cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.2551419
title: Perceived increases of fish species in the Mediterranean sea: data from a joint LEK initiative.

description: The dataset was collected with the the Mediterranean LEK initiative. The initiative was initially conceived by the international basin-wide monitoring program <em>CIESM Tropical Signals</em> (funded by the Albert II of Monaco Foundation) and subsequently adopted by the projects BALMAS (Ballast Water Management System for Adriatic Sea Protection, IPA Adriatic Cross-Border Cooperation Programme; <em>FAO-AdriaMed</em> and <em>FAO-MedSudMed</em>. This action was recently supported by the Interreg Med Programme (Grant number Pr MPA-Adapt 1MED15_3.2_M2_337) 85% co-funded by the European Regional Development Fund, which implemented the use of standard LEK protocols for Marine Protected areas and partially supported the writing of this publication.

Data refers to self-reported trends of various fish species, which were regarded as increaseing by a sample of fishermen from various Mediterranean countries. Interviews were elicited from fishermen through semi-structured protocols (see Azzurro et al., 2011).
description: The project was co-funded by the European Union through Grant number Pr MPA-Adapt 1MED15_3.2_M2_337
description: {"references": ["Azzurro, E., Moschella, P., & Maynou, F. (2011). Tracking signals of change in Mediterranean fish diversity based on local ecological knowledge. PLoS One, 6(9), e24885."]}
DOI: 10.5281/zenodo.2551420
title: Perceived increases of fish species in the Mediterranean sea: data from a joint LEK initiative.

description: The dataset was collected with the the Mediterranean LEK initiative. The initiative was initially conceived by the international basin-wide monitoring program <em>CIESM Tropical Signals</em> (funded by the Albert II of Monaco Foundation) and subsequently adopted by the projects BALMAS (Ballast Water Management System for Adriatic Sea Protection, IPA Adriatic Cross-Border Cooperation Programme; <em>FAO-AdriaMed</em> and <em>FAO-MedSudMed</em>. This action was recently supported by the Interreg Med Programme (Grant number Pr MPA-Adapt 1MED15_3.2_M2_337) 85% co-funded by the European Regional Development Fund, which implemented the use of standard LEK protocols for Marine Protected areas and partially supported the writing of this publication.

Data refers to self-reported trends of various fish species, which were regarded as increaseing by a sample of fishermen from various Mediterranean countries. Interviews were elicited from fishermen through semi-structured protocols (see Azzurro et al., 2011).
description: The project was co-funded by the European Union through Grant number Pr MPA-Adapt 1MED15_3.2_M2_337
description: {"references": ["Azzurro, E., Moschella, P., & Maynou, F. (2011). Tracking signals of change in Mediterranean fish diversity based on local ecological knowledge. PLoS One, 6(9), e24885."]}
DOI: 10.5281/zenodo.2551053
title: Dataset for the paper: "Di Felice, L.J.; Ripa, M.; Giampietro, M. Deep Decarbonisation from a Biophysical Perspective: GHG Emissions of a Renewable Electricity Transformation in the EU."

description: Dataset used for the development of scenarios in the publication "Di Felice, L.J.; Ripa, M.; Giampietro, M. Deep Decarbonisation from a Biophysical Perspective: GHG Emissions of a Renewable Electricity Transformation in the EU. Sustainability 2018, 10, 3685." and used for a case study in "Di Felice L., Dunlop T., Giampietro M., Kovacic Z., Renner A., Ripa M., Velasco-Fernández R. – Report on the Quality Check of the Robustness of the Narrative behind Energy Directives. MAGIC (H2020–GA 689669) Project Deliverable 5.4, 30 November 2018". (link: https://magic-nexus.eu/documents/d54-report-narratives-behind-energy-directives).

