cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/74jsdxtmx2.1
title: Cotton Leaf Disease Dataset with Severity Levels

description: This dataset comprises images of cotton leaves affected by various diseases, as well as healthy leaves. The data is meticulously organized into multiple folders, with each folder representing a specific disease or condition. The dataset includes images collected under diverse environmental conditions to enhance the robustness of machine learning models trained on it.

The dataset is categorized as follows:

Cotton_Healthy: Healthy cotton leaves without any visible signs of disease.
Bacterial_Blight: Leaves showing symptoms of bacterial blight, characterized by dark, water-soaked spots that may enlarge over time.
Fusarium_Wilt: Leaves affected by fusarium wilt, often exhibiting yellowing and wilting.
Curl_Virus: Cotton leaves infected with curl virus, characterized by curling and deformation of leaves.
The dataset is further stratified based on disease severity levels, including mild, moderate, severe, and critical stages. It is intended for training and validating machine learning models for automating disease detection and classification, enabling timely interventions in cotton farming.
DOI: 10.17632/74jsdxtmx2.2
title: Cotton Leaf Disease Dataset with Severity Levels

description: This dataset comprises images of cotton leaves affected by various diseases, as well as healthy leaves. The data is meticulously organized into multiple folders, with each folder representing a specific disease or condition. The dataset includes images collected under diverse environmental conditions to enhance the robustness of machine learning models trained on it.

The dataset is categorized as follows:

Cotton_Healthy: Healthy cotton leaves without any visible signs of disease.
Bacterial_Blight: Leaves showing symptoms of bacterial blight, characterized by dark, water-soaked spots that may enlarge over time.
Fusarium_Wilt: Leaves affected by fusarium wilt, often exhibiting yellowing and wilting.
Curl_Virus: Cotton leaves infected with curl virus, characterized by curling and deformation of leaves.
The dataset is further stratified based on disease severity levels, including mild, moderate, severe, and critical stages. It is intended for training and validating machine learning models for automating disease detection and classification, enabling timely interventions in cotton farming.
DOI: 10.17632/74jsdxtmx2.3
title: Cotton Leaf Disease Dataset with Severity Levels

description: This dataset comprises images of cotton leaves affected by various diseases, as well as healthy leaves. The data is meticulously organized into multiple folders, with each folder representing a specific disease or condition. The dataset includes images collected under diverse environmental conditions to enhance the robustness of machine learning models trained on it.

The dataset is categorized as follows:

Cotton_Healthy: Healthy cotton leaves without any visible signs of disease.
Bacterial_Blight: Leaves showing symptoms of bacterial blight, characterized by dark, water-soaked spots that may enlarge over time.
Fusarium_Wilt: Leaves affected by fusarium wilt, often exhibiting yellowing and wilting.
Curl_Virus: Cotton leaves infected with curl virus, characterized by curling and deformation of leaves.
The dataset is further stratified based on disease severity levels, including mild, moderate, severe, and critical stages. It is intended for training and validating machine learning models for automating disease detection and classification, enabling timely interventions in cotton farming.
DOI: 10.15468/dl.nhyd58
title: Occurrence Download

description: A dataset containing 7697 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Yponomeuta cagnagellus (Hübner, 1813)",
 "HasGeospatialIssue is false",
 "HasCoordinate is true"
 ]
}

 The dataset includes 7697 records from 220 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001194-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/xxxsc9gndx.1
title: movie consumption

description: movie consumption
DOI: 10.17632/w576hnjv5p
title: Number-Time Interaction Under Uncertainty

description: In this study, we conducted two experiments where we manipulated the presentation (blocked vs Random) of the number magnitude and studied its effect on time perception. The data set contains data from 70 participants (35 in each experiment: Blocked and random).
DOI: 10.17632/w576hnjv5p.1
title: Number-Time Interaction Under Uncertainty

description: In this study, we conducted two experiments where we manipulated the presentation (blocked vs Random) of the number magnitude and studied its effect on time perception. The data set contains data from 70 participants (35 in each experiment: Blocked and random).
DOI: 10.15468/dl.6dzpcc
title: Occurrence Download

description: A dataset containing 12816 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Colombia",
 "TaxonKey is Acacia decurrens Willd.",
 "Year 2001-2021"
 ]
}

