cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/78wszhrrtj
title: AEEI Data

description: This dataset underpins the Africa Entrepreneurial Ecosystem Index (AEEI), which benchmarks the strength of national entrepreneurial ecosystems.
It combines seven key ecosystem dimensions: Governance, Culture, Support, Finance, Infrastructure, Market Access, and Human Capital to produce a single composite index and ranking of African countries.

The data come from trusted international and regional sources (such as the World Bank, WIPO, ITU, and UNESCO) and from checked local datasets. All indicators were normalised to a 0–1 scale, where higher numbers mean a stronger entrepreneurial ecosystem. The final AEEI score is the sum of the seven dimension scores, or about seven times their average.
DOI: 10.17632/78wszhrrtj.2
title: AEEI Data

description: This dataset underpins the Africa Entrepreneurial Ecosystem Index (AEEI), which benchmarks the strength of national entrepreneurial ecosystems.
It combines seven key ecosystem dimensions: Governance, Culture, Support, Finance, Infrastructure, Market Access, and Human Capital to produce a single composite index and ranking of African countries.

The data come from trusted international and regional sources (such as the World Bank, WIPO, ITU, and UNESCO) and from checked local datasets. All indicators were normalised to a 0–1 scale, where higher numbers mean a stronger entrepreneurial ecosystem. The final AEEI score is the sum of the seven dimension scores, or about seven times their average.
DOI: 10.17632/3s6nbtx52p.2
title: Supplemental Tables for HMDP Hotspot Paper

description: These are supplemental tables for a manuscript on using the Hybrid Mouse Diversity Panel's genomic, transcriptomic, and epigenomic layers to better understand the progression of heart failure
DOI: 10.15468/q7as6e
title: Morphological and multi-gene phylogenetic analyses of two new species of Phyllosticta (Phyllostictaceae, Botryosphaeriales) from Southwestern China

description: This dataset contains the digitized treatments in Plazi based on the original journal article Gong, Cui-Ling, Wu, Hai-Xia, Li, Jin-Chen, Song, Jia-Yu (2024): Morphological and multi-gene phylogenetic analyses of two new species of Phyllosticta (Phyllostictaceae, Botryosphaeriales) from Southwestern China. Phytotaxa 653 (1): 20-36, DOI: 10.11646/phytotaxa.653.1.2, URL: http://dx.doi.org/10.11646/phytotaxa.653.1.2AbstractPhyllosticta is an important genus of pathogenic fungi with worldwide distribution. Phyllosticta species also occur as endophytes and saprobes on various plant hosts. Multi-gene phylogenetic analysis based on sequence data of ITS, LSU, TEF1 and morphological evidence supported the introduction of two new species, which were isolated from dead leaves in China. Phylogenetically, the new species, P. savannaensis and P. ovalina, formed two well-separated lineages in the Phyllosticta capitalensis and Phyllosticta cruenta species complexes, respectively. P. savannaensis is closely related to P. capitalensis, but formed a separate branch (BS= 100%/ BYPP = 1.0), while P. ovalina and P. hubeiensis clustered together with high support (BS= 100%/ BYPP = 1.0). Both new species exhibited the typical characteristics of the genus Phyllosticta but could be distinguished from closely related species. P. savannaensis can be differentiated from the sexual stage of other Phyllosticta species by the length to width ratio of the ascospores and shape of appendages. The ascospores of P. ovalina are oval, which distinguish it from other species of Phyllosticta.Key word s: 2 new species, microfungi, saprobe, sexual stage, taxonomy
DOI: 10.17632/hhh274hwf7
title: Linking functional microbial groups to soil carbon cycle multifunctionality in degraded karst forests

