cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.24972477.v1
title: Supplementary Material for: The prenatal hypoxic pathology associated with maternal stress predisposes to dysregulated expression of the chrna7 gene and the subsequent development of nicotine addiction in adult offspring

description: Introduction: Previous studies have shown that fetal hypoxia predisposes individuals to develop addictive disorders in adulthood. However, the specific impact of maternal stress, mediated through glucocorticoids and often coexisting with fetal hypoxia, is not yet fully comprehended. Methods: To delineate the potential effects of these pathological factors, we designed models of prenatal severe hypoxia (PSH) in conjunction with maternal stress and prenatal intrauterine ischemia (PII). We assessed the suitability of these models for our research objectives by measuring HIF1α levels and evaluating the glucocorticoid neuroendocrine system. To ascertain nicotine dependence, we employed the conditioned place aversion test and the startle response test. To identify the key factor implicated in nicotine addiction associated with PSH, we employed techniques such as western blot, immunohistochemistry, and correlational analysis between chrna7 and nr3c1 genes across different brain structures. Results: In adult rats exposed to PSH and PII, we observed increased levels of HIF1α in the hippocampus (HPC). However, the PSH group alone exhibited reduced glucocorticoid receptor (GR) levels and disturbed circadian glucocorticoid rhythms. Additionally, they displayed signs of nicotine addiction in the conditioned place aversion and startle response tests. We also observed elevated levels of phosphorylated DARPP-32 protein in the nucleus accumbens (NAc) indicated compromised glutamatergic efferent signaling. Furthermore, there was reduced expression of α7 nAChR, which modulates glutamate release, in the medial prefrontal cortex (PFC) and HPC. Correlation analysis revealed strong associations between chrna7 and nr3c1 expression in both brain structures.
Conclusion: Perturbations in the glucocorticoid neuroendocrine system and glucocorticoid-dependent gene expression of chrna7 associated with maternal stress response to hypoxia in prenatal period favor the development of nicotine addiction in adulthood.
DOI: 10.17036/researchdata.aston.ac.uk.00000623
title: Data Transcription 17, 18, 19, 20, 21 December 2018 from Radyo Kiskeya
DOI: 10.34740/kaggle/dsv/7375704
title: Egypt Gold Prices | Daily Updated
DOI: 10.17036/researchdata.aston.ac.uk.00000625
title: Data Transcription 15 December 2018 Live Chat from Radyo Signal FM Moman Verite - Diamesic Variation
DOI: 10.17036/researchdata.aston.ac.uk.00000624
title: Data Transcription 15 December 2018 Part 1 and Part 2 from Radyo Signal FM
DOI: 10.21335/nmdc-1107597377
title: CTD data from Nansen Legacy Cruise - Seasonal cruise Q3

description: The Nansen Legacy cruise Q3 (Q3: 3rd quarter of the year) initiated the seasonal investigation of the northern Barents Sea and adjacent Arctic Basin. The cruise focused on comparing the state of the physical, chemical and biological conditions along the Nansen Legacy main transect in open waters and within the sea ice, addressing objectives of the work packages ‘Physical drivers’ (Research Foci 1), ‘Human impact’ (Research Foci 2) and ‘The living Barents Sea’ (Research Foci 3).
DOI: 10.21335/nmdc-1491279668
title: CTD data from Nansen Legacy Cruise - Seasonal Cruise Q1

description: The Nansen Legacy cruise Q1 (Q1: 1st quarter of the year) was part of the seasonal investigation of the northern Barents Sea and adjacent Arctic Basin. The cruise was conducted in March 2021, and focused on comparing the physical, chemical and biological conditions along the Nansen Legacy main transect in open waters and within the sea ice. The cruise addressed objectives of the work packages ‘Physical drivers’ (Research Foci 1), ‘Human impact’ (Research Foci 2) and ‘The living Barents Sea’ (Research Foci 3).
DOI: 10.21335/nmdc-1588963816
title: Flow cytometry measurements (abundance of virus, bacteria and small protists (primarily &lt;20μm)) during Nansen Legacy cruises

description: Main overview of cruises where datasets of flow cytometry measurements (abundance of virus, bacteria and small protists (primarily &lt;20μm)) has been taken as part of the Nansen Legacy project (www.arvenetternansen.com).
DOI: 10.21335/nmdc-1663991306
title: Elemental concentration measurements (Na, Mg, Si, P, S, K, Ca, Mn, Fe, Zn) of particulate matter using XRF (X-ray fluorescence) analysis during Nansen Legacy Cruises

