cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.18112972
title: Empirical low-metallicity pre-main-sequence optical spectral templates derived from VLT/MUSE observations

description: We present a set of ten empirical optical spectral templates for low-metallicity (Z ≈ 0.2 Z⊙) pre-main-sequence stars, constructed from VLT/MUSE integral-field spectroscopic observations of members of the Galactic cluster Dolidze 25.

The templates span effective temperatures from 3290 to 4170 K and are flux calibrated, extinction corrected using the Gordon et al. (2023) extinction law with object-specific A_V values.

These templates are intended for spectral classification, stellar parameter estimation, and accretion studies in metal-poor star-forming environments.
DOI: 10.5281/zenodo.18112971
title: Empirical low-metallicity pre-main-sequence optical spectral templates derived from VLT/MUSE observations

description: We present a set of ten empirical optical spectral templates for low-metallicity (Z ≈ 0.2 Z⊙) pre-main-sequence stars, constructed from VLT/MUSE integral-field spectroscopic observations of members of the Galactic cluster Dolidze 25.

The templates span effective temperatures from 3290 to 4170 K and are flux calibrated, extinction corrected using the Gordon et al. (2023) extinction law with object-specific A_V values.

These templates are intended for spectral classification, stellar parameter estimation, and accretion studies in metal-poor star-forming environments.
DOI: 10.5281/zenodo.18112106
title: Federated Logistics Operations Dataset (FLOD)

description: The Federated Logistics Operations Dataset (FLOD) is a large-scale real-world dataset designed to support research on distributed logistics optimization, predictive modeling, and industrial Internet of Things (IIoT) analytics. The dataset consists of 253,020 operational records collected from geographically distributed logistics service providers operating across multiple urban and industrial regions. Each record represents a single logistics operation event, capturing a comprehensive snapshot of routing behavior, vehicle characteristics, energy usage, environmental conditions, and operational context.

The data were aggregated from multiple decentralized logistics management systems, warehouse monitoring platforms, fleet telemetry sources, and environmental sensing infrastructures deployed at logistics hubs and transportation corridors. To reflect realistic industrial settings, the dataset preserves inherent heterogeneity and non-IID characteristics arising from regional variations, operational policies, fleet composition, and workload intensity across participating entities. No raw identifiers or sensitive business information are included, ensuring compatibility with privacy-preserving and federated learning research.

FLOD contains 128 structured features spanning operational metrics (e.g., distance traveled, payload, idle time, stop frequency), fleet and energy indicators (e.g., vehicle type, fuel or energy consumption, battery health), routing and congestion factors, and environmental conditions such as weather severity and carbon intensity. Temporal context is provided through event indices, operational hours, and weekly cycles without exposing precise timestamps. The dataset further includes two continuous regression targets: the Sustainable Logistics Efficiency Index (SLEI), which quantifies overall operational efficiency, and the Carbon-Adjusted Delivery Cost (CADC), which reflects cost behavior adjusted for energy usage and carbon impact.

The dataset is suitable for regression analysis, federated and decentralized learning, robustness evaluation under operational disturbances, and benchmarking of advanced machine learning models for intelligent logistics and IIoT systems.
DOI: 10.5281/zenodo.18112105
title: Federated Logistics Operations Dataset (FLOD)

description: The Federated Logistics Operations Dataset (FLOD) is a large-scale real-world dataset designed to support research on distributed logistics optimization, predictive modeling, and industrial Internet of Things (IIoT) analytics. The dataset consists of 253,020 operational records collected from geographically distributed logistics service providers operating across multiple urban and industrial regions. Each record represents a single logistics operation event, capturing a comprehensive snapshot of routing behavior, vehicle characteristics, energy usage, environmental conditions, and operational context.

The data were aggregated from multiple decentralized logistics management systems, warehouse monitoring platforms, fleet telemetry sources, and environmental sensing infrastructures deployed at logistics hubs and transportation corridors. To reflect realistic industrial settings, the dataset preserves inherent heterogeneity and non-IID characteristics arising from regional variations, operational policies, fleet composition, and workload intensity across participating entities. No raw identifiers or sensitive business information are included, ensuring compatibility with privacy-preserving and federated learning research.

