cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.26941519.v1
title: Data sets for evaluation of the virulence of honey-derived bacteria, <i>Paenibacillus</i> sp. J27TS7, <i>Paenibacillus</i><i> azoreducens</i> J34TS1, and <i>Paenibacillus</i> <i>melissococcoides </i>J46TS7 to honeybee larvae under continuous dosing conditions (Bioassay I).

description: Data sets (cumulative number of dead broods/number of larvae used and survival rate [%]) for evaluation of the virulence of honey-derived bacteria, <i>Paenibacillus</i> sp. J27TS7, <i>Paenibacillus</i><i> azoreducens</i> J34TS1, and <i>Paenibacillus</i> <i>melissococcoides </i>J46TS7 to honeybee larvae.The virulence was evaluated by feeding spores of these <i>Paenibacillus</i> strains to <i>Apis mellifera</i> larvae reared <i>in vitro</i>. For preparation of the spores, bacteria grown on BHI agar (J27TS7) and Columbia<b> </b>blood agar containing 5% sheep blood (CSA) (the other strains) were suspended in saline, and appropriately diluted bacterial suspensions were spread onto BHI agar (J27TS7) and CSA (the other strains) plates. The plates were incubated at 35°C for 11–16 days under aerobic conditions. After sporulation of more than 90% cells was confirmed by staining with malachite green, spores were collected from 10 or more agar plates, suspended in cold sterile H<sub>2</sub>O, and washed four times with cold sterile H<sub>2</sub>O by collecting spores via centrifugation (12,000 x g, 15 min, 4°C), discarding the supernatant, and suspending the spore pellet in 30 mL of cold sterile H<sub>2</sub>O. Washed spores were suspended in 10 mL of cold sterile H<sub>2</sub>O and stored at 4°C. One week or more later, the spores were washed several more times with 30 mL of cold sterile H<sub>2</sub>O to remove organic matter from the lysed vegetative cells. The re-washed spores were suspended in 5–20 mL of cold sterile H<sub>2</sub>O and stored at 4°C until use. Clinically healthy<i> A. mellifera</i> colonies maintained in the Research Institute for Animal Science in Biochemistry and Toxicology, Sagamihara, Japan, were used in this bioassay. From the colonies, less than 24-h-old larvae were grafted onto royal jelly in sterile Petri dishes using a grafting tool and randomly divided into test groups. Each larva was reared in grafting cells placed in a 48-well cell culture plate. The culture plates were kept in a desiccator (relative humidity, 95% ± 5%) and incubated at 34 ± 0.5ºC until day 6 post-grafting (pg). Larvae were infected by feeding them a diet containing spores (5,000,000 spores/ml) from day 0 pg to day 5 pg. Larvae in the non-infected control group were fed artificial diets containing the same components as the inocula except the spores. On and after day 7 pg, larvae in the culture plates were incubated in a desiccator at 34 ± 0.5ºC (relative humidity, 80% ± 5%). On day 14 pg, each plate was transferred into an emergence box in a desiccator and incubated at 34 ± 0.5ºC (relative humidity, 80% ± 5%) until day 21 pg. In this bioassay, larval survival was monitored until day 21 pg.
DOI: 10.6084/m9.figshare.27022525.v1
title: Genome comparison of entomopathogenic <i>Paenibacillus</i> strains.

description: Presence or absence of genes in Paenibacillus strains analyzed. Genome data annotated using DFAST (https://dfast.ddbj.nig.ac.jp/) were used for the analysis.
DOI: 10.6084/m9.figshare.960038
title: Dataset belonging to the detailed morphological assessment of the Lunterse beek stream restoration project (the Netherlands)

description: This dataset consists of morphological and hydrological data obtained in a post-project assessment of a reconstructed lowland stream in the Netherlands. A detailed description of the data is provided in the readme file.
DOI: 10.1594/wdcc/hoaps3_monthly
title: Hamburg Ocean Atmosphere Parameters and Fluxes from Satellite Data - HOAPS-3 - monthly mean

description: Project: Hamburg Ocean Atmosphere Parameters and Fluxes from Satellite Data - For more information see http://www.hoaps.zmaw.de/ Summary: The Hamburg Ocean Atmosphere Parameters and Fluxes from Satellite Data (HOAPS) set is a completely satellite based climatology of precipitation, evaporation and freshwater budget (evaporation minus precipitation) as well as related turbulent heat fluxes and atmospheric state variables over the global ice free oceans. All variables are derived from SSM/I passive microwave radiometers, except for the SST, which is taken from AVHRR measurements. The data set includes multi-satellite averages, inter-sensor calibration, and an efficient sea ice detection procedure. Changes in this version are a prolonged time series, now containing data from 1987 to 2005, a new neural network based precipitation algorithm, and inclusion of the RSMAS/NODC Pathfinder Version 5 SST fields. Additionally a new 85 GHz synthesis procedure has been implemented for the time period to compensate for the missing channel information on DMSP F08, see accuracy report. Apart from monthly and pentad (5-day) means on a global 0.5 deg. x 0.5 deg. grid, twice daily multi-satellite composite data on a global 1 x 1 grid are available.
DOI: 10.25345/c5vd6ph4m
title: MassIVE MSV000097135 - Coupled transcriptome and proteome analysis of the L3 and L4 developmental stages of Anisakis simplex s.s.: Insights into target genes under glucose influence
title: According to the European Food Safety Authority (EFSA), A. simplex has been classified as a biohazardous organism. Most developmental stages of parasitic nematodes occur under anaerobic conditions, and larvae obtain most of their energy from saccharides. The effect of glucose from the external environment has not been described in L3 and L4 larvae of A. simplex. Another advantage is that only these stages have been identified as pathogenic in humans. In this study, we aimed to uncover genes and pathways controlling glucose (10 mg/mL) action by an integrated analysis of the transcriptome and proteome of L3 and L4 larval stages of A. simplex. The proteome results yielded a total of 6,441 proteins that were filtered for further analysis. The final repository consists of 464 proteins, which were identified in a group as up-regulated DEPs, e.g., malate dehydrogenase, and down-regulated DEPs, e.g., methylmalonyl-CoA epimerase. The results obtained should lead to a better understanding of the molecular processes underlying the development of A. simplex infection in humans and will add to the existing knowledge on the role of nutrients of this parasite.
DOI: 10.26093/cds/vizier.21640081
title: Spectrophotometry of nearby galaxies

description: VizieR online Data Catalogue associated with article published in journal Astronomical Journal (AAS) with title 'An integrated spectrophotometric survey of nearby star-forming galaxies.' (bibcode: 2006ApJS..164...81M)
DOI: 10.3334/cdiac/atg.010
title: Historical Carbon Dioxide Record from the Siple Station Ice Core (1734-1983)

description: Determinations of ancient atmospheric CO2 concentrations for Siple Station, located in West Antarctica, were derived from measurements of air occluded in a 200-m core drilled at Siple Station in the Antarctic summer of 1983-84. The core was drilled by the Polar Ice Coring Office in Nebraska and the Physics Institute at the University of Bern. The ice could be dated with an accuracy of approximately ±2 years to a depth of 144 m (which corresponds to the year 1834) by counting seasonal variations in electrical conductivity. Below that depth, the core was dated by extrapolation (Friedli et al. 1986). The gases from ice samples were extracted by a dry-extraction system, in which bubbles were crushed mechanically to release the trapped gases, and then analyzed for CO2 by infrared laser absorption spectroscopy or by gas chromatography (Neftel et al. 1985). After the ice samples were crushed, the gas expanded over a cold trap, condensing the water vapor at -80°C in the absorption cell. The analytical system was calibrated for each ice sample measurement with a standard mixture of CO2 in nitrogen and oxygen. For further details on the experimental and dating procedures, see Neftel et al. (1985), Friedli et al. (1986), and Schwander and Stauffer (1984).
DOI: 10.3334/cdiac/atg.011
title: Historical CO2 Records from the Law Dome DE08, DE08-2, and DSS Ice Cores (1006 A.D.-1978 A.D)

description: The CO2 records presented here are derived from three ice cores obtained at Law Dome, East Antarctica from 1987 to 1993. The Law Dome site satisfies many of the desirable characteristics of an ideal ice core site for atmospheric CO2 reconstructions including negligible melting of the ice sheet surface, low concentrations of impurities, regular stratigraphic layering undisturbed at the surface by wind or at depth by ice flow, and high snow accumulation rate. Further details on the site, drilling, and cores are provided in Etheridge et al. (1996), Etheridge and Wookey (1989), and Morgan et al (1997).
DOI: 10.3334/cdiac/atg.012
title: Monthly Atmospheric CO2 Records from Sites in the SIO Air Sampling Network

