cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.17699926
title: Table 2 in The ichthyofauna of upper rio Capivari: defining conservation strategies based on the composition and distribution of fish species

description: Table 2. Recorded species in the region of upper Capivari River (*exotic species; SP - proposed State Park, EPA - proposed Environmental Protection Area; O - outside the proposed conservation areas).
Species / OccurrenceSPEPAOOrder CharaciformesAnostomidaeLeporellus vittatus (Valenciennes, 1850)xxLeporinus amblyrhynchus Garavello & Britski, 1987xLeporinus paranensis Garavello & Britski, 1987xLeporinus sp.CharacidaeAstyanax altiparanae Garutti & Britski, 2000xxAstyanax fasciatus (Cuvier, 1819)xxxAstyanax aff. scabripinnis (Jenyns, 1842)xxxBrycon nattereri Günther, 1864xOdontostilbe sp.xPiabina argentea Reinhardt, 1867xSalminus hilarii Valenciennes, 1850xSerrapinnus sp.xCrenuchidaeCharacidium gomesi Travassos, 1956xxCharacidium zebra Eigenmann, 1909xCharacidium sp.xCurimatidaexSteindachnerina insculpta (Fernández-Yépez, 1948)xHerythrinidaeHoplias malabaricus (Bloch, 1794)xParodontidaeApareiodon affinis (Steindachner, 1879)xApareiodon ibitiensis Amaral Campos, 1944xParodon nasus Kner, 1859xOrder CyprinodontiformesPoeciliidaePhalloceros harpagos Lucinda, 2008xPoecilia reticulata Peters, 1859 *xOrder GymnotiformesSternopygidaeEigenmannia virescens (Valenciennes, 1836)xOrder PerciformesCichlidaeCichlasoma aff. facetum (Jenyns, 1842)xxTilapia rendalli (Boulenger, 1897) *xGeophagus brasiliensis (Quoy & Gaimard, 1824)xxOrder SiluriformesHeptapteridaeCetopsorhamdia iheringi Schubart & Gomes, 1959xxHeptapterus sp.xRhamdia quelen (Quoy & Gaimard, 1824)xLoricariidaeHypostomus sp. 1xxxHypostomus sp. 2xxxHypostomus sp. 3xNeoplecostomus paranensis Langeani, 1990xxxNeoplecostomus sp. 2xPareiorhaphis sp.xxPareiorhina carrancas Bockmann & Ribeiro, 2003xxxPimelodidaeIheringichthys labrosus (Lütken, 1874)xPimelodus heraldoi Azpelicueta, 2001xPimelodus maculatus Lacepède, 1803xTrichomycteridaeTrichomycterus brasiliensis Lütken, 1874xxxTrichomycterus aff. itatiayae Miranda Ribeiro, 1906xxx
description: Published as part of Pompeu, Paulo dos Santos, Reis, Liana Sisi dos, Gandini, Cíntia Veloso, Souza, Rafael Couto Rosa de & Favero, Jana Menegassi del, 2009, The ichthyofauna of upper rio Capivari: defining conservation strategies based on the composition and distribution of fish species, pp. 663 in Neotropical Ichthyology 7 (4) on page 663, DOI: 10.1590/s1679-62252009000400015, http://zenodo.org/record/17699870
DOI: 10.5281/zenodo.17699680
title: Species composition of the ichthyofauna of the ZNPP cooling reservoir, summer–autumn 2021.

description: The species composition of the ichthyofauna of the cooling reservoir of the Zaporizka Nuclear Power Plant as of 2021 is presented. Indigenous fish species and those accidentally or intentionally introduced are listed.
DOI: 10.5281/zenodo.17699681
title: Species composition of the ichthyofauna of the ZNPP cooling reservoir, summer–autumn 2021.

description: The species composition of the ichthyofauna of the cooling reservoir of the Zaporizka Nuclear Power Plant as of 2021 is presented. Indigenous fish species and those accidentally or intentionally introduced are listed.
DOI: 10.5281/zenodo.17699927
title: Table 3 in The ichthyofauna of upper rio Capivari: defining conservation strategies based on the composition and distribution of fish species

description: Table 3. Results of Canonical Correspondence Analyses (CCA) of fish abundance and environmental variable.
Variable / Axis1234Altitude-0.53-0.010.280.38Width0.800.080.280.01pH-0.080.14-0.550.04Temperature0.170.36-0.170.14Dissolved oxygen-0.080.65-0.19-0.19Conservation-0.550.060.43-0.64
Eigenvalues 0.481 0.226 0.214 0.101 Percentual cumulative variation 42.6 20.1 19.0 8.9 Species / Variable correlation 0.872 0.692 0.763 0.557
description: Published as part of Pompeu, Paulo dos Santos, Reis, Liana Sisi dos, Gandini, Cíntia Veloso, Souza, Rafael Couto Rosa de & Favero, Jana Menegassi del, 2009, The ichthyofauna of upper rio Capivari: defining conservation strategies based on the composition and distribution of fish species, pp. 665 in Neotropical Ichthyology 7 (4) on page 665, DOI: 10.1590/s1679-62252009000400015, http://zenodo.org/record/17699870
DOI: 10.5281/zenodo.17699928
title: Table 3 in The ichthyofauna of upper rio Capivari: defining conservation strategies based on the composition and distribution of fish species

description: Table 3. Results of Canonical Correspondence Analyses (CCA) of fish abundance and environmental variable.
Variable / Axis1234Altitude-0.53-0.010.280.38Width0.800.080.280.01pH-0.080.14-0.550.04Temperature0.170.36-0.170.14Dissolved oxygen-0.080.65-0.19-0.19Conservation-0.550.060.43-0.64
Eigenvalues 0.481 0.226 0.214 0.101 Percentual cumulative variation 42.6 20.1 19.0 8.9 Species / Variable correlation 0.872 0.692 0.763 0.557
description: Published as part of Pompeu, Paulo dos Santos, Reis, Liana Sisi dos, Gandini, Cíntia Veloso, Souza, Rafael Couto Rosa de & Favero, Jana Menegassi del, 2009, The ichthyofauna of upper rio Capivari: defining conservation strategies based on the composition and distribution of fish species, pp. 665 in Neotropical Ichthyology 7 (4) on page 665, DOI: 10.1590/s1679-62252009000400015, http://zenodo.org/record/17699870
DOI: 10.15468/dl.22t4g5
title: Occurrence Download

description: A dataset containing 992 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 drummondii"
 ]
}

 The dataset includes 992 records from 19 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005688-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/bgwfsszs98
title: ChiliSet: A Visual Data Set of Chili Seed Varieties in Bangladesh to be used in a study and Smart Farming

description: This data set provides 1,394 high-resolution pictures of three popular varieties of chili seeds in Bangladesh. The photographs were taken in local markets in the period between July and August 2025 to get fresh and representative samples of seeds. The three types that were in the dataset are :
Kalo Morich (Kalo): 477 images
Bombai Morich (Bombai): 463 images
Bogurar Jhal Morich (Bogura): 454 images

The photos were taken in the RAW format with the aid of various smartphone camera models. This was so as to provide variation in the quality of the device and a natural range of lighting and color differences. The seeds were captured in varying light settings and in a range of background types to enhance dataset diversity and strength to carry out machine learning tasks.

All RAW files after collection were standardized and processed. The steps included:

Resizing images to 1024 × 1024 pixels

Converting to JPG format

Facilitating readability, uniform framing, and appearance of seed shapes and textures.

Eliminating blurred/duplicate photos.
DOI: 10.17632/bgwfsszs98.1
title: ChiliSet: A Visual Data Set of Chili Seed Varieties in Bangladesh to be used in a study and Smart Farming

description: This data set provides 1,394 high-resolution pictures of three popular varieties of chili seeds in Bangladesh. The photographs were taken in local markets in the period between July and August 2025 to get fresh and representative samples of seeds. The three types that were in the dataset are :
Kalo Morich (Kalo): 477 images
Bombai Morich (Bombai): 463 images
Bogurar Jhal Morich (Bogura): 454 images

The photos were taken in the RAW format with the aid of various smartphone camera models. This was so as to provide variation in the quality of the device and a natural range of lighting and color differences. The seeds were captured in varying light settings and in a range of background types to enhance dataset diversity and strength to carry out machine learning tasks.

All RAW files after collection were standardized and processed. The steps included:

Resizing images to 1024 × 1024 pixels

Converting to JPG format

Facilitating readability, uniform framing, and appearance of seed shapes and textures.

Eliminating blurred/duplicate photos.
DOI: 10.17632/6wyxbhc5tt
title: ChickenData: A dataset for eight common market chicken breed identifications in Bangladesh

description: This data set will be having about 550 images of chicken of eight different breeds of chickens that are usual in Bangladesh. All of the breeds contain around 70 pictures, taken in various places such as Dhaka, Narayanganj, Gazipur and Rajshahi to guarantee variety of the environment, posture, and lighting conditions.

Included Chicken Breeds

The data includes the following eight categories:
Broiler
Sonali
Layer
Deshi Female
Deshi Male
Pakistani
Kashi
Tiger

Dataset Structure:
All data is arranged within a single root folder, which is called Chicken_Dataset. Under this root folder, the chicken breeds would have their own folders, and they would be labeled based on the breed name. Each of the folders has JPG pictures of that particular breed.
Folder Layout Example:
Chicken_Dataset/
│
├── Broiler/
│ ├── Broiler (1).jpg
│ ├── Broiler (2).jpg
│ └── ...
│
├── Deshi_Female/
│ ├── Deshi_female (1).jpg
│ ├── Deshi_female (2).jpg
│ └── ...
│
├── Deshi_Male/
│ ├── Deshi_male (1).jpg
│ ├── Deshi_male (2).jpg
│ └── ...
│
├── Layer/
│ ├── Layer (1).jpg
│ ├── Layer (2).jpg
│ └── ...
│
├── Pakistani/
│ ├── Pakistani (1).jpg
│ ├── Pakistani (2).jpg
│ └── ...
│
├── Sonali/
│ ├── Sonali (1).jpg
│ ├── Sonali (2).jpg
│ └── ...
│
├── Khashi/
│ ├── Khashi (1).jpg
│ ├── Khashi (2).jpg
│ └── ...
│
└── Tiger/
 ├── Tiger (1).jpg
 ├── Tiger (2).jpg
 └── ...
DOI: 10.17632/6wyxbhc5tt.1
title: ChickenData: A dataset for eight common market chicken breed identifications in Bangladesh

description: This data set will be having about 550 images of chicken of eight different breeds of chickens that are usual in Bangladesh. All of the breeds contain around 70 pictures, taken in various places such as Dhaka, Narayanganj, Gazipur and Rajshahi to guarantee variety of the environment, posture, and lighting conditions.

Included Chicken Breeds

The data includes the following eight categories:
Broiler
Sonali
Layer
Deshi Female
Deshi Male
Pakistani
Kashi
Tiger

Dataset Structure:
All data is arranged within a single root folder, which is called Chicken_Dataset. Under this root folder, the chicken breeds would have their own folders, and they would be labeled based on the breed name. Each of the folders has JPG pictures of that particular breed.
Folder Layout Example:
Chicken_Dataset/
│
├── Broiler/
│ ├── Broiler (1).jpg
│ ├── Broiler (2).jpg
│ └── ...
│
├── Deshi_Female/
│ ├── Deshi_female (1).jpg
│ ├── Deshi_female (2).jpg
│ └── ...
│
├── Deshi_Male/
│ ├── Deshi_male (1).jpg
│ ├── Deshi_male (2).jpg
│ └── ...
│
├── Layer/
│ ├── Layer (1).jpg
│ ├── Layer (2).jpg
│ └── ...
│
├── Pakistani/
│ ├── Pakistani (1).jpg
│ ├── Pakistani (2).jpg
│ └── ...
│
├── Sonali/
│ ├── Sonali (1).jpg
│ ├── Sonali (2).jpg
│ └── ...
│
├── Khashi/
│ ├── Khashi (1).jpg
│ ├── Khashi (2).jpg
│ └── ...
│
└── Tiger/
 ├── Tiger (1).jpg
 ├── Tiger (2).jpg
 └── ...
DOI: 10.15468/dl.bgn9cm
title: Occurrence Download

description: A dataset containing 30513 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 stricta"
 ]
}

 The dataset includes 30513 records from 139 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005689-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/pytpfbw6w9
title: Dataset of Smartphone-Captured Images for Classifying Water Droplets on Eyewear Lenses

description: To aid in the development of machine learning systems for evaluating the state of eyeglass lenses, the ClearLens dataset provides 240 high-resolution photos. Providing a solid basis for developing algorithms that can differentiate between lenses that are dry and those impacted by water droplets is the goal of this collection.
Although this type of data is frequently hard to come by it is essential for creating models that function consistently outside of carefully monitored lab environments. All photos were taken with smartphone cameras to guarantee their practical relevance and to represent the conditions of daily use. To include a broad range of lighting and backgrounds, the photos were taken in a number of settings, including outdoor spaces, automobile interiors, and standard indoor rooms. Models that can generalize across various eyewear types are made possible by the dataset's inclusion of a variety of eyewear styles, including sunglasses and daily prescription lenses.
A key feature of this dataset is its balanced design, with an equal number of examples for each class to support the training of unbiased models.
DOI: 10.17632/pytpfbw6w9.1
title: Dataset of Smartphone-Captured Images for Classifying Water Droplets on Eyewear Lenses

description: To aid in the development of machine learning systems for evaluating the state of eyeglass lenses, the ClearLens dataset provides 240 high-resolution photos. Providing a solid basis for developing algorithms that can differentiate between lenses that are dry and those impacted by water droplets is the goal of this collection.
Although this type of data is frequently hard to come by it is essential for creating models that function consistently outside of carefully monitored lab environments. All photos were taken with smartphone cameras to guarantee their practical relevance and to represent the conditions of daily use. To include a broad range of lighting and backgrounds, the photos were taken in a number of settings, including outdoor spaces, automobile interiors, and standard indoor rooms. Models that can generalize across various eyewear types are made possible by the dataset's inclusion of a variety of eyewear styles, including sunglasses and daily prescription lenses.
A key feature of this dataset is its balanced design, with an equal number of examples for each class to support the training of unbiased models.
DOI: 10.17632/pyc29mgtb8
title: Highly Parameterized openLCA Model of a Novel Carbon-Negative BECCS Power Plant

description: Biomass co-firing with carbon capture and storage is a promising avenue for producing carbon negative power. This work shows the final iteration of a midpoint attributional lifecycle assessment (LCA) on the front-end engineering design (FEED) stage of a plant which combusts forest residue biomass, waste coal product, and virgin coal to produce power. The LCA was performed in accordance with the 21st century power plant (21CPP) initiative and extends upon work performed by (Bennett et al. 2023), wherein the global warming potential of an initial plant design was assessed during a pre-FEED study. LCA was integrated into plant design from an early stage to identify environmental hot-spots, inform design decisions, and identify the fraction of biomass which must be fired to achieve a carbon negative footprint. The final plant design uses a novel combination of pressurized fluidized bed combustors (PFBCs) and an atmospheric fluidized bed biomass boiler to achieve targeted efficiency and electricity generation goals. The proposed plant generates -70 to -100 gCO2eq/kWh produced (depending on the biomass process unit used), when 20% forest residue biomass is fired on an energy basis, and virgin coal is mixed with waste coal on a 50% mass basis.
DOI: 10.17632/pyc29mgtb8.3
title: Highly Parameterized openLCA Model of a Novel Carbon-Negative BECCS Power Plant

description: Biomass co-firing with carbon capture and storage is a promising avenue for producing carbon negative power. This work shows the final iteration of a midpoint attributional lifecycle assessment (LCA) on the front-end engineering design (FEED) stage of a plant which combusts forest residue biomass, waste coal product, and virgin coal to produce power. The LCA was performed in accordance with the 21st century power plant (21CPP) initiative and extends upon work performed by (Bennett et al. 2023), wherein the global warming potential of an initial plant design was assessed during a pre-FEED study. LCA was integrated into plant design from an early stage to identify environmental hot-spots, inform design decisions, and identify the fraction of biomass which must be fired to achieve a carbon negative footprint. The final plant design uses a novel combination of pressurized fluidized bed combustors (PFBCs) and an atmospheric fluidized bed biomass boiler to achieve targeted efficiency and electricity generation goals. The proposed plant generates -70 to -100 gCO2eq/kWh produced (depending on the biomass process unit used), when 20% forest residue biomass is fired on an energy basis, and virgin coal is mixed with waste coal on a 50% mass basis.
DOI: 10.5281/zenodo.15083790
title: MCV-Intention: A Multimodalities and Cross-View Dataset for Human Assembly Intention Recognition

description: The MCV-Intention dataset—a multimodalities, cross-view dataset is designed for assembly scene understanding. Collected from 15 subjects, each assembly sequence encompasses six modalities and two views, capturing data from operators both before and after training. In this letter, we first outline the dataset collection process, detailing the hardware and software systems as well as the assembly objects involved. Subsequently, we present a comprehensive annotation protocol for assembly intention recognition and describe the development of a flexible annotation software tool to support this process.  The paper related this dataset is published "MCV-Intention: A Multimodalities and Cross-View Dataset for Human Assembly Intention Recognition". If you want to use our dataset, please cite:Ma, D., Zhang, C., Xu, Q. et al. MCV-Intention: A Multimodalities and Cross-View Dataset for Human Assembly Intention Recognition. Sci Data 12, 1784 (2025). https://doi.org/10.1038/s41597-025-06063-9
DOI: 10.5281/zenodo.15083791
title: MCV-Intention: A Multimodalities and Cross-View Dataset for Human Assembly Intention Recognition

description: The MCV-Intention dataset—a multimodalities, cross-view dataset is designed for assembly scene understanding. Collected from 15 subjects, each assembly sequence encompasses six modalities and two views, capturing data from operators both before and after training. In this letter, we first outline the dataset collection process, detailing the hardware and software systems as well as the assembly objects involved. Subsequently, we present a comprehensive annotation protocol for assembly intention recognition and describe the development of a flexible annotation software tool to support this process.  The paper related this dataset is published "MCV-Intention: A Multimodalities and Cross-View Dataset for Human Assembly Intention Recognition". If you want to use our dataset, please cite:Ma, D., Zhang, C., Xu, Q. et al. MCV-Intention: A Multimodalities and Cross-View Dataset for Human Assembly Intention Recognition. Sci Data 12, 1784 (2025). https://doi.org/10.1038/s41597-025-06063-9
DOI: 10.15468/dl.j5bz9x
title: Occurrence Download

description: A dataset containing 22635 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Inner Oslofjorden Phytoplankton Database"
 ]
}

 The dataset includes 22635 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005690-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/3kgkptv383
title: Factors associated with frailty in older adults in a hospital unit

description: This is a cross-sectional, descriptive-analytical study conducted in a public hospital in the Extreme South of Bahia, with a sample of 158 older adults admitted to the medical and surgical clinics. Data were collected between July 2024 and February 2025, including sociodemographic, clinical, and functional variables.
DOI: 10.17632/3kgkptv383.1
title: Factors associated with frailty in older adults in a hospital unit

description: This is a cross-sectional, descriptive-analytical study conducted in a public hospital in the Extreme South of Bahia, with a sample of 158 older adults admitted to the medical and surgical clinics. Data were collected between July 2024 and February 2025, including sociodemographic, clinical, and functional variables.
DOI: 10.17632/sm6sx6pzyj.1
title: Effectiveness of Dexmedetomidine versus Sufentanil on Cerebral Oxygen Saturation of Traumatic Brain Injury Patients

description: This research determine the effectiveness of dexmedetomidine against brain regional saturation (rSO2) in patients with TBI undergoing surgery. The finding of this research conclude that TBI patients who received dexmedetomidine had significantly higher rSO2 values at 1 hour and 2 hours postoperatively and showed a significant increase in rSO2 values at each measurement time compared to patients who received sufentanil.
DOI: 10.15468/dl.2bxqcp
title: Occurrence Download

description: A dataset containing 758 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Machine Observation, Specimen)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Opuntia elata"
 ]
}

 The dataset includes 758 records from 16 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005691-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/n8fnmb89jr.1
title: Enhancing Mechanical Properties of Epoxy with Graphene Quantum Dots: A Molecular Dynamics Study

description: This data inlcudes the MD modeling and simulation data for enhancing the mechanical properties of epoxy with graphene quantum dots. MD simulations are performed with the LAMMPS software. Fixed-bond class-2 forcefield called IFF was utilized for MD simulations. Tensile test results of MD simulations are analyzed using LUNAR developed by Josh Kemppainen at CMMR Lab, Michigan Technological University.
DOI: 10.17632/htf9g6dw78
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.