cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.5514949
title: ChinaCropSM1km: a fine 1km daily Soil Moisture dataset for dryland wheat and maize across China during 1993–2018

description: ChinaCropSM1km provides 1km gridded daily Soil Moisture for Crop drylands across China over 1993–2018, which contains four daily datasets separately by crop type and soil depth (crop-type <sub>soil-depth</sub>). This dataset is wheat<sub>10-20.</sub> *** The data file is in “.tif" format *** Spatial extent: wheat drylands across China *** Soil depth: 10-20cm *** Temporal Resolution: Daily *** Pixel size: 1000 m *** Projection information: GCS_WGS_1984 *** Filename convention: Year_DOY.tif *** Year: Values from 1993 to 2018
DOI: 10.17608/k6.auckland.21313791
title: Computer simulated ship tracks for oceanic voyages

description: Maritime shipping paths were simulated between ecoprovinces of the Marine Ecoregions of the World (MEOW) biogeographic classification system (Spalding et al. 2007), using centroids generated via GIS to create point locations for each ecoprovince. Paths were simulated to not intersect with land. The dataset contains calculations of overall distance between centroids of each pair of ecoprovinces, i.e. the length of the path, and derivations of the minimum and maximum longitude and latitude along the path. <br> The goal was to calculate marine biosecurity risk due to two important voyage-related risk factors, voyage duration (based on path length) and cross-latitudinal extent of the voyage path (which affects seawater temperature range).
DOI: 10.17608/k6.auckland.21313791.v1
title: VoyRisk_interim-data.zip: Computer simulated ship tracks for oceanic voyages

description: Maritime shipping paths were simulated between ecoprovinces of the Marine Ecoregions of the World (MEOW) biogeographic classification system (Spalding et al. 2007), using centroids generated via GIS to create point locations for each ecoprovince. Paths were simulated to not intersect with land. The dataset contains calculations of overall distance between centroids of each pair of ecoprovinces, i.e. the length of the path, and derivations of the minimum and maximum longitude and latitude along the path. <br> The goal was to calculate marine biosecurity risk due to two important voyage-related risk factors, voyage duration (based on path length) and cross-latitudinal extent of the voyage path (which affects seawater temperature range).
DOI: 10.17608/k6.auckland.21313836
title: Source-Destination Marine Biosecurity Risk Quantifications: Final Data

description: <br>
DOI: 10.17608/k6.auckland.21313836.v1
title: EcoprovPair_final-data.zip: Source-Destination Marine Biosecurity Risk Quantifications: Final Data

description: The probability of a successful marine bioinvasion via global commercial shipping traffic is affected by the probability that marine non-indigenous species (NIS) will survive the journey between the origin and recipient locations, i.e. the probability of introduction. The two main voyage-related risk factors that affect the probability of introduction are duration and path. In addition, environmental similarity between the origin and recipient locations affects the probability that NIS that survived the journey will also survive to successfully establish an independently reproducing population, i.e., the probability of establishment. <br> The geographical locations from which source-destination risks can be quantified were defined using the Marine Ecoregions Of the World (MEOW) biogeographic classification system (Spalding et al. 2007) at the ecoprovince level of the hierarchy. Each of the six matrices in this dataset contains one of the following variables associated with each possible pair of 62 MEOW ecoprovinces: environmental distance, environmental similarity risk, physical distance (m), voyage duration risk, cross-latitude distance (decimal degrees), and voyage path risk. For each matrix, the 62 ecoprovinces are listed in the same order in both rows and columns. Values for each pair of ecoprovinces can be found at the intersection of row and column for each pairwise combination. <br> Environmental distances were obtained from Tzeng (2022) and used to calculate environmental similarity risk. Voyage-related marine biosecurity risks were calculated from computer-generated maritime vessel paths between pairs of ecoprovinces. The physical length of the path, i.e. physical distance, was used to calculate voyage duration risk. The cross-latitudinal extent of the path, i.e. cross-latitude distance, was used to calculate voyage path risk. In each case, the equation to calculate risk from distance was: risk = 1-(distance/ceiling(max(distance))). <br> The dataset is made available as six separate CSV files containing one of each matrix, and as a workspace file for the R computing environment. <br> References: Spalding, M.D., Fox, H.E., Allen, G.R., Davidson, N., Ferdaña, Z.A., Finlayson, M., Halpern, B.S., Jorge, M.A., Lombana, A., Lourie, S.A., Martin, K.D., McManus, E., Molnar, J., Recchia, C.A., and Robertson, J. (2007). Marine Ecoregions of the World: a bioregionalization of coast and shelf areas. BioScience 57: 573-583. DOI: http://dx.doi.org/10.1641/B570707 <br> Tzeng, M.W. (2022). Environmental Distances Between Marine Ecosystems of the World (MEOW) Ecoregions and Ecoprovinces. Frontiers in Marine Science 9: 764771. DOI: http://dx.doi.org/10.3389/fmars.2022.764771
DOI: 10.6084/m9.figshare.19362374
title: Merging imaging technologies and metabarcoding to assess Rhizaria abundances, diversity and contribution to the silicon cycle in the Mediterranean Sea

