cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.7998280
title: Transport Starter Data Kit: Rwanda

description: This Transport Starter Data Kit contains historical annual data (1990–2021) on passenger and freight activity, segregated by mode and fuel. Additionally, historical data on energy intensities, load factors, vehicle stock, population (total, urban, rural, growth), and GDP (total, agriculture, construction, mining, manufacturing, service, energy, growth) are included in the kit, within the 'Data' tab. The historical data can be used as a foundation for transport-energy modelling and/or to identify areas of improvement. This data was verified through consultation with relevant stakeholders before publishing. The definition used for each vehicle mode is found in the 'Definitions' tab, and the description of each data observation status is found in the 'Notes' tab. All data sources are linked where possible.
DOI: 10.5281/zenodo.10409918
title: Transport Starter Data Kit: Historical socio-transport data for Sierra Leone

description: This Transport Starter Data Kit contains historical annual data (1990–2021) on passenger and freight activity, segregated by mode and fuel. Additionally, historical data on energy intensities, load factors, vehicle stock, population (total, urban, rural, growth), and GDP (total, agriculture, construction, mining, manufacturing, service, energy, growth) are included in the kit, within the 'Data' tab. The historical data can be used as a foundation for transport-energy modelling and/or to identify areas of improvement. This data was verified through consultation with relevant stakeholders before publishing. The definition used for each vehicle mode is found in the 'Definitions' tab, and the description of each data observation status is found in the 'Notes' tab. All data sources are linked where possible.
DOI: 10.5281/zenodo.7998367
title: Transport Starter Data Kit: Historical socio-transport data for Sierra Leone

description: This Transport Starter Data Kit contains historical annual data (1990–2021) on passenger and freight activity, segregated by mode and fuel. Additionally, historical data on energy intensities, load factors, vehicle stock, population (total, urban, rural, growth), and GDP (total, agriculture, construction, mining, manufacturing, service, energy, growth) are included in the kit, within the 'Data' tab. The historical data can be used as a foundation for transport-energy modelling and/or to identify areas of improvement. This data was verified through consultation with relevant stakeholders before publishing. The definition used for each vehicle mode is found in the 'Definitions' tab, and the description of each data observation status is found in the 'Notes' tab. All data sources are linked where possible.
DOI: 10.5281/zenodo.7998368
title: Transport Starter Data Kit: Sierra Leone

description: This Transport Starter Data Kit contains historical annual data (1990–2021) on passenger and freight activity, segregated by mode and fuel. Additionally, historical data on energy intensities, load factors, vehicle stock, population (total, urban, rural, growth), and GDP (total, agriculture, construction, mining, manufacturing, service, energy, growth) are included in the kit, within the 'Data' tab. The historical data can be used as a foundation for transport-energy modelling and/or to identify areas of improvement. This data was verified through consultation with relevant stakeholders before publishing. The definition used for each vehicle mode is found in the 'Definitions' tab, and the description of each data observation status is found in the 'Notes' tab. All data sources are linked where possible.
DOI: 10.6084/m9.figshare.24581856.v1
title: Data from LIM-HD transcription factors control axial patterning and specify distinct neuronal and intestinal cell identities in planarians

description: Adult planarians can regenerate the gut, eyes and even a functional brain. Proper identity and patterning of the newly formed structures require signals that guide and commit their adult stem cells. During embryogenesis, LIM-Homeodomain (LIM-HD) transcription factors act in a combinatorial ‘LIM code’ to control cell fate determination and differentiation. However, our understanding about the role these genes play during regeneration and homeostasis is limited. Here, we report the full repertoire of LIM-HD genes in <i>Schmidtea mediterranea</i>. We found that <i>lim homeobox genes (lhx)</i> appear expressed in complementary patterns along the cephalic ganglia and digestive system of the planarian, with some of them being co-expressed in the same cell types. We have identified that <i>Smed-islet1, -lhx1/5-1, -lhx2/9-3, -lhx6/8, -lmx1a/b-2</i> and -<i>lmx1a/b-3</i> are essential to pattern and size the planarian brain as well as for correct regeneration of specific subpopulations of dopaminergic, serotonergic, GABAergic and cholinergic neurons, while <i>Smed-lhx1/5.2</i> and <i>-lhx2/9.2</i> are required for the proper expression of intestinal cell type markers, specifically the goblet subtype. LIM-HD are also involved in controlling axonal pathfinding (<i>lhx6/8</i>), axial patterning (<i>islet1</i>, <i>lhx1/5-1, lmx1a/b-3</i>), head/body proportions (<i>islet2</i>) and stem cell proliferation (<i>lhx3/4, lhx2/9-3, lmx1a/b-2, lmx1a/b-3</i>). Altogether, our results suggest that planarians might present a combinatorial LIM code that controls axial patterning, axonal growing and specify distinct neuronal and intestinal cell identities.
DOI: 10.6084/m9.figshare.24874574.v1
title: File S1. from LIM-HD transcription factors control axial patterning and specify distinct neuronal and intestinal cell identities in planarians

