cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.21227/h6nf-wa55
title: CogTrack Visualization Files

description: This data contains 6 json files used for our CogTrack visualization app. These data files contain score from the games developed by us. The scores are obtained from the real world players who played our games. There were a total of 3 games. Two games were in immersive virtual reality (Hand eye game and the Movement game). The third game was in the memory domain, and consisted of 4 levels. Accordingly, the memory game had 4 scores for each level. For each immersive game, players played three trials of each game. Thus, for both hand eye and navigation game, you will find three scores.
DOI: 10.15468/dl.uck97d
title: Occurrence Download

description: A dataset containing 840 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Echium gaditanum Boiss."
 ]
}

 The dataset includes 840 records from 59 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013056-240906103802322/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.26968159
title: Annotated corpus for traditional formula-disease relationships in biomedical articles

description: Annotated Corpus for Traditional Formula-Disease RelationshipsThe Traditional Formula (TF), a combination of two or more herbs prepared in accordance with traditional medicine principles, is increasingly garnering global attention as an alternative to modern medicine. Specifically, there is growing interest in exploring TF's therapeutic effects across various diseases. A significant portion of the state-of-the-art knowledge regarding the relationship between TF and disease is found in scientific publications, where manual knowledge extraction is impractical. Thus, Natural Language Processing (NLP) is being employed to efficiently and accurately search and extract crucial knowledge from unstructured literatures. However, the absence of a high-quality manually annotated corpus focusing on TF-disease relationships hampers the use of NLP in the fields of traditional medicine and modern biomedical science. This article introduces the Traditional Formula-Disease Relationship (TFDR) corpus, a manually annotated corpus designed to facilitate the automatic extraction of TF-disease relationships from biomedical literatures. The TFDR corpus includes information gleaned from 740 PubMed abstracts, encompassing a total of 6,211 TF mentions, 7,166 disease mentions, and 1,109 relationships between them encapsulated within 744 key-sentences.
DOI: 10.6084/m9.figshare.26968159.v2
title: Annotated corpus for traditional formula-disease relationships in biomedical articles

description: Annotated Corpus for Traditional Formula-Disease RelationshipsThe Traditional Formula (TF), a combination of two or more herbs prepared in accordance with traditional medicine principles, is increasingly garnering global attention as an alternative to modern medicine. Specifically, there is growing interest in exploring TF's therapeutic effects across various diseases. A significant portion of the state-of-the-art knowledge regarding the relationship between TF and disease is found in scientific publications, where manual knowledge extraction is impractical. Thus, Natural Language Processing (NLP) is being employed to efficiently and accurately search and extract crucial knowledge from unstructured literatures. However, the absence of a high-quality manually annotated corpus focusing on TF-disease relationships hampers the use of NLP in the fields of traditional medicine and modern biomedical science. This article introduces the Traditional Formula-Disease Relationship (TFDR) corpus, a manually annotated corpus designed to facilitate the automatic extraction of TF-disease relationships from biomedical literatures. The TFDR corpus includes information gleaned from 740 PubMed abstracts, encompassing a total of 6,211 TF mentions, 7,166 disease mentions, and 1,109 relationships between them encapsulated within 744 key-sentences.
DOI: 10.6084/m9.figshare.26968159.v1
title: Annotated corpus for traditional formula-disease relationships in biomedical articles

description: Annotated Corpus for Traditional Formula-Disease RelationshipsThe Traditional Formula (TF), a combination of two or more herbs prepared in accordance with traditional medicine principles, is increasingly garnering global attention as an alternative to modern medicine. Specifically, there is growing interest in exploring TF's therapeutic effects across various diseases. A significant portion of the state-of-the-art knowledge regarding the relationship between TF and disease is found in scientific publications, where manual knowledge extraction is impractical. Thus, Natural Language Processing (NLP) is being employed to efficiently and accurately search and extract crucial knowledge from unstructured literatures. However, the absence of a high-quality manually annotated corpus focusing on TF-disease relationships hampers the use of NLP in the fields of traditional medicine and modern biomedical science. This article introduces the Traditional Formula-Disease Relationship (TFDR) corpus, a manually annotated corpus designed to facilitate the automatic extraction of TF-disease relationships from biomedical literatures. The TFDR corpus includes information gleaned from 740 PubMed abstracts, encompassing a total of 6,211 TF mentions, 7,166 disease mentions, and 1,109 relationships between them encapsulated within 744 key-sentences.
DOI: 10.25405/data.ncl.26976121
title: Sudoku Dataset

