cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/npmchftsjf
title: Tolerance of an acute warming challenge declines with size in Nile tilapia: evidence of a link to capacity for oxygen uptake

description: It has been proposed that larger individuals within fish species may be more sensitive to global warming, due to limitations in their capacity to provide oxygen for aerobic metabolic activities. This could affect size distributions of populations in a warmer world but evidence is lacking. In Nile tilapia Oreochromis niloticus (n = 18, mass range 21 - 313g), capacity to provide oxygen for aerobic activities (aerobic scope) was inde-pendent of mass at an acclimation temperature of 26 °C. Tolerance of acute warming, however, declined significantly with mass when evaluated as the critical temperature for fatigue from aerobic swimming (CTSmax). The CTSmax protocol challenges a fish to meet the oxygen demands of constant intense aerobic exercise while their demands for basal metabolism are accelerated by incremental warming, culminating in fatigue. CTSmax elicited pronounced increases in oxygen uptake but maximum rates achieved prior to fatigue declined very significantly with mass. Mass-related variation in CTSmax and maximum oxygen uptake rates were positively correlated, which indicates a caus-al relationship. When fish populations are faced with acute thermal stress, larger indi-viduals may become constrained in their ability to perform aerobic activities at lower temperatures than smaller conspecifics. This could affect survival and fitness of larger fish in a world with more frequent and extreme heatwaves, with consequences for population productivity.
Methods
The data were collected on 18 tilapia acclimated to 26 °C, swimming respirometry was used to calculate standard and active metabolic rates, to calculate aerobic scope by difference. CTmax was measured by warming groups of animals in a tank until loss of equilibrium, CTSmax was measured by warming tilapia when they were swimming, until they fatigued.  Data are calculated values, not raw oxygen data (for example).
Also included are data for swimming performance at acclimation temperature, namely maximum aerobic speed, absolute maximum speed and the gait transition speed between these.
Further, the measures of oxygen uptake during incremental warming in CTSmax are carried for each fish studied.
DOI: 10.17605/osf.io/ekr8u
title: State Life Expectancy 1990-2019

description: Panel of Historical State Life Expectancy Data 1990-2019.
I provide cleaned, pared-down Stata and Excel versions of the IHME State Life Expectancy data found here: https://ghdx.healthdata.org/record/ihme-data/united-states-life-expectancy-by-state-white-black-hispanic-race-ethnicity-1990-2019
DOI: 10.6084/m9.figshare.4555438.v2
title: choremes_brunet_mm_1986.svg

description: Vectorisation de la table des chorèmes de Roger Brunet, parue dans Mappemonde 86/4 en 1986.
DOI: 10.17632/4c2whwytgg
title: Raw_data_from_photomechanical_pump-probe_experiment

description: Pump/probe experiment for a PDMS sample with a surface relief grating. The independent variable is time and the dependent variable is a normalized probe intensity from a linear ccd array. The pump causes the diffracted beam to shift across the linear ccd array and light up different pixels. Timing for each intensity set is included.
DOI: 10.6084/m9.figshare.15149523.v1
title: Validation table for the bat sonotype classifier

description: Validation table of the classifier (see reference)
DOI: 10.17632/27gkytj6kx
title: RNA 5-Methylcytosine Facilitates Maternal-to-zygotic Transition through Preventing Maternal mRNA Decay. Yang et al.

description: This file contains all of the original imaing data and source dataset of the paper.
DOI: 10.17632/63m8sjtnvh
title: Mitigation to high temperature improves growth and vase life of Gladiolus cut flowers by regulating antioxidant activities

description: This study was aimed to produce high quality gladiolus cut flower production by application of green net shade so that farmers may be opting to protected cultivation for domestic and export flower markets.
DOI: 10.17632/h7dm83vgvn
title: Data for: ERP markers of visual and auditory imagery: a ‘mind reading’ approach for BCI systems

