cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/8jxkwvzr87.2
title: SEM-EDS Leaf surface image library

description: Scanning electron microscope and elemental studie of Epipremnum aureum leaves exposed to gunshot residue.
DOI: 10.17632/phbsjtcxgx.1
title: Multi-year mole fraction and isotopic records for 5 UK sites

description: CH4 mole fraction and δ13C data that have been measured by Royal Holloway, University of London (RHUL) from five locations around the UK. The samples were collected at Barra/Vatersay (BAR) in the Outer Hebrides, RHUL in Egham (EGH), Weybourne Atmospheric Observatory (WAO) - University of East Anglia, and the Western Channel Observatory (WCO) at two locations (E1 and L4) in the English Channel - Plymouth Marine Lab (PML). 
The Met Office's Numerical Atmospheric-dispersion Modelling Environment (NAME) was used to calculate the sensitivity of measurements, taken at EGH and WAO, to the surrounding emissions field. The raw NAME output files contain information about the locations of the modelled air particles at each time step. This information is processed to create hourly footprints in units of (mol/mol)(mol/m$^2$/s) for each latitude/longitude grid cell.
DOI: 10.17632/phbsjtcxgx.2
title: Multi-year mole fraction and isotopic records for 5 UK sites

description: CH4 mole fraction and δ13C data that have been measured by Royal Holloway, University of London (RHUL) from five locations around the UK. The samples were collected at Barra/Vatersay (BAR) in the Outer Hebrides, RHUL in Egham (EGH), Weybourne Atmospheric Observatory (WAO) - University of East Anglia, and the Western Channel Observatory (WCO) at two locations (E1 and L4) in the English Channel - Plymouth Marine Lab (PML). 

The Met Office's Numerical Atmospheric-dispersion Modelling Environment (NAME) was used to calculate the sensitivity of measurements, taken at EGH and WAO, to the surrounding emissions field. The raw NAME output files contain information about the locations of the modelled air particles at each time step. This information is processed to create hourly footprints in units of (mol/mol)(mol/m$^2$/s) for each latitude/longitude grid cell.
DOI: 10.17632/bzmyszrwby.1
title: Data for Molecular simulations reveal intricate coupling between agonist-bound β-Adrenergic Receptors and G Protein

description: This dataset include all the input, output, and parameter files, as well as short trajectories for the systems we simulated in out paper "Molecular simulations reveal intricate coupling between agonist-bound β-Adrenergic Receptors and G Protein". It includes systems: b1AR-NE, b1AR-Gs, b1AR-Gs-GTP1, b1AR-Gs-GTP2, b1AR-Gs-GDP1, b1AR-Gs-GDP2, b2AR-NE, b2AR-Gs, b2AR-Gs-GTP1, b2AR-Gs-GTP2, b2AR-Gs-GDP1, b2AR-Gs-GDP2. The dataset for part of b2AR-NE and b2AR-Gs can be found in another published dataset: https://doi.org/10.25338/B89H1T
DOI: 10.17632/xtk9wsxjjr.1
title: Indonesian Biodiversity-related Tweets Including Health, Food Security, and Environmental Management Issues for Sentiment Analysis

description: The dataset was gathered using Twitter API services for around 30 particular biodiversity-related keywords with dates ranging from January 2020 to March 2023. This data was then refined by filtering out irrelevant information, including non-Indonesian language content, non-Biodiversity data, spam, and duplicate entries. Independent analysts undertook the task of manually assigning sentiment labels to the dataset. These eighteen individuals consisted of twelve researchers and engineers specializing in natural language processing, of which two held Ph.D. degrees, nine had MSc degrees, and one had a BSc degree. Additionally, four lecturers and two experts in natural language processing, each with a Ph.D. or MSc degree, contributed to the labeling process. The sentiments were divided into three classes, and the principle of majority voting determined the final class label.
DOI: 10.17632/xtk9wsxjjr.3
title: Indonesian Biodiversity-related Tweets Including Health, Food Security, and Environmental Management Issues for Sentiment Analysis

description: The dataset was gathered using Twitter API services for around 30 particular biodiversity-related keywords with dates ranging from January 2020 to March 2023. This data was then refined by filtering out irrelevant information, including non-Indonesian language content, non-Biodiversity data, spam, and duplicate entries. Independent analysts undertook the task of manually assigning sentiment labels to the dataset. These eighteen individuals consisted of twelve researchers and engineers specializing in natural language processing, of which two held Ph.D. degrees, nine had MSc degrees, and one had a BSc degree. Additionally, four lecturers and two experts in natural language processing, each with a Ph.D. or MSc degree, contributed to the labeling process. The sentiments were divided into three classes, and the principle of majority voting determined the final class label.
DOI: 10.17632/xtk9wsxjjr.4
title: Indonesian Biodiversity-related Tweets Including Health, Food Security, and Environmental Management Issues for Sentiment Analysis

