cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.x3nx4h
title: Occurrence Download

description: A dataset containing 187 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Crocodylus mindorensis Schmidt, 1935"
 ]
}

 The dataset includes 187 records from 22 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0236621-230224095556074/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ejkms8
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Habenaria tomentella Rchb.f."
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0236628-230224095556074/datasets/export for details.
DOI: 10.15468/dl.vsgtwr
title: Occurrence Download

description: A dataset containing 732768162 species occurrences available in GBIF matching the query:
{ }

 The dataset includes 732768162 records from 15908 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0080270-160910150852091/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15430223
title: Pharmaceutical Image Recognition Using Deep Learning

description: Pharmaceutical Image Recognition Using Deep Learning

Project Description:

This project focuses on the automatic identification of pharmaceutical pills using deep learning and computer vision techniques. It addresses the critical issue of medication errors due to misidentification, particularly when pill labels are damaged or missing. The system is built using TensorFlow and Keras, employing Convolutional Neural Networks (CNNs) to detect and classify pills based on their physical features such as color, shape, and size.

A large dataset of pill images—including various types with different angles—is used for training and testing. The project utilizes image pre-processing techniques like normalization, resizing, and data augmentation. Advanced object detection algorithms such as OpenCV’s GrabCut are applied for precise segmentation.

Once a pill image is input via a camera, the model performs real-time identification by matching the image with a pre-trained dataset and retrieves relevant information such as the pill name, composition, dosage, and use cases. The system aims to support pharmacists, visually impaired users, and general patients in safe medicine identification.

This research also explores the integration of this model into mobile or web applications for broader accessibility and includes performance evaluation with accuracy metrics.

Technologies Used:





Python




TensorFlow




Keras




OpenCV




CNN (Convolutional Neural Network)




Image Preprocessing & Augmentation




Pillbox / PIRD Dataset



Key Features:





Real-time pill recognition via camera input




Accurate detection based on shape, color, and size




Dataset-driven training with high accuracy (~91%)




Dashboard displaying drug details and use cases




Potential mobile app integration for broader utility
DOI: 10.5281/zenodo.15430224
title: Pharmaceutical Image Recognition Using Deep Learning

description: Pharmaceutical Image Recognition Using Deep Learning

Project Description:

This project focuses on the automatic identification of pharmaceutical pills using deep learning and computer vision techniques. It addresses the critical issue of medication errors due to misidentification, particularly when pill labels are damaged or missing. The system is built using TensorFlow and Keras, employing Convolutional Neural Networks (CNNs) to detect and classify pills based on their physical features such as color, shape, and size.

A large dataset of pill images—including various types with different angles—is used for training and testing. The project utilizes image pre-processing techniques like normalization, resizing, and data augmentation. Advanced object detection algorithms such as OpenCV’s GrabCut are applied for precise segmentation.

Once a pill image is input via a camera, the model performs real-time identification by matching the image with a pre-trained dataset and retrieves relevant information such as the pill name, composition, dosage, and use cases. The system aims to support pharmacists, visually impaired users, and general patients in safe medicine identification.

This research also explores the integration of this model into mobile or web applications for broader accessibility and includes performance evaluation with accuracy metrics.

Technologies Used:





Python




TensorFlow




Keras




OpenCV




CNN (Convolutional Neural Network)




Image Preprocessing & Augmentation




Pillbox / PIRD Dataset



Key Features:





Real-time pill recognition via camera input




Accurate detection based on shape, color, and size




Dataset-driven training with high accuracy (~91%)




Dashboard displaying drug details and use cases




Potential mobile app integration for broader utility
DOI: 10.5281/zenodo.15428802
title: Mechanistic basis for GPCR phosphorylation-dependent allosteric signaling specificity of β-arrestin 1 and 2

description: This repository contains all essential input files, simulation data, and scripts used in the study. It includes molecular dynamics (MD) simulation files such as the initial coordinates of the systems, topology and parameter files, and MD input files. For dimensionality reduction, the repository provides input files used to reduce the high-dimensional simulation data. In the machine learning classification section, it contains the training and validation datasets, input features used for classification, and scripts for model construction and performance evaluation. Additionally, the repository includes node feature data and scripts for constructing and evaluating the graph neural network (GNN) autoencoder model.
DOI: 10.5281/zenodo.15428803
title: Mechanistic basis for GPCR phosphorylation-dependent allosteric signaling specificity of β-arrestin 1 and 2

description: This repository contains all essential input files, simulation data, and scripts used in the study. It includes molecular dynamics (MD) simulation files such as the initial coordinates of the systems, topology and parameter files, and MD input files. For dimensionality reduction, the repository provides input files used to reduce the high-dimensional simulation data. In the machine learning classification section, it contains the training and validation datasets, input features used for classification, and scripts for model construction and performance evaluation. Additionally, the repository includes node feature data and scripts for constructing and evaluating the graph neural network (GNN) autoencoder model.
DOI: 10.15468/dl.x7r2st
title: Occurrence Download

description: A dataset containing 61 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Boerhavia erecta",
 "Country is Papua New Guinea",
 "HasCoordinate is true"
 ]
}

