cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17171/1-1-4370
title: Dialface ID 546
title: Point Selection

description: Surfaces extracted from model BSDP0164 (ObjID 503)
description: Ancient Sundials
DOI: 10.17171/1-1-4371
title: Dialface ID 546
title: Point Selection

description: Surfaces extracted from model BSDP0164 (ObjID 503)
description: Ancient Sundials
DOI: 10.17171/1-1-4372
title: Dialface ID 546
title: Point Selection

description: Surfaces extracted from model BSDP0164 (ObjID 503)
description: Ancient Sundials
DOI: 10.17171/1-1-4373
title: Dialface ID 546
title: Point Selection

description: Surfaces extracted from model BSDP0164 (ObjID 503)
description: Ancient Sundials
DOI: 10.17171/1-1-4374
title: Dialface ID 546
title: Point Selection

description: Surfaces extracted from model BSDP0164 (ObjID 503)
description: Ancient Sundials
DOI: 10.17171/1-1-4375
title: Dialface ID 546
title: Point Selection

description: Surfaces extracted from model BSDP0164 (ObjID 503)
description: Ancient Sundials
DOI: 10.17171/1-1-4376
title: Dialface ID 546
title: Point Selection

description: Surfaces extracted from model BSDP0164 (ObjID 503)
description: Ancient Sundials
DOI: 10.17171/1-1-4378
title: 3D-Model of Dialface ID 547
title: Rhodes, Inventory Nr. APX201

description: 3D Model of the sundial APX201 in the Archaeological Museum of Rhodes, Greece (Object-ID 504 in the database on Greek and Roman sundials BSDP0001); generated with ATOS Compact Scan 5M; date: September 2013.
description: Ancient Sundials
DOI: 10.17171/1-1-4379
title: Image of Dialface ID 547
title: Rhodes, Inventory Nr. APX201

description: Photographs of the sundial in APX201 in the Archaeological Museum of Rhodes,(object-ID 504 in the database on Greek and Roman sundials BSDP0001). Camera: Nikon D800; date: 23.09.2013.
description: Ancient Sundials
DOI: 10.17171/1-1-4380
title: Image of Dialface ID 547
title: Rhodes, Inventory Nr. APX201

description: Photographs of the sundial in APX201 in the Archaeological Museum of Rhodes,(object-ID 504 in the database on Greek and Roman sundials BSDP0001). Camera: Nikon D800; date: 23.09.2013.
description: Ancient Sundials
DOI: 10.17171/1-1-4381
title: Image of Dialface ID 547
title: Rhodes, Inventory Nr. APX201

description: Photographs of the sundial in APX201 in the Archaeological Museum of Rhodes,(object-ID 504 in the database on Greek and Roman sundials BSDP0001). Camera: Nikon D800; date: 23.09.2013.
description: Ancient Sundials
DOI: 10.17171/1-1-4382
title: Image of Dialface ID 547
title: Rhodes, Inventory Nr. APX201

description: Photographs of the sundial in APX201 in the Archaeological Museum of Rhodes,(object-ID 504 in the database on Greek and Roman sundials BSDP0001). Camera: Nikon D800; date: 23.09.2013.
description: Ancient Sundials
DOI: 10.17171/1-1-4383
title: Image of Dialface ID 547
title: Rhodes, Inventory Nr. APX201

description: Photographs of the sundial in APX201 in the Archaeological Museum of Rhodes,(object-ID 504 in the database on Greek and Roman sundials BSDP0001). Camera: Nikon D800; date: 23.09.2013.
description: Ancient Sundials
DOI: 10.5281/zenodo.10830336
title: AWESOME CGE scenarios and modelling outputs
title: Studying the impacts of climate change on food security given the potential supply of alternative water sources using the CGE model in the Mediterranean Basin

