cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/xybjx945nf
title: Data for: DATASET OF LECTURER PERFORMANCE APPRAISAL

description: The data consist of Demographics, Performance, Satisfaction, Organizational Culture, and Participation of Lecturers in Higher Education in Indonesia based on multirater approach. The raters are lecturers, peers, and students. The data can analyzed to provide information that can be used to make a better decision for managing higher education.
DOI: 10.17632/zbwww3ygwc
title: Groundwater Level Variation Dataset in China's Arid Regions

description: In China's arid regions, the dynamic changes in groundwater levels are influenced by both natural factors (such as precipitation, evaporation, and soil moisture) and anthropogenic factors (such as agricultural irrigation, urban water use, and industrial extraction). As climate change and human activities intensify, fluctuations in groundwater levels are expected to become more pronounced, especially in water-scarce arid areas. This study has compiled a dataset of groundwater level variations from observation wells in China's arid regions, containing measured data from 2005 to 2020. The dataset includes specific information such as observation point names, geographic locations, hydrological geological units, types of groundwater, monitoring depths, average annual burial depths, and average annual fluctuation information. The data collection process involved selecting representative observation wells for long-term monitoring, regularly recording groundwater levels using automated equipment, and analyzing these levels in conjunction with meteorological data, as well as organizing and standardizing the collected data. Researchers and policymakers can utilize this dataset for applications in water resource management, ecological environmental protection, and climate change research. By conducting in-depth analyses and interpretations of the data, they can understand the driving factors behind changes in groundwater levels, providing a scientific basis for the sustainable use of water resources.
DOI: 10.17632/zdczzpkd8z
title: SDN ICMP Flood Dataset

description: The dataset has been created by simulating a ICMP Flood DDOS attack using a Mininet emulator in the SDN Environment. 
The Dataset contains 84 features and 85,062 instances.
DOI: 10.6084/m9.figshare.4596103.v1
title: Datasets for wood modification and environmental impact of wood bibliometric study

description: See .Rmd file for complete information on how to use the data. See publication for source info.<br>These files must be in the same directory as the .Rmd file.
DOI: 10.17632/ynwmjpj82n
title: Fishing Capacity and Economic Profile of Commercial Fishing Vessels in Kuantan, Pahang State, East Coast of Peninsular Malaysia

description: The marine capture fishery in Malaysia contributed significantly to the national economy and inshore fishery is the main contributor of the fish landings. The importance of marine fisheries is not only for the political and social also for the ecological aspect concerning with economy and well-being of the coastal communities. Moreover, the long-term sustainability of marine fisheries calls for the maintaining and important consideration upon it. Due to the complex system of marine and coastal area, the interaction among the fish population, economy and management policy are crucially need to evaluated. 
The main focus of the research is modelling fishing fleet dynamic and fishermen behavior. Therefore, the behavior of fishermen with respect to over-fishing and the impact of current management policy; and simulation the dynamics of fishing fleet using the proposed management policies with the aim of sustainable fishery management practices are the main expected outcomes by the research. 
Therefore, hypotheses could be stated in the study:
H(1): The fishing effort by each vessel and overall fishing fleet, which directly changes with the profit of fishing vessel more fishing fleet will enter the industry with increasing profit.
H(2):  The proper combination of management policies will address the profit maximization and sustainable fishery management in the long run.
Therefore, the research questions include:
-How fishermen behave on short term and long term effort allocation and key fishermen behavior of entry and exit decisions to achieve the desired socioeconomic and biological objectives; and
-How fishermen behave in line with the profit maximization and impact of management policies and what is the proper combination of fishery management policies with the aim of sustainable fisheries management.

-	The data presents the economic profile and performance capacity of commercial fishing vessels. These data are useful to predict the number of catches and provide information about value in economic analyses, to predict the performance and contribution of commercial fishery to the economic development. These data been collected from the trawl and purse seine fishers at the commercial fishing industry at East Coast of Peninsular Malaysia. The data could be used for the economic management of commercial fishing industry with different stakeholders including fisheries department and other institutions.   

