cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/svnbt6krsd.2
title: Lanxi PLUS data

description: The data of some of the work of the research area articles are stored here
DOI: 10.17632/2ynpt47677.1
title: Supp_Data: Efficacy and safety of Pasireotide in Insulinoma-associated hypoglycemia: a Systematic Review

description: Supplementary files for the article Titled Efficacy and safety of Pasireotide in Insulinoma-associated hypoglycemia: a Systematic Review
DOI: 10.17632/2ynpt47677
title: Supp_Data: Efficacy and safety of Pasireotide in Insulinoma-associated hypoglycemia: a Systematic Review

description: Supplementary files for the article Titled Efficacy and safety of Pasireotide in Insulinoma-associated hypoglycemia: a Systematic Review
DOI: 10.17632/2ynpt47677.2
title: Supp_Data: Efficacy and safety of Pasireotide in Insulinoma-associated hypoglycemia: a Systematic Review

description: Supplementary files for the article Titled Efficacy and safety of Pasireotide in Insulinoma-associated hypoglycemia: a Systematic Review
DOI: 10.17632/2krvn7m7nk.1
title: Stress Characteristics of High Viscosity Non-Newtonian Fluid in Wedge Flow Channel under Acoustic Vibration

description: This study examines the stress characteristics of high viscosity non-Newtonian fluids in a wedge-shaped channel under acoustic vibration using CFD methods. The analysis focuses on the distribution of compressive and shear stresses, and the effects of vibration amplitude and frequency on these stress characteristics. At low vibration intensity, high fill flow occurs within the channel, with compressive stress increasing spatially in different directions and shear stress exhibiting a block-like distribution. At high vibration intensity, the fill rate decreases. The high compressive stress is concentrated in point-like areas on the upper and lower walls, while high shear stress is found at the inlet, outlet, and walls. As amplitude and frequency of vibration increase, compressive stress initially increases, then decreases, and subsequently rises again, while shear stress first stabilizes and then increases. However, the periodicity of both stresses gradually weakens, and their fluctuation intensifies. Under the same acceleration, the combination of low frequency and high amplitude vibration is more effective in achieving full-field dispersion in the liquid phase, reducing compressive stress without excessively increasing shear stress.
DOI: 10.17632/2krvn7m7nk.2
title: Stress Characteristics of High Viscosity Non-Newtonian Fluid in Wedge Flow Channel under Acoustic Vibration

description: This study examines the stress characteristics of high viscosity non-Newtonian fluids in a wedge-shaped channel under acoustic vibration using CFD methods. The analysis focuses on the distribution of compressive and shear stresses, and the effects of vibration amplitude and frequency on these stress characteristics. At low vibration intensity, high fill flow occurs within the channel, with compressive stress increasing spatially in different directions and shear stress exhibiting a block-like distribution. At high vibration intensity, the fill rate decreases. The high compressive stress is concentrated in point-like areas on the upper and lower walls, while high shear stress is found at the inlet, outlet, and walls. As amplitude and frequency of vibration increase, compressive stress initially increases, then decreases, and subsequently rises again, while shear stress first stabilizes and then increases. However, the periodicity of both stresses gradually weakens, and their fluctuation intensifies. Under the same acceleration, the combination of low frequency and high amplitude vibration is more effective in achieving full-field dispersion in the liquid phase, reducing compressive stress without excessively increasing shear stress.
DOI: 10.15468/dl.9vqq8m
title: Occurrence Download

description: A dataset containing 181 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Netherlands",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Egeria densa Planch."
 ]
}

 The dataset includes 181 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024342-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/2krvn7m7nk.3
title: Acoustic Vibration-Induced Stress Dynamics in High Viscosity Non-Newtonian Fluids within a Wedge Flow Geometry

description: This study uses CFD methods to examine the stress characteristics of high viscosity non-Newtonian fluids in a wedge-shaped channel under acoustic vibration. The analysis focuses on the distribution of compressive and shear stresses, and the effects of vibration amplitude and frequency on these stress characteristics. At low vibration intensity, high fill flow occurs within the channel, with compressive stress increasing spatially in different directions and shear stress exhibiting a block-like distribution. At high vibration intensity, the fill rate decreases. The high compressive stress is concentrated in point-like areas on the upper and lower walls, while high shear stress is found at the inlet, outlet, and walls. As amplitude and frequency of vibration increase, compressive stress initially increases, then decreases, and subsequently rises again, while shear stress first stabilizes and then increases. However, the periodicity of both stresses gradually weakens, and their fluctuation intensifies. Under the same acceleration, the combination of low frequency and high amplitude vibration is more effective in achieving full-field dispersion in the liquid phase, reducing compressive stress without excessively increasing shear stress.
DOI: 10.15468/dl.f9t8ar
title: Occurrence Download

description: A dataset containing 58688 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((121.62388 31.41834,121.37789 31.25431,121.50803 31.02611,121.81116 31.01251,121.95082 31.08865,122.00795 31.25024,121.80798 31.41021,121.62388 31.41834))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Aves",
 "Year 2011-2025"
 ]
}