description: The dataset was gathered using Twitter API services for around 30 particular biodiversity-related keywords with dates ranging from January 2020 to March 2023. This data was then refined by filtering out irrelevant information, including non-Indonesian language content, non-Biodiversity data, spam, and duplicate entries. Independent analysts undertook the task of manually assigning sentiment labels to the dataset. These eighteen individuals consisted of twelve researchers and engineers specializing in natural language processing, of which two held Ph.D. degrees, nine had MSc degrees, and one had a BSc degree. Additionally, four lecturers and two experts in natural language processing, each with a Ph.D. or MSc degree, contributed to the labeling process. The sentiments were divided into three classes, and the principle of majority voting determined the final class label.
DOI: 10.17632/xtk9wsxjjr.2
title: Indonesian Biodiversity-related Tweets Including Health, Food Security, and Environmental Management Issues for Sentiment Analysis

description: The dataset was gathered using Twitter API services for around 30 particular biodiversity-related keywords with dates ranging from January 2020 to March 2023. This data was then refined by filtering out irrelevant information, including non-Indonesian language content, non-Biodiversity data, spam, and duplicate entries. Independent analysts undertook the task of manually assigning sentiment labels to the dataset. These eighteen individuals consisted of twelve researchers and engineers specializing in natural language processing, of which two held Ph.D. degrees, nine had MSc degrees, and one had a BSc degree. Additionally, four lecturers and two experts in natural language processing, each with a Ph.D. or MSc degree, contributed to the labeling process. The sentiments were divided into three classes, and the principle of majority voting determined the final class label.
DOI: 10.17632/233mjz3kd3.1
title: Supplementary figures and equations for "Radiometric approaches with carbon-14-labeled molecules for determining herbicide fate in plant systems"

description: In this dataset we present the correct version of the supplementary information of the published article 
"Munhoz-Garcia, G. V., Takeshita, V., de Werk Pinácio, C., Cardoso, B. C., Dalla Vecchia, B., Nalin, D., ... & Tornisielo, V. L. (2024). Radiometric approaches with carbon-14-labeled molecules for determining herbicide fate in plant systems. Ecotoxicology and Environmental Safety, 284, 117003." https://doi.org/10.1016/j.ecoenv.2024.117003

It is occurring because the Editorial office was not available to publish a new version of this material.
DOI: 10.17632/pvzmrgdv5t.1
title: LDHU3_10.1720

description: Protein of unknown function - conserved; Leishmania donovani (HU3 strain)
DOI: 10.17632/tk3vj4rp72.1
title: Neurovascular development in Pten and Tsc2 mouse mutants

description: Sigma Plot data files containing the data for "Dusing M, LaSarge CL, White A, Jerow LG, Gross C and SC Danzer (2023) Neurovascular development in Pten and Tsc2 mouse mutants. eNeuro, 10(2):ENEURO.0340-22.2023. doi: 10.1523/ENEURO.0340-22.2023.
DOI: 10.17632/hf7vp9f585.1
title: LDHU3_10.1770

description: Mannosyltransferase/phosphorylase | MTP3; Leishmania donovani (HU3 strain)
DOI: 10.17632/s56jcjvrgt.2
title: The novel application of syringe needle in recessive dystrophic epidermolysis bullosa syndactyly release surgery.

description: Supplemental Figures. Before and after surgery.
DOI: 10.17632/y5jr27nfrm.1
title: LDHU3_10.1810

description: Mannosyltransferase/phosphorylase | MTP6; Leishmania donovani (HU3 strain)
DOI: 10.17632/f9m5p5vvvb.1
title: Surface behavioral events of Sousa chinensis

description: This dataset contains the data regarding the occurrence of breaches, side breaches, and tail slaps of Indo-Pacific humpback dolphins collected in 2021-2022, and the R script used for the statistical analysis of this data.
DOI: 10.17632/9yjb77wxbz.3
title: Datasets of GeoS-NCEP/NCAR

description: comparison of spatiotemporal changes in precipitation and temperature
DOI: 10.17632/5ygkhpszm6.1
title: Conditioned overconsumption is dependent on reinforcer type in lean, but not obese, mice.