description: Siliceous Rhizaria (polycystine radiolarians and phaeodarians) are significant contributors to carbon and silicon biogeochemical cycles. Considering their broad taxonomic diversity and their wide size range (from a few micrometres up to several millimetres), a comprehensive evaluation of the entire community to carbon and silicon cycles is challenging. Here, we assess the diversity and contribution of silicified Rhizaria to the global biogenic silica stocks in the upper 500 m of the oligotrophic North-Western Mediterranean Sea using both imaging (FlowCAM, Zooscan and Underwater Vision Profiler) and molecular tools and data. While imaging data revealed that the most abundant organisms were the smallest, molecular results showed that the largest Rhizaria had the highest relative abundances. While this seems contradictory, relative abundance data obtained with molecular methods correlated well with the total biovolume of the organisms. This result reflects a potential link between gene copies number and the volume of a given cell allowing reconciling molecular and imaging data. Using abundance data from imaging methods we estimate that siliceous Rhizaria accounted for up to 6% of the total biogenic silica biomass of the siliceous planktonic community in the upper 500m of the water column. <br>This table gathers the abundances of the ASVs selected to recreate the figure 3 (panel C) from the paper described above.<br>The table has the following structure divided by columns:-sequence: The sequence of the ASV-ASV: the identification of the ASV-taxonomy: the associated PR2 taxonomy-total_presence: the number of samples that the ASV is present in-total_abundance: the total number of reads of the ASV-the remaining columns are the specific samples<br>
DOI: 10.6084/m9.figshare.19362374.v2
title: Merging imaging technologies and metabarcoding to assess Rhizaria abundances, diversity and contribution to the silicon cycle in the Mediterranean Sea

description: Siliceous Rhizaria (polycystine radiolarians and phaeodarians) are significant contributors to carbon and silicon biogeochemical cycles. Considering their broad taxonomic diversity and their wide size range (from a few micrometres up to several millimetres), a comprehensive evaluation of the entire community to carbon and silicon cycles is challenging. Here, we assess the diversity and contribution of silicified Rhizaria to the global biogenic silica stocks in the upper 500 m of the oligotrophic North-Western Mediterranean Sea using both imaging (FlowCAM, Zooscan and Underwater Vision Profiler) and molecular tools and data. While imaging data revealed that the most abundant organisms were the smallest, molecular results showed that the largest Rhizaria had the highest relative abundances. While this seems contradictory, relative abundance data obtained with molecular methods correlated well with the total biovolume of the organisms. This result reflects a potential link between gene copies number and the volume of a given cell allowing reconciling molecular and imaging data. Using abundance data from imaging methods we estimate that siliceous Rhizaria accounted for up to 6% of the total biogenic silica biomass of the siliceous planktonic community in the upper 500m of the water column. <br> Here you will find all scripts used in this study dealing with the metabarcoding data (processing raw sequencing results, ASV clustering, plotting and other analyses) and the resulting processed ASV table to build figure 3C. Scripts are named in order of execution and commented to ease their reusability. The ASV table gathers the abundances of the ASVs selected to recreate the figure 3 (panel C) from the paper described above. The table has the following structure divided by columns: -sequence: The sequence of the ASV -ASV: the identification of the ASV -taxonomy: the associated PR2 taxonomy -total_presence: the number of samples that the ASV is present in -total_abundance: the total number of reads of the ASV -the remaining columns are the specific samples <br> <br> <br>
DOI: 10.5281/zenodo.6373178
title: IDSEM Dataset