description: The primary goal of this analysis was to study the impacts of climate change on food security given the potential supply of alternative water sources: desalination and reused (treated) water within the WEFE nexus in the Mediterranean Sea Basin. Accordingly, the first step of the analysis is to explicitly introduce desalination and treated water into the global CGE model and database. Using the standard GTAP model (Corong, Hertel, McDougall, Tsigas, & van der Mensbrugghe, 2017) and GTAP10A dataset (Aguiar, Chepeliev, Corong, McDougall, & & van der Mensbrugghe, 2019), the water sector was divided into three main categories using the SplitCom application (Horridge, 2008) and  including (a) natural water that refers to distribution of water, (b) desalinated water that refers mostly to seawater desalination and (c) treated water that refers primarily to wastewater and brackish water treatment. The resulting modelling framework is used as the basis of the second step, that assesses the externalities associated with the different water sources incorporated in the model.

To introduce alternative water sources in the CGE, several assumptions were made. First, desalinated water is produced from the abundant resource – seawater and therefore the scarcity value that is attributed to depletable natural resources is not applicable. Accordingly, desalinated water production can be treated as a sector disaggregated from the existing water sector in the GTAP database. For example, the economic activities of the desalination sector were reported as part of the water sector in input-output tables (United Nations, 2008).
description: The data includes the following Excel sheets: 

SSP2_BASELINE- shocks to introduce SSP2 scenario into the model 

RCP4_5- shocks to introduce RCP4.5-SSP2 scenario into the model 

RCP2_6- shocks to introduce RCP2.6-SSP2 scenario into the model 

RCP6_0- shocks to introduce RCP6.0-SP2 scenario into the model 

qo- to present outputs' changes results for different scenarios

qgdp- to present GDP changes results for different scenarios

DOQ and DQPM- to present volume changes results for different scenarios

Sensitivity_analysis- to check out changes in some parameters and their influence on outcomes
DOI: 10.5281/zenodo.10830337
title: AWESOME CGE scenarios and modelling outputs
title: Studying the impacts of climate change on food security given the potential supply of alternative water sources using the CGE model in the Mediterranean Basin

description: The primary goal of this analysis was to study the impacts of climate change on food security given the potential supply of alternative water sources: desalination and reused (treated) water within the WEFE nexus in the Mediterranean Sea Basin. Accordingly, the first step of the analysis is to explicitly introduce desalination and treated water into the global CGE model and database. Using the standard GTAP model (Corong, Hertel, McDougall, Tsigas, & van der Mensbrugghe, 2017) and GTAP10A dataset (Aguiar, Chepeliev, Corong, McDougall, & & van der Mensbrugghe, 2019), the water sector was divided into three main categories using the SplitCom application (Horridge, 2008) and  including (a) natural water that refers to distribution of water, (b) desalinated water that refers mostly to seawater desalination and (c) treated water that refers primarily to wastewater and brackish water treatment. The resulting modelling framework is used as the basis of the second step, that assesses the externalities associated with the different water sources incorporated in the model.

To introduce alternative water sources in the CGE, several assumptions were made. First, desalinated water is produced from the abundant resource – seawater and therefore the scarcity value that is attributed to depletable natural resources is not applicable. Accordingly, desalinated water production can be treated as a sector disaggregated from the existing water sector in the GTAP database. For example, the economic activities of the desalination sector were reported as part of the water sector in input-output tables (United Nations, 2008).
description: The data includes the following Excel sheets: 

SSP2_BASELINE- shocks to introduce SSP2 scenario into the model 

RCP4_5- shocks to introduce RCP4.5-SSP2 scenario into the model 

RCP2_6- shocks to introduce RCP2.6-SSP2 scenario into the model 

RCP6_0- shocks to introduce RCP6.0-SP2 scenario into the model 

qo- to present outputs' changes results for different scenarios

qgdp- to present GDP changes results for different scenarios

DOQ and DQPM- to present volume changes results for different scenarios

Sensitivity_analysis- to check out changes in some parameters and their influence on outcomes
DOI: 10.6084/m9.figshare.9477.v1
title: BMC Bioinformatics-4