 The dataset includes 12816 records from 32 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001195-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/pmg34htc73.1
title: Финансирование инновационных компаний с учетом их характеристик на разных этапах жизненного цикла

description: В результате формирования выборки из проведенных сделок на российском рынке за период с 2019 г. по 2024 г. в рамках финансирования инновационных компаний на разных этапах жизненного цикла, а также использования регрессионного анализа с участием интегрального показателя в виде размера финансирования и несколькими объясняющими переменными было установлено, что наиболее значимыми факторами являются: число основателей, отношение к ИТ-сектору, размер выручки, ситуация на фондовом рынке, участие венчурных фондов на прошлых раундах финансирования (значимость данных факторов варьируются исходя из этапа жизненного цикла).
Полученные методологические и прикладные результаты могут быть использованы инновационными компаниями в дальнейшем в целях формирования стратегий по привлечению финансирования в создание, внедрение и последующее развитие инновационных товаров и услуг.
DOI: 10.17632/ygsdw84t72.1
title: Escape room files

description: The document corresponds to a translated version in English of the instructions and questions of an escape room activity for the Biophysics program at UFCSPA.
DOI: 10.5281/zenodo.15002802
title: Ciona tail regression_genotype_Ano5 (KH.C8.274)  _Ano6 (KH.C10.524)_10mM NH4Cl_video2 (part2)

description: Video that was collected using Ciona Tracker 2.0 as part of Liang et al 2025. Animals included in this video are Ano5, Ano6 double mutants used in CRISPR/Cas9 experiments addressing the role of Ano5 and Ano6 in Ciona sensory perception.
DOI: 10.5281/zenodo.15002803
title: Ciona tail regression_genotype_Ano5 (KH.C8.274)  _Ano6 (KH.C10.524)_10mM NH4Cl_video2 (part2)

description: Video that was collected using Ciona Tracker 2.0 as part of Liang et al 2025. Animals included in this video are Ano5, Ano6 double mutants used in CRISPR/Cas9 experiments addressing the role of Ano5 and Ano6 in Ciona sensory perception.
DOI: 10.17632/m6674wh2kn.1
title: Steel companies

description: This file provides dataset for the research on determing factors in a Russian steel-mill company capitalisation. The dataset includes data on capitalisation, net income, debt, dividends, ESG, exchange rate, LME index for non-ferrous metals, FOB for ferrous metals, vertical integration, sanctions, oil prices, steel taxes, key rate, stock exchange index, share of Russian production in world crude steel production, share of export in Russian production of crude steel, closing of the financial statements, fixed assets, total assets, earnings. The data is divided in four groups: non-ferrous metals companies before 2022, non-ferrous metals companies after 2022, ferrous metals companies before 2022, ferrous metals companies after 2022.
DOI: 10.15468/dl.yz6eus
title: Occurrence Download

description: A dataset containing 1884 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Colombia",
 "OccurrenceStatus is Present",
 "TaxonKey is Hemidactylus frenatus Duméril & Bibron, 1836",
 "Year 2015-2025"
 ]
}

 The dataset includes 1884 records from 115 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001196-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/3xdb6bgt6c.1
title: Data for MSU

description: The impact of capital structure on the market value of steel mill companies
DOI: 10.17632/p8h49746nj.1
title: Panel data with dividends

description: An unbalanced panel is presented, which contains data from IFRS financial statements of Russian non-financial sector companies for 2011-2023, market tickers of the companies and years. The dataset also contains data on the amount of dividend paid at the end of the reporting year, the date of publication of the relevant decision of the Board of Directors, and the market capitalisation of the company at the end of the year.

The hypotheses of information content of dividends are tested: 

1) an increase in the size of the dividend leads to an increase in the share price.