description: The collected research data include indicators of soil microbial communities involved in the C cycle, environmental indicators and SCCM index. The microbial indicators consist of species diversity, relative abundance, functional strength, and functional diversity, considering overall, rare, common, and abundant taxa separately. Based on our research hypotheses: i) soil C cycle multifunctionality will increase during the restoration process; ii) the shifts in microbial communities involved in soil C cycling will differ among abundant, common, and rare taxa across the restoration stages; and iii) the contributions of these microbial taxa to soil C cycle multifunctionality will also differ throughout the restoration chronosequence. We conducted a space-for-time sequential study across multiple restoration stages. For each stage, ten fixed plots were randomly set up, with dimensions of SB (shrubland) in both SG (secondary-growth forest) and OG (old-growth forest) systems. The results showed that the SCCM index increased significantly throughout restoration, with microbial functional traits exerting more influence than microbial diversity. Within the microbial community, functional reorganization involves a shift in functional dominance from rare to non-rare (common and abundant) taxa, indicating improved functional stability. Specifically, common taxa were the primary drivers of the enhanced SCCM, with increases in their functional diversity and strength playing a pivotal role. The concurrent recovery of plant diversity and soil properties facilitated these microbial shifts. In summary, natural restoration promotes SCCM mainly by augmenting microbial functional performance, particularly that of common taxa, a subgroup whose role in supporting soil ecological functions has historically been underestimated.
DOI: 10.17632/hhh274hwf7.3
title: Linking functional microbial groups to soil carbon cycle multifunctionality in degraded karst forests

description: The collected research data include indicators of soil microbial communities involved in the C cycle, environmental indicators and SCCM index. The microbial indicators consist of species diversity, relative abundance, functional strength, and functional diversity, considering overall, rare, common, and abundant taxa separately. Based on our research hypotheses: i) soil C cycle multifunctionality will increase during the restoration process; ii) the shifts in microbial communities involved in soil C cycling will differ among abundant, common, and rare taxa across the restoration stages; and iii) the contributions of these microbial taxa to soil C cycle multifunctionality will also differ throughout the restoration chronosequence. We conducted a space-for-time sequential study across multiple restoration stages. For each stage, ten fixed plots were randomly set up, with dimensions of SB (shrubland) in both SG (secondary-growth forest) and OG (old-growth forest) systems. The results showed that the SCCM index increased significantly throughout restoration, with microbial functional traits exerting more influence than microbial diversity. Within the microbial community, functional reorganization involves a shift in functional dominance from rare to non-rare (common and abundant) taxa, indicating improved functional stability. Specifically, common taxa were the primary drivers of the enhanced SCCM, with increases in their functional diversity and strength playing a pivotal role. The concurrent recovery of plant diversity and soil properties facilitated these microbial shifts. In summary, natural restoration promotes SCCM mainly by augmenting microbial functional performance, particularly that of common taxa, a subgroup whose role in supporting soil ecological functions has historically been underestimated.
DOI: 10.17632/7rydn8vpnd
title: M_Robot

description: M Robot data set used subjects for publication:
DOI: 10.17632/7rydn8vpnd.1
title: M_Robot

description: M Robot data set used subjects for publication:
DOI: 10.15468/wsmsp2
title: New species of Illiesonemoura and Nemoura (Plecoptera: Nemouridae) from Yunnan Province of southern China

description: This dataset contains the digitized treatments in Plazi based on the original journal article Zhao, Meng-Yuan, Rehman, Abdur, Du, Yu-Zhou (2023): New species of Illiesonemoura and Nemoura (Plecoptera: Nemouridae) from Yunnan Province of southern China. Zootaxa 5249 (4): 477-484, DOI: 10.11646/zootaxa.5249.4.5, URL: http://dx.doi.org/10.11646/zootaxa.5249.4.5AbstractTwo new species of Nemouridae, Illiesonemoura qianae Du, Zhao, & Rehman sp. nov. and Nemoura longistyla Zhao, Rehman & Du sp. nov., are described and illustrated from Yunnan Province of southern China. The morphological characteristics of the new species are compared to related taxa and new images are also provided.
DOI: 10.17632/c5c4pw2fkg
title: Table 1. Baseline Characteristics of Syphilis and Control Cohorts After Propensity Score Matching

description: Baseline characteristics of patients with early, late, and total syphilis and matched control cohorts following propensity score matching. Demographic and clinical variables such as age, sex, race or ethnicity, immunosuppressant use, and history of irradiation were similar across groups.
DOI: 10.17632/c5c4pw2fkg.1
title: Table 1. Baseline Characteristics of Syphilis and Control Cohorts After Propensity Score Matching