description: <b>Copyright information:</b>Taken from "BLISS: biding site level identification of shared signal-modules in DNA regulatory sequences"BMC Bioinformatics 2006;7():287-287.Published online 7 Jun 2006PMCID:PMC1526457.volution of S2E modules across distantly related species revealed that while the sequence length of the module has changed significantly, the distance among TFBSs in Clauses 1 and 3 have remained stable. The numbers near the TFBS indicate the positions relative to the first Kr site in this module.
DOI: 10.6084/m9.figshare.9478.v1
title: BMC Bioinformatics-5

description: <b>Copyright information:</b>Taken from "BLISS: biding site level identification of shared signal-modules in DNA regulatory sequences"BMC Bioinformatics 2006;7():287-287.Published online 7 Jun 2006PMCID:PMC1526457.lauses 1 (a) or 3 (b) of S2E were used to search against a 14 kb D.moja genomic region. The _peaks are significant (P(C2
DOI: 10.6084/m9.figshare.9479.v1
title: BMC Bioinformatics-6

description: <b>Copyright information:</b>Taken from "BLISS: biding site level identification of shared signal-modules in DNA regulatory sequences"BMC Bioinformatics 2006;7():287-287.Published online 7 Jun 2006PMCID:PMC1526457.used as the example. The list of TFBSs can be output either based on sequence position, product of p value (Figure 7), or contribution to _. The TFBSs that belongs to S2E were highlighted in green.
DOI: 10.5281/zenodo.10864870
title: Images of dust and datasets obtained from them, cloister of Santa María del Paular, in positions 1, 3 and 6 (2021-2022)

description: This dataset is related to the research article entitled "Assessment of dust deposition through image analysis in complex and remote exhibition sites – study in the cloister of the Santa María de El Paular Monastery in the Sierra de Guadarrama in Spain "

These are photographs of slides located in 3 different points of the cloister, on which the dust was allowed to settle for 4 different periods of time.

Folders *_x10 contain original microscope photos

Folders *_x10_Split contain the result of dividing the original images (from Folders *_x10) into nine rectangles of equal size

Folders *_x10_BW contain the result of of treating images (from Folders *_x10_Split) with an automatic threshold (triangle - ImageJ)

Folders *_x10_DT contains csv files with dust particles detected in each image (from folders *_x10_BW)

Also included are macros (for splitting and thresholding)
DOI: 10.5281/zenodo.10864871
title: Images of dust and datasets obtained from them, cloister of Santa María del Paular, in positions 1, 3 and 6 (2021-2022)

description: This dataset is related to the research article entitled "Assessment of dust deposition through image analysis in complex and remote exhibition sites – study in the cloister of the Santa María de El Paular Monastery in the Sierra de Guadarrama in Spain "

These are photographs of slides located in 3 different points of the cloister, on which the dust was allowed to settle for 4 different periods of time.

Folders *_x10 contain original microscope photos

Folders *_x10_Split contain the result of dividing the original images (from Folders *_x10) into nine rectangles of equal size

Folders *_x10_BW contain the result of of treating images (from Folders *_x10_Split) with an automatic threshold (triangle - ImageJ)

Folders *_x10_DT contains csv files with dust particles detected in each image (from folders *_x10_BW)

Also included are macros (for splitting and thresholding)
DOI: 10.6084/m9.figshare.25466677
title: <b>Niger data </b><b>Inducible clindamycin resistance</b>

description: Macrolide-induced resistance to clindamycin is a well-described mechanism leading to the misuse of clindamycin and hence to treatment failure. In this study, we determined the frequency and associated factors of inducible clindamycin resistance in Gram-positive cocci in a tertiary care hospital.
DOI: 10.6084/m9.figshare.25466677.v1
title: <b>Niger data </b><b>Inducible clindamycin resistance</b>

description: Macrolide-induced resistance to clindamycin is a well-described mechanism leading to the misuse of clindamycin and hence to treatment failure. In this study, we determined the frequency and associated factors of inducible clindamycin resistance in Gram-positive cocci in a tertiary care hospital.
DOI: 10.34740/kaggle/dsv/7927825
title: Egypt Gold Prices | Daily Updated
DOI: 10.15151/esrf-es-1507029259
title: Structural basis of class C metabotropic glutamate receptor 5 signal transduction