 The dataset includes 58688 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024333-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/g6cm3v3wdp.1
title: Hydroponic Farming Data

description: Over a three-month period, we conducted three consecutive 30-day experiments to monitor Batavia lettuce growth under varying conditions (water temperature, electrical conductivity, and pH). Each day, a dual-camera system traversed the hydroponic channels, capturing high-resolution images of every plant. In total, the dataset contains over 390,000 images, each annotated with environmental and water-quality metadata, forming a robust resource for machine learning–based growth prediction and anomaly detection in hydroponic farming. This data is provided after segmentation of yolo-v8.
DOI: 10.17632/g6cm3v3wdp.2
title: HydroGrowNet of Batavia Dataset

description: Over a three-month period, we conducted three consecutive 30-day experiments to monitor Batavia lettuce growth under varying conditions (water temperature, electrical conductivity, and pH). Each day, a dual-camera system traversed the hydroponic channels, capturing high-resolution images of every plant. In total, the dataset contains over 390,000 images, each annotated with environmental and water-quality metadata, forming a robust resource for machine learning–based growth prediction and anomaly detection in hydroponic farming. This data is provided after segmentation of yolo-v8.

The HydroGrowNet dataset is a comprehensive multi-modal dataset designed for hydroponic farming research, particularly for plant growth prediction, anomaly detection, and environmental impact analysis. It integrates sensor-based environmental and water quality measurements with high-resolution plant growth images, providing a rich dataset for machine learning (ML) applications in controlled environment agriculture (CEA).

The dataset was collected from a Nutrient Film Technique (NFT) hydroponic system cultivated with Batavia lettuce (Lactuca sativa L.) over a three-month period. It consists of structured numerical sensor data and unstructured image data, synchronized via timestamps, allowing for detailed growth analysis and fusion-based machine learning applications.
Please check and cite our publication at SSRN: https://dx.doi.org/10.2139/ssrn.5079228

We encourage expanding our dataset by adding more plants growth data other than Batavia lettuce, for more collaboration please contact omar.o.shalash@aast.edu or prof.mail.metwalli@gmail.com or n.abass@plugngrow.me.
DOI: 10.17632/g6cm3v3wdp.3
title: HydroGrowNet of Batavia Dataset

description: Over a three-month period, we conducted three consecutive 30-day experiments to monitor Batavia lettuce growth under varying conditions (water temperature, electrical conductivity, and pH). Each day, a dual-camera system traversed the hydroponic channels, capturing high-resolution images of every plant. In total, the dataset contains over 390,000 images, each annotated with environmental and water-quality metadata, forming a robust resource for machine learning–based growth prediction and anomaly detection in hydroponic farming. This data is provided after segmentation of yolo-v8.

The HydroGrowNet dataset is a comprehensive multi-modal dataset designed for hydroponic farming research, particularly for plant growth prediction, anomaly detection, and environmental impact analysis. It integrates sensor-based environmental and water quality measurements with high-resolution plant growth images, providing a rich dataset for machine learning (ML) applications in controlled environment agriculture (CEA).

The dataset was collected from a Nutrient Film Technique (NFT) hydroponic system cultivated with Batavia lettuce (Lactuca sativa L.) over a three-month period. It consists of structured numerical sensor data and unstructured image data, synchronized via timestamps, allowing for detailed growth analysis and fusion-based machine learning applications.
Please check and cite our publication at SSRN: https://dx.doi.org/10.2139/ssrn.5079228

We encourage expanding our dataset by adding more plants growth data other than Batavia lettuce, for more collaboration please contact omar.o.shalash@aast.edu or prof.mail.metwalli@gmail.com or n.abass@plugngrow.me.
DOI: 10.17632/g6cm3v3wdp.4
title: HydroGrowNet of Batavia Dataset

description: Over a three-month period, we conducted three consecutive 30-day experiments to monitor Batavia lettuce growth under varying conditions (water temperature, electrical conductivity, and pH). Each day, a dual-camera system traversed the hydroponic channels, capturing high-resolution images of every plant. In total, the dataset contains over 390,000 images, each annotated with environmental and water-quality metadata, forming a robust resource for machine learning–based growth prediction and anomaly detection in hydroponic farming. This data is provided after segmentation of yolo-v8.

