cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5517/ccdc.csd.cc13jh59
title: CCDC 1028740: Experimental Crystal Structure Determination

description: Related Article: Nataliya A. Sanina, Natal’ya Yu. Shmatko, Denis V. Korchagin, Gennadii V. Shilov, Alexey A. Terent’ev, Tatyana S. Stupina, Anastasiya A. Balakina, Natal’ya V. Komleva, Nikolay S. Ovanesyan, Alexander V. Kulikov, Sergey M. Aldoshin|2016|J.Coord.Chem.|69|812|doi:10.1080/00958972.2016.1142536
description: Related Article: Olesya V. Pokidova, Alexandra Yu. Kormukhina, Alexander I. Kotelnikov, Tatyana N. Rudneva, Konstantin A. Lyssenko, Natalia A. Sanina|2021|Inorg.Chim.Acta|524|120453|doi:10.1016/j.ica.2021.120453
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: 10.25505/fiz.icsd.cc14nmbr
title: CSD 1062504: Experimental Crystal Structure Determination

description: Related Article: K.M. Knopf, G. Crundwell, B.L. Westcott|2015|Acta Crystallogr.,Sect.E:Cryst.Commun.|71|i5|doi:10.1107/S2056989015008488
description: An entry from the Inorganic Crystal Structure Database, the world’s repository for inorganic crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the joint CCDC and FIZ Karlsruhe Access Structures service and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/cc14nlp2
title: CCDC 1062484: Experimental Crystal Structure Determination

description: Related Article: R. Boyle, G. Crundwell, N.M. Glagovich|2015|Acta Crystallogr.,Sect.E:Cryst.Commun.|71|o403|doi:10.1107/S205698901500849X
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/cc14nmcs
title: CCDC 1062505: Experimental Crystal Structure Determination

description: Related Article: Rafaela A. L. Silva, Isabel C. Santos, Jonathan Wright, Joana T. Coutinho, Laura C. J. Pereira, Elsa B. Lopes, Sandra Rabaça, José Vidal-Gancedo, Concepció Rovira, Manuel Almeida, Dulce Belo|2015|Inorg.Chem.|54|7000|doi:10.1021/acs.inorgchem.5b01013
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/cc14nmdt
title: CCDC 1062506: Experimental Crystal Structure Determination

description: Related Article: Rafaela A. L. Silva, Isabel C. Santos, Jonathan Wright, Joana T. Coutinho, Laura C. J. Pereira, Elsa B. Lopes, Sandra Rabaça, José Vidal-Gancedo, Concepció Rovira, Manuel Almeida, Dulce Belo|2015|Inorg.Chem.|54|7000|doi:10.1021/acs.inorgchem.5b01013
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/cc14nlq3
title: CCDC 1062485: Experimental Crystal Structure Determination

description: Related Article: Surajit Haldar, Subhra Kanti Roy, Bholanath Maity, Debasis Koley and Chandan K. Jana|2015|Chem.-Eur.J.|21|15290|doi:10.1002/chem.201502297
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/cc14nmfv
title: CCDC 1062507: Experimental Crystal Structure Determination

description: Related Article: Rafaela A. L. Silva, Isabel C. Santos, Jonathan Wright, Joana T. Coutinho, Laura C. J. Pereira, Elsa B. Lopes, Sandra Rabaça, José Vidal-Gancedo, Concepció Rovira, Manuel Almeida, Dulce Belo|2015|Inorg.Chem.|54|7000|doi:10.1021/acs.inorgchem.5b01013
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/cc14nlyb
title: CCDC 1062492: Experimental Crystal Structure Determination

description: Related Article: Andrew C. Brooks, Lee Martin, Peter Day, William Clegg, Ross W. Harrington, John D. Wallis|2015|Polyhedron|102|75|doi:10.1016/j.poly.2015.07.013
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/cc14nlzc
title: CCDC 1062493: Experimental Crystal Structure Determination