-	The data will be highly beneficial for the researcher who focus on the commercial fishing industry studies. 
-	These data can be used for further insights to produce recommended policies in the fishing industries.
-	The data can be used to characterize the need of economic analysis precisely. It helps to identify the commercial fishing vessels cost and expenditure. 
-	These data show the income of crew depends on the type of vessels and gear types and will explains the percentage and share that been split for the income.
DOI: 10.17632/9hpgmspfmk
title: ElasTool v3.0: Efficient computational and visualization toolkit for elastic and mechanical properties of materials

description: Efficient computation and visualization of elastic and mechanical properties are crucial in the selection of materials and the design of new materials. The ElasTool v3.0 toolkit marks a significant advancement in the computational analysis and visualization of elastic and mechanical properties of materials, essential in material selection and design. This enhanced version extends beyond standard calculations like elastic tensor, Young's modulus, bulk modulus, and Poisson's ratio. It introduces capabilities for computing minimum thermal conductivity, linear compressibility, rendering the Christoffel equation, and elastic energy density. Notably, it integrates advanced visualization tools, including compatibility with Plotly and Elate web platforms for interactive web-based property exploration. A key feature of ElasTool v3.0 is the implementation of second-order elastic constants (SOECs) for tubular 2D-based nanostructures and nanotubes. Leveraging high-efficiency strain-matrix sets (OHESS), the toolkit now facilitates efficient computation of elastic constants and mechanical properties at both zero and finite temperatures for 1D, 2D, and 3D dimensions. ElasTool is openly accessible on GitHub: https://github.com/elastool.
DOI: 10.17632/mr87bjfhx2
title: The interfacial reaction between diamond (100) surface and CuNi-based filler alloys containing Cr by first-principles calculations

description: In this work, calculations were performed by the functional principles of density functional theory (DFT). The adsorption and reactions of Cu, Ni, Cr, and C of commonly used filler alloys on the diamond (100) surface were systematically investigated. First, preferential adsorption sites of Cu, Ni, Cr, or C on the diamond (100) surface and their interactions were investigated to reveal the differences in the adsorption capacities and mechanisms of these elements in combination with their electronic structures. Meanwhile, the subsequent interfacial reactions were analyzed based on the adsorption of Cu, Ni, Cr, and C. The results of this work are expected to provide theoretical guidance for the optimization and design of filler alloys, thus improving the performance of brazed diamond tools.
DOI: 10.17632/y3s9w6wcb4
title: Inteligencia Artificial para potencializar los sistemas de gerencia en Servicios de Salud en Panamá

description: Inteligencia Artificial para potencializar los sistemas de gerencia en Servicios de Salud en Panamá
DOI: 10.6084/m9.figshare.14185739.v6
title: Global monthly GPP, ET, Ec, Es and Ei simulated by PML-V2 with AVHRR data at a 0.05 degree resolution over 1982-2014

description: We provide global monthly and annual gross primary production(GPP), evapotranspiration (ET), canopy transpiration (Ec), soil evapiration (Es), rainfall interception loss (Ei) at a 0.05 degree resolution as simulated by PML-V2 forced with GLDAS V2.0 climate forcings, historical monthly CO2, AVHRR GIMMS3g LAI, GLASS V4 albedo and emissivity, MODIS IGBP land-use cover data etc.Please cite references bellow:Zhang, X. Z., Zhang, Y. Q., Ma, N., Kong, D. D., Tian, J., Shao, X. M., Tang, Q. H..(2021). Greening-induced increase in evapotranspiration over Eurasia offset by CO2-induced vegetational stomatal closure. Environmental Research Letters, 16(12), 124008. DOI: 10.1088/1748-9326/ac3532.Zhang, X. Z., Zhang, Y. Q., Tian, J., Ma, N., Wang, Y. P. (2022). CO2 fertilization is spatially distinct from stomatal conductance reduction in controlling ecosystem water-use efficiency increase. Environmental Research Letters. 17(5), 054048. DOI: 10.1088/1748-9326/ac6c9c.Zhang, Xuanze; Zhang, Yongqiang; Kong, Dongdong (2021). Global monthly GPP, ET, Ec, Es and Ei simulated by PML-V2 with AVHRR GIMMS3g LAI at a 0.05 degree resolution over 1982-2014. figshare. Dataset. https://doi.org/10.6084/m9.figshare.14185739.v4
DOI: 10.6084/m9.figshare.21280062.v2
title: American Geophysical Union poster data