description: Baseline characteristics of patients with early, late, and total syphilis and matched control cohorts following propensity score matching. Demographic and clinical variables such as age, sex, race or ethnicity, immunosuppressant use, and history of irradiation were similar across groups.
DOI: 10.17632/mtmch4kkh8
title: Comparing Dermatologist and Artificial Intelligence Heat Maps - Supplementary

description: This dataset contains supplementary figures and tables supporting the comparison of dermatologist eye-tracking gaze heat maps with DEXI-generated heat maps in dermoscopic image analysis, including pixel-wise correlation analyses and subgroup results.
DOI: 10.17632/mtmch4kkh8.1
title: Comparing Dermatologist and Artificial Intelligence Heat Maps - Supplementary

description: This dataset contains supplementary figures and tables supporting the comparison of dermatologist eye-tracking gaze heat maps with DEXI-generated heat maps in dermoscopic image analysis, including pixel-wise correlation analyses and subgroup results.
DOI: 10.17632/m3d3vmzwtf
title: Design of a Solar Cell Comprising Multiple Nanoheterojunctions: Theoretical Insights Based on Data Analysis

description: Reducing the overall cost of silicon solar cells while maintaining performance is crucial for commercialization. This study investigates a non-conventional approach to solar cell design that integrates non-crystalline silicon with nanosized crystalline lead chalcogenides (Si:PbX) (X = S, Se, Te) to lower costs and enhance performance through the creation of multiple nanoheterojunction structures. Utilizing the principle of self-organization, the theoretical model of the heterojunction supports the feasibility of growing PbX nanocrystals as coherent nanostructures on silicon surfaces. The study systematically evaluates the influence of material properties on solar cell efficiency, particularly focusing on the formation of the contact field and its effects on the device’s electrical performance. Si:PbX demonstrates significant multi-exciton generation and carrier multiplication effects, which present substantial potential for improving solar cell efficiency while maintaining comparable contact field parameters to traditional silicon solar cells. These findings may endow the rational design of solar cells with multiple nanoheterojunction Si:PbX for practical applications.
DOI: 10.17632/m3d3vmzwtf.1
title: Design of a Solar Cell Comprising Multiple Nanoheterojunctions: Theoretical Insights Based on Data Analysis

description: Reducing the overall cost of silicon solar cells while maintaining performance is crucial for commercialization. This study investigates a non-conventional approach to solar cell design that integrates non-crystalline silicon with nanosized crystalline lead chalcogenides (Si:PbX) (X = S, Se, Te) to lower costs and enhance performance through the creation of multiple nanoheterojunction structures. Utilizing the principle of self-organization, the theoretical model of the heterojunction supports the feasibility of growing PbX nanocrystals as coherent nanostructures on silicon surfaces. The study systematically evaluates the influence of material properties on solar cell efficiency, particularly focusing on the formation of the contact field and its effects on the device’s electrical performance. Si:PbX demonstrates significant multi-exciton generation and carrier multiplication effects, which present substantial potential for improving solar cell efficiency while maintaining comparable contact field parameters to traditional silicon solar cells. These findings may endow the rational design of solar cells with multiple nanoheterojunction Si:PbX for practical applications.
DOI: 10.17632/k6zgjbft9d
title: Scalp Psoriasis Supplemental Table

description: Summary of Scalp Specific Outcomes of Systemic Therapies for Psoriasis
DOI: 10.17632/k6zgjbft9d.1
title: Scalp Psoriasis Supplemental Table

description: Summary of Scalp Specific Outcomes of Systemic Therapies for Psoriasis
DOI: 10.17632/mt6jfkxprj.2
title: BPS: A Demographically Focused Dataset of Handwritten Bangla Primary Script for Early Writer Recognition

description: Bangla handwritten character recognition is challenging due to its large character set, compound forms, and style variations, and existing datasets rarely capture the handwriting of primary-level learners. To fill this gap, the BPS (Bangla Primary Script) dataset was created by collecting 24,420 grayscale images of 50 basic characters (11 vowels, 39 consonants) and 10 digits from 407 students across multiple districts in Bangladesh. The images were normalized to 32×32 pixels, organized into 60 balanced classes, and split into 60% training, 20% validation, and 20% test sets, providing a demographically representative resource for OCR and deep learning applications focused on early learners.
DOI: 10.17632/s9hpmhrpwp.2
title: Joint Production Simulation Cu Co - Fikru, Ohler, Romani

