cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/3zp9zxpfkg.2
title: Autophagy Targeting by Astaxanthin in PCOS

description: Dataset Description

This dataset was generated from a pilot, randomized, triple-blind, placebo-controlled clinical trial conducted at Omid Fertility Center (Tehran, Iran) between November 2023 and September 2024. The study investigated the effects of astaxanthin (AST) supplementation on clinical and molecular outcomes in women with polycystic ovary syndrome (PCOS) undergoing assisted reproductive technology (ART).

Research hypothesis: We hypothesized that AST supplementation would improve oocyte maturity and embryo quality in women with PCOS, potentially through modulation of the AMPK–autophagy–apoptosis signaling pathway in granulosa cells.

What the data shows: The dataset includes de-identified participant-level data on baseline characteristics (e.g., age, BMI, infertility history), controlled ovarian stimulation (COS) parameters, oocyte and embryo outcomes, and pregnancy outcomes. Data were collected prospectively during the trial and recorded in structured case report forms before being entered into Excel for analysis.

How the data can be interpreted and used: The dataset provides insights into the potential role of AST as an adjuvant in ART protocols for PCOS. Researchers may use these data to:

 Reproduce or validate the reported analyses.
 Conduct secondary analyses.
 Integrate findings into systematic reviews or meta-analyses.

All data are fully de-identified. A data dictionary is provided to explain variable names and coding.
DOI: 10.17632/g794dx2g55
title: The impact of local governments’ involution-type and cooperative-type tax competition on implicit debt risk

description: This is data for the paper 《The impact of local governments’ involution-type and cooperative-type tax competition on implicit debt risk》
DOI: 10.17632/g794dx2g55.1
title: The impact of local governments’ involution-type and cooperative-type tax competition on implicit debt risk

description: This is data for the paper 《The impact of local governments’ involution-type and cooperative-type tax competition on implicit debt risk》
DOI: 10.17632/nmpr9zmn7r
title: NPSC WB original data

description: Original western blots
DOI: 10.6084/m9.figshare.31395318
title: Data from QTL-seq analysis of seed protein quantity and quality traits in two soybean recombinant inbred line populations

description: Phenotype data: two RIL populations (POP179. POP180) grown in four location-year environments (Chatham 2020, Palmyra 2020, Ridgetown 2020, Ridgetown 2021) across southwestern Ontario. The populations were planted as RCBDs with two replications (blocks) per environment. Seed protein, cysteine, methionine, threonine, and lysine concentrations were measured as percent dry seed weight, using Perten DA 7250 SD NIR analyzer.<br><br>Genotype Data: SNP marker data obtained from GBS using the Illumina NovaSeq 6000 platform. Sequences were aligned to the Gmax_275_v2 reference genome for variant calls.
DOI: 10.6084/m9.figshare.31395318.v1
title: Data from QTL-seq analysis of seed protein quantity and quality traits in two soybean recombinant inbred line populations

description: Phenotype data: two RIL populations (POP179. POP180) grown in four location-year environments (Chatham 2020, Palmyra 2020, Ridgetown 2020, Ridgetown 2021) across southwestern Ontario. The populations were planted as RCBDs with two replications (blocks) per environment. Seed protein, cysteine, methionine, threonine, and lysine concentrations were measured as percent dry seed weight, using Perten DA 7250 SD NIR analyzer.<br><br>Genotype Data: SNP marker data obtained from GBS using the Illumina NovaSeq 6000 platform. Sequences were aligned to the Gmax_275_v2 reference genome for variant calls.
DOI: 10.17632/nmpr9zmn7r.1
title: NPSC WB original data

description: Original western blots
DOI: 10.5281/zenodo.18745527
title: HIV-PrICAS: HIV-1 Protease-inhibitor Complexes Activity and Structure Database
DOI: 10.5281/zenodo.18745526
title: HIV-PrICAS: HIV-1 Protease-inhibitor Complexes Activity and Structure Database
DOI: 10.17632/pz4y4tx3bz
title: Multiple lithium sites in kaolinite