description: Main overview of cruises where datasets of elemental concentration measurements (Na, Mg, Si, P, S, K, Ca, Mn, Fe, Zn) of particulate matter using XRF (X-ray fluorescence) has been taken as part of the Nansen Legacy project (www.arvenetternansen.com). CTD-rosette with Niskin bottles from station P1 (NLEG01) taken on 2018-08-08T22:37:00Z at 75.9966°N and 31.2299°E.
DOI: 10.21335/nmdc-1747434716
title: Water column data on dissolved inorganic nutrients (nitrite, nitrate, phosphate and silicic acid) from Process (P) stations during the Nansen LEGACY joint cruise JC2-1, 2021708, with R.V. Kronprins Haakon, 14-24 July 2021

description: The cruise 2021708 aboard the Research Vessel Kronprins Haakon is the joint cruise JC2-1 of the project the Nansen LEGACY. LEGACY is the Norwegian Arctic research community’s joint effort to establish a holistic understanding of a changing marine Arctic climate and ecosystem. Water column temperature and salinity profiles were obtained with a conductivity-temperature-depth (CTD) sensor system Sea-Bird SBE 911+ mounted on a General Oceanics rosette sampler equipped with 24 Niskin bottles used for seawater sampling of chemical variables in the water column. Samples for the determination of dissolved inorganic nutrients were collected from full water column at a total of 7 stations in the northern Barents Sea. The seawater samples were collected from Niskin bottles in 20 ml plastic HDPE vials (rinsed three times) and preserved with 250 µL chloroform and stored +4C and dark until post-cruise analysis of nitrite (NO2), nitrate (NO3-), phosphate (PO43-), and silicate (Si(OH)4), following standard methods (Grasshoff et al., 2009) at the chemical laboratory at Institute of Marine Research, Bergen, Norway. Three replicates were analyzed for each sample. The detection limits are 0.06 µmol/L, 0.5 µmol/L, 0.06 µmol/L and 0.7 µmol/L for NO2, NO3-, PO43-, and Si(OH)4, respectively. The study was funded by the Research Council of Norway through the project The Nansen LEGACY (RCN #276730).
DOI: 10.21335/nmdc-1815353537
title: Bacterial production measurements (rate of production of biomass expressed as carbon by prokaryotes [bacteria and archaea]) during Nansen Legacy Cruises

description: Main overview of cruises where datasets of bacterial production measurements (rate of production of biomass expressed as carbon by prokaryotes [bacteria and archaea]) has been taken as part of the Nansen Legacy project (www.arvenetternansen.com).
DOI: 10.21335/nmdc-2085836005
title: CTD data from Nansen Legacy Cruise - Joint cruise 2-1

description: The Joint Cruise 2-1 addressed objectives of the work packages ‘Physical drivers’ (Research Foci 1), ‘Human impact’ (Research Foci 2) and ‘The living Barents Sea’ (Research Foci 3) along the Nansen Legacy transect in open water and within the sea ice. The cruise focussed on comparing the state of the physical, chemical and biological conditions in the southern and northern parts of the study area.
DOI: 10.21335/nmdc-515075317
title: CTD data from Nansen Legacy Cruise - Seasonal cruise Q2

description: The Nansen Legacy cruise Q2 (Q2: 2nd quarter of the year) was part of the seasonal investigation of the northern Barents Sea and adjacent Arctic Basin. The cruise was conducted during the spring period – a biologically critical time window when a large part of the annual primary production occurs – and focused on comparing the physical, chemical and biological conditions along the Nansen Legacy main transect in open waters and within the sea ice. The cruise addressed objectives of the work packages ‘Physical drivers’ (Research Focus 1), ‘Human impact’ (Research Focus 2), ‘The living Barents Sea’ (Research Focus 3) and ‘Technology and method development’ (Research Activity C).
DOI: 10.6084/m9.figshare.24499936.v5
title: <b>An Empirical Model of The Lowest Cutoff Altitude of Equatorial Hiss</b>

description: These data are from Figures 1 - 4 in the paper "<b>An Empirical Model of The Lowest Cutoff Altitude of Equatorial Hiss</b>".
DOI: 10.6084/m9.figshare.24474484.v1
title: Gene expression of coral larvae in response to elevated temperature and acidification

description: This dataset is comprised of 16 samples collected from four treatments. These samples were collected randomly, resulting in a highly unique and valuable gene expression dataset. In combination with preciously published datasets, this new transcriptomic resource will facilitate detailed investigation of the effects of elevated temperature and acidification on coral larvae, and the potential to translate aspects of this biology to understand symbiosis.
DOI: 10.17632/m8hbh5dwrx.2
title: Data for: Untangling the evolution of soldier beetles (Coleoptera: Cantharidae) and the evaluation of morphological phylogenetic signal in a soft-bodied elateroid lineage

description: Data for: Untangling the evolution of soldier beetles (Coleoptera: Cantharidae) and the evaluation of morphological phylogenetic signal in a soft-bodied elateroid lineage.
DOI: 10.17632/m8hbh5dwrx.1
title: Data for: Untangling the evolution of soldier beetles (Coleoptera: Cantharidae) and the evaluation of morphological phylogenetic signal in a soft-bodied elateroid lineage

description: Data for: Untangling the evolution of soldier beetles (Coleoptera: Cantharidae) and the evaluation of morphological phylogenetic signal in a soft-bodied elateroid lineage.
DOI: 10.17632/kpvykv3hb6.1
title: Sustainable utilization of feather waste to produce alkaline serine protease by genetically engineered Bacillus amyloliquefaciens

description: Figure 1: Effects of different signal peptides on the extracellular alkaline serine protease activities
Figure 3: Effect of regultaion of membrane phospholipids and deletion of gene sigF on extracellular alkaline serine protease activities.
Figure 4: Effect of multi-genes stacking regulation on extracellular alkaline serine protease activities.
Figure 5: Effects of different concentrations of feather meals on extracellular alkaline protease activities.
Figure 6a: Change curve of extracellular alkaline serine protease activity of the strains HZ12/SP0, HZ12/SP2 and ΔFCP/SP2.
Figure 6b: Variation curve of soluble protein contents of strains HZ12/pHY300 and ΔFCP/SP2. 
Figure S4: Effects of different concentrations of feather meal on cell growth. Ck represents the initial medium containing 80 g/L of peptone.
DOI: 10.6084/m9.figshare.24474484.v2
title: Gene expression of coral larvae in response to elevated temperature and acidification

description: This dataset is comprised of 16 samples collected from four treatments. These samples were collected randomly, resulting in a highly unique and valuable gene expression dataset. In combination with preciously published datasets, this new transcriptomic resource will facilitate detailed investigation of the effects of elevated temperature and acidification on coral larvae, and the potential to translate aspects of this biology to understand symbiosis.
DOI: 10.5281/zenodo.10219869
title: Original data for article "Is Unsupervised Dimensionality Reduction Sufficient to Decode the Complexities of Electrochemical Impedance Spectra?"

description: The uploaded Jupyter notebooks contain original data generation and processing methods used in the article "Is Unsupervised Dimensionality Reduction Sufficient to Decode the Complexities of Electrochemical Impedance Spectra?" by A. Makogon, F. Kanoufi, and V. Shkirskiy
DOI: 10.5281/zenodo.10219870
title: Original data for article "Is Unsupervised Machine Learning Sufficient to Decode the Complexities of Electrochemical Impedance Spectra?"

description: The uploaded Jupyter notebooks contain original data generation and processing methods used in the article "Is Unsupervised Machine Learning Sufficient to Decode the Complexities of Electrochemical Impedance Spectra?" by A. Makogon, F. Kanoufi, and V. Shkirskiy
DOI: 10.5281/zenodo.10477624
title: Original data for article "Is Unsupervised Dimensionality Reduction Sufficient to Decode the Complexities of Electrochemical Impedance Spectra?"

description: The uploaded Jupyter notebooks contain original data generation and processing methods used in the article "Is Unsupervised Dimensionality Reduction Sufficient to Decode the Complexities of Electrochemical Impedance Spectra?" by A. Makogon, F. Kanoufi, and V. Shkirskiy
DOI: 10.34943/807b1e44-d5b6-4ff0-b46d-72d5a26aee18
title: Barkley Canyon Mid-East Oxygen Sensor Deployed 2023-09-11

description: The Sea-Bird SBE 63 Dissolved Oxygen Sensor 630109 was deployed on 2023-09-11 at Barkley Canyon Mid-East. Barkley Canyon Mid-East is a location in Barkley Canyon near a canyon wall. At this location, benthic processes, biodiversity, and sediment dynamics are observed. This device is a Oxygen Sensor. Oxygen sensors measure dissolved oxygen concentration in seawater. It was deployed on a fixed platform. Data from this deployment were archived and made available through Ocean Networks Canada's Oceans 3.0 digital infrastructure, with quality assurance and derived data products following established practices.
DOI: 10.6084/m9.figshare.24966507
title: Multi-scale-brain-function

description: Cortical time-series signal were derived from fMRI data using the Desikan-Killiany atlas with 68 regions. Structural connectome were generated using the the Desikan-Killiany atlas with 68 regions.
DOI: 10.5281/zenodo.3762962
title: K-EmoCon, a multimodal sensor dataset for continuous emotion recognition in naturalistic conversations

description: While recognizing emotions during social interactions has many potential applications with the popularization of low-cost mobile sensors, the heavy regulation of emotional behaviors in the wild compounds its difficulty. Therefore, studying emotions in the context of social interactions requires a novel dataset comprising multiple modalities and perspectives. K-EmoCon is such a multimodal dataset with comprehensive annotations of continuous emotions during naturalistic conversations. The dataset contains multimodal measurements, including audiovisual recordings, EEG, and peripheral physiological signals, acquired with off-the-shelf devices during 16 approximately 10 minutes long paired debates on a social issue. Distinct from previous datasets, it includes emotion annotations from all three available perspectives: self, debate partner, and external observers. Raters annotated emotional displays with 5 seconds intervals while viewing the debate footage, in terms of arousal-valence and 18 additional categorical emotions. The resulting K-EmoCon is the first multimodal dataset to accommodate the multiperspective assessment of emotions during social interactions.
DOI: 10.5281/zenodo.3814370
title: K-EmoCon, a multimodal sensor dataset for continuous emotion recognition in naturalistic conversations

description: Recognizing emotions during social interactions has many potential applications with the popularization of low-cost mobile sensors, but a challenge remains with the lack of naturalistic affective interaction data. Most existing emotion datasets are limited for studying idiosyncratic emotions arising in the wild as they were collected in constrained environments. Therefore, studying emotions in the context of social interactions requires a novel dataset, and K-EmoCon is such a multimodal dataset with comprehensive annotations of continuous emotions during naturalistic conversations. The dataset contains multimodal measurements, including audiovisual recordings, EEG, and peripheral physiological signals, acquired with off-the-shelf devices from 16 sessions of approximately 10-minute long paired debates on a social issue. Distinct from previous datasets, it includes emotion annotations from all three available perspectives: self, debate partner, and external observers. Raters annotated emotional displays with 5 seconds intervals while viewing the debate footage, in terms of arousal-valence and 18 additional categorical emotions. The resulting K-EmoCon is the first publicly available emotion dataset accommodating the multiperspective assessment of emotions during social interactions.
DOI: 10.6084/m9.figshare.24499936.v6
title: <b>Empirical Models of The Lowest Cutoff Altitude of Equatorial Hiss under Different Geomagnetic Conditions</b>

description: These data are plotted in Figures 1 - 3 and Figure S1.
DOI: 10.25442/hku.24967422
title: Supporting data for "The role of interfacial donor–acceptor percolation in efficient and stable all-polymer solar cells"

description: Dataset that are necessary to interpret, verify and extend the research in the article
DOI: 10.25442/hku.24967422.v1
title: Supporting data for "The role of interfacial donor–acceptor percolation in efficient and stable all-polymer solar cells"

description: Dataset that are necessary to interpret, verify and extend the research in the article
DOI: 10.5281/zenodo.6851298
title: K-EmoPhone, A Mobile and Wearable Dataset with In-Situ Emotion, Stress, and Attention Labels

description: <em><strong>ABSTRACT: </strong></em>With the popularization of low-cost mobile and wearable sensors, many prior studies used such sensors to track and analyze people's mental well-being, productivity, and behavioral patterns. However, there is a lack of open datasets collected in real-world contexts with affective and cognitive state labels such as emotion, stress, and attention. This limits the advances in affective computing and human-computer interaction research. In this work, we present <em>K-EmoPhone</em>, an in-the-wild naturalistic dataset (n=80, 1-week) of smartphone use, wearable sensing, and self-reported affect states from college students. The dataset contains continuous probing of peripheral physiological signals and mobility data measured by off-the-shelf commercial devices in addition to context and interaction data by users' smartphones. Moreover, the dataset includes self-reports of in-situ affect states (n=5,753) such as emotion, stress level, attention level, and disturbance level, acquired by the experience sampling method. The resulting <em>K-EmoPhone</em> dataset helps to advance the research and development of affective computing, emotion intelligence technologies, and attention management based on mobile and wearable sensor data. Last update: Aug. 3, 2022 ----------------------------- * Version 1.0.0 (Aug. 3, 2022) Added <em>P##.zip</em> files, where each P## means the separate participant. Added <em>SubjData.zip</em> file, which includes individual characteristics information and labels.
description: This dataset is currently under review by Scientific Data, Nature. The primary encoding of data files is "utf-8", but "cp949" may be needed due to Korean characters.
DOI: 10.21410/7e4/t3113a
title: Traits de personnalité, démocratie et actualité internationale (ELIPSS 2023)

description: Pour la première fois depuis la mise en place du panel ELIPSS, une enquête est en partie dédiée à la mesure des traits de personnalité des panélistes, via les adaptations françaises des questions issues de l’échelle psychométrique construite sur la base du modèle psychologique de référence “Big Five Inventory (BFI-Fr)”. L'enquête porte également sur l’opinion concernant l’actualité française et internationale, et s’intéresse notamment à la perception des autres pays et de l’Union européenne, à la guerre en Ukraine et à la perception de la démocratie. Enfin, l'enquête comprend une dernière batterie de questions sur les salaires et l'évaluation du pouvoir d'achat des panélistes.
DOI: 10.6084/m9.figshare.22218979
title: Land-cover changes and deforestation drivers in the forest landscape of Banmauk township in the Sagaing Region of upper Myanmar

description: This study focused on the extent of land-cover changes and prediction of probable factors in deforestation based on changes observed from 2000 to 2021 in the forest landscape of Banmauk Township in Myanmar’s Sagaing Region. Landsat 7 ETM+ and Landsat 8 OLI satellite imagery were used to identify seven land-cover classes via supervised random tree classification, and binary logistic regression analysis was used to predict the potential for biophysical and locational factors to affect deforestation. A stratified random sampling method was used to assess the accuracy of the classified maps and to estimate the areas. The study revealed that dense forest coverage decreased from 45.65% in 2000 to 29.01% in 2021, while open forest areas increased from 49.33% to 54.51%. Mining areas exhibited a considerable increase from 0.37% to 5.35%, while settlement and barren/scrub land areas increased from 0.16% to 0.51% and 1.71% to 7.70%, respectively. Agricultural areas slightly increased from 2.11% to 2.33%, while water areas remained almost the same at around 0.60%. Post-classification change detection analysis showed that deforestation occurred mainly through converting forest land to mining and barren/scrub land. The study indicated that lower altitudes and road accessibility are significantly associated with the potential for deforestation.
DOI: 10.6084/m9.figshare.22218979.v1
title: Land-cover changes and deforestation drivers in the forest landscape of Banmauk township in the Sagaing Region of upper Myanmar

description: This study focused on the extent of land-cover changes and prediction of probable factors in deforestation based on changes observed from 2000 to 2021 in the forest landscape of Banmauk Township in Myanmar’s Sagaing Region. Landsat 7 ETM+ and Landsat 8 OLI satellite imagery were used to identify seven land-cover classes via supervised random tree classification, and binary logistic regression analysis was used to predict the potential for biophysical and locational factors to affect deforestation. A stratified random sampling method was used to assess the accuracy of the classified maps and to estimate the areas. The study revealed that dense forest coverage decreased from 45.65% in 2000 to 29.01% in 2021, while open forest areas increased from 49.33% to 54.51%. Mining areas exhibited a considerable increase from 0.37% to 5.35%, while settlement and barren/scrub land areas increased from 0.16% to 0.51% and 1.71% to 7.70%, respectively. Agricultural areas slightly increased from 2.11% to 2.33%, while water areas remained almost the same at around 0.60%. Post-classification change detection analysis showed that deforestation occurred mainly through converting forest land to mining and barren/scrub land. The study indicated that lower altitudes and road accessibility are significantly associated with the potential for deforestation.
DOI: 10.5281/zenodo.10475388
title: Influence of thermal effects on the optomechanical coupling rate in acousto-optic cavities
DOI: 10.5281/zenodo.10475389
title: Influence of thermal effects on the optomechanical coupling rate in acousto-optic cavities
DOI: 10.5281/zenodo.10477620
title: Influence of thermal effects on the optomechanical coupling rate in acousto-optic cavities
DOI: 10.21410/7e4/wppylw
title: GRande Enquête sur l'ENvironnement (ELIPSS 2023)

description: La “GRande Enquête sur l'ENvironnement” réalisée du 4 mai au 1er juin 2023 évalue les attitudes, les préoccupations et les comportements liés à l'environnement. Le questionnaire est divisé en plusieurs sections qui explorent des sujets variés : la perception des enjeux environnementaux, les opinions concernant le changement climatique et son impact, les actions individuelles entreprises pour protéger l'environnement, les positions politiques relatives aux questions environnementales et enfin les réflexions et préoccupations personnelles des participants concernant l'environnement (échelle de mesure de l’anxiété climatique).