description: Associative learning can drive many different types of behaviors, including food consumption. Previous studies have shown that cues paired with food delivery while mice are hungry will lead increased consumption in the presence of those cues at later times. We previously showed that overconsumption can be driven in male mice by contextual cues, using chow pellets. Here we extended our findings by examining other parameters that may influence the outcome of context-conditioned overconsumption training. We found that the task worked equally well in males and females, and that palatable substances such as high-fat diet and Ensure chocolate milkshake supported learning and induced overconsumption. Surprisingly, mice did not overconsume when sucrose was used as the reinforcer during training, suggesting that nutritional content is a critical factor. Interestingly, we also observed that diet-induced obese mice did not learn the task. Overall, we find that context-conditioned overconsumption can be studied in lean males and female mice, and with multiple reinforcer types.
DOI: 10.17632/6xjjjm4f9c.1
title: Socioenvironmental Deprivation Index (SeDI)

description: Development of a socioenvironmental deprivation index for slum health research in the municipality of São Paulo, Brazil [dataset]
DOI: 10.17632/j97khfj656.1
title: Sudden Queen Loss Event in an Africanized Honeybee Colony

description: The dataset consists of 23 features extracted from audio recordings of an Africanized honeybee hive in Fortaleza-CE, Brazil. The first feature is the recording date, and the last is the label indicating the queen's presence status. The label can take two values: "QR" for queenright (presence of queen) or "QL" for queenless (absence of queen). The remaining features are directly extracted from the audio signal, divided into three groups: time-domain features (zcr, energy, and energy entropy), spectral features (centroid, spread, entropy, flux, and rolloff), and 13 MFCC coefficients. For further details on the meaning of each feature, please refer to https://doi.org/10.1371/journal.pone.0144610.t002.

The data were collected from daily recordings over a 6-day period, with the queen bee removed from the dataset on the last day. Consequently, the QR and QL classes are unbalanced, with QL representing only 1/6 of the data. This situation is common in this type of monitoring, where the hive's functioning is expected to remain within normal well-being parameters most of the time. Naturally, anomalies such as the sudden queen loss are uncommon and therefore represent a smaller portion of the data. The experiment and the data aim to replicate and incorporate these conditions for greater fidelity to the addressed problem.

Such issues can be addressed using techniques such as anomaly detection, one-class classification, or incremental learning. Additionally, techniques for handling unbalanced data in classification problems, such as data augmentation and resampling, can be employed. Using OC-SVM, we achieved results with 96% accuracy and 99% precision.
DOI: 10.17632/4yczxggxxh.2
title: Mycobacterium tuberculosis Rv0927c inhibits proliferation and promotes intrinsic apoptosis of alveolar epithelial cell through targeting mitochondrial TUFM

description: Mycobacterium tuberculosis (M. tuberculosis) is the causative agent of tuberculosis (TB), which continues to be a leading cause of death from infectious diseases globally. Lung epithelial cells play a crucial role in the infection process of M. tuberculosis. However, the specific M. tuberculosis proteins that regulate lung epithelial cells remain to be identified, and the mechanisms underlying the interaction between M. tuberculosis and lung epithelial cells are still not fully understood. Here, we found that the Rv0927c inhibits the proliferation of lung epithelial cells (line A549) both in vitro and in vivo. Flow cytometry analysis demonstrated that Rv0927c significantly increased apoptosis in A549 cells and led to a decrease in mitochondrial membrane potential. Additionally, Western blot analysis indicated that Rv0927c facilitated the cleavage of caspase-3, caspase-9, and PARP, while showing no effect on the cleavage level of caspase-8. Furthermore, Rv0927c interacts with host TUFM molecules, which is necessary for Rv0927c to inhibit apoptosis in host cells. Our findings provide evidence that Rv0927c inhibits proliferation and regulates apoptosis by targeting TUFM in A549 cells.
DOI: 10.17632/j4dmwtw5by.1
title: Effect of Temperature and Time on the Physicochemical and Sensory Properties of Crystalized Honey Dataset

description: Effect of Temperature and Time on the Physicochemical and Sensory Properties of Crystalized Honey
DOI: 10.17632/x6xz9dh43n.1
title: GenBank accession ID for RNA-Sequence and Samples

description: GenBank accession ID for RNA-Sequence data and 100 samples collected between 2017 and 2019.
DOI: 10.17632/y5cxyx2trn.1
title: Li_2024_GCA_Data.zip

description: Data available for "Calcite controls colloidal mobilization of sphalerite- and smithsonite-derived Cd and Zn in soils".
DOI: 10.17632/y5cxyx2trn.2
title: Li_2024_GCA_Data.zip

description: Data available for "Colloids control the mobilization of released zinc- and cadmium- species in calcite-rich soils".
DOI: 10.17632/zb7n7dp7zw.1
title: Competitiveness Index