description: This database contains electricity bills related to energy consumption in Spanish households. The contents of bills are automatically generated following some statistics from official bodies. The main purpose of the dataset is for training machine learning algorithms, especially for designing new methods for extracting information from invoices. There are 86 different labels, which are related to several topics, such as the customer and marketer, the contract, energy consumption, or billing. The total number of invoices is 75.000. The files are organized in two directories: a training directory, with six subdirectories, each containing 5.000 invoices in PDF format and the corresponding labels in JSON files; and a test directory, with nine subdirectories, each containing 5.000 invoices in PDF format. There are two main zip files that contain the test and training sets (test.zip and training.zip). In addition, we have included separate files with a subset of the directories in each set, so it can be downloaded by parts. There is also a reduced version of the dataset with 100 invoices per directory, which is interesting for users who want to preview the content of the dataset before downloading it. IDSEM is an acronym for "an Invoices Database for the Spanish Electricity Market". More information can be found at https://idsem.ulpgc.es/ and in the following article: [1] Javier Sánchez, Agustín Salgado, Alejandro García, and Nelson Monzón, "IDSEM, an invoices database of the Spanish electricity market", Sci. Data, (2022).
DOI: 10.5281/zenodo.7389508
title: Models representative of the AGN spectral shapes (preliminary)

description: The Table gives the Models obtained that are representative of the AGN spectral shapes.
DOI: 10.5281/zenodo.7389507
title: Models representative of the AGN spectral shapes (preliminary)

description: The Table gives the Models obtained that are representative of the AGN spectral shapes.
DOI: 10.5281/zenodo.7347569
title: FDTD simulation of stack of 290 nm PAAO and various thickness DLC:Ag mixture in different mediums (AoI 45 deg., s-polarization)

description: FDTD software: Lumerical (Ansys, version 2021 R2.3). Structure: aluminum (Palik) substrate; 290 nm thickness (<em>h</em>e) aluminum oxide (Palik) layer with 35 nm diameter (<em>RPo</em>) cylindrical pores with 100 nm distance (<em>D</em>) between the pore centers (representing porous anodized aluminum oxide - PAAO); 35/50/65 nm thickness (<em>DLC</em>) layer with experimentally obtained optical properties of diamond-like carbon and silver nanocomposite (DLC:Ag). The pores extend through both PAAO and DLC:Ag layers as it was observed in SEM images. DLC:Ag optical properties are averaged result of the layer properties in DLC:Ag nanocomposite obtained by fitting spectroscopic ellipsometry data, which is available here: https://doi.org/10.5281/zenodo.7341684 The file used in the simulations is provided in this data set. Here DLC:Ag is considered as homogeneous materials without separating DLC and Ag phases. Refractive index of the surrounding medium (<em>n</em>): 1.0; 1.1; 1.2; 1.3. Simulation region: from 300 nm below the substrate/PAAO interface to 1.3 µm above PAAO surface; x and y spans are equal to one period of the structure. Mesh override region: from 50 nm below the PAAO to 50 nm above DLC:Ag; 2 nm step size in each direction. Light source: BFAST plane wave light source; 500 nm above PAAO; 45° angle of incidence (<em>ang</em>); 300 nm – 1000 nm wavelength range; s-polarization (<em>pol</em>). Monitor (frequency domain field and power): 2D Z-normal; 1 µm above PAAO; results are in "<em>_reflection.txt</em>" files. Information in the file name: <em>he</em> - thickness of PAAO; <em>DLC</em> - thickness of DLC:Ag; <em>pol</em> - polarization; <em>RPo</em> - diameter of pores; <em>D</em> - distance between pore centers; <em>ang</em> - angle of incidence; <em>n</em> - refractive index of surrounding medium. Files: (1) "<em>_reflection.txt</em>" - lambda(nm) (first column) - wavelength in nanometers; Y (second column) - T data from the monitor above the structure. (2) "<em>_p0.log</em>" - log file produced by the software while running the simulation. (3) "<em>.fsp</em>" - Lumerical software file containing the simulation project (license required to open these files). (4) "<em>Lumerical_Screenshots.pdf</em>" - shows software screenshots for every object and its every property; red text is added to show which values are different for different simulations. (5) "<em>Structure_Illustration.png</em>" - a schematic of modeled structure. (6) "<em>PAAO290nm.jpg</em>" - a preview of data from "<em>_reflection.txt</em>" files. (7) "<em>DLC_Ag_SE_nk_average.txt</em>" - contains DLC:Ag optical properties (first column - wavelength in nanometers; second column - refractive index; third column - extinction coefficient).
description: The research was carried out under postdoctoral project "Patterned hybrid multilayer films for optical sensors", No. 1.1.1.2/VIAA/4/20/615.
DOI: 10.5281/zenodo.7373472
title: Aligning Active Particles Simulation Data

