cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.6573877
title: MODIS MNDWI, 8-day time series for Europe at 1 km resolution

description: Modified Normalized Difference Water Index (MNDWI) from MODIS data for Europe at 1 km resolution. Source data:<br> - MODIS/Terra Surface Reflectance 8-Day L3 Global 500 m SIN Grid (MOD09A1 v006): https://lpdaac.usgs.gov/products/mod09a1v006/ The corresponding MODIS/Aqua product (MYD09A1 v006) could not be used due to the fact that the Aqua satellite has a number of broken detectors resulting in unreliable data for band 6 (SWIR) measurements. The Moderate Resolution Imaging Spectroradiometer (MODIS) Terra MOD09A1 Version 6 product provides an estimate of the surface spectral reflectance of Terra MODIS Bands 1 through 7 corrected for atmospheric conditions such as gasses, aerosols, and Rayleigh scattering. Along with the seven 500 meter (m) reflectance bands are two quality layers and four observation bands. For each pixel, a value is selected from all the acquisitions within the 8-day composite period. The criteria for the pixel choice include cloud and solar zenith. When several acquisitions meet the criteria the pixel with the minimum channel 3 (blue) value is used. For the time periods October 2016 - March 2017 and August 2020 - April 2021, the original data has been reprojected to ETRS89-extended / LAEA Europe and aggregated to a 1 km grid. The temporal resolution is 8 days. Bad quality pixels (cloud, cloud shadow, dead detector, solar zenith angle too large, etc.) have been masked using the provided quality assurance (QA) layers and appear as "no data". File naming:<br> productCode.acquisitionDate[A (YYYYDDD)]_mosaic_spatialResolution_frequency_VI.tif<br> example: MOD09A1.A2016353_mosaic_1000m_8_days_MNDWI.tif The date is Year and Day of Year. Values are MNDWI * 10000. Example: Value -5099 = -0.5099 Projection + EPSG code:<br> ETRS89 / LAEA Europe (EPSG:3035) (EPSG:3035) Spatial extent:<br> north: 72N<br> south: 30S<br> west: -52W<br> east: 49E Spatial resolution:<br> 1 km Temporal resolution:<br> 8 days Pixel values:<br> MNDWI * 10000 (scaled to Integer; example: value -5099 = -0.5099) Software used:<br> GRASS GIS 8.0 Original dataset license:<br> All data products distributed by NASA's Land Processes Distributed Active Archive Center (LP DAAC) are available at no charge. The LP DAAC requests that any author using NASA data products in their work provide credit for the data, and any assistance provided by the LP DAAC, in the data section of the paper, the acknowledgement section, and/or as a reference. The recommended citation for each data product is available on its Digital Object Identifier (DOI) Landing page, which can be accessed through the Search Data Catalog interface. For more information see: https://lpdaac.usgs.gov/products/mod09a1v006/ Processed by:<br> mundialis GmbH & Co. KG, Germany (https://www.mundialis.de/)
description: Acknowledgements: This study was partially funded by EU grant 874850 MOOD. The contents of this publication are the sole responsibility of the authors and don't necessarily reflect the views of the European Commission.
DOI: 10.5281/zenodo.6573852
title: MODIS NDVI and EVI, 16-day time series for Europe at 1 km resolution