description: Grand-average ERP waveforms recorded during mental imagery and perception of visual and auditory stimuli in a large group of healthy right-handed participants.  Visual and auditory stimuli representing biologically relevant categories (e.g., faces, animals, voices…) were presented to 30 participants during a perceptual and an imagery condition, to collect the corresponding neural electrical signals. Unprecedented electro-physiological markers of imagery (in absence of sensory stimulation) were identified showing a specific response at given scalp sites and latency during imagination of infants (centroparietal positivity, CPP and late CPP), human faces (anterior negativity, AN), animals (anterior positivity, AP), music (P300), speech (N400), vocalizations (P2-like) and sensory (visual vs. auditory) modality (PN300). 
These ERP markers might be precious tools for BCI systems (pattern recognition, classification or A.I. algorithms) applied to patients affected by consciousness disorders (e.g., in a vegetative or comatose state) or locked-in-patients (e.g. spinal or SLA patients).
DOI: 10.17632/mf6dmrkhh6
title: Rose Leaf Nutritient Deficiency Dataset

description: Title: Rose Leaf Nutritional Deficiency Dataset

Authors: Abu Raihan, Abdul Hasib Uddin, Syed Muntasin Fayaz, Jafrul Sadik, Meraj Ahmmed

Affiliations: Department of Computer Science and Engineering, Khwaja Yunus Ali University, Sirajganj, Bangladesh

Description:
This dataset contains high-resolution images of rose leaves affected by four nutrient deficiencies—heat stress, magnesium deficiency, phosphorus deficiency, and iron deficiency—along with a healthy leaf class. The images were collected over six months from multiple rose gardens in Sirajganj, Bangladesh, using various smartphone cameras under natural lighting. After pre-processing, 539 raw images were retained, and augmentation increased the dataset to 1,500 images. The dataset is well-structured and serves as a benchmark for training machine learning and deep learning models for automated plant health assessment.

Subject Areas: Computer Science, Agriculture Science, AI, Computer Vision, Pattern Recognition

Data Format: JPG images (processed and filtered)

Data Collection:

Captured with smartphones (Redmi Note 10 Pro Max, iPhone 8, Realme X) in different lighting conditions.
Organized into five labeled categories, split into an 80:20 ratio for training and testing.
Usage Notes:
Ideal for developing AI models in plant health classification, image-based diagnosis, and precision agriculture. It supports early nutrient deficiency detection, improving rose cultivation efficiency.
DOI: 10.6084/m9.figshare.27634032.v6
title: Source data for 'Navigating condensate microenvironment to enhance small molecule drug targeting'

description: This repository contains source data for Figures 1-6 and Extended Data Figures. It also includes downloaded raw data, processed data, and gels of purified proteins.
DOI: 10.6084/m9.figshare.3144838.v1
title: Data file for "Investigating the role of assessment method on reports of déjà vu and tip-of-the-tongue states during standard recognition tests"

description: Data file for:<br> Jersakova, R., Moulin, C.J.A. & O’Connor, A.R. <strong> </strong>(accepted 2016). Investigating the role of assessment method on reports of déjà vu and tip-of-the-tongue states during standard recognition tests. <em>PLoS ONE. </em>doi:10.1371/journal.pone.0154334
DOI: 10.17632/3kw76735mf
title: The Association Between Bariatric Surgery and Improvement in Psoriasis: A Systematic Review

description: Supplemental materials for the manuscript titled "The Association Between Bariatric Surgery and Improvement in Psoriasis: A Systematic Review" published in the Journal of the American Academy of Dermatology.
DOI: 10.17632/bhmwhh95j3
title: Dataset of Uzbek verbs with formation and suffixes

description: This dataset has stored information about which words verbs are derived from and with which affixes. The affixes are classified into different categories. With the help of this dataset, it is possible to determine from which part of speech (POS) each Uzbek verb is derived and with which affixes. It also plays an important role in identifying verbs in Uzbek language texts and developing rule-based models for their analysis. Additionally, this dataset plays an important role in building various artificial intelligence models for the morphological and syntactic analysis of Uzbek language texts. Verbs play a crucial role in learning any language; therefore, this dataset can also be used by students in schools and higher education institutions during the learning process. The obtained dataset serves as a valuable resource for researchers and practitioners interested in Uzbek language processing tasks. 