 The dataset includes 61 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0081350-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ziw8gm
title: Occurrence Download

description: A dataset containing 8 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is (Table 1) Proportion of Toxoplasma gondii seropositive arctic foxes (Alopex lagopus) by age group and geographic area"
 ]
}

 The dataset includes 8 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0077263-160910150852091/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.kbdh8m
title: Occurrence Download

description: A dataset containing 32 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is (Table 1) Proportion of Toxoplasma gondii seropositive arctic foxes (Alopex lagopus) by age group and geographic area"
 ]
}

 The dataset includes 32 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0037448-181108115102211/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8bryg7
title: Occurrence Download

description: A dataset containing 66 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Monomorium liliuokalanii Forel, 1899)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 66 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0072333-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.g2of2f
title: Occurrence Download

description: A dataset containing 8 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is (Table 1) Proportion of Toxoplasma gondii seropositive arctic foxes (Alopex lagopus) by age group and geographic area"
 ]
}

 The dataset includes 8 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0077270-160910150852091/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2cvtmu
title: Occurrence Download

description: A dataset containing 2124951028 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "HasGeospatialIssue is false",
 {
 "not" : {
 "EstablishmentMeans" : [
 "is one of (MANAGED, INTRODUCED, INVASIVE, NATURALISED)"
 ]
 }
 },
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 {
 "not" : {
 "Issue" : [
 "is one of (Taxon match higher rank)"
 ]
 }
 }
 ]
}

 The dataset includes 2124951028 records from 42322 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0356919-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.q87wgq
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Impatiens balsamina",
 "Country is Tonga",
 "HasCoordinate is true"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0082472-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17909/evwk-m381
title: AURORA Survey

description: JWST/NIRSpec observations from the Cycle 1 AURORA Survey.
DOI: 10.15468/dl.xe34hw
title: Occurrence Download

description: A dataset containing 27088 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Stelpaviricetes"
 ]
}

 The dataset includes 27088 records from 16 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010900-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25549/inscriptifact-ouc110600203
title: Persepolis Fortification Aramaic Text 402, PFAT 402

description: [Text Description:] Administrative text with seals PFATS 0387s, PFATS 0004s ❧ [Text or Publication Number Note:] PFAT 402, Bowman 402 ❧ [Excavation Description:] Found during Oriental Institute's excavations in Spring, 1933, near the northeastern corner of the stone platform of Persepolis, in two small rooms of a bastion in the fortification wall ❧ [Medium:] Clay ❧ [Script Note:] Aramaic ❧ [Physical Object Description:] Clay tablet with ink inscription. Seal impressions PFATS 0387s on reverse, PFATS 0004s on flat edge. ❧ [Physical Object Note:] Damage on upper edge, round edge.
DOI: 10.25549/inscriptifact-ouc110597310
title: Persepolis Fortification Aramaic Text 375, PFAT 375

description: [Text Description:] Administrative text with seals PFATS 0363; PFATS 0364. ❧ [Text or Publication Number Note:] PFAT 375, Bowman 375 ❧ [Excavation Description:] Found during Oriental Institute's excavations in Spring, 1933, near the northeastern corner of the stone platform of Persepolis, in two small rooms of a bastion in the fortification wall ❧ [Medium:] Clay ❧ [Script Note:] Aramaic ❧ [Physical Object Description:] Clay tablet with ink inscription. Seal impressions PFATS 0363 on obverse, upper edge, reverse, bottom edge; PFATS 0364 on flat edge.
DOI: 10.25549/inscriptifact-ouc110597296
title: Persepolis Fortification Aramaic Text 374, PFAT 374

description: [Text Description:] Administrative text with seals PFATS 0362; PFS 0319. ❧ [Text or Publication Number Note:] PFAT 374, Bowman 374 ❧ [Excavation Description:] Found during Oriental Institute's excavations in Spring, 1933, near the northeastern corner of the stone platform of Persepolis, in two small rooms of a bastion in the fortification wall ❧ [Medium:] Clay ❧ [Script Note:] Aramaic ❧ [Physical Object Description:] Clay tablet with ink inscription. Seal impressions PFATS 0362 on obverse, bottom edge; PFS 0319 on upper edge, reverse, flat edge.
DOI: 10.25549/inscriptifact-ouc110600193
title: Persepolis Fortification Aramaic Text 402, PFAT 402

