cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.16925454
title: DigitConfuse-23k: A Synthetic Dataset of Digit Confusion Patterns

description:                                               📊 DigitConfuse-23k: A Synthetic Dataset of Digit Confusion Patterns

v  DigitConfuse-23k is a synthetic dataset containing 23,000 images of digit pairs designed to capture visual anomalies and confusion cases commonly encountered in OCR, CAPTCHA recognition, optical illusions and human digit interpretation tasks.

v  Each image contains two-digit numbers generated using the Humor-Sans font (font_size=32, cell_w=60, cell_h=40). For each confusion category, ~1000 images are included.

🔢 Categories of Digit Anomalies

🔸 Digit shape confusion (similar glyphs) → 11 ↔ 17, 21 ↔ 27, 71 ↔ 77

🔄 Mirror / rotation confusion → 69 ↔ 96, 68 ↔ 86, 89↔98,  26 ↔ 62

🎯 One-pixel stroke differences → 33 ↔ 38, 35 ↔ 36, 53 ↔ 58, 39↔89

🌀 Closed vs. open loop confusion → 38 ↔ 88, 98 ↔ 99, 18 ↔ 19, 56↔58, 28↔88

➿ Nearly identical when repeated → 88 ↔ 89, 11 ↔ 12, 55 ↔ 56

👀 Human OCR-like errors (CAPTCHA/OCR cases) → 47 ↔ 17, 57 ↔ 37, 12 ↔ 72, 14 ↔ 74

🎯 Applications

🧪 Benchmarking OCR systems

🛡 Studying digit recognition robustness

🔑 Training models for noisy / CAPTCHA-like digits

🚨 Anomaly detection in digit datasets

⚙️ Technical Details

📂 Total images: 23,000

📑 Categories: 23 confusion pairs

✍️ Font: Humor-Sans.ttf

🔠 Font size: 32

📏 Image cell size: 60 × 40 pixels,  2400x1000 image resolution

👉 This dataset provides a controlled testbed for studying digit misclassification under visually ambiguous conditions.

📦 How to Use

There are three files. One zip file contains all the images. The other two files contain meta information. 

1.JSONL format (VQA-style for VLM testing)

Each entry includes:

🖼 image → file path to the digit image

❓ question → natural language query

✅ answer → ground truth numbers

2.CSV format (digit confusion localization)

The .csv file provides metadata about anomaly location:

🖼 image → file path

📌 location → anomaly position (row, col)

🚀 Suggested Use Cases

🤖 VLM evaluation → Test Qwen-VL, InternVL, LLaVA on fine-grained OCR tasks

📊 OCR benchmarking → Compare CNN-based OCR vs. multimodal LLMs

🔄 Data augmentation research → Train models to handle ambiguity

🕵️ Anomaly detection → Use confusion pairs as “hard negatives” for OCR

🧪 Real-World Testing with Ovis 2.5-9B (Latest Release)

We evaluated a subset of images using Ovis 2.5-9B (released Aug 2025).

🖼 Native-resolution ViT (NaViT) → preserves fine details for loop/ stroke differences

🔎 Reflective inference mode → improves reasoning under ambiguous digit confusions

🏆 Benchmark leader → achieves 78.3 avg. score on OpenCompass best among <40B param open-source models)

📌 Observation: Ovis 2.5-9B performed robustly across one-pixel stroke, mirror/rotation, and loop closure confusions, proving this dataset’s value for fine-grained OCR evaluation with VLMs.

Hence, any VLM can be tested for its fine grain digit classification amongst confusing digits.
DOI: 10.5281/zenodo.16925455
title: DigitConfuse-23k: A Synthetic Dataset of Digit Confusion Patterns

description:                                               📊 DigitConfuse-23k: A Synthetic Dataset of Digit Confusion Patterns

v  DigitConfuse-23k is a synthetic dataset containing 23,000 images of digit pairs designed to capture visual anomalies and confusion cases commonly encountered in OCR, CAPTCHA recognition, optical illusions and human digit interpretation tasks.

v  Each image contains two-digit numbers generated using the Humor-Sans font (font_size=32, cell_w=60, cell_h=40). For each confusion category, ~1000 images are included.