description: This dataset includes all supporting data and model files for the figures and tables presented in this paper, provided as four separate files. Data of all supplementary tables.xlsx compiles the raw data for all Supplementary Tables (Tables S1–S4). Data of tables in the main text.xlsx compiles the raw data underlying the tables in the main text. The source data for figures.xlsx provides the plotting source data for all figures in the paper, enabling reproduction of the curves, scatter plots, and associated statistical results. Source models of Figure 7.zip contains the structural/computational model source files used for Figure 7, allowing reproduction of the modeling workflow and figure visualization. Collectively, these files ensure full traceability and reproducibility of the reported graphical and tabulated results.
DOI: 10.17632/pz4y4tx3bz.1
title: Multiple lithium sites in kaolinite

description: This dataset includes all supporting data and model files for the figures and tables presented in this paper, provided as four separate files. Data of all supplementary tables.xlsx compiles the raw data for all Supplementary Tables (Tables S1–S4). Data of tables in the main text.xlsx compiles the raw data underlying the tables in the main text. The source data for figures.xlsx provides the plotting source data for all figures in the paper, enabling reproduction of the curves, scatter plots, and associated statistical results. Source models of Figure 7.zip contains the structural/computational model source files used for Figure 7, allowing reproduction of the modeling workflow and figure visualization. Collectively, these files ensure full traceability and reproducibility of the reported graphical and tabulated results.
DOI: 10.17632/ppn9bkbrcw
title: Data Set Digitalization Macroeconomic Fluctuations China

description: Data set for modelling impacts of digitalization on macroeconomic fluctuations in China.
DOI: 10.17632/ppn9bkbrcw.1
title: Data Set Digitalization Macroeconomic Fluctuations China

description: Data set for modelling impacts of digitalization on macroeconomic fluctuations in China.
DOI: 10.17632/hjjb6k6f8f
title: Supplemental Material for Geographic Variation in the Impact of Novel Melanoma Therapies on Mortality

description: Supplemental material to accompany Kong, E. L., Sullivan, R., Tsao, H., & Chen, S. T. (2026). Geographic variation in the impact of novel melanoma therapies on mortality. Journal of the American Academy of Dermatology.
DOI: 10.17632/hjjb6k6f8f.1
title: Supplemental Material for Geographic Variation in the Impact of Novel Melanoma Therapies on Mortality

description: Supplemental material to accompany Kong, E. L., Sullivan, R., Tsao, H., & Chen, S. T. (2026). Geographic variation in the impact of novel melanoma therapies on mortality. Journal of the American Academy of Dermatology.
DOI: 10.17632/77vyz8d9v3
title: Guava Leaf and Fruit Disease

description: 1. The dataset consists of seven different guava classes—Guava Powdery Mildew, Guava Red Rust, Guava Scab Disease, Guava Sooty Mold, Guava White Fly, Healthy Fruit, and Healthy Leaf—designed for developing computer vision–based algorithms.
2. A total of 3,500 guava images were collected from real field conditions. To increase the dataset size and improve model generalization, data augmentation techniques such as shifting, flipping, zooming, shearing, brightness enhancement, and rotation were applied. As a result, 24,500 augmented images were generated from the original dataset.
DOI: 10.17632/77vyz8d9v3.1
title: Guava Leaf and Fruit Disease

description: 1. The dataset consists of seven different guava classes—Guava Powdery Mildew, Guava Red Rust, Guava Scab Disease, Guava Sooty Mold, Guava White Fly, Healthy Fruit, and Healthy Leaf—designed for developing computer vision–based algorithms.
2. A total of 3,500 guava images were collected from real field conditions. To increase the dataset size and improve model generalization, data augmentation techniques such as shifting, flipping, zooming, shearing, brightness enhancement, and rotation were applied. As a result, 24,500 augmented images were generated from the original dataset.
DOI: 10.17632/24w9km6sb5
title: Soil organic carbon stability as a central axis of soil health under integrated fertilization in semiarid mango orchards

description: Additional supporting data are available from the corresponding author upon reasonable request.
DOI: 10.17632/24w9km6sb5.1
title: Soil organic carbon stability as a central axis of soil health under integrated fertilization in semiarid mango orchards

description: Additional supporting data are available from the corresponding author upon reasonable request.
DOI: 10.17632/g547rjxkn4
title: Monophasic Transcranial Magnetic Stimulation Pulse Waveforms

description: Direct time-domain captures of monophasic TMS discharge signatures generated by a Magstim 200 Mono Pulse stimulator operating at 10% power output. Recorded via a FNIRSI 2C23T digital oscilloscope utilizing an unshielded inductive copper loop. These raw waveforms provide a ground-truth characterization of the precise magnetic flux profile and induced voltage rise time of standard monophasic pulses.
DOI: 10.17632/g547rjxkn4.1
title: Monophasic Transcranial Magnetic Stimulation Pulse Waveforms

