cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.8060091
title: Transport Starter Data Kit: Eswatini

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.7337843
title: The ecological memory of fish assemblages in agroecosystems with different history of landscape changes

description: Here, we presented the data (local, past and response) and R code (models_Zeni et al.) we used to investigate the relationship between past land use changes and instream habitat (explanatory variables) and fish biodiversity patterns (response variables) in streams from different regions in Brazil. 
description: The dataset used in this study was obtained due to the financial support from São Paulo Research Foundation (FAPESP): Grants nº: 10/17494‐8; 12/05983‐0; and 16/01535‐3. FAPESP also provided funding to JOZ (grant nº 18/06033-1), GLB (grant nº 18/11954-9) and to TS (grant nº 19/04033-7 and 21/00619-7). And, Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq) provided fellowship to LC (grant nº 304403/2021-0) and to TS (grant nº 309496/2021-7)
DOI: 10.5281/zenodo.7337844
title: The ecological memory of fish assemblages in agroecosystems with different history of landscape changes

description: Here, we presented the data (local, past and response) and R code (models_Zeni et al.) we used to investigate the relationship between past land use changes and instream habitat (explanatory variables) and fish biodiversity patterns (response variables) in streams from different regions in Brazil. 
description: The dataset used in this study was obtained due to the financial support from São Paulo Research Foundation (FAPESP): Grants nº: 10/17494‐8; 12/05983‐0; and 16/01535‐3. FAPESP also provided funding to JOZ (grant nº 18/06033-1), GLB (grant nº 18/11954-9) and to TS (grant nº 19/04033-7 and 21/00619-7). And, Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq) provided fellowship to LC (grant nº 304403/2021-0) and to TS (grant nº 309496/2021-7)
DOI: 10.6084/m9.figshare.24805704
title: Database

description: Database of all data used on the paper. Lopezosa et al. (in press). Land use determines Mediterranean ecosystems´ multifunctionality more than plant richness or habitat composition. Journal of Applied Ecology.
DOI: 10.5281/zenodo.10409786
title: Transport Starter Data Kit: Historical socio-transport data for Uganda

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.7998535
title: Transport Starter Data Kit: Historical socio-transport data for Uganda

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.7998536
title: Transport Starter Data Kit: Uganda

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.10409803
title: Transport Starter Data Kit: Historical socio-transport data for Tunisia

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.7998519
title: Transport Starter Data Kit: Historical socio-transport data for Tunisia

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.7998520
title: Transport Starter Data Kit: Tunisia

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.10409809
title: Transport Starter Data Kit: Historical socio-transport data for Togo

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.7998501
title: Transport Starter Data Kit: Historical socio-transport data for Togo

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.7998502
title: Transport Starter Data Kit: Togo

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.10409810
title: Transport Starter Data Kit: Historical socio-transport data for Sudan

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.7998468
title: Transport Starter Data Kit: Historical socio-transport data for Sudan

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.7998469
title: Transport Starter Data Kit: Sudan

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.10409761
title: Dataset & Statistics - CrystalBall

description: Dataset and statistics for the Crystal Ball study (https://github.com/Mass23/CrystalBall).
DOI: 10.5281/zenodo.10409762
title: Dataset & Statistics - CrystalBall

description: Dataset and statistics for the Crystal Ball study (https://github.com/Mass23/CrystalBall).
DOI: 10.5281/zenodo.8074041
title: Planetary Boundaries Analysis of Low-Carbon Ammonia Production Routes

description: Dataset associated with the publication "Planetary Boundaries Analysis of Low-Carbon Ammonia Production Routes" by Sebastiano C. D'Angelo, Selene Cobo, Abhinandan Nabera, Antonio J. Martín, Javier Pérez-Ramírez, and Gonzalo Guillén-Gosálbez, available at https://doi.org/10.1021/acssuschemeng.1c01915. The dataset includes the numeric data required to plot all the figures embedded in the main manuscript and in the Supporting Information (SI), as well as the tables presented in the SI converted in a machine-readable format.

The structure of the dataset is here elucidated sheet by sheet:



LCA-Total: numerical values associated with the total share of safe operating space for all the assessed control variables of the seven planetary boundaries quantified in the study, for all the considered scenarios. The results are presented for the three different downscaling approaches considered in the study. The global warming impacts for all the scenarios, calculated with the ReCiPe 2016 methodology (hierarchist approach), are here reported, as well.

LCA-Breakdown: numerical values associated with the breakdown of the environmental impacts for the selection of scenarios reported in the main manuscript, for all the assessed control variables.

Economics: numerical values associated with the breakdown of the economic impacts reported in the main manuscript, for all the assessed scenarios.

SI-Tables-LCI: tables reported in the SI associated with the environmental assessment of all the scenarios.

