cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.x62r2x
title: Occurrence Download

description: A dataset containing 89816 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Mantis religiosa (Linne, 1758)"
 ]
}

 The dataset includes 89816 records from 1791 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015274-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.13946239
title: (13)-Netschitailo2025A-DS0002 – Apis mellifera embryo injected with mEmerald-labeled anti-actin nanobody-encoding mRNA long-term live imaging dataset of embryonic development acquired with light sheet fluorescence microscopy

description: (13)-Netschitailo2025A-DS0002 – Apis mellifera embryo injected with mEmerald-labeled anti-actin nanobody-encoding mRNA long-term live imaging dataset of embryonic development acquired with light sheet fluorescence microscopy
DOI: 10.5281/zenodo.13946238
title: (13)-Netschitailo2025A-DS0002 – Apis mellifera embryo injected with mEmerald-labeled anti-actin nanobody-encoding mRNA long-term live imaging dataset of embryonic development acquired with light sheet fluorescence microscopy

description: (13)-Netschitailo2025A-DS0002 – Apis mellifera embryo injected with mEmerald-labeled anti-actin nanobody-encoding mRNA long-term live imaging dataset of embryonic development acquired with light sheet fluorescence microscopy
DOI: 10.15468/dl.4383m9
title: Occurrence Download

description: A dataset containing 375 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "TaxonKey is one of (Deutzia schneideriana)"
 ]
}

 The dataset includes 375 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020640-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17203779
title: Design and optimization of a cryptocurrency trading prediction model using the CryptaSense and Q-Learning systems along with calculation and application of the reward coefficient

description: This project focuses on designing and optimizing a cryptocurrency trading prediction model by integrating CryptaSense and Q-Learning systems, enhanced by a tailored reward mechanism. CryptaSense serves as a sophisticated data-sensing tool, capturing real-time market signals such as price movements, trading volumes, and sentiment from social platforms or blockchain metrics. This ensures the model receives accurate and comprehensive inputs to navigate the volatile cryptocurrency market effectively.

The Q-Learning component, a reinforcement learning approach, acts as the decision-making core. It trains an agent to make optimal trading decisions—buy, sell, or hold—by simulating various market scenarios. The agent learns from historical and live data, adapting its strategies to maximize profits while balancing risk and exploration of new opportunities. This adaptive learning process allows the model to evolve with changing market conditions.

A key feature of the model is its reward mechanism, which evaluates trading outcomes based on profit, volume, and associated costs. This reward system guides the Q-Learning algorithm to refine its strategies iteratively. The model is rigorously tested using historical data and benchmarked against standard trading strategies to ensure robustness. For practical use, it can be deployed as a trading bot with built-in risk management to handle the unpredictability of cryptocurrency markets, offering a dynamic and data-driven solution for traders.
DOI: 10.5281/zenodo.17203777
title: Design and optimization of a cryptocurrency trading prediction model using the CryptaSense and Q-Learning systems along with calculation and application of the reward coefficient

description: This project focuses on designing and optimizing a cryptocurrency trading prediction model by integrating CryptaSense and Q-Learning systems, enhanced by a tailored reward mechanism. CryptaSense serves as a sophisticated data-sensing tool, capturing real-time market signals such as price movements, trading volumes, and sentiment from social platforms or blockchain metrics. This ensures the model receives accurate and comprehensive inputs to navigate the volatile cryptocurrency market effectively.

The Q-Learning component, a reinforcement learning approach, acts as the decision-making core. It trains an agent to make optimal trading decisions—buy, sell, or hold—by simulating various market scenarios. The agent learns from historical and live data, adapting its strategies to maximize profits while balancing risk and exploration of new opportunities. This adaptive learning process allows the model to evolve with changing market conditions.