🔢 Categories of Digit Anomalies

🔸 Digit shape confusion (similar glyphs) → 11 ↔ 17, 21 ↔ 27, 71 ↔ 77

🔄 Mirror / rotation confusion → 69 ↔ 96, 68 ↔ 86, 89↔98,  26 ↔ 62

🎯 One-pixel stroke differences → 33 ↔ 38, 35 ↔ 36, 53 ↔ 58, 39↔89

🌀 Closed vs. open loop confusion → 38 ↔ 88, 98 ↔ 99, 18 ↔ 19, 56↔58, 28↔88

➿ Nearly identical when repeated → 88 ↔ 89, 11 ↔ 12, 55 ↔ 56

👀 Human OCR-like errors (CAPTCHA/OCR cases) → 47 ↔ 17, 57 ↔ 37, 12 ↔ 72, 14 ↔ 74

🎯 Applications

🧪 Benchmarking OCR systems

🛡 Studying digit recognition robustness

🔑 Training models for noisy / CAPTCHA-like digits

🚨 Anomaly detection in digit datasets

⚙️ Technical Details

📂 Total images: 23,000

📑 Categories: 23 confusion pairs

✍️ Font: Humor-Sans.ttf

🔠 Font size: 32

📏 Image cell size: 60 × 40 pixels,  2400x1000 image resolution

👉 This dataset provides a controlled testbed for studying digit misclassification under visually ambiguous conditions.

📦 How to Use

There are three files. One zip file contains all the images. The other two files contain meta information. 

1.JSONL format (VQA-style for VLM testing)

Each entry includes:

🖼 image → file path to the digit image

❓ question → natural language query

✅ answer → ground truth numbers

2.CSV format (digit confusion localization)

The .csv file provides metadata about anomaly location:

🖼 image → file path

📌 location → anomaly position (row, col)

🚀 Suggested Use Cases

🤖 VLM evaluation → Test Qwen-VL, InternVL, LLaVA on fine-grained OCR tasks

📊 OCR benchmarking → Compare CNN-based OCR vs. multimodal LLMs

🔄 Data augmentation research → Train models to handle ambiguity

🕵️ Anomaly detection → Use confusion pairs as “hard negatives” for OCR

🧪 Real-World Testing with Ovis 2.5-9B (Latest Release)

We evaluated a subset of images using Ovis 2.5-9B (released Aug 2025).

🖼 Native-resolution ViT (NaViT) → preserves fine details for loop/ stroke differences

🔎 Reflective inference mode → improves reasoning under ambiguous digit confusions

🏆 Benchmark leader → achieves 78.3 avg. score on OpenCompass best among <40B param open-source models)

📌 Observation: Ovis 2.5-9B performed robustly across one-pixel stroke, mirror/rotation, and loop closure confusions, proving this dataset’s value for fine-grained OCR evaluation with VLMs.

Hence, any VLM can be tested for its fine grain digit classification amongst confusing digits.
DOI: 10.15468/dl.7nyhsg
title: Occurrence Download

description: A dataset containing 17501 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "TaxonKey is Calamagrostis lapponica"
 ]
}

 The dataset includes 17501 records from 130 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0031370-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.21227/r452-4b87
title: "UAV small arms experimental firings input data"

description: "Data from experimental firing HK24"
DOI: 10.71569/rfga-0r17
title: DESIGN-BASED RESEARCH IN HIGHER EDUCATION: A SYSTEMATIC LITERATURE REVIEW BETWEEN 2019 AND 2023

description: This database contains international articles that refer to research processes that employ the Design-Based Research methodological approach in the field of Higher Education between 2019 and 2023. These articles have been analyzed to conduct a systematic review of their content.
DOI: 10.15468/dl.ka72r7
title: Occurrence Download

description: A dataset containing 6869 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Amaranthus palmeri"
 ]
}

 The dataset includes 6869 records from 295 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0031371-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.b7enfq
title: Occurrence Download

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

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0031373-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zr982z
title: Occurrence Download

description: A dataset containing 10 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Epinephelus malabaricus",
 "Country is Egypt",
 "HasCoordinate is true"
 ]
}

