cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.4726072.v1
title: 10 - BATS_HOT_ALL_WG_tree

description: Phyllogenetic tree (nwk format ) of the 115 single cells (as well as of 5 HLII strains) based on whole-genome sequences (the alignment in file 9:BATS_HOT_ALL_WG_algn.fasta).
DOI: 10.6084/m9.figshare.4726033
title: 5 - ITS_HOT_BATS_115.fasta

description: ITS sequences of the 115 single cells (as well as of 5 HLII strains) with partial genomes that were analyzed in this study.
DOI: 10.6084/m9.figshare.4726036
title: 6- ITS_HOT_BATS_115_aligned.fasta

description: Multi-alignment of the ITS of the 115 single cells (as well as of 5 HLII strains) used to generate the tree in Fig S3.
DOI: 10.6084/m9.figshare.4726039.v1
title: 7 - ITS_HOT_BATS_115_single_cells_tree.nwk

description: Phyllogenetic tree of the 115 single cells (as well as of 5 HLII strains) based on ITS sequences. as presented in Fig S3.<br>
DOI: 10.6084/m9.figshare.4726042.v1
title: 9 - BATS_HOT_ALL_WG_algn.fasta

description: Reference-guide assembly of the partial genomes of the 115 single cells in the study. The reference genome used is C1_composite_genome (file no. 8 above).<br>This data was used to generate the whole-genome tree in Fig 3.
DOI: 10.6084/m9.figshare.4726033.v1
title: 5 - ITS_HOT_BATS_115.fasta

description: ITS sequences of the 115 single cells (as well as of 5 HLII strains) with partial genomes that were analyzed in this study.
DOI: 10.6084/m9.figshare.4726036.v1
title: 6- ITS_HOT_BATS_115_aligned.fasta

description: Multi-alignment of the ITS of the 115 single cells (as well as of 5 HLII strains) used to generate the tree in Fig S3.
DOI: 10.17034/0b94d99f-0417-4a3d-98b9-2a20ab89c132
title: Mathematica code for analytical results in "Supervised learning of time-independent Hamiltonians for gate design"

description: Mathematica code used to reproduce the analytical results presented in "Supervised learning of time-independent Hamiltonians for gate design"
DOI: 10.6084/m9.figshare.4725865
title: Data Yunes PLOS 2017.xls

description: xxxxx
DOI: 10.6084/m9.figshare.4725865.v2
title: Data Yunes PLOS 2017.xls

description: xxxxx
DOI: 10.6084/m9.figshare.4725865.v1
title: Data Yunes PLOS 2017.xls

description: Responses of the questionnaire survey to explore the beliefs and attitudes of Brazilians not associated with livestock production towards farm animal production (2015)
DOI: 10.17034/48708356-c4b4-4874-89c5-fdd97ba83e6b
title: Dataset for "Quantum state engineering using one-dimensional discrete-time quantum walks"

description: Code and data used for the paper: L. Innocenti, H. Majury, T. Giordani, N. Spagnolo, F. Sciarrino, M. Paternostro, A. Ferraro, Quantum state engineering using one-dimensional discrete-time quantum walks
DOI: 10.6084/m9.figshare.4725652
title: Basic_Rear_Surface_Contamination_Mechanism.png

description: Basic rear surface contamination process for a simple bluff body (Windsor Body).
DOI: 10.6084/m9.figshare.4725628
title: A functional signature of higher layers in hierarchical visual models

description: This dataset is generated from texture dataset on "http://www-cvr.ai.uiuc.edu/ponce_grp/data/". "natural_image" is generated to keep the natural statistics of original textures, while "sm_image" is keeping the spectral information the same while losing the high-order statistics.
DOI: 10.6084/m9.figshare.4725616
title: Consumos enegérticos Andalucía

description: Open Data Day 2017 <br>Oficina de Software Libre Universidad de Granada<br><br>Proyecto contamiAND<br>
DOI: 10.6084/m9.figshare.4725619
title: Consumo Energía Final

