cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/8rzqvw
title: Global Register of Introduced and Invasive Species - Great Britain

description: The Global Register of Introduced and Invasive Species (GRIIS) presents validated and verified national checklists of introduced (alien) and invasive alien species at the country, territory, and associated island level. Checklists are living entities, especially for biological invasions given the growing nature of the problem. GRIIS checklists are based on a published methodology and supported by the Integrated Publishing Tool that jointly enable ongoing improvements and updates to expand their taxonomic coverage and completeness. Phase 1 of the project focused on developing validated and verified checklists of countries that are Party to the Convention on Biological Diversity (CBD). Phase 2 aimed to achieve global coverage including non-party countries and all overseas territories of countries, e.g. those of the Netherlands, France, and the United Kingdom. All kingdoms of organisms occurring in all environments and systems are covered. Checklists are reviewed and verified by networks of country or species experts. Verified checklists/ species records, as well as those under review, are presented on the online GRIIS website (www.griis.org) in addition to being published through the GBIF Integrated Publishing Tool.
DOI: 10.15468/yazb1f
title: Global Register of Introduced and Invasive Species - Germany

description: The Global Register of Introduced and Invasive Species (GRIIS) presents validated and verified national checklists of introduced (alien) and invasive alien species at the country, territory, and associated island level. Checklists are living entities, especially for biological invasions given the growing nature of the problem. GRIIS checklists are based on a published methodology and supported by the Integrated Publishing Tool that jointly enable ongoing improvements and updates to expand their taxonomic coverage and completeness. Phase 1 of the project focused on developing validated and verified checklists of countries that are Party to the Convention on Biological Diversity (CBD). Phase 2 aimed to achieve global coverage including non-party countries and all overseas territories of countries, e.g. those of the Netherlands, France, and the United Kingdom. All kingdoms of organisms occurring in all environments and systems are covered. Checklists are reviewed and verified by networks of country or species experts. Verified checklists/ species records, as well as those under review, are presented on the online GRIIS website (www.griis.org) in addition to being published through the GBIF Integrated Publishing Tool.
DOI: 10.1594/pangaea.899848
title: Recent global cropland water consumption constrained by observations

description: Under current global warming and accelerated population growth scenarios, cropland irrigation water consumption has become a central issue limiting the sustainability of coupled human‐natural systems. This study proposes a new estimate of recent global cropland water consumption constrained by observations and provides attributions for its recent trend. By incorporating observations, including extracted cropland leaf area index (LAI) and irrigation threshold data, this study provides improved estimates of recent global cropland evapotranspiration and transpiration as well as irrigation water consumption and withdrawal. The global annual consumption and withdrawal of irrigation water are estimated to be approximately 874 km3 and 1867 km3 (in 2005), respectively. From 2000~2014, a rapid increase in cropland irrigation was detected, especially in water‐deficient areas (i.e., hyper‐arid, arid and semi‐arid regions). Climate change, which mainly consists of rising temperature and reduced moisture conditions, is usually distinguished as the major driving factor. Human‐induced increases in crop canopy cover have also contributed to more irrigation in hyper‐arid and arid regions. This study also provides suggestions for water‐savings‐targeted cropland management in water‐deficient areas based on the transpiration ratio (i.e., ratio of transpiration to evapotranspiration).
DOI: 10.1594/pangaea.973210
title: Palynological organic matter (POM) of surface sediment from Mar Piccolo, Southern Italy
DOI: 10.17632/769nd6pz8m.2
title: Synchrotron X-Ray Diffraction Data during Tensile Loading of a Duplex Steel containing B2 Precipitates in Ferrite_Enhanced Data Processing

description: This dataset contains raw and partially processed diffraction data for the dataset “Synchrotron X-Ray Diffraction Patterns during Tensile Loading of a Duplex Steel containing B2 Precipitates in Ferrite”. It supersedes Version 1, published in 2023, with significant enhancements in data processing. For instance, the automated peak fitting procedure has been improved to deconvolute closely spaced diffraction peaks pertaining to fine and coarse B2 precipitates in the tensile loading direction. In contrast to Version 1, peak fitting in Version 2 is not performed for the data in the transverse direction.
For additional details, refer to the PDF file titled "Readme_Version 2," which has been uploaded alongside the data.
DOI: 10.17632/fwcj7stb8r.1
title: Rice Leaf Disease Image Samples