description: Planarian lhx sequence information and single cell co-expression analysis. Sheet 1, List of planarian lhx genes transcripts ID and sequence, primers used for synthesis of ssRNA-riboprobes and for synthesis of dsRNA for RNA interference experiments. Sheet 2, Summary of the phenotypes observed in lhx RNAi experiments. Sheet 3, Tables summarizing the number of observed, expected and the difference in the observed and expected number of cells expressing a given lhx gene according to single cell data from Fincher et al., 2018 [63]. We considered that a difference bigger that 10 cells could be an indication of lhx gene co-expression and is highlighted in a green background. Red background indicates a lower than expected number of cells co-expressing a given combination of lhx genes (by more than 10 cells). Sheet 4, Tables summarizing the number of observed, expected and the difference in the observed and expected number of cells expressing genes of the anterior pole according to single cell data from Fincher et al., 2018 [63]. We considered that a difference bigger that 10 cells could be an indication of gene co-expression and is highlighted in a green background.
DOI: 10.6084/m9.figshare.24874574
title: File S1. from LIM-HD transcription factors control axial patterning and specify distinct neuronal and intestinal cell identities in planarians

description: Planarian lhx sequence information and single cell co-expression analysis. Sheet 1, List of planarian lhx genes transcripts ID and sequence, primers used for synthesis of ssRNA-riboprobes and for synthesis of dsRNA for RNA interference experiments. Sheet 2, Summary of the phenotypes observed in lhx RNAi experiments. Sheet 3, Tables summarizing the number of observed, expected and the difference in the observed and expected number of cells expressing a given lhx gene according to single cell data from Fincher et al., 2018 [63]. We considered that a difference bigger that 10 cells could be an indication of lhx gene co-expression and is highlighted in a green background. Red background indicates a lower than expected number of cells co-expressing a given combination of lhx genes (by more than 10 cells). Sheet 4, Tables summarizing the number of observed, expected and the difference in the observed and expected number of cells expressing genes of the anterior pole according to single cell data from Fincher et al., 2018 [63]. We considered that a difference bigger that 10 cells could be an indication of gene co-expression and is highlighted in a green background.
DOI: 10.5281/zenodo.10409827
title: Transport Starter Data Kit: Historical socio-transport data for Somalia

description: This Transport Starter Data Kit contains historical annual data (1990–2021) on passenger and freight activity, segregated by mode and fuel. Additionally, historical data on energy intensities, load factors, vehicle stock, population (total, urban, rural, growth), and GDP (total, agriculture, construction, mining, manufacturing, service, energy, growth) are included in the kit, within the 'Data' tab. The historical data can be used as a foundation for transport-energy modelling and/or to identify areas of improvement. This data was verified through consultation with relevant stakeholders before publishing. The definition used for each vehicle mode is found in the 'Definitions' tab, and the description of each data observation status is found in the 'Notes' tab. All data sources are linked where possible.
DOI: 10.5281/zenodo.7998431
title: Transport Starter Data Kit: Historical socio-transport data for Somalia

description: This Transport Starter Data Kit contains historical annual data (1990–2021) on passenger and freight activity, segregated by mode and fuel. Additionally, historical data on energy intensities, load factors, vehicle stock, population (total, urban, rural, growth), and GDP (total, agriculture, construction, mining, manufacturing, service, energy, growth) are included in the kit, within the 'Data' tab. The historical data can be used as a foundation for transport-energy modelling and/or to identify areas of improvement. This data was verified through consultation with relevant stakeholders before publishing. The definition used for each vehicle mode is found in the 'Definitions' tab, and the description of each data observation status is found in the 'Notes' tab. All data sources are linked where possible.
DOI: 10.5281/zenodo.7998432
title: Transport Starter Data Kit: Somalia