This dataset contains a total of 8,502 tagged words. This dataset contains 9 columns. Below, we provide a description of these columns: 
1.VERB NAME - This column contains the infinitive form of verbs.
2.The "PREVIOUS PART OF SPEECH" column indicates the word class from which the verb is derived. The following annotations are provided in the second column, indicating the preceding part of speech of the verb. Sifat- adjective, ot-noun, fel-verb, taqlid- onomatopoeia, son-number, ravish-adverb, modal-modal
3. The "DERIVATIONAL AFFIX" column contains the word-forming suffix of the verb.
4. The "COLLABORATIVE VOICE AFFIXES" column presents the affixes indicating the collaborative (reciprocal) voice of verbs.
5. The "INTENSIVE VOICE" column contains the affixes indicating the intensive (causative) voice of verbs.
6. The "PASSIVE VOICE" column contains the affixes indicating the passive voice of verbs.
7. The "REFLEXIVE VOICE" column contains the affixes indicating the reflexive voice of verbs.
8. The eighth and ninth columns are INTENSIVE VOICE and COLLABORATIVE VOICE AFFIXES, respectively, because these affixes also appear at the end of the verb
DOI: 10.17632/jr3n94n2t4
title: Data base of cross sections and reaction rates for hydrogen ion sources

description: Abstract Many laboratories are building and operating hydrogen ion sources that generate intense beams, some with the requirement of low emittance. To optimize the design of these sources, several groups have embarked on writing computer models. All models require reaction rates among the numerous constituent species of the hydrogen plasma. HIONDAT is a suite of programs to create, update and use a data base of such reaction rates. Title of program: HIONDAT Catalogue Id: ABHF_v1_0 Nature of problem HIONDAT is a suite of programs to create, update, and use a permanent data base containing information relating to the cross sections and rate coefficients of chemical reactions in plasmas generated in hydrogen ion sources. In view of the lack of knowledge of cross sections at energies of interest for almost all processes thought to be important, it is necessary to distinguish here those cross sections that are known (by giving their source reference) from those that are conjectured, but that ar ... Versions of this program held in the CPC repository in Mendeley Data ABHF_v1_0; HIONDAT; 10.1016/0010-4655(89)90099-4 This program has been imported from the CPC Program Library held at Queen's University Belfast (1969-2019)
DOI: 10.17632/rv7fdm5gkf
title: PASTA: Python Algorithms for Searching Transition stAtes

description: Chemical reactions are often associated with an energy barrier along the reaction pathway which hinders the spontaneity of the reaction. Changing the energy barrier along the reaction pathway allows one to modulate the performance of a reaction. We present a module, Python Algorithms for Searching Transition stAtes (PASTA), to calculate the energy barrier and locate the transition state of a reaction efficiently. The module is written in python and can perform nudged elastic band, climbing image nudged elastic band and automated nudged elastic band calculations. These methods require the knowledge of the potential energy surface (and its gradient along some direction). This module is written such that it works in conjunction with density functional theory (DFT) codes to obtain this information. Presently it is interfaced with three well known DFT packages: Vienna Ab initio Simulation Package (VASP), Quantum Espresso and Spanish Initiative for Electronic Simulations with Thousands of Atoms (SIESTA). This module is easily extendable and can be interfaced with other DFT, force-field or empirical potential based codes. The uniqueness of the module lies in its user-friendliness. For users with limited computing resources, this module will be an effective tool as it allows to perform the calculations image by image. On the other hand, users with plentiful computing resources (such as users in a high performance computing environment) can perform the calculations for large number of images simultaneously. This module gives users complete flexibility, thereby enabling them to perform calculations on large systems making the best use of the available resources.
DOI: 10.17632/vhmvfbgvxj
title: Wild Animal Facing Extinction

description: Wildlife conservation is an essential matter, particularly in Africa, where hunting and poaching constitute an important danger to rhinos and elephants. Despite the efforts of governments and NGOs, the scarcity of annotated wild animal datasets has hindered the development of computer algorithms for monitoring and protecting these animals in natural reserves and national parks. While advances in technology have enabled institutions to upload images for monitoring purposes, manual annotation remains time-consuming and inefficient. To address this issue, the paper proposes a semi-automatic annotation framework for wild animal dataset construction, focusing on six classes (rhino, elephant, lion, giraffe, cheetah, and zebra). The framework involves training a model on a small manual dataset and using this to semi-automatically label the remaining large-scale dataset. Additionally, the authors manually annotated rhino images with skeletons to be expropriated in computer vision algorithms for pose estimation tasks. This is the first wild animal dataset constructed with boundary box labels based on semi-automatic annotation and rhino skeletons manually annotated. The proposed framework has the potential to expedite research in wildlife protection, serve as a guide for semi-automatic annotation dataset construction, and possess a significant impact on the conservation community. Our dataset is publicly available here: 
Keywords: Wild animal dataset,  semi-automatic annotation, deep learning algorithms, boundary box labels, rhino skeleton, time efficient 