FLOD contains 128 structured features spanning operational metrics (e.g., distance traveled, payload, idle time, stop frequency), fleet and energy indicators (e.g., vehicle type, fuel or energy consumption, battery health), routing and congestion factors, and environmental conditions such as weather severity and carbon intensity. Temporal context is provided through event indices, operational hours, and weekly cycles without exposing precise timestamps. The dataset further includes two continuous regression targets: the Sustainable Logistics Efficiency Index (SLEI), which quantifies overall operational efficiency, and the Carbon-Adjusted Delivery Cost (CADC), which reflects cost behavior adjusted for energy usage and carbon impact.

The dataset is suitable for regression analysis, federated and decentralized learning, robustness evaluation under operational disturbances, and benchmarking of advanced machine learning models for intelligent logistics and IIoT systems.
DOI: 10.34740/kaggle/dsv/14359716
title: Peer-to-Peer Boliviano (BOB) Exchange Data
DOI: 10.17605/osf.io/jakt3
title: Rhizomatic Entanglements- Art+Science Root Excavations Toward Reparative Joshua tree Conservation

description: Yucca brevifolia (Joshua tree) is an iconic species of the Mojave Desert, recently granted legal protection under the California Western Joshua Tree Conservation Act, and the first in the state to be safeguarded primarily due to climate-related threats. While this legislation marks a critical step in conservation, existing regulations limit development within 10 feet of each tree, despite limited empirical understanding of Joshua tree root extent or its co-evolved pollinators. This study integrates quantitative field science, ecological physiology, and transdisciplinary art-based methods to investigate the root systems of mature Joshua trees. Using air excavation, root tracing, physiological measurements (photosynthesis and water potential), and artistic interventions, we document extensive lateral root spread, up to 14 meters long, and consistently shallow rooting depths across sampled individuals. These findings reveal that current regulatory setbacks dramatically underestimate the spatial footprint of Joshua tree root zones, exposing root systems to potential harm from nearby construction or land alteration. Additionally, we recovered and dissected four suspected Tegeticula moth pupal exoskeletons—the obligate pollinators of Joshua trees—from the soil. If verified through pending genetic analysis, these will constitute the first confirmed field observations of yucca moth pupae, underscoring the critical but overlooked ecological importance of belowground microhabitats in conservation planning. This project incorporates community involvement through ritual and art which, informed by feminist science, ecological aesthetics, queer ecologies, and Indigenous knowledge systems, challenges extractive scientific practices by embedding care, community ritual, and artistic inquiry into ecological research. We recommend that regulatory buffer zones be extended and redefined based on evidence of root architecture and multispecies dependencies. Protection of Joshua trees must account for both morphology and entangled life above and belowground. This work advocates for a conservation science that is both rigorous and reparative, capable of responding to the ecological urgency of climate change while engaging with the epistemological legacies of colonial land management.
DOI: 10.5281/zenodo.18112891
title: Deuteron magnetic structure revisited: Insights from Patterson function analysis

description: Patterson magnetization density of the deuteron is presented.
DOI: 10.5281/zenodo.18112890
title: Deuteron magnetic structure revisited: Insights from Patterson function analysis

description: Patterson magnetization density of the deuteron is presented.
DOI: 10.17605/osf.io/uz9x5
title: Recombinative Reading and cross-modal transfer in the Braille Alphabet

description: we assessed whether establishing the minimal relations between syllables in latin alphabet and visual braille alphabet could lead to the emergence of recombinative reading involving untrained verbal forms across the two symbolic systems. Seven adults participated, all proficient readers of the latin alphabet but with no prior experience with Braille. Using three sets of five syllables, we taught participants to select visual Braille syllables (D) in the presence of printed latin syllables (C), in a matching to the sample procedure. Following training, we tested for the emergence of recombinative relations between new latin and braille syllable combinations (C’-D’) and for cross-modal transfer to tactile Braille (C-E). After completing all three syllable sets, participants were tested for textual Braille reading (D’‘-B’‘) and braille reading with comprehension (D’‘-A’‘). Across participants, training 15 syllabic relations led to the emergence of 72 new conditional relations: 60 reflecting novel recombinations of trained syllables and 12 reflecting the integration of braille words with their corresponding sounds and images. These results suggest the formation of functional stimulus classes that span visual, tactile, and verbal modalities, highlighting the role of recombinative processes in the acquisition of reading repertoires across different alphabets.
DOI: 10.5281/zenodo.18113024
title: EH-ZigBeeNet Dataset for Machine and Deep Learning