 The dataset includes 10 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0031372-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qhu3gt
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Epinephelus malabaricus",
 "Country is Malta",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0031374-250811113504898/datasets/export for details.
DOI: 10.18150/l2rhia
title: ApeFD: Apemen Faces Database

description: The dataset contains 620 photorealistic portrait images of 31 hominin-like faces (15 female, 16 male), available in multiple ocular colouration variants, paired with geometric morphometric and norming data. The images are to be used for qualitative and quantitative analyses as well as stimuli in experimental studies. A detailed description of the methodology adopted to create the dataset is included in the readme.txt file.
DOI: 10.6084/m9.figshare.29966401
title: Global temperature sensitivity of soil respiration (Q<sub>10</sub>) product from 1992 to 2018 at 5cm soil depth and from 1995 to 2018 at 10cm soil depth

description: This code is for generating the soil respiration temperature sensitivity (Q<sub>10</sub>) product (unitless) from 1992 to 2018 at 5cm soil depth and from 1995 to 2018 at 10cm soil depth. Estimates were predicted using field observations and environmental variables with random forest models at global scale.The Q<sub>10</sub> products are at a 0.05 degree spatial resolution and yearly intervals.To save space, Q<sub>10</sub> products are compressed to zip files, and can be unziped using the software following https://www.wikihow.com/Unzip-a-File.The R code is provided to reproduce the study (files with ".R"), including the code to produce Q<sub>10</sub> maps and other analysis (e.g. trend analysis, SHAP analysis).We also provide the dataset of Q<sub>10</sub> field observations in global terrestrial ecosystems, which were collected from published literatures (“full.dat.csv”).
DOI: 10.6084/m9.figshare.29966401.v1
title: Global temperature sensitivity of soil respiration (Q<sub>10</sub>) product from 1992 to 2018 at 5cm soil depth and from 1995 to 2018 at 10cm soil depth

description: This code is for generating the soil respiration temperature sensitivity (Q<sub>10</sub>) product (unitless) from 1992 to 2018 at 5cm soil depth and from 1995 to 2018 at 10cm soil depth. Estimates were predicted using field observations and environmental variables with random forest models at global scale.The Q<sub>10</sub> products are at a 0.05 degree spatial resolution and yearly intervals.To save space, Q<sub>10</sub> products are compressed to zip files, and can be unziped using the software following https://www.wikihow.com/Unzip-a-File.The R code is provided to reproduce the study (files with ".R"), including the code to produce Q<sub>10</sub> maps and other analysis (e.g. trend analysis, SHAP analysis).We also provide the dataset of Q<sub>10</sub> field observations in global terrestrial ecosystems, which were collected from published literatures (“full.dat.csv”).
DOI: 10.15468/dl.m8xnaf
title: Occurrence Download

description: A dataset containing 242226 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Passer domesticus",
 "Country is South Africa",
 "HasCoordinate is true"
 ]
}

 The dataset includes 242226 records from 24 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0031343-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4c2ntg
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Pelates quadrilineatus",
 "Country is Lebanon",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0031378-250811113504898/datasets/export for details.
DOI: 10.15468/dl.fhcvhz
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Pelates quadrilineatus",
 "Country is Egypt",
 "HasCoordinate is true"
 ]
}

 The dataset includes 2 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0031375-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.tpkpeq
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Pelates quadrilineatus",
 "Country is Israel",
 "HasCoordinate is true"
 ]
}

 The dataset includes 2 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0031376-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rqy3gu
title: Occurrence Download

description: A dataset containing 12385 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "TaxonKey is Glyceria striata"
 ]
}

 The dataset includes 12385 records from 340 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0031377-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.16925590
title: One Qubit, Many Computation Systems (OQMCS)- A Phi^Q and Stable Probability Based Framework for Gas Qubit and Airborne Quantum
DOI: 10.5281/zenodo.3948348
title: Politecnico di Milano - Wind tunnel test data on high-rise building

description: High-resolution pressure data recorded in wind tunnel tests performed at the Politecnico di Milano wind tunnel on a generic prismatic high-rise building.If you use these data, please cite:Lamberti, G., Amerio, L., Pomaranzi, G., Zasso, A., & Gorlé, C. (2020). Comparison of high resolution pressure measurements on a high-rise building in a closed and open-section wind tunnel. Journal of wind engineering and industrial aerodynamics, 204, 104247. DOI: 10.1016/j.jweia.2020.104247
DOI: 10.5281/zenodo.3906588
title: Politecnico di Milano - Wind tunnel test data on high-rise building