The HydroGrowNet dataset is a comprehensive multi-modal dataset designed for hydroponic farming research, particularly for plant growth prediction, anomaly detection, and environmental impact analysis. It integrates sensor-based environmental and water quality measurements with high-resolution plant growth images, providing a rich dataset for machine learning (ML) applications in controlled environment agriculture (CEA).

The dataset was collected from a Nutrient Film Technique (NFT) hydroponic system cultivated with Batavia lettuce (Lactuca sativa L.) over a three-month period. It consists of structured numerical sensor data and unstructured image data, synchronized via timestamps, allowing for detailed growth analysis and fusion-based machine learning applications.
Please check and cite our publication at SSRN: https://dx.doi.org/10.2139/ssrn.5079228

We encourage expanding our dataset by adding more plants growth data other than Batavia lettuce, for more collaboration please contact omar.o.shalash@aast.edu or prof.mail.metwalli@gmail.com or n.abass@plugngrow.me.
DOI: 10.17632/v55bvcrtyb.1
title: R Code for Potential effects of fertilization strategies on greenhouse gas emissions from bamboo forest soils

description: This is source R code for Potential effects of fertilization strategies on greenhouse gas emissions from bamboo forest soils, mainly used for meta-analysis.
DOI: 10.17632/c7wvv2h52b.1
title: Impact of Female Condition on Egg size in Lesser Kestrels (Falco naumanni)

description: Data on egg size and body condition of females in the Lesser Kestrel population.
DOI: 10.17632/bbw3frgbh6.1
title: E-commerce drives the agricultural sales performance

description: The research dataset was obtained through a comprehensive survey of citrus cultivators in Ziguixian, Hubei Province,China conducted by the research team in July 2023. Ziguixian is a well-known orange production base in China with a large scale of cultivation, renowned as the “hometown of navel orange”. Ziguixian navel oranges are highly favored in domestic and international markets and have been recognized as a Chinese geographical indication product (Fig. 2). The research team randomly selected two townships, Guojiaba and Shuitianba, from the four largest orange production areas in Ziguixian, and then selected 5-6 villages from each township based on the principle of random stratified sampling. In each village, 30-40 orange growers were selected as interviewees. Before starting to fill out the questionnaire, we read out the ethics approval results of the survey to the respondents. The content of the interview will be recorded in writing, which has also been approved by the farmers. The survey yielded 406 valid responses, including 152 e-commerce-engaged households, representing 37.44% of the samples. This study was approved by the Ethics Committee of Wuhan Institute of Technology(approval number:wit20221109), the interviewee were consented by an informedconsent process that was reviewed by the Ethics Committee of Wuhan Institute of Technology and certify that the study was performed in accordancewith the ethical standards as laid down in the 1964 Declaration of Helsinki.
DOI: 10.17632/4hkw8xw5j3.1
title: LINF_120009800

description: Protein of unknown function - conserved; Leishmania infantum (strain JPCM5)
DOI: 10.17632/fk3fwmsnyc.1
title: LINF_120010400

description: WW domain containing protein; Leishmania infantum (strain JPCM5)
DOI: 10.15468/dl.5tbstn
title: Occurrence Download

description: A dataset containing 976 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Meliosma rigida Siebold & Zucc.",
 "Year is greater than or equal to 1900",
 "HasCoordinate is true"
 ]
}

 The dataset includes 976 records from 46 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0229888-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bmtihw
title: Occurrence Download

description: A dataset containing 10 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-67.26654 18.68268,-67.31598 17.90557,-64.5639 17.64926,-64.52545 17.98918,-64.67926 18.2137,-64.66827 18.55253,-66.39862 18.69308,-67.26654 18.68268))",
 "HasCoordinate is true",
 "TaxonKey is Pouteria dictyoneura (Griseb.) Radlk.",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 10 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005741-181003121212138/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25549/inscriptifact-ouc111305284
title: Monastery of St. John Lampadistis, Ayios Ioannis Lambadhistis Monastery

description: [Text Description:] Complex of 3 churches under one Roof, 11th-18th c. ❧ [Medium:] Stone ❧ [Script Note:] Greek, Non-Text ❧ [Physical Object Description:] Located on east side of stream Setrachos, running along east side of village of Kaopanayiotes. The monastery is a complex of three churches sharing a single pitched roof. Beyond the monastic enclosure is the old schoolhouse, now an icon museum. ❧ [Physical Object Note:] The three churches are: Agios Herakleidios, Ioannis Lampadistis and a Latin Chapel. Agios Herakleidios, built in the 11th c., decorated primarily in 13th c., is a cross-in-square building with four piers supporting a central dome. Ioannis Lamadistis probably built in 1731, on the north side of Herakleidios. No records exist regarding the Latin Chapel. It opens on the north side of the Lampdistis church. A narthex runs along the west side of Herakleidios and Lampadistis. ❧ [Physical Object Note:] In Agios Herakleidios, a few early paintings date to the 12th c. Most of the paintings are 13th c., with a late period series done around 1400. Ioannis Lampadistis contains a reliquary and icon of St. Ioannis (John) Lampadistis. The paintings in the Latin Chapel are Italo-Byzantine; the vaulting is Italianate. The walls north and south are illustrations of the 24 stanzas of the Akathistos Hymn to the Virgin. Some paintings are more Byzantine, others more Italian. ❧
DOI: 10.25549/inscriptifact-ouc111137686
title: Ahiram Sarcophagus, KAI 1, Ahiram Inscription, Ahirom-Inschrift