description: The Sudoku dataset is constructed of algorithmically generated Sudoku grids, with different levels of masking (number of missing numbers). Sudokus grids can range from simple to difficult in terms of difficulty for humans and we wanted to see how Machine Learning handles the problem.
This dataset is one of the three hidden datasets used by the 2024 NAS Unseen-Data Challenge.
The images include 70,000 generated sudoku grids. Instead of regular sudoku, where the goal is to fill in the grid, we developed a classification task about identifying the number of a single square. The grids are generated at different levels of masking (number of missing values). Each grid is stored as a NumPy array, where the normal sudoku numbers (1-9) are stored at 0.1 - 0.9, respectively. Missing cells are stored as 0, and the target cell is labelled as 1.
The data is stored in a channels-first format with a shape of (n, 1, 9, 9) where n is the number of samples in the corresponding set (50,000 for training, 10,000 for validation, and 10,000 for testing).
For each class (Sudoku cell value), we generated 7,777 samples evenly distributed among the three sets. To round out the number of samples in the sets, we randomly selected class labels and generated a single sudoku grid of that label so that no label had more than 7,778 samples among the three sets.
The labels for this dataset are the possible sudoku cell values (1, 2, 3, 4, 5, 6, 7, 8, and 9). However, due to zero-indexing, we subtract one from the cell value to get the label. (I.e., a label of 1 means the target cell should be a 2.)
NumPy (.npy) files can be opened through the NumPy Python library, using the `numpy.load()` function by inputting the path to the file into the function as a parameter. The metadata file contains some basic information about the datasets, and can be opened in many text editors such as vim, nano, notepad++, notepad, etc
DOI: 10.25405/data.ncl.26976121.v1
title: Sudoku Dataset

description: The Sudoku dataset is constructed of algorithmically generated Sudoku grids, with different levels of masking (number of missing numbers). Sudokus grids can range from simple to difficult in terms of difficulty for humans and we wanted to see how Machine Learning handles the problem.
This dataset is one of the three hidden datasets used by the 2024 NAS Unseen-Data Challenge.
The images include 70,000 generated sudoku grids. Instead of regular sudoku, where the goal is to fill in the grid, we developed a classification task about identifying the number of a single square. The grids are generated at different levels of masking (number of missing values). Each grid is stored as a NumPy array, where the normal sudoku numbers (1-9) are stored at 0.1 - 0.9, respectively. Missing cells are stored as 0, and the target cell is labelled as 1.
The data is stored in a channels-first format with a shape of (n, 1, 9, 9) where n is the number of samples in the corresponding set (50,000 for training, 10,000 for validation, and 10,000 for testing).
For each class (Sudoku cell value), we generated 7,777 samples evenly distributed among the three sets. To round out the number of samples in the sets, we randomly selected class labels and generated a single sudoku grid of that label so that no label had more than 7,778 samples among the three sets.
The labels for this dataset are the possible sudoku cell values (1, 2, 3, 4, 5, 6, 7, 8, and 9). However, due to zero-indexing, we subtract one from the cell value to get the label. (I.e., a label of 1 means the target cell should be a 2.)
NumPy (.npy) files can be opened through the NumPy Python library, using the `numpy.load()` function by inputting the path to the file into the function as a parameter. The metadata file contains some basic information about the datasets, and can be opened in many text editors such as vim, nano, notepad++, notepad, etc
DOI: 10.4121/697f7796-ba50-424f-bc08-1e14ac41f003
title: Data underlying the publication: A Cryo-CMOS Controller with Class-DE Driver and DC Magnetic-Field Tuning for Quantum Computers based on Color Centers in Diamond