description: Related Article: Andrew C. Brooks, Lee Martin, Peter Day, William Clegg, Ross W. Harrington, John D. Wallis|2015|Polyhedron|102|75|doi:10.1016/j.poly.2015.07.013
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/cc14nm0f
title: CCDC 1062494: Experimental Crystal Structure Determination

description: Related Article: Andrew C. Brooks, Lee Martin, Peter Day, William Clegg, Ross W. Harrington, John D. Wallis|2015|Polyhedron|102|75|doi:10.1016/j.poly.2015.07.013
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/cc14nm1g
title: CCDC 1062495: Experimental Crystal Structure Determination

description: Related Article: Virginia San Nacianceno, Susan Azpeitia, Lourdes Ibarlucea, Claudio Mendicute-Fierro, Antonio Rodríguez-Diéguez, José M. Seco, Eider San Sebastian, María A. Garralda|2015|Dalton Trans.|44|13141|doi:10.1039/C5DT01705J
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/cc14nm4k
title: CCDC 1062498: Experimental Crystal Structure Determination

description: Related Article: Kevin M. Arendt, Abigail G. Doyle|2015|Angew.Chem.,Int.Ed.|54|9876|doi:10.1002/anie.201503936
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/cc14nm3j
title: CCDC 1062497: Experimental Crystal Structure Determination

description: Related Article: Virginia San Nacianceno, Susan Azpeitia, Lourdes Ibarlucea, Claudio Mendicute-Fierro, Antonio Rodríguez-Diéguez, José M. Seco, Eider San Sebastian, María A. Garralda|2015|Dalton Trans.|44|13141|doi:10.1039/C5DT01705J
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/cc14nml0
title: CCDC 1062512: Experimental Crystal Structure Determination

description: Related Article: Somnath Narayan Karad, Wei-Kang Chung, Rai-Shung Liu|2015|Chemical Science|6|5964|doi:10.1039/C5SC01950H
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/cc14nmm1
title: CCDC 1062513: Experimental Crystal Structure Determination

description: Related Article: Somnath Narayan Karad, Wei-Kang Chung, Rai-Shung Liu|2015|Chem.Commun.|51|13004|doi:10.1039/C5CC04538J
description: Related Article: Somnath Narayan Karad, Wei-Kang Chung, Rai-Shung Liu|2015|Chemical Science|6|5964|doi:10.1039/C5SC01950H
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: 10.15468/dl.7n2eav
title: Occurrence Download

description: A dataset containing 8060105 species occurrences available in GBIF matching the query:
{
 "Country" : [
 "is Thailand"
 ]
}

 The dataset includes 8060105 records from 1841 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0051781-251009101135966/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.aqs82g
title: Occurrence Download

description: A dataset containing 222 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Asia",
 "Country is China",
 "TaxonKey is Salix alba L.",
 "Year 1933-2025"
 ]
}

 The dataset includes 222 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007848-250227182430271/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.aykv65
title: Occurrence Download

description: A dataset containing 11099 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Eucalyptus polyanthemos Schauer)",
 "BasisOfRecord is one of (Specimen, Human Observation, Observation, Living Specimen, Machine Observation, Literature Occurrence)",
 "Geometry POLYGON((-180 -90,180 -90,180 90,-180 90,-180 -90))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1945"
 ]
}

 The dataset includes 11099 records from 73 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007849-250227182430271/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bhf5h4
title: Occurrence Download

description: A dataset containing 1600114 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Aythya ferina (Linnaeus, 1758)"
 ]
}

 The dataset includes 1600114 records from 1433 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007774-250227182400228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wjexkh
title: Occurrence Download

description: A dataset containing 11508757 species occurrences available in GBIF matching the query:
{
 "Country" : [
 "is China"
 ]
}

 The dataset includes 11508757 records from 4763 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007777-250227182400228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jmzjr4
title: Occurrence Download

description: A dataset containing 97 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Specimen, Material citation)",
 "Country is Mexico",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Yucca carnerosana (Trel.) McKelvey"
 ]
}

