cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.11588/data/g6p9mk/armupr
title: 230602_Datenanhang_Schneider.tab

description: :unav
DOI: 10.34740/kaggle/dsv/5847481
title: AutoXGB
DOI: 10.6084/m9.figshare.21975287
title: Blast Disease_Dataset

description: Paddy crop diseases dataset
DOI: 10.6084/m9.figshare.21975287.v1
title: Blast Disease_Dataset

description: Paddy crop diseases dataset
DOI: 10.21227/8a9f-m176
title: Chinese Tea Sprout Dataset

description: On the basis of autonomous mobile tea picking robot, aiming at the shortcomings of traditional tea bud identification methods such as slow speed, low accuracy and poor adaptability, as well as people's demand for high-quality tea, the research and experiment of tea bud quality classification recognition based on YOLOv5 were carried out. Through the construction of the autonomous mobile tea picking robot visual recognition system, the data set was constructed, which mainly included tea image acquisition, enhancement and annotation. YOLOv5 and SSD target detection algorithms were used to conduct model training experiments, and the experimental data was analyzed. The experimental results show that the average accuracy of YOLOv5 target detection algorithm is high.The analysis of experimental data shows that the YOLOv5 target detection algorithm has a good effect on classification identification of tea buds, which can provide technical support and theoretical guidance for classification identification of tea buds and intelligent picking.
DOI: 10.21227/06v1-z638
title: Chinese Tea Sprout Dataset

description: On the basis of autonomous mobile tea picking robot, aiming at the shortcomings of traditional tea bud identification methods such as slow speed, low accuracy and poor adaptability, as well as people's demand for high-quality tea, the research and experiment of tea bud quality classification recognition based on YOLOv5 were carried out. Through the construction of the autonomous mobile tea picking robot visual recognition system, the data set was constructed, which mainly included tea image acquisition, enhancement and annotation. YOLOv5 and SSD target detection algorithms were used to conduct model training experiments, and the experimental data was analyzed. The experimental results show that the average accuracy of YOLOv5 target detection algorithm is high.The analysis of experimental data shows that the YOLOv5 target detection algorithm has a good effect on classification identification of tea buds, which can provide technical support and theoretical guidance for classification identification of tea buds and intelligent picking.
DOI: 10.4121/16989046.v1
title: DynaHicS Confined Wave Impact Data

description: This dataset includes laboratory measurements carried out in the wave flume of the Faculty of Civil Engineering at Delft University of Technology. These laboratory measurements were part of the DynaHicS Project, and were focused on improving the understanding of confined wave impact loads on vertical hydraulic structures with overhangs. Based on those laboratory measurements, loading prediction expressions were developed for this time of wave impacts. In this dataset, the incident wave conditions and the pressure measurements are presented for all laboratory tests.
DOI: 10.6084/m9.figshare.23294834
title: Milab data for analysis

description: This data set was collected and used during the evaluation and validation of Milab, a software that simulates science laboratories for Malawian Secondary Schools. The data consisted of answers to a questionnaire that was administered to ascertain the suitability of the software. It contains responses from 39 participants, all of which are secondary School students.
DOI: 10.17632/kxrcmtyfr6.1
title: Behavior_Early_Stress

description: PART 1- XY position of each animal in each experimental condition

PART 2 of dataset:
https://data.mendeley.com/datasets/fgsyppvpnc/draft?a=bc4739f1-7311-4019-99e0-ec3bfb51e8f6
DOI: 10.6084/m9.figshare.21164425
title: Fatty acids composition on diet and whole body, growth performance, body indices and profile blood serum of Asian redtail catfish (Hemibagrus nemurus) fed a diet containing different levels of EPA and DHA.

description: This study analyzed the addition of EPA and DHA sourced from fish oil to fish feed and their effect on the fatty acid composition of the carcass body, growth performance, body indices, and blood serum metabolites of the Asian redtail catfish, Bagridae (Hemibagrus nemurus).
DOI: 10.6084/m9.figshare.22016024
title: Chromosome-level genome assembly and annotation of the prickly nightshade Solanum rostratum

description: The annotation information of the prickly nightshade Solanum rostratum, including non-coding RNAs, repeat sequences and protein-coding genes.
DOI: 10.17632/78d5pc7f7w.2
title: Implicit Guarantees and the Rise of Shadow Banking: the Case of Trust Products