description: Direct time-domain captures of monophasic TMS discharge signatures generated by a Magstim 200 Mono Pulse stimulator operating at 10% power output. Recorded via a FNIRSI 2C23T digital oscilloscope utilizing an unshielded inductive copper loop. These raw waveforms provide a ground-truth characterization of the precise magnetic flux profile and induced voltage rise time of standard monophasic pulses.
DOI: 10.17632/jgwtdj3j7z
title: Casos de Tosferina en el Perú del año 2000 al 2025 completo

description: Estos datos son accedidos por acceso a la información pública del Ministerios de Salud a través de la CDC Perú y actualizada con datos abiertos publicados en la página oficial https://app7.dge.gob.pe/maps2/shiny_inmuno_web/
DOI: 10.15468/dl.p2etry
title: Occurrence Download

description: A dataset containing 3991 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is United States of America",
 "Geometry POLYGON((-123.57959 38.40777,-120.54682 34.35696,-117.12899 32.87583,-114.32496 33.7872,-119.34421 39.31704,-119.83603 43.37667,-124.33829 43.48787,-123.57959 38.40777))",
 "HasGeospatialIssue is false",
 "TaxonKey is Ursus americanus",
 "Year 2020-2026"
 ]
}

 The dataset includes 3991 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004436-260221153910048/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.pwaxs9
title: Occurrence Download

description: A dataset containing 408 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Aragoa cupressina",
 "Country is Colombia",
 "HasCoordinate is true"
 ]
}

 The dataset includes 408 records from 28 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004437-260221153910048/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/jgwtdj3j7z.1
title: Casos de Tosferina en el Perú del año 2000 al 2025 completo

description: Estos datos son accedidos por acceso a la información pública del Ministerios de Salud a través de la CDC Perú y actualizada con datos abiertos publicados en la página oficial https://app7.dge.gob.pe/maps2/shiny_inmuno_web/
DOI: 10.17632/f7dvbx5245
title: Indicators of urban competitive vulnerability in Spanish tourist cities (2014–2024)

description: This dataset provides a harmonised panel of economic, social and tourism performance indicators for six major tourist cities in Spain—Barcelona, Madrid, Palma de Mallorca, Seville, Málaga and Valencia—covering the period from 2014 to 2024. The data have been compiled from official statistical sources and systematically organised to support empirical analyses of urban dynamics, competitiveness and vulnerability in tourism-oriented cities.

The variables capture key dimensions of urban performance, including economic activity, labour market conditions, social and demographic characteristics, tourism intensity and accommodation capacity. Together, these indicators allow for a multidimensional assessment of how tourism development interacts with broader socio-economic structures at the urban level over time.

The dataset is designed to facilitate comparative and longitudinal analyses, enabling researchers to explore trends, disparities and structural changes across cities and periods. It is particularly suitable for studies on urban competitiveness, vulnerability, resilience and sustainable tourism development, as well as for quantitative modelling and policy-oriented research. The data underpin the empirical analysis presented in the associated research article titled “Urban competitive vulnerability in tourist cities: An integrated framework and empirical evidence from Spain”.
DOI: 10.17632/f7dvbx5245.3
title: Indicators of urban competitive vulnerability in Spanish tourist cities (2014–2024)

description: This dataset provides a harmonised panel of economic, social and tourism performance indicators for six major tourist cities in Spain—Barcelona, Madrid, Palma de Mallorca, Seville, Málaga and Valencia—covering the period from 2014 to 2024. The data have been compiled from official statistical sources and systematically organised to support empirical analyses of urban dynamics, competitiveness and vulnerability in tourism-oriented cities.

The variables capture key dimensions of urban performance, including economic activity, labour market conditions, social and demographic characteristics, tourism intensity and accommodation capacity. Together, these indicators allow for a multidimensional assessment of how tourism development interacts with broader socio-economic structures at the urban level over time.

