cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/267dh85vpw.1
title: A Dataset for Categorizing Phrases and Sentences as Statements, Questions, or Exclamations Depending on Sound Pitch

description: Speech is one of humanity's most natural and efficient forms of communication, working as an essential channel for the exchange of ideas and knowledge. In the current technological environment, researchers attempt to improve the collaboration between humans and computers. Fundamental in this approach is Natural Language Processing (NLP), a vibrant area within artificial intelligence that enables computers to understand and react to human language. NLP enhances our comprehension of speech, allowing perfect human-machine interaction.
Recent developments in machine learning, particularly deep learning methodologies, have transformed sound recognition systems. These methods are efficient in extracting complex, advanced features from raw audio data, enabling algorithms to detect small differences that require precise understanding. Pitch is one of the most crucial acoustic characteristics. Pitch variations inform categorisation algorithms to differentiate various types of spoken content, establishing a foundation for enhanced speech analysis.
The importance of pitch is particularly noticeable when classifying speech into specific categories. Age, gender, and fundamental vocal variations can influence the accuracy of speech recognition, making adaptation to these differences essential. Speeches are typically classified into various types: statements, questions, exclamations, and occasionally demands. In specific languages, like Kurdish, identical words or phrases may have varying meanings depending solely on the tone and pitch employed. Consequently, the pitch of a spoken phrase is crucial in communicating its intended message.
Considering these challenges and opportunities, the provided dataset aims to classify phrases and sentences as statements, questions, or exclamations according to their pitch. Audio samples were obtained from various sources, guaranteeing an extensive range of pitch patterns and speech styles. Every sample is carefully labelled to indicate its communicative purpose, providing a valuable resource for training and assessing advanced speech recognition models. This dataset facilitates the creation of customised NLP applications and enhances our comprehension of the impact of acoustic features on language understanding.
DOI: 10.17632/tdgzfz4htz.3
title: PRC1 and PRC2 proximal interactome in mouse embryonic stem cells - Western blots

description: Raw images from all western blot analyses included in this manuscript
DOI: 10.17632/hxrsr77n2d.1
title: Data from: Trait-driven spillover of pollinators across forest-soybean edges

description: Study sites and pollinator samplings
Samplings were conducted from December 2010 to January 2011 in Córdoba, central Argentina. A total of nine circular landscapes (500 m in diameter, hereafter referred to as sites) was chosen, focusing on sites that covered a gradient of forest coverage proportion (from 0.05 to 0.79), with the unforested area occupied mainly by soybean crops. Within each site, pollinators were sampled at six locations: forest interior (at 25 m into the forest from the edge), forest edge (at the first 5 m into the forest from the edge), and within soybean crops at 5, 25, 50, and 100 m from the forest edge. At each location, one yellow pan trap (34 cm diameter and 9 cm depth) was placed at the ground level to collect pollinators. Traps were active for 72 hours in two periods, coinciding with two phenological phases of soybean: late vegetative/early flowering and mass-blooming. After the collecting periods, trap contents were filtered and kept in plastic cups containing 70% ethanol. Flower-visiting hymenopterans (i.e., Apoidea, Vespoidea) were separated for further identification. Species were identified using keys, reference collections, and expert IDs from iNaturalist. In some cases, specimens were identified at the genus or morphospecies level. Ants (Formicidae) and other flightless hymenopterans were excluded from the analysis due to their limited representation and poor role as pollinators. 

Pollinator life-history traits
 We obtained information on eight life-history traits widely recognized in hymenopterans for their relevance in pollination ecology and their potential responsiveness to landscape transformation. For dispersal ability, we measured (1) Community Weighted Mean (CWM) of forewing length from the tegula to the wing apex as a proxy for body size. Regarding life cycle, we included three traits: (2) social behavior, categorized as social or solitary; and (3) cleptoparasitism. For nesting, we included two traits: (4) nesting mode, categorized into nest builders (species that build their own nest), users of nests made by other insects, and users of pre-existing cavities; and (5) nesting location, categorized as below-ground nests (subterranean or endogeic), above-ground (epigeic), or both. In terms of feeding, we included four traits: (6) main food resource of the larvae, categorized as entomophagous (predators, parasitoids, cleptoparasites) or phytophagous (nectar and pollen feeders); (7) flower diet type, categorized as specialist or generalist, with specialists feeding on a specific family or genus of plants for pollen, although they may visit other plants for nectar, while generalist bees collect pollen from a wide variety of plant sources; and (8) soybean pollinators, categorized as soybean visitors (insects previously recorded as visitors of soybean flowers) or non-soybean visitors (insects not recorded visiting soybean).
DOI: 10.17632/j2k3zzv73k.1
title: Replication data and code: Effects of information about irregular migration on transit community attitudes towards migrants