description: This folder contains the data and code to reproduce tables and figures in 
“Implicit Guarantees and the Rise of Shadow Banking: The Case of Trust Products”
by Franklin Allen, Xian Gu, Wei Li, Jun Qian and Yiming Qian
DOI: 10.22008/fk2/ipoht5
title: pypromice

description: The pypromice toolbox is for retrieving, processing and handling PROMICE (Programme for Monitoring of the Greenland Ice Sheet) datasets, including automated weather station (AWS) data. The content here reflects pypromice releases for processing and handling the AWS data products. See the pypromice Github repo for recent developments and full documentation.
DOI: 10.5281/zenodo.6327048
title: TARA Pacific CDIV cnidarian host taxonomic annotation release version 1_1

description: This data is the result of the primary analysis of the 18SV9 sequencing data and photos associated with the Coral Diversity dataset collected from all islands as part of the Tara Pacific expedition. A full README is contained within the data upload.
description: Special thanks to the Tara Ocean Foundation, the R/V Tara crew and the Tara Pacific Expedition Participants (https://doi.org/10.5281/zenodo.3777760). We are keen to thank the commitment of the following institutions for their financial and scientific support that made this unique Tara Pacific Expedition possible: CNRS, PSL, CSM, EPHE, Genoscope, CEA, Inserm, Université Côte d'Azur, ANR, agnès b., UNESCO-IOC, the Veolia Foundation, the Prince Albert II de Monaco Foundation, Région Bretagne, Billerudkorsnas, AmerisourceBergen Company, Lorient Agglomération, Oceans by Disney, L'Oréal, Biotherm, France Collectivités, Fonds Français pour l'Environnement Mondial (FFEM), Etienne Bourgois, and the Tara Ocean Foundation teams. Tara Pacific would not exist without the continuous support of the participating institutes. The authors also particularly thank Serge Planes, Denis Allemand, and the Tara Pacific consortium.
DOI: 10.5281/zenodo.6364768
title: Tara Pacific Qualitative Photo Annotations

description: This data is the result of photographic annotations done manually through Matlab for the photographs captured during the Tara Pacific Expedition (2016-2018). More details can be found in the readme file.
description: Special thanks to the Tara Ocean Foundation, the R/V Tara crew and the Tara Pacific Expedition Participants (https://doi.org/10.5281/zenodo.3777760). We are keen to thank the commitment of the following institutions for their financial and scientific support that made this unique Tara Pacific Expedition possible: CNRS, PSL, CSM, EPHE, Genoscope, CEA, Inserm, Université Côte d'Azur, ANR, agnès b., UNESCO-IOC, the Veolia Foundation, the Prince Albert II de Monaco Foundation, Région Bretagne, Billerudkorsnas, AmerisourceBergen Company, Lorient Agglomération, Oceans by Disney, L'Oréal, Biotherm, France Collectivités, Fonds Français pour l'Environnement Mondial (FFEM), Etienne Bourgois, and the Tara Ocean Foundation teams. Tara Pacific would not exist without the continuous support of the participating institutes. The authors also particularly thank Serge Planes, Denis Allemand, and the Tara Pacific consortium.
DOI: 10.5281/zenodo.7134158
title: A global historical twice-daily (daytime and nighttime) land surface temperature dataset produced by AVHRR observations from 1981 to 2021 (2001–2005)

description: Land surface temperature (LST) is a key variable for monitoring and evaluating global long-term climate change. However, existing satellite-based twice-daily LST products only date back to 2000, which makes it difficult to obtain robust long-term temperature variations. We developed the first global historical twice-daily LST dataset (GT-LST), with a spatial resolution of 0.05°, using Advanced Very High Resolution Radiometer Level-1b Global Area Coverage data from 1981 to 2021. Validation with in situ measurements from Surface Radiation Budget sites showed that the overall root-mean-square errors of GT-LST varied from 2.0 K to 3.9 K. Inter-comparison with a common LST product (i.e., MYD11A1) revealed that the overall root-mean-square-difference was approximately 3.2 K. More details of this dataset can be seen in <em>readme.pdf.</em> This dataset provides GT-LST product from 2001 to 2005.
DOI: 10.5281/zenodo.7331337
title: Characterizing the automatic radon flux Transfer Standard system Autoflux: laboratory calibration and field experiments

description: Data from the manuscript: Characterizing the automatic radon flux Transfer Standard system Autoflux: laboratory calibration and field experiments. The present folder contains: Exhalation Bed data (data and plots from the characterization of the exhalation bed of the Cantabria University) ANSTO Autoflux (data and plots of the calibration of the Autoflux radon flux system) INTE_UPC (data and plots of the calibration of the INTE_UPC radon flux system)
description: This project 19ENV01 has received funding from the EMPIR programme co-financed by the Participating States and from the Europe'n Union's Horizon 2020 research and innovation programme.
DOI: 10.5281/zenodo.7346379
title: Scripts for the paper entitled "Comment on 'Climate consequences of hydrogen emissions' by Ocko and Hamburg (2022)"

description: This repository contains scripts used to generate equations and results in the paper "Comment on 'Climate consequences of hydrogen emissions' by Ocko and Hamburg (2022)". Please contact the corresponding author for any questions: Lei Duan (leiduan@carnegiescience.edu)
DOI: 10.5281/zenodo.7754554
title: Dataset for "Myoglobin-derived iron causes wound enlargement and impaired regeneration in pressure injuries of muscle"

description: Primary images, data and quantification spreadsheets for "Myoglobin-derived iron causes wound enlargement and impaired regeneration in pressure injuries of muscle"
DOI: 10.6084/m9.figshare.21878946
title: PacBio Hi-Fi genome assembly of the Iberian dolphin freshwater mussel Unio delphinus Spengler, 1793

description: Mussels of order Unionida are a group of strictly freshwater bivalves with nearly 1,000 described species widely dispersed across world freshwater ecosystems. They are highly threatened showing the highest record of extinction events within faunal taxa. Conservation is particularly concerning in species occurring in the Mediterranean biodiversity hotspot that are exposed to multiple anthropogenic threats, possibly acting in synergy. That is the case of the dolphin freshwater mussel <em>Unio delphinus</em> Spengler, 1793, endemic to the western Iberian Peninsula with recently strong population declines. To date, only four genome assemblies are available for the order Unionida and only one European species. We present the first genome assembly of <em>Unio delphinus</em>. We used the PacBio HiFi to generate a highly contiguous genome assembly<em>. </em>The assembly is 2.5 Gb long, possessing 1254 contigs with a contig N50 length of 10 Mbp. This is the most contiguous freshwater mussel genome assembly to date and is an essential resource for investigating the species' biology and evolutionary history that ultimately will help to support conservation strategies.
DOI: 10.6084/m9.figshare.22795700
title: Supplementary material.rar

description: Supplementary material to paper "Copulatory behaviour and genital mechanics suggest sperm allocation by a non-intromittent sclerite in a pholcid spider"
DOI: 10.5281/zenodo.7082661
title: Dataset for global sensitivities of reactive N and S gas and particle concentrations and deposition to precursor emissions reductions

description: This data set contains model outputs and python scripts for the analysis presented at the paper: Global sensitivities of reactive N and S gas and particle concentrations and deposition to precursor emissions reductions.
DOI: 10.5281/zenodo.7113080
title: A global historical twice-daily (daytime and nighttime) land surface temperature dataset produced by AVHRR observations from 1981 to 2021 (1981–2000)

description: Land surface temperature (LST) is a key variable for monitoring and evaluating global long-term climate change. However, existing satellite-based twice-daily LST products only date back to 2000, which makes it difficult to obtain robust long-term temperature variations. We developed the first global historical twice-daily LST dataset (GT-LST), with a spatial resolution of 0.05°, using Advanced Very High Resolution Radiometer Level-1b Global Area Coverage data from 1981 to 2021. Validation with in situ measurements from Surface Radiation Budget sites showed that the overall root-mean-square errors of GT-LST varied from 2.0 K to 3.9 K. Inter-comparison with a common LST product (i.e., MYD11A1) revealed that the overall root-mean-square-difference was approximately 3.2 K. More details of this dataset can be seen in <em>readme.pdf.</em> This dataset provides GT-LST product from 1981 to 2000.
DOI: 10.14459/2023mp1705720
title: Data underlying the publication: Vein fate determined by flow-based but time-delayed integration of network architecture

description: The dataset contains code and raw data used in the publication “Vein fate determined by flow-based but time-delayed integration of network architecture”. The provided code allows the measurement of flow fields as well as vein diameters from microscopy images in the zoomed setting. For the full network images, the flowfield is calculated numerically from the peristaltic contractions of the vein walls. The data provided includes movies of the microscopy data used to measure flow fields and the full network images.<br> Additionally, analysis code is provided to make the fits between the model and data as well as a routine to extract the time delay between shear and diameter signal.
DOI: 10.26050/wdcc/coastdat3_cosmo-clm_merra2
title: coastDat3 COSMO-CLM MERRA2