description: Open Data Day 2017<br>Oficina de Software Libre Universidad de Granada<br><br>Proyecto: contamiAND<br>
DOI: 10.6084/m9.figshare.4725652.v2
title: Basic_Rear_Surface_Contamination_Mechanism.png

description: Basic rear surface contamination process for a simple bluff body (Windsor Body).
DOI: 10.17034/897cb9ec-de7f-4a5a-a787-45700b1fa54d
title: Dataset for "Supervised learning of time-independent Hamiltonians for gate design"

description: Code and notebooks used to produce the results presented in: Luca Innocenti, Leonardo Banchi, Alessandro Ferraro, Sougato Bose, Mauro Paternostro (2020). "Supervised learning of time-independent Hamiltonians for gate design". New J. Phys. 22 065001 (arXiv:1803.07119). Content: Notebooks: Usage examples in the form of jupyter notebooks. Src: Source code. Data: Data used to produce the results shown in the paper, and more. It mostly contains saved trained nets, and its content is intended to be used through the provided interfaces (mostly defined in net_analysis_tools.py), as shown in the example notebooks.
DOI: 10.6084/m9.figshare.4725616.v1
title: Consumos enegérticos Andalucía

description: Open Data Day 2017 <br>Oficina de Software Libre Universidad de Granada<br><br>Proyecto contamiAND<br>
DOI: 10.6084/m9.figshare.4725589
title: Adaptive Unscented Kalman Filtering based on Correlated Inference with Application in GNSS/IMU integrated Navigation

description: the attached file contains the raw data of simulation test adn field test. In simulation file, the data file 'simulation_data.mat' contains the simulated imu and GPS point, as well as the time information.In field data file, the GPS postion, velocity and GPS time are stored in seperated files, which are 'pos_gps.data', 'v_gps.data', and 'time.data'; the IMU data is stored in file 'project1.imu'. The data can be used for looselt coupled integration as the raw measurements of GPS is not stored<br>
DOI: 10.6084/m9.figshare.4725610
title: Datos Parque Móvil Dgt

description: Open Data Day 2017<br>Odicina de Software Libre Universidad de Granada<br>Proyecto contaminAND<br>
DOI: 10.6084/m9.figshare.4725619.v1
title: New draft item

description: Open Data Day 2017<br>Oficina de Software Libre Universidad de Granada<br><br>Proyecto: contamiAND<br>
DOI: 10.6084/m9.figshare.4725610.v1
title: Datos Parque Móvil Dgt

description: Open Data Day 2017<br>Odicina de Software Libre Universidad de Granada<br>Proyecto contaminAND<br>
DOI: 10.6084/m9.figshare.4725562
title: Annotated checklist of the freshwater snails of Sabah (Malaysian Borneo)

description: Sabah, a Malaysian state at the northeastern tip of Borneo, is situated in one of the Earth’s biodiversity hotspots yet its freshwater gastropod diversity remains poorly known. We present an annotated checklist of the freshwater gastropods collected from Sabah, which have been deposited in the <i>BORNEENSIS </i>collection of the Institute for Tropical Biology and Conservation at Universiti Malaysia Sabah, Malaysia. We further provide a KMZ file, which acts as a repository of digital images and complete collection data of all examined material, so that it can be shared and adapted to facilitate future research.
DOI: 10.6084/m9.figshare.4725565
title: Transition dipole moment between (b triplet Sigma -) and (d triplet Pi) electronic states of C and H+ (MRCI+Q AV6Z).

description: Transition dipole moment (TDM) between (b triplet Sigma -) and (d triplet Pi) electronic states of C and H+ (MRCI+Q AV6Z). All quantities in atomic units. Babb and McLaughlin (2017)<br><br>
DOI: 10.6084/m9.figshare.4725565.v1
title: Transition dipole moment between (b triplet Sigma -) and (d triplet Pi) electronic states of C and H+ (MRCI+Q AV6Z).

description: Transition dipole moment (TDM) between (b triplet Sigma -) and (d triplet Pi) electronic states of C and H+ (MRCI+Q AV6Z). All quantities in atomic units. Babb and McLaughlin (2017)<br><br>
DOI: 10.6084/m9.figshare.4725535
title: marketing excel.xlsx

description: This is a spreadsheet of 1 of 10 companies in the shoe industry. Highlighting COGS, Total Revenue, Market share and Industry share.
DOI: 10.6084/m9.figshare.4725562.v1
title: Annotated checklist of the freshwater snails of Sabah (Malaysian Borneo)

description: Sabah, a Malaysian state at the northeastern tip of Borneo, is situated in one of the Earth’s biodiversity hotspots yet its freshwater gastropod diversity remains poorly known. We present an annotated checklist of the freshwater gastropods collected from Sabah, which have been deposited in the <i>BORNEENSIS </i>collection of the Institute for Tropical Biology and Conservation at Universiti Malaysia Sabah, Malaysia. We further provide a KMZ file, which acts as a repository of digital images and complete collection data of all examined material, so that it can be shared and adapted to facilitate future research.
DOI: 10.17034/06f54511-99fa-4d92-9fb5-febf54f4c629
title: Dataset for "Machine learning-based classification of vector vortex beams"

description: Source code and data for the paper: Taira Giordani, Alessia Suprano, Emanuele Polino, Francesca Acanfora, Luca Innocenti, Alessandro Ferraro, Mauro Paternostro, Nicoló Spagnolo, and Fabio Sciarrino, Machine learning-based classification of vector vortex beams, Phys. Rev. Lett. 124, 160401, (2020). Content: Notebooks: Jupyer notebooks containing code and explanations to reproduce the results of the paper. src. The notebooks use a number of supporting functions, which are all defined here. Data: Contains the datasets used in the notebooks. Saved_CNN_models. Pre-trained CNNs used in the notebooks.
DOI: 10.6084/m9.figshare.4725541.v2
title: River plastic emissions to the world's oceans

description: Plastics in the marine environment have become a major concern because of their persistence at sea, and adverse consequences to marine life and potentially human health. Implementing mitigation strategies requires an understanding and quantification of marine plastic sources, taking spatial and temporal variability into account. Here we present a global model of plastic inputs from rivers into oceans based on waste management, population density and hydrological information. Our model is calibrated against measurements available in the literature. We estimate that between 1.15 and 2.41 million tonnes of plastic waste currently enters the ocean every year from rivers, with over 74% of emissions occurring between May and October. The top 20 polluting rivers, mostly located in Asia, account for 67% of the global total. The findings of this study provide baseline data for ocean plastic mass balance exercises, and assist in prioritizing future plastic debris monitoring and mitigation strategies.Modelled plastic inputs into the ocean from rivers worldwide.The shapefile contains 40,760 river input locations (EPSG:4326, WGS 84) with the following attributes:<b>i_<i>level</i></b>: plastic input in tonnes per year. (<i>level=low, mid or high for lower, midpoint and upper estimates</i>)<b>i_<i>level</i>_<i>month</i></b>: plastic input in tonnes per month. (<i>level=low,mid,high; month=jan,feb,...,dec</i>)<b>runoff_</b><i><b>month</b></i>: monthly averaged runoff in catchment in mm per day. (<i>month=jan,feb,...,dec</i>)<b>mpw</b>: mismanaged plastic waste production in catchment in tonnes per year. <b>area</b>: catchment area in square kilometers.<br>
DOI: 10.6084/m9.figshare.4725541
title: Supplementary data for 'River plastic emissions to the world's oceans'