 The dataset includes 97 records from 22 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018569-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7gc4r9
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "PublishingCountry is Colombia",
 {
 "and" : [
 "Country is Colombia",
 {
 "not" : {
 "Issue" : [
 "is Country coordinate mismatch"
 ]
 }
 }
 ]
 }
 ]
 },
 "StateProvince is one of (aquitania)"
 ]
}

 The dataset includes 2 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018572-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/4v53nkv5hc.1
title: Lennard-Jones type pair-potential method for coarse-grained lipid bilayer membrane simulations in LAMMPS

description: Lipid bilayer membranes have been extensively studied by coarse-grained molecular dynamics simulations. Numerical efficiencies have been reported in the cases of aggressive coarse-graining, where several lipids are coarse-grained into a particle of size 4∼6 nm so that there is only one particle in the thickness direction. Yuan et al. proposed a pair-potential between these one-particle-thick coarse-grained lipid particles to capture the mechanical properties of a lipid bilayer membrane, such as gel-fluid-gas phase transitions of lipids, diffusion, and bending rigidity Yuan et al. (2010). In this work we implement such an interaction potential in LAMMPS to simulate large-scale lipid systems such as a giant unilamminar vesicle (GUV) and red blood cells (RBCs). We also consider the effect of cytoskeleton on the lipid membrane dynamics as a model for RBC dynamics, and incorporate coarse-grained water molecules to account for hydrodynamic interactions. The interaction between the coarse-grained water molecules (explicit solvent molecules) is modeled as a Lennard-Jones (L-J) potential. To demonstrate that the proposed methods do capture the observed dynamics of vesicles and RBCs, we focus on two sets of LAMMPS simulations: 1. Vesicle shape transitions with enclosed volume; 2. RBC shape transitions with different enclosed volume. Finally utilizing the parallel computing capability in LAMMPS, we provide some timing results for parallel coarse-grained simulations to illustrate that it is possible to use LAMMPS to simulate large-scale realistic complex biological membranes for more than 1 ms.
DOI: 10.17632/73rb78pmzw.2
title: Nairobi Securities Exchange (NSE) All Stocks Prices 2013-2020

description: This compilation consists of historical data of the Nairobi Securities Exchange (NSE), the stock exchange market of Kenya. The data is raw daily trade data and is of value to any machine learning algorithm that requires training and testing data. An earlier dataset (2007-2012) was initially compiled as part of a research project to predict next day stock price prediction, based on the previous five days by use of Artificial Neural Networks (ANN). The research [1],[2] tested 6 stocks [3] using an ANN of configuration 5:21:21:1. However, the whole of 2007-2012 dataset of all NSE stocks is also available [4]. Since then, the NSE has continued to operate and still generates new data daily. This has necessitated compilation of new data. This new NSE 2013 to 2020 (upto June 30) data was once again scrapped from public website [5] of company, licensed by NSE. The processing involved - raw data export to spreadsheets then removal of unnecessary data elements. Each stock data row has the following 13 data columns (1) Date (2) Stock Code (3) Stock Name (4) 12-month Low price (5) 12-month High price (6) Day's Low price (7) Day's High price (8) Day's Final Price (9) Previous traded price (10) Change in price value (11) Change in price % (12) Volume traded (13) Adjusted price. The original data also had a column on the price direction (arrow graphic), but this column was dropped from this final compilation. Two additional CSV files (2013 and 2020) are introduced to show market sectors that each stock belongs. The column headings are: (1) Market sector (2) Stock Code (3) Stock Name. This new dataset gives researchers a larger dataset (2007-2020), bigger pool of stocks and indices (64), market sector data and many other data attributes, over and above the test cases that were presented in the earlier research. List of data files on this dataset: NSE_data_all_stocks_2013.csv NSE_data_all_stocks_2014.csv NSE_data_all_stocks_2015.csv NSE_data_all_stocks_2016.csv NSE_data_all_stocks_2017.csv NSE_data_all_stocks_2018.csv NSE_data_all_stocks_2019.csv NSE_data_all_stocks_2020.csv NSE_data_stock_market_sectors_2013.csv NSE_data_stock_market_sectors_2020.csv References: [1] Wanjawa, B. W. (2014). A Neural Network Model for Predicting Stock Market Prices at the Nairobi Securities Exchange (Dissertation, University of Nairobi). [2] Wanjawa, B. W., & Muchemi, L. (2014). ANN model to predict stock prices at stock exchange markets. arXiv preprint arXiv:1502.06434. [3] Wanjawa, Barack (2020), “Nairobi Securities Exchange Prices 2008-2012 for 6 selected stocks”, Mendeley Data, v3, http://dx.doi.org/10.17632/95fb84nzcd.3 [4] Wanjawa, Barack (2020), “Nairobi Securities Exchange All Stocks Prices 2007-2012”, Mendeley Data, v1, http://dx.doi.org/10.17632/5hk4zw32f5.1 [5] Synergy Systems Ltd. (2020). MyStocks. Retrieved July 27, 2020, from http://live.mystocks.co.ke/
DOI: 10.17632/6pjjcpnkzj.1
title: Dataset on twenty years of civil conflicts in Nigeria