description: The EH-ZigBeeNet Dataset for Machine and Deep Learning is a curated and preprocessed version of the original EH-ZigBeeNet IoT dataset, which is publicly available on Zenodo (record ID: 18094281) [available at https://zenodo.org/records/18094281]. This dataset has been specifically prepared to facilitate the development, training, and evaluation of machine learning and deep learning models for intelligent routing at the network layer in energy-harvesting IoT environments.

The original dataset was collected from an energy-harvesting ZigBee-based mesh IoT network, where sensor nodes operate under dynamic energy constraints and communicate with a central coordinator. To improve usability for data-driven modeling, all individual data files from the original repository have been merged into a single consolidated dataset, ensuring consistency and ease of access for learning-based approaches.

The final dataset consists of 51,336 rows and 35 feature columns, capturing network-level, link-quality, and energy-related parameters relevant to routing decision-making. These features enable the modeling of node behavior, network dynamics, and energy-aware communication patterns under realistic operating conditions.

By providing a machine-learning-ready representation of EH-ZigBeeNet, this dataset supports reproducible research and accelerates the development of intelligent, energy-efficient routing protocols for next-generation IoT networks.
DOI: 10.5281/zenodo.18113025
title: EH-ZigBeeNet Dataset for Machine and Deep Learning

description: The EH-ZigBeeNet Dataset for Machine and Deep Learning is a curated and preprocessed version of the original EH-ZigBeeNet IoT dataset, which is publicly available on Zenodo (record ID: 18094281) [available at https://zenodo.org/records/18094281]. This dataset has been specifically prepared to facilitate the development, training, and evaluation of machine learning and deep learning models for intelligent routing at the network layer in energy-harvesting IoT environments.

The original dataset was collected from an energy-harvesting ZigBee-based mesh IoT network, where sensor nodes operate under dynamic energy constraints and communicate with a central coordinator. To improve usability for data-driven modeling, all individual data files from the original repository have been merged into a single consolidated dataset, ensuring consistency and ease of access for learning-based approaches.

The final dataset consists of 51,336 rows and 35 feature columns, capturing network-level, link-quality, and energy-related parameters relevant to routing decision-making. These features enable the modeling of node behavior, network dynamics, and energy-aware communication patterns under realistic operating conditions.

By providing a machine-learning-ready representation of EH-ZigBeeNet, this dataset supports reproducible research and accelerates the development of intelligent, energy-efficient routing protocols for next-generation IoT networks.
DOI: 10.6084/m9.figshare.30983485.v1
title: The title of the study, as stated at the beginning of the document, is:

description: Abstract Background: Ankle proprioceptive impairment is a key predictor of persistent balance and gait deficits following stroke, with strong cross-sectional associations particularly to inversion proprioception. However, causality, longitudinal progression, and efficacy in moderate-to-severe or non-ambulatory chronic cases remain unestablished. Objective: This multicenter randomized controlled trial aimed to evaluate the causal effects of targeted ankle proprioceptive training on balance, gait, and functional mobility in chronic stroke survivors across severity levels, including long-term retention and proprioceptive trajectories across stroke stages. Methods: 140 chronic stroke participants (mean age 58.4 ± 11.2 years; 18–72 months post-stroke) were randomized to 12 weeks of targeted proprioceptive training (n=70; robotic-assisted discrimination plus weight-bearing tasks emphasizing inversion) or standard rehabilitation (n=70). Primary outcome: weight-bearing ankle proprioception (Active Movement Extent Discrimination Apparatus, AMEDA). Secondary outcomes: Berg Balance Scale (BBS), Timed Up and Go (TUG), 10-meter walk test, Fugl-Meyer Lower Extremity, and Functional Ambulation Category. Assessments occurred at baseline, post-intervention, and 6-month follow-up. A longitudinal subsample (n=42) tracked proprioceptive changes from acute to chronic phases. Results: The intervention yielded significant, clinically meaningful improvements in inversion proprioception (affected side Δ=0.21 AUC), balance (BBS +12.4 points), gait speed (+0.32 m/s), and mobility (all p&lt;0.001), sustained at 6 months. Benefits extended to severe/non-ambulatory subgroups. Mediation analysis revealed 72% of functional gains were mediated by inversion proprioception improvements. Longitudinal data showed progressive bilateral decline, steepest in inversion during subacute phase. Conclusion: Targeted ankle proprioceptive training causally enhances functional recovery in chronic stroke across severity spectra, with durable effects. Routine integration into clinical practice is supported to address sensory deficits and optimize outcomes. Keywords: stroke rehabilitation, ankle proprioception, inversion, causality, balance, gait, randomized controlled trial
DOI: 10.15468/dl.hbepgd
title: Occurrence Download