description: Full data set used in: <br> Faulkes Z. The “wall of text” visual structure of academic conference posters. <em>Frontiers in Communication</em> <strong>8</strong>: 1063345. https://doi.org/10.3389/fcomm.2023.1063345 <br> Data on posters from American Geophysical Union. https://www.agu.org/Learn-and-Develop/Learn/Student-Competitions/Virtual-Poster-Showcase/Past-showcase-winners <br>
DOI: 10.17632/ckkxx8mdcg
title: Kurdish Dataset for Stance Detection

description: This dataset comprises 2,174 Sorani Kurdish news articles scraped from the Rudaw website between March 2024 and February 2025. The articles span two primary domains—economy and politics—and include metadata such as title, content, publication date, link, accessed date, and category label.

To support stance detection research in a low-resource language, we implemented a multi-stage annotation pipeline:

Target Identification: Articles were first processed using a Python-based system that leveraged a curated lexicon of 2,456 domain-specific terms to detect the main topic (e.g., "currency", "election").

We used a stance lexicon of 4,243 verbs and adjectives to automatically assign a stance label—support, oppose, or neutral—to each article. For ambiguous cases, we applied semantic similarity (via Sentence Transformers) and zero-shot classification as fallback strategies.

Manual Validation: All articles were manually reviewed and refined by four native Sorani Kurdish experts—two specializing in economics and two in political journalism. The whole dataset was checked through group discussions, and the agreement between the annotators (Cohen’s kappa) was 0.90 for economy articles and 0.93 for politics, which shows that the final annotations are reliable.

The final dataset includes fields for article title, content, publication metadata, identified target topic, and stance label. We provide all related code in a separate folder to ensure reproducibility.
DOI: 10.17632/gsffrt9sx2
title: Turbulent structures at the bottom of the Gobi desert boundary layer and their impact on aeolian sand transport and dust emission

description: This dataset was designed to examine the behavior of turbulent flow structures over gobi surfaces and the impact of these structures on the sand transport rate and dust emission flux. Synchronous high-frequency measurements of two time series of 3-D wind speed(1Hz), PM10 concentration(1Hz) and saltating particle count rate (1Hz) over a gobi surface (40.04°N, 94.79°E) in two transport events (10:27 to 14:23 on May 12, 2021, and 14:12 to 16:30 on May 21, 2021) have been presented. Wind velocity was measured by a RM Young 81000 Ultrasonic anemometer, situated at the height of 0.4 m above the gobi surface at a time interval of 1 s, recorded by a Campbell CR 1000 datalogger. The profile of saltating grain number was measured by two piezoelectric impact sensors (H11-LIN, Sensit) at heights of 0.01and 0.05 m above the gobi surface with a measurement frequency of 1 Hz, also recorded by a Campbell CR 1000 datalogger. The PM10 concentration was measured using the U.S. handheld 3016 laser particle counter at heights of 0.05and 0.3 m above the gobi surface. The particle size monitoring range was 0.3~25μm, and the data collecting interval was set to 1s. Aeolian saltation flux profiles over gobi were measured by a sand traps deployed at heights of 0-0.025 m and 0.025-0.05m. Sand transport rate at 1 Hz can be obtained based on high-frequency time series of Sensit particle counts and low-frequency flux measurements of sand traps.
DOI: 10.6084/m9.figshare.28883822.v1
title: BW water and food intake after 2 weeks low calorie diet followed by 3 months refeeding

description: Effect of 3 months refeeding after severe food restriction on body weight gain and food intake.
DOI: 10.17632/7tv6yscmn4
title: Experimental Examination of Audit Reporting Standards Data

