cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/xc8cngh545
title: Optimizing stand density enhances tree drought adaptability in forest plantations

description: To determine the optimal stand density for plantations with strong drought adaptability, we used tree ring data obtained by sampling trees from five black locust plantations, with stand densities ranged from 1000 to 2300 trees/ha in the Zhifanggou watershed on the Loess Plateau (LP). Our research hypothesize that: 1 higher stand density increases tree drought sensitivity. 2 Tree drought adaptability decreases with increasing stand density. 3 Stand density influences tree drought adaptability primarily through soil water content and competition. 
We shared tree ring width data, the diameter at breast height, and competition index data for five stand densities. The tree ring width data is uploaded in .txt format （Named with different densities）, while other data is uploaded in Excel format （ Named as share data） .
DOI: 10.17632/xc8cngh545.1
title: Optimizing stand density enhances tree drought adaptability in forest plantations

description: To determine the optimal stand density for plantations with strong drought adaptability, we used tree ring data obtained by sampling trees from five black locust plantations, with stand densities ranged from 1000 to 2300 trees/ha in the Zhifanggou watershed on the Loess Plateau (LP). Our research hypothesize that: 1 higher stand density increases tree drought sensitivity. 2 Tree drought adaptability decreases with increasing stand density. 3 Stand density influences tree drought adaptability primarily through soil water content and competition. 
We shared tree ring width data, the diameter at breast height, and competition index data for five stand densities. The tree ring width data is uploaded in .txt format （Named with different densities）, while other data is uploaded in Excel format （ Named as share data） .
DOI: 10.17632/3w6nsp5bbj.1
title: Admission Dataset

description: The dataset contains information about students who applied to a university, particularly their admission outcomes. The data was collected from the university’s admissions office for applicants who applied during the years 2020, 2021, and 2022. This dataset is provided to support researchers, especially in the field of natural language processing using the Indonesian language, and is not intended for commercialization purposes.
DOI: 10.17632/3w6nsp5bbj.2
title: Admission Dataset

description: The dataset contains information about students who applied to a university, particularly their admission outcomes. The data was collected from the university’s admissions office for applicants who applied during the years 2020, 2021, and 2022. This dataset is provided to support researchers, especially in the field of natural language processing using the Indonesian language, and is not intended for commercialization purposes.
DOI: 10.17632/ftmmbscbjt
title: Near-Surface Temperature Warming Modulated by Rain Layers at the Edge of a Warm Eddy

description: This data set contains float data from the western Paciifc in June 2023. The data has been gridded in the temporal resolution of 30 min and vertical resolution of 2 m.
DOI: 10.17632/ftmmbscbjt.1
title: Near-Surface Temperature Warming Modulated by Rain Layers at the Edge of a Warm Eddy

description: This data set contains float data from the western Paciifc in June 2023. The data has been gridded in the temporal resolution of 30 min and vertical resolution of 2 m.
DOI: 10.17632/tz8hgf9stn.1
title: Data for Long–term application of agricultural amendments regulate the assembly of different bacterial sub–communities and growth of multi–species biofilms in paddy soils

description: High-throughput sequencing of bacteria.
DOI: 10.21227/jq5n-4059
title: "Classification-of-bathymetric-data"

description: "The dataset used in this study consists of Airborne LiDAR Bathymetry (ALB) waveform data collected by the Norwegian Mapping Authority via Field Geospatial AS. It covers the Fj\u00f8l\u00f8y Island area in Stavanger, Norway, a region characterized by fjords and diverse submerged environments. The dataset is proprietary and was provided to the authors under a research collaboration agreement.Two subsets were extracted from the full dataset:Dataset 1: 6,379 waveform filesDataset 2: 4,428 waveform filesEach waveform file contains:960 intensity values (samples) representing the laser return signal.Metadata including point coordinates, scanner location, intensity, timestamp, and vector direction."
DOI: 10.17632/5285sr42x3.1
title: Data Click Unicorn

description: From Clicks to Unicorns DATA
DOI: 10.17632/bzhmmfymsb.1
title: Fire Extinguisher

description: This dataset contains 668 images of fire extinguishers captured in diverse environments and lighting conditions. It is designed for object detection and classification tasks, helping in the development of safety monitoring systems, robotics, and computer vision models that require accurate identification of fire safety equipment. The dataset includes varying angles, backgrounds, and distances to ensure robustness in real-world applications.
DOI: 10.17632/f964jppzbv
title: The Impact of Reduced Nitrogen Fertilizer Application and AMF Inoculation on Nitrogen Utilization in Intercropped Areca catechu and Vanilla planifolia