description: This Transport Starter Data Kit contains historical annual data (1990–2021) on passenger and freight activity, segregated by mode and fuel. Additionally, historical data on energy intensities, load factors, vehicle stock, population (total, urban, rural, growth), and GDP (total, agriculture, construction, mining, manufacturing, service, energy, growth) are included in the kit, within the 'Data' tab. The historical data can be used as a foundation for transport-energy modelling and/or to identify areas of improvement. This data was verified through consultation with relevant stakeholders before publishing. The definition used for each vehicle mode is found in the 'Definitions' tab, and the description of each data observation status is found in the 'Notes' tab. All data sources are linked where possible.
DOI: 10.25919/gcyr-3v57
title: IN2018_V07 Southern Ocean Time Series Bathymetry 10m - 210m Multi-resolution AusSeabed products

description: This layer group describes multibeam echosounder data collected on RV Investigator voyage IN2018_V07 titled "SOTS: Southern Ocean Time Series automated moorings for climate and carbon cycle studies southwest of Tasmania". The voyage took place between August 19 and August 22, 2018, departing from Hobart (TAS) and arriving in Hobart (TAS).

The purpose of this voyage was to deploy a new SOTS mooring (SOFS-7.5).

This dataset is published with the permission of CSIRO. Not to be used for navigational purposes.

The dataset contains bathymetry grids of 10m to 210m resolution of the Southern Ocean Time Series produced from the processed EM122 and EM710 bathymetry data.
DOI: 10.25919/xqpt-9j87
title: IN2021_V02 Southern Ocean Time Series Bathymetry 10m - 210m Multi-resolution AusSeabed products

description: This layer group describes multibeam echosounder data collected on RV Investigator voyage IN2021_V02 titled "SOTS: Southern Ocean Time Series automated moorings for climate and carbon cycle studies southwest of Tasmania". The voyage took place between April 14 and April 28, 2021, departing from Hobart (TAS) and arriving in Hobart (TAS).

The purpose of this voyage was to first deploy a new set of SOTS moorings (SOFS-9 and SAZ-22) and then recover the existing SOTS moorings (SOFS-8 and SAZ-21).

This dataset is published with the permission of CSIRO. Not to be used for navigational purposes.

The dataset contains bathymetry grids of 10m to 210m resolution of the Southern Ocean Time Series produced from the processed EM122 and EM710 bathymetry data.
DOI: 10.5281/zenodo.10409959
title: Transport Starter Data Kit: Historical socio-transport data for Djibouti

description: This Transport Starter Data Kit contains historical annual data (1990–2021) on passenger and freight activity, segregated by mode and fuel. Additionally, historical data on energy intensities, load factors, vehicle stock, population (total, urban, rural, growth), and GDP (total, agriculture, construction, mining, manufacturing, service, energy, growth) are included in the kit, within the 'Data' tab. The historical data can be used as a foundation for transport-energy modelling and/or to identify areas of improvement. This data was verified through consultation with relevant stakeholders before publishing. The definition used for each vehicle mode is found in the 'Definitions' tab, and the description of each data observation status is found in the 'Notes' tab. All data sources are linked where possible.
DOI: 10.5281/zenodo.7998119
title: Transport Starter Data Kit: Historical socio-transport data for Djibouti

description: This Transport Starter Data Kit contains historical annual data (1990–2021) on passenger and freight activity, segregated by mode and fuel. Additionally, historical data on energy intensities, load factors, vehicle stock, population (total, urban, rural, growth), and GDP (total, agriculture, construction, mining, manufacturing, service, energy, growth) are included in the kit, within the 'Data' tab. The historical data can be used as a foundation for transport-energy modelling and/or to identify areas of improvement. This data was verified through consultation with relevant stakeholders before publishing. The definition used for each vehicle mode is found in the 'Definitions' tab, and the description of each data observation status is found in the 'Notes' tab. All data sources are linked where possible.
DOI: 10.5281/zenodo.7998120
title: Transport Starter Data Kit: Djibouti

description: This Transport Starter Data Kit contains historical annual data (1990–2021) on passenger and freight activity, segregated by mode and fuel. Additionally, historical data on energy intensities, load factors, vehicle stock, population (total, urban, rural, growth), and GDP (total, agriculture, construction, mining, manufacturing, service, energy, growth) are included in the kit, within the 'Data' tab. The historical data can be used as a foundation for transport-energy modelling and/or to identify areas of improvement. This data was verified through consultation with relevant stakeholders before publishing. The definition used for each vehicle mode is found in the 'Definitions' tab, and the description of each data observation status is found in the 'Notes' tab. All data sources are linked where possible.
DOI: 10.5281/zenodo.10409964
title: Transport Starter Data Kit: Historical socio-transport data for Egypt