description: We conducted an experimental investigation on the impact of a Disclosure requirement (publicly disclosing the auditors actual name) and Sign-Off requirement (requiring auditors to sign-off on the audit report) on auditor misreporting decisions. We used an experimental audit market based on the economic model in Magee and Tseng (1990). Markets were conducted via networked computers utilizing z-tree software (Fischbacher, 2007) and student participants. Two experimental sessions were conducted for each of the four experimental conditions and each session was conducted with two markets operating simultaneously. Consistent with prior research, participants were randomly reassigned to a different market group at the end of each market year (two trading periods) in order to help control reputational concerns among participants, and to remove market group confounds (Calegari, Schatzberg and Sevcik (1998); Schatzberg, Sevcik, Shapiro, Thorne and Wallace (2005); Blay, Gooden, Mellon and Stevens (2019a); Blay, Gooden, Mellon and Stevens (2019b).
All manipulations were administered on a between-subjects basis and all participants maintained their original randomly assigned role throughout the experiment. For a detailed description and discussion of the audit market setting, including equilibrium predictions see Blay et al. (2019b). We used the same experimental parameters as the audit markets described in Blay et al. (2019b), with three notable differences. 
First, we increased the penalty for misreporting from $0.05 to $0.25 in order for the economic penalty for misreporting to be consistent with Blay, Gooden, Mellon and Stevens (2019a). This enables us to better directly compare our results to prior research (Blay et al (2019a) and Schatzberg, Sevcik, Shapiro, Thorne and Wallace (2005)), while also allowing us to understand the interplay between economic penalties and the underlying theoretical mechanisms behind the observed reporting behavior. 
Second, we eliminated the pre-experimental quiz included in the instructions used in Blay et al. (2019b). Instead, we report the results of the Ethics Position Questionnaire (EPQ), Forsyth (1980), which can be used to measure individual differences in moral thought using its idealism and relativism scales.
Lastly, Blay et al. (2019b) presented a 3x1 between-participants experimental design in which disclosure is manipulated at three levels. In particular, Blay et al. (2019b) examined the impact no disclosure, disclosure only, and disclosure with sign-off on auditor misreporting. Instead, we utilized a 2 x 2 between-participants experimental design in which we examined following experimental conditions: No Sign-Off or Disclosure, Sign-Off Only, Disclosure Only, and Sign-Off with Disclosure. We believe that this design choice allows for a more direct comparison between the results of the two studies. In addition to the raw data from the study, the reported Excel file includes a tab with data descriptions.
DOI: 10.17632/hx7wmnfsb3
title: Substance over Style: Calf characteristics drive maternal care in Indo-Pacific bottlenose dolphins

description: Individual variation in behavior is the substrate for selection. In bottlenose dolphins, individuals have been shown to have repeatable behavioral strategies that persist over decades. To what extent might such persistent individual differences impact maternal care (i.e., maternal style), or is care instead determined more by calf characteristics? Based on 40+ years of study of Indo-Pacific bottlenose dolphins (Tursiops aduncus) in Shark Bay, Australia, we investigate patterns of maternal care and its impact on post-weaning survival. Using focal follow data (n=428 follows) of 22 mothers of 68 calves, we examine maternal behavior when calves were &lt;2 years old. Behavioral metrics include infant position, a type of mother-infant contact and ‘carrying’ used as a proxy for direct maternal care, time spent together, and behavior while together. Maternal care metrics were not individually repeatable; rather, calf characteristics such as age and condition were more important in determining the amount of maternal care. Somewhat paradoxically, calves that did not survive to age 4 (average age of weaning in this population) and those who weaned later than average, received more direct maternal care than those who survived, suggesting mothers try to compensate for calf condition. In sum, unlike altricial mammals where mothers have direct control over offspring (by carrying and caching), patterns of maternal care are largely driven by the attributes of the calf in this precocial species.
DOI: 10.17632/tg3gdjsbpz
title: Data set SCAPS 1D: solar cell ITO_CdS_Sb2Se3_Pt

description: Simulation data for the ITO/CdS/Sb₂Se₃/Pt solar cell: optimization of efficiency of the solar cell with the next parameters: Sb₂Se₃ thickness, Na, Nt, Rs, Rsh, and T.
DOI: 10.17632/yzddsc67gy
title: Research Data of "Brief communication: On the environmental impacts of the 2023 floods in Emilia-Romagna (Italy)"

description: The data collect the personally georeferenced information about the environmental impacts of the floods occurred in Emilia Romagna (Italy) in May 2023. The format is a geopackage file with associate style (EPSG:32632).
DOI: 10.6084/m9.figshare.26152837.v2
title: The dominance of naturalized non-native plants over native plants increases with the number of global change factors

description: The file includes the data, code and the report of the paper "The dominance of naturalized non-native plants over native plants increases with the number of global change factors" by Xiong Shi, Duo Chen and Mark van Kleunen.
DOI: 10.11583/dtu.19076756.v1
title: SCADA data from Norre_m2 wind farm