Wild Animals Boundary Box Labels 
Class	Number of Images	        Train	Valid	Test
Rhino	      1389	                        6107	 763	         764
Cheetah	      1150			
Elephant	      1288
Lion	              1277
Zebra	      1321
Giraffe	      1209
Total	      7634

Image = .jpg  & Annotation = .txt

Rhino Skeleton Labels
Class	            Number of Images	Train	Valid	Test
Rhino Skeleton	1410	                1048	262	         100
Total	                1410

Image = .jpg & Annotation = .json

NB: The Rhino Skeleton dataset was annotated manually on this site V7:V7.https://www.v7labs.com and can be separately cited as below:
Citation -  Video Surveillance based Wild Animal Poaching Mitigation (2023).Rhino Skeleton.
BAKANA SIBUSISO REUBEN, V7 Open Datasets. https://darwin.v7labs.com/video-surveillance-based-wild-animal-poaching-mitigation/rhino-skeleton
Also is it publicly available at: https://darwin.v7labs.com/video-surveillance-based-wild-animal-poaching-mitigation/rhino-skeleton
DOI: 10.17632/zrcpg6s3yw
title: The orbifolder: A tool to study the low-energy effective theory of heterotic orbifolds

description: This program has been imported from the CPC Program Library held at Queen's University Belfast (1969-2018) Abstract The orbifolder is a program developed in C++ that computes and analyzes the low-energy effective theory of heterotic orbifold compactifications. The program includes routines to compute the massless spectrum, to identify the allowed couplings in the superpotential, to automatically generate large sets of orbifold models, to identify phenomenologically interesting models (e.g. MSSM-like models) and to analyze their vacuum configurations. Title of program: orbifolder Catalogue Id: AELR_v1_0 Nature of problem Calculating the low energy spectrum of heterotic orbifold compactifications. Versions of this program held in the CPC repository in Mendeley Data AELR_v1_0; orbifolder; 10.1016/j.cpc.2012.01.026
DOI: 10.6084/m9.figshare.1444312.v1
title: Kulturowe granice fizjologii. Mit troglodyty jako narracja liminalna / Cultural Boundaries of Physiology. The Myth of Troglodytes as Liminal Narration

description: The complex crypto-biological discourse generated around the searches for snow man very often resembles in form mythological narration where not only Homo Sapiens and Homo Trogldytes are compared but also the limits of human knowledge confronted with fundamental body and nature experience are investigated. The questions concerning biological aspects of human nature get transformed within the mythological discourse and<br>become the basis for enquiries about cultural condition of human narration.
DOI: 10.6084/m9.figshare.17142440.v5
title: Data to Influence of Water Depth and Slope on Roughness – Experiments and Roughness Approach for Rain-on-Grid Modeling

description: Experimental data for roughness investigations with different discharges from 5 to 70 l/s and slopes up to 40 %.<br>
DOI: 10.6084/m9.figshare.23544993.v1
title: Contrasting responses to aridity by different-sized decomposers cause similar decomposition rates across a precipitation gradient

description: Data of a litter mass loss experiment across 7 sites and 2 seasons, with three treatments that control organismal access to litter by size (microorganisms only, microbes+mesofauna, microbes+mesofauna+macrofauna): Litter mass loss data. Macro-decomposer assemblage data collected using pitfall trapping.
DOI: 10.17632/2ychd8nnr3
title: Data for: Abundance Measurements of Titan’s Stratospheric HCN, HC3N, C3H4, and CH3CN from ALMA Observations