description: Normalized Difference Vegetation Index (NDVI) and Enhanced Vegetation Index (EVI) from MODIS data for Europe at 1 km resolution. Source data:<br> - MODIS/Terra Vegetation Indices 16-Day L3 Global 500 m SIN Grid (MOD13A1 v006): https://lpdaac.usgs.gov/products/mod13a1v006/<br> - MODIS/Aqua Vegetation Indices 16-Day L3 Global 500 m SIN Grid (MYD13A1 v006): https://lpdaac.usgs.gov/products/myd13a1v006/ <br> The MOD/MYD13A1 Version 6 product provide Vegetation Index (VI) values at a per pixel basis at 500 meter (m) spatial resolution. There are two primary vegetation layers. The first is the Normalized Difference Vegetation Index (NDVI), which is referred to as the continuity index to the existing National Oceanic and Atmospheric Administration-Advanced Very High Resolution Radiometer (NOAA-AVHRR) derived NDVI. The second vegetation layer is the Enhanced Vegetation Index (EVI), which has improved sensitivity over high biomass regions. The algorithm for this product chooses the best available pixel value from all the acquisitions from the 16 day period. The criteria used is low clouds, low view angle, and the highest NDVI/EVI value. For the time periods October 2016 - March 2017 and August 2020 - April 2021, the original data has been reprojected to ETRS89-extended / LAEA Europe and aggregated to a 1 km grid. The temporal resolution is 16 days. Bad quality pixels or pixels with snow/ice and/or cloud cover have been masked using the provided quality assurance (QA) layers and appear as "no data". File naming:<br> productCode.acquisitionDate[A (YYYYDDD)]_mosaic_spatialResolution_frequency_VI.tif<br> example: MOD13A1.A2020305_mosaic_1000m_16_days_NDVI.tif The date is Year and Day of Year. Values are NDVI/EVI * 10000. Example: Value 6473 = 0.6473 Projection + EPSG code:<br> ETRS89 / LAEA Europe (EPSG:3035) (EPSG: 3035) Spatial extent:<br> north: 72N<br> south: 30S<br> west: -52W<br> east: 49E Spatial resolution:<br> 1 km Temporal resolution:<br> 16 days Pixel values:<br> NDVI/EVI * 10000 (scaled to Integer; example: value 6473 = 0.6473) Software used:<br> GRASS GIS 8.0 Original dataset license:<br> All data products distributed by NASA's Land Processes Distributed Active Archive Center (LP DAAC) are available at no charge. The LP DAAC requests that any author using NASA data products in their work provide credit for the data, and any assistance provided by the LP DAAC, in the data section of the paper, the acknowledgement section, and/or as a reference. The recommended citation for each data product is available on its Digital Object Identifier (DOI) Landing page, which can be accessed through the Search Data Catalog interface. For more information see: https://lpdaac.usgs.gov/products/myd13a1v006/ Processed by:<br> mundialis GmbH & Co. KG, Germany (https://www.mundialis.de/)
description: Acknowledgements: This study was partially funded by EU grant 874850 MOOD. The contents of this publication are the sole responsibility of the authors and don't necessarily reflect the views of the European Commission.
DOI: 10.5281/zenodo.6573851
title: MODIS NDVI and EVI, 16-day time series for Europe at 1 km resolution

description: Normalized Difference Vegetation Index (NDVI) and Enhanced Vegetation Index (EVI) from MODIS data for Europe at 1 km resolution. Source data:<br> - MODIS/Terra Vegetation Indices 16-Day L3 Global 500 m SIN Grid (MOD13A1 v006): https://lpdaac.usgs.gov/products/mod13a1v006/<br> - MODIS/Aqua Vegetation Indices 16-Day L3 Global 500 m SIN Grid (MYD13A1 v006): https://lpdaac.usgs.gov/products/myd13a1v006/ <br> The MOD/MYD13A1 Version 6 product provide Vegetation Index (VI) values at a per pixel basis at 500 meter (m) spatial resolution. There are two primary vegetation layers. The first is the Normalized Difference Vegetation Index (NDVI), which is referred to as the continuity index to the existing National Oceanic and Atmospheric Administration-Advanced Very High Resolution Radiometer (NOAA-AVHRR) derived NDVI. The second vegetation layer is the Enhanced Vegetation Index (EVI), which has improved sensitivity over high biomass regions. The algorithm for this product chooses the best available pixel value from all the acquisitions from the 16 day period. The criteria used is low clouds, low view angle, and the highest NDVI/EVI value. For the time periods October 2016 - March 2017 and August 2020 - April 2021, the original data has been reprojected to ETRS89-extended / LAEA Europe and aggregated to a 1 km grid. The temporal resolution is 16 days. Bad quality pixels or pixels with snow/ice and/or cloud cover have been masked using the provided quality assurance (QA) layers and appear as "no data". File naming:<br> productCode.acquisitionDate[A (YYYYDDD)]_mosaic_spatialResolution_frequency_VI.tif<br> example: MOD13A1.A2020305_mosaic_1000m_16_days_NDVI.tif The date is Year and Day of Year. Values are NDVI/EVI * 10000. Example: Value 6473 = 0.6473 Projection + EPSG code:<br> ETRS89 / LAEA Europe (EPSG:3035) (EPSG: 3035) Spatial extent:<br> north: 72N<br> south: 30S<br> west: -52W<br> east: 49E Spatial resolution:<br> 1 km Temporal resolution:<br> 16 days Pixel values:<br> NDVI/EVI * 10000 (scaled to Integer; example: value 6473 = 0.6473) Software used:<br> GRASS GIS 8.0 Original dataset license:<br> All data products distributed by NASA's Land Processes Distributed Active Archive Center (LP DAAC) are available at no charge. The LP DAAC requests that any author using NASA data products in their work provide credit for the data, and any assistance provided by the LP DAAC, in the data section of the paper, the acknowledgement section, and/or as a reference. The recommended citation for each data product is available on its Digital Object Identifier (DOI) Landing page, which can be accessed through the Search Data Catalog interface. For more information see: https://lpdaac.usgs.gov/products/myd13a1v006/ Processed by:<br> mundialis GmbH & Co. KG, Germany (https://www.mundialis.de/)
description: Acknowledgements: This study was partially funded by EU grant 874850 MOOD. The contents of this publication are the sole responsibility of the authors and don't necessarily reflect the views of the European Commission.
DOI: 10.6084/m9.figshare.17919548.v2
title: Seed plants of the Qinling-Daba Mountains and adjacent areas: A database on taxonomy, geography, and ecology