A key feature of the model is its reward mechanism, which evaluates trading outcomes based on profit, volume, and associated costs. This reward system guides the Q-Learning algorithm to refine its strategies iteratively. The model is rigorously tested using historical data and benchmarked against standard trading strategies to ensure robustness. For practical use, it can be deployed as a trading bot with built-in risk management to handle the unpredictability of cryptocurrency markets, offering a dynamic and data-driven solution for traders.
DOI: 10.15468/dl.fp4769
title: Occurrence Download

description: A dataset containing 37656 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Apodemus flavicollis)",
 "BasisOfRecord is one of (Specimen, Literature Occurrence, Human Observation, Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1991",
 "Year is less than or equal to 2025"
 ]
}

 The dataset includes 37656 records from 320 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020639-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17210883
title: Calcareous Nannofossil and pXRF data from Graneros Shale and Greenhorn Limestone in Nebraska

description: Two datasets provided that link to Schueth et al. (2025) published in Stratigraphy under the title: "Stratigraphy of the Upper Cretaceous Graneros Shale and Greenhorn Limestone on the eastern margin of the Western Interior Seaway, USA." The data come from cores stored at the University of Nebraska-Lincoln Conservation and Survey Division.

 

The first contains count data of calcareous nannofossils from these cores. The second contains portable XRF (X-ray fluorescence) elemental geochemical data. See the publication for further details
DOI: 10.5281/zenodo.17210884
title: Calcareous Nannofossil and pXRF data from Graneros Shale and Greenhorn Limestone in Nebraska

description: Two datasets provided that link to Schueth et al. (2025) published in Stratigraphy under the title: "Stratigraphy of the Upper Cretaceous Graneros Shale and Greenhorn Limestone on the eastern margin of the Western Interior Seaway, USA." The data come from cores stored at the University of Nebraska-Lincoln Conservation and Survey Division.

 

The first contains count data of calcareous nannofossils from these cores. The second contains portable XRF (X-ray fluorescence) elemental geochemical data. See the publication for further details
DOI: 10.15468/dl.u2mejj
title: Occurrence Download

description: A dataset containing 1750 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is The results of synchronous surveys of birds in the wetlands of the Azov-Black Sea region of Ukraine in August 2021"
 ]
}

 The dataset includes 1750 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020641-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.j99mmm
title: Occurrence Download

description: A dataset containing 1941 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Catopsilia pomona",
 "Geometry POLYGON((119.300000 20.500000, 122.100000 20.500000, 122.100000 25.400000, 119.300000 25.400000, 119.300000 20.500000))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 1941 records from 20 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020642-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17210660
title: Personalizing ChatGPT Responses Using  Differential Privacy Techniques

description: In today’s digital world, advancements in artificial intelligence (AI) and natural language processing (NLP) have significantly improved user interactions with computer systems. Models like ChatGPT, capable of generating high-quality text and accurate responses, have enhanced user experiences. However, personalizing responses to provide a more tailored experience poses challenges such as privacy violations. Differential privacy techniques, by adding controlled noise to data, offer an effective solution to mitigate these risks. This study explores the process of personalizing ChatGPT’s responses using differential privacy techniques. The performance of SVM, Random Forest, and XGBoost algorithms was evaluated on the Dialogs, AmbigQA, and Break datasets. The XGBoost algorithm showed the best performance on the Break dataset, achieving an accuracy of 97.8% and RMSE of 0.12. SVM achieved 95.6% accuracy and MAE of 0.18 on the AmbigQA dataset, while Random Forest reached 93.4% accuracy and RMSE of 0.15 on the Dialogs dataset. Laplace and Gaussian noise were added to the data to ensure privacy, resulting in a precision reduction of less than 2%. The type of noise affected algorithms differently: Gaussian noise had a lesser impact on XGBoost, while Laplace noise was more optimal for SVM and Random Forest. This study demonstrates that it is possible to personalize responses while maintaining user privacy.
DOI: 10.5281/zenodo.17210661
title: Personalizing ChatGPT Responses Using  Differential Privacy Techniques