description: Plastics in the marine environment have become a major concern because of their persistence at sea, and adverse consequences to marine life and potentially human health. Implementing mitigation strategies requires an understanding and quantification of marine plastic sources, taking spatial and temporal variability into account. Here we present a global model of plastic inputs from rivers into oceans based on waste management, population density and hydrological information. Our model is calibrated against measurements available in the literature. We estimate that between 1.15 and 2.41 million tonnes of plastic waste currently enters the ocean every year from rivers, with over 74% of emissions occurring between May and October. The top 20 polluting rivers, mostly located in Asia, account for 67% of the global total. The findings of this study provide baseline data for ocean plastic mass balance exercises, and assist in prioritizing future plastic debris monitoring and mitigation strategies.Modelled plastic inputs into the ocean from rivers worldwide.The compressed .zip folder is a shapefile containing 40,760 river input locations (EPSG:4326, WGS 84) with the following attributes:<b>i_<i>level</i></b>: plastic input in tonnes per year. (<i>level=low, mid or high for lower, midpoint and upper estimates</i>)<b>i_<i>level</i>_<i>month</i></b>: plastic input in tonnes per month. (<i>level=low,mid,high; month=jan,feb,...,dec</i>)<b>runoff_</b><i><b>month</b></i>: monthly averaged runoff in catchment in mm per day. (<i>month=jan,feb,...,dec</i>)<b>mpw</b>: mismanaged plastic waste production in catchment in kg per year. <b>area</b>: catchment area in square meters.<br><br><i>## Added .csv file with XY locations for river outfalls and attributes above ##</i><br>
DOI: 10.6084/m9.figshare.4725499
title: telemetry.review.full.details.csv

description: A dataset for a systematic review of desert telemetry studies. Search terms 'radio tracking AND desert' and 'telemetry AND desert'. <br>
DOI: 10.6084/m9.figshare.4725478
title: PLOS_ONE_data.zip

description: The nature of the code used in the auditory cortex to represent complex auditory stimuli, such as naturally spoken words, remains a matter of debate. Here we argue that such representations are encoded by stable spatio-temporal patterns of firing within cell assemblies known as polychronous groups, or PGs. We develop a physiologically grounded, unsupervised spiking neural network model of the auditory brain with local, biologically realistic, spike-time dependent plasticity (STDP) learning, and show that the plastic cortical layers of the network develop PGs which convey substantially more information about the speaker independent identity of two naturally spoken word stimuli than does rate encoding that ignores the precise spike timings. We furthermore demonstrate that such informative PGs can only develop if the input spatio-temporal spike patterns to the plastic cortical areas of the model are relatively stable.
DOI: 10.6084/m9.figshare.4725481
title: realTimeData2017_02_24_13_02_27.txt

description: Time series data at 1000Hz of a tendon driven limb
DOI: 10.6084/m9.figshare.4725499.v1
title: telemetry.review.full.details.csv

description: A dataset for a systematic review of desert telemetry studies. Search terms 'radio tracking AND desert' and 'telemetry AND desert'. <br>
DOI: 10.6084/m9.figshare.4725481.v1
title: realTimeData2017_02_24_13_02_27.txt

description: Time series data at 1000Hz of a tendon driven limb
DOI: 10.6084/m9.figshare.4725472
title: Normative data for handgrip strength

description: Data on hand grip strength in children and adolescents
DOI: 10.6084/m9.figshare.4725478.v1
title: PLOS_ONE_data.zip

description: The nature of the code used in the auditory cortex to represent complex auditory stimuli, such as naturally spoken words, remains a matter of debate. Here we argue that such representations are encoded by stable spatio-temporal patterns of firing within cell assemblies known as polychronous groups, or PGs. We develop a physiologically grounded, unsupervised spiking neural network model of the auditory brain with local, biologically realistic, spike-time dependent plasticity (STDP) learning, and show that the plastic cortical layers of the network develop PGs which convey substantially more information about the speaker independent identity of two naturally spoken word stimuli than does rate encoding that ignores the precise spike timings. We furthermore demonstrate that such informative PGs can only develop if the input spatio-temporal spike patterns to the plastic cortical areas of the model are relatively stable.
DOI: 10.6084/m9.figshare.4725409
title: NanoSIMS measurement of resource transfer between Pythium ultimum and Bacillus subtilis