description: High-resolution pressure data recorded in wind tunnel tests performed at the Politecnico di Milano wind tunnel on a generic prismatic high-rise building.If you use these data, please cite:Lamberti, G., Amerio, L., Pomaranzi, G., Zasso, A., & Gorlé, C. (2020). Comparison of high resolution pressure measurements on a high-rise building in a closed and open-section wind tunnel. Journal of wind engineering and industrial aerodynamics, 204, 104247. DOI: 10.1016/j.jweia.2020.104247
DOI: 10.15468/dl.t54h4b
title: Occurrence Download

description: A dataset containing 166570 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Araneae, Pseudoscorpiones, Trombidiformes, Archaeognatha, Blattodea, Coleoptera, Dermaptera, Diptera, Embioptera, Ephemeroptera, Grylloblattodea, Hemiptera, Hymenoptera, Lepidoptera, Mantodea, Mecoptera, Plecoptera, Neuroptera, Odonata, Orthoptera, Plecoptera, Psocodea, Siphonaptera, Strepsiptera, Thysanoptera, Trichoptera, Zygentoma, Uropygi, Megaloptera, Raphidioptera, Opiliones, Sarcoptiformes, Scorpiones, Schizomida, Amblypygi, Solifugae, Ricinulei, Palpigradi, Mantophasmatodea, Zoraptera)",
 "HasCoordinate is true",
 "Country is Japan",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is Fossil"
 ]
 }
 },
 "Year is greater than or equal to 1970",
 "CoordinateUncertaintyInMeters is less than 3000"
 ]
}

 The dataset includes 166570 records from 58 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0031358-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34740/kaggle/dsv/12834744
title: Peer-to-Peer Boliviano (BOB) Exchange Data
DOI: 10.15468/dl.uj2fkb
title: Occurrence Download

description: A dataset containing 1392 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Passer domesticus",
 "Country is Viet Nam",
 "HasCoordinate is true"
 ]
}

 The dataset includes 1392 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0031380-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.z9hd9k
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Pelates quadrilineatus",
 "Country is Syrian Arab Republic",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0031381-250811113504898/datasets/export for details.
DOI: 10.15468/dl.6tdwv6
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Pelates quadrilineatus",
 "Country is Türkiye",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0031382-250811113504898/datasets/export for details.
DOI: 10.6084/m9.figshare.29966374
title: Dataset surveys with individuals 5 rounds, n=9000, 2020-2024 Sharing economy and micromobility in cities and suburban areas/ Dane z ankiet z osobami indywidualnymi 5 tur, n=9000, 2020-2024, Ekonomia współdzielenia i mikromobilność w miastach i strefach podmiejskich

description: Dataset for altogether 9000 surveyed persons in five rounds with the same questionnaire about their use of sharing economy and micomobility in urban and suburban areas.Additionally, original questionnaire is added in Polish and translated to English.The results for analysis are not published yet.<br>Please use this dataset for your purposes and cite the source using DOI.
DOI: 10.6084/m9.figshare.29966374.v1
title: Dataset surveys with individuals 5 rounds, n=9000, 2020-2024 Sharing economy and micromobility in cities and suburban areas/ Dane z ankiet z osobami indywidualnymi 5 tur, n=9000, 2020-2024, Ekonomia współdzielenia i mikromobilność w miastach i strefach podmiejskich

description: Dataset for altogether 9000 surveyed persons in five rounds with the same questionnaire about their use of sharing economy and micomobility in urban and suburban areas.Additionally, original questionnaire is added in Polish and translated to English.The results for analysis are not published yet.<br>Please use this dataset for your purposes and cite the source using DOI.
DOI: 10.5281/zenodo.16925604
title: Phi^Q พร้อมการแจกแจงความน่าจะเป็นแบบเสถียรและแนวคิด OQMCS บนคิวบิตแบบก๊าซ
DOI: 10.5281/zenodo.10515302
title: An actor-model framework for visual sensory encoding

description: This folder contains the dataset used in the article 'An actor-model framework for visual sensory encoding'. 