description: The Qinling-Daba Mountains span subtropical and warm temperate zones and are one of the most remarkable biodiversity hotspots in China. Establishing a complete checklist of seed plants organized by nature reserves in the Qinling-Daba Mountains and adjacent areas is an important basis for managing and utilizing plant resources. First, we collected seed plant species data from published checklists representing 58 nature reserves in the Qinling-Daba Mountains and adjacent areas; second, we comprehensively and systematically sorted and integrated these data; third, we proofread and revised the data with the help of the R language and <i>Flora of China dataset </i>; and finally, we set up a seed plant database containing 96148 records, including the name, order, family, genus, life form, and endemism of each species for the entirety of the Qinling-Daba Mountains. The database contains 9491 species of seed plants belonging to 1729 genera, 211 families, and 59 orders, accounting for 39% of China’s seed plants.<br>
DOI: 10.17632/p6hydmxfzb.3
title: GRL_Kuriyama_etal_2022

description: This is a repository of data presented in  "Compton camera imaging of a gamma-ray glow from a thunderstorm" submitted to Geophysical Research Letters.
DOI: 10.17632/jptm8vc2n3.1
title: LINF_310019600

description: pentamidine resistance protein 1 | ABCC6
Leishmania infantum (strain JPCM5)
DOI: 10.17632/7c3rr2pg9n.1
title: LINF_310021100

description: pentamidine resistance protein 1 | PRP1 | ABCC7
Leishmania infantum (strain JPCM5)
DOI: 10.17632/gtprgxm7xm.1
title: LINF_310020800

description: RNA binding protein | PuREBP1
Leishmania infantum (strain JPCM5)
DOI: 10.17632/zcmr4jkzwr.1
title: R_code

description: SKCM_R_code
DOI: 10.17632/fzd5ndbxsy.1
title: Minimum weight clustered dominating tree problem

description: This data set corresponds to the instances used in the paper "Minimum weight clustered dominating tree problem" submitted to the European Journal of Operational Research.

Each file corresponds to an Euclidean instance. Nodes were randomly generated in a 100 x 100 square meters box. Two nodes i and j are connected by an edge {i,j} if their Euclidian distance is at most the value of the coverage radius in meters. 

The file name is: "den"+"RadiusValue"+"mts"+"Nodes_"+"NumberOfNodes_"+"Sequential"+".txt"

The instance files of the Clustered Dominating Tree Problem contain in the first line the number of nodes |V| and of edges |E| of the connected undirected graph G=(V,E). 

Line 1: |V|    |E|

The remaining lines, one for each edge {i,j} in E, give the edge extremities i and j and its cost c(i,j).