description: <b>NanoSIMS measurement of 13C, 15N and 18O transfer from hyphae of Pythium ultimum to spores and vegetative cells of Bacillus subtilis. <br>NanoSIMS measurements:<br></b>- Measurements were carried out in negative extraction mode with a DC source of primary Cs+ ions. <br>- 2 pA beam focused into 70 nm spot<br>- energy of collision was set to 16 keV<br>- scanning: 512 x 512 px matrix with 5msec dwell time per pixel<br>before analysis, samples surface of 60 x 60 µm was treated with 10 nA of low-energy (50 eV) Cs+ beam for 10 min<br>- detected secondary ion species: <sup>12</sup>C-, <sup>13</sup>C-, <sup>16</sup>O-, <sup>18</sup>O-,<sup>12</sup>C<sup>14</sup>N-, <sup>12</sup>C<sup>15</sup>N-, <sup>13</sup>C<sup>14</sup>N-, <sup>32</sup>S-<br>- mass resolving power: between 8000 and 12000, exit slit: 40 µm, wide entrance slit: 40 µm, aperture slit: 200 µm, energy slit: cutting 30% of secondary ions in high energy tail <br>- Bacterial and fungal biomass was analysed on a conductive chromium-coated, round-shaped silicon wafer<br>- Experiments were performed in duplicate<br>- fields of either 20 x 20, 30 x 30 or 40 x 40 µm were analysed depending on the arrangement of hyphae and bacterial cells<br>- Data were analysed with the Look@NanoSIMS software<br><br><br> <br><br><br><br>
DOI: 10.6084/m9.figshare.4725406
title: Beta lactamase gene clusters

description: Files describing beta lactamase gene clusters. The name of the file is the GI for the gene in the database representing all the genes represented by the GIs in the file.
DOI: 10.6084/m9.figshare.4725409.v1
title: NanoSIMS measurement of resource transfer between Pythium ultimum and Bacillus subtilis

description: <b>NanoSIMS measurement of 13C, 15N and 18O transfer from hyphae of Pythium ultimum to spores and vegetative cells of Bacillus subtilis. <br>NanoSIMS measurements:<br></b>- Measurements were carried out in negative extraction mode with a DC source of primary Cs+ ions. <br>- 2 pA beam focused into 70 nm spot<br>- energy of collision was set to 16 keV<br>- scanning: 512 x 512 px matrix with 5msec dwell time per pixel<br>before analysis, samples surface of 60 x 60 µm was treated with 10 nA of low-energy (50 eV) Cs+ beam for 10 min<br>- detected secondary ion species: <sup>12</sup>C-, <sup>13</sup>C-, <sup>16</sup>O-, <sup>18</sup>O-,<sup>12</sup>C<sup>14</sup>N-, <sup>12</sup>C<sup>15</sup>N-, <sup>13</sup>C<sup>14</sup>N-, <sup>32</sup>S-<br>- mass resolving power: between 8000 and 12000, exit slit: 40 µm, wide entrance slit: 40 µm, aperture slit: 200 µm, energy slit: cutting 30% of secondary ions in high energy tail <br>- Bacterial and fungal biomass was analysed on a conductive chromium-coated, round-shaped silicon wafer<br>- Experiments were performed in duplicate<br>- fields of either 20 x 20, 30 x 30 or 40 x 40 µm were analysed depending on the arrangement of hyphae and bacterial cells<br>- Data were analysed with the Look@NanoSIMS software<br><br><br> <br><br><br><br>
DOI: 10.6084/m9.figshare.4725244
title: Air Quality Visualization, P.Congresos, Granada, February 2017

description: Visualización de datos provenientes de la estación de análisis de contaminación situada en el Palacio de Congresos en Granada<br>
DOI: 10.6084/m9.figshare.4725406.v1
title: Beta lactamase gene clusters

description: Files describing beta lactamase gene clusters. The name of the file is the GI for the gene in the database representing all the genes represented by the GIs in the file.
DOI: 10.6084/m9.figshare.4725247
title: Air Quality, P.Congresos, Granada, Feb.2017

description: Data scraped from http://www.juntadeandalucia.es/medioambiente/site/portalweb/menuitem.7e1cf46ddf59bb227a9ebe205510e1ca/?vgnextoid=7e612e07c3dc4010VgnVCM1000000624e50aRCRD&vgnextchannel=3b43de552afae310VgnVCM2000000624e50aRCRD including all existing pages in Granada on February, 2017
DOI: 10.6084/m9.figshare.4725244.v1
title: Air Quality Visualization, P.Congresos, Granada, February 2017