2) a decrease in the size of the dividend leads to a fall in the share.
DOI: 10.17632/rpb3ksc4hc.1
title: G2MNO.OL - Balance Sheet.csv

description: Business:

Affiliate business predominately within iGaming but also sports betting, connecting online operators with players through a portfolio of 100+ websites, apps and social media
Websites include AskGamblers, CasinoTopsOnline, Time2play etc. – serve as content hubs and comparison of offers from casino operators
Revenue Breakdown:
Revenue Sharing Agreements (58% of last Q revenue): Operators pay Gentoo a percentage (usually 40-50%) of Net Gaming Revenue (NGR) generated by First Time Depositors (FTDs) referred by Gentoo. The percentage is paid over the full lifetime of the customer, i.e. several years. This is a recurring income stream that aligns Gentoo’s success with the operators’ long-term revenue from the player
CPA (Cost Per Acquisition) (9%): Operators pay a one-time, fixed fee for each FTD referred by Gentoo. This model is immediate but lacks recurring income
Listing Fees/Other (33%): Payments from operators for premium placement on Gentoo’s websites, including sponsored content, banners, and exclusive promotional deals
Key Metrics:
First Time Depositors (FTD): Over 500,000 annually
Top 5 Websites: Contribute ~25-30% of total revenue
Geographic Revenue Distribution: 59% from Europe, 21% from the Americas, with the remainder from other global markets
Traffic Generation: Gentoo acquires players via SEO-optimized content and AdWords
Leverage of 2x EBITDA; 90m bonds outstanding and 28m deferred consideration for past M&A (opportunity to reduce high interest rate over coming years)
 

Thesis:

Company under-the-radar after having spun off from the Platform & Sportsbook division within Gaming Innovation Group (GiG) late last year. Stock trades on 6.6x 2025 P/E or FCF and 5x 2026, while growing low teens, in line with the sector. EBITDA margins at 50%. Capital light business generating cash flow while growing
Comps like Gambling.com trade in mid teens. Better Collective trades at 11x (after derating from 20x+ recently)
A key strength of Gentoo’s business lies in its revenue mix. Approximately 60% of its revenue comes from recurring revenue share agreements, which are tied to the ongoing performance of operators. This model provides a stable, predictable income stream and reduces the company's reliance on one-time CPA revenues. As player spending increases over time, Gentoo’s revenue share naturally grows, even without adding new contracts. Current valuation does not accurately reflect the visibility of recurring revenue stream
Strong media assets, in-house expertise in SEO and content creation
Company has been successful in acquiring underperforming media assets and turning them around by using inhouse technology, better SEO generating more traffic and better content
DOI: 10.17632/t9g4wkh6nx.1
title: DOl

description: The document focuses on the automotive industry and integrates the financial data of 22 companies from 2019 to 2023 to provide a basis for industry analysis.

1. Data source: The data comes from multiple websites, such https://builtin.com/articles/electric-car-companies ashttps://marketchameleon.com等 , Covering multi-channel information to ensure data richness and reliability.

2. Corporate information: It contains 22 automobile companies, involving companies from the United States, China, Japan, Sweden, Germany, Ireland and other countries. There are many types of companies, including emerging companies focusing on electric vehicles, as well as traditional automobile giants.

3. Financial indicator data

◦ Tax burden coefficient (TB): The TB value of each enterprise fluctuates between 0-0.9884, reflecting the difference in the degree of tax impact on corporate profitability.

◦Debt burden coefficient (IB): The IB value range is 0-0.8984, which reflects the degree of corporate debt pressure.

 EB EBIT sales profit margin (ROS): The value of ROS fluctuates greatly, ranging from -39.02 to 24.22, indicating the level of sales profitability of the company based on EBIT.

◦ Total asset turnover rate (TAT): The TAT value is in the range of 0-0.9935, which measures the efficiency of enterprise asset operations.

◦Equity multiplier (EM): The EM value fluctuates from 0-1.9979, reflecting the degree of financial leverage utilization of the enterprise.

◦Return on net assets (ROE): The ROE value is -35.04 to 18.54, which is used to assess the profitability of an enterprise using its own capital.