Sources of other secondary data (from papers, reports) specified in the dataset (under tab "input codes")
DOI: 10.5281/zenodo.2551054
title: Dataset for the paper: "Di Felice, L.J.; Ripa, M.; Giampietro, M. Deep Decarbonisation from a Biophysical Perspective: GHG Emissions of a Renewable Electricity Transformation in the EU."

description: Dataset used for the development of scenarios in the publication "Di Felice, L.J.; Ripa, M.; Giampietro, M. Deep Decarbonisation from a Biophysical Perspective: GHG Emissions of a Renewable Electricity Transformation in the EU. Sustainability 2018, 10, 3685." and used for a case study in "Di Felice L., Dunlop T., Giampietro M., Kovacic Z., Renner A., Ripa M., Velasco-Fernández R. – Report on the Quality Check of the Robustness of the Narrative behind Energy Directives. MAGIC (H2020–GA 689669) Project Deliverable 5.4, 30 November 2018". (link: https://magic-nexus.eu/documents/d54-report-narratives-behind-energy-directives).

Sources of other secondary data (from papers, reports) specified in the dataset (under tab "input codes")
DOI: 10.15129/bf5721fb-d4f7-4c85-baf0-ef28d4118309
title: Data for: "High-Throughput Screening of Excipients with a Biological Effect: A Kinetic Study on the Effects of Surfactants on Efflux-Mediated Transport"

description: This data supports a study where, we develop and apply a high-throughput screening protocol to investigate the activities of non-ionic surfactants, with a broad range of hydrophilic-lipophilic balance values, against ABCB1- and ABCC2-mediated efflux transport. To achieve this Caco-2 cells were grown for 7 days in 96 well plates, then washed and incubated with the test materials for 2 h in the presence of 2.5 µM of either rhodamine 123 (R-123) or 5(6)-Carboxy-2’, 7’ dichlorofluorescein diacetate as probes of ABCB1 and ABCC2 respectively. Within the work we find that of the surfactants tested, no activity against ABCC2 was detected and all surfactants showing efficacy against ABCB1 had a HLB value of 22 or below. Inhibition of ABCB1 was seen in the order of efficacy to be poloxamer 335 &gt; poloxamer 40 &gt; Crovol A-70 &gt; Myrj S-40 &gt; poloxamer 184 &gt; poloxamer 182 &gt; Etocas 40 &gt; Tween 20 &gt; Etocas 29 &gt; Tween 80 &gt; Acconon C-44 &gt; Span 20. With regard to this inhibition, the distribution of hydrophilic regions is more important than the HLB value. 
This work demonstrates a high-throughput protocol for detecting materials that can modulate ABCB1-mediated efflux. These surfactants could be exploited to improve oral delivery of drugs prone to efflux. 

The data included in this data set is represented in two figures: 
Figure 1. The IC50 curves of inhibitors of efflux proteins, showing activity against A) ABCB1 and B) ABCC2. Caco-2 cells were grown for 5-7 days on 96-well plates prior to experimentation. Data presented as each of a minimum of 4 replicates from 2.5 μM initial extracellular concentration of either R-123 or CDFDA as probes of ABCB1 and ABCC2 activity respectively.

Figure 2. Percentage inhibition curves of various surfactants against ABCB1 showing A) Poloxamer 182, B) Span 20, C) Crovol A70, D) Etocas 29, E) Poloxamer 184, F) Etocas 40, G) Acconon C44, H) Tween 80, I) Tween 20, J) Myrj S40, K) Poloxamer 407 and L) Poloxamer 335. Sigmoidal curves were constructed from 4 different passage numbers on confluent Caco-2 monolayers grown on 96 well plates for 5-7 days and are shown pooled from a minimum of 4 replicates per concentration. Data presented as a function of overall R-123 uptake for ABCB1 with initial conditions of 2.5 µM extracellular tracer dye per well, with excipient-free control wells set to 100 % transporter activity.
DOI: 10.5517/ccdc.csd.cc1pfg5r
title: CCDC 1562064: Experimental Crystal Structure Determination

description: Related Article: Talal F. Al-Azemi, Mickey Vinodh, Fatemeh H. Alipour, Abdirahman A. Mohamod|2019|Org.Chem.Front.|6|603|doi:10.1039/C8QO01343H
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: 10.5517/ccdc.csd.cc1pfg6s
title: CCDC 1562065: Experimental Crystal Structure Determination

description: Related Article: Talal F. Al-Azemi, Mickey Vinodh, Fatemeh H. Alipour, Abdirahman A. Mohamod|2019|Org.Chem.Front.|6|603|doi:10.1039/C8QO01343H
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: 10.18750/inventory.sgi2010.r2010
title: Swiss Glacier Inventory 2010