description: Areca (Areca catechu L.) is an important economic crop in tropical regions, but excessive nitrogen application leads to low nitrogen fertilizer utilization efficiency (approximately 30%) and groundwater pollution. Vanilla (Vanilla planifolia Andrews) is a high-value spice plant that can be intercropped with areca to enhance land use efficiency. This study examined the impact of nitrogen reduction (at levels of conventional fertilization, a 30% reduction, and a 60% reduction) and the inoculation of AMF on the photosynthetic characteristics, physiological metabolism, and nitrogen utilization within an areca and vanilla intercropping system, employing a two-factor experimental design. The results showed that nitrogen reduction significantly inhibited chlorophyll content (decreased by 46.21%), net photosynthesis (decreased by 71.13%), and transpiration rate (decreased by 44.34%) of vanilla orchid without inoc of AMF, but had little effect on the photosynthesis of areca. Inoculation with AMF, notably Funneliformis mosseae, alleviated the adverse effects of reduced nitrogen on vanilla orchids. The net photosynthesis increased by 76.23%, and the intercellular CO2 concentration rose by 69.48%, both of which were significantly enhanced. Additionally, the nitrogen uptake efficiency of the areca was improved, with root vitality increasing by 39.96%. Additionally, AMF enhanced the activities of acid phosphatase (increased by 38.86% in vanilla) and nitrate reductase (increased by 53.77% in areca), promoting soil mineral nutrient activation and nitrogen metabolism. Studies have shown that nitrogen reduction combined with AMF inoculation can significantly improve the nitrogen use efficiency of the areca and vanilla intercropping system, alleviate environmental pressure, reveal its synergistic mechanism in the tropical intercropping system, and provide a theoretical basis for sustainable agriculture in tropical regions.
DOI: 10.17632/f964jppzbv.1
title: The Impact of Reduced Nitrogen Fertilizer Application and AMF Inoculation on Nitrogen Utilization in Intercropped Areca catechu and Vanilla planifolia

description: Areca (Areca catechu L.) is an important economic crop in tropical regions, but excessive nitrogen application leads to low nitrogen fertilizer utilization efficiency (approximately 30%) and groundwater pollution. Vanilla (Vanilla planifolia Andrews) is a high-value spice plant that can be intercropped with areca to enhance land use efficiency. This study examined the impact of nitrogen reduction (at levels of conventional fertilization, a 30% reduction, and a 60% reduction) and the inoculation of AMF on the photosynthetic characteristics, physiological metabolism, and nitrogen utilization within an areca and vanilla intercropping system, employing a two-factor experimental design. The results showed that nitrogen reduction significantly inhibited chlorophyll content (decreased by 46.21%), net photosynthesis (decreased by 71.13%), and transpiration rate (decreased by 44.34%) of vanilla orchid without inoc of AMF, but had little effect on the photosynthesis of areca. Inoculation with AMF, notably Funneliformis mosseae, alleviated the adverse effects of reduced nitrogen on vanilla orchids. The net photosynthesis increased by 76.23%, and the intercellular CO2 concentration rose by 69.48%, both of which were significantly enhanced. Additionally, the nitrogen uptake efficiency of the areca was improved, with root vitality increasing by 39.96%. Additionally, AMF enhanced the activities of acid phosphatase (increased by 38.86% in vanilla) and nitrate reductase (increased by 53.77% in areca), promoting soil mineral nutrient activation and nitrogen metabolism. Studies have shown that nitrogen reduction combined with AMF inoculation can significantly improve the nitrogen use efficiency of the areca and vanilla intercropping system, alleviate environmental pressure, reveal its synergistic mechanism in the tropical intercropping system, and provide a theoretical basis for sustainable agriculture in tropical regions.
DOI: 10.17632/7jthwds2v4
title: Wave Nozzle design

description: STL file of nozzle.
DOI: 10.17632/7jthwds2v4.1
title: Wave Nozzle design

description: STL file of nozzle.
DOI: 10.17632/88dg2hpgzy.1
title: THE EVOLUTION OF INFLUENCER MARKETING DATA