description: The air sampling network used by the Scripps Institution of Oceanography (SIO) to determine atmospheric levels of carbon dioxide (CO2) consist of ten sites. Sampling frequency and longevity varies by site. At some sites air samples are collected continuously while at others evacuated glass flasks are used to collect air samples for subsequent analysis at SIO. This database offers monthly and annual CO2 values from ten sites representative of background tropospheric conditions.
DOI: 10.3334/cdiac/atg.025
title: Monthly Atmospheric 13C/12C Isotopic Ratios for 11 SIO Stations (1977-2008)

description: Stable isotopic measurements for atmospheric 13C/12C and 18O/16O at global sampling sites were initiated by Dr. C.D. Keeling and co-workers at Scripps Institution of Oceanography (SIO) in 1977. These isotopic measurements complement the continuing global atmospheric and oceanic CO2 measurements initiated by Keeling in 1957. This work is currently being continued under the direction of R.F. Keeling, who also runs a parallel program at SIO to measure changes in atmospheric O2 and Ar abundances (Scripps O2 Program). A more complete set of 13CO2 data is found online at http://scrippsco2.ucsd.edu/data/atmospheric_co2.html
DOI: 10.3334/cdiac/cli.ndp026a
title: Climatological Data For Clouds Over the Globe From Surface Observations, 1982-1991: The Total Cloud Edition (1994) (NDP-026a)

description: Routine, synoptic surface weather reports from ships and land stations over the entire globe, for the10-year period December 1981 through November 1991, were processed for total cloud cover and the frequencies of occurrence of clear sky, sky-obscured due to precipitation, and sky-obscured due to fog. Archived data, consisting of various annual, seasonal and monthly averages, are provided in grid boxes that are typically 2.5° × 2.5° for land and 5° × 5° for ocean. Day and nighttime averages are also given separately for each season. Several derived quantities, such as interannual variations and annual and diurnal harmonics, are provided as well. This data set incorporates an improved representation of nighttime cloudiness by utilizing only those nighttime observations for which the illuminance due to moonlight exceeds a specified threshold. This reduction in the night-detection bias increases the computed global average total cloud cover by about 2%. The impact on computed diurnal cycles is even greater, particularly over the oceans where it is found (in contrast to previous surface-based climatologies), that cloudiness is often greater at night than during the day.
DOI: 10.3334/cdiac/ffe.001
title: Estimates of Monthly CO2 Emissions and Associated 13C/12C Values from Fossil-Fuel Consumption in the U.S.A. (1981-2003)

description: The data from which these carbon-emissions estimates were derived are values of fuel consumed: in billions of cubic feet, for natural gas; in millions of barrels, for petroleum products; and in thousands of short tons, for coal. The resulting emissions estimates are expressed as teragrams of carbon. A teragram is 1012 grams, or 106 metric tons. To convert from carbon to carbon dioxide, multiply by 44/12 (=3.67). Data are available for over 30 different petroleum products, with the exact breakdown varying somewhat from year to year. These products have been treated separately here until the final step of the estimation, at which time CO2 emissions were summed and attributed to liquid petroleum products. These fuel-consumption data are available from the Energy Information Administration of the U.S. Department of Energy. They are published in the Monthly Energy Review, and are available electronically from the Energy Information Administration.
DOI: 10.3334/cdiac/lue.ndp018
title: Worldwide Organic Soil Carbon and Nitrogen Data (1986) (NDP-018)

description: This data base was begun with the collection and analysis of soil samples from California. Additional data came from soil surveys of Italy, Greece, Iran, Thailand, Vietnam, various tropical Amazonian areas, and U.S. forests and from the soil-survey literature. The analyzed samples were collected at uniform soil-depth increments and included bulk-density determinations. The data on each sample are soil profile number; soil profile carbon content; soil profile nitrogen content; sampling site latitude and longitude; site elevation; profile literature reference source; and soil profile codes for Holdridge life zone, Olson ecosystem type, and parent material. These data may be used to estimate the size of the soil organic carbon and nitrogen pools at equilibrium with natural soil-forming factors.
DOI: 10.3334/cdiac/otg.ndp083
title: GLOBAL OCEAN DATA ANALYSIS PROJECT (GLODAP): RESULTS AND DATA
DOI: 10.3334/cdiac/tge.001
title: Annual Estimates of Global Anthropogenic Methane Emissions: 1860-1994