description: The data set contains 5932 number images includes four kinds of Rice leaf diseases i.e. Bacterial blight, Blast, Brown Spot and Tungro. Citation: Sethy, P. K., Barpanda, N. K., Rath, A. K., & Behera, S. K. (2020). Deep feature based rice leaf disease identification using support vector machine. Computers and Electronics in Agriculture, 175, 105527. doi:10.1016/j.compag.2020.105527.
DOI: 10.21227/hb6r-5y39
title: Cardiovascular Disease Data

description: Cardiovascular diseases (CVD) are a leading global health concern. Comprehensive data on CVD and key biomarkers play a pivotal role in deciphering individual symptomatology. These biomarkers encompass a range of physiological indicators, such as cholesterol levels, blood pressure, and inflammatory markers like C-reactive protein. The dataset, meticulously compiled from diverse sources and clinical studies, serves as a rich repository of information on cardiovascular diseases and associated biomarkers, offering researchers and healthcare practitioners a valuable resource to delve deeper into the complexities of CVD and refine diagnostic and therapeutic approaches. Understanding the data patterns and variations aids in early detection, risk assessment, and personalized treatment strategies for CVD. Additionally, genetic markers and advanced diagnostic imaging contribute to a holistic understanding of CVD risk factors. This data-driven approach empowers healthcare professionals to tailor interventions, promoting timely prevention and management of cardiovascular diseases, ultimately enhancing patient outcomes and quality of life.
DOI: 10.26165/juelich-data/qmb0vb
title: Data for Publication "Assessing soil fertilization effects using time-lapse electromagnetic induction"

description: Data files for the paper Kaufmann et al., 2024, Assessing soil fertilization effects using time-lapse electromagnetic induction
DOI: 10.26186/5e9cf3f2c0f1d
title: Total Magnetic Intensity (TMI) Grid of Australia 2019 - seventh edition - 80 m cell size

description: Total magnetic intensity (TMI) data measures variations in the intensity of the Earth magnetic field caused by the contrasting content of rock-forming minerals in the Earth crust. Magnetic anomalies can be either positive (field stronger than normal) or negative (field weaker) depending on the susceptibility of the rock. The 2019 Total magnetic Intensity (TMI) grid of Australia has a grid cell size of ~3 seconds of arc (approximately 80 m). This grid only includes airborne-derived TMI data for onshore and near-offshore continental areas. Since the sixth edition was released in 2015, data from 234 new surveys have been added to the database, acquired mainly by the State and Territory Geological Surveys. The new grid was derived from a re-levelling of the national magnetic grid database. The survey grids were levelled to each other, and to the Australia Wide Airborne Geophysical Survey (AWAGS), which serves as a baseline to constrain long wavelengths in the final grid. It is estimated that 33 500 000 line-kilometres of survey data were acquired to produce the 2019 grid data, about 2 000 000 line-kilometres more than for the previous edition.
DOI: 10.5281/zenodo.10727629
title: Data from: Contrasting recording efficiency of chemical versus depositional remanent magnetization in sediments

description: The dataset contains magnetic measurement results as reported in the article "Contrasting recording efficiency of chemical versus depositional remanent magnetization in sediments" including:






Chemical (CRM) and depositional remanent magnetizations (DRM), along with their respective directions and median destructive fields (MDFs) determined from stepwise alternating field (AF) demagnetization.

Anhysteretic (ARM) and isothermal remanent magnetizations (IRM), including MDF of ARM.

Magnetic moment data for stepwise AF demagnetization of CRM, DRM, and ARM for selected samples.
DOI: 10.5281/zenodo.10848403
title: Sexual Selection, Genomic Evolution and Population Fitness in Drosophila pseudoobscura
DOI: 10.5281/zenodo.10887513
title: MESSENGER_FNN_IMF_Predictions_27_03_2024

description: This dataset contains MESSENGER magnetosheath measurements and predictions made by a feed-forward neural network. The parameters are in the aberrated Mercury magnetospheric coordinate system (MSM'). The time cadence for these measurements is 40 s.