description: THE EVOLUTION OF INFLUENCER MARKETING ON BRAND AWARENESS AND PURCHASE INTENTION: A BIBLIOMETRIC ANALYSIS DATA
DOI: 10.17632/grm4ptxnfz.1
title: Proteomic profile data of rabbit stem cell secretome and stem cell/tenocyte secretome and gene expression data, scratch assay and CAM assay data of tenocyte in vitro cultures supplemented with these two different secretomes

description: Two different cell secretomes were obtained from New Zealand White rabbit adipose tissue-derived mesenchymal stem cells (ADSCs) or from a 3:1 mixed culture of ADSCs and rabbit Achilles tenocytes. They were examined and compared in terms of their proteomic profiles and biological activities. Applied to a tenocyte in vitro culture, gene expression analysis data, scratch assay and chorioallantoic membrane of the chicken embryo (CAM) assay data are provided.
DOI: 10.17632/9g668bfhy5.1
title: RoseLeafSet: Real-World Leaf Image Dataset for AI-Based Agricultural Solutions

description: This RoseLeafSet dataset has been meticulously curated collected images (Primary 3,113, and Expanded 10,000) to support research in machine learning (ML), deep learning (DL), and computer vision (CV) for plant health assessment and disease classification. Collected from Amin Model Town, Khagan, Ashuliya, Dhaka, the dataset is a reflection of real-world agricultural conditions, capturing a variety of rose leaf health states under natural environmental lighting and backgrounds. The dataset consists of 3,113 annotated images, systematically categorized into four major classes:

Primary Images (3,113):
1. Healthy Leaf – 818 images
2. Black Spot – 1,288 images
3. Leaf Hole – 683 images
4. Dry Leaf – 324 images


Augmented Images (10,000):
1. Healthy Leaf – 2,500 images
2. Black Spot – 2,500 images
3. Leaf Hole – 2,500 images
4. Dry Leaf – 2,500 images

The classification reflects some of the most common rose plant conditions seen in Bangladeshi gardens and nurseries. Each class represents unique visual features—such as color changes, textural differences, and structural anomalies—that are vital for building accurate and robust classification models.

Image Collection Methodology:
Images were captured using high-resolution smartphone cameras at various angles and distances to ensure diversity. Different times of the day were considered to include a range of natural lighting conditions (e.g., direct sunlight, overcast, and shade), making the dataset suitable for real-world deployment scenarios. The data was further reviewed manually to eliminate duplicates, ensure class consistency, and maintain quality.

Use Cases and Research Scope, and dataset is highly applicable for:

- Supervised learning models: Training CNNs (e.g., DenseNet201, VGG16, InceptionV3, ResNet50) to classify leaf diseases.
- Transfer learning: Fine-tuning pre-trained architectures on this domain-specific dataset.
- Data augmentation studies: Investigating the impact of rotation, flipping, zooming, and brightness normalization to improve model generalization.
- Explainable AI (XAI): Developing interpretable models to assist agronomists and farmers in understanding model predictions.
- Mobile and edge computing deployment: Enabling real-time disease detection in low-resource settings using lightweight DL models.

Agricultural and Societal Impact:
Rose cultivation is economically and culturally significant in many parts of Bangladesh. Early detection of leaf diseases can substantially reduce the use of harmful pesticides, improve plant health, and boost productivity. This dataset serves as a foundation for precision agriculture systems and intelligent farming applications, promoting sustainability, cost-effectiveness, and technological integration in agriculture.
DOI: 10.17632/n5gxr7k2hy
title: Periplaneta americana extract ameliorates recurrent oral ulcers in rats by enhancing the intestinal epithelial barrier and regu-lating gut microbiota

description: Recurrent oral ulcers (ROUs) of oral mucosa disease are difficult to cure and relapse easily. Periplaneta americana extract (PAD), a raw material used in Kangfuxin Liquid and Yunnan Baiyao toothpaste, contains a variety of growth factors such as polypeptides and sticky sugar amino acids that promote tissue repair; this can encourage the growth of granula-tion tissue and reduce inflammation on wound surfaces. In this study, we used a rat model of ROU induced by an antigen emulsifier to assess the ameliorative effects of PAD on rat ROUs and to explore its mechanism of action. The effect of PAD in rats was evalu-ated by ELISA kit, hematoxylin-eosin staining, immunohistochemistry, RT-qPCR, and WB. 16S rRNA sequencing and GC-MS were used to detect the changes in intestinal flora and its metabolite SCFAs in the feces of rats, respectively. PAD significantly reduced the infil-tration of local inflammatory cells and significantly downregulated IL-6 and TNF-α, while upregulating IL-2, IL-10, and VEGF. In addition, PAD altered the diversity and abundance of the gut microbiota and increased fecal short-chain fatty acid levels. Notably, PAD can improve the pathological injury of the colon, enhance the intestinal barrier of the colon, and reduce the apoptosis of colon cells. In conclusion, the oral administration of PAD may effectively treat ROUs via regulating metabolites and altering the composition of the intes-tinal microbiota, thereby improving the intestinal barrier function.
DOI: 10.17632/n5gxr7k2hy.1
title: Periplaneta americana extract ameliorates recurrent oral ulcers in rats by enhancing the intestinal epithelial barrier and regu-lating gut microbiota