description: The Swiss Glacier Inventory 2010 provides areas and outlines of all glaciers in Switzerland referring to the years 2008-2011. The data are based on aerial imagery and are delivered as a shapefile.
DOI: 10.17632/76s6sjyzk5.5
title: Data for: Post-caldera pumice cones of the Payún Matrú caldera, Payenia, Argentina: morphology and deposits characteristics

description: Whole-rock chemical analyses of samples of pumice cones located in the Payún Matrú caldera, Payenia, Argentina
DOI: 10.17632/c499x2j9fy.1
title: Data for: Vibration characteristics of Cylindrical Shell filled with Fluid based on first order shell theory

description: In the file, fixed length is the data of the section 'Effect of thickness' and fixed thickness is the data of the section 'Effect of length' .
DOI: 10.18750/inventory.sgi1850.r1992
title: Swiss Glacier Inventory 1850

description: The Swiss Glacier Inventory 1850 provides areas and outlines of all glaciers in Switzerland referring to the year 1850. The data are based on historical maps and geomorphological evidence and are delivered as a shapefile.
DOI: 10.5281/zenodo.2551070
title: Dataset: Language and semantic processing in blind and sighted individuals. A simulation study

description: -------------------<br>
GENERAL INFORMATION<br>
-------------------

1. Title of Dataset <br>
    <br>
Dataset_SimulationsOutput_BlindvsSightedModels<br>
    <br>
2. Author Information

This dataset is being made public to act as supplementary data for publication. Running title: 

R. Tomasello, M. Garagnani, T. Wennekers, and F. Pulvermüller, Recruitment of visual cortex for language processing in blind individuals is explained by Hebbian learning.

  Corresponding author:<br>
        Name:             Rosario Tomasello <br>
        Institution:     Brain Language Laboratory, Freie Universität Berlin<br>
        Address:         Habelschwerdter Allee 45, 14195 Berlin<br>
        Email:             Tomasello.r@fu-berlin.de

--------------------------<br>
RESEARCH PROJECT & METHODOLOGICAL INFORMATION<br>
--------------------------

The data were generated by a neurobiologically constrained cortex model of the fronto-temporal-occipital lobes applied to simulate word meaning acquisition of object- and action-related words in action and perception system under undeprived and visually deprived conditions. The purpose of this study was to investigate how and why the visual system is recruited for language processing in blind individuals, as documented by neurocognitive empirical experiments.

The files listed above shows the cell assemblies (CA) distributions across the different cortical areas spontaneously emerged as a result of Hebbian learning. For more information about the general features of the model see our previous publications:

R. Tomasello, M. Garagnani, T. Wennekers, and F. Pulvermüller, (2018) A Neurobiologically Constrained Cortex Model of Semantic Grounding With Spiking Neurons and Brain-Like Connectivity, Front. Comput. Neurosci., vol. 12, p. 88.

M. Garagnani, G. Lucchese, R. Tomasello, T. Wennekers, and F. Pulvermüller, (2017) A Spiking Neurocomputational Model of High-Frequency Oscillatory Brain Responses to Words and Pseudowords, Front. Comput. Neurosci., vol. 10, no. January, pp. 1–19.

<br>
---------------------<br>
DATA & FILE OVERVIEW<br>
---------------------

<br>
1. File List<br>
   <br>
    Filename: CA_Structure_Blind VS SightedModel.xlsx (size 150KB)     <br>
    <br>
The excel file includes the cell assembly (CA) distributions of the learnt action and object words of both sighted and blind models along with their CA structure comparisons and the related figures. <br>
        <br>
    Folders: Raw_Data_SightedModel (size 6KB) & Raw_Data_BlindModel (size 6KB)<br>
      <br>
These folders include the raw data output of the CA structure of the 13 sighted and 13 blind simulated models after word meaning acquisition.
DOI: 10.5281/zenodo.2551071
title: Dataset: Language and semantic processing in blind and sighted individuals. A simulation study

description: -------------------<br>
GENERAL INFORMATION<br>
-------------------

1. Title of Dataset <br>
    <br>
Dataset_SimulationsOutput_BlindvsSightedModels<br>
    <br>
2. Author Information

This dataset is being made public to act as supplementary data for publication. Running title: 

R. Tomasello, M. Garagnani, T. Wennekers, and F. Pulvermüller, Recruitment of visual cortex for language processing in blind individuals is explained by Hebbian learning.