description: [Text Description:] Royal inscription, burial Inscription ❧ [Text or Publication Number Note:] KAI 1, Gibson 3, II.4 ❧ [Excavation Description:] Found in 1923 by Pierre Montet in the third season of excavations in Byblos ❧ [Medium:] Stone ❧ [Script Note:] Phoenician ❧ [Physical Object Description:] Decorated Limestone Sarcophagus and its lid measuring 152 x 305 cm.
DOI: 10.15468/dl.n1nnks
title: Occurrence Download

description: A dataset containing 70 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Zamia fischeri Miq."
 ]
}

 The dataset includes 70 records from 28 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005654-190415153152247/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wj4u2u
title: Occurrence Download

description: A dataset containing 754 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Laodelphax striatellus (Fallén, 1826)"
 ]
}

 The dataset includes 754 records from 43 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005074-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.03orbn
title: Occurrence Download

description: A dataset containing 135 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Pleione praecox (Sm.) D.Don"
 ]
}

 The dataset includes 135 records from 20 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005758-181003121212138/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2y9gwb
title: Occurrence Download

description: A dataset containing 102 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Isoetes muricata Durieu",
 "HasCoordinate is true"
 ]
}

 The dataset includes 102 records from 17 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0222885-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25549/inscriptifact-ouc111323530
title: Cuneiform Tablet

description: [Text Description:] Cuneiform Tablet, Administrative Tag, with Seal Impressions ❧ [Medium:] Clay ❧ [Script Note:] Cuneiform, Non-Alphabetic ❧ [Physical Object Description:] Clay tablet with cuneiform script, roughly triangular In shape.
DOI: 10.15468/dl.g8j7fg
title: Occurrence Download

description: A dataset containing 23630 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Magallana gigas (Thunberg, 1793)"
 ]
}

 The dataset includes 23630 records from 282 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005726-240314170635999/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jjg8gq
title: Occurrence Download

description: A dataset containing 963 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Mexico",
 "TaxonKey is Cryptotis parva (Say, 1823)"
 ]
}

 The dataset includes 963 records from 51 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005870-190415153152247/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25549/inscriptifact-ouc111323589
title: Cuneiform Tablet

description: [Text Description:] Cuneiform Tablet, Administrative Tag, with Seal Impressions ❧ [Medium:] Clay ❧ [Script Note:] Cuneiform, Non-Alphabetic ❧ [Physical Object Description:] Clay tablet with cuneiform script, roughly triangular In shape.
DOI: 10.15468/dl.y49j04
title: Occurrence Download

description: A dataset containing 16 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Year 1975-2018",
 "HasCoordinate is true",
 "TaxonKey is Gerrhonotus ophiurus Cope, 1867",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 16 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005752-181003121212138/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fmrqzt
title: Occurrence Download

description: A dataset listing the 14146 species recorded in GBIF matching the query:
{
 "and" : [
 "PublishingCountry is Ecuador",
 "TaxonKey is Plantae"
 ]
}

 The dataset's 14146 records were derived from 21 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0222863-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25549/inscriptifact-ouc111323603
title: Cuneiform Tablet

description: [Text Description:] Cuneiform Tablet, Administrative Tag, with Seal Impressions ❧ [Medium:] Clay ❧ [Script Note:] Cuneiform, Non-Alphabetic ❧ [Physical Object Description:] Clay tablet with cuneiform script, roughly triangular In shape.
DOI: 10.15468/dl.7mpnpf
title: Occurrence Download

description: A dataset containing 153 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "BasisOfRecord is Specimen",
 "BasisOfRecord is Fossil",
 "BasisOfRecord is Living Specimen",
 "BasisOfRecord is Observation",
 "BasisOfRecord is Machine Observation",
 "BasisOfRecord is Human Observation"
 ]
 },
 "Year 1000-2019",
 "TaxonKey is Speothos venaticus (Lund, 1842)"
 ]
}

 The dataset includes 153 records from 31 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005862-190415153152247/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.