cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.vda4me
title: Occurrence Download

description: A dataset containing 22192 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Distimake Raf., Dontostemon pinnatifidus subsp. pinnatifidus, Doronicum ×willdenowii (Rouy) A.W.Hill, Dracaena trifasciata subsp. trifasciata, Dracocephalum ibericum M.Bieb.)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 22192 records from 484 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004314-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.28883630
title: 花生的 T2T 基因组

description: T2T genome assembly of six peanut species.
DOI: 10.15468/dl.mfrt4r
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-11.27921 29.61014,44.92609 29.61014,44.92609 49.14491,-11.27921 49.14491,-11.27921 29.61014))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Pristis pectinata Latham, 1794"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004318-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9v9w4v
title: Occurrence Download

description: A dataset containing 186 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "TaxonKey is Delonix regia (Bojer ex Hook.) Raf."
 ]
}

 The dataset includes 186 records from 18 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004315-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vendz2
title: Occurrence Download

description: A dataset containing 118 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Diospyros peregrina (Gaertn.) Gürke"
 ]
}

 The dataset includes 118 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004319-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.yqe7ys
title: Occurrence Download

description: A dataset containing 162 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Diploknema butyracea (Roxb.) H.J.Lam"
 ]
}

 The dataset includes 162 records from 25 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004320-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6nyq9e
title: Occurrence Download

description: A dataset containing 750 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Dioscorea pyrifolia Kunth"
 ]
}

 The dataset includes 750 records from 22 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004322-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bsjanc
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-7.47375 29.10741,41.47351 29.10741,41.47351 47.62531,-7.47375 47.62531,-7.47375 29.10741))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Pristis pristis (Linnaeus, 1758)"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004324-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17866/rd.salford.24192219
title: <b>Facial Emotion Recognition Datasets for YOLOv8 Annotation</b>

description: <b>Computer Vision Scientist-Collected Dataset:</b>This facial emotion recognition dataset has been meticulously curated by computer vision scientists using mobile phone cameras to capture candid moments of individuals expressing a spectrum of emotions, including Happy, Sad, Fear, and Humor. The dataset comprises a rich collection of images with diverse angles and backgrounds, providing a realistic portrayal of human emotional expression.<b>Marketing Expert-Collected Dataset:</b>The ethnicity-focused dataset for facial recognition has been meticulously assembled by marketing experts, aiming to shed light on the vital aspect of ethnicity variations in computer vision. With a dedicated focus on ethnicity, this dataset provides a unique perspective for training and testing facial recognition models in an ethnically diverse context.This dataset comprises a rich collection of images capturing individuals from various ethnic backgrounds. It emphasises the importance of ethnicity in the field of computer vision and includes a wide range of facial features, expressions, and poses, thereby enriching the dataset's diversity.By offering insights into the critical area of ethnicity in computer vision, this dataset is a valuable addition to the toolkit of researchers and practitioners, facilitating the development of more inclusive and accurate facial recognition models.Researchers and experts in the fields of computer vision and marketing are encouraged to explore these datasets for their research, model development, and the advancement of understanding in these respective domains.
DOI: 10.17866/rd.salford.24192219.v2
title: <b>Facial Emotion Recognition Datasets for YOLOv8 Annotation</b>

description: <b>Computer Vision Scientist-Collected Dataset:</b>This facial emotion recognition dataset has been meticulously curated by computer vision scientists using mobile phone cameras to capture candid moments of individuals expressing a spectrum of emotions, including Happy, Sad, Fear, and Humor. The dataset comprises a rich collection of images with diverse angles and backgrounds, providing a realistic portrayal of human emotional expression.<b>Marketing Expert-Collected Dataset:</b>The ethnicity-focused dataset for facial recognition has been meticulously assembled by marketing experts, aiming to shed light on the vital aspect of ethnicity variations in computer vision. With a dedicated focus on ethnicity, this dataset provides a unique perspective for training and testing facial recognition models in an ethnically diverse context.This dataset comprises a rich collection of images capturing individuals from various ethnic backgrounds. It emphasises the importance of ethnicity in the field of computer vision and includes a wide range of facial features, expressions, and poses, thereby enriching the dataset's diversity.By offering insights into the critical area of ethnicity in computer vision, this dataset is a valuable addition to the toolkit of researchers and practitioners, facilitating the development of more inclusive and accurate facial recognition models.Researchers and experts in the fields of computer vision and marketing are encouraged to explore these datasets for their research, model development, and the advancement of understanding in these respective domains.
DOI: 10.15468/dl.qa2n8k
title: Occurrence Download