Lines from 2 to |E|+1:
i    j    c(i,j)
DOI: 10.17632/42dpzcw8y3.1
title: ARRESTING THE BIOSYNTHESIS OF LIPID A TO HINDER ESCHERICHIA COLI THROUGH FATTY DIGLYCERIDES 

description: Data set of all docking calculated output files (.pdb) for the article, titled "Arresting the biosynthesis of Lipid A to hinder Escherichia Coli through fatty diglycerides".
DOI: 10.17632/rpg3c7b3hy.1
title: data_share_weiyuan_region

description: 1. Temporary_Sta_Weiyuan includes the station info of the dense seismic network in the Weiyuan region，which is deployed by the Institute of Geophysics, CEA. This network consisted of 33 broadband stations with an average spacing of ~10 km. 
2. P_arrival_time_weiyuan_temporary_v2.dat includes the P-wave picks, which  are measured using the STA/LTA method.
DOI: 10.17632/7grjfnwsmw.1
title: Measles-Rubella Vaccine Research Data

description: Research data associated with our manuscript
DOI: 10.17632/mjcbpv69vr.2
title: Burnout and, classification coping data in athletes with disabilities

description: Data collected with athletes with disabilities with the aims: : i) to identify the most salient dimensions of burnout and coping strategies; ii) to analyze whether there is a difference in the perception of burnout or coping according to the placement in the championship; and iii) to analyze whether the classification is related to the dimensions of burnout and coping strategies. 
Three hypotheses were raised: first, we expected to find a difference in burnout perceptions between the dimensions. Second, we expected to find a difference in the perception of coping strategies. Third, we expect that the top two places in the competition present lower burnout and higher coping strategies than the last three places.
DOI: 10.17632/6y96vtx9r9.1
title: ROLE OF MASS MEDIA IN PREVENTING CRIME AND CULTURE

description: THIS ARTICLE FOCUSES ON THE ROLE OF MASS MEDIA IN PREVENTING CRIME AND CULTURE IN INDIA AND THE DATA IS GATHERED BY READING THE RESEARCH PAPERS ON THE TOPIC.
DOI: 10.17632/sy2w3gyg89.1
title: Structured Data

description: Public Security Database
DOI: 10.17632/73jxh429p4.1
title: Antibacterial activity of Nicotine and its Cadmium(II)-complex

description: The antimicrobial activity of Nicotine and Cadmium complex.
DOI: 10.17632/mfg64trszy.1
title: NGS datasets of Hordeum vulgare treated by ELICE16INDURES plant conditioner in fitotron

description: The research of plant-based biostimulants means a high potential in sustainable agriculture. A new generation plant biostimulant, named ELICE16INDURES® was produced in our institute, RIMPH LTD, Hungary and tested in fitotron and field-cultures of autumn barley (Hordeum vulgare) test crop. This liposome-formulated product contains eleven CO2 botanical extracts, that are rich in plant bio-active ingredients such as phenolic compounds, alkaloids, and flavonoids. This tech-nology based on cell-identical nano particles helps the better uptake and use of less amount of ac-tive ingredients. Gene expression profiling of this agent was tested in low and high (20 and 240 g*ha-1) dosage in fitotron experiments by using Illumina NextSeq550 sequencing. The processed NGS data of investigations are deposited here. 
The plant conditioning effect of low and high dosage of ELICE16INDURES was investigated in four repetitions of block system in field. The amount of the harvested crop showed significant increase of 27.5% and 39.9% interconnected to higher NDVI of 20% and 25% after low and high dosage of the investigated product, respectively.
DOI: 10.17632/tv7zjcjx36.1
title: Connotations of Animal Metaphors in the Jordanian Context

description: Data related to the manuscript titled 'Connotations of Animal Metaphors in the Jordanian Context'
DOI: 10.5525/gla.researchdata.1324
title: Glycopolymer-Functionalised MOF-808 Nanoparticles as a Cancer-Targeted Dual Drug Delivery System for Carboplatin and Floxuridine
DOI: 10.5517/ccdc.csd.cc2cb5mj
title: CCDC 2184527: Experimental Crystal Structure Determination

description: Related Article: W. Clegg, R.W. Harrington|2022|CSD Communication|||
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.cc2cb5nk
title: CCDC 2184528: Experimental Crystal Structure Determination