description: This study aimed to analyze the competitiveness of public transit. The data focused on STIS (Seoul Taxi Information System) and Smart cards, generated from people’s traffic patterns in metropolitan areas. To compare and analyze the disparities between these two travel modes, additional data containing socio-economic and geographical information was collected, forming the basis of our research. The dataset comprised information from 2021 to 2022. The final sample encompassed aggregated data from 1,650 grids where both transportation modes were operational.
DOI: 10.17632/zb7n7dp7zw.3
title: Sustainable Urban Mobility

description: This study aimed to analyze the competitiveness of public transit. The data focused on STIS (Seoul Taxi Information System) and Smart cards, generated from people’s traffic patterns in metropolitan areas. To compare and analyze the disparities between these two travel modes, additional data containing socio-economic and geographical information was collected, forming the basis of our research. The dataset comprised information from 2021 to 2022. The final sample encompassed aggregated data from 1,650 grids where both transportation modes were operational.
DOI: 10.17632/zb7n7dp7zw.2
title: Competitiveness Index

description: This study aimed to analyze the competitiveness of public transit. The data focused on STIS (Seoul Taxi Information System) and Smart cards, generated from people’s traffic patterns in metropolitan areas. To compare and analyze the disparities between these two travel modes, additional data containing socio-economic and geographical information was collected, forming the basis of our research. The dataset comprised information from 2021 to 2022. The final sample encompassed aggregated data from 1,650 grids where both transportation modes were operational.
DOI: 10.17632/xcm2tv4hnv.1
title: FNDC5/irisin Mediates the Protective Actions of Innovative Theta-shaking Exercise on Mouse Memory

description: T-Maze Test
The T-maze test was analyzed using a chi-square test. The shaking group showed better accuracy and faster decision-making at 20 weeks. However, only the 30-week shaking group had a slight advantage (p=0.053).
Passive Avoidance Task
During memory acquisition, both groups behaved similarly. Memory regeneration showed improvement, with shaking group mice being less hesitant, indicating better memory retention. At 20 and 30 weeks, both groups improved memory, with the shaking group showing longer latency than the control.
Histomorphology Effects
FNDC5-Positive Reaction: FNDC5 was more pronounced in certain brain regions of the shaking group, including distal CA1, subiculum, DR MPFC, and VR MPFC.
Abnormal Neurons: Shaking exercise resulted in fewer abnormal neurons in regions like upstream DG, proximal CA3, distal CA1, and DR MPFC.
Number of Neurons: The subiculum subregion had more neurons in the shaking group.
ELISA Effects
Irisin: Shaking group had higher irisin levels in the wide-area brain and hippocampus.
NGF Levels: Shaking group had higher NGF levels.
NT4/5: No significant differences in NT4/5 levels between groups.
DOI: 10.17632/sbhch9pxwh.1
title: A Bluetooth Dataset for Proximity Detection in Indoor Environments Collected with Smartphones

description: The dataset contains 32 folders, named R<i>, <i> corresponds to the test number (R1 to R32).

 Each folder contains 2 files:
- -beacons.csv: the file with the raw data

 - timestamp: Unix timestamps in millis

 - name: name of the artwork

 - address: MAC address of the artwork's tag

 - major: ID of the artwork

 -rssi: RSSI value expressed in dBm estimated by the receiving device

--groundtruth.csv: the with the ground truth

 - timestamp: Unix timestamps in millis

 - event: the type of event associated with the entry. IN: visit check-in, OUT: visit check-out

 - artwork: ID of the artwork</i></i>
DOI: 10.17632/sbhch9pxwh.2
title: A Bluetooth Dataset for Proximity Detection in Indoor Environments Collected with Smartphones

description: How to cite this work:

Michele Girolami, Davide La Rosa, Paolo Barsocchi, "A CrowdSensing-based approach for proximity detection in indoor museums with Bluetooth tags", Ad Hoc Networks, Volume 154, 2024, 103367, ISSN 1570-8705,
https://doi.org/10.1016/j.adhoc.2023.103367.


The dataset contains 32 folders, named R<i>, <i> corresponds to the test number (R1 to R32).