  Corresponding author:<br>
        Name:             Rosario Tomasello <br>
        Institution:     Brain Language Laboratory, Freie Universität Berlin<br>
        Address:         Habelschwerdter Allee 45, 14195 Berlin<br>
        Email:             Tomasello.r@fu-berlin.de

--------------------------<br>
RESEARCH PROJECT & METHODOLOGICAL INFORMATION<br>
--------------------------

The data were generated by a neurobiologically constrained cortex model of the fronto-temporal-occipital lobes applied to simulate word meaning acquisition of object- and action-related words in action and perception system under undeprived and visually deprived conditions. The purpose of this study was to investigate how and why the visual system is recruited for language processing in blind individuals, as documented by neurocognitive empirical experiments.

The files listed above shows the cell assemblies (CA) distributions across the different cortical areas spontaneously emerged as a result of Hebbian learning. For more information about the general features of the model see our previous publications:

R. Tomasello, M. Garagnani, T. Wennekers, and F. Pulvermüller, (2018) A Neurobiologically Constrained Cortex Model of Semantic Grounding With Spiking Neurons and Brain-Like Connectivity, Front. Comput. Neurosci., vol. 12, p. 88.

M. Garagnani, G. Lucchese, R. Tomasello, T. Wennekers, and F. Pulvermüller, (2017) A Spiking Neurocomputational Model of High-Frequency Oscillatory Brain Responses to Words and Pseudowords, Front. Comput. Neurosci., vol. 10, no. January, pp. 1–19.

<br>
---------------------<br>
DATA & FILE OVERVIEW<br>
---------------------

<br>
1. File List<br>
   <br>
    Filename: CA_Structure_Blind VS SightedModel.xlsx (size 150KB)     <br>
    <br>
The excel file includes the cell assembly (CA) distributions of the learnt action and object words of both sighted and blind models along with their CA structure comparisons and the related figures. <br>
        <br>
    Folders: Raw_Data_SightedModel (size 6KB) & Raw_Data_BlindModel (size 6KB)<br>
      <br>
These folders include the raw data output of the CA structure of the 13 sighted and 13 blind simulated models after word meaning acquisition.
DOI: 10.5061/dryad.1m04tv1/1
title: Fenberg&Rivadeneira_ELE_Data

description: Data for the (1) the distribution and size of each habitat gap along the transect; (2), the % of rocky shore within each bin, categorised by the centre and edge sections of each biogeographic region and across all regions, and by whether a bin is tropical/extratropical; (3) Environmental data for the random forest analyses, including habitat continuity; (4) the species presence/absence matrix; (5) range extent data for each species totally within the transect; (6) species richness across the transect.
DOI: 10.5281/zenodo.2551107
title: Dataset for paper "Equatorial propagation of the magnetosonic mode across the plasmapause: 2-D PIC simulations"

description: Dataset used to produce figures in the paper "Equatorial propagation of the magnetosonic mode across the plasmapause: 2-D PIC simulations"
DOI: 10.5281/zenodo.2551108
title: Dataset for paper "Equatorial propagation of the magnetosonic mode across the plasmapause: 2-D PIC simulations"

description: Dataset used to produce figures in the paper "Equatorial propagation of the magnetosonic mode across the plasmapause: 2-D PIC simulations"
DOI: 10.5517/ccdc.csd.cc1ystn6
title: CCDC 1811319: Experimental Crystal Structure Determination

description: Related Article: Daniel Czajkowski, Ilka Simon, Walter Frank|2019|Z.Anorg.Allg.Chem.|645|402|doi:10.1002/zaac.201800470
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: 10.5517/ccdc.csd.cc1ystp7
title: CCDC 1811320: Experimental Crystal Structure Determination

description: Related Article: Daniel Czajkowski, Ilka Simon, Walter Frank|2019|Z.Anorg.Allg.Chem.|645|402|doi:10.1002/zaac.201800470
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: 10.5517/ccdc.csd.cc1ystq8
title: CCDC 1811321: Experimental Crystal Structure Determination