description: Recurrent oral ulcers (ROUs) of oral mucosa disease are difficult to cure and relapse easily. Periplaneta americana extract (PAD), a raw material used in Kangfuxin Liquid and Yunnan Baiyao toothpaste, contains a variety of growth factors such as polypeptides and sticky sugar amino acids that promote tissue repair; this can encourage the growth of granula-tion tissue and reduce inflammation on wound surfaces. In this study, we used a rat model of ROU induced by an antigen emulsifier to assess the ameliorative effects of PAD on rat ROUs and to explore its mechanism of action. The effect of PAD in rats was evalu-ated by ELISA kit, hematoxylin-eosin staining, immunohistochemistry, RT-qPCR, and WB. 16S rRNA sequencing and GC-MS were used to detect the changes in intestinal flora and its metabolite SCFAs in the feces of rats, respectively. PAD significantly reduced the infil-tration of local inflammatory cells and significantly downregulated IL-6 and TNF-α, while upregulating IL-2, IL-10, and VEGF. In addition, PAD altered the diversity and abundance of the gut microbiota and increased fecal short-chain fatty acid levels. Notably, PAD can improve the pathological injury of the colon, enhance the intestinal barrier of the colon, and reduce the apoptosis of colon cells. In conclusion, the oral administration of PAD may effectively treat ROUs via regulating metabolites and altering the composition of the intes-tinal microbiota, thereby improving the intestinal barrier function.
DOI: 10.5281/zenodo.15358695
title: Jerichow

description: Historical questionnaire/s  1924/1948 and index cards, partly selected enclosures regarding the history of a German pharmacy, catalogued via Kalliope portal (Historischer Fragebogen 1924/1948 und Karteikarten, ggf. gemeinfreie Anlagen zur Apothekengeschichte; als Katalog dient das Nachlassportal Kalliope): https://kalliope-verbund.info/DE-611-BF-70963[Funktion: Im Findbuch anzeigen]

Please note: The Kalliope catalogue entry might indicate related material in the archival folder which cannot  be published due to copyright or other legal restrictions (NB: Das Katalogisat bei Kalliope kann auch auf Materialien - teils erheblichen Umfangs - verweisen, die aus archiv- oder urheberrechtlichen Gründen nicht  veröffentlicht werden dürfen).
DOI: 10.5281/zenodo.15358696
title: Jerichow

description: Historical questionnaire/s  1924/1948 and index cards, partly selected enclosures regarding the history of a German pharmacy, catalogued via Kalliope portal (Historischer Fragebogen 1924/1948 und Karteikarten, ggf. gemeinfreie Anlagen zur Apothekengeschichte; als Katalog dient das Nachlassportal Kalliope): https://kalliope-verbund.info/DE-611-BF-70963[Funktion: Im Findbuch anzeigen]

Please note: The Kalliope catalogue entry might indicate related material in the archival folder which cannot  be published due to copyright or other legal restrictions (NB: Das Katalogisat bei Kalliope kann auch auf Materialien - teils erheblichen Umfangs - verweisen, die aus archiv- oder urheberrechtlichen Gründen nicht  veröffentlicht werden dürfen).
DOI: 10.5281/zenodo.15358645
title: tigridia_pavonia_spades_01.fasta.gz
DOI: 10.5281/zenodo.15358646
title: tigridia_pavonia_spades_01.fasta.gz
DOI: 10.15468/dl.4cqh25
title: Occurrence Download

description: A dataset containing 3306 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Colombia",
 "TaxonKey is Ulex europaeus L."
 ]
}