description: A dataset containing 278 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Dipterocarpus alatus Roxb."
 ]
}

 The dataset includes 278 records from 26 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004321-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17866/rd.salford.22495669
title: Facial Emotion Detection Dataset

description: The Facial Emotion Detection Dataset is a collection of images of individuals with two different emotions - happy and sad. The dataset was captured using a mobile phone camera and contains photos taken from different angles and backgrounds.
<br>
The dataset contains a total of 637 photos with an additional dataset of 127 from previous work. Out of the total, 402 images are of happy faces, and 366 images are of sad faces. Each individual had a minimum of 10 images of both expressions.
<br>
The project faced challenges in terms of time constraints and people's constraints, which limited the number of individuals who participated. Despite the limitations, the dataset can be used for deep learning projects and real-time emotion detection models.
Future work can expand the dataset by capturing more images to improve the accuracy of the model. The dataset can also be used to create a custom object detection model to evaluate other types of emotional expressions.
<br>
DOI: 10.17866/rd.salford.21220835
title: Facial Expression Image Dataset for Computer Vision Algorithms

description: The dataset for this project is characterised by photos of individual human emotion expression and these photos are taken with the help of both digital camera and a mobile phone camera from different angles, posture, background, light exposure, and distances. This task might look and sound very easy but there were some challenges encountered along the process which are reviewed below:
1) People constraint
One of the major challenges faced during this project is getting people to participate in the image capturing process as school was on vacation, and other individuals gotten around the environment were not willing to let their images be captured for personal and security reasons even after explaining the notion behind the project which is mainly for academic research purposes. Due to this challenge, we resorted to capturing the images of the researcher and just a few other willing individuals.
2) Time constraint
As with all deep learning projects, the more data available the more accuracy and less error the result will produce. At the initial stage of the project, it was agreed to have 10 emotional expression photos each of at least 50 persons and we can increase the number of photos for more accurate results but due to the constraint in time of this project an agreement was later made to just capture the researcher and a few other people that are willing and available. These photos were taken for just two types of human emotion expression that is, “happy” and “sad” faces due to time constraint too. To expand our work further on this project (as future works and recommendations), photos of other facial expression such as anger, contempt, disgust, fright, and surprise can be included if time permits.
3) The approved facial emotions capture.
It was agreed to capture as many angles and posture of just two facial emotions for this project with at least 10 images emotional expression per individual, but due to time and people constraints few persons were captured with as many postures as possible for this project which is stated below:
Ø Happy faces: 65 images
Ø Sad faces: 62 images
There are many other types of facial emotions and again to expand our project in the future, we can include all the other types of the facial emotions if time permits, and people are readily available.
4) Expand Further.
This project can be improved furthermore with so many abilities, again due to the limitation of time given to this project, these improvements can be implemented later as future works. In simple words, this project is to detect/predict real-time human emotion which involves creating a model that can detect the percentage confidence of any happy or sad facial image. The higher the percentage confidence the more accurate the facial fed into the model.
5) Other Questions
Can the model be reproducible? the supposed response to this question should be YES. If and only if the model will be fed with the proper data (images) such as images of other types of emotional expression.
DOI: 10.6084/m9.figshare.28890551
title: Supplementary Data.xlsx