description: Simulation Data for Vicsek Model and related models, created by aappp software, see: https://github.org/kuersten/aappp/ The example simulation data presented here show some of the features of the aappp software
description: The author acknowledges funding through a 'María Zambrano' postdoctoral grant at University of Barcelona financed by the Spanish Ministerio de Universidades and the European Union (Next Generation EU/PRTR). The author thanks Universitätsrechenzentrum Greifswald for supporting this work by providing computational resources.
description: {"references": ["https://doi.org/10.48550/arXiv.2211.15630"]}
DOI: 10.5281/zenodo.7347568
title: FDTD simulation of stack of 290 nm PAAO and various thickness DLC:Ag mixture in different mediums (AoI 45 deg., s-polarization)

description: FDTD software: Lumerical (Ansys, version 2021 R2.3). Structure: aluminum (Palik) substrate; 290 nm thickness (<em>h</em>e) aluminum oxide (Palik) layer with 35 nm diameter (<em>RPo</em>) cylindrical pores with 100 nm distance (<em>D</em>) between the pore centers (representing porous anodized aluminum oxide - PAAO); 35/50/65 nm thickness (<em>DLC</em>) layer with experimentally obtained optical properties of diamond-like carbon and silver nanocomposite (DLC:Ag). The pores extend through both PAAO and DLC:Ag layers as it was observed in SEM images. DLC:Ag optical properties are averaged result of the layer properties in DLC:Ag nanocomposite obtained by fitting spectroscopic ellipsometry data, which is available here: https://doi.org/10.5281/zenodo.7341684 The file used in the simulations is provided in this data set. Here DLC:Ag is considered as homogeneous materials without separating DLC and Ag phases. Refractive index of the surrounding medium (<em>n</em>): 1.0; 1.1; 1.2; 1.3. Simulation region: from 300 nm below the substrate/PAAO interface to 1.3 µm above PAAO surface; x and y spans are equal to one period of the structure. Mesh override region: from 50 nm below the PAAO to 50 nm above DLC:Ag; 2 nm step size in each direction. Light source: BFAST plane wave light source; 500 nm above PAAO; 45° angle of incidence (<em>ang</em>); 300 nm – 1000 nm wavelength range; s-polarization (<em>pol</em>). Monitor (frequency domain field and power): 2D Z-normal; 1 µm above PAAO; results are in "<em>_reflection.txt</em>" files. Information in the file name: <em>he</em> - thickness of PAAO; <em>DLC</em> - thickness of DLC:Ag; <em>pol</em> - polarization; <em>RPo</em> - diameter of pores; <em>D</em> - distance between pore centers; <em>ang</em> - angle of incidence; <em>n</em> - refractive index of surrounding medium. Files: (1) "<em>_reflection.txt</em>" - lambda(nm) (first column) - wavelength in nanometers; Y (second column) - T data from the monitor above the structure. (2) "<em>_p0.log</em>" - log file produced by the software while running the simulation. (3) "<em>.fsp</em>" - Lumerical software file containing the simulation project (license required to open these files). (4) "<em>Lumerical_Screenshots.pdf</em>" - shows software screenshots for every object and its every property; red text is added to show which values are different for different simulations. (5) "<em>Structure_Illustration.png</em>" - a schematic of modeled structure. (6) "<em>PAAO290nm.jpg</em>" - a preview of data from "<em>_reflection.txt</em>" files. (7) "<em>DLC_Ag_SE_nk_average.txt</em>" - contains DLC:Ag optical properties (first column - wavelength in nanometers; second column - refractive index; third column - extinction coefficient).
description: The research was carried out under postdoctoral project "Patterned hybrid multilayer films for optical sensors", No. 1.1.1.2/VIAA/4/20/615.
DOI: 10.5281/zenodo.7373471
title: Aligning Active Particles Simulation Data

