cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.27201303.v1
title: List of SNPs and Indels found in Liberoid Meranti 1 and 2 samples

description: List of SNPs found in Liberoid Meranti 1 and 2 samples. Use the following column names to distinguish the varieties:VH01787_14_AACHH5CHV_1_AGAGTCCA is Liberoid Meranti 1, plant 2 - 1_2VH01787_14_AACHH5CHV_1_AGGATAGC is Liberoid Meranti 2, plant 1 - 2_1VH01787_14_AACHH5CHV_1_CGATCGAT is Liberoid Meranti 2, plant 3 - 2_3VH01787_14_AACHH5CHV_1_GATCTTGC is Liberoid Meranti 2, plant 2 - 2_2VH01787_14_AACHH5CHV_1_GCTACTCT is Liberoid Meranti 1, plant 1 - 1_1 VH01787_14_AACHH5CHV_1_GTAGCGTA is Liberoid Meranti 1, plant 3 - 1_3
DOI: 10.15468/dl.qhe4nf
title: Occurrence Download

description: A dataset containing 335 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Ornithoptera butterfly specimens at Museum Zoologi Bogor, Indonesia"
 ]
}

 The dataset includes 335 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006224-241007104925546/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25420/britishmuseum.27189945
title: James Buaom's consent form

description: James Buaom's consent form
DOI: 10.25420/britishmuseum.27189906
title: Kong Jook's consent form

description: Kong Jook's consent form
DOI: 10.25420/britishmuseum.27189915
title: Nyanjo Abäshiro's consent form

description: Nyanjo Abäshiro's consent form
DOI: 10.25420/britishmuseum.27189924
title: Dech Guya's consent form

description: Dech Guya's consent form
DOI: 10.25420/britishmuseum.27189924.v1
title: Dech Guya's consent form

description: Dech Guya's consent form
DOI: 10.25420/britishmuseum.27189933
title: Kong Chual's consent form

description: Kong Chual's consent form
DOI: 10.25420/britishmuseum.27189939
title: Nyawez Chual's consent form

description: Nyawez Chual's consent form
DOI: 10.25420/britishmuseum.27189945.v1
title: James Buaom's consent form

description: James Buaom's consent form
DOI: 10.25420/britishmuseum.27189894
title: Gulual Paitut's consent form

description: Gulual Paitut's consent form
DOI: 10.25420/britishmuseum.27189906.v1
title: Kong Jook's consent form

description: Kong Jook's consent form
DOI: 10.25420/britishmuseum.27189915.v1
title: Nyanjo Abäshiro's consent form

description: Nyanjo Abäshiro's consent form
DOI: 10.25420/britishmuseum.27189933.v1
title: Kong Chual's consent form

description: Kong Chual's consent form
DOI: 10.25420/britishmuseum.27189939.v1
title: Nyawez Chual's consent form

description: Nyawez Chual's consent form
DOI: 10.25420/britishmuseum.27189750
title: Consent Form

description: Musa Däfäla Mansur's consent form
DOI: 10.25420/britishmuseum.27189753
title: Consent Form

description: Hajija Dale Jilani's consent form
DOI: 10.25420/britishmuseum.27189828
title: Consent Form

description: Hajaba Abdela Albashe's consent form
DOI: 10.25420/britishmuseum.27189894.v1
title: Gulual Paitut's consent form

description: Gulual Paitut's consent form
DOI: 10.25420/britishmuseum.27189747
title: Consent Form

description: Bätula Ahmed Bafosha's consent form
DOI: 10.25420/britishmuseum.27189753.v1
title: Consent Form

description: Hajija Dale Jilani's consent form
DOI: 10.25420/britishmuseum.27189828.v1
title: Consent Form

description: Hajaba Abdela Albashe's consent form
DOI: 10.25420/britishmuseum.27189738
title: Bashir Abdel-Rasur Rähamätala 's consent form

description: Bashir Abdel-Rasur Rähamätala's consent form
DOI: 10.25420/britishmuseum.27189738.v1
title: Bashir Abdel-Rasur Rähamätala 's consent form

description: Bashir Abdel-Rasur Rähamätala's consent form
DOI: 10.25420/britishmuseum.27189741
title: Consent Form

description: Babikir Adem Hissen's consent form
DOI: 10.25420/britishmuseum.27189741.v1
title: Consent Form

description: Babikir Adem Hissen's consent form
DOI: 10.25420/britishmuseum.27189747.v1
title: Consent Form

description: Bätula Ahmed Bafosha's consent form
DOI: 10.25420/britishmuseum.27189750.v1
title: Consent Form

description: Musa Däfäla Mansur's consent form
DOI: 10.6084/m9.figshare.26418238
title: How Developers Choose Strategies for Debugging Challenging Web Application Defects

description: The replication package for the research study: How Developers Choose Strategies for Debugging Challenging Web Application Defects.Study 1: Survey developers of various experience about the challenging problems and the context of the problem that makes it challenging<b>Survey1</b> : asked developers to describe the most challenging problem they faced recently, the goal of the problem, what makes it challenging and the technologies they used. It also asked demographic questions about the participants experience.<br>Study 2: Interview professional developers about how they choose debugging strategies<b>IntroductionSlides:</b> the introduction of the definition of strategy, the list of debugging strategies, the definition of the context factors , and some examples. This should be shown to participant before the interview tasks.<b>Initial Codebook of Factors: </b>The factors that were extracted from previous works. This list was used as a preliminary codebook<b>DebuggingStrategies</b>: The list of debugging strategies extracted from the study 1 and the literature.<b>Phase1-WebProblems: </b>The two problems that used for the first phase of the interview. The participants answer the interview questions and any follow up questions for the two problems.<b>Pahse2-Problems</b>: The list of 10 challenging scenarios used in the second phase of the interview. Developer use this list to remember the similar challenging problem they faced in the past. Then they describe their problem and answer the interview questions for each problem.<b>InterviewQuestions: </b>The template for asking questions in the interview phases. <br>
DOI: 10.6084/m9.figshare.26418238.v2
title: How Developers Choose Strategies for Debugging Challenging Web Application Defects

description: The replication package for the research study: How Developers Choose Strategies for Debugging Challenging Web Application Defects
DOI: 10.25420/britishmuseum.27189918
title: Nyakot-ka Wale's consent form

description: Nyakot-ka Wale's consent form
DOI: 10.25420/britishmuseum.27189918.v1
title: Nyakot-ka Wale's consent form

description: Nyakot-ka Wale's consent form
DOI: 10.15468/dl.rsh4g3
title: Occurrence Download

description: A dataset containing 372482 species occurrences available in GBIF matching the query:
{
 "and" : [
 "SpeciesKey is one of (Toxostoma curvirostre (Swainson, 1827))",
 "BasisOfRecord is one of (Human Observation, Observation, Occurrence evidence)",
 "Year is greater than or equal to 1901",
 "Year is less than or equal to 2019",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 372482 records from 31 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006221-241007104925546/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7tncpd
title: Occurrence Download

description: A dataset containing 162 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Losaria butterfly specimens at Museum Zoologi Bogor, Indonesia"
 ]
}

 The dataset includes 162 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006228-241007104925546/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qfw5kz
title: Occurrence Download

description: A dataset containing 61 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Population status, Distribution and Threats