cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/824yvn82b5.1
title: A dataset on bacterio-, phyto- and zooplankton from an emerging periglacial lagoon in Svalbard, Arctic

description: Data on zooplankton, phytoplankton, and bacterioplankton from Arctic coastal lagoons are provided. The lagoon is located in the region of intense glacier melting, near Eidembukta Bay, on the Western Part of Spitsbergen (Svalbard Archipelago). This newly formed water body represents the new ecosystem, which is made up of elements that are presumably coming into the lagoon from the sea, the nearby tundra ponds and rivers, and the melting glacier. In deeper areas of the lagoon, upper and lower layers of water coming from the melting glacier and from the sea, respectively, form an extremely strong halocline. Apart from vertical gradient, the lagoon is structured horizontally as its areas vary in respect to their proximity to the melting glacier, and hence by their age.

The data presented in the repository provide actual snapshot for the diversity of aquatic organisms in novel post-glacial habitat. The data can be used for elucidating the processes of the emerging and evolution of newly formed aquatic ecosystems in the context of warming era.

The dataset includes the results of the analysis of the samples collected during two summer seasons (August 2022 and August 2023). Sampling was performed at 26 sampling sites, from different depths (above and below strong halocline) and different lagoon parts.

Following types of data are given in four Excel tables:

1. Table_1_Sampling sites.xlsx - map of the lagoon, brief characteristics of sampling sites: date of sampling, geographical coordinates, number and type of samples collected at each site. 
2. Table_2_Zooplankton.xlsx - list of lowest identified taxa of zooplankton, abundances of the taxa in the samples.
3. Table_3_Phytoplankton.xlsx - list of lowest identified taxa of phytoplankton, abundances of the taxa in the samples, biomass and carbon biomass of the taxa with categorisation by cell size.
4. Table_4_Bacterioplankton.xlsx - bacteria cell concentration and bacteria carbon biomass in the samples

The study was performed in framework of the EIDEMBUKTA project (“Formation of a novel coastal lagoon ecosystem following glacier retreat in Eidembukta, Svalbard Arctic“), funded by the Research Council of Lithuania (agreement number S-MIP-22-48) with logistical and technical support from the Institute of Oceanology of Polish Academy of Sciences.
DOI: 10.17632/2vy7f87cdx.2
title: Acoustic Measurements of Edzna Dataset

description: Context:
The archaeological site of Edzna was a large and important Mayan city located in Campeche, about 55 km from the city with the same name. It has impressive structures, the most important of which is called the Five-Story Building, with approximately 30 meters high. The area also has a large bleacher called Nohochna. Despite being an important cultural center, there have been no acoustic measurements that help to know better the worldview of the people who inhabited this place. Also, it allows to try to understand whether they had any notion of acoustics for constructing their buildings.
Objective: 
To obtain acoustic information related to the archaeological site of Edzna, for further studies, simulations, and auralizations of the area. Measurements were taken at 32 points around the archaeological site with 4 sound emission points. Recordings were made using a microphone and a binaural head, which allows for obtaining spatial 3D information.
Limitations: 
Each signal was recorded with speaker positions, one at 0° and the other at 180°, to ensure capturing the information of reflections from the entire area.

This database is a part of the article titled 'Acoustic Characterization of Edzna: A Measurement Dataset,' which can be accessed at: https://www.nature.com/articles/s41597-023-02577-2. It should be cited as follows: Navas-Reascos, G., Wilhelm-deAlba, G., Alonso-Valerdi, L.M. et al. Acoustic Characterization of Edzna: A Measurement Dataset. Sci Data 10, 659 (2023). https://doi.org/10.1038/s41597-023-02577-2
DOI: 10.17632/57xz45335f.1
title: LDHU3_02.0330

description: Rab6 GTPase; Leishmania donovani (HU3 strain)
DOI: 10.17632/crgbf93fnw.1
title: Prevalence and causes of visual impairment among school children in Blantyre, Southern Malawi