description: This Transport Starter Data Kit contains historical annual data (1990–2021) on passenger and freight activity, segregated by mode and fuel. Additionally, historical data on energy intensities, load factors, vehicle stock, population (total, urban, rural, growth), and GDP (total, agriculture, construction, mining, manufacturing, service, energy, growth) are included in the kit, within the 'Data' tab. The historical data can be used as a foundation for transport-energy modelling and/or to identify areas of improvement. This data was verified through consultation with relevant stakeholders before publishing. The definition used for each vehicle mode is found in the 'Definitions' tab, and the description of each data observation status is found in the 'Notes' tab. All data sources are linked where possible.
DOI: 10.5281/zenodo.7998092
title: Transport Starter Data Kit: Historical socio-transport data for Egypt

description: This Transport Starter Data Kit contains historical annual data (1990–2021) on passenger and freight activity, segregated by mode and fuel. Additionally, historical data on energy intensities, load factors, vehicle stock, population (total, urban, rural, growth), and GDP (total, agriculture, construction, mining, manufacturing, service, energy, growth) are included in the kit, within the 'Data' tab. The historical data can be used as a foundation for transport-energy modelling and/or to identify areas of improvement. This data was verified through consultation with relevant stakeholders before publishing. The definition used for each vehicle mode is found in the 'Definitions' tab, and the description of each data observation status is found in the 'Notes' tab. All data sources are linked where possible.
DOI: 10.5281/zenodo.7998093
title: Transport Starter Data Kit: Egypt

description: This Transport Starter Data Kit contains historical annual data (1990–2021) on passenger and freight activity, segregated by mode and fuel. Additionally, historical data on energy intensities, load factors, vehicle stock, population (total, urban, rural, growth), and GDP (total, agriculture, construction, mining, manufacturing, service, energy, growth) are included in the kit, within the 'Data' tab. The historical data can be used as a foundation for transport-energy modelling and/or to identify areas of improvement. This data was verified through consultation with relevant stakeholders before publishing. The definition used for each vehicle mode is found in the 'Definitions' tab, and the description of each data observation status is found in the 'Notes' tab. All data sources are linked where possible.
DOI: 10.14272/hrvqmqwvgkydcf-uhfffaoysa-n.1
title: 1-(4-methyl-2-pyridyl)ethanone
title: InChI=1S/C8H9NO/c1-6-3-4-9-8(5-6)7(2)10/h3-5H,1-2H3

description: This is a physical chemical entity[CHEBI_24431] associated with a molecule[CHEBI_25367].
 The molecule[CHEBI_25367] can be described by the following structural desciptors[cheminf_000085]:
 InChI descriptor[cheminf_000113]: InChI=1S/C8H9NO/c1-6-3-4-9-8(5-6)7(2)10/h3-5H,1-2H3, and canonical SMILES descriptor[cheminf_000007]: Cc1ccnc(c1)C(=O)C, and by the IUPAC name[cheminf_000107]: 1-(4-methylpyridin-2-yl)ethanone.
 
 The physical chemical entity[CHEBI_24431] has a component solvent[CHEBI_46787] which is described by the canonical SMILES descriptor[cheminf_000007]:
 
 The physical chemical entity[CHEBI_24431] has the following Sample ID as registered in the research data repository chemotion (www.chemotion-repository.net, https://doi.org/10.25504/FAIRsharing.iagXcR): CRS-37785

 The physical chemical entity[CHEBI_24431] can be described by the physical descriptors [CHEMINF_000025]:
 Melting point descriptor[CHEMINF_000256]: 
 Boiling point descriptor[CHEMINF_000257]: 
 Refractive index descriptor[CHEMINF_000253]:

 The physical chemical entity[CHEBI_24431] can be further described by the following assays[OBI:0000070][CHMO:0001133]:
 
 CHMO:0000596 | distortionless enhancement with polarization transfer (DEPT)
 
 CHMO:0000593 | 1H nuclear magnetic resonance spectroscopy (1H NMR)
 
 CHMO:0000595 | 13C nuclear magnetic resonance spectroscopy (13C NMR)
 
 CHMO:0000596 | distortionless enhancement with polarization transfer (DEPT)
 
 CHMO:0000599 | correlation spectroscopy (COSY)
 
 CHMO:0000604 | heteronuclear single quantum coherence (HSQC)
 
 CHMO:0000601 | heteronuclear multiple bond coherence (HMBC)
 
 The physical chemical entity[CHEBI_24431] was deposited to the Molecule Archive of the Karlsruhe Insitute of Technology (KIT) with the following Sample ID: 

