cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.xn56rq
title: Occurrence Download

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

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000240-250717081556266/datasets/export for details.
DOI: 10.15468/dl.etnbb5
title: Occurrence Download

description: A dataset containing 7 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Brachiaria mutica",
 "Country is Papua New Guinea",
 "HasCoordinate is true"
 ]
}

 The dataset includes 7 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000242-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3535/fnv-gye-sz3
title: Indeterminatae-dicot

description: Digital Specimen for the physical specimen hosted at Natural History Museum Vienna.
DOI: 10.15468/dl.mqr74w
title: Occurrence Download

description: A dataset containing 64 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Colletotrichum boninense"
 ]
}

 The dataset includes 64 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000243-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25935/1fqm-fs07
title: A catalogue of Jovian decametric radio observations from January 1978 to December 1990
DOI: 10.3535/j51-g2c-amn
title: Rumex bequaertii De Wild.

description: Digital Specimen for the physical specimen hosted at Natural History Museum Vienna.
DOI: 10.15468/dl.jq5bt4
title: Occurrence Download

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

 The dataset includes 2 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000247-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.k32jjg
title: Occurrence Download

description: A dataset containing 3 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Brachiaria mutica",
 "Country is Peru",
 "HasCoordinate is true"
 ]
}

 The dataset includes 3 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000246-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.692vz5
title: Occurrence Download

description: A dataset containing 17 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Chrysochamela elliptica"
 ]
}

 The dataset includes 17 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000248-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xzaccq
title: Occurrence Download

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

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000249-250717081556266/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/12496755
title: Peer-to-Peer Boliviano (BOB) Exchange Data
DOI: 10.3535/r7j-nqf-vvp
title: Verrucaria canella Nyl.

description: Digital Specimen for the physical specimen hosted at Natural History Museum Vienna.
DOI: 10.3535/k4s-1q9-nph
title: Verrucaria cernaensis Zschacke

description: Digital Specimen for the physical specimen hosted at Natural History Museum Vienna.
DOI: 10.15468/dl.hxaf8v
title: Occurrence Download

description: A dataset containing 27 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "OccurrenceStatus is Present",
 "TaxonKey is Dumetia atriceps nigrifrons"
 ]
}

 The dataset includes 27 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000252-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qvcb8n
title: Occurrence Download

description: A dataset containing 15120 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((13.70709 43.90214,40.84209 43.69508,40.84209 54.80594,26.40663 55.33018,13.70709 55.22664,13.70709 43.90214))",
 "HasGeospatialIssue is false",
 "TaxonKey is Circus pygargus",
 "Year 1991-2025"
 ]
}

 The dataset includes 15120 records from 83 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000251-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3535/cnc-jqm-kfk
title: Strigula lobulosa Kunze ex Fr.

description: Digital Specimen for the physical specimen hosted at Natural History Museum Vienna.
DOI: 10.15468/dl.s9yujn
title: Occurrence Download

description: A dataset containing 155 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Aethionema speciosum"
 ]
}

 The dataset includes 155 records from 27 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000253-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.u2etpr
title: Occurrence Download

description: A dataset containing 12 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Brachiaria mutica",
 "Country is United States of America",
 "HasCoordinate is true"
 ]
}

 The dataset includes 12 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000255-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.r7nhk9
title: Occurrence Download

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

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000256-250717081556266/datasets/export for details.
DOI: 10.15468/dl.fz2m56
title: Occurrence Download

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

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000254-250717081556266/datasets/export for details.
DOI: 10.15468/dl.kqtpff
title: Occurrence Download

description: A dataset containing 404 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Colletotrichum coccodes"
 ]
}

 The dataset includes 404 records from 40 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000257-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15905860
title: Tree Counting and Species Identification

description:  

### 📦 Dataset Description

#### 🟢 Dataset 1: **Homogeneous Tree Species Dataset**

This dataset consists of images from **four different tree species**, organized into three subsets:

* **Training*** **Validation*** **Test**

The number of samples per class has been balanced across all subsets using **data augmentation techniques**. This balancing ensures that the model does not become biased toward any specific tree class and maintains **equal sensitivity across all categories**.