There are three main folders

'models' contains the trained neural network for the different experiments.The code to load the model and generate the figures in the article is availablein https://github.com/lne-lab/actor-retinaor at https://doi.org/10.5281/zenodo.10519578

'spikes_data' contains the data used to train the neural network.This can be used to train a network from scratch. 

'Van_Hateren_image' contains the image dataset used in the experiments.
DOI: 10.5281/zenodo.16925142
title: Particulate Organic Carbon (POC) Dominates Riverine Organic Carbon  Lateral Export on the Qinghai-Tibetan Plateau

description: 该数据集综合整合了青藏高原长江源区8个典型流域2024年解冻季(5—10月)的多源、多尺度观测和模拟数据。旨在揭示受冻土影响的河流系统中颗粒碳传输的时空动力学和驱动机制。该数据集由六个核心组件组成:





流域特征:为每个采样点提供地理、地形、植被和永久冻土覆盖属性,为空间分析提供背景信息。




每周气象水文数据:包括每周分辨率的气温、降水和河流流量,有助于水文气候驱动因素分析。




季节性水化学变异性:捕获不同水文季节(解冻、解冻、冷冻)的水化学性质。




LOADEST 模型性能和系数:提供模型系数和拟合优度 (R²),用于估计 POC 和 PIC 通量,确保数据可靠性。




每周颗粒碳通量:包含 POC 和 PIC 浓度、每日负荷和年化面积归一化通量,按流域大小分类。




通量估算方法详解:阐明基于LOADEST模型的通量计算工作流程和单位换算。



所有数据均通过高频原位监测和机理建模相结合生成,突出了POC在有机碳输出中的主导作用,并强调了冻融循环和水文过程对碳损失的调节作用。该数据集适用于量化高寒多年冻土河流碳运移强度,评估气候变暖下的碳循环反馈,并支持流域尺度生物地球化学模型的标定。
DOI: 10.5281/zenodo.16925141
title: Particulate Organic Carbon (POC) Dominates Riverine Organic Carbon  Lateral Export on the Qinghai-Tibetan Plateau

description: 该数据集综合整合了青藏高原长江源区8个典型流域2024年解冻季(5—10月)的多源、多尺度观测和模拟数据。旨在揭示受冻土影响的河流系统中颗粒碳传输的时空动力学和驱动机制。该数据集由六个核心组件组成:





流域特征:为每个采样点提供地理、地形、植被和永久冻土覆盖属性,为空间分析提供背景信息。




每周气象水文数据:包括每周分辨率的气温、降水和河流流量,有助于水文气候驱动因素分析。




季节性水化学变异性:捕获不同水文季节(解冻、解冻、冷冻)的水化学性质。




LOADEST 模型性能和系数:提供模型系数和拟合优度 (R²),用于估计 POC 和 PIC 通量,确保数据可靠性。




每周颗粒碳通量:包含 POC 和 PIC 浓度、每日负荷和年化面积归一化通量,按流域大小分类。




通量估算方法详解:阐明基于LOADEST模型的通量计算工作流程和单位换算。



所有数据均通过高频原位监测和机理建模相结合生成,突出了POC在有机碳输出中的主导作用,并强调了冻融循环和水文过程对碳损失的调节作用。该数据集适用于量化高寒多年冻土河流碳运移强度,评估气候变暖下的碳循环反馈,并支持流域尺度生物地球化学模型的标定。
DOI: 10.15468/dl.qz76nr
title: Occurrence Download

description: A dataset containing 1175 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Passer domesticus",
 "Country is Zambia",
 "HasCoordinate is true"
 ]
}

 The dataset includes 1175 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0031386-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.x6vjyj
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Terapon puta",
 "Country is Egypt",
 "HasCoordinate is true"
 ]
}

 The dataset includes 2 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0031387-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3xwhyh
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Terapon puta",
 "Country is Lebanon",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0031388-250811113504898/datasets/export for details.
DOI: 10.15468/dl.2gskre
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Terapon puta",
 "Country is Syrian Arab Republic",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0031389-250811113504898/datasets/export for details.
DOI: 10.15468/dl.gj7vf8
title: Occurrence Download

description: A dataset containing 4 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Pseudochalceus longianalis)",
 "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 4 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0031390-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.