thus includes simulations for assessment in the AR5 as well as others that extend beyond the AR5. 
 
3.1 piControl (3.1 Pre-Industrial Control) - Version 1: Pre-Industrial coupled atmosphere/ocean control run. Imposes non-evolving pre-industrial conditions. 
 
Experiment design: http://cmip-pcmdi.llnl.gov/cmip5/docs/Taylor_CMIP5_design.pdf  
List of output variables: http://cmip-pcmdi.llnl.gov/cmip5/docs/standard_output.pdf  
Output: time series per variable in model grid spatial resolution in netCDF format 
Earth System model and the simulation information: CIM repository 
 
Entry name/title of data are specified according to the Data Reference Syntax ( http://cmip-pcmdi.llnl.gov/cmip5/docs/cmip5_data_reference_syntax.pdf ) as activity/product/institute/model/experiment/frequency/modeling realm/MIP table/ensemble member/version number/variable name/CMOR filename.nc .
DOI: 10.1594/wdcc/cmip5.cce2r8
title: CanESM2 model output prepared for CMIP5 rcp85, served by ESGF

description: Project: IPCC Assessment Report 5 and Coupled Model Intercomparison Project data sets - These data belong to two projects:
1) to the Assessment Report No 5 of the International Panel on Climate Change (IPCC-AR5) and
2) to the Coupled Model Intercomparison Project No 5 (CMIP5).
CMIP5 is executed by the Program for Climate Model Diagnosis and Intercomparison (PCMDI) on behalf of the World Climate Research Programme (WCRP). Most of the data is replicated between the three data nodes at the World Data Centre for Climate (WDCC), the British Atmospheric Data Centre (BADC), and the PCMDI.
The project embraces the simulations with about 30 climate models of about 20 institutes worldwide.
Summary: rcp85 is an experiment of the CMIP5 - Coupled Model Intercomparison Project Phase 5 ( http://cmip-pcmdi.llnl.gov/cmip5/ ). CMIP5 is meant to provide a framework for coordinated climate change experiments for the next five years and thus includes simulations for assessment in the AR5 as well as others that extend beyond the AR5. 
 
4.2 rcp85 (4.2 RCP8.5) - Version 1: Future projection (2006-2100) forced by RCP8.5. RCP8.5 is a representative concentration pathway which approximately results in a radiative  forcing of 8.5 W m-2 at year 2100, relative to pre-industrial conditions. RCPs are time-dependent, consistent projections of emissions and concentrations  of radiatively active gases and particles. 
 
Experiment design: http://cmip-pcmdi.llnl.gov/cmip5/docs/Taylor_CMIP5_design.pdf  
List of output variables: http://cmip-pcmdi.llnl.gov/cmip5/docs/standard_output.pdf  
Output: time series per variable in model grid spatial resolution in netCDF format 
Earth System model and the simulation information: CIM repository 
 
Entry name/title of data are specified according to the Data Reference Syntax ( http://cmip-pcmdi.llnl.gov/cmip5/docs/cmip5_data_reference_syntax.pdf ) as activity/product/institute/model/experiment/frequency/modeling realm/MIP table/ensemble member/version number/variable name/CMOR filename.nc .