description: Cleaned dataset of 77562 school children sampled in primary and secondary schools in Blantyre, Southern Malawi.
DOI: 10.17632/tdh7g49g6r.1
title: LDHU3_02.0340

description: Hypothetical protein - conserved; Leishmania donovani (HU3 strain)
DOI: 10.17632/sgy7y26nch.1
title: LDHU3_02.0310

description: Glycosyltransferase (GlcNAc); Leishmania donovani (HU3 strain)
DOI: 10.17632/5m4fnzw84k.1
title: Daily surface solar radiation across China estimated from high-density meteorological observations by random forest model framework

description: This dataset contains two data products, site data (Daily Site SSR) and grid point data (Daily Grid SSR). 
Daily Site SSR: Introduces a high-precision estimation model that integrates multi-source data fusion and the spatio-temporal random forest algorithm to provide more accurate and reliable estimated SSR at 2379 stations in China during 1980-2020.
Daily Grid SSR: The station estimated SSR data is interpolated into grid data by thin plate spline interpolation method, and the resolution is reasonable at 0.5° × 0.5°. lat=arange(18,54,0.5), lon = arange(72,136,0.5).

Correspondence to: Zhaoliang Zeng (zhaoliang.zeng@whu.edu.cn)
Institutions: Chinese Academy of Meteorological Sciences
DOI: 10.17632/tkbf745gkg.1
title: C5a-licensed phagocytes drive sterilizing immunity during systemic fungal infection_Desai et al

description: Raw data of paper (PMID: 37220746)
DOI: 10.17632/65k3y4smr5.1
title: ATG5 attenuates inflammatory signaling in embryonic stem cells to control differentiation

description: Attenuated inflammatory responses to both inflammation-related cytokines and infectious agents are recognized as a unique property of embryonic stem cells (ESCs). Although an increasing number of studies have reported this attenuation, the underlying molecular mechanisms are still unclear. Moreover, whether the attenuated inflammatory status is involved in ESC differentiation is completely unknown. Here, we found that the autophagy-related protein ATG5 is essential for both the attenuated inflammatory response and the differentiation of ESCs, and that the attenuation of inflammatory signaling is required for ESC differentiation. Mechanistically, ATG5 promotes 26S proteasome-mediated degradation of the SCF (SKP1-cullin-1-F-box-protein) E3 ubiquitin ligase β-TrCP1 (beta-transducin repeat containing E3 ubiquitin protein ligase 1), which is a well-known positive regulator of NF-κB signaling and the inflammatory response. Another SCF E3 ubiquitin ligase, FBXW7 (F-box and WD repeat domain containing 7), which is recruited by ATG5, was found to be the E3 ubiquitin ligase responsible for the ubiquitination and degradation of β-TrCP1. Moreover, the differentiation defects observed in ATG5-depleted ESCs are due to the accumulation of β-TrCP1 and the related hyperactivation of NF-κB signaling, as loss of β-TrCP1 and inhibition of NF-κB signaling rescued the differentiation defects in ATG5-depleted ESCs. Therefore, this study reveals a previously uncharacterized mechanism employed by ESCs to maintain the inflammatory response in an attenuated state and further provides novel insight into the biological roles of ATG5, especially in the control of the inflammatory response and differentiation of ESCs.
DOI: 10.17632/6yx6my74ys.2
title: Preventive Efficacy of Silver Diamine Fluoride and MI Varnish on Molars Affected by Molar Incisor Hypomineralization in Children: A Randomized Controlled Trial (CONSORT flow diagram and CONSORT checklist)

description: CONSORT Checklist and CONSORT flow diagram
DOI: 10.17632/2nbnmzs2p3.1
title: R code for import and transformation of microCT data- verterbal postion

description: R code for import and transformation of microCT data- verterbal postion in zebrafish
DOI: 10.17632/zwkhfxscjz.1
title: FarmED field campaign 2022/2023