description: Metabotropic glutamate receptors (mGluR) are Class C GPCRs. They are obligate dimers, dimerization being fundamental for their function. mGluRs are activated by the binding of the main excitatory neurotransmitter glutamate, within an extracellular domain (ECD). Conformational changes induced by glutamate-binding are then transmitted to the transmembrane domain composed of 7 transmembrane helices (7TM) that allows signal transduction within the cell. Class C GPCR activity can be modulated by the binding of Positive Allosteric Modulators (PAM) or Negative Allosteric Modulators (NAM) to the 7TM. Our research interest is to understand the structural basis of class C GPCR dimers signal transduction and their allosteric regulation. Multiple structures of PAM bound receptor will be solved and they will provide a comprehensive understanding on the nature of ligand binding in the 7TM as well as conformational changes associated to the binding of PAM at the mGlu receptor.
DOI: 10.6084/m9.figshare.25466692
title: Sub6GHz Non-Line-of-Sight Effects in Mobile Communications: A New Perspective for Rainfall Monitoring

description: Sub6GHz non-line-of-sight signals are a potential opportunistic source of rainfall information that promises to improve the current urgent need regarding near-surface rainfall detection, but the complex mechanisms in which these signals are impacted by rainfall have hindered further development in this area. In this study, we focus on four types of microwave propagation processes to explore the theoretical basis for Sub6GHz signal sensitivity to rainfall. We also investigate how these signals change during rainy conditions using a cell phone signal recording experiment. The results demonstrate that the indirect effect of rainfall-induced changes in the interfacial water film may significantly affect the Sub6GHz signal, making it an opportunity to reflect rainfall information. Finally, we offer a comprehensive overview of the potential challenges, benefits, and drawbacks of low-frequency non-line-of-sight links in the context of rainfall inversion.
DOI: 10.34740/kaggle/dsv/7927981
title: Health Workforce Shortage Areas
DOI: 10.34740/kaggle/dsv/7928001
title: OnlineFree
DOI: 10.34740/kaggle/dsv/7928000
title: AutoXGB
DOI: 10.6084/m9.figshare.25466668
title: Political_Marketing_India_Survey_File.xlsx

description: This survey data contains voters’ opinion about different factors of political marketing in India, specially for Loksabha election. Objective of creating this survey was to understand the critical factors which affect the voters’ political brand of choice. This survey has two parts – respondents’ demographic details and their opinion about the importance of different political factors to decide political brand of choice. This survey was conducted in3 major cities of India – Kolkata, Delhi and Mumbai. This data was collected through online mode like email, whatsapp and facebook between August 2021 and January 2022. This dataset contains 1926 responses spanning 32 column variables. The data can be used to shed light on the varying importance of political factors for voters of different demography and geography and those insights can be used by political markets to design tailored and targeted campaigns. This data can also be used to predict voter’s political brand of choice based on his/her demography and opinions about political factors.
DOI: 10.5517/ccdc.csd.cc2gm8m0
title: CCDC 2282642: Experimental Crystal Structure Determination

description: Related Article: Maximilian G. Bernbeck, Angelica P. Orlova, Jeremy D. Hilgar, Milan Gembicky, Mykhaylo Ozerov, Jeffrey D. Rinehart|2024|J.Am.Chem.Soc.|146|7243|doi:10.1021/jacs.3c10412
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.cc2gm8n1
title: CCDC 2282643: Experimental Crystal Structure Determination

description: Related Article: Maximilian G. Bernbeck, Angelica P. Orlova, Jeremy D. Hilgar, Milan Gembicky, Mykhaylo Ozerov, Jeffrey D. Rinehart|2024|J.Am.Chem.Soc.|146|7243|doi:10.1021/jacs.3c10412
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.cc2gm8p2
title: CCDC 2282644: Experimental Crystal Structure Determination