description: Project: open feed-in time series based on a Renewable Energy Database - The dataset was produced in the framework of the project openFRED. The data are dedicated to force energy system models, i.e. relevant parameters for wind energy (gust estimates), for solar energy (direct normal irradiation) and hydropower (runoff). The project was founded by Bundesministeriums für Wirtschaft und Energie, FKZ: 0324006B. Summary: This is an atmospheric hindcast for Western Europe and the North Atlantic using COSMO-CLM version 5.0 with spectral nudging from 2002-2017. MERRA2 reanalysis data are used as forcing. Additionally transient and monthly aerosol data of the MACv2 climatology are prescribed. The model uses a rotated grid with 566 x 481 grid points and a grid point distance of 0.0625 degrees, the rotated North pole is located at 162.0 W, 39.25 N. The published data excludes the sponge zone and have 526 x 441 grid points. In rotated coordinates the published simulation data extends from 22.64 W to 10.18 E, 11.2 S to 16.3 N, in geographical coordinates this corresponds to about 12 W to 30 E, 39 N to 60 N. institution: Helmholtz-Zentrum Geesthacht, Institute of Coastal Research, Germany source: int2lm_131101_2.00_clm4, COSMO-CLM5.0_clm14_aerosol_gust (available at DKRZ's LTA WDCC service) contact: http://coastmod.hzg.de originator: Ronny Petrik crs: EPSG:4326
DOI: 10.4121/70ae7f4c-f87f-45f1-8360-f4958a60249f.v1
title: Data underlying the publication: Free-vortex models for wind turbine wakes under yaw misalignment - a validation study on far wake effects

description: This data set contains time-resolved measurements of a scaled model wind turbine wake, acquired using tomographic PIV, undergoing a step change in yaw angle. The measurements consist of 4 volumes, centered around 1D, 2D, 3D and 4D downstream of the turbine. Here, distance is expressed by the size of the rotor diameter D. The measurements include the three-dimensional locations and velocity components.
DOI: 10.5281/zenodo.6511057
title: Microsoft Academic Graph

description: This is the Microsoft Academic Graph data from 2021-09-13. To get this, you'd normally jump through these hoops: https://docs.microsoft.com/en-us/academic-services/graph/get-started-setup-provisioning As required by ODC-BY, I acknowledge Microsoft Academic using the URI https://aka.ms/msracad. You can find out more about the data schema of the Microsoft Academic Graph at: https://web.archive.org/web/20220218202531/https://docs.microsoft.com/en-us/academic-services/graph/reference-data-schema<br> Since Microsoft docs are covered by different licensing terms, the documentation cannot be provided along with the data. There were no changes to the files except compressing them with zstd (-T8 -19). This results in a smaller packed size, but still more data than the previous version. The compressed files will expand to the following sizes (output of zstd -l): <pre><code>Compressed Uncompressed Ratio Filename 1.39 MiB 5.30 MiB 3.822 Affiliations.txt.zst 4.45 MiB 15.7 MiB 3.518 AuthorExtendedAttributes.txt.zst 4.29 GiB 17.4 GiB 4.052 Authors.txt.zst 575 KiB 2.55 MiB 4.530 ConferenceInstances.txt.zst 126 KiB 453 KiB 3.598 ConferenceSeries.txt.zst 1.56 MiB 5.96 MiB 3.820 Journals.txt.zst 12.5 GiB 51.7 GiB 4.137 PaperAuthorAffiliations.txt.zst 687 MiB 2.76 GiB 4.116 PaperExtendedAttributes.txt.zst 7.32 GiB 40.5 GiB 5.530 PaperReferences.txt.zst 1.23 MiB 9.72 MiB 7.894 PaperResources.txt.zst 18.5 GiB 72.0 GiB 3.898 Papers.txt.zst 5.59 GiB 34.7 GiB 6.203 PaperUrls.txt.zst -------------------------------------------------- 48.9 GiB 219 GiB 4.484 XXH64 12 files </code></pre> This data is not the whole set what you get to download, there is much more (roughly 160GiB compressed), but the upload quota only permits this much. The additional data is retained and you may ask for it. The additional data is huge, so be prepared to provide sftp, rsync or similar access to drop the files in. If you want to <strong>donate an update</strong> but lack the bandwidth to download and repack the set, feel free to contact me (details via my ORCiD page), once you have gone through the provisioning steps. I'll either grab the set directly from the azure storage (you might have to give me access rights) or provide an sftp/rsync drop for you to dump the data in. The data for version 2021-09-13 was kindly contributed by Rudolf Siegel
DOI: 10.5281/zenodo.6976942
title: Dataset in support of the study "Getting the leaves right matters for estimating temperature extremes"