description: Field data gathered during in situ campaign at FarmED (https://www.farm-ed.co.uk), in the 4-year old herbal ley (H) and arable plot (A).
Core data refer to denitrification measurement made using the method of Micucci et al. (2024): Towards enhanced sensitivity of the 15N gas flux method for quantifying denitrification in soil https://doi.org/10.1016/j.soilbio.2024.109421
The greenhouse gas measurements were made using a static chamber approach.
Other soil metrics (such as moisture, DOC etc.) were also measured.
A third nearby field (GC) under grass-clover ley was also studied.
DOI: 10.17632/mwkxx3h9f3.1
title: Data for International virtual water trade of Vietnam

description: This is Data for International virtual water trade of Vietnam
DOI: 10.17632/4hz3wx6wm5.1
title: Credal Dog-7

description: Most datasets used for classification use hard labels. Credal Dog-7 was labeled uncertainly and imprecisely by contributors during crowdsourcing campaigns. Resulting in richer labels, modeled with the theory of belief funtions, which generalizes several reasoning frameworks with uncertainty. These datasets can be used with classical models using hard labels but also with probabilistic, fuzzy or even evidential models.

Dataset:
7 classes, 700 observations, 43 features (or raw picture)

When using the dataset please cite :
A. Hoarau, C. Thierry, A. Martin, J.-C. Dubois, Y. Le Gall, "Datasets with rich labels for machine learning", in: FUZZ-IEEE, 2023.

Credal Dog-7 dataset
├── data
│ ├── classes.csv: Classes of the dataset
│ ├── X.csv: Features of the dataset
│ ├── X_512.csv: Learge 512 features vector of the dataset
│ ├── X_pictures.csv: Rawn features (The picture itself)
│ ├── y.csv: Rich labels
│ └── y_true.csv: True labels
└── extra
 ├── y_hard.csv: Hard labels given during a new campaign
 ├── DATA_imperfect.csv: Imperfect answers given during the campaign
 ├── ITERATION_imperfect.csv: Imperfect 2nd step answers given during the campaign
 ├── EVENT_imperfect.csv: Contributors events
 ├── ID_imperfect.csv: Contributors IDs
 └── DATA_perfect.csv: Precise answers given during a new campaign
DOI: 10.17632/4hz3wx6wm5.2
title: Credal Dog-7

description: Most datasets used for classification use hard labels. Credal Dog-7 was labeled uncertainly and imprecisely by contributors during crowdsourcing campaigns. Resulting in richer labels, modeled with the theory of belief funtions, which generalizes several reasoning frameworks with uncertainty. These datasets can be used with classical models using hard labels but also with probabilistic, fuzzy or even evidential models.

Dataset:
7 classes, 700 observations, 43 features (or raw pictures)

When using the dataset please cite :
A. Hoarau, C. Thierry, A. Martin, J.-C. Dubois, Y. Le Gall, "Datasets with rich labels for machine learning", in: FUZZ-IEEE, 2023.

Credal Dog-7 dataset
├── data
│ ├── classes.csv: Classes of the dataset
│ ├── X.csv: Features of the dataset
│ ├── X_512.csv: Learge 512 features vector of the dataset
│ ├── X_pictures.csv: Raw features (Pictures themselves)
│ ├── y.csv: Rich labels
│ └── y_true.csv: True labels
└── extra
 ├── y_hard.csv: Hard labels given during a new campaign
 ├── DATA_imperfect.csv: Imperfect answers given during the campaign
 ├── ITERATION_imperfect.csv: Imperfect 2nd step answers given during the campaign
 ├── EVENT_imperfect.csv: Contributors events
 ├── ID_imperfect.csv: Contributors IDs
 └── DATA_perfect.csv: Precise answers given during a new campaign
DOI: 10.17632/4hz3wx6wm5.3
title: Credal Dog-7

description: Most datasets used for classification use hard labels. Credal Dog-7 was labeled uncertainly and imprecisely by contributors during crowdsourcing campaigns. Resulting in richer labels, modeled with the theory of belief funtions, which generalizes several reasoning frameworks with uncertainty. These datasets can be used with classical models using hard labels but also with probabilistic, fuzzy or even evidential models.