The dataset is designed to facilitate comparative and longitudinal analyses, enabling researchers to explore trends, disparities and structural changes across cities and periods. It is particularly suitable for studies on urban competitiveness, vulnerability, resilience and sustainable tourism development, as well as for quantitative modelling and policy-oriented research. The data underpin the empirical analysis presented in the associated research article titled “Urban competitive vulnerability in tourist cities: An integrated framework and empirical evidence from Spain”.
DOI: 10.17632/4jh27vjxjm
title: MediHerbBD: Herbal Medicinal Fruits & Seeds Dataset of Bangladesh

description: 𝑶𝒗𝒆𝒓𝒗𝒊𝒆𝒘:
Herbal fruits and seeds are naturally abundant and provide a wide range of medicinal and therapeutic benefits. They are widely used as remedies for many common and chronic diseases. However, manual identification requires expert knowledge and can be labor-intensive.
To address this challenge, the Herbal Medicinal Fruits & Seeds Dataset was developed to enable automatic identification using Machine Learning and Deep Learning techniques. This dataset aims to make herbal knowledge more accessible by supporting the development of intelligent classification systems.

𝑪𝒐𝒏𝒕𝒆𝒙𝒕 & 𝑴𝒐𝒕𝒊𝒗𝒂𝒕𝒊𝒐𝒏:
* This dataset comprises high-resolution images of herbal fruits and seeds. It is structured into two parts: the Original Dataset and the Augmented Dataset.
* This dataset holds nineteen of these common yet very useful herbal medicinal fruits and seeds for people to classify easily.
* The nineteen fruits and seeds included are: 𝗕𝗲𝗹𝗹𝗲𝗿𝗶𝗰 𝗠𝘆𝗿𝗼𝗯𝗮𝗹𝗮𝗻 (Bohera), 𝗕𝗹𝗮𝗰𝗸 𝗖𝘂𝗺𝗶𝗻 (Kalo jira), 𝗕𝗹𝗮𝗰𝗸 𝗣𝗲𝗽𝗽𝗲𝗿 (Gol morich), 𝗖𝗮𝗿𝗱𝗮𝗺𝗼𝗺 (Elachi), 𝗖𝗵𝗲𝗯𝘂𝗹𝗶𝗰 𝗠𝘆𝗿𝗼𝗯𝗮𝗹𝗮𝗻 (Horitoki), 𝗖𝗶𝗻𝗻𝗮𝗺𝗼𝗻 (Daruchini), 𝗖𝗹𝗼𝘃𝗲 (Lobongo), 𝗖𝘂𝗺𝗶𝗻 𝗦𝗲𝗲𝗱𝘀 (Jira), 𝗙𝗲𝗻𝘂𝗴𝗿𝗲𝗲𝗸 𝗦𝗲𝗲𝗱𝘀 (Methi), 𝗙𝗹𝗮𝘅 𝗦𝗲𝗲𝗱𝘀 (Tishi), 𝗚𝗮𝗿𝗹𝗶𝗰 (Rosun), 𝗚𝗼𝗼𝘀𝗲𝗯𝗲𝗿𝗿𝘆 (Amloki), 𝗚𝗶𝗻𝗴𝗲𝗿 (Ada), 𝗠𝗮𝗰𝗲 (Joyetri), 𝗡𝘂𝘁𝗺𝗲𝗴 (Joyfol), 𝗣𝘀𝗼𝗿𝗮𝗹𝗲𝗮 𝗙𝗿𝘂𝗶𝘁 (Bokuchi fol), 𝗦𝘁𝗮𝗿 𝗔𝗻𝗶𝘀𝗲 (Tara mashla), 𝗦𝗲𝘀𝗮𝗺𝗲 𝗦𝗲𝗲𝗱𝘀 (Til), 𝗧𝘂𝗿𝗺𝗲𝗿𝗶𝗰 (Holud).
*The data is mainly for herbal fruits and seeds identification purposes. The data are primarily collected from eight different places, including the National Botanical Garden, Shonir Akhra Kacha Bazar, and Jahangirnagar University.

𝑫𝒂𝒕𝒂𝒔𝒆𝒕 𝑪𝒐𝒎𝒑𝒐𝒔𝒊𝒕𝒊𝒐𝒏:
~ Total Images: 19,000
 • 3,800 Original high-resolution images
 • 15,200 Augmented images
~ Captured in the vibrant, real-world ambiance with optimized lighting setup.
~ Images acquired using smartphones. 