 The dataset includes 3306 records from 43 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019873-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5519/qd.7axsev9u
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (42 records)
DOI: 10.21227/tdn0-5s17
title: "data of interference"

description: "6 typical suppression-type interference signals are generated by MATLAB 2021b: Sine amplitude modulation(SAM), Sine frequency modulation(SFM), Noise frequency modulation(NFM), Noise amplitude modulation(NAM), Linear frequency modulation sweep(LFM), Logarithmic frequency modulation sweep (LogFM)."
DOI: 10.15468/dl.bz4dxr
title: Occurrence Download

description: A dataset containing 1632 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Aeschynomene americana L.",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Human Observation, Living Specimen, Occurrence evidence)"
 ]
}

 The dataset includes 1632 records from 41 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019875-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mq6aua
title: Occurrence Download

description: A dataset containing 951 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Briófitas del Herbario EIF"
 ]
}

 The dataset includes 951 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019878-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15357964
title: CERNATAX reference ceRNA network

description: The full version of reference ceRNA network used for CERNATAX (https://github.com/thelingxichen/CERNATAX) pipeline.
DOI: 10.6084/m9.figshare.28089350
title: Dataset for finalized research (GR-2018-12366756)

description: These datasets contain all data for the final report of the finalized research (GR-2018-12366756), titled "Novel determinants and potential therapeutic targets in extraskeletal calcification and ossification: focus on the PTH and FGF23 network".
DOI: 10.17632/33n9mcxypn.1
title: Good and bad classification of sweet sondash

description: Characteristics of Good Quality Sweet Sondesh:
 * Appearance:
 * Color: Should be appropriate for the type of sondesh (e.g., yellowish-white to pale yellow for naram-pak, off-white to light brown for some others). It should be uniform and free from any discoloration or burnt particles.
 * Shape: Well-formed according to the specific type or mold used, with smooth edges and no cracks (for some varieties).
 * Moisture: The surface should be slightly moist without being wet or releasing excessive fat upon handling.
 * Texture:
 * Soft Grade (Naram-pak): Smooth, cohesive, and melts in the mouth. It should have small, uniform grains.
 * Hard Grade (Kara-pak): Firmer and may have a slightly chewy texture, depending on the preparation.
 * General: Should not be hard, rubbery, or grainy (unless graininess is a characteristic of that specific type, like danedar khoa-based sondesh).
 * Flavor and Aroma:
 * Pleasant, sweet taste with a mild cooked or caramelized flavor, characteristic of milk-based sweets.
 * May have added flavors like cardamom, saffron, or rose, which should be distinct and appealing.
 * Free from any off-flavors such as sourness, bitterness, or a stale/rancid smell.
 * Other Factors:
 * Freshness: Should be recently prepared.
 * Absence of Adulteration: Free from any artificial colors, flavors, or other adulterants.
Indicators of Poor Quality Sweet Sondesh:
 * Appearance:
 * Unusual or uneven color, presence of dark or burnt spots.
 * Dry, cracked surface or excessive release of fat.
 * Misshapen or poorly formed.
 * Visible signs of mold or spoilage.
 * Texture:
 * Hard, dry, and crumbly.
 * Rubbery or excessively chewy when it should be soft.
 * Large, undesirable grains.
 * Flavor and Aroma:
 * Sour, bitter, or metallic taste.
 * Stale, rancid, or fermented smell.
 * Overpowering artificial flavors.
General Information about Sweet Sondesh:
Sweet sondesh is a traditional Bengali sweet made primarily from chhana (paneer or fresh cheese), sugar, and flavorings. It is known for its diverse varieties, textures, and flavors. The quality of sondesh depends significantly on the quality of the chhana used, the ratio of sugar, and the cooking process. Cow's milk chhana is generally preferred for its soft texture and fine grains.
There are broadly three main types of sondesh based on texture:
 * Soft Grade (Naram-pak or Kosturpak): High moisture content, soft and smooth texture. Examples include jolbhara sandesh and monohora. These have a shorter shelf life.
 * Hard Grade (Kara-pak): Lower moisture content, firmer texture, often molded into intricate shapes. Examples include talshash sandesh. These generally have a longer shelf life than the soft grade.
 * Raw Grade (Kachagolla): Minimal cooking is involved, retaining a very soft and moist texture. This type has the shortest shelf life.
Shelf Life and Storage:
The shelf life of sweet sondesh varies depending on its type and storage conditions: