cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/htf9g6dw78.1
title: PP2Aca regulates cerebellar development

description: The raw data of our manuscript "PP2Aca regulates cerebellar development via phosphorylation-dependent neural programs" are shown here. 
All the raw data has been organized and sorted according to the order of the figures in the article.
Here is the abstract of the manuscript:
The development of the cerebellum requires precise control of phosphorylation, yet the contribution of protein phosphatases remains poorly understood. Here we investigate the function of protein phosphatase 2A catalytic subunit (PP2Acα) in cerebellar granule neuron. Conditional deletion of Ppp2ca using Atoh1-Cre mice resulted in impaired motor coordination and cognitive performance, indicating disrupted cerebellar development. Histological analyses revealed abnormal granule neuron proliferation, migration and defective Purkinje cell organization during early postnatal stages. Phosphoproteomic and proteomic profiling of primary granule neurons revealed PP2Acα-dependent regulation of cell cycle control, cytoskeletal remodeling, RNA splicing, metabolism, and translation. Extending these analyses to whole cerebellar tissues uncovered broader system-level changes affecting neuronal morphogenesis, mRNA processing, synaptic signaling, and behavior. Collectively, these findings establish PP2Acα as a critical regulator of cerebellar development through multilayered control of phosphorylation and protein homeostasis, providing mechanistic insights into phosphatase-related neurodevelopmental disorders.
DOI: 10.15468/dl.pg24ja
title: Occurrence Download

description: A dataset containing 32 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Machine Observation, Human Observation, Living Specimen)",
 "TaxonKey is Orlitia borneensis"
 ]
}

 The dataset includes 32 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005692-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/9crndwshx8
title: Thermal Resistance and Rutting Resistance of Steel Slag Asphalt Mixtures

description: Research data for the paper
DOI: 10.17632/9crndwshx8.1
title: Thermal Resistance and Rutting Resistance of Steel Slag Asphalt Mixtures

description: Research data for the paper
DOI: 10.17632/xr37zn454c.1
title: Faultage Matrix Flipped Flap for pediatric fingernail longitudinal melanonychia &gt; 3 mm: follow-up of 15 pediatric patients

description: Supplementary Figure 1. Case 6 with Faultage Matrix Flipped Flap reconstruction for the treatment of longitudinal melanonychia (LM). (A). LM on the fingernail. (B). Intraoperative findings revealed the pigment involved both the nail matrix and the nail bed. (C). excise the lesion, then reflect the flap and invert to cover the defect. (D). Closure was achieved with 6-0 polypropylene sutures. (E). Postoperative outcomes demonstrating no recurrence of melanonychia or nail dystrophy in the reconstructed fingernail at 22-month postoperative follow-up.
Supplementary Figure 2. Case 7 with Faultage Matrix Flipped Flap reconstruction for the treatment of longitudinal melanonychia (LM). (A). LM on the fingernail. (B). excise the lesion. (C). Reflect the flap and invert to cover the defect. (D). Closure was achieved with 6-0 polypropylene sutures. (E). restore the appearance. (F). Postoperative outcomes demonstrating no recurrence of melanonychia or nail dystrophy in the reconstructed fingernail at 19-month postoperative follow-up.
Supplementary Figure 3. Case 8 with Faultage Matrix Flipped Flap reconstruction for the treatment of longitudinal melanonychia (LM). (A). LM on the fingernail. (B). Intraoperative findings revealed the pigment involved both the nail matrix and the nail bed. (C). excise the lesion. (D). Reflect the flap and invert to cover the defect, then closure was achieved with 6-0 polypropylene sutures. (E). Postoperative outcomes demonstrating no recurrence of melanonychia or nail dystrophy in the reconstructed fingernail at 15-month postoperative follow-up.
Supplementary Figure 4. Case 9 with Faultage Matrix Flipped Flap reconstruction for the treatment of longitudinal melanonychia (LM). (A). LM on the fingernail. (B). Intraoperative findings revealed the pigment involved both the nail matrix and the nail bed. (C). excise the lesion. (D). Reflect the flap and invert to cover the defect, then closure was achieved with 6-0 polypropylene sutures. (E). Postoperative outcomes demonstrating no recurrence of melanonychia or nail dystrophy in the reconstructed fingernail at 14-month postoperative follow-up.
Supplementary Figure 5. Case 14 with Faultage Matrix Flipped Flap reconstruction for the treatment of longitudinal melanonychia (LM). (A). LM on the fingernail. (B). excise the lesion. (C). Reflect the flap and invert to cover the defect. (D). Closure was achieved with 6-0 polypropylene sutures. (E). Reattach the avulsed fingernail plate to its anatomical position using absorbable sutures. (F). at 5-month postoperative follow-up. (G). at 7-month postoperative follow-up. (H). at 8-month postoperative follow-up. (I). at 9-month postoperative follow-up. (J). at 14-month postoperative follow-up.
 
Supplementary Table 1. Patients’ demographic and clinical characteristics. 

Supplementary Video. The process of the Faultage Matrix Flipped Flap
DOI: 10.17632/7hjdj84hvx
title: Dataset: Tree functional traits drive the retention of deposited nitrogen and N-induced carbon sequestration

description: The impacts of nitrogen (N) deposition on forest carbon sequestration largely depend on N forms and their subsequent fates. While species mixing benefits carbon and N accumulation in plantation ecosystems, the fates of deposited N and their contributions to carbon sequestration in monoculture and mixed plantations in N-limited semiarid regions remain unclear. This dataset contains measurements from an ecosystem-scale ^15N labeling experiment conducted in monocultures of Robinia pseudoacacia, Pinus tabuliformis, and their mixed plantation on the Loess Plateau, China. Two forms of ^15N tracers—ammonium nitrate (^15N-AN) and urea (^15N-urea)—were applied to quantify the fate of deposited nitrogen in different plantation types. The dataset includes biomass, carbon and nitrogen concentrations, carbon and nitrogen pool sizes, and Δδ^15N values for major ecosystem compartments, including trees, understory vegetation, litter layer, and mineral soil. Data are provided in Microsoft Excel format (.xlsx) with clearly labeled sheets and columns. These data can support studies on nitrogen cycling, species mixing effects, and the fate of nitrogen deposition in plantation ecosystems.
Ecosystem compartments – The sampled component of the ecosystem, including tree organs (leaf, branch, bark, stem, coarse root, fine root), understory vegetation (herb and shrub, above- and belowground), litter layer, and mineral soil at 0–10 cm, 10–20 cm, and 20–40 cm depths. Prefixes indicate plantation type: RP = Robinia pseudoacacia monoculture, PT = Pinus tabuliformis monoculture, M_RP = R. pseudoacacia in mixed plantation, M_PT = P. tabuliformis in mixed plantation..
Δδ15N-AN (‰) – Change in δ15N values after 15N-ammonium nitrate labeling, expressed in per mil (‰) relative to natural abundance.
Δδ15N-urea (‰) – Change in δ15N values after 15N-urea labeling, expressed in per mil (‰) relative to natural abundance.
DOI: 10.17632/7hjdj84hvx.1
title: Dataset: Tree functional traits drive the retention of deposited nitrogen and N-induced carbon sequestration

description: The impacts of nitrogen (N) deposition on forest carbon sequestration largely depend on N forms and their subsequent fates. While species mixing benefits carbon and N accumulation in plantation ecosystems, the fates of deposited N and their contributions to carbon sequestration in monoculture and mixed plantations in N-limited semiarid regions remain unclear. This dataset contains measurements from an ecosystem-scale ^15N labeling experiment conducted in monocultures of Robinia pseudoacacia, Pinus tabuliformis, and their mixed plantation on the Loess Plateau, China. Two forms of ^15N tracers—ammonium nitrate (^15N-AN) and urea (^15N-urea)—were applied to quantify the fate of deposited nitrogen in different plantation types. The dataset includes biomass, carbon and nitrogen concentrations, carbon and nitrogen pool sizes, and Δδ^15N values for major ecosystem compartments, including trees, understory vegetation, litter layer, and mineral soil. Data are provided in Microsoft Excel format (.xlsx) with clearly labeled sheets and columns. These data can support studies on nitrogen cycling, species mixing effects, and the fate of nitrogen deposition in plantation ecosystems.
Ecosystem compartments – The sampled component of the ecosystem, including tree organs (leaf, branch, bark, stem, coarse root, fine root), understory vegetation (herb and shrub, above- and belowground), litter layer, and mineral soil at 0–10 cm, 10–20 cm, and 20–40 cm depths. Prefixes indicate plantation type: RP = Robinia pseudoacacia monoculture, PT = Pinus tabuliformis monoculture, M_RP = R. pseudoacacia in mixed plantation, M_PT = P. tabuliformis in mixed plantation..
Δδ15N-AN (‰) – Change in δ15N values after 15N-ammonium nitrate labeling, expressed in per mil (‰) relative to natural abundance.
Δδ15N-urea (‰) – Change in δ15N values after 15N-urea labeling, expressed in per mil (‰) relative to natural abundance.
DOI: 10.17632/w3rpfzyphk
title: Enamel regen. raw
DOI: 10.17632/w3rpfzyphk.1
title: Enamel regen. raw
DOI: 10.15468/dl.chzquj
title: Occurrence Download

description: A dataset containing 227 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Specimen, Machine Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Opuntia arechavaletae"
 ]
}

 The dataset includes 227 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005693-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/kgyzkbvygg
title: Supplementary Data: Measurement Grids for Activeness, Collaboration, and Problem-Solving Skills

description: This dataset contains supplementary materials presenting the measurement grids and instrument specifications for three key research variables: Student Activeness, Collaboration Skills, and Problem-Solving Abilities.

The file includes: 1. Activeness Specification Table (Table 1): Details aspects (Courage, Participation, Creativity, Independence) and indicators adapted from Nugraha (2019) and Sinar (2018). 2. Collaboration Skills Specification Table (Table 2): Outlines aspects (Roles/Responsibilities, Communication, Active Involvement) and indicators adapted from Koroh & Widiastuti (2021) and Greenstain (2023). 3. Problem-Solving Skills Specification Table (Table 3): Presents the blueprint for an 18-item multiple-choice test based on Polya's problem-solving stages (Understanding the problem, Planning, Implementing, and Looking back), adapted for the 5th-grade elementary curriculum.
DOI: 10.17632/kgyzkbvygg.1
title: Supplementary Data: Measurement Grids for Activeness, Collaboration, and Problem-Solving Skills

description: This dataset contains supplementary materials presenting the measurement grids and instrument specifications for three key research variables: Student Activeness, Collaboration Skills, and Problem-Solving Abilities.

The file includes: 1. Activeness Specification Table (Table 1): Details aspects (Courage, Participation, Creativity, Independence) and indicators adapted from Nugraha (2019) and Sinar (2018). 2. Collaboration Skills Specification Table (Table 2): Outlines aspects (Roles/Responsibilities, Communication, Active Involvement) and indicators adapted from Koroh & Widiastuti (2021) and Greenstain (2023). 3. Problem-Solving Skills Specification Table (Table 3): Presents the blueprint for an 18-item multiple-choice test based on Polya's problem-solving stages (Understanding the problem, Planning, Implementing, and Looking back), adapted for the 5th-grade elementary curriculum.
DOI: 10.17632/vty92kfd3k.1
title: JDS.2025-27595-supplementary

description: This section presents supplementary materials for the manuscript “Calcium Yak Caseinate Promotes Calcium Absorption to Prevent Osteoporosis in Mice” (JDS.2025-27595-supplementary), including: Table S1. Mouse food intake and fecal output; Table S2. Feed Ingredient; Table S3. Results of the Correlation Analysis; Figure S1. KEGG-Mineral absorption pathway (PATHWAY: hsa04978)
DOI: 10.17632/7nw56w37h6
title: Data: Risk transmission and driving factors of leverage ratio in China’s macroeconomic sectors