description: In today’s digital world, advancements in artificial intelligence (AI) and natural language processing (NLP) have significantly improved user interactions with computer systems. Models like ChatGPT, capable of generating high-quality text and accurate responses, have enhanced user experiences. However, personalizing responses to provide a more tailored experience poses challenges such as privacy violations. Differential privacy techniques, by adding controlled noise to data, offer an effective solution to mitigate these risks. This study explores the process of personalizing ChatGPT’s responses using differential privacy techniques. The performance of SVM, Random Forest, and XGBoost algorithms was evaluated on the Dialogs, AmbigQA, and Break datasets. The XGBoost algorithm showed the best performance on the Break dataset, achieving an accuracy of 97.8% and RMSE of 0.12. SVM achieved 95.6% accuracy and MAE of 0.18 on the AmbigQA dataset, while Random Forest reached 93.4% accuracy and RMSE of 0.15 on the Dialogs dataset. Laplace and Gaussian noise were added to the data to ensure privacy, resulting in a precision reduction of less than 2%. The type of noise affected algorithms differently: Gaussian noise had a lesser impact on XGBoost, while Laplace noise was more optimal for SVM and Random Forest. This study demonstrates that it is possible to personalize responses while maintaining user privacy.
DOI: 10.5281/zenodo.15485103
title: Single Cell RNASeq of motor cortex in a mouse model of alpha-synuclein pathology

description: This Zenodo deposit contains a publicly available description of the Dataset:

Title: "Single Cell RNASeq of motor cortex in a mouse model of alpha-synuclein pathology".

Description: This dataset was created with the goal of identifying transcriptomic changes associated with alpha-synuclein pathology in the alpha-synuclein fibril seeding mouse model. The dataset includes single cell RNA Sequencing data from motor cortex of mice injected with alpha-synuclein pre-formed fibrils ("PFF" group) or alpha-synuclein monomer as controls ("Control" group). The dataset includes subject cohorts with different levels of the following additional experimental factors: sex (male or female); brain hemisphere relative to the PFF injection site (ipsilateral or contralateral); time post-injection (1, 3, 6, or 9 months post-injection).





This dataset is made available to researchers via the ASAP CRN Cloud: cloud.parkinsonsroadmap.org. Instructions for how to request access can be found in the User Manual.

This research was funded by the Aligning Science Across Parkinson's Collaborative Research Network (ASAP CRN), through the Michael J. Fox Foundation for Parkinson's Research (MJFF).

This Zenodo deposit was created by the ASAP CRN Cloud staff on behalf of the dataset authors. It provides a citable reference for a CRN Cloud Dataset
DOI: 10.5281/zenodo.15485104
title: Single Cell RNASeq of motor cortex in a mouse model of alpha-synuclein pathology

description: This Zenodo deposit contains a publicly available description of the Dataset:

Title: "Single Cell RNASeq of motor cortex in a mouse model of alpha-synuclein pathology".

Description: This dataset was created with the goal of identifying transcriptomic changes associated with alpha-synuclein pathology in the alpha-synuclein fibril seeding mouse model. The dataset includes single cell RNA Sequencing data from motor cortex of mice injected with alpha-synuclein pre-formed fibrils ("PFF" group) or alpha-synuclein monomer as controls ("Control" group). The dataset includes subject cohorts with different levels of the following additional experimental factors: sex (male or female); brain hemisphere relative to the PFF injection site (ipsilateral or contralateral); time post-injection (1, 3, 6, or 9 months post-injection).





This dataset is made available to researchers via the ASAP CRN Cloud: cloud.parkinsonsroadmap.org. Instructions for how to request access can be found in the User Manual.

This research was funded by the Aligning Science Across Parkinson's Collaborative Research Network (ASAP CRN), through the Michael J. Fox Foundation for Parkinson's Research (MJFF).

This Zenodo deposit was created by the ASAP CRN Cloud staff on behalf of the dataset authors. It provides a citable reference for a CRN Cloud Dataset
DOI: 10.15468/dl.kzzw6d
title: Occurrence Download

description: A dataset containing 94 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Hampea tomentosa",
 "HasCoordinate is true"
 ]
}

 The dataset includes 94 records from 18 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020643-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.63hxzz
title: Occurrence Download

description: A dataset containing 5 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Drosophila melanogaster",
 "Country is Brazil",
 "HasCoordinate is true"
 ]
}

 The dataset includes 5 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020644-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.tsqf5u
title: Occurrence Download

description: A dataset containing 4344 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Registros de los dípteros causantes de la transmisión del agente etiológico del dengue en el departamento del Cauca, Colombia"
 ]
}

 The dataset includes 4344 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020645-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.z42yc5
title: Occurrence Download

description: A dataset containing 15 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Drosophila melanogaster",
 "Country is Costa Rica",
 "HasCoordinate is true"
 ]
}