description: This dataset describes micro-level conflict activities relating to Nigeria, which was extracted from the ACLED. Nigeria is known to have witnessed a fair share of total civil conflicts in sub-Saharan Africa, including the acclaimed first modern warfare in the subcontinent – the Nigeria (versus Biafra) civil war . The large heterogeneous Nigerian population, divided along ethnic, religious and cultural lines continues to generate latent frictions and manifest conflicts. As of today, there are a number of deadly militias operating within the country, notably the Boko Haram and pastoral herders whose activities are recognised globally . This data may be relevant in understanding the nexus between the recent Nigeria's conflicts environment and national development along economic, social and political dimensions. In addition, it provides safety planning resources for individuals' safety and governments.
DOI: 10.17632/pwzk7dj5wf.1
title: Thermal and Visible database of organic and Non-organic fruits and vegetables

description: This database contains visible and thermal images of three species of agricultural products ( Red apple, mushroom, and cucumber). About 160 organic and non-organic apples, 120 organic and non-organic mushrooms, and 30 organic and non-organic cucumber were utilized for this research. The images were captured by rotating each fruit 360 degrees at different levels to take pictures of the fruit’s various surfaces. So approximately 3 to 4 photos of each fruit were taken. The total dataset includes 1150 pictures of visible images and 1166 pictures of thermal images.
Dali-tech T4/T8 infrared thermal image camera with dimensions of 640*480 pixels for output image was used to capture fruits and vegetables. The wavelength range of this camera is from 8 to 14 μm, and its minimum sensitivity is 0.04 °C at an ambient temperature of 30 °C. 
A 12-megapixel mobile phone camera (iPhone 12-pro) with output image dimensions of 4032*3024 was utilized for visible imaging.
DOI: 10.17632/b6sct48jmb.1
title: A phase 2a randomized, placebo-controlled study to evaluate the efficacy and safety of the oral Janus kinase inhibitors ritlecitinib and brepocitinib in alopecia areata: 24-week results. Supplementary Figures and Tables

description: Supplementary Figures 1-7. Supplementary Tables 1-5
DOI: 10.17632/st36dd7k23.2
title: Optogenetic actuator-ERK biosensor circuits identify MAPK network nodes that shape ERK dynamics

description: Experimental data and R/Python scripts required to reproduce the figures from the accompanying publication: Dessauges et al. "Optogenetic actuator - ERK biosensor circuits identify MAPK network nodes that shape ERK dynamics".
DOI: 10.17632/x79wx5fz6b.1
title: JND-IR image dataset

description: Dataset of compressed images in the infrared (IR) part of the electromagnetic spectrum, with the values of subjectively determined first just noticeable difference (JND) points.