description: Dataset used in the empirical analysis.
DOI: 10.17632/7nw56w37h6.1
title: Data: Risk transmission and driving factors of leverage ratio in China’s macroeconomic sectors

description: Dataset used in the empirical analysis.
DOI: 10.17632/5hx6rhwkx6.2
title: Google Results (merged)

description: Google Results Dataset
This dataset captures the number of Google-indexed pages that mention each target brand over a ten-year period (2014–2024). To extract this data, we employed a monthly querying strategy using Google Search’s built-in time filter capabilities. Specifically, the following advanced search operator was used for each brand and month:
"keyword" after:YYYY-MM-DD before:YYYY-MM-DD
For example, the query:
"Brand Name" after:2014-01-01 before:2014-02-01
retrieves the number of indexed pages containing the keyword within January 2014. This approach was applied for each month over the study period and for both brands (“Hamrah-e-Aval” and “Irancell”), resulting in a longitudinal dataset representing the digital content footprint of each brand across time.
All collected monthly results were stored in tabular format, forming the basis for indicators related to Share of Voice(SOV) in Google.
Google Search Index Retrieval Procedure and Stability Considerations
Google Search index counts are approximate by design and may fluctuate across days, devices, interfaces, and changes in Google’s retrieval policies. To minimise these instabilities, all monthly index measurements for both brands (“Irancell” and “Hamrah Aval”) were collected simultaneously and under identical conditions, ensuring that any temporary fluctuations or policy changes affected both brands in the same direction. This avoided the bias that would arise if one brand were queried on one day and the second brand on another day.
To assess the magnitude of natural fluctuations, the same monthly extraction procedure was repeated on multiple days. Although minor variations were observed, the relative difference between the two brands remained consistently stable across repetitions. While no formal statistical averaging (e.g., mean/variance) was applied, visual inspection across repeated pulls confirmed that fluctuations did not materially alter the directional relationship between the brands. 
This behaviour aligns with well-documented properties of large-scale web data: even when raw counts are noisy or partially unavailable, comparative and ratio-based indicators remain stable and analytically meaningful, because behavioural patterns are encoded in relative rather than absolute magnitudes.
All data were collected manually—due to Google’s restrictions on automated scraping—using the official Google Web Search interface under a fixed locale (Iran), without VPN, using a desktop Chrome browser, and in the native Persian-language interface. This ensured full compliance with Google’s usage policies and guaranteed consistent retrieval conditions.
Given the known approximations of Google index counts, the SOVG and SOVGR indicators are interpreted as relative directional measures, where stability in ratios and trends is more important than absolute values. Normalisation to a 0–100 scale further mitigates the impact of minor fluctuations or partial unavailability of indexed pages.
DOI: 10.15468/dl.6eq57q
title: Occurrence Download

description: A dataset containing 121990 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (Argentina, Bolivia (Plurinational State of), Brazil, Colombia, French Guiana, Guyana, Paraguay, Peru, Suriname, Uruguay, Venezuela (Bolivarian Republic of), Ecuador, Chile)",
 "DatasetKey is Meise Botanic Garden Herbarium (BR)"
 ]
}

 The dataset includes 121990 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005685-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/k3h8jb7bd9
title: Audit Quality - Survey Data

description: Data were collected from independent auditors working at local and international firms in Cambodia.
DOI: 10.15468/dl.c39c4b
title: Occurrence Download

description: A dataset containing 6692 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Colombia",
 "TaxonKey is Odocoileus virginianus"
 ]
}

 The dataset includes 6692 records from 154 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005694-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2vc6mb
title: Occurrence Download

description: A dataset containing 88138 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Observation, Machine Observation, Human Observation, Occurrence evidence)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Physeter",
 "Year 1860-2025"
 ]
}