description: This R program simulates the joint production of copper and cobalt, with random parameters that define the marginal cost of extraction, environmental cost, and technical efficiency. Output is provided as summary statistics, and graphical visualizations
DOI: 10.17632/w77hcmfdjm
title: Research Data

description: Research Data
DOI: 10.17632/w77hcmfdjm.1
title: Research Data

description: Research Data
DOI: 10.17632/ppgsfcj4wb.1
title: Soil functional traits, nutrient dynamics, and enzyme activities across land-use systems during pre- and post-monsoon seasons in Parvati Valley, Western Himalaya (2022–2024)

description: In the Parvati Valley, Himachal Pradesh, Western Himalaya, India, this dataset offers a thorough, multi-year assessment of soil functional characteristics, nutrient dynamics, and enzymatic activity across several land-use systems. During the pre-monsoon and post-monsoon seasons of three consecutive years (2022–2024), soil samples were taken from nine fixed sampling sites (S1–S9) situated along an elevation gradient. Key soil physicochemical characteristics (pH, electrical conductivity, moisture content, and organic carbon), nutrient parameters (total and available nitrogen, phosphorus, and potassium), and soil enzyme activities (dehydrogenase, urease, acid phosphatase, and alkaline phosphatase) are included in the dataset. Together, these characteristics reflect soil fertility and biological functioning in Himalayan agro-ecosystems.
The statistical significance between locations, seasons, land-use types, and elevations is indicated by superscript letters derived from post-hoc comparisons. All data are presented as mean values ± standard error (SE). The primary impacts of land use, season, elevation, and site, as well as their two- and three-way interactions, were evaluated independently for each study year using factorial analysis of variance (ANOVA). For physicochemical and nutritional evaluations, standard soil sampling and analytical procedures were used, and established colorimetric and incubation-based techniques were used to measure enzyme activity. 
In the context of monsoon-driven environmental variability in the Western Himalaya, this dataset has significant potential for reuse in soil health assessment, land-use change studies, climate-sensitive soil research, and comparative analyses of nutrient cycling and microbial functioning in mountain ecosystems.
DOI: 10.15468/dl.2s4s8t
title: Occurrence Download

description: A dataset containing 194 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Desmognathus abditus"
 ]
}

 The dataset includes 194 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0064968-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/6vfv46jxwx
title: Comentarios de prueba PERSEUS

description: El archivo contiene 30 comentarios para probar la funcionalidad relacionada a la elicitación de requisitos de capacidad de interacción mediante un archivo en csv.
DOI: 10.17632/6vfv46jxwx.1
title: Comentarios de prueba PERSEUS

description: El archivo contiene 30 comentarios para probar la funcionalidad relacionada a la elicitación de requisitos de capacidad de interacción mediante un archivo en csv.
DOI: 10.17632/wjbm2gy64r
title: Supporting data for Qian et al 2025 Evolutionarily convergent mechanism of formin regulation coordinates actin polymerization in apicomplexan parasites

description: Apicomplexan parasites rely on actin-based motility for host cell invasion and for their dissemination. Although previous studies implicate formin 1 (FRM1) in governing this process in Toxoplasma, the mechanisms that position it at the cell apex and regulate its activity during the transition from intracellular replication to active motility remain unclear. Here, we demonstrate that FRM1 is complexed with a protein methyl transferase that stabilizes it from degradation and positions it at the cell apex. Moreover, we identify a conserved intramolecular interaction within FRM1 that serves as a critical regulatory switch that is functionally conserved in Plasmodium and other apicomplexan parasites. Using structural modeling combined with biochemical assays, we define two regulatory elements located upstream of the FH2 domain that mediate autoinhibition. Repositioning these elements by activation of an intramolecular switch relieves autoinhibition and activates actin polymerization by the FH2 domain. Collectively, these findings elucidate how precise regulation of FRM1 coordinates actin polymerization, parasite motility and host cell invasion.