description: A dataset containing 3697354892 species occurrences available in GBIF matching the query:
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 The dataset includes 3697354892 records from 88048 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0070186-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/c6dyva
title: A third species of the Trisinus cavernosus group (Coleoptera: Staphylinidae: Pselaphinae)

description: This dataset contains the digitized treatments in Plazi based on the original journal article Ding, Mei-Lin, Ming, Liang, Yin, Zi-Wei (2025): A third species of the Trisinus cavernosus group (Coleoptera: Staphylinidae: Pselaphinae). Zootaxa 5632 (2): 395-400, DOI: 10.11646/zootaxa.5632.2.12, URL: https://doi.org/10.11646/zootaxa.5632.2.12AbstractTrisinus tangliangi Ding, Ming & Yin, sp. nov. is described from Shenzhen, South China, which represents a third member of the T. cavernosus Ding, Niu & Yin species group. The new species shares the characteristic male cephalic excavation and aedeagal structures typical of the group, and can be readily distinguished from both congeners by the significantly more laterally dilated head and pronotum.
DOI: 10.15468/ydfrrr
title: Phylogeny and taxonomy of Ceriporiopsis (Polyporales) with descriptions of two new species from southern China

description: This dataset contains the digitized treatments in Plazi based on the original journal article Zhao, Chang-Lin, Cui, Bao-Kai (2014): Phylogeny and taxonomy of Ceriporiopsis (Polyporales) with descriptions of two new species from southern China. Phytotaxa 164 (1): 17-28, DOI: 10.11646/phytotaxa.164.1.2, URL: http://dx.doi.org/10.11646/phytotaxa.164.1.2AbstractPhylogenies of Ceriporiopsis and related genera were studied using DNA sequences from the ITS+28S nuclear ribosomal RNA gene regions. Two specie s, Ceriporiopsis alboaurantia and C. semisupina, are described as new to science. Ceriporiopsis alboaurantia is characterized by annual growth habit, resupinate basidiocarps with white pore surface when fresh, turning to apricot-orange to dark orange upon drying, monomitic hyphal system with clamped generative hyphae encrusted with pale yellow crystals, ellipsoid and thin-walled basidiospores (4–5 × 3–3.3 µm), and plenty of pale-yellow to pale-orange oily substances in subiculum and trama. Ceriporiopsis semisupina is distinguished by annual, effused-reflexed basidiocarps with greyish brown to reddish brown pore surface, monomitic hyphal system with clamped generative hyphae bearing crystalline incrustation, long-clavate basidia, ellipsoid and thin-walled basidiospores (4–4.5 × 3–3.3 µm). Like previous study, the phylogenetic analysis presented here also showed that Ceriporiopsis is not monophyletic and the sampled species were grouped in four clades, including phlebia clade, residual polyporoid clade, tyromyces clade and gelatoporia clade.
DOI: 10.15468/meb95n
title: The third extinct representative of the genus Europs Wollaston, 1854 (Coleoptera: Nitiduloidea: Monotomidae) in Baltic amber