 Each folder contains 2 files:
- -beacons.csv: the file with the raw data

 - timestamp: Unix timestamps in millis

 - name: name of the artwork

 - address: MAC address of the artwork's tag

 - major: ID of the artwork

 -rssi: RSSI value expressed in dBm estimated by the receiving device

--groundtruth.csv: the with the ground truth

 - timestamp: Unix timestamps in millis

 - event: the type of event associated with the entry. IN: visit check-in, OUT: visit check-out

 - artwork: ID of the artwork</i></i>
DOI: 10.17632/zh4rsztgj7.1
title: LDHU3_10.1820

description: Mannosyltransferase/phosphorylase | MTP7; Leishmania donovani (HU3 strain)
DOI: 10.17632/bp3jcnfmw8.2
title: Impact of Lipid-lowering Drug Target Perturbation on Risk of Thyroid Dysfunction: A Mendelian Randomization Study

description: Supplementary Materials
DOI: 10.17632/4k6psbgnjx.1
title: LDHU3_11.0020

description: Protein of unknown function - conserved; Leishmania donovani (HU3 strain)
DOI: 10.17632/5yhjfhfkvk.1
title: LDHU3_11.0030

description: Endoplasmic reticulum vesicle transporter; Leishmania donovani (HU3 strain)
DOI: 10.17632/55mxbnp9d7.1
title: LDHU3_10.1850

description: delta-15 fatty acid desaturase; Leishmania donovani (HU3 strain)
DOI: 10.17632/34m2nw33c4.1
title: LDHU3_18.0810

description: Dpy-30 motif containing protein; Leishmania donovani (HU3 strain)
DOI: 10.17632/4whngps32r.1
title: DNA-TFAM smFRET

description: Representative raw microscopy image stacks of donor (Atto565, right panel) and acceptor (Atto67, left panel) fluorescences for LSP, HSP, and NS upon TFAM addition are provided in TIFF format. For each DNA, multiple image stacks (typically 1 ~ 3) were acquired from different sample areas to extract many single-molecule time traces for analysis. The time traces that were used to make Figure 1D-F and 3A-F are provided. Triplicate data sets were further used to obtain the mean and the standard deviation of the kinetic parameters reported in Figure 3G-K and Table S1.
DOI: 10.17632/gpg8jnctrn.1
title: Fast and slow excitatory synapses on somatostatin interneurons in adult V1

description: Data files for Grier et al. "Selective Plasticity of fast and slow excitatory synapses on somatostatin interneurons in adult visual cortex" paper.
DOI: 10.17632/m57yk9cg8x.1
title: LDHU3_11.0100

description: Protein of unknown function - conserved; Leishmania donovani (HU3 strain)
DOI: 10.17632/j3c95zw6w9.1
title: Beyond Words: The Role of Robot Teachers' Nonverbal Social Behavior in Shaping Learning Outcomes - Supplementary Data

description: Experimental data:
The integration of social robots in educational contexts requires a nuanced understanding of how their nonverbal behaviors affect student learning. This study examines the effects of a teaching robot's multimodal nonverbal social behavior, operationalized by the construct of nonverbal immediacy (NVI), on learners' cognitive, motivational, and affective outcomes. Drawing on the Cognitive Theory of Multimedia Learning (CTML) and Social Agency Theory (SAT), we hypothesized that NVI would have both direct negative effects on knowledge acquisition-due to cognitive distraction-and indirect positive effects via increased anthropomorphism and social presence, which may enhance motivation and enjoyment, thus fostering cognitive learning.
A between-subjects, longitudinal design was employed with 64 participants participating in two instructional sessions delivered by a humanoid robot programmed to exhibit either high or low levels of NVI. Results showed that higher perceived NVI was associated with increased anthropomorphism, which in turn positively influenced students' state motivation, enjoyment, and knowledge gain. Despite these indirect positive effects, perceived NVI also had a direct negative effect on knowledge gain, highlighting a dual-pathway mechanism. The results demonstrate that while nonverbal behaviors can enhance socio-emotional engagement and increase knowledge gain, they can also impose cognitive costs that impede learning.
These findings highlight the importance of balancing the design of nonverbal behaviors in educational robots to optimize both cognitive and socio-emotional benefits, and provide insight into the complexities of human-robot interaction in educational settings.
DOI: 10.17632/m83zjmth44.1
title: Export Tax Rebates, Product Ranking, and Exports of Multi-Product Firms

description: This study relies predominantly on the following three datasets covering the 2002–2013 period: customs transaction-level data, firm-level information, and product-level data on export tax rebate rates. Customs transaction-level data collected by the General Administration of Customs of China are monthly data at the Harmonized System (HS) 8-digit level, which are aggregated into annual data and unified to the HS 6-digit level. Firm-level information is provided in detail by the ASIF. Following Brandt et al. (2012), we match customs and ASIF data using information such as the year, firm name, postal code, and telephone number. Product-level data on export tax rebate rates are available from the China Export Tax Rebate Advisory Network. In this study, we match product-level export tax rebate rates with customs trade data based on HS codes and city names.