𝑯𝒆𝒓𝒃𝒂𝒍 𝑭𝒓𝒖𝒊𝒕 & 𝑺𝒆𝒆𝒅 𝑪𝒍𝒂𝒔𝒔𝒆𝒔:
~ 19 distinct classes covering a wide variety of herbal fruits and seeds.
~ Each class contains 200 original images and 800 augmented images.
~ Includes common and rare herbal fruits and seeds across different lighting and background conditions.

𝑺𝒖𝒎𝒎𝒖𝒓𝒚 & 𝑭𝒐𝒓𝒎𝒂𝒕:
* This dataset is well-suited for research in plant pathology, machine learning, and image classification tasks related to agriculture, classification, and crop health monitoring.
* Folder structure is provided in the README file.
DOI: 10.17632/4jh27vjxjm.1
title: MediHerbBD: Herbal Medicinal Fruits & Seeds Dataset of Bangladesh

description: 𝑶𝒗𝒆𝒓𝒗𝒊𝒆𝒘:
Herbal fruits and seeds are naturally abundant and provide a wide range of medicinal and therapeutic benefits. They are widely used as remedies for many common and chronic diseases. However, manual identification requires expert knowledge and can be labor-intensive.
To address this challenge, the Herbal Medicinal Fruits & Seeds Dataset was developed to enable automatic identification using Machine Learning and Deep Learning techniques. This dataset aims to make herbal knowledge more accessible by supporting the development of intelligent classification systems.

𝑪𝒐𝒏𝒕𝒆𝒙𝒕 & 𝑴𝒐𝒕𝒊𝒗𝒂𝒕𝒊𝒐𝒏:
* This dataset comprises high-resolution images of herbal fruits and seeds. It is structured into two parts: the Original Dataset and the Augmented Dataset.
* This dataset holds nineteen of these common yet very useful herbal medicinal fruits and seeds for people to classify easily.
* The nineteen fruits and seeds included are: 𝗕𝗲𝗹𝗹𝗲𝗿𝗶𝗰 𝗠𝘆𝗿𝗼𝗯𝗮𝗹𝗮𝗻 (Bohera), 𝗕𝗹𝗮𝗰𝗸 𝗖𝘂𝗺𝗶𝗻 (Kalo jira), 𝗕𝗹𝗮𝗰𝗸 𝗣𝗲𝗽𝗽𝗲𝗿 (Gol morich), 𝗖𝗮𝗿𝗱𝗮𝗺𝗼𝗺 (Elachi), 𝗖𝗵𝗲𝗯𝘂𝗹𝗶𝗰 𝗠𝘆𝗿𝗼𝗯𝗮𝗹𝗮𝗻 (Horitoki), 𝗖𝗶𝗻𝗻𝗮𝗺𝗼𝗻 (Daruchini), 𝗖𝗹𝗼𝘃𝗲 (Lobongo), 𝗖𝘂𝗺𝗶𝗻 𝗦𝗲𝗲𝗱𝘀 (Jira), 𝗙𝗲𝗻𝘂𝗴𝗿𝗲𝗲𝗸 𝗦𝗲𝗲𝗱𝘀 (Methi), 𝗙𝗹𝗮𝘅 𝗦𝗲𝗲𝗱𝘀 (Tishi), 𝗚𝗮𝗿𝗹𝗶𝗰 (Rosun), 𝗚𝗼𝗼𝘀𝗲𝗯𝗲𝗿𝗿𝘆 (Amloki), 𝗚𝗶𝗻𝗴𝗲𝗿 (Ada), 𝗠𝗮𝗰𝗲 (Joyetri), 𝗡𝘂𝘁𝗺𝗲𝗴 (Joyfol), 𝗣𝘀𝗼𝗿𝗮𝗹𝗲𝗮 𝗙𝗿𝘂𝗶𝘁 (Bokuchi fol), 𝗦𝘁𝗮𝗿 𝗔𝗻𝗶𝘀𝗲 (Tara mashla), 𝗦𝗲𝘀𝗮𝗺𝗲 𝗦𝗲𝗲𝗱𝘀 (Til), 𝗧𝘂𝗿𝗺𝗲𝗿𝗶𝗰 (Holud).
*The data is mainly for herbal fruits and seeds identification purposes. The data are primarily collected from eight different places, including the National Botanical Garden, Shonir Akhra Kacha Bazar, and Jahangirnagar University.