Dataset:
7 classes, 700 observations, 43 features (or raw pictures)

When using the dataset please cite :
A. Hoarau, C. Thierry, A. Martin, J.-C. Dubois, Y. Le Gall, "Datasets with rich labels for machine learning", in: FUZZ-IEEE, 2023.

Credal Dog-7 dataset
├── data
│ ├── classes.csv: Classes of the dataset
│ ├── X.csv: Features of the dataset
│ ├── X_512.csv: Learge 512 features vector of the dataset
│ ├── X_pictures.csv: Raw features (Pictures themselves)
│ ├── y.csv: Rich labels
│ └── y_true.csv: True labels
└── extra
 ├── y_hard.csv: Hard labels given during a new campaign
 ├── DATA_imperfect.csv: Imperfect answers given during the campaign
 ├── ITERATION_imperfect.csv: Imperfect 2nd step answers given during the campaign
 ├── EVENT_imperfect.csv: Contributors events
 ├── ID_imperfect.csv: Contributors IDs
 └── DATA_perfect.csv: Precise answers given during a new campaign

Credal Dog-4:
https://data.mendeley.com/datasets/44zpkbrpxb
Credal Dog-2:
https://data.mendeley.com/datasets/95mmjfrsyh
Credal Bird-10:
https://data.mendeley.com/datasets/9sz5vm8g7h
Credal Bird-2:
https://data.mendeley.com/datasets/v8k6c5s9cy
DOI: 10.17632/k4dbt2f54g.1
title: Dataset: carbon and nitrogen content in coarse woody debris sampled in northern Brazilian Amazon

description: The dataset provides information on carbon and nitrogen content (%) in coarse woody debris pieces (stem diameter ≥ 10 cm) sampled in two different Protected Areas situated in state of Roraima, northern Brazilian Amazon: Maracá Ecological Station (Maraca) and Viruá National Park (Virua). Both areas are PPBio (Biodiversity Research Program) grids characterized by distinct forest types. Our sampling took into consideration 128 pieces: 56 (Maraca) and 72 (Virua). All pieces were observed/measured in 2008, as specified in Silva, L.F.S.G.; Castilho, C.V.; Cavalcante, C.O.; Pimentel, T.P.; Fearnside, P.M.; Barbosa, R.I. 2016. Production and stock of coarse woody debris across a hydro-edaphic gradient of oligotrophic forests in the northern Brazilian Amazon. Forest Ecology and Management, 364: 1-9 (doi: 10.1016/j.foreco.2015.12.045). Our dataset has a file (carbon_nitrogen_NECROMASS.xlx) where are presented all information for each sampled piece (wood_piece_number), associated to the carbon content (%), nitrogen content (%), taxonomy (family; species), sampling date, etc. The dataset was supported by supported by INPA’s institutional project ‘‘Ecology and Management of Natural Resources of the Roraima Savanna” (PPI-INPA 012/18; 2008–2012) and the Biodiversity Research Program (PPBio Western Amazonia, Manaus). The National Council for Scientific and Technological Development of Brazil provided fellowships for R.I. Barbosa (CNPq 306286/2008-4) and P.M. Fearnside (CNPq 304020/2010-9). L.F.S.G. Silva and C. O. Cavalcante were supported by post-graduate fellowships provided by Brazilian Coordination for the Improvement of Higher Education Personnel (CAPES). The Chico Mendes Institute for Biodiversity Conservation (ICMBio) provided infrastructure and authorization for the study (Authorizations 17398-1 and 17398-2 in 2009; 22576-1 in 2010).
DOI: 10.17632/z8ppntdpn5.1
title: Fiscal Year 2023 Peer Reviewed Medical Research Program