The columns are as follows:



magx: x component of the magnetosheath magnetic field (nT)

magy: y component of the magnetosheath magnetic field (nT)

magz: z component of the magnetosheath magnetic field (nT)

magamp: amplitude of the magnetosheath magnetic field (nT)

time: time of magnetosheath measurement (YEAR-MONTH-DAY HOUR:MINUTE:SECOND)

x: position of spacecraft along the X_MSM' axis

r: cylindrical radial position (sqrt(Y_MSM'^2+Z_MSM'^2))

theta: angular position tan^(-1)(Y_{MSM'}/Z_{MSM'})

bswx_pred: x component of the FNN prediction for the upstream IMF

bswy_pred: y component of the FNN prediction for the upstream IMF

bswz_pred: z component of the FNN prediction for the upstream IMF

magsw_pred: amplitude of the FNN prediction for the upstream IMF

bswx_err: uncertainty in the x component of the FNN prediction for the upstream IMF

bswy_err: uncertainty in the y component of the FNN prediction for the upstream IMF

bswz_err: uncertainty in the z component of the FNN prediction for the upstream IMF

magsw_err: uncertainty in the amplitude of the FNN prediction for the upstream IMF
DOI: 10.5281/zenodo.13747262
title: Physical controls on the variability of offshore propagation of convection from Sumatra

description: Supporting data and code for Physical controls on the variability of offshore propagation of convection from Sumatra, submitted to Journal of Geophysical Research: Atmospheres.
DOI: 10.5281/zenodo.13851374
title: Hourly foF2 Data at Zhongshan Station for March, June, September, and December 2014

description: This dataset contains hourly values of the critical frequency of the F2 layer (foF2), measured at Zhongshan Station, Antarctica, during the solar maximum year of 2014. The measurements cover four key months: March, June, September, and December.The ionospheric data are obtained from long-term observations of the digisonde DPS-4 measurements at Zhongshan, Antarctica. The ionosondes provide ionograms via transmitting radio pulses with frequency coverage of 1.0–30 MHZ and receiving echoes reflected by various layers of the ionosphere. The ionospheric F-region critical frequencies (foF2) are calculated after processing ionograms. The time resolution of the ionosonde data used is 1 h.The raw digisonde DPS-4 data at Zhongshan Station can be requested through the Data-sharing Platform of Polar Science (http://www.chinare.org.cn), which is maintained by the Polar Research Institute of China and the Chinese National Antarctic & Arctic Data Center.
DOI: 10.5281/zenodo.14002523
title: Data and Code used in "Microphysics regimes due to haze-cloud interactions: cloud oscillation and cloud collapse"

description: Data and Python Code for figure generation in "Microphysics regimes due to haze-cloud interactions: cloud oscillation and cloud collapse" submitted to Atmospheric Chemistry and Physics
DOI: 10.5281/zenodo.14675104
title: On the dependence of simulated convection on domain size in CRMs: Data for figures

description: This dataset contains data that can be used to reproduce the Figures 2-7 in Jenney et al. (2025) "On the dependence of simulated convection on domain siz in CRMs".
DOI: 10.5281/zenodo.14678318
title: UniProtCC - ProtBFN Training Data

description: The UniProtCC dataset is a a (C)leaned and (C)lustered subset of the January 2024 release of UniProt.

It is constructed by taking all entries UniProtKB with length <512 and then filtering according to the "protein existence" property, specifically only allowing entries where the protein existence level is one of:



Experimental evidence at protein level

Experimental evidence at transcript level

Protein inferred from homology


UniProtCC therefore contains no UniProtKB entries where the protein is either hypothetical or is of uncertain origin. UniProtCC comes equipped with a clustering; specifically, the UniRef50 clustering assignements, also from the January 2024 release of UniProt. In the original work describing this dataset, protein sequence modelling with bayesian flow networks, these cluster assignments were used to reweight the training of a generative model, and debias it away from the most studied proteins within UniProtKB. 