description: Visualización de datos provenientes de la estación de análisis de contaminación situada en el Palacio de Congresos en Granada<br>
DOI: 10.6084/m9.figshare.4725247.v1
title: Air Quality, P.Congresos, Granada, Feb.2017

description: Data scraped from http://www.juntadeandalucia.es/medioambiente/site/portalweb/menuitem.7e1cf46ddf59bb227a9ebe205510e1ca/?vgnextoid=7e612e07c3dc4010VgnVCM1000000624e50aRCRD&vgnextchannel=3b43de552afae310VgnVCM2000000624e50aRCRD including all existing pages in Granada on February, 2017
DOI: 10.6084/m9.figshare.4725220
title: Literature Matrix For RME.xlsx

description: <i>This litarure matrix provides the idea of research in realistic mathematics education (RME) that has been conduted.</i><br>
DOI: 10.6084/m9.figshare.4724893
title: COMPARISON OF THE ICHTHYOFAUNA’S COMPOSITION IN DIFFERENT AREAS OF RUSSIAN AND KOREAN WATERS OF THE SEA OF JAPAN / EAST SEA

description: 748 species of fishes were registered in Russia and Korean waters of the Sea of Japan / East Sea. The similarity of species composition is the most sighificant in four most northern areas (81.4%). This index with more southern areas doesn't exceed 63.1%.
DOI: 10.6084/m9.figshare.4724860
title: dados_an_ecol.xlsx

description: Raw and transformed data from the manuscript.
DOI: 10.6084/m9.figshare.4724839
title: Air quality data, Granada, 1998- March 2017

description: Data scraped from http://www.juntadeandalucia.es/medioambiente/site/portalweb/menuitem.7e1cf46ddf59bb227a9ebe205510e1ca/?vgnextoid=7e612e07c3dc4010VgnVCM1000000624e50aRCRD&vgnextchannel=3b43de552afae310VgnVCM2000000624e50aRCRD including all existing pages in Granada until March 3rd, 2017<br>
DOI: 10.6084/m9.figshare.4724860.v1
title: dados_an_ecol.xlsx

description: Raw and transformed data from the manuscript.
DOI: 10.6084/m9.figshare.4724893.v2
title: COMPARISON OF THE ICHTHYOFAUNA’S COMPOSITION IN DIFFERENT AREAS OF RUSSIAN AND KOREAN WATERS OF THE SEA OF JAPAN / EAST SEA

description: 748 species of fishes were registered in Russia and Korean waters of the Sea of Japan / East Sea. The similarity of species composition is the most sighificant in four most northern areas (81.4%). This index with more southern areas doesn't exceed 63.1%.
DOI: 10.6084/m9.figshare.4724767
title: Landmark Error Study Data

description: Three dimensional data that belong to Shearer et al. Evaluating causes of error in landmark-based data collection using scanners. <br>From: Shearer BM, Cooke SB, Halenar LB, Reber SL, Plummer JE, Delson E, et al. (2017) Evaluating causes of error in landmark-based data collection using scanners. PLoS ONE12(11): e0187452. https://doi.org/10.1371/journal.pone.0187452
DOI: 10.6084/m9.figshare.4724839.v1
title: Air quality data, Granada, 1998- March 2017

description: Data scraped from http://www.juntadeandalucia.es/medioambiente/site/portalweb/menuitem.7e1cf46ddf59bb227a9ebe205510e1ca/?vgnextoid=7e612e07c3dc4010VgnVCM1000000624e50aRCRD&vgnextchannel=3b43de552afae310VgnVCM2000000624e50aRCRD including all existing pages in Granada until March 3rd, 2017<br>
DOI: 10.6084/m9.figshare.4724893.v1
title: COMPARISON OF THE ICHTHYOFAUNA’S COMPOSITION IN DIFFERENT AREAS OF RUSSIAN AND KOREAN WATERS OF THE SEA OF JAPAN / EAST SEA

description: 748 species of fishes were registered in Russia and Korean waters of the Sea of Japan / East Sea. The similarity of species composition is the most sighificant in four northerner areas (81.4%). This index with southerner areas doesn't exceed 63.1%.