description: The authors provide the first estimates, by year, of global man-made emissions of methane, from 1860 through 1994. The methods, including the rationale for the various coefficients and assumptions used in deriving the estimates, are described fully in Stern and Kaufmann (1995, 1996), which provides the estimates for the period 1860-1993; the data presented here are revised and updated through 1994. Some formulae and coefficients were also revised in that process. Estimates are provided for total anthropogenic emissions, as well as emissions for the following component categories: Flaring and Venting of Natural Gas; Oil and Gas Supply Systems, Excluding Flaring; Coal Mining; Biomass Burning; Livestock Farming; Rice Farming and Related Activities; Landfills. Changes in emissions over time were estimated by treating emissions as a function of variables (such as population or coal production) for which historical time series are available.
DOI: 10.5281/zenodo.10672668
title: Data on scientific production on letramento informacional in Brazil: collection procedures and resulting corpus [Dataset of thesis]
title: Dados sobre a produção científica sobre letramento informacional no Brasil: procedimentos de coleta e corpus resultante

description: Dataset containing two dataset:

1 - Description of the data collection procedures carried out for the thesis: Appropriation of the term letramento by Brazilian Library and Information Science: terminological-conceptual tensions surrounding letramento informacional by Alves (2023).

2 - Four Spreadsheet in CSV UTF-8  containing in each of them a set of bibliographic references in partially raw data.
DOI: 10.5281/zenodo.10719775
title: Machine learning-based modeling of ecosystem-atmosphere CO2 exchange in support of carbon accounting for nature-based climate solutions

description: Gap filled FC02 Measurements using Extreme Gradient Boosting for 44 NEON sites.
DOI: 10.5281/zenodo.13858306
title: Insect Classification

description: The data utilized in our experiments was obtained from the Barcode of Life Data System (BOLD), which is a cloud-based data storage and analysis platform developedat the Centre for Biodiversity Genomics in Canada. The data consisted of 32424 image samples of insect species from four Insecta orders, Diptera, Coleoptera, Lepidoptera and Hymenoptera, each associated with a DNA barcode sequence of that specie.

 

Description of the .mat:

# Insect Dataset

* all_images: vector containing the 32424 64x64x3 images (RGB) pre normalized of the insects* all_dnas: vector containing the 32424 DNA barcodes in one-hot encoding 658x5* all_labels: vector containing the species label for the corresponding DNA and image* all_boldids: vector of strings containing the id from boldsystemsv3 (https://v3.boldsystems.org/) they can be used to download from boldsystems the original DNA barcodes and the full size images and other data related to the sample* train_loc: indices of the training samples in all_dnas, all_images, all_labels, all_boldids* val_seen_loc: indices of the validation samples in all_dnas, all_images, all_labels, all_boldids that contain described(seen) species* val_unseen_loc: indices of the validation samples in all_dnas, all_images, all_labels, all_boldids that contain undescribed(unseen) species* test_seen_loc: indices of the test samples in all_dnas, all_images, all_labels, all_boldids that contain described(seen) species* test_unseen_loc: indices of the test samples in all_dnas, all_images, all_labels, all_boldids that contain undescribed(unseen) species* species2genus: the vector contains at index i the genus label of species with label i (e.g. species i has genus species2genus[i])* described_species_labels_train: vector containing the labels of species that appear in the training set* described_species_labels_trainval: vector containing the labels of species that appear in the training set and/or the validation set* all_dna_features_cnn_original: vector of features extractedfrom DNA nucleotides with the method of Badirli, S., Picard, C. J., Mohler, G.,Richert, F., Akata, Z., & Dundar, M. (2023). Classifying the unknown: Insect identification with deep hierarchical Bayesian learning. Methods in Ecology and Evolution, 14,1515-1530. https://doi.org/10.1111/2041-210X.14104* all_image_features_resnet: vector of features extracted from the insect images with the method of the same paper as the all_dna_features_cnn_original with a pretrained resnet101* all_dna_features_cnn_new: vector of features extracted from DNA nucleotides with our CNN* all_image_features_gan: vector of features extracted from the insect images with out method using a ReACGAN

Note: all arrays and locs are 1-indexed like in MATLAB
DOI: 10.5281/zenodo.14733132
title: Drift-aware sea ice thickness maps from satellite remote sensing

description: This preliminary dataset is associated to a manuscript that has been submitted to EGUsphere. Once the paper is accepted, an updated version will be created.
DOI: 10.5281/zenodo.14736840
title: Chiral plasmonic superlattices from template-assisted assembly of achiral nanoparticles
DOI: 10.5281/zenodo.14787967
title: Ecological change and conflict reduction led to a social circulatory system in ants

description: This repository includes code and files used for the analysis of the evolution of trophallaxis associated with the paper "Ecological change and conflict reduction led to a social circulatory system in ants" by Meurville, Silvestro and LeBoeuf.