---

#### 🔴 Dataset 2: **Tree Centers from TreeCountNet**

This dataset contains the predicted **coordinates of tree centers** generated by a **regression-based deep network called TreeCountNet**. The training process for TreeCountNet included:

1. Initial training on **incomplete dot-map annotations**2. Further improvement using **pseudo-labeling techniques**

This network achieved **over 90% accuracy** in locating tree positions. The predicted coordinates are stored in the `dots_csv` folder and are later used for generating red points in the test images.

---

#### 🔵 Dataset 3: **Images with Red Dots at Tree Centers**

This dataset contains modified versions of the training and validation images from **Dataset 1**, where:

* A **red dot with a radius of 5 pixels** is drawn at the **center of each labeled bounding box**.* These red points visually represent the exact location of each labeled tree.* For the **test subset**, red dots are drawn using the coordinates provided by the TreeCountNet predictions (i.e., from **Dataset 2**) instead of manual labels.

---

### 🧾 CSV Files Structure

For all three subsets (train, validation, and test), the corresponding CSV annotation files follow this format:

| filename         | class | xmin  | ymin  | xmax  | ymax  || ---------------- | ----- | ----- | ----- | ----- | ----- || `image_name.tif` | 1–4   | float | float | float | float |

These files are used for:

* Training object detection models* Visualizing labeled data* Evaluating prediction accuracy

---GitHub Link : https://github.com/beheshtiniya/-Tree-Counting-and-Species-Classification-in-Dense-Forests-Using-Aerial-Imagery-and-Hybrid-Regressio
DOI: 10.5281/zenodo.15905861
title: Tree Counting and Species Identification

description:  

### 📦 Dataset Description

#### 🟢 Dataset 1: **Homogeneous Tree Species Dataset**

This dataset consists of images from **four different tree species**, organized into three subsets:

* **Training*** **Validation*** **Test**

The number of samples per class has been balanced across all subsets using **data augmentation techniques**. This balancing ensures that the model does not become biased toward any specific tree class and maintains **equal sensitivity across all categories**.

---

#### 🔴 Dataset 2: **Tree Centers from TreeCountNet**

This dataset contains the predicted **coordinates of tree centers** generated by a **regression-based deep network called TreeCountNet**. The training process for TreeCountNet included:

1. Initial training on **incomplete dot-map annotations**2. Further improvement using **pseudo-labeling techniques**

This network achieved **over 90% accuracy** in locating tree positions. The predicted coordinates are stored in the `dots_csv` folder and are later used for generating red points in the test images.

---

#### 🔵 Dataset 3: **Images with Red Dots at Tree Centers**

This dataset contains modified versions of the training and validation images from **Dataset 1**, where:

* A **red dot with a radius of 5 pixels** is drawn at the **center of each labeled bounding box**.* These red points visually represent the exact location of each labeled tree.* For the **test subset**, red dots are drawn using the coordinates provided by the TreeCountNet predictions (i.e., from **Dataset 2**) instead of manual labels.

---

### 🧾 CSV Files Structure

For all three subsets (train, validation, and test), the corresponding CSV annotation files follow this format:

| filename         | class | xmin  | ymin  | xmax  | ymax  || ---------------- | ----- | ----- | ----- | ----- | ----- || `image_name.tif` | 1–4   | float | float | float | float |

These files are used for:

* Training object detection models* Visualizing labeled data* Evaluating prediction accuracy

---GitHub Link : https://github.com/beheshtiniya/-Tree-Counting-and-Species-Classification-in-Dense-Forests-Using-Aerial-Imagery-and-Hybrid-Regressio
DOI: 10.15468/dl.xyd9ut
title: Occurrence Download

description: A dataset containing 900755 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Country is Cambodia"
 ]
}

 The dataset includes 900755 records from 34 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000192-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fxz7ze
title: Occurrence Download

description: A dataset containing 7635 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON ((16.710572357727614 48.009756670129306, 16.84044840224163 48.001738154773086, 16.852301404051378 48.089538507813614, 16.72220353884672 48.097573006494244, 16.710572357727614 48.009756670129306))"
 ]
}