 The dataset includes 15 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020646-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.30223255
title: Geographic Patterns in Public Demand and Supply for Surgical Retina in U.S. States: Supporting Data

description: This dataset supports the research article "Geographic Patterns in Public Demand and Supply for Surgical Retina in U.S. States: A Google Trends Analysis." The data includes:<br>1. Google Trends Relative Search Volume (RSV) data for retinal conditions and surgical procedures across all 50 U.S. states and Washington D.C. from 2004-20232. Retina specialist density calculations per 100,000 residents by state3. Calculated Relative Demand Index (RDI) values comparing public search interest to specialist availability4. State population data from U.S. Census Bureau5. Comprehensive state-by-state analysis tables<br>The dataset enables replication of the study findings and supports further research on geographic disparities in surgical retinal care access. Data sources include publicly accessible Google Trends, American Academy of Ophthalmology directory, and U.S. Census Bureau population estimates.<br>Files included:- Processed Google Trends data by state and search term- Retina specialist counts and density calculations- RDI calculations and analysis tables- Supporting documentation and methodology notes
DOI: 10.6084/m9.figshare.30223255.v1
title: Geographic Patterns in Public Demand and Supply for Surgical Retina in U.S. States: Supporting Data

description: This dataset supports the research article "Geographic Patterns in Public Demand and Supply for Surgical Retina in U.S. States: A Google Trends Analysis." The data includes:<br>1. Google Trends Relative Search Volume (RSV) data for retinal conditions and surgical procedures across all 50 U.S. states and Washington D.C. from 2004-20232. Retina specialist density calculations per 100,000 residents by state3. Calculated Relative Demand Index (RDI) values comparing public search interest to specialist availability4. State population data from U.S. Census Bureau5. Comprehensive state-by-state analysis tables<br>The dataset enables replication of the study findings and supports further research on geographic disparities in surgical retinal care access. Data sources include publicly accessible Google Trends, American Academy of Ophthalmology directory, and U.S. Census Bureau population estimates.<br>Files included:- Processed Google Trends data by state and search term- Retina specialist counts and density calculations- RDI calculations and analysis tables- Supporting documentation and methodology notes
DOI: 10.15468/dl.vnw7mk
title: Occurrence Download

description: A dataset containing 18 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Argentina",
 "TaxonKey is Spartina alterniflora"
 ]
}

 The dataset includes 18 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020648-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4gmrbz
title: Occurrence Download

description: A dataset containing 4344 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Registros de los dípteros causantes de la transmisión del agente etiológico del dengue en el departamento del Cauca, Colombia"
 ]
}

 The dataset includes 4344 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020647-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.pbfhqj
title: Occurrence Download

description: A dataset containing 574547 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Geometry POLYGON((-83.400000 32.000000, -78.500000 32.000000, -78.500000 35.200000, -83.400000 35.200000, -83.400000 32.000000))",
 "Year is greater than or equal to 2010",
 "Year is less than or equal to 2024",
 "BasisOfRecord is one of (Human Observation, Observation, Specimen)",
 "CoordinateUncertaintyInMeters is less than or equal to 10000",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 574547 records from 133 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020599-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.f98rxm
title: Occurrence Download

description: A dataset containing 1088 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is The results of synchronous surveys of birds in the wetlands of the Azov-Black Sea region of Ukraine in August 2018"
 ]
}

 The dataset includes 1088 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020651-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6cnrz7
title: Occurrence Download

description: A dataset containing 1286 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Conservación de la guacamaya verde (Ara militaris) en la Reserva de la Biósfera Tehuacán-Cuicatlán, México: un estudio de abundancia y reproducción en la zona de la cañada"
 ]
}

 The dataset includes 1286 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020652-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.s4rtcd
title: Occurrence Download

description: A dataset containing 1101643 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Australia",
 "HasCoordinate is true",
 "Year is 2025"
 ]
}

 The dataset includes 1101643 records from 63 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020605-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.whtfyt
title: Occurrence Download

description: A dataset containing 20 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Drosophila melanogaster",
 "Country is Japan",
 "HasCoordinate is true"
 ]
}

 The dataset includes 20 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020649-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.