description: Supplementary material for the journal publication 'A Cryo-CMOS Controller with Class-DE Driver and DC Magnetic-Field Tuning for Color-Center-Based Quantum Computers', this is an extension to the conference publication '29.2 A Cryo-CMOS Controller with Class-DE Driver and DC Magnetic-Field Tuning for Color-Center-Based Quantum Computers' including the following:<br>Files used to generate the figures (EPS formats added, Illustrator and Inkscape files are included)Data used to generate the plots in python, stored in .DAT, .npy and .pickle files.Jupyter-notebooks and scripts used to process the data, including the requirements.txt for the environment<br>
DOI: 10.4121/697f7796-ba50-424f-bc08-1e14ac41f003.v1
title: Data underlying the publication: A Cryo-CMOS Controller with Class-DE Driver and DC Magnetic-Field Tuning for Quantum Computers based on Color Centers in Diamond

description: Supplementary material for the journal publication 'A Cryo-CMOS Controller with Class-DE Driver and DC Magnetic-Field Tuning for Color-Center-Based Quantum Computers', this is an extension to the conference publication '29.2 A Cryo-CMOS Controller with Class-DE Driver and DC Magnetic-Field Tuning for Color-Center-Based Quantum Computers' including the following:<br>Files used to generate the figures (EPS formats added, Illustrator and Inkscape files are included)Data used to generate the plots in python, stored in .DAT, .npy and .pickle files.Jupyter-notebooks and scripts used to process the data, including the requirements.txt for the environment<br>
DOI: 10.15468/dl.wzkn3y
title: Occurrence Download

description: A dataset containing 17525 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Erica ciliaris L."
 ]
}

 The dataset includes 17525 records from 428 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013057-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rk6vzt
title: Occurrence Download

description: A dataset containing 10208 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Erica lusitanica Rudolphi"
 ]
}

 The dataset includes 10208 records from 207 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013058-240906103802322/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.27003244
title: Supplementary Material for: Successful repeated use of a pathogen adsorbing biomimetic device for the adjunct treatment of a SARS-CoV-2 reinfection and subsequent infections with different multi-resistant bacteria

description: Introduction: The Seraph® 100 Microbind® Affinity filter is a biomimetic adsorbent device that can remove pthogens from the blood. Case presentation: Here we report the successful use of the Seraph® 100 to treat both, a SARS-Cov-2 reinfection leading to severe COVID-19 pneumonia as well as subsequent secondary lung infections with acinetobacter baumannii, serratia marcescens and pseudomonas aeruginosa multi-drug resistant bacteria. To our knowledge this 46-year-old black male is the first patient in which four treatments with this pathogen adsorber, one for a viral and three for different bacterial infections, has been successfully used. Conclusion: The Seraph® 100 in can be easily and successfully used in conjunction with standard (anti-infective) treatment.
DOI: 10.15468/dl.9rcuu7
title: Occurrence Download

description: A dataset containing 1244 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Eryngium corniculatum Lam."
 ]
}

 The dataset includes 1244 records from 75 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013059-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.44uth3
title: Occurrence Download

description: A dataset containing 5526 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((119.94081 31.34923,120.55439 31.35545,120.54847 31.83632,119.94219 31.83632,119.94081 31.34923))",
 "Year is 2020"
 ]
}

 The dataset includes 5526 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013060-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17031/66e2b5c646509
title: CPR Data request - Stanley David - Bachelor Norway - 12/09/2024

description: All CPR samples in the North Atlantic Ocean from January 1983 to December 2020.
Selected taxa: Calanus finmarchicus, C. helgolandicus, C. glacialis and C. hyperboreus.
DOI: 10.15468/dl.cmqems
title: Occurrence Download

description: A dataset containing 51 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Euphorbia monchiquensis Franco & P.Silva"
 ]
}

 The dataset includes 51 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013061-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gnugdj
title: Occurrence Download

description: A dataset containing 572 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (China, Hong Kong, Macao)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Amaranthus retroflexus L."
 ]
}