𝑫𝒂𝒕𝒂𝒔𝒆𝒕 𝑪𝒐𝒎𝒑𝒐𝒔𝒊𝒕𝒊𝒐𝒏:
~ Total Images: 19,000
 • 3,800 Original high-resolution images
 • 15,200 Augmented images
~ Captured in the vibrant, real-world ambiance with optimized lighting setup.
~ Images acquired using smartphones. 

𝑯𝒆𝒓𝒃𝒂𝒍 𝑭𝒓𝒖𝒊𝒕 & 𝑺𝒆𝒆𝒅 𝑪𝒍𝒂𝒔𝒔𝒆𝒔:
~ 19 distinct classes covering a wide variety of herbal fruits and seeds.
~ Each class contains 200 original images and 800 augmented images.
~ Includes common and rare herbal fruits and seeds across different lighting and background conditions.

𝑺𝒖𝒎𝒎𝒖𝒓𝒚 & 𝑭𝒐𝒓𝒎𝒂𝒕:
* This dataset is well-suited for research in plant pathology, machine learning, and image classification tasks related to agriculture, classification, and crop health monitoring.
* Folder structure is provided in the README file.
DOI: 10.17632/gbffch5dmv
title: Thermal Brake Disc Fissures

description: The core hypothesis of this research is that integrating localized object detection (YOLOv8m) with fine-grained semantic segmentation (U-Net with a ResNet50 backbone) on thermal infrared imagery significantly enhances the accuracy and reliability of crack detection in railway brake discs compared to conventional visual inspection or single-model AI approaches. Thermal imaging provides superior contrast for identifying heat dissipation patterns around metallic fissures, which are often invisible to the naked eye under industrial conditions.

This dataset contains a comprehensive collection of thermal images (160 x 120 px resolution) captured from railway brake discs during preventive maintenance. 
The data includes: Original Thermal Frames which are raw captures of brake discs showing various thermal signatures. 
Annotated Masks: Ground-truth labels for three types of cracks: Penetrating, Incipient, and Superficial.
Augmented Samples: Images processed with noise injection and geometric transformations to ensure model robustness.
DOI: 10.17632/gbffch5dmv.1
title: Thermal Brake Disc Fissures

description: The core hypothesis of this research is that integrating localized object detection (YOLOv8m) with fine-grained semantic segmentation (U-Net with a ResNet50 backbone) on thermal infrared imagery significantly enhances the accuracy and reliability of crack detection in railway brake discs compared to conventional visual inspection or single-model AI approaches. Thermal imaging provides superior contrast for identifying heat dissipation patterns around metallic fissures, which are often invisible to the naked eye under industrial conditions.

This dataset contains a comprehensive collection of thermal images (160 x 120 px resolution) captured from railway brake discs during preventive maintenance. 
The data includes: Original Thermal Frames which are raw captures of brake discs showing various thermal signatures. 
Annotated Masks: Ground-truth labels for three types of cracks: Penetrating, Incipient, and Superficial.
Augmented Samples: Images processed with noise injection and geometric transformations to ensure model robustness.
DOI: 10.17632/8xfggdrck9.1
title: Data - Hypothesis Test/ Simulation/ VSM

description: Data used for hyphotesis test, and Simulation
DOI: 10.15468/dl.exwmsz
title: Occurrence Download

description: A dataset containing 5100 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is one of (BRA.26.27_2, BRA.26.9_2, BRA.26.67_2, BRA.26.33_2)",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 5100 records from 100 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004438-260221153910048/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.20383/101.0275
title: EMDNA: Ensemble Meteorological Dataset for North America

description: The Ensemble Meteorological Dataset for North America (EMDNA) contains daily precipitation, mean daily temperature, and daily temperature range at the 0.1-degree resolution from 1979 to 2018. Minimum and maximum temperature can be calculated from mean temperature and temperature range. EMDNA merges station observations and reanalysis model outputs to improve the quality of estimates. The dataset is expected to be useful for hydrological and meteorological applications in North America. Two types of datasets are provided by EMDNA, including the probabilistic dataset and the deterministic dataset. The probabilistic dataset has 100 equally plausible ensemble members, which can be used to evaluate the impact of the uncertainties in a myriad of applications. The deterministic dataset is generated during the production of ensemble members and can be applied in studies that do not need uncertainty estimation.
DOI: 10.15468/dl.e6nwvc
title: Occurrence Download

description: A dataset containing 13 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Eviota rubra"
 ]
}

 The dataset includes 13 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004439-260221153910048/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.