cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.15778193
title: Streamflow datasets from the high-resolution, multiscale, differentiable HBV hydrologic models

description: NEW: This dataset has now been moved from Microsoft OneDrive to an AWS S3 bucket for your convenience in downloading. Please use the download code we provided to pull data from the AWS S3 bucket without login credentials.

This dataset is from the high-resolution, multiscale, differentiable HBV hydrologic models, provided by the Multi-scale Hydrology, Processes, and Intelligence (MHPI) team from The Pennsylvania State University, led by Dr. Chaopeng Shen's group in Hydrologic Deep Learning and Modeling. 

Please cite: Song, Y., Bindas, T., Shen, C., Ji, H., Knoben, W. J. M., Lonzarich, L., et al. (2025). High‐resolution national‐scale water modeling is enhanced by multiscale differentiable physics‐informed machine learning. Water Resources Research, 61, e2024WR038928. https://doi.org/10.1029/2024WR038928

The dataset is generated by High-resolution, multiscale, differentiable HBV hydrologic models, dHBV2.0UH and dHBV2.0dMC.

dHBV2.0UH is a high-resolution, multiscale model that uses unit hydrograph routing.

dHBV2.0dMC is a high-resolution, multiscale model that uses external Muskingum-Cunge routing.

Please use the link in the Readme.docx file to access the dataset. A link to the code for loading the dataset is also provided in Readme.docx.



The dHBV_streamflow_simulation_gages folder includes 40 years (1980–2020) of streamflow simulations at over 7,000 gage stations from GAGES-II, using both dHBV2.0UH and dHBV2.0dMC models. This data is useful for comparison with observations. 




The MERIT_flux_states folder includes 40 years (1980–2020) of spatially seamless simulations of hydrologic variables over 180 thousand MERIT unit basins on CONUS from dHBV2.0UH, including baseflow, evapotranspiration (ET), soil moisture, snow water equivalent, and runoff. 

The dHBV2.0_MERIT_river_network_simulation includes 40 years (1980-2020) of streamflow simulation on seamless MERIT river network by dHBV2.0dMC (New updates!).

The dHBV2.0UH code is available at mhpi/generic_deltaModel: High-resolution differentiable model, 𝛿HBV2.0. https://doi.org/10.5281/zenodo.14827983
DOI: 10.15468/dl.6afsns
title: Occurrence Download

description: A dataset containing 10949 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Myocastor coypus (Molina, 1782)",
 "Country is Netherlands",
 "HasCoordinate is true"
 ]
}

 The dataset includes 10949 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0082226-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.s42cs9
title: Occurrence Download

description: A dataset containing 3 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Myocastor coypus (Molina, 1782)",
 "Country is Tajikistan",
 "HasCoordinate is true"
 ]
}

 The dataset includes 3 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0082230-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3ra3c5
title: Occurrence Download

description: A dataset containing 245 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Ecuador",
 "Geometry POLYGON((-103.99324 -14.10660,-51.00676 -14.10660,-51.00676 7.10660,-103.99324 7.10660,-103.99324 -14.10660))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "PublishingOrg is one of (90fd6680-349f-11d8-aa2d-b8a03c50a862, 8e1a97a0-3ca8-11d9-8439-b8a03c50a862, 746e7e20-037e-42dc-88a1-b179fe1fa944, bc092ff0-02e4-11dc-991f-b8a03c50a862, 33d232b5-5cc2-4521-8bd6-121c5bb41c32, 396d5f30-dea9-11db-8ab4-b8a03c50a862, 6ba9a8cc-513a-4a51-bf93-6f5de8040a96, c0758a16-296b-4ec3-97fd-8a057d9060f3)",
 "TaxonKey is Dorobaea pimpinellifolia (Kunth) B.Nord."
 ]
}

 The dataset includes 245 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0082228-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.s2ckr5
title: Occurrence Download

description: A dataset containing 595898 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Frangula grandifolia (Fisch. & C.A.Mey.) Grubov, Frangula granulosa (Ruiz & Pav.) Grubov, Frangula crenata (Siebold & Zucc.) Miq., Frangula azorica Grubov, Frangula mucronata (Schltdl.) Grubov, Frangula pringlei (Rose) Grubov, Frangula henryi (C.K.Schneid.) Grubov, Frangula dianthes (L.Riley) Grubov, Frangula californica (Eschsch.) A.Gray, Frangula polymorpha Reissek, Frangula caroliniana (Walter) A.Gray, Frangula chimalapensis (R.Fern.) A.Pool, Frangula riojae (Perkins) Grubov, Frangula longipedicellata A.Pool, Frangula capreifolia (Schltdl.) Grubov, Frangula rhododendriphylla (Y.L.Chen & P.K.Chou) H.Yu, H.G.Ye & N.H.Xia, Frangula acuminata (Maguire & Steyerm.) A.Pool, Frangula pubescens (Ruiz & Pav.) Grubov, Frangula hintonii (M.C.Johnst. & L.A.Johnst.) A.Pool, Frangula discolor (Donn.Sm.) Grubov, Frangula sphaerosperma (Sw.) Kartesz & Gandhi, Frangula neblinensis (Maguire & Steyerm.) A.Pool, Frangula circumscissa A.Pool, Frangula lindeniana (Triana) Grubov, Frangula goudotiana (Triana & Planch.) Grubov, Frangula longipes (Merr. & Chun) Grubov, Frangula surotatensis (Gentry) A.Pool, Frangula pendula A.Pool, Frangula chrysophylla Reissek, Frangula ulei (Pilg.) Grubov, Frangula inconspicua A.Pool, Frangula alnus Mill., Frangula oreodendron (L.O.Williams) A.Pool, Frangula longistyla (C.B.Wolf) A.Pool, Frangula betulifolia (Greene) Grubov)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 595898 records from 2256 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0082211-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25549/pcra-c14-207157
title: 1985 - Soviet Constitution
DOI: 10.15468/dl.6ca7m3
title: Occurrence Download

description: A dataset containing 1348465 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Europe",
 "TaxonKey is Squamata"
 ]
}

 The dataset includes 1348465 records from 3217 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0059803-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/9whh6dy5j9.1
title: Urban Digital Twin technologies expert evaluation for Green Spaces and Ecosystems

description: This data-set is a part of study for Building Digital Twin Scientific Conference 2025 titled "Urban Digital Twin Data Requirements and Reference Architecture for Green Spaces and Ecosystems". In this study 8 independent experts evaluated the commonly used technologies such as GIS, photogrammetry, LiDAR, 360 RGB photos, CAD, BIM, Infrared thermography and thermo-photogrammetry in relation to established KPIs for green spaces Urban Digital Twin (UDT). Expert ranking and Kendall's W calculation methodology was adapted to identify the most useful technologies for the UDT.
DOI: 10.17632/9whh6dy5j9.2
title: Urban Digital Twin technologies expert evaluation for Green Spaces and Ecosystems

description: This data-set is a part of study for Building Digital Twin Scientific Conference 2025 titled "Urban Digital Twin Data Requirements and Reference Architecture for Green Spaces and Ecosystems". In this study 8 independent experts evaluated the commonly used technologies such as GIS, photogrammetry, LiDAR, 360 RGB photos, CAD, BIM, Infrared thermography and thermo-photogrammetry in relation to established KPIs for green spaces Urban Digital Twin (UDT). Expert ranking and Kendall's W calculation methodology was adapted to identify the most useful technologies for the UDT.
DOI: 10.17632/t8nmk94n92.1
title: C3aR1 on β cells Enhances β cell Function and Survival to Maintain Glucose Homeostasis

description: Raw western blot images from Figure 1 and 5 from pancreatic islets.
DOI: 10.17632/45djgf3p96.1
title: Black Gram Leaf Image Dataset for Disease Detection in Field Conditions

description: In countries of Southeast Asia, black gram (Vigna mungo) is a popular lentil for its taste, nutrient components, and health benefits. It has different types of uses, which increase its economic significance in the agricultural sector of most South Asian countries. The production of this lentil is troublesome due to its proneness to different kinds of diseases, and these diseases decrease the quality of lentils significantly, which hinders the economic profit of black gram cultivation. This lentil, produced from black gram seed, is also exported to international markets. For this reason, ensuring its sound quality is a crucial task. But leaf diseases are a great threat to its quality and cultivation. To prevent and control leaf diseases, an accurate diagnosis tool is highly important for black gram cultivation, which requires advanced datasets of leaf images.

This dataset is developed for advanced disease detection of black gram, which contains 587 field images of black gram. The size of all leaf images is 1024x1024 pixels, which supports almost all computer vision techniques. These images were captured from cultivation fields of black gram under the direct supervision of a plant pathology expert. Using the Make Sense (https://www.makesense.ai/) software, this dataset was developed by utilizing image annotation. A total of 4771 bounding boxes (rectangular) are present in this dataset, which were manually marked utilizing the Make Sense software. Among 4771 bounding boxes, 976 boxes were for LA (representative of healthy leaf), 2359 boxes for LB (representative of flea beetle damage), and 1436 for LC (representative of yellow mosaic disease) label. Besides disease diagnosis, analysis of leaf diseases can also be performed using this comprehensive dataset, as it contains high-quality images of black gram leaves.

Most of the existing image datasets are developed for the disease classification of black gram leaves. This dataset can be used for disease detection of black gram leaf, where multiple types of diseases can be identified from a single image. This method of disease diagnosis is more efficient than the traditional image classification approach. This dataset can play a crucial role in the advanced diagnosis of black gram leaf, which is highly important for sustainable progress in black gram cultivation.

Dataset Information:
# Size - 70.2 MB (Compressed)
# Size - 71.2 MB (Original Folder)
# Number of images - 587
# Annotation Type - Rectangular bounding boxes
# Total Bounding Boxes - 4771
# Labels - 3
1. LA
2. LB
3. LC
# Annotations Format
1. Single CSV file
2. VOC XML format
3. YOLO format
DOI: 10.17632/hmhrhtytry.1
title: Abuse and Violence Against Older Adults and Their Relationship with Frailty, Depressive Symptoms, and Nutritional Status: A Cross-Sectional Study in Primary Health Care in an Urban Region of Brazil

description: Objective:
To investigate the association between the risk of violence against older adults and factors such as frailty, depressive symptoms, and nutritional status in a population receiving care in Primary Health Care (PHC).
Methods:
This was an observational, cross-sectional, and quantitative study conducted between June 2023 and March 2024 in the municipalities of Santa Cruz and Macaíba, Rio Grande do Norte, Brazil. The study included 323 older adults (≥ 60 years old) registered in the PHC system. Data collection utilized validated instruments, including the Hurt, Insult, Threaten, Scream - Elder Abuse Screening Test (H-S/EAST) to assess violence risk, the Conflict Tactics Scales Form R (CTS-1) for classifying violence situations, the Edmonton Frailty Scale (EFS) for frailty, the Geriatric Depression Scale (GDS-15) for depressive symptoms, and the Mini Nutritional Assessment (MNA) for nutritional status. Statistical analyses included descriptive statistics, chi-square tests, Mann-Whitney U tests, Spearman correlations, and binary logistic regression.
Results:
Among participants, 46.1% were at risk of violence. Absence of verbal aggression, adequate social support, emotional independence, and better functionality were protective factors against violence. Advanced frailty (OR = 2.43), depressive symptoms (OR = 2.49), and malnutrition (OR = 1.52) were significantly associated with the risk of abuse. Logistic regression identified mood (R² = 0.19) and depressive symptoms (R² = 0.19) as the main predictors of violence.
Conclusion:
A significant association was found between the risk of abuse and multidimensional factors, particularly a history of violent situations, frailty, and depressive symptoms.
DOI: 10.17632/hmhrhtytry.2
title: Abuse and Violence Against Older Adults and Their Relationship with Frailty, Depressive Symptoms, and Nutritional Status: A Cross-Sectional Study in Primary Health Care in an Urban Region of Brazil

description: Objective:
To investigate the association between the risk of violence against older adults and factors such as frailty, depressive symptoms, and nutritional status in a population receiving care in Primary Health Care (PHC).
Methods:
This was an observational, cross-sectional, and quantitative study conducted between June 2023 and March 2024 in the municipalities of Santa Cruz and Macaíba, Rio Grande do Norte, Brazil. The study included 323 older adults (≥ 60 years old) registered in the PHC system. Data collection utilized validated instruments, including the Hurt, Insult, Threaten, Scream - Elder Abuse Screening Test (H-S/EAST) to assess violence risk, the Conflict Tactics Scales Form R (CTS-1) for classifying violence situations, the Edmonton Frailty Scale (EFS) for frailty, the Geriatric Depression Scale (GDS-15) for depressive symptoms, and the Mini Nutritional Assessment (MNA) for nutritional status. Statistical analyses included descriptive statistics, chi-square tests, Mann-Whitney U tests, Spearman correlations, and binary logistic regression.
Results:
Among participants, 46.1% were at risk of violence. Absence of verbal aggression, adequate social support, emotional independence, and better functionality were protective factors against violence. Advanced frailty (OR = 2.43), depressive symptoms (OR = 2.49), and malnutrition (OR = 1.52) were significantly associated with the risk of abuse. Logistic regression identified mood (R² = 0.19) and depressive symptoms (R² = 0.19) as the main predictors of violence.
Conclusion:
A significant association was found between the risk of abuse and multidimensional factors, particularly a history of violent situations, frailty, and depressive symptoms.
DOI: 10.17632/hmhrhtytry.3
title: Association between domestic abuse and violence against older adults and frailty, depression, and nutritional status in an urban Brazilian setting

description: Objective:
To investigate the association between the risk of violence against older adults and factors such as frailty, depressive symptoms, and nutritional status in a population receiving care in Primary Health Care (PHC).
Methods:
This was an observational, cross-sectional, and quantitative study conducted between June 2023 and March 2024 in the municipalities of Santa Cruz and Macaíba, Rio Grande do Norte, Brazil. The study included 323 older adults (≥ 60 years old) registered in the PHC system. Data collection utilized validated instruments, including the Hurt, Insult, Threaten, Scream - Elder Abuse Screening Test (H-S/EAST) to assess violence risk, the Conflict Tactics Scales Form R (CTS-1) for classifying violence situations, the Edmonton Frailty Scale (EFS) for frailty, the Geriatric Depression Scale (GDS-15) for depressive symptoms, and the Mini Nutritional Assessment (MNA) for nutritional status. Statistical analyses included descriptive statistics, chi-square tests, Mann-Whitney U tests, Spearman correlations, and binary logistic regression.
Results:
Among participants, 46.1% were at risk of violence. Absence of verbal aggression, adequate social support, emotional independence, and better functionality were protective factors against violence. Advanced frailty (OR = 2.43), depressive symptoms (OR = 2.49), and malnutrition (OR = 1.52) were significantly associated with the risk of abuse. Logistic regression identified mood (R² = 0.19) and depressive symptoms (R² = 0.19) as the main predictors of violence.
Conclusion:
A significant association was found between the risk of abuse and multidimensional factors, particularly a history of violent situations, frailty, and depressive symptoms.
DOI: 10.5281/zenodo.15090733
title: SUPPLEMENTARY MATERIALS: Metallurgical and Metallographic Analysis of Late Bronze Age Spearheads from Velké Bílovice (CZ)

description: The dataset comprises analytical data from the metallurgical and metallographic examination of two Late Bronze Age spearheads discovered in Velké Bílovice, Czech Republic. The dataset is for the paper Metallurgical and Metallographic Analysis of Late Bronze Age Spearheads from Velké Bílovice (CZ). The research was conducted within the project Ready for the future: understanding long-term resilience of the human culture (CZ.02.01.01/00/22_008/0004593).

Havlíková, M., Msallamová, Š. Metallurgical and Metallographic Analysis of Late Bronze Age Spearheads from Velké Bílovice (CZ). Metallogr. Microstruct. Anal. (2025). https://doi.org/10.1007/s13632-025-01190-6
DOI: 10.5281/zenodo.15090734
title: SUPPLEMENTARY MATERIALS: Metallurgical and Metallographic Analysis of Late Bronze Age Spearheads from Velké Bílovice (CZ)

description: The dataset comprises analytical data from the metallurgical and metallographic examination of two Late Bronze Age spearheads discovered in Velké Bílovice, Czech Republic. The dataset is for the paper Metallurgical and Metallographic Analysis of Late Bronze Age Spearheads from Velké Bílovice (CZ). The research was conducted within the project Ready for the future: understanding long-term resilience of the human culture (CZ.02.01.01/00/22_008/0004593).

Havlíková, M., Msallamová, Š. Metallurgical and Metallographic Analysis of Late Bronze Age Spearheads from Velké Bílovice (CZ). Metallogr. Microstruct. Anal. (2025). https://doi.org/10.1007/s13632-025-01190-6
DOI: 10.17632/3nn5t35j8s.1
title: Data for: Voltage imaging reveals circuit computations in the raphe underlying serotonin-mediated motor vigor learning

description: This is the data repo for manuscript, Voltage imaging reveals circuit computations in the raphe underlying serotonin-mediated motor vigor learning (https://www.biorxiv.org/content/10.1101/2024.09.15.613083v1).
DOI: 10.48328/tudatalib-1714
title: Crosskonkordanz zwischen DFG-Fächern 2024 und DNB-Sachgruppen

description: Die Crosskonkordanz bildet die Fächer der Fachsystematik der Deutschen Forschungsgemeinschaft (DFG) (Stand 2024-2028) auf die DDC-Sachgruppen (Stand 2004) ab, wie sie in der Deutschen Nationalbibliografie (DNB) verwendet werden. <br> <br> Diese Konkordanz ist gedacht für die automatisierte Zuordnung von Ressourcen, die nach dem einen System erschlossen sind, zum jeweils anderen System. Diese Zuordnungen sind nicht eins-zu-eins möglich, insbesondere da die DNB-Sachgruppen meist weniger differenziert sind als die DFG-Fächer. <br> <br> Nützlich ist die Crosskonkordanz vor allem für eine Zuordnung von nach DFG-Fächern klassifizierten Ressourcen zu den DNB-Sachgruppen, wie sie z.B. vom DINI-Zertifikat gefordert wird. <br> <br> Die Crosskonkordanz liegt in den Dateiformaten .csv (beide Richtungen) und .xlsx sowie .json (von DFG auf DNB) vor. Ein Vorschlag zur Überführung von Fächern aus der DFG-Klassifikation 2020-2024 in die Klassifikation 2024-2028 ist enthalten.
DOI: 10.17632/47g8xgcsrm.1
title: SmartFocus Intervention Repeated MANOVA

description: Ten mean score as combined dependent variables. Perceived attention problems ( PAD, SMN, LT), Self regulated strategy (BS, MS), Online Vigilance (SA, RE, MO), Media multitasking efficacy, MSLQ_Time and Study Environment, demographics. At three time points, T1: baseline, T2, after in-person training, T3, after completing 7-day journaling. Journaling Dataset.
DOI: 10.48328/tudatalib-1715
title: Mapping der DFG-Fachsystematik (2024-2028) auf die Destatis Personal- und Stellenstatistik (2023)

description: Das Mapping bildet die Fächer der Fachsystematik der Deutschen Forschungsgemeinschaft (DFG) (Stand 2024-2028) auf die Klassifikation der Destatis Personal und Stellenstatistik an Hochschulen (Stand 2023) ab. <br> <br> Diese Konkordanz ist gedacht für die automatisierte Zuordnung von Ressourcen, die nach dem einen System erschlossen sind, zum jeweils anderen System. Diese Zuordnungen sind nicht eins-zu-eins möglich, da sich die Differenzierung der beiden Klassifikationen unterscheidet. <br> <br> Ein möglicher Anwendungsfall ist die Überführung von DFG Fächern im Rahmen eines Forschungsinformationssystem (FIS) in die entsprechenden Destatis Stellen. <br> <br> Die Crosskonkordanz liegt in den Dateiformaten .csv und .xlsx vor.
DOI: 10.17632/dchsttk34c.1
title: REFLEXIONES SOBRE LOS ACUERDOS DE LICENCIAMIENTO DE SOFTWARE EN LA COMUNIDAD ANDINA

description: Este working paper analiza los acuerdos de licenciamiento de software en la Comunidad Andina (CAN), integrada por Colombia, Ecuador, Perú y Bolivia, se destaca que estos acuerdos , al carecer de estandarización normativa, son contratos atípicos que requieren atención especial para garantizar la explotación adecuada de las obras protegidas. La CAN cuenta con un régimen común de derechos de autor, establecido en la Decisión 351 de 1993, que incluye al software como obra literaria protegida. Cada país miembro de la CAN ha armonizado su legislación local con esta Decisión, aunque conserva autonomía para resolver conflictos. Colombia, Ecuador, Perú y Bolivia reconocen el software bajo el régimen de derechos de autor, pero se señala la necesidad de leyes procedimentales comunes para resolver disputas de manera efectiva. El estudio concluye que, aunque existe protección jurídica, se requieren mecanismos más eficientes para fortalecer el licenciamiento de software en la región.
DOI: 10.17632/bdcmkzzn6s.1
title: REFLECTIONS ON SOFTWARE LICENSING AGREEMENTS IN THE ANDEAN COMMUNITY

description: This working paper examines software licensing agreements in the Andean Community (CAN), comprising Colombia, Ecuador, Peru, and Bolivia. It highlights that these agreements, lacking normative standardization, constitute atypical contracts requiring special attention to ensure proper exploitation of protected works. The CAN operates under a common copyright framework established by Decision 351 (1993), which recognizes software as protected literary works.

While each CAN member state has harmonized its national legislation with this Decision, they retain autonomy in dispute resolution. All four countries recognize software under copyright regimes but acknowledge the need for common procedural laws to effectively resolve conflicts. The study concludes that despite existing legal protections, more efficient mechanisms are required to strengthen software licensing frameworks across the region.
DOI: 10.17632/pk2tsjmrxc.1
title: Sedimentation of Arctic Ocean and Nordic Sea

description: sedimentation rates of circum Arctic Ocean since the Late Pleistocene
DOI: 10.17632/tmt7p5bf6p.1
title: Using a multi-variate model to intuitively understand magnitude of effect size

description: The age-stratified mortality (all-cause deaths) in the monitored population in China in 2020
DOI: 10.17632/tmt7p5bf6p.2
title: Using a multi-variate model to intuitively understand magnitude of effect size

description: The age-stratified mortality (all-cause deaths) in the monitored population in China in 2020