description: Dataset in support of the study “Getting the leaves right matters for estimating temperature extremes"
DOI: 10.5281/zenodo.7670389
title: Atmospheric methane since the LGM was driven by wetland sources

description: Companion data set to Kleinen et al. (2023):<br> Thomas Kleinen, Sergey Gromov, Benedikt Steil, and Victor Brovkin<br> Atmospheric methane since the LGM was driven by wetland sources<br> Climate of the Past, 2023 Model output from the MPIESM model, model experiments base and MWM.<br> See Kleinen et al. (2023) for details. Timeseries data plotted in all Figures:<br> Global mean temperature, total land carbon; CH4 concentrations and fluxes; NO and RC fluxes; atmospheric lifetimes. Time axis in netcdf files is negative years before present, i.e. year -20000 is 20000 years before present (present=1950 CE).<br> Time is represented as absolute time YYMMDD.f, with YY negative year BP, MM mmonth and DD day, f is fractional daytime.<br>
DOI: 10.5281/zenodo.7695782
title: Dataset for "Teaching critical thinking about health information and choices in secondary schools: human-centred design of digital resources"

description: A qualitative dataset for the article: Teaching critical thinking about health information and choices in secondary schools: human-centred design of digital resources We collected this data in Phase 2 of the work described in the article, to inform development of educational resources (<em>Be Smart About Your Health</em>) to support teaching critical thinking about health claims and making informed health choices for use in secondary schools, based on a set of Informed Health Choices Key Concepts. Data collection methods: individual and group interviews, observation of classroom pilots, in Kenya, Rwanda, and Uganda, and via email from an international advisory group. Timeframe for data collection and analysis: 2020-2022 This dataset is a part of the research project: <em>Enabling sustainable public engagement in improving health and health equity, </em>2019-2024. Funded by GLOBVAC programme, Research Council of Norway.
DOI: 10.5281/zenodo.7885097
title: Data for "Thermal disruption of a Luttinger liquid"

description: This dataset is part of the scientific journal article "Thermal disruption of a Luttinger liquid"
DOI: 10.5445/ir/1000158429
title: Air quality monitoring data from Pallas, Finland for the period between December 21, 2021 and November 21, 2022, which was used for an intercomparison of aerosol light absorption instruments
DOI: 10.6084/m9.figshare.13501992
title: CPUASP.csv

description: Catch per unit effort and area for different fish species in a northern boreal lake, gear used: minnow traps and seining.
DOI: 10.6084/m9.figshare.22694146
title: Global_HydroRIVERS_River_Network_MAF.zip

description: The availability of detailed surface runoff and river flow data across large geographic areas is crucial for diverse applications. A few countries (e.g., U.S.) offer such data at a high-resolution but most countries do not. Lack of detailed spatial data and challenges with intense processing have been the limiting factors in developing high-resolution river flows over large spatial scales. To address this specific need, the well-established Curve Number (CN) method was applied to develop a detailed surface runoff dataset. Publicly available, scientifically accepted and high-resolution global datasets for hydrologic soil groups, land cover, and precipitation were spatially processed by applying the CN equations to generate a contiguous global mean-annual surface runoff grid at a very high-resolution of 50m x 50m. Surface runoff was converted to river flow by spatially combining with a detailed global hydrology of rivers and catchment boundaries from HydroSHEDS and HydroBASINS to estimate mean-annual flows across the global river network. <br>
DOI: 10.1184/r1/14226830.v2
title: eVTOL Battery Dataset

description: A dataset of lithium ion battery discharge data including voltage, temperature, and current from eVTOL duty cycles. <br><br>The baseline profile is:- High power discharge (takeoff)- Low power discharge (cruise)- High power discharge (landing)- Rest to allow temperature to moderate- Constant current charge- Constant voltage charge- Rest<br>This dataset varies parameters such as ambient temperature, cruise length, aircraft power, charge current, and others which eVTOLs may regularly encounter during flight. It is intended to assist with the development of algorithms to manage electric aircraft batteries, including state of charge and state of health estimation, lifetime prediction, and others.
DOI: 10.17031/7p59-1497
title: Foraminifera abundance per CPR sample on the North Atlantic 1993 to 2017