 Used ontologies:
 CHEBI - Chemical Entities of Biological Interest
 CHEMINF - chemical information ontology (information entities about chemical entities)
 CHMO - Chemical Methods Ontology
 OBI - Ontology for Biomedical Investigations
DOI: 10.14272/hrvqmqwvgkydcf-uhfffaoysa-n/chmo0000595
title: 13C nuclear magnetic resonance spectroscopy (13C NMR) (1-(4-methylpyridin-2-yl)ethanone)
title: InChI=1S/C8H9NO/c1-6-3-4-9-8(5-6)7(2)10/h3-5H,1-2H3

description: dataset for 13C nuclear magnetic resonance spectroscopy (13C NMR)
 
 13C NMR (100 MHz, Chloroform-d [77.2 ppm], ppm) δ = 200.5 (Cq), 153.6 (Cq), 148.9 (CH), 148.3 (Cq), 128.1 (CH), 122.6 (CH), 26.0 (CH3), 21.2 (CH3).
DOI: 10.14272/hrvqmqwvgkydcf-uhfffaoysa-n/chmo0000596
title: distortionless enhancement with polarization transfer (DEPT) (1-(4-methylpyridin-2-yl)ethanone)
title: InChI=1S/C8H9NO/c1-6-3-4-9-8(5-6)7(2)10/h3-5H,1-2H3

description: dataset for distortionless enhancement with polarization transfer (DEPT)
DOI: 10.14272/hrvqmqwvgkydcf-uhfffaoysa-n/chmo0000596.1
title: distortionless enhancement with polarization transfer (DEPT) (1-(4-methylpyridin-2-yl)ethanone)
title: InChI=1S/C8H9NO/c1-6-3-4-9-8(5-6)7(2)10/h3-5H,1-2H3

description: dataset for distortionless enhancement with polarization transfer (DEPT)
DOI: 10.14272/hrvqmqwvgkydcf-uhfffaoysa-n/chmo0000593
title: 1H nuclear magnetic resonance spectroscopy (1H NMR) (1-(4-methylpyridin-2-yl)ethanone)
title: InChI=1S/C8H9NO/c1-6-3-4-9-8(5-6)7(2)10/h3-5H,1-2H3

description: dataset for 1H nuclear magnetic resonance spectroscopy (1H NMR)
 
 1H NMR (400 MHz, DMSO-d6 [2.50 ppm], ppm) δ = 8.57 (d, J = 4.9 Hz, 1H), 7.79 (t, J = 0.9 Hz, 1H), 7.48 (ddd, J = 4.9 Hz, J = 1.7 Hz, J = 0.7 Hz, 1H), 2.61 (s, 3H), 2.40 (s, 3H).
DOI: 10.14272/hrvqmqwvgkydcf-uhfffaoysa-n/chmo0000599
title: correlation spectroscopy (COSY) (1-(4-methylpyridin-2-yl)ethanone)
title: InChI=1S/C8H9NO/c1-6-3-4-9-8(5-6)7(2)10/h3-5H,1-2H3

description: dataset for correlation spectroscopy (COSY)
DOI: 10.14272/hrvqmqwvgkydcf-uhfffaoysa-n/chmo0000604
title: heteronuclear single quantum coherence (HSQC) (1-(4-methylpyridin-2-yl)ethanone)
title: InChI=1S/C8H9NO/c1-6-3-4-9-8(5-6)7(2)10/h3-5H,1-2H3

description: dataset for heteronuclear single quantum coherence (HSQC)
DOI: 10.14272/hrvqmqwvgkydcf-uhfffaoysa-n/chmo0000601
title: heteronuclear multiple bond coherence (HMBC) (1-(4-methylpyridin-2-yl)ethanone)
title: InChI=1S/C8H9NO/c1-6-3-4-9-8(5-6)7(2)10/h3-5H,1-2H3

description: dataset for heteronuclear multiple bond coherence (HMBC)
DOI: 10.5281/zenodo.10409972
title: Transport Starter Data Kit: Historical socio-transport data for Equatorial Guinea

description: This Transport Starter Data Kit contains historical annual data (1990–2021) on passenger and freight activity, segregated by mode and fuel. Additionally, historical data on energy intensities, load factors, vehicle stock, population (total, urban, rural, growth), and GDP (total, agriculture, construction, mining, manufacturing, service, energy, growth) are included in the kit, within the 'Data' tab. The historical data can be used as a foundation for transport-energy modelling and/or to identify areas of improvement. This data was verified through consultation with relevant stakeholders before publishing. The definition used for each vehicle mode is found in the 'Definitions' tab, and the description of each data observation status is found in the 'Notes' tab. All data sources are linked where possible.