description: The proposed research will include data from two common mouse models of Friedreich Ataxia: the neurodegeneration-free FXN knock-in/knockout (Mild phenotype) and doxycycline-inducible FXN knockdown (Aggressive phenotype). The final data set will include raw data extracted from experiments such as electrophysiology recordings, two photon imaging of calcium dynamics from cell soma and mitochondria, biochemical analysis of synaptic and mitochondrial markers expression and distribution, and behavioral analyses of motor function.
DOI: 10.17632/6hgh5zrny5.1
title: Comprehensive study of Mechanical and Electrical Properties of Conductive Polymer Composites for Medical Applications through Additive Manufacturing

description: Data of the mechanical, electrical measurements.
Mechanical measurements: tensile, 3-point bending, Charpy impact, Shore D hardness
Electrical tests: signal transfer, electrical resistance during cyclic tensile test, electrical resisitance during cycling the temperature.
DOI: 10.17632/6hgh5zrny5.3
title: Dataset of Comprehensive study of Mechanical, Electrical and Biological Properties of Conductive Polymer Composites for Medical Applications through Additive Manufacturing

description: Data of the mechanical, electrical and biological measurements.
Mechanical measurements: tensile, 3-point bending, Charpy impact, Shore D hardness
Electrical tests: signal transfer, electrical resistance during cyclic tensile test, electrical resisitance during cycling the temperature, electrical resistance during 3-point bendig test
Biological tests: cytotoxicity and light microscopy
DOI: 10.5281/zenodo.11037588
title: EXE2: dataset 2 collected within the framework of the Civil Protection Exercise "EXE.Lomb.Est 2023"

description: Raw images dataset collected using multi-rotor UASs within the second assignment EXE 2 of the medium-scale technical civil protection exercise “EXE.Lomb.Est 2023”, carried out in October 2023 during Italian Civil Protection Week. 

The assignment is related to the post-event rapid mapping of a medium-size area for fast assessment.

The technical group is a network of Italian Civil Protection Centre of Competence with internal UAS units.

 
description: Part of the dataset collection has been carried out under the financial support of the Italian Civil Protection (within the framework of the Executive Project 2022–2023 with the EUCENTRE Foundation) and of the Lombardy Region (within the convention 2022-2024 with the EUCENTRE Foundation: L.R. 27/2021- art. 8; L.R: 33/2015 e DGR 5935/2022).
description: In addition to the contributors, the following participants actively supported the dataset collection: Ilaria Enrica Senaldi, Emanuele Brunesi, Stefano Bracchi and Igor Lanese (EUCENTRE Foundation); Andrea Giorgi and Luca Stefanoli (ARPA Valle d'Aosta); Gianluca Negra (CIMA Foundation); Salvatore Arcuri (ARPA Calabria); Dario Bellingeri (ARPA Lombardia); Daniele Trippanera, Martina Forzese, Alessandro Fornaciai and Andrea Bevilacqua (INGV); Andrea Berton, Angelo Ballaera, Roberto De Franco and Grazia Caielli (CNR); Gabriele Scaduto (Università di Firenze).
DOI: 10.5281/zenodo.11037589
title: EXE2: dataset 2 collected within the framework of the Civil Protection Exercise "EXE.Lomb.Est 2023"

description: Raw images dataset collected using multi-rotor UASs within the second assignment EXE 2 of the medium-scale technical civil protection exercise “EXE.Lomb.Est 2023”, carried out in October 2023 during Italian Civil Protection Week. 

The assignment is related to the post-event rapid mapping of a medium-size area for fast assessment.