description: The files contain replication data and code (as STATA do-files) that replicate the results presented in the article: Wiig, A., Kolstad, I., Kandilige, L. and Talleraas, C. "Effects of information about irregular migration on transit community attitudes towards migrants".

Please see the README.txt file for details on the replication files.
DOI: 10.17632/d3mtr769jy.1
title: Testing the potential of bush-cricket Barbitistes serricauda as an indicator for structure- and species-rich forests

description: In open-land habitats, Orthoptera are well-known indicators of land use intensity, succession states, and biodiversity. We therefore hypothesized that forest-dwelling Orthoptera may also serve as indicators for biodiversity in temperate forests. We studied the habitat requirements of the common saw bush-cricket, Barbitistes serricauda. As Orthopterans typically depend upon a specific vegetation structure, we assessed canopy structure via hemispherical photography, as well as understory structure and plant diversity via Braun-Blanquet analysis on forest plots with and without presence of Barbitistes serricauda. We conducted the study in several forest types. Forest type did not have an overall effect on its presence, but it was less frequent in alluvial forests. When analyzing habitat parameters in detail, the occurrence of the species was significantly associated with canopy openness, light radiation, vertical vegetation structure and herbaceous plant diversity. We calculated its indicator value for these variables, resulting in a significant indication potential for vertical connectivity and gaps in canopy openness. As these parameters have been shown to benefit many other arthropod species, we conclude that Barbitistes serricauda is a suitable indicator for well-structured forest habitats that can promote diversity. Due to its lack of specialization on certain tree species, it may be used in various forest types and under different management strategies.
DOI: 10.17632/242n6j732y
title: Research Data

description: In-situ iron-carbon galvanic stabilizer for effective remediation of mercury-contaminated soils
DOI: 10.17632/242n6j732y.1
title: Research Data

description: In-situ iron-carbon galvanic stabilizer for effective remediation of mercury-contaminated soils
DOI: 10.17632/x2ryvh4b9k.1
title: Seasonal variation of air-sea CO2 flux and contribution of biological processes to carbon source/sink in a large river-dominated shelf sea

description: The dataset involves oceanographic chemical data from the Changjiang plume-impacted shelf area across four seasons. The sampling periods are as follows: winter (December 25, 2006 - February 5, 2007), spring (March 26 - May 10, 2007), summer (July 15 - August 25, 2006), and autumn (October 3 - December 6, 2007).
DOI: 10.17632/x2ryvh4b9k.2
title: Seasonal variation of air-sea CO2 flux and contribution of biological processes to carbon source/sink in a large river-dominated shelf sea

description: The dataset involves oceanographic chemical data from the Changjiang plume-impacted shelf area across four seasons. The sampling periods are as follows: winter (December 25, 2006 - February 5, 2007), spring (March 26 - May 10, 2007), summer (July 15 - August 25, 2006), and autumn (October 3 - December 6, 2007).
DOI: 10.48670/mds-00354
title: Black Sea Biogeochemistry Analysis and Forecast
DOI: 10.17632/fzftr6rw9d.1
title: The Influence of Budget Cuts on Public Services: An Analytical Review