 The dataset includes 572 records from 15 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013062-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.aw2xxe
title: Occurrence Download

description: A dataset containing 25 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Galega cirujanoi Garcia Mur. & Talavera"
 ]
}

 The dataset includes 25 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013063-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4kc9yf
title: Occurrence Download

description: A dataset containing 259 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Genista ancistrocarpa Spach"
 ]
}

 The dataset includes 259 records from 40 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013064-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6e57p8
title: Occurrence Download

description: A dataset containing 1881 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Sebdeniales"
 ]
}

 The dataset includes 1881 records from 108 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013065-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wyxbrg
title: Occurrence Download

description: A dataset containing 3358 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Genista falcata Brot."
 ]
}

 The dataset includes 3358 records from 74 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013066-240906103802322/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.27003079
title: <b>Intrinsic stability governs the homogenization of dissolved organic matter across different inland waters during all-bleak season</b>

description: "This is the data repository for Wu et al. Intrinsic stability governs the homogenization of dissolved organic matter across different inland waters during all-bleak season, Global Change Biology.
DOI: 10.6084/m9.figshare.27003079.v1
title: <b>Intrinsic stability governs the homogenization of dissolved organic matter across different inland waters during all-bleak season</b>

description: "This is the data repository for Wu et al. Intrinsic stability governs the homogenization of dissolved organic matter across different inland waters during all-bleak season, Global Change Biology.
DOI: 10.6084/m9.figshare.27003079.v2
title: <b>Intrinsic stability governs the homogenization of dissolved organic matter across different inland waters during all-bleak season</b>

description: "This is the data repository for Wu et al. Intrinsic stability governs the homogenization of dissolved organic matter across different inland waters during all-bleak season, Global Change Biology.
DOI: 10.6084/m9.figshare.25721142
title: Large seeds as a defensive strategy against partial granivory

description: Data and R code for the paper "Large seeds as a defensive strategy against partial granivory"
DOI: 10.6084/m9.figshare.25721142.v1
title: Large seeds as a defensive strategy against granivory

description: Data and R code for the paper "Large seeds as a defensive strategy against granivory"
DOI: 10.15468/dl.vpmbm7
title: Occurrence Download

description: A dataset containing 4547 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Halimium calycinum (L.) K.Koch"
 ]
}

 The dataset includes 4547 records from 79 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013067-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2ry7cq
title: Occurrence Download

description: A dataset containing 522 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Iberis ciliata subsp. welwitschii (Boiss.) Moreno"
 ]
}

 The dataset includes 522 records from 59 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013069-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.j54dyw
title: Occurrence Download

description: A dataset containing 7320 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Juniperus oxycedrus subsp. macrocarpa (Sibth. & Sm.) Ball"
 ]
}

 The dataset includes 7320 records from 139 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013070-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.pdrhjs
title: Occurrence Download

description: A dataset containing 1030 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Lavandula viridis L'Hér."
 ]
}

 The dataset includes 1030 records from 78 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013071-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wzfv2w
title: Occurrence Download

description: A dataset containing 237 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Argentina",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Puma concolor (Linnaeus, 1771)",
 "Year 2018-2024"
 ]
}

 The dataset includes 237 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013072-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qgutqc
title: Occurrence Download

description: A dataset containing 1937 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (China, Hong Kong, Macao)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Erigeron canadensis L."
 ]
}

 The dataset includes 1937 records from 29 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013073-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rc3nkw
title: Occurrence Download

description: A dataset containing 334 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Limonium algarvense Erben"
 ]
}

 The dataset includes 334 records from 33 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013074-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fp28bu
title: Occurrence Download

description: A dataset containing 753 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Limonium diffusum (Pourr.) Kuntze"
 ]
}

 The dataset includes 753 records from 48 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013075-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.cwu99n
title: Occurrence Download

description: A dataset containing 1797 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Limonium ovalifolium (Poir.) Kuntze"
 ]
}

 The dataset includes 1797 records from 118 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013076-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.