 The dataset includes 88138 records from 445 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005620-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/k3h8jb7bd9.1
title: Audit Quality - Survey Data

description: Data were collected from independent auditors working at local and international firms in Cambodia.
DOI: 10.17632/kgj3x94fwt
title: VASP Files

description: INCAR, POSCAR, KPOINTS
DOI: 10.17632/kgj3x94fwt.1
title: VASP Files

description: INCAR, POSCAR, KPOINTS
DOI: 10.17632/dsf4jk285p.2
title: Timeline

description: Google Trends Timeline Dataset
The second dataset was directly downloaded from the Google Trends platform using its official export feature. The "Interest Over Time" graph in Google Trends provides a normalized time series of search volume for a given keyword or brand. For each brand, data was exported as a CSV file by selecting the appropriate time range (2014–2024) and region (Iran). This resulted in a continuous timeline of search popularity, used to calculate indicators such as:
- Brand Awareness in Google (BAG)
- Growth Rate of Awareness in Google (BAGR)
The exported file includes timestamps and corresponding interest scores (0–100) normalized by Google.
Google Trends Query Design and Cross-series Comparability:
Google Trends normalizes each term within the query-specific time window, assigning values on a relative 0–100 scale. To ensure cross-brand comparability and avoid the known issue of inconsistent baselines across separate queries, both brand names (“Irancell” and “Hamrah Aval”) were retrieved together in a single multi-term query. This approach forces Google Trends to apply a shared normalization baseline, ensuring that all series are directly comparable at every point in time. Consequently, BAG, BAGR, and the BPG indicator are derived from time series that reflect genuine differences in public search interest rather than artifacts of independent normalization.
We also clarify that this principle applies to the entire EKPI framework: all indicators are designed to be collected simultaneously across competing brands, ensuring that any platform-level fluctuations affect all entities equally and preserving the validity of all comparative measurements.
DOI: 10.17632/rrw7jxbwdv
title: RNA-seq

description: This dataset contains the transcriptome profiles of thyroid cancer C643 cells treated with baicalin for 24 h, generated to investigate the anti-cancer effects of baicalin on this cell line.
DOI: 10.17632/rrw7jxbwdv.1
title: RNA-seq

description: This dataset contains the transcriptome profiles of thyroid cancer C643 cells treated with baicalin for 24 h, generated to investigate the anti-cancer effects of baicalin on this cell line.
DOI: 10.17632/nbpybx34sc.2
title: Related Query

description: Google Trends Related Queries Dataset
The third dataset consists of monthly related search queries obtained from the “Related Queries” section of Google Trends for both target brands. These related queries offer insights into specific user intents and behaviors beyond the main brand search.
For each month between 2014 and 2024, related query data was downloaded as CSV files using Google Trends' built-in export functionality. To enrich this dataset, we manually added a sentiment column to each query. Specifically:
- A subset of 3,762 unique queries was labeled by three independent annotators as positive, negative, or neutral based on domain-specific criteria.
- A domain expert finalized the annotation where disagreements occurred.
- These labeled queries were later used to train and validate a hybrid sentiment analysis model combining lexicon-based[39] and deep learning techniques.
 -All 47,000 queries extracted over 10 years were automatically labeled by the trained model.
This annotated dataset was crucial for calculating sentiment-aware indicators, such as:
- Positive Sentiment Ratio (PSR)
- Negative Sentiment (NS)
- Brand Consideration (PS)
DOI: 10.15468/dl.tqkxpf
title: Occurrence Download

description: A dataset containing 1455 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Specimen, Machine Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Opuntia mesacantha"
 ]
}

 The dataset includes 1455 records from 23 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005695-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/gf3wy57jd8.2
title: Lexicon Dictionary

description: A custom sentiment lexicon was developed for the telecom sector based on expert opinions in marketing. Keywords indicating service purchases or activations were labeled positive, while those indicating service cancellations were labeled negative. This lexicon must be tailored for industries other than telecom. (in which only positive sentiments were labeled as "1" and negative sentiments as "2".)