description: This academic article explores the far-reaching impact of budget cuts on public services, with a detailed focus on healthcare, education, and public safety. Using robust quantitative analyses and comparative case studies drawn from international data sources such as OECD and the World Bank, the study examines how fiscal austerity measures—often implemented to reduce public debt—can lead to significant declines in service quality, increased mortality rates, lower educational outcomes, and rising crime rates. The article synthesizes empirical findings, theoretical frameworks (including fiscal federalism and public choice theory), and policy evaluations to reveal that while budget cuts may offer short-term fiscal relief, they ultimately exacerbate social inequalities and erode human capital. Policy recommendations advocate for targeted fiscal adjustments, efficiency enhancements, stronger social safety nets, and progressive revenue reforms to mitigate these adverse effects. Overall, the article provides a comprehensive, data-driven analysis that informs policymakers on the long-term socioeconomic consequences of austerity measures and outlines sustainable strategies to maintain essential public services.
DOI: 10.17632/rp9p3m2py9.1
title: Data for manuscript 'Gravitational water and natural enrichment of heavy metals in Holocene soils in the southern Chinese Loess Plateau'

description: Tables
DOI: 10.17632/fhf2n75spb.1
title: Data for: Performance of data-based models for early detection of damage in concrete dams

description: Crest displacement [mm] data from simulations of the seasonal displacements of a Buttress dam for 18 years. The data is used for evaluation of the accuracy of damage detection. The data consists of one column with crest displacement from the undamaged dam (UD) and nine rows of crest displacement from the dam with various types of damage. Three locations of damage in the dam and three scenarios were used. The first two locations were to introduce damage in either the whole front plate (FP) or the whole buttress (Bu). The third location was to introduce damage only in cracks corresponding to the crack pattern (Cr) observed at the dam. The three damage time scenarios were used: -Continuous decrease (C) -Instantaneous decrease (I) -Seasonal decrease (S) The data also includes the water temperature, the air temperature outside and air temperature in the dam enclosed area between the front plate and the insulating wall.
DOI: 10.17632/fhf2n75spb.2
title: Data for: Performance of data-based models for early detection of damage in concrete dams

description: Version 2: Correction to duplicate columns of temperature data.

Crest displacement [mm] data from simulations of the seasonal displacements of a Buttress dam for 18 years. The data is used for evaluation of the accuracy of damage detection. The data consists of one column with crest displacement from the undamaged dam (UD) and nine rows of crest displacement from the dam with various types of damage. 
Three locations of damage in the dam and three scenarios were used. The first two locations were to introduce damage in either the whole front plate (FP) or the whole buttress (Bu). The third location was to introduce damage only in cracks corresponding to the crack pattern (Cr) observed at the dam. The three damage time scenarios were used:
-Continuous decrease (C)
-Instantaneous decrease (I)
-Seasonal decrease (S)
The data also includes the water temperature, the air temperature outside and air temperature in the dam enclosed area between the front plate and the insulating wall.
DOI: 10.17632/6g8nspj5dc
title: Dynamics_Humoral_Immunity_Long_COVID

description: This dataset contains Monolix project files and data used to fit the dynamics of RBD-specific antibody responses in two distinct populations: non-Long COVID (no_lc) and Long COVID (lc) patients. The dataset is organized into two main folders, each corresponding to one population:

1. **no_lc (Non-Long COVID Population)**:
 - `no_lc_data.csv`: Contains the longitudinal measurements of RBD-specific antibody levels for individuals without Long COVID.
 - `model.txt`: The structural model file used for fitting the antibody dynamics.
 - `no_lc_fit.mlxtran`: The Monolix project file containing the model setup, data, and estimation settings.
 - `no_lc_fit/`: Output folder generated by Monolix, including parameter estimates, model diagnostics, and visualizations.

2. **lc (Long COVID Population)**:
 - `lc_data.csv`: Contains the longitudinal measurements of RBD-specific antibody levels for individuals with Long COVID.
 - `model.txt`: The structural model file used for fitting the antibody dynamics.
 - `lc_fit.mlxtran`: The Monolix project file containing the model setup, data, and estimation settings.
 - `lc_fit/`: Output folder generated by Monolix, including parameter estimates, model diagnostics, and visualizations.
DOI: 10.17632/6g8nspj5dc.1
title: Dynamics_Humoral_Immunity_Long_COVID

description: This dataset contains Monolix project files and data used to fit the dynamics of RBD-specific antibody responses in two distinct populations: non-Long COVID (no_lc) and Long COVID (lc) patients. The dataset is organized into two main folders, each corresponding to one population:

1. **no_lc (Non-Long COVID Population)**:
 - `no_lc_data.csv`: Contains the longitudinal measurements of RBD-specific antibody levels for individuals without Long COVID.
 - `model.txt`: The structural model file used for fitting the antibody dynamics.
 - `no_lc_fit.mlxtran`: The Monolix project file containing the model setup, data, and estimation settings.
 - `no_lc_fit/`: Output folder generated by Monolix, including parameter estimates, model diagnostics, and visualizations.

2. **lc (Long COVID Population)**:
 - `lc_data.csv`: Contains the longitudinal measurements of RBD-specific antibody levels for individuals with Long COVID.
 - `model.txt`: The structural model file used for fitting the antibody dynamics.
 - `lc_fit.mlxtran`: The Monolix project file containing the model setup, data, and estimation settings.
 - `lc_fit/`: Output folder generated by Monolix, including parameter estimates, model diagnostics, and visualizations.
DOI: 10.17632/9mg42sd35k.1
title: The Jekyll and Hide fish: Phenotype as a determinant of the invasion potential of Polypterus senegalus Cuvier, 1829

description: Explanatory notes for the data:

probability of entering the labyrinth = binary variable distinguishing whether the individual fish entered the labyrinth throughout the observation period

probability of entering the shelter = binary variable distinguishing whether the individual fish entered the shelter throughout the observation period

boldness = continuous variable describing the time in seconds when individual entered the labyrinth (in case that the individual did not enter it, full time, i.e. 600 s was assigned)

time in shelter = continuous variable expressed in seconds used as a measure of shelter occupancy

lateralization = class variable assigning whether the tested individual used the left or right arm of the labyrinth to reach the shelter

air breathing frequency = number of breathings during the 10-min intervals

interval = class variable taking values from 1 to 6

exploration = number of seconds needed to explore the whole maze (i.e. to get the contact with all antennas in the system)

habitat preference = number of detections within particular artificial channel sectors across the given time interval of one hour

activity = number of artificial channel sectors passed across the given time interval of one hour

light interval = distinguished whether the observations during the time interval occurred during the day or night 

probability of eating a food item = binary variable distinguishing whether the individual fish eat a food item during a given time interval or not

phase = class variable describing the phase of the experiment related to the switch of food items

day = class variable assigning every day of the feeding adaptability experiment and reaching the values from 1 to 20
DOI: 10.17632/p8kpdbrhrg.1
title: Original TEM data for "Evolutionary characteristics of lunar soils in young mare basalt regions over the past 3 billion years: insights from samples returned by the Chang’e-5 and Chang’e-6 missions."

description: Original TEM data for "Evolutionary characteristics of lunar soils in young mare basalt regions over the past 3 billion years: insights from samples returned by the Chang’e-5 and Chang’e-6 missions."
DOI: 10.17632/gfp7dyfv6v.1
title: Urban built-up, green spaces and pollution

description: We try to estimate the direct and indirect effects of urban green spaces on air quality while considering the presence and density of urban built-up in Bengaluru. This contains dataset and codes for part 2 of the analysis.
DOI: 10.17632/ykk5xp94vr.1
title: Database of amphibian occurrence in the Amazon

description: Primary biodiversity data are essential for understanding spatial and temporal patterns of biodiversity. Here we provide an extensive database obtained from four distinct sources: online platforms, peer-reviewed publications, non-peer-reviewed academic publications (grey literature) and personal collections deposited in specialized scientific collections. Thus, the database consists of 213,072 georeferenced occurrence records for 951 amphibian species distributed in 24,319 sampling points in the Amazon. This robust database contributed to the understanding of amphibian sampling distribution patterns in the Amazon, highlighting sampling gaps and biases in large-scale amphibian sampling patterns, supporting conservation actions and will be freely accessible for future spatial and temporal analyses that bring understanding of ecological patterns and functions of this important taxonomic group that are amphibians.
DOI: 10.17632/fdb9brpvvr.1
title: Dataset on Factors Affecting Parents’ Decision in Choosing an Integrated Islamic Elementary School