 The dataset includes 7635 records from 43 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000258-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.21227/5tgw-ja50
title: "Hybrid-Potent4D Dataset"

description: "Dataset consists of malware binaries and benign binaries from various sources and freshly installed Windows 7 and Windows 10 machines. The malware composition includes spyware, ransomware, adware, trojans, and rogues. We verify the benign binaries with the VirusTotal Academic API key."
DOI: 10.15468/dl.42dmyt
title: Occurrence Download

description: A dataset listing the 1347 species recorded in GBIF matching the query:
{
 "and" : [
 "Country is Tanzania, United Republic of",
 "OccurrenceStatus is Present",
 "TaxonKey is Mammalia"
 ]
}

 The dataset's 1347 records were derived from 133 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000244-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3535/vhh-e7d-8dp
title: Porina mastoidestera Müll. Arg.

description: Digital Specimen for the physical specimen hosted at Natural History Museum Vienna.
DOI: 10.15468/dl.t2hzdq
title: Occurrence Download

description: A dataset containing 973 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Lychnorhizidae"
 ]
}

 The dataset includes 973 records from 32 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000260-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.h2d5g5
title: Occurrence Download

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

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000259-250717081556266/datasets/export for details.
DOI: 10.5281/zenodo.16026487
title: Global Naphthalene Sulfonate Market 2025 To 2034

description: Naphthalene Sulfonate Market Size, Trends and Insights By Form (Liquid, Powder), By Application (Dispersant & Wetting Agent, Surfactant, Plasticizer, Other), By End Use (Building & Construction, Agriculture, Household Cleaning, Textile, Others), and By Region - Global Industry Overview, Statistical Data, Competitive Analysis, Share, Outlook, and Forecast 2025 – 2034.

Reports Description

As per the Naphthalene Sulfonate Market analysis conducted by the CMI Team, the global Naphthalene Sulfonate Market is expected to record a CAGR of 3.16% from 2025 to 2034. In 2025, the market size is projected to reach a valuation of USD 841.78 Million. By 2034, the valuation is anticipated to reach USD1,113.50 Million.

For more information, DOWNLOAD FREE SAMPLE Now at https://www.custommarketinsights.com/request-for-free-sample/?reportid=71341
DOI: 10.5281/zenodo.16026488
title: Global Naphthalene Sulfonate Market 2025 To 2034

description: Naphthalene Sulfonate Market Size, Trends and Insights By Form (Liquid, Powder), By Application (Dispersant & Wetting Agent, Surfactant, Plasticizer, Other), By End Use (Building & Construction, Agriculture, Household Cleaning, Textile, Others), and By Region - Global Industry Overview, Statistical Data, Competitive Analysis, Share, Outlook, and Forecast 2025 – 2034.

Reports Description

As per the Naphthalene Sulfonate Market analysis conducted by the CMI Team, the global Naphthalene Sulfonate Market is expected to record a CAGR of 3.16% from 2025 to 2034. In 2025, the market size is projected to reach a valuation of USD 841.78 Million. By 2034, the valuation is anticipated to reach USD1,113.50 Million.

For more information, DOWNLOAD FREE SAMPLE Now at https://www.custommarketinsights.com/request-for-free-sample/?reportid=71341
DOI: 10.15468/dl.kzxmah
title: Occurrence Download

description: A dataset containing 114 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Magnolia sororum"
 ]
}

 The dataset includes 114 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000263-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3535/2q5-h2g-h4m
title: Verrucaria cernaensis Zschacke

description: Digital Specimen for the physical specimen hosted at Natural History Museum Vienna.
DOI: 10.15468/dl.7av5kq
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Litopenaeus vannamei",
 "Country is Venezuela (Bolivarian Republic of)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000262-250717081556266/datasets/export for details.
DOI: 10.15468/dl.zne6vy
title: Occurrence Download