This dataset contains two csv files:



uniprot_cc_511.csv. This file contains the UniProtCC dataset, and is approximately 22.7GB and contains 72,369,921 rows. Each row consists of:



uniprot_id (string). The unique uniprot ID of the entry.

amino_acids (string). The amino acid sequence of the entry.

uniref50_cluster_id (string). The unique identifier of the UniRef50 cluster with which the entry is associated.



uniprot_cc_511_cluster_sizes.csv. This file contains metadata about the UniRef50 cluster sizes, and is approximately 139MB and contains 6,460,005 rows. Each row consists of:



uniref50_cluster_id (string). The unique identifier of a UniRef50 cluster.

seq_count (integer). The number of entries within uniprot_cc_511.csv that are associated with this cluster. Summing seq_count across all rows in this CSV gives a total of 72,369,921 e.g. the total number of entries in uniprot_cc_511.csv.
DOI: 10.5281/zenodo.14711210
title: NLP variables
DOI: 10.5281/zenodo.14755975
title: Peat macrofossils and paleoclimate proxy data for Paleo-Species Distribution Modelling (south-central Sweden)

description: This dataset contains paleo-species data from a peat macrofossil record (reaching ~10 000 cal yr BP) along with independent Holocene paleoclimate proxy data from southern Sweden, to be used in paleo-species distribution modelling. The response variables include selected paleo-species (Sphagnum spp, Eriophorum vaginatum, Carex spp, and Ericaceous plants), obtained from a previously published peat macrofossil analysis (Store Mosse Bog, south-central Sweden; Ryberg et al., 2022) that specifically provides data on presence/absence and abundance of the selected species. Additionally, a set of previously published Holocene paleo-climate proxy data was used as explanatory variables (or predictor variables), these include a temperature reconstruction from a pollen analysis (Lake Trehörningen; Antonsson and Seppä, 2007), local moisture conditions from a molecular analysis within Store Mosse Bog (Martinez-Cortizas et al., 2021), regionally dry periods and external nutrient input from elemental analysis within Store Mosse Bog (Kylander et al., 2016, 2018), and past fire activity based on the presence of macroscopic charcoal in the macrofossil analysis used in the paleo-species dataset (Ryberg et al., 2022). The five explanatory variables have been aligned using their respective age-depth models to match the ages of the paleo-species dataset. Detailed information about the methods are found in Ryberg et al. "Quantitative assessment of past variations in Sphagnum bog community structure using paleo-species distribution modeling", Ecology.
DOI: 10.5281/zenodo.15045295
title: Dataset of in situ cloud surface measurements from cloud spectrometers during Pallas Cloud Experiment 2022 (PaCE2022).

description: This dataset was collected using four ground-based cloud spectrometers (CAS, FSSP-100, CDA and ICEMET) during the Pallas Cloud Experiment 2022 (PaCE 2022). It includes in-cloud measurements of droplet size distributions and key microphysical properties (Nc, LWC, MVD, ED) at 1-minute resolution. Additional meteorological data (temperature, humidity, wind speed, and visibility) at the same resolution are also provided. The dataset is available in CSV and NetCDF formats.
DOI: 10.5281/zenodo.8370156
title: Ocular Injuries Caused by Motorcycle Accidents ‎

description: Data set
DOI: 10.5286/isis.e.rb2010775
title: Low temperature properties of a super-honeycomb S=1/2 frustrated magnet

description: The MOF (Metal-organic framework) system Cu3(HHTP)2 coordinates Cu with HHTP, a conjugated polyaromatic tricatecholate ligand, resulting in stacks of extended 2D graphene-like honeycomb grids. The HHTP ligand is triply oxidized with a formal oxidation state of −3 after 6-fold deprotonation of the hydroxy groups producing an S=1/2 radical state. The HTTP molecules form a honeycomb lattice and the S=1/2 Cu2+ ions each coordinate to two HHTP molecules forming a kagome lattice. The Cu and HHTP taken together form a super-honeycomb lattice of S=1/2 spins which is characterized by a nearest-neighbour Cu-HHTP exchange interaction and two further frustrating interactions between next-nearest-neighbours. This material therefore provides an interesting new frustrated quantum magnetic system and we wish to explore the magnetic properties of Cu3(HHTP)2 down to low temperatures using muSR.
DOI: 10.6073/pasta/9b0cce476cb9a7f96575ff1c3d3155c3
title: Amendments and seeding did not augment erosion control structure effectiveness in dry rangelands, 2021-2023