SI_File1.xlsx contains the data collected from literature and corresponding references. The legend is included in the file.

SI_File2.xlsx contains the values of the first nine eigenvalues per species.

SI_File3.xlsx contains the minimum and maximum values for temperature and humity used.

SI_File4.csv contains the predicted trophallaxis behavior for the 252 species.

tree_212.tre contains the tree used with the 212 species with known trophallaxis behaviour.

tree_417.tre contains the tree used with the 417 species with known and predicted trophallaxis behaviour.
DOI: 10.5281/zenodo.55853
title: Gridkit Extract Of Entso-E Interactive Map

description: This dataset was generated based on a map extract from May 11, 2016. This is an <em>unofficial</em> extract of the ENTSO-E interactive map of the European power system (including to a limited extent North Africa and the Middle East). The dataset has been processed by GridKit to form complete topological connections. This dataset is neither approved nor endorsed by ENTSO-E.

This dataset may be inaccurate in several ways, notably:


	Geographical coordinates are transfered from the ENTSO-E map, which is known to choose topological clarity over geographical accuracy. Hence coordinates will not correspond exactly to reality.
	Voltage levels are typically provided as ranges by ENTSO-E, of which the lower bound has been reported in this dataset. Not all lines - especially DC lines - contain voltage information.
	Line structure conflicts are resolved by picking the first structure in the set
	Transformers are <em>not present</em> in the original ENTSO-E dataset, there presence has been derived from the different voltages from connected lines.
	The connection between generators and busses is derived as the geographically nearest station at the lowest voltage level. This information is again not present in the ENTSO-E dataset.


All users are advised to exercise caution in the use of this dataset. No liability is taken for inaccuracies.
DOI: 10.5281/zenodo.5777340
title: Predict students' dropout and academic success

description: A dataset created from a higher education institution (acquired from several disjoint databases) related to students enrolled in different undergraduate degrees, such as agronomy, design, education, nursing, journalism, management, social service, and technologies. The dataset includes information known at the time of student enrollment (academic path, demographics, and social-economic factors) and the students' academic performance at the end of the first and second semesters. The data is used to build classification models to predict students' dropout and academic success. The problem is formulated as a three category classification task (dropout, enrolled, and graduate) at the end of the normal duration of the course.<br> <strong>Funding</strong><br> We acknowledge support of this work by the program "SATDAP - Capacitação da Administração Pública under grant POCI-05-5762-FSE-000191, Portugal"
DOI: 10.5281/zenodo.6367091
title: Gene/Protein BridgeDb ID Mapping Database (Ensembl 104)

description: Ensembl 104 derived ID mapping database for use with BridgeDb. This work was funded by the FAIRplus project (grant agreement no 802750) and NWO Open Science Fund (grant no 203.001.121).
DOI: 10.5281/zenodo.6964918
title: Global wetland CH4 emissions estimated by LPJ-wsl model for 1980-2021

description: This dataset contains two files that summarize the regional wetland methane emissions simulated by LPJ-wsl model for the period of 2000-2021. two estimates based on two climate forcing datasets, ground-based CRU and reanalysis-based MERRA2. The ground-based input dataset is a monthly climatic observation based on meteorological stations developed by Climatic Research Unit, University of East Anglia. The reanalysis-based climate dataset is a daily climatic dataset from 1 hourly reanalysis Modern-Era Retrospective analysis for Research and Applications Version 2. For more details about LPJ-wsl model, see Zhang et al., (2017, 2018). References: Zhang, Z., Zimmermann, N.E., Stenke, A., Li, X., Hodson, E.L., Zhu, G., Huang, C., Poulter, B., 2017. Emerging role of wetland methane emissions in driving 21st century climate change. Proceedings of the National Academy of Sciences 114, 9647–9652. https://doi.org/10.1073/pnas.1618765114 Zhang, Z., Zimmermann, N.E., Calle, L., Hurtt, G., Chatterjee, A., Poulter, B., 2018. Enhanced response of global wetland methane emissions to the 2015–2016 El Niño-Southern Oscillation event. Environmental Research Letters 13, 074009. https://doi.org/10.1088/1748-9326/aac939