description: This dataset includes SCADA data and mast measurements from the 42 turbines in Norrekaer Enge windfarm. The dataset represents more than 1 year of statistics and encompass both power, nacelle wind speed and yaw position for each wind turbine. Furthermore, speed and wind direction signals at hub height from the 2 masts have been included.<br>Detailed site documentation is available here.<br><br><b>Public data</b><br>Mast and wind farm SCADA data (NetCDF)
DOI: 10.6084/m9.figshare.20381298.v1
title: Sleep and seizures in epilepsy

description: This dataset contains long-term seizure event times and sleep stage data (collected using consumer-grade wearable) for 44 people. Seizure events and sleep stage data is stored in .json files.
DOI: 10.17632/5zp632d7wm
title: Data collected from the Baidu Migration Platform

description: The data come from the Baidu Migration Platform (https://qianxi.baidu.com), a platform for public use and access to big data. The dataset has been processed to remove all direct identifiers (e.g., names, addresses, IP addresses) and indirect identifiers (e.g., specific dates and locations have been aggregated to municipal-level or wider scales). No personal or group-level identities can be inferred from the data, which meets the requirements of the CC BY 4.0 license. This study does not involve human subjects or identifiable data, and all data usage complies with the platform's terms of service and relevant legal regulations.
DOI: 10.17632/nwvyr8knn9
title: Data for: Life-cycle assessment of p-type multi-crystalline back surface field (BSF) solar module in China of 2019

description: Original data that collected from factory to make the model. And original data that calculated by software Simapro.
DOI: 10.17632/pppj6cbtkc
title: BICI-ULL: Bioclimatic indicators dataset for the orographically complex Canary Islands archipelago

description: BICI−ULL (Bioclimatic Indicators in the Canary Islands by the ULL−GOTA) includes 53 biovariables derived from monthly temperature, precipitation, radiation, humidity, and wind speed averages over different periods calculated through dynamic regionalisation models. This project aims to improve our understanding of climate and its impacts on small, isolated regions with diverse ecosystems, providing valuable insights for the scientific community.

The dataset can be found in the ‘Bioclimatic indicators’ folder. It consists of 795 files in NetCDF4 format with a grid cell resolution of 3×3 km, covering the region of the Canary Islands. The files represent 53 bioclimatic indicators calculated in 30-year intervals for the periods: 1980−2009, 2030−2059, and 2070−2099, under the Representative Concentration Pathway (RCP) scenarios RCPs 4.5 and 8.5, for future. The non-hydrostatic WRF model, with boundary conditions from three global models (GFDL−ESM2M, IPSL−CM5A−MR, and MIROC−ESM), was used to perform the simulations. The grid dimensions are (186×77), with a total of 14322 cell points. It covers a longitude range of 18.3◦W to 13.3◦W and a latitude range of 27.5◦N to 29.6◦N, although the biovariables are only computed for land cells. The files comply with the CF conventions for climate and forecast metadata designed to promote the processing and exchange of files created with the netCDF4 Application Programmer Interface. The names associated with each file follow the format: BIOx_model_rcp_yini_yend.nc 

The raw data from which the biovariables are generated are also available in this repository, in the ‘Raw Data’ folder. These include the standard variables: Mean, maximum, and minimum temperature (TG, TX, TN), precipitation (PR), shortwave downwelling flux (SR), relative humidity (RH), and wind speed (WS). Each file contains 12 timesteps, one for each month (January, February, …). The content of the variables is the mean over the 30-year periods. A specific bias adjustment technique known as the Scaled Distribution Mapping (SDM) algorithm, designed to preserve trends, was used (Switanek et al., 2017). File names follow the format: model_yini_yend_rcp_variable.nc

x represents the number of the climatic indicator

model makes reference to the driving Global Circulation Model used for the regionalsation simulations. It can be GFDL, IPSL, or MIROC.

rcp indicates the forcing scenario, RCP 4.5 or RCP 8.5, or it will be defined as ‘HIST’ in the case of the historical period. 

yind and yend represent the years of the period, with ini identifying the first year of the period and end identifying the last year. 

variable refers to the standard variable, which can be TG, TX, TN, PR, SR, RH, WS

The main folders contain, in turn, subfolders corresponding to each driving global model, and to the respective period and scenario.

The definition of the 53 BICI-ULL bioindicators have been also summarised in the BICI-ULL_bioindicators_definitions.pdf file.