The technical group is a network of Italian Civil Protection Centre of Competence with internal UAS units.

 
description: Part of the dataset collection has been carried out under the financial support of the Italian Civil Protection (within the framework of the Executive Project 2022–2023 with the EUCENTRE Foundation) and of the Lombardy Region (within the convention 2022-2024 with the EUCENTRE Foundation: L.R. 27/2021- art. 8; L.R: 33/2015 e DGR 5935/2022).
description: In addition to the contributors, the following participants actively supported the dataset collection: Ilaria Enrica Senaldi, Emanuele Brunesi, Stefano Bracchi and Igor Lanese (EUCENTRE Foundation); Andrea Giorgi and Luca Stefanoli (ARPA Valle d'Aosta); Gianluca Negra (CIMA Foundation); Salvatore Arcuri (ARPA Calabria); Dario Bellingeri (ARPA Lombardia); Daniele Trippanera, Martina Forzese, Alessandro Fornaciai and Andrea Bevilacqua (INGV); Andrea Berton, Angelo Ballaera, Roberto De Franco and Grazia Caielli (CNR); Gabriele Scaduto (Università di Firenze).
DOI: 10.17632/6hgh5zrny5.2
title: Dataset of Comprehensive study of Mechanical, Electrical and Biological Properties of Conductive Polymer Composites for Medical Applications through Additive Manufacturing

description: Data of the mechanical, electrical and biological measurements.
Mechanical measurements: tensile, 3-point bending, Charpy impact, Shore D hardness
Electrical tests: signal transfer, electrical resistance during cyclic tensile test, electrical resisitance during cycling the temperature, electrical resistance during 3-point bendig test
Biological tests: cytotoxicity and light microscopy
DOI: 10.17632/by4wfcys6z.1
title: Analysis of Impact and Absorbed Energy of Fritillaria Ussuriensis Maxim during Drum Screening and Its Effect on Impact Damage

description: To analyze the severe mechanical damage of Fritillaria ussuriensis Maxim (FUM) during drum screening, the sliding speed of the FUM lifting plate, maximum separation angle of the lifting plate, falling height corresponding to the maximum separation angle, and impact energy of FUM on the contact materials of the drum wall were determined by conducting theoretical analysis based on the equations of sliding motion of the FUM mixture along the lifting plate, slanting motion, force balance, and kinetic energy. The maximum separation angle of a FUM mixture was measured by employing high-speed photography, and the theoretical formula was revised. The impact force data was collected using a Model 1199 stress–strain sensor, and the evaluation index of the relationship between the absorbed energy and the impact force was established. The effects of the falling height, collision material, and falling direction on the energy absorption of FUM were analyzed by performing a single-factor test. The results of theoretical and experimental analyses showed that the sliding speed of the FUM lifting plate increased with the increase in the drum’s rotating speed and that the falling height and impact energy initially increased and then decreased with the increase in the drum’s rotating speed. The absorption energy of FUM increased with the increase in the falling height, but the absorption energy of forward falling and lateral falling had no significant change with mass. The effect of the impact materials (steels plate, FUM, soil, and screening mesh) on the absorption energy of FUM was determined. The percentage of damage and breakage of FUM had a quadratic relation with the impact energy, and their determination coefficients were 0.97054 and 0.99993, respectively. The results of this study can be useful for the optimization of key parameters during the design of a low-loss screening device for FUM harvesting.
DOI: 10.17632/f3jcwz7tdj.1
title: Elucidating the Role of Oxidation in Two-dimensional Silicon Nanosheets

description: We report a synthetic protocol that yields hydrogen-terminated 2D silicon nanosheets with greatly reduced siloxane (e.g., Si-O-Si, OXSi) content. These nanosheets displayed weak, broad photoluminescence centered near 610 nm with an absolute photoluminescence quantum yield as low as 0.3%. Intentional oxidization of the nanosheets blueshifted the photoluminescence peak to 510 nm and increased the quantum yield by more than an order of magnitude to 8.5%. These results show that controlled oxidation modulates the bandgap of 2D silicon and that previously reported photoluminescence properties for this material resulted, in part, from oxidation.
DOI: 10.17632/mxp89v7pfv.1
title: Calibration and validation data to build an advection-dispersion model for routing suspended sediment down the river network

description: The flow and sediment concentration data from three monitoring sites in the Manawatu River, used for calibration and validation of an advection-dispersion model for routing suspended sediment through the river network, can be found here. The data includes the date, flow discharge, unit flow, depth, total sediment concentration, and sediment concentration for each size fraction class at each monitoring site.