Source files for figures associated with linked publication below. Additional files are found on the publisher's website as supplemental data.
DOI: 10.17632/wjbm2gy64r.1
title: Supporting data for Qian et al 2025 Evolutionarily convergent mechanism of formin regulation coordinates actin polymerization in apicomplexan parasites

description: Apicomplexan parasites rely on actin-based motility for host cell invasion and for their dissemination. Although previous studies implicate formin 1 (FRM1) in governing this process in Toxoplasma, the mechanisms that position it at the cell apex and regulate its activity during the transition from intracellular replication to active motility remain unclear. Here, we demonstrate that FRM1 is complexed with a protein methyl transferase that stabilizes it from degradation and positions it at the cell apex. Moreover, we identify a conserved intramolecular interaction within FRM1 that serves as a critical regulatory switch that is functionally conserved in Plasmodium and other apicomplexan parasites. Using structural modeling combined with biochemical assays, we define two regulatory elements located upstream of the FH2 domain that mediate autoinhibition. Repositioning these elements by activation of an intramolecular switch relieves autoinhibition and activates actin polymerization by the FH2 domain. Collectively, these findings elucidate how precise regulation of FRM1 coordinates actin polymerization, parasite motility and host cell invasion.

Source files for figures associated with linked publication below. Additional files are found on the publisher's website as supplemental data.
DOI: 10.17632/xc45t9tp96
title: Benign and Malicious Domains with Lexical and Active Features for Machine Learning-Based Detection

description: Dataset Composition:
Examples: 200,000
Benign: 100,000
Malicious: 100,000
Features: 28

Dataset composed of stratified random samples of benign domains derived from the Majestic Million list and malicious domains obtained from the Hagezi TIF, both collected in the period from 08/15/2025 to 09/15/2025.

This dataset was conceived during research work for machine learning-based detection and classification of malicious domains, combining morphological analysis and active DNS collection techniques. DNS enrichment was performed through queries to a recursive server configured in a controlled laboratory environment, enabling large-scale bulk domain resolution.

The extracted features are organized into five major categories:

Lexical Features (11 features): Extracted directly from domain name analysis:
 - domain: Domain name string;
 - length: Character length of domain name;
 - entropy: Shannon entropy of the domain name;
 - dash_count: Number of dashes; 
 - dot_count: Number of dots/separators; 
 - vowel_count: Number of vowels;
 - number_count: Number of digits;
 - consonant_count: Number of consonants;
 - vowel_consec: Consecutive vowels count; 
 - number_consec: Consecutive numbers count;
 - consonant_consec: Consecutive consonants count;

DNS Records Features (5 features): Information from active DNS queries:
 - a_count: Address (A) records count;
 - aaaa_count: Quad-A (AAAA) records count;
 - ns_count: Name Server (NS) records count;
 - mx_count: Mail Exchange (MX) records count;
 - cname_count: Canonical Name (CNAME) records count;

SOA (Start of Authority) Features (5 features): DNS SOA record parameters:
 - soa_retry: Retry parameter;
 - soa_refresh: Refresh parameter; 
 - soa_minimum: Minimum parameter;
 - soa_expire_length: Expiration time length;
 - soa_serial_length: Serial number length;

TTL (Time-to-Live) Based Features (4 features): average and standard deviation for A, MX, CNAME and AAAA records:
 - ttl_a_cname_avg: Average TTL across A and CNAME records;
 - ttl_a_cname_std: Standard deviation of TTL across A and CNAME records;
 - ttl_mx_avg: Average TTL for MX records;
 - ttl_aaaa_avg: Average TTL for AAAA records;

Geolocation and Network Features (2 features): IP-based analysis
 - num_ips: Number of IP addresses (IPv4 and IPv6) associated with domain;
 - num_countries: Geographic diversity (number of countries) associated with domain;

Classification Target (1 feature):
 - malicious: Binary label (0 = benign, 1 = malicious)

The dataset provides a robust resource for training and evaluating machine learning models for binary domain classification (benign vs malicious). It is particularly suited for deep learning architectures, ensemble methods, and traditional supervised learning algorithms.