description: [Text Description:] Administrative text with seals PFATS 0387s, PFATS 0004s ❧ [Text or Publication Number Note:] PFAT 402, Bowman 402 ❧ [Excavation Description:] Found during Oriental Institute's excavations in Spring, 1933, near the northeastern corner of the stone platform of Persepolis, in two small rooms of a bastion in the fortification wall ❧ [Medium:] Clay ❧ [Script Note:] Aramaic ❧ [Physical Object Description:] Clay tablet with ink inscription. Seal impressions PFATS 0387s on reverse, PFATS 0004s on flat edge. ❧ [Physical Object Note:] Damage on upper edge, round edge.
DOI: 10.25549/inscriptifact-ouc110600192
title: Persepolis Fortification Aramaic Text 402, PFAT 402

description: [Text Description:] Administrative text with seals PFATS 0387s, PFATS 0004s ❧ [Text or Publication Number Note:] PFAT 402, Bowman 402 ❧ [Excavation Description:] Found during Oriental Institute's excavations in Spring, 1933, near the northeastern corner of the stone platform of Persepolis, in two small rooms of a bastion in the fortification wall ❧ [Medium:] Clay ❧ [Script Note:] Aramaic ❧ [Physical Object Description:] Clay tablet with ink inscription. Seal impressions PFATS 0387s on reverse, PFATS 0004s on flat edge. ❧ [Physical Object Note:] Damage on upper edge, round edge.
DOI: 10.25549/inscriptifact-ouc1sto1607980
title: InscriptiFact -- an image database of inscriptions and artifacts

description: The InscriptiFact Collection is designed to allow access via the Internet to high-resolution images of ancient inscriptions and artifacts, primarily from the Near Eastern and Mediterranean Worlds. The targeted inscriptions constitute some of the world’s earliest written records, which are mostly housed in a number of international museums and libraries, as well as field projects where inscriptions still remain in situ. Included, for example, are, selected Dead Sea Scrolls; cuneiform tablets from Mesopotamia, Persia, Canaan and Egypt; early Jewish papyri from Egypt; lapidary inscriptions, primarily from Jordan, Lebanon and Cyprus; inscriptions on a variety of hard media (e.g., ostraca, copper, semi-precious stones, jar handles) mostly written in early Canaanite, Phoenician, Hebrew, Aramaic, Ammonite and Edomite; and much more. These ancient texts are foundational documents that serve as a point of reference for Judaism, Christianity, Islam and the cultures out of which they emerged. The name "InscriptiFact" is intended to convey the concept of a scholarly archive based on "facts" about "inscriptions" and "artifacts." West Semitic Research Project (WSRP) under the auspices of the University of Southern California (USC) is broadly acknowledged as a leader in the application of photographic and digital technologies to capture and analyze data of ancient texts. The West Semitic Research image archive now contains approximately 1,500,000 images. Important! Search terms with more than one word or number need to be enclosed in quotation marks.Guide to Searching InscriptiFact
DOI: 10.25549/inscriptifact-ouc110597288
title: Persepolis Fortification Aramaic Text 374, PFAT 374

description: [Text Description:] Administrative text with seals PFATS 0362; PFS 0319. ❧ [Text or Publication Number Note:] PFAT 374, Bowman 374 ❧ [Excavation Description:] Found during Oriental Institute's excavations in Spring, 1933, near the northeastern corner of the stone platform of Persepolis, in two small rooms of a bastion in the fortification wall ❧ [Medium:] Clay ❧ [Script Note:] Aramaic ❧ [Physical Object Description:] Clay tablet with ink inscription. Seal impressions PFATS 0362 on obverse, bottom edge; PFS 0319 on upper edge, reverse, flat edge.
DOI: 10.25549/inscriptifact-ouc110597543
title: Persepolis Fortification Aramaic Text 385, PFAT 385

description: [Text Description:] Administrative text with illegible seal. ❧ [Text or Publication Number Note:] PFAT 385, Bowman 385 ❧ [Excavation Description:] Found during Oriental Institute's excavations in Spring, 1933, near the northeastern corner of the stone platform of Persepolis, in two small rooms of a bastion in the fortification wall ❧ [Medium:] Clay ❧ [Script Note:] Aramaic ❧ [Physical Object Description:] Clay tablet with ink inscription. Illegible seal impressions on all sides.
DOI: 10.25549/inscriptifact-ouc110597284
title: Persepolis Fortification Aramaic Text 374, PFAT 374

description: [Text Description:] Administrative text with seals PFATS 0362; PFS 0319. ❧ [Text or Publication Number Note:] PFAT 374, Bowman 374 ❧ [Excavation Description:] Found during Oriental Institute's excavations in Spring, 1933, near the northeastern corner of the stone platform of Persepolis, in two small rooms of a bastion in the fortification wall ❧ [Medium:] Clay ❧ [Script Note:] Aramaic ❧ [Physical Object Description:] Clay tablet with ink inscription. Seal impressions PFATS 0362 on obverse, bottom edge; PFS 0319 on upper edge, reverse, flat edge.
DOI: 10.25549/inscriptifact-ouc110597541
title: Persepolis Fortification Aramaic Text 385, PFAT 385

description: [Text Description:] Administrative text with illegible seal. ❧ [Text or Publication Number Note:] PFAT 385, Bowman 385 ❧ [Excavation Description:] Found during Oriental Institute's excavations in Spring, 1933, near the northeastern corner of the stone platform of Persepolis, in two small rooms of a bastion in the fortification wall ❧ [Medium:] Clay ❧ [Script Note:] Aramaic ❧ [Physical Object Description:] Clay tablet with ink inscription. Illegible seal impressions on all sides.
DOI: 10.25549/inscriptifact-ouc110597285
title: Persepolis Fortification Aramaic Text 374, PFAT 374

description: [Text Description:] Administrative text with seals PFATS 0362; PFS 0319. ❧ [Text or Publication Number Note:] PFAT 374, Bowman 374 ❧ [Excavation Description:] Found during Oriental Institute's excavations in Spring, 1933, near the northeastern corner of the stone platform of Persepolis, in two small rooms of a bastion in the fortification wall ❧ [Medium:] Clay ❧ [Script Note:] Aramaic ❧ [Physical Object Description:] Clay tablet with ink inscription. Seal impressions PFATS 0362 on obverse, bottom edge; PFS 0319 on upper edge, reverse, flat edge.
DOI: 10.25549/inscriptifact-ouc110597534
title: Persepolis Fortification Aramaic Text 385, PFAT 385

description: [Text Description:] Administrative text with illegible seal. ❧ [Text or Publication Number Note:] PFAT 385, Bowman 385 ❧ [Excavation Description:] Found during Oriental Institute's excavations in Spring, 1933, near the northeastern corner of the stone platform of Persepolis, in two small rooms of a bastion in the fortification wall ❧ [Medium:] Clay ❧ [Script Note:] Aramaic ❧ [Physical Object Description:] Clay tablet with ink inscription. Illegible seal impressions on all sides.
DOI: 10.25549/inscriptifact-ouc110597283
title: Persepolis Fortification Aramaic Text 374, PFAT 374

description: [Text Description:] Administrative text with seals PFATS 0362; PFS 0319. ❧ [Text or Publication Number Note:] PFAT 374, Bowman 374 ❧ [Excavation Description:] Found during Oriental Institute's excavations in Spring, 1933, near the northeastern corner of the stone platform of Persepolis, in two small rooms of a bastion in the fortification wall ❧ [Medium:] Clay ❧ [Script Note:] Aramaic ❧ [Physical Object Description:] Clay tablet with ink inscription. Seal impressions PFATS 0362 on obverse, bottom edge; PFS 0319 on upper edge, reverse, flat edge.
DOI: 10.25549/inscriptifact-ouc110597533
title: Persepolis Fortification Aramaic Text 384, PFAT 384

description: [Text Description:] Administrative text with seals PFUTS 0109s; PFTS 0372; illeg. ❧ [Text or Publication Number Note:] PFAT 384, Bowman 384 ❧ [Excavation Description:] Found during Oriental Institute's excavations in Spring, 1933, near the northeastern corner of the stone platform of Persepolis, in two small rooms of a bastion in the fortification wall ❧ [Medium:] Clay ❧ [Script Note:] Aramaic ❧ [Physical Object Description:] Clay tablet with ink traces and incised inscription. Seal impressions PFUTS 0109s on upper edge; PFTS 0372 on reverse; illeg. on flat edge.
DOI: 10.15468/dl.yn2cap
title: Occurrence Download

description: A dataset containing 51417 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Graphis scripta (L.) Ach."
 ]
}

 The dataset includes 51417 records from 451 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010227-250415084134356/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7e6mfw
title: Occurrence Download

description: A dataset listing the 663 species recorded in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Occurrence evidence)",
 "GadmGid is COD.15_1",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Plantae"
 ]
}

 The dataset's 663 records were derived from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010232-250415084134356/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gqh847
title: Occurrence Download

description: A dataset containing 412 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Choeroniscus godmani (Thomas, 1903)"
 ]
}

 The dataset includes 412 records from 76 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010239-250415084134356/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.un5czn
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Spain",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Chaenothecopsis vainioana (Nádv.) Tibell"
 ]
}

 The dataset includes 2 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010240-250415084134356/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.