description: This is the raw data/real data of 726 parents' responses to 20 questionnaire items related to their reasons for choosing SDIT. Each item has been coded to make it easier to understand.
DOI: 10.17632/fdb9brpvvr.2
title: Dataset on Factors Affecting Parents’ Decision in Choosing an Integrated Islamic Elementary School

description: There are 3 types of data presented: (1) raw/real data of 726 parents' responses to 20 questionnaire items related to their reasons for choosing SDIT (2 items more not included). (2) Model Plot as an interpretation of the CFA analysis results. (3) List of 22 questionnaire items distributed to parents of students
DOI: 10.17632/ktrts7r2hk.1
title: human Vim-DBS data of membrane potential

description: The data protocols are from Milosevic et al. (2021) (L. Milosevic et al., “A theoretical framework for the site-specific and frequency-dependent neuronal effects of deep brain stimulation,” Brain Stimul, vol. 14, no. 4, pp. 807–821, 2021, doi: 10.1016/j.brs.2021.04.022.) The data were recorded from the thalamic ventral intermediate nucleus (Vim) in human patients receiving DBS for treating essential tremor. Microelectrodes were used to both deliver DBS and perform single-unit recordings. DBS was delivered using 100 µA and symmetric 0.3ms biphasic pulses (150µs cathodal followed by 150 µs anodal). In this work, we used the entire dataset of single-unit recordings of the neurons in the thalamic ventral intermediate nucleus (Vim) of essential tremor patients, during various DBS frequencies (5 to 200 Hz) in Vim. The single-unit recordings during {5, 10, 20, 30, 50, 100, and 200 Hz} Vim-DBS are of length {10, 5, 3, 2, 1, 5, and 2 s}, respectively; for each frequency of DBS, we did 5 to 8 recordings in different patients (total number of patients = 19). To obtain spikes from the single-unit recordings, we did offline analysis and spike template matching. For each single-unit recording, all the narrow stimulus artifacts were removed (0.5 ms from the onset of a DBS pulse). Then the recordings were high pass filtered (≥300 Hz) to better isolate the spikes, which were identified by the template matching using a principal component analysis method in Spike2 (Cambridge Electronic Design, UK).
DOI: 10.48670/mds-00355
title: Black Sea Physics Analysis and Forecast
DOI: 10.17632/hh843fhyp7.1
title: papaya curry

description: Papaya Curry Classification Dataset Description

1. Overview

The dataset consists of over 500 images of papaya curry (Carica papaya), classified into two categories: good and bad. The primary goal is to develop an automated classification model that distinguishes between high-quality and defective papaya curry based on visual characteristics.

2. Data Collection

Camera Used: Redmi 9 Power

Lighting Conditions: Natural daylight

Background: White

Total Samples: 500+

Classification Categories:

Good Papaya Curry: Fresh, well-cooked, properly textured, and visually appealing curry with appropriate color and consistency.

Bad Papaya Curry: Overcooked, undercooked, spoiled, discolored, watery, or containing unwanted particles.



3. Image Properties

Resolution: Varies based on the Redmi 9 Power’s camera settings (typically 48 MP for high-quality images).

File Format: Likely JPEG or PNG

Angle & Focus: Close-up shots focusing on texture, color, and consistency.


4. Features for Classification

Color Variations: Fresh papaya curry appears vibrant orange-yellow, whereas bad samples may show dark spots, excessive oil separation, or an unnatural hue.

Texture & Consistency: Good curry has a smooth, uniform consistency, while bad curry may appear lumpy, watery, or excessively dry.

Presence of Spoilage: Indicators like mold, excessive oil separation, or unnatural glossiness may signify a bad sample.

Foreign Particles: Contamination by burnt elements or external particles can impact classification.


5. Potential Applications

Quality control in food processing.

AI-based food safety assessment.

Automated inspection systems for restaurants and food suppliers.


This dataset provides a structured approach for training machine learning models to distinguish between good and bad papaya curry, ensuring improved food quality assessment.