description: This study investigates the effectiveness of combining rock structures with organic amendments (wood mulch or compost) and native perennial grass seed addition to address erosion on rangelands. The study was conducted across five cattle ranches in New Mexico with 9-18 active head cuts studied at each ranch. Rock rundown structures were built at each headcut and a plot above each structure received an organic amendment treatment (compost, mulch, or control) and seed addition treatment (seeded or control).
DOI: 10.6080/k0862dc5
title: Recordings from hippocampal area CA1, PRE, during and POST novel spatial learning.
title: CRCNS.org hc-11

description: This data set is composed of eight bilateral silicon-probe multi-cellular electrophysiological
                recordings performed on four male Long-Evans rats. These recordings were performed to assess the
                effect of novel spatial learning on hippocampal CA1 neural firing and LFP patterns in naïve animals.
                Each session consisted of a long (~4 hour) PRE rest/sleep epoch home-cage recordings performed in a
                familiar room, followed by a Novel MAZE running epoch (~45 minutes) in which the animals were
                transferred to a novel room, and water-rewarded to run on a novel maze. These mazes were either
                A) a wooden 1.6m linear platform, B) a wooden 1m diameter circular platform or C) a 2m metal linear
                platform. Animals were rewarded either at both ends of the linear platform, or at a predetermined
                location on the circular platform. The animal was gently encouraged to run unidirectionally on the
                circular platform. After the MAZE epochs the animals were transferred back to their home-cage in the
                familiar room where a long (~4 hour) POST rest/sleep was recorded. All eight sessions were concatenated
                from the PRE, MAZE, and POST recording epochs. In addition to hippocampal electrophysiological recordings,
                neck EMG and head-mounted accelerometer signals were recorded, and the animal’s position during MAZE
                running epochs was tracked via head-mounted LEDs.
DOI: 10.6084/m9.figshare.25035905
title: Supra-second tracking and live cell karyotyping reveal principles of mitotic chromosome dynamics

description: 3D time lapse of H2B-tagged mitotic chromosomes. Contains raw data (*_raw.tif) and the corresponding segmentation masks (*_masks.tif) for each time point, imaged every 8 seconds. 
The cells come from 3 different cell lines: hTERT-RPE-1 (cells 1, 5-12), U2OS (cell 3), and Hela-Kyoto (cells 2 and 4).
H2B was tagged with: mCherry (cells 2-5, 11, 12) and tdox5StayGold (cells 6-10).
DOI: 10.6084/m9.figshare.27303969
title: Insight into Greenhouse Gas Emission Characteristics of Light-Duty Vehicles in China Driven by Technological Innovation

description: Greenhouse gas (GHG) emissions represent a pivotal driver of global climate change, with vehicular emissions, particularly from light-duty vehicles, emerging as a prominent source of GHGs. Despite extensive research on gaseous pollutants, studies on GHG emissions within the framework of carbon neutrality remain scarce. This study delves into the emission characteristics of three primary GHGs (CO<sub>2</sub>, CH<sub>4</sub>, and N<sub>2</sub>O) from various light-duty vehicles, encompassing conventional gasoline and hybrid vehicles, and bi-fuel taxis. As anticipated, with advancements in emission standards and powertrains, vehicular GHG emissions have significantly decreased. However, our findings also revealed surprising trends. While engine technology upgrades reduced CO<sub>2</sub>, they unexpectedly increased CH<sub>4</sub> and N<sub>2</sub>O emissions. Additionally, hot starts, beneficial for reducing CO<sub>2</sub> and CH<sub>4</sub> emissions, caused heightened N<sub>2</sub>O emissions, which is noteworthy under operating conditions with frequent start-stop events. Intriguingly, compressed natural gas (CNG), generally perceived as cleaner, increased CH<sub>4</sub> emissions. Under “TWC failed” conditions, N<sub>2</sub>O emissions from CNG-powered vehicles were approximately three times higher than those under “TWC worked” conditions, attributed to the significant increase in NOx. Considering the global warming potential (GWP), the "TWC failure" scenario paradoxically decreased GWP values, highlighting the complex interaction between emission control technologies and their environmental impacts. This study provides crucial insights into vehicular GHG emissions, which are essential for developing effective strategies aimed at mitigating emissions and enhancing the efficiency of emission control systems.