4. Descriptive statistics: The mean, standard error, median, majority and other statistical values of each indicator are calculated.For example, Nikola Motor Company's TB mean is 0.6893 and the standard error is 0.0158, which reflects the trend and degree of dispersion of data concentration and provides a reference for analyzing corporate financial performance.
DOI: 10.15468/dl.kazy3e
title: Occurrence Download

description: A dataset containing 2213 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Themira annulipes (Meigen, 1826)",
 "HasGeospatialIssue is false",
 "HasCoordinate is true"
 ]
}

 The dataset includes 2213 records from 80 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001197-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.88f3eq
title: Occurrence Download

description: A dataset containing 72 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Anaphalis delavayi (Franch.) Diels"
 ]
}

 The dataset includes 72 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009793-240229165702484/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ztfefa
title: Occurrence Download

description: A dataset containing 1014 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Hemigrapsus oregonensis (Dana, 1851)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 1014 records from 19 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009497-190621201848488/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.arbcrm
title: Occurrence Download

description: A dataset containing 595 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Pelliciera rhizophorae Triana & Planch."
 ]
}

 The dataset includes 595 records from 40 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009863-210819072339941/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fxdzx2
title: Occurrence Download

description: A dataset containing 494 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Anaphalis flavescens Hand.-Mazz."
 ]
}

 The dataset includes 494 records from 26 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009814-240229165702484/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wzzvpe
title: Occurrence Download

description: A dataset containing 2617 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "BasisOfRecord is Specimen",
 "BasisOfRecord is Human Observation"
 ]
 },
 "Geometry POLYGON((-92.21 41.22,-75.97 41.22,-75.97 49,-92.21 49,-92.21 41.22))",
 "HasCoordinate is true",
 "TaxonKey is Ictalurus punctatus (Rafinesque, 1818)",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 2617 records from 17 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021504-190621201848488/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zmfaed
title: Occurrence Download

description: A dataset containing 17 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Viviania linostigma R.Knuth"
 ]
}

 The dataset includes 17 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009865-210819072339941/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bb8gvq
title: Occurrence Download

description: A dataset containing 1627 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Pinus hartwegii Lindl."
 ]
}

 The dataset includes 1627 records from 79 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009576-190621201848488/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zyq6jb
title: Occurrence Download

description: A dataset containing 448 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Alchemilla obtusa Buser",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 448 records from 29 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0070230-231120084113126/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.k9uyqq
title: Occurrence Download

description: A dataset containing 135068 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is United States of America",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Charadrius melodus Ord, 1824",
 "Year 1990-2020"
 ]
}

 The dataset includes 135068 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0111511-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.kvt4mv
title: Occurrence Download

description: A dataset containing 42 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Creochiton novoguineensis (Baker fil.) Veldkamp & M.P.Nayar"
 ]
}

 The dataset includes 42 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011811-240314170635999/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.lcaxiy
title: Occurrence Download

description: A dataset containing 1726 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Chlamydosaurus kingii Gray, 1825",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 1726 records from 29 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009516-190621201848488/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ew4bq5
title: Occurrence Download

description: A dataset containing 7 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Copestylum rufoscutellare (Philippi, 1865)"
 ]
}

 The dataset includes 7 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0111520-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.tclmcm
title: Occurrence Download

description: A dataset containing 127499 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is Southern Ocean Continuous Zooplankton Recorder (SO-CPR) Survey"
 ]
}

 The dataset includes 127499 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005004-190813142620410/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.tjg4xt
title: Occurrence Download

description: A dataset containing 48 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Garrulax yersini (Robinson & Kloss, 1919)"
 ]
}

 The dataset includes 48 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014016-240229165702484/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.k68kfm
title: Occurrence Download

description: A dataset containing 136 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Europe",
 "Country is Romania",
 "TaxonKey is Ciconia nigra (Linnaeus, 1758)"
 ]
}

 The dataset includes 136 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0092475-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.uy3n0x
title: Occurrence Download

description: A dataset containing 7195183 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Colombia",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 7195183 records from 1463 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007906-190813142620410/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.