description: Related Article: Maximilian G. Bernbeck, Angelica P. Orlova, Jeremy D. Hilgar, Milan Gembicky, Mykhaylo Ozerov, Jeffrey D. Rinehart|2024|J.Am.Chem.Soc.|146|7243|doi:10.1021/jacs.3c10412
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.cc2gm8q3
title: CCDC 2282645: Experimental Crystal Structure Determination

description: Related Article: Maximilian G. Bernbeck, Angelica P. Orlova, Jeremy D. Hilgar, Milan Gembicky, Mykhaylo Ozerov, Jeffrey D. Rinehart|2024|J.Am.Chem.Soc.|146|7243|doi:10.1021/jacs.3c10412
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.cc2gm8r4
title: CCDC 2282646: Experimental Crystal Structure Determination

description: Related Article: Maximilian G. Bernbeck, Angelica P. Orlova, Jeremy D. Hilgar, Milan Gembicky, Mykhaylo Ozerov, Jeffrey D. Rinehart|2024|J.Am.Chem.Soc.|146|7243|doi:10.1021/jacs.3c10412
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.cc2gm8s5
title: CCDC 2282647: Experimental Crystal Structure Determination

description: Related Article: Maximilian G. Bernbeck, Angelica P. Orlova, Jeremy D. Hilgar, Milan Gembicky, Mykhaylo Ozerov, Jeffrey D. Rinehart|2024|J.Am.Chem.Soc.|146|7243|doi:10.1021/jacs.3c10412
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.cc2gm8t6
title: CCDC 2282648: Experimental Crystal Structure Determination

description: Related Article: Maximilian G. Bernbeck, Angelica P. Orlova, Jeremy D. Hilgar, Milan Gembicky, Mykhaylo Ozerov, Jeffrey D. Rinehart|2024|J.Am.Chem.Soc.|146|7243|doi:10.1021/jacs.3c10412
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.cc2gm8v7
title: CCDC 2282649: Experimental Crystal Structure Determination

description: Related Article: Maximilian G. Bernbeck, Angelica P. Orlova, Jeremy D. Hilgar, Milan Gembicky, Mykhaylo Ozerov, Jeffrey D. Rinehart|2024|J.Am.Chem.Soc.|146|7243|doi:10.1021/jacs.3c10412
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.cc2gm8w8
title: CCDC 2282650: Experimental Crystal Structure Determination

description: Related Article: Maximilian G. Bernbeck, Angelica P. Orlova, Jeremy D. Hilgar, Milan Gembicky, Mykhaylo Ozerov, Jeffrey D. Rinehart|2024|J.Am.Chem.Soc.|146|7243|doi:10.1021/jacs.3c10412
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.cc2gxdxq
title: CCDC 2291424: Experimental Crystal Structure Determination

description: Related Article: Shashikant Tiwari, Manisha Kumari, Diwan S. Rawat|2024|Org.Lett.|26|2303|doi:10.1021/acs.orglett.4c00539
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.10865430
title: Resonant excitation of plasma waves in a plasma channel - data
DOI: 10.6084/m9.figshare.72735.v1
title: Differential expression of vascular endothelial growth factor () and platelet-derived growth factor () family genes in CD11b/Gr-1osteoclast precursors (OCPs) from tumor necrosis factor-transgenic (TNF-Tg) and wild-type (WT) mice

description: <b>Copyright information:</b>Taken from "Increased lymphangiogenesis in joints of mice with inflammatory arthritis"http://arthritis-research.com/content/9/6/R118Arthritis Research & Therapy 2007;9(6):R118-R118.Published online 12 Nov 2007PMCID:PMC2246237. CD11b/Gr-1cells from peripheral blood and bone marrow from TNF-Tg (7 mice per array) and WT (23 mice per array) mice were pooled and purified by flow sorting. The RNA samples were subjected to microarray analysis using the GeneChip mouse genome 430A 2.0 array from Affymetrix. The array data on angiogenic gene expression were analyzed using GeneTraffic software. The expression ratio was calculated by dividing the mean value of the intensity of RNA signals from two separate arrays of TNF-Tg OCPs by that from WT cells.