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

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000261-250717081556266/datasets/export for details.
DOI: 10.15468/dl.7zb36y
title: Occurrence Download

description: A dataset containing 84023189 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is one of (Cotylanthera paucisquama, Cotyledon oreades, Courtoisina cyperoides, Cousinia thomsonii, Craibiodendron henryi, Craigia yunnanensis, Crambe cordifolia, Craniotome furcata, Crassocephalum crepidioides, Crassula campestris, Crassula indica, Crassula schimperi, Crateva adansonii, Crateva religiosa, Crateva unilocularis, Crawfurdia affinis, Crawfurdia angustata, Crawfurdia campanulacea, Crawfurdia crawfurdioides crawfurdioides, Crawfurdia crawfurdioides iochroa, Crawfurdia delavayi, Crawfurdia gracilipes, Crawfurdia lobatilimba, Crawfurdia nyingchiensis, Crawfurdia puberula, Crawfurdia speciosa, Cremanthodium angustifolium, Cremanthodium arnicoides, Cremanthodium bhutanicum, Cremanthodium botryocephalum, Cremanthodium bulbilliferum, Cremanthodium bupleurifolium, Cremanthodium campanulatum, Cremanthodium conaense, Cremanthodium cordatum, Cremanthodium decaisnei, Cremanthodium discoideum, Cremanthodium ellisii ellisii, Cremanthodium forrestii, Cremanthodium hookeri, Cremanthodium humile, Cremanthodium lingulatum, Cremanthodium microphyllum, Cremanthodium nanum, Cremanthodium nepalense, Cremanthodium nepalense, Cremanthodium nervosum, Cremanthodium nobile, Cremanthodium oblongatum, Cremanthodium obovatum, Cremanthodium palmatum, Cremanthodium phyllodineum, Cremanthodium pinnatifidum, Cremanthodium pinnatisectum, Cremanthodium pseudooblongatum, Cremanthodium purpureifolium, Cremanthodium reniforme, Cremanthodium retusum, Cremanthodium rhodocephalum, Cremanthodium smithianum, Cremanthodium spathulifolium, Cremanthodium thomsonii, Cremanthodium trilobum, Cremanthodium variifolium, Cremanthodium yadongense, Cremastra appendiculata, Crepidifolium tenuifolium, Crepidium acuminatum, Crepidium aphyllum, Crepidium biauritum, Crepidium calophyllum, Crepidium josephianum, Crepidium khasianum, Crepidium mackinnonii, Crepidium maximowiczianum, Crepidium purpureum, Crepidium saprophytum, Crepis elongata, Asteraceae, Crepis himalaica, Crepis kashmirica, Crepis multicaulis, Crepis porrifolia, Crepis sancta, Crinum amoenum, Crinum latifolium, Crinum lorifolium, Crinum stracheyi, Crinum wattii, Crotalaria acicularis, Crotalaria alata, Crotalaria albida, Crotalaria assamica, Crotalaria bracteata, Crotalaria burhia, Crotalaria calycina, Fabaceae, Crotalaria cytisoides, Crotalaria, Crotalaria hirsuta)"
 ]
}

 The dataset includes 84023189 records from 10502 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000227-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/fns3x4bg6s.1
title: Handwritten Marathi Character Dataset in Devanagari Script

description: This dataset consists of handwritten Marathi characters written in the Devanagari script. All samples were collected manually and scanned at 300 DPI resolution. Each image is preprocessed and converted into a 28×28 grayscale format for consistency and compatibility with deep learning models.
The dataset is designed to support research in Optical Character Recognition (OCR), character recognition, and pattern classification tasks. It provides a valuable resource for training and evaluating models such as Convolutional Neural Networks (CNNs) and Quantum Neural Networks (QNNs).
This dataset aims to contribute to the development of efficient recognition systems for the Marathi language and promote research in regional language processing using the Devanagari script.
DOI: 10.34810/data1773
title: Replication data for: Surpassing the constraint of stereospecificity in artificial inclusion bodies fabricated through Zn-His coordination

description: This work features the development of artificial protein micro-granules for clinical applications, inspired by naturally occurring amyloid structures in bacterial inclusion bodies and mammalian endocrine granules. The authors developed these synthetic granules using a reversible coordination method involving histidine residues and zinc ions (Zn+2). Unlike natural systems, which rely on stereospecificity, the authors demonstrated that their approach allows the formation of hybrid protein materials using two distinct polypeptides, without requiring structural similarities. This method enables the creation of combined protein depots, offering new possibilities for delivering therapeutic proteins in defined ratios and potentially enhancing functional synergies for medical applications.
description: Pending acceptance of related publication.
description: Fiji, 1.53c
description: ZS XPLORER, 2.0.1.1
DOI: 10.6084/m9.figshare.28738244.v22
title: Logic innovation

description: Logic innovation 9-pdf