description: Related Article: Daniel Czajkowski, Ilka Simon, Walter Frank|2019|Z.Anorg.Allg.Chem.|645|402|doi:10.1002/zaac.201800470
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: 10.5517/ccdc.csd.cc1ystr9
title: CCDC 1811322: Experimental Crystal Structure Determination

description: Related Article: Daniel Czajkowski, Ilka Simon, Walter Frank|2019|Z.Anorg.Allg.Chem.|645|402|doi:10.1002/zaac.201800470
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: 10.18750/volumechange.2018.r2018
title: Swiss Glacier Volume Change (release 2018)
DOI: 10.5281/zenodo.2551455
title: Lithuania RDF assets

description: These files are the result of the data conversion efforts made during the Open Government Intelligence Project. Specifically, these files correspond to the Lithuanian Pilot.
DOI: 10.5281/zenodo.2551454
title: Lithuania RDF assets

description: These files are the result of the data conversion efforts made during the Open Government Intelligence Project. Specifically, these files correspond to the Lithuanian Pilot.
DOI: 10.5517/ccdc.csd.cc1m6331
title: CCDC 1495412: Experimental Crystal Structure Determination

description: Related Article: Chinthala Chinnapullaih, Angappan Sheela|2018|J.Coord.Chem.|71|3980|doi:10.1080/00958972.2018.1542492
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: 10.5517/ccdc.csd.cc20qy2s
title: CCDC 1869085: Experimental Crystal Structure Determination

description: Related Article: Réka Mokrai, Jamie Barrett, David C. Apperley, Andrei S. Batsanov, Zoltán Benkő, Dominikus Heift|2019|Chem.-Eur.J.|25|4017|doi:10.1002/chem.201900266
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: 10.5517/ccdc.csd.cc20qy3t
title: CCDC 1869086: Experimental Crystal Structure Determination

description: Related Article: Réka Mokrai, Jamie Barrett, David C. Apperley, Andrei S. Batsanov, Zoltán Benkő, Dominikus Heift|2019|Chem.-Eur.J.|25|4017|doi:10.1002/chem.201900266
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: 10.5281/zenodo.2551094
title: Greek Government Vehicles

description: A dataset that contains aggregated information about the government vehicles in Greece. The dataset is serialized in RDF and uses the RDF Data Cube Vocabulary (W3C recommendation). The dataset contains information such as the count of vehicles, the average/minimum/max age, average/minimum/max engine displacement and average/minimum/max seating capacity. All the information are described based on the vehicle type, fuel type and governmental agency that own the vehicle.
DOI: 10.5281/zenodo.2551095
title: Greek Government Vehicles

description: A dataset that contains aggregated information about the government vehicles in Greece. The dataset is serialized in RDF and uses the RDF Data Cube Vocabulary (W3C recommendation). The dataset contains information such as the count of vehicles, the average/minimum/max age, average/minimum/max engine displacement and average/minimum/max seating capacity. All the information are described based on the vehicle type, fuel type and governmental agency that own the vehicle.
DOI: 10.5281/zenodo.2551746
title: Dispa-SET Balkans - Dataset

description: <strong>Dispa-SET for the Balkans region</strong>

This is input data of the Dispa-SET model, applied to the Balkans Region:


	Config Files
	Database Files
DOI: 10.5281/zenodo.2551747
title: Dispa-SET Balkans - Dataset

description: <strong>Dispa-SET for the Balkans region</strong>

This is input data of the Dispa-SET model, applied to the Balkans Region:


	Config Files
	Database Files
DOI: 10.5281/zenodo.2551473
title: Common20LS: A Lexical Simplification Dataset with Demographic Information

description: Common20LS is a dataset for the task of Lexical Simplification that contains demographic information about the annotators. It consists on 20 Lexical Simplification problems annotated by 262 people. Each annotated instance is composed of a sentence, a target complex word or phrase, and a set of simplifications suggested by humans ranked by simplicity.
DOI: 10.5281/zenodo.2551474
title: Common20LS: A Lexical Simplification Dataset with Demographic Information

description: Common20LS is a dataset for the task of Lexical Simplification that contains demographic information about the annotators. It consists on 20 Lexical Simplification problems annotated by 262 people. Each annotated instance is composed of a sentence, a target complex word or phrase, and a set of simplifications suggested by humans ranked by simplicity.