SI-Tables-Economics: tables reported in the SI associated with the economic assessment of all the scenarios.
DOI: 10.5281/zenodo.8074042
title: Planetary Boundaries Analysis of Low-Carbon Ammonia Production Routes

description: Dataset associated with the publication "Planetary Boundaries Analysis of Low-Carbon Ammonia Production Routes" by Sebastiano C. D'Angelo, Selene Cobo, Abhinandan Nabera, Antonio J. Martín, Javier Pérez-Ramírez, and Gonzalo Guillén-Gosálbez, available at https://doi.org/10.1021/acssuschemeng.1c01915. The dataset includes the numeric data required to plot all the figures embedded in the main manuscript and in the Supporting Information (SI), as well as the tables presented in the SI converted in a machine-readable format.

The structure of the dataset is here elucidated sheet by sheet:



LCA-Total: numerical values associated with the total share of safe operating space for all the assessed control variables of the seven planetary boundaries quantified in the study, for all the considered scenarios. The results are presented for the three different downscaling approaches considered in the study. The global warming impacts for all the scenarios, calculated with the ReCiPe 2016 methodology (hierarchist approach), are here reported, as well.

LCA-Breakdown: numerical values associated with the breakdown of the environmental impacts for the selection of scenarios reported in the main manuscript, for all the assessed control variables.

Economics: numerical values associated with the breakdown of the economic impacts reported in the main manuscript, for all the assessed scenarios.

SI-Tables-LCI: tables reported in the SI associated with the environmental assessment of all the scenarios.

SI-Tables-Economics: tables reported in the SI associated with the economic assessment of all the scenarios.
DOI: 10.5281/zenodo.7998447
title: Transport Starter Data Kit: South Sudan

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.10409822
title: Transport Starter Data Kit: Historical socio-transport data for South Sudan

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.7998446
title: Transport Starter Data Kit: Historical socio-transport data for South Sudan

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.10407778
title: Identification and expression of short neuropeptide F and its receptors in the tick Ixodes ricinus

description: The open datasets include raw data covering results published in paper by Medla et al., 2023 (https://doi.org/10.1016/j.jinsphys.2023.104524)
description: In Europe, the tick Ixodes ricinus is the most important vector of numerous pathogens that are transmitted during blood feeding on their vertebrate hosts. To elucidate mechanisms controlling blood intake and associated transmission of pathogens we identified and described expression of short neuropeptide F (sNPF) and its receptors which are known to regulate feeding in insects. Using in situ hybridization (ISH) and immunohistochemistry (IHC) we stained numerous neurons producing sNPF in the central nervous system (CNS; synganglion), while a few peripheral neurons were detected anteriorly to the synganglion, and on the surface of the hindgut and leg muscles. Apparent sNPF expression was also found in enteroendocrine cells individually scattered in anterior lobes of the midgut. In silico analyses and BLAST search for sNPF receptors revealed two putative G protein-coupled receptors (sNPFR1 and sNPFR2) in the I. ricinus genome. Aequorin-based functional assay in CHO cells showed that both receptors were specific and sensitive to sNPF in nanomolar concentrations. Increased expression levels of these receptors in the gut during blood intake suggest that sNPF signaling may be involved in regulation of feeding and digestion processes of I. ricinus.
description: This project has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Sklodowska-Curie grant agreement No 101030179.
DOI: 10.5281/zenodo.10407779
title: Identification and expression of short neuropeptide F and its receptors in the tick Ixodes ricinus

description: The open datasets include raw data covering results published in paper by Medla et al., 2023 (https://doi.org/10.1016/j.jinsphys.2023.104524)
description: In Europe, the tick Ixodes ricinus is the most important vector of numerous pathogens that are transmitted during blood feeding on their vertebrate hosts. To elucidate mechanisms controlling blood intake and associated transmission of pathogens we identified and described expression of short neuropeptide F (sNPF) and its receptors which are known to regulate feeding in insects. Using in situ hybridization (ISH) and immunohistochemistry (IHC) we stained numerous neurons producing sNPF in the central nervous system (CNS; synganglion), while a few peripheral neurons were detected anteriorly to the synganglion, and on the surface of the hindgut and leg muscles. Apparent sNPF expression was also found in enteroendocrine cells individually scattered in anterior lobes of the midgut. In silico analyses and BLAST search for sNPF receptors revealed two putative G protein-coupled receptors (sNPFR1 and sNPFR2) in the I. ricinus genome. Aequorin-based functional assay in CHO cells showed that both receptors were specific and sensitive to sNPF in nanomolar concentrations. Increased expression levels of these receptors in the gut during blood intake suggest that sNPF signaling may be involved in regulation of feeding and digestion processes of I. ricinus.
description: This project has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Sklodowska-Curie grant agreement No 101030179.