description: This dataset has one EXCEL. xlsx file with two parts (1: Litter decomposition rate, 2: Soil fauna) in the article, specifically as follow: For the data of Litter decomposition rate, the variations includes Litter decomposition constants (k), Hemicellulose remaining (%), Lignin remaining (%), Total N remaining (%), Total S remaining (%) and Total P remaining (%) . The microsite have four as replicate. the sampling includes the initial substrate data in October 2017 and the subsequent the days of 60 (December 2017), 180 (April 2018), 300 (August 2018), 420 (December 2018), 540 (April 2019) and 660 (August 2019). Soil fauna treatment: Soil fauna present, and Soil fauna absent. Yak excrements addition: no addition (CK), addition of dung only (Dung), addition of urine only (Urine), addition of both dung and urine (Dung+Urine). For the data of Soil fauna, the dataset showed the density soil fauna community in soil underneath the excrement spot under different treatments in the incubation time after 300 days (Aug, 2018) and 660 days (Aug, 2019).<br>
DOI: 10.15468/dl.vqp5mj
title: Occurrence Download

description: A dataset containing 2814434 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "OccurrenceStatus is Present",
 "TaxonKey is Aves",
 "Year 2014-2024"
 ]
}

 The dataset includes 2814434 records from 45 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004316-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6sk6p9
title: Occurrence Download

description: A dataset containing 191176 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Aptenodytes patagonicus J.F.Miller, 1778",
 "HasCoordinate is true",
 "DecimalLatitude is greater than -90",
 "DecimalLatitude is less than 10",
 "DecimalLongitude is greater than -180",
 "OccurrenceStatus is Present",
 "Year is greater than or equal to 1950",
 "Year is less than or equal to 2014"
 ]
}

 The dataset includes 191176 records from 54 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004323-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.28890437.v1
title: Horan et al. 2025 - HorseJockeyInteractions

description: This study explored horse kinematics and co-ordination patterns in racehorse-jockey dyads as they trotted over three surface types (tarmac, artificial and grass), with the jockey adopting rising and two-point seat positions.
DOI: 10.15468/dl.252nd3
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-3.07395 35.19893,-2.65663 35.19893,-2.65663 35.36604,-3.07395 35.36604,-3.07395 35.19893))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Hyla meridionalis Boettger, 1874",
 "Year 1861-2006"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004326-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.28677704
title: Temperature affects reptarenavirus growth in a permissive host-derived in vitro model

description: Supplementary Material for 'Temperature affects reptarenavirus growth in a permissive host-derived in vitro model' as described in <i>Journal of General Virology</i>.<br>In this data repository, the supplementary material (17 figures and 5 tables) of the study entitled "Temperature affects reptarenavirus growth in a permissive host-derived in vitro model" is available. In this <i>in vitro </i>study we analysed the effect of the ambient temperature on reptarenaviruses, the aetiological agent of boid inclusion body disease (BIBD), an ultimately lethal disease that threatens captive boid snake collections as well as wild boa constrictors. BIBD diagnostic hallmark consists in cytoplasmic inclusion bodies (IBs), mainly composed of viral nucleoprotein (NP), in various cell types of the affected animal. In a previous study we showed that reptarenavirus replication and IB formation is efficient in cell cultures maintained at 27-30°C but it is hindered if cells are kept at 37°C, the temperature commonly used for mammalian cell cultures. Here, considering the poikilothermic nature of their reptilian hosts, we were specifically interested in elucidating the optimal permissive temperature range for reptarenaviruses.We therefore incubated <i>Boa constrictor</i> kidney-derived I/1Ki cells, highly permissive to reptarenavirus infection, at different temperatures (24-36°C) and inoculated them with University of Giessen virus 1 (UGV-1). We assessed both cell growth and virus proliferation, the latter via qRT-PCR measurements of viral RNA release per cell and via morphometric analyses on sections of cell pellets immunostained for reptarenavirus NP. We found that the optimal temperature ranges for boid cell growth and reptarenavirus replication overlap at about 32°C.
DOI: 10.6084/m9.figshare.28677704.v1
title: Temperature affects reptarenavirus growth in a permissive host-derived in vitro model