description: Related Article: W. Clegg, R.W. Harrington|2022|CSD Communication|||
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.cc2cb5pl
title: CCDC 2184529: Experimental Crystal Structure Determination

description: Related Article: W. Clegg, R.W. Harrington|2022|CSD Communication|||
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.cc2ckn4r
title: CCDC 2191704: Experimental Crystal Structure Determination

description: Related Article: Frank R. Fronczek|2022|CSD Communication|||
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.cc2cm66f
title: CCDC 2193194: Experimental Crystal Structure Determination

description: Related Article: Martin Nieger, Murat S. Bozkurt, Edgar Niecke|2022|CSD Communication|||
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.cc2cmpqf
title: CCDC 2193675: Experimental Crystal Structure Determination

description: Related Article: Frank R. Fronczek|2022|CSD Communication|||
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.cc2cn417
title: CCDC 2194088: Experimental Crystal Structure Determination

description: Related Article: Scarleth Yamilett Garza Gastelum, Leon Demby, Omar Christian, Frank R. Fronczek|2022|CSD Communication|||
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.cc2cn7z8
title: CCDC 2194210: Experimental Crystal Structure Determination

description: Related Article: Anthony Linden, Gabriel Borrego, Noureddine Khiar, Inmaculata Fernandez, Romano Dorta|2022|CSD Communication|||
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: 10.17632/pcr56xk8ns.2
title: Datos recopilados y simulados para tesis RC.

description: Contiene diferentes archivos .dat con los diferentes parámetros y conjuntos de datos necesarios para la utilización del modelo de espaciamiento de paraderos de sistemas BRT.
Se encuentra dividido en tres carpetas principales las cuales contienen los datos reales, procesados y simulados utilizados en el modelación. Dentro de cada una de estas carpetas se encuentran cuatro (4) subcarpetas, cada una de ellas hace referencia a los diferentes experimentos realizados. Por último, dentro de cada carpeta de experimento se encuentran diferentes archivos .dat con el tipo de dato correspondiente (simulado, procesado o real) y cuyo nombre se encuentra diferenciado según el escenario de estudio que corresponda.
DOI: 10.17632/sw4gfvr4vc.1
title: Space-time domain decomposition preconditioned GMRES algorithm for linear parabolic equations

description: We implement the multilevel space-time pure multiplicative Schwarz (STPMS) algorithm to solve the linear parabolic equations, i.e., the linear parabolic equations are solved by the multilevel multiplicative Schwarz preconditioned GMRES method in parallel on both space and time dimensions. The data shows the optimality and scalability of STPMS algorithm, i.e., it shows that the iteration counts of STPMS decrease with the increase of the overlap “ovlp”, and are bounded independently of the window size “s” and the number of subdomains “N_p”.
DOI: 10.17632/7kpnpt9cvj.2
title: SSNHL dataset

description: SSNHL dataset
DOI: 10.17632/3pccd4yp8m.4
title: SnapFib: An easy build Arduino based tabletop prototype for thin film deposition by Successive Ionic Layer Adsorption and Reaction method

description: 1. 3D design files
i) "Stepper_holder.f3d"
ii) "Slide_holder.f3d"
These files can be modified using any standard 3d CAD software.

2. PCB files
i) "SILAR.kicad_pcb"
ii) "SILAR.pro"
iii) "SILAR.sch"
The schematic file can be modified using Kicad software. The pdf file shows the 2d overview of the designed printed circuit board.

3. "gerbers"
This folder contains all the gerber files (An opersource ASCII format printed circuit board) for  suitable for manufacturing the PCB.

4. "arduino_firmware"
Folder containing the arduino firmware codes that can be modified using Arduino IDE.

5. Video files
i) "SnabFib operation" - Shows the operation of our designed hardware.
ii) "X-axis assembly" - Video demonstration
iii) "Y-axis assembly" - Video demonstration

6. "Images - Containing all the figures appeared in the article

7. "Visual Parts List" - docx file
DOI: 10.17632/bc9k7xypc9.1
title: Coded data and R scripts for the article-The polysemy of the Japanese temperature adjective atsui: A behavioral profile analysis

description: These are the coded dataset and R scripts for the article "Towards a dynamic behavioral profile of Mandarin Chinese temperature term re: A diachronic semasiological approach".