description: Data files each contain a single abundance profile of HC3N, C3H4, CH3CN, or one of the two HCN isotopes: HC15N or H13CN; the latter two profiles have not been scaled by an isotope ratio value to represent HCN, as in the manuscript. Each file corresponds to either disk-averaged (_da) results, or spatially resolved profiles from North (48 N), Center (21 N), or South (16 S) retrievals (_n, _c, and _s, respectively). Abundance profiles cover the approximate altitudes where ALMA sensitivity allows for accurate retrievals: 50-550 km for HC3N, C3H4, and HCN isotopes, and 150-550 km for CH3CN. File column format is as follows: altitude (km), pressure (mbar), abundance.
DOI: 10.17632/6psgh97tfr
title: When AI Joins the Table: How Large Language Models Transform Negotiations

description: This study investigates how Large Language Models (LLMs) transform business negotiations. Through an experiment with 120 senior executives, we examined negotiations with symmetric and asymmetric AI assistance. When only one side had access to LLMs, they gained substantial advantages-buyers achieved 48.2% better deals and sellers 40.6% better outcomes compared to their counterparts. However, symmetric LLM access yielded even more striking results, with 84.4% higher joint gains compared to non-assisted negotiations. This improvement came with increased information sharing (+28.7%), creative solution development (+58.5%), and value creation (+45.3%). Notably, when both sides used LLMs, they relied less on traditional trustbuilding approaches while maintaining fairness, with minimal gain differences between parties (2.2%). Based on these findings, we introduce 'technological equilibrium' to explain how equal AI access transforms negotiation dynamics. While early adopters showed clear advantages, our results suggest that symmetric access ultimately promotes both value creation and procedural fairness through technological parity, enabling integrative outcomes even when trust is limited.
DOI: 10.17632/kgzzfrm272
title: The γ-secretase substrate proteome and its role in cell signaling regulation. Hou Pengfei et al.

description: This dataset contains the original WB, microscopy images and analysis related files accompanying the paper "The γ-secretase substrate proteome and its role in cell signaling regulation". See the description of the experimental procedures in the Method section of the paper.
DOI: 10.17632/2dxrcvpd8p
title: Data for: PIIGS in the Euro Area. An Empirical DSGE Model.

description: time series of selected macroeconomic variables used as observables in our estimation exercise.
DOI: 10.17632/dz7r84dcbp
title: Dataset of Covid-19 cases in Jakarta, Indonesia

description: This is covid-19 daily cases data with additional information such as climatology, public transport users, congestion, air quality, and movement restriction (MR) from 10 March 2020 until 25 November 2020 in Jakarta, Indonesia. The data is collected from various sources. The data acquisition and preparation procedures are explained in an article named "A Covid-19 Positive Case Prediction and People Movement Restriction Classification".
DOI: 10.17632/vv38xp886m
title: Tree Charcoal Data Afram Plains

description: This is data collected in a ground truth study to estimate the tree cover loss due to charcoal production activities on the Afram plains, a semi-deciduous forest-savannah ecosystem in Ghana. Data was collected across 4 communities (Forifori, Odumasua, Tease and Anlofasso) on the Afram plains. This data provides valuable insights into the impact of charcoal production on tree cover loss in the Afram Plains region. It quantifies the extent of tree removal, charcoal production efficiency, and land area impacted. Furthermore, it highlights the variation in these metrics across different sites and communities, potentially influenced by factors such as site conditions, production practices, and resource availability.
The data was gathered through field surveys and measurements at various sites across the four communities. 
Some notable findings from the data include:
1. The percentage of tree removal for charcoal production varies significantly across different sites, ranging from as low as 0.12 (CharcoalASite 3) to 1.00 (AduanaSite 1, AnlofassoSite 4, ForiforiSite 11, ForiforiSite 15), indicating varying levels of impact on the tree population.
2. The average (median) number of bags of charcoal produced per tree was 0.5, irrespective of the tree species. 
3. The average area of land cleared for charcoal production per bag of charcoal produced is 15.3m2
4. The most abundant tree species used for charcoal production appear to be Anogeissus sp., Pterocarpus sp., and Anwa, which are found across multiple sites and communities.
DOI: 10.17632/hjmfrv6vmg
title: original data of a functional MRI study in transgender individuals

description: original images of the "Brain network interactions in transgender individuals with gender incongruence" manuscript submitted to Neuroimage journal