description: Simulation Data for Vicsek Model and related models, created by aappp software, see: https://github.org/kuersten/aappp/ The example simulation data presented here show some of the features of the aappp software
description: The author acknowledges funding through a 'María Zambrano' postdoctoral grant at University of Barcelona financed by the Spanish Ministerio de Universidades and the European Union (Next Generation EU/PRTR). The author thanks Universitätsrechenzentrum Greifswald for supporting this work by providing computational resources.
description: {"references": ["https://doi.org/10.48550/arXiv.2211.15630"]}
DOI: 10.15151/esrf-es-1017363142
title: Structural Biology at EMBL Grenoble, IBS-CIBB and IAB

description: This proposal clusters crystallography projects at the EMBL Grenoble, IBS and IAB working on different topics with a focus on nucleic acid-protein complexes and host-pathogen interactions. The proposers have long-standing experience in the use, as well as the development of beam lines for macromolecular crystallography and have participated in successive BAG applications over the years, mostly at the ESRF but also at other synchrotrons (i.e. Soleil, Petra II, Diamond, SLS)
DOI: 10.15151/esrf-es-977947271
title: BAG Montpellier

description: The BAG of Montpellier ...
DOI: 10.15151/esrf-es-1013122818
title: Nanostructural characterisation of protein interactions with lipid bilayer membranes: basis for biosensor development

description: This proposal is part of a larger project that will develop a novel biosensor, based on nanostructured biomimetic lipid membranes, to detect plasma protein biomarkers of severe pathologies. The project will characterise, at the nanoscale, the structure/function relationship linked to the interaction of protein biomarkers with biologically relevant lipids. These interactions will be investigated by means of scattering techniques using large-scale facilities to optimise the lipid composition for specific biomarker detection.
DOI: 10.5281/zenodo.6638465
title: Dataset for: Dynamics of a pair of magnetic dipoles with nonreciprocal interactions due to a moving conductor

description: Includes data and code for the corresponding article. The code is written in Python with a corresponding list of packages included in the archive. The README.txt file includes more detail on the different folders and files.
description: Funding acknowledgement: we acknowledge support by the Austrian Science Fund FWF within the DK-ALM (W1259-N27) and by the SFB FoQus (F4018).
DOI: 10.5281/zenodo.6638466
title: Dataset for: Dynamics of a pair of magnetic dipoles with non-reciprocal interactions due to a moving conductor

description: Includes data and code for the corresponding article. The code is written in Python with a corresponding list of packages included in the archive. The README.txt file includes more detail on the different folders and files.
description: Funding acknowledgement: we acknowledge support by the Austrian Science Fund FWF within the DK-ALM (W1259-N27) and by the SFB FoQus (F4018).
DOI: 10.5281/zenodo.7389523
title: Dataset for: Dynamics of a pair of magnetic dipoles with nonreciprocal interactions due to a moving conductor

description: Includes data and code for the corresponding article. The code is written in Python with a corresponding list of packages included in the archive. The README.txt file includes more detail on the different folders and files.
description: Funding acknowledgement: we acknowledge support by the Austrian Science Fund FWF within the DK-ALM (W1259-N27) and by the SFB FoQus (F4018).
DOI: 10.15151/esrf-es-892046505
title: FInnish National Protein Crystallography Consortium

description: The Finnish BAG encompasses 24 groups active in crystallography in Finland. The projects vary widely and include membrane proteins and protein complexes, other proteins involved in disease and antibiotics and drug development and discovery (endoplasmic regulation and protein secretion, ADP-ribosylation and several oncogenic proteins including kinases, biocatalysis) and several pathogen proteins and various enzyme targets and e.g. studies on phytochrome photoreceptors and complexes involved in actin dynamics regulation. Overall the BAG serves the national needs for highly variable projects, with different biological and biotechnological applications. Several project will benefit from microfocus beam lines and tunable wavelength options for phasing, others benefit from quick robust screening by MASSIF. Biology lab is needed for SAXS experiments.
DOI: 10.5281/zenodo.7243261
title: Observation, simulation and sensitivity test data of peroxy radical in October 2018

description: Observation, simulation and sensitivity test data of peroxy radical in October 2018
DOI: 10.5281/zenodo.7243262
title: Observation, simulation and sensitivity test data of peroxy radical in October 2018

description: Observation, simulation and sensitivity test data of peroxy radical in October 2018
DOI: 10.5281/zenodo.7389556
title: Observation, simulation and sensitivity test data of peroxy radical in October 2018

description: Observation, simulation and sensitivity test data of peroxy radical in October 2018