description: This dataset contains the digitized treatments in Plazi based on the original journal article Alekseev, Vitalii, Bukejs, Andris (2025): The third extinct representative of the genus Europs Wollaston, 1854 (Coleoptera: Nitiduloidea: Monotomidae) in Baltic amber. Zootaxa 5620 (4): 575-581, DOI: 10.11646/zootaxa.5620.4.4, URL: https://doi.org/10.11646/zootaxa.5620.4.4AbstractThe third fossil minute-clubbed beetle of the extant genus Europs Wollaston, 1854 (Coleoptera: Monotomidae), E. carsteni sp. nov., is described, diagnosed and illustrated from Eocene Baltic amber. This Palaeogene species can be distinguished from the known Eocene congeners by triangular femoral lines with long longitudinal linear extension produced beyond the middle of abdominal ventrite 1 and by the finely setose dorsum.
DOI: 10.15468/b9d3bj
title: Same but different: A systematic reassessment of the Hebius khasiensis Boulenger, 1890 (Reptilia: Squamata: Natricidae) species complex from the Indo-Burma biodiversity hotspot supports the revalidation of Natrix gilhodesi Wall, 1925 as a valid species

description: This dataset contains the digitized treatments in Plazi based on the original journal article Bohra, Sanath Chandra, Nguyen, Tan Van, Vogel, Gernot, Lalremsanga, Hmar Tlawmte, Biakzuala, Lal, Das, Madhurima, Warjri, Holiness, Thongni, Goldenstar, Poyarkov, Nikolay A., Purkayastha, Jayaditya (2025): Same but different: A systematic reassessment of the Hebius khasiensis Boulenger, 1890 (Reptilia: Squamata: Natricidae) species complex from the Indo-Burma biodiversity hotspot supports the revalidation of Natrix gilhodesi Wall, 1925 as a valid species. Zootaxa 5604 (4): 465-504, DOI: 10.11646/zootaxa.5604.4.3, URL: https://doi.org/10.11646/zootaxa.5604.4.3AbstractThis study provides new insights into the systematics of the natricid species Hebius khasiensis Boulenger sensu lato. Our findings are based on recent collections from northeast India, including the type locality in the Khasi Hills, Meghalaya, and the examination of its syntypes. There is a species named Natrix gilhodesi Wall from Kachin State, Myanmar, which is currently considered a subjective junior synonym of H. khasiensis, but molecular data based on the mitochondrial gene analysis show that populations from northeast India and Kachin, Myanmar are deeply divergent from each other. Here, we redescribe H. khasiensis and designate an adult female from its syntypes as the lectotype for the taxonomic stability of the given species. We also revalidate Natrix gilhodesi from Myanmar as a valid species of the genus Hebius based on molecular and morphological parameters.
DOI: 10.5281/zenodo.18112982
title: Activity of Thymoquinone and antibiotics against Staphylococcus aureus

description: Introduction :It is required to research alternative methods of treatment to combat the problem of antimicrobial resistance in bacteria. Thymoquinone (TQ) is an active component of the Nigella sativa seeds, used for decades as traditional medicine. 

Objective: Determination of antibacterial activity of TQ in combination with antibiotics against Staphylococcus aureus grown from wound infection cases.
DOI: 10.5281/zenodo.18112981
title: Activity of Thymoquinone and antibiotics against Staphylococcus aureus

description: Introduction :It is required to research alternative methods of treatment to combat the problem of antimicrobial resistance in bacteria. Thymoquinone (TQ) is an active component of the Nigella sativa seeds, used for decades as traditional medicine. 

Objective: Determination of antibacterial activity of TQ in combination with antibiotics against Staphylococcus aureus grown from wound infection cases.
DOI: 10.25976/tnw0-3x43
title: Provincial Water Quality Monitoring Network (PWQMN)

description: The Provincial (Stream) Water Quality Monitoring Network (PWQMN) measures water quality in rivers and streams across Ontario.Over 400 locations are currently monitored in partnership with Ontario's Conservation Authorities, participating municipalities and provincial parks.Partners collect water samples on an approximately monthly basis and deliver them to the Ministry's laboratory where they are analyzed for a suite of water quality indicators. The program has been operating since 1964 providing a valuable database for tracking changes in water quality over time. More recently, special studies have been implemented in agricultural and urban watersheds to collect additional information in support of source protection planning and nutrient, road salts and pesticides management.