description: Supplementary Material for 'Temperature affects reptarenavirus growth in a permissive host-derived in vitro model' as described in <i>Journal of General Virology</i>.<br>In this data repository, the supplementary material (17 figures and 5 tables) of the study entitled "Temperature affects reptarenavirus growth in a permissive host-derived in vitro model" is available. In this <i>in vitro </i>study we analysed the effect of the ambient temperature on reptarenaviruses, the aetiological agent of boid inclusion body disease (BIBD), an ultimately lethal disease that threatens captive boid snake collections as well as wild boa constrictors. BIBD diagnostic hallmark consists in cytoplasmic inclusion bodies (IBs), mainly composed of viral nucleoprotein (NP), in various cell types of the affected animal. In a previous study we showed that reptarenavirus replication and IB formation is efficient in cell cultures maintained at 27-30°C but it is hindered if cells are kept at 37°C, the temperature commonly used for mammalian cell cultures. Here, considering the poikilothermic nature of their reptilian hosts, we were specifically interested in elucidating the optimal permissive temperature range for reptarenaviruses.We therefore incubated <i>Boa constrictor</i> kidney-derived I/1Ki cells, highly permissive to reptarenavirus infection, at different temperatures (24-36°C) and inoculated them with University of Giessen virus 1 (UGV-1). We assessed both cell growth and virus proliferation, the latter via qRT-PCR measurements of viral RNA release per cell and via morphometric analyses on sections of cell pellets immunostained for reptarenavirus NP. We found that the optimal temperature ranges for boid cell growth and reptarenavirus replication overlap at about 32°C.
DOI: 10.15468/dl.9q22st
title: Occurrence Download

description: A dataset containing 420696 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Pakistan",
 "OccurrenceStatus is Present",
 "Year 2000-2023"
 ]
}

 The dataset includes 420696 records from 282 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004302-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.cmzpef
title: Occurrence Download

description: A dataset containing 5 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Réunion",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Psidium cattleianum Afzel. ex Sabine",
 "Year 1990-1995"
 ]
}

 The dataset includes 5 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004328-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7vyhkv
title: Occurrence Download

description: A dataset containing 113 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-8.46417 28.17932,43.89082 28.17932,43.89082 48.36876,-8.46417 48.36876,-8.46417 28.17932))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Raja brachyura Lafont, 1871"
 ]
}

 The dataset includes 113 records from 20 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004327-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.tjfg2k
title: Occurrence Download

description: A dataset containing 143 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((127.03664 41.80603,138.96932 41.80603,138.96932 51.11352,127.03664 51.11352,127.03664 41.80603))",
 "TaxonKey is Panthera tigris altaica Temminck, 1844"
 ]
}

 The dataset includes 143 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004325-250426092105405/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/11611309
title: Hacker News Cumulative Data
DOI: 10.15468/dl.4kaewa
title: Occurrence Download

description: A dataset containing 251 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Réunion",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Psidium cattleianum Afzel. ex Sabine",
 "Year 1990-2000"
 ]
}

 The dataset includes 251 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004333-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.cvkvtb
title: Occurrence Download

description: A dataset containing 435 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-3.68436 40.51721,-3.68455 40.48413,-3.68719 40.48317,-3.68593 40.48186,-3.68282 40.4809,-3.68386 40.47381,-3.68364 40.46731,-3.67822 40.46747,-3.67486 40.47173,-3.67299 40.48129,-3.67548 40.48453,-3.67406 40.48777,-3.68436 40.51721))",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Aves"
 ]
}

 The dataset includes 435 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004294-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.p5rb4m
title: Occurrence Download

description: A dataset containing 14820 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Acianthera Scheidw."
 ]
}

 The dataset includes 14820 records from 327 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004332-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6fx36r
title: Occurrence Download

description: A dataset containing 30236 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Clintonia borealis (Aiton) Raf."
 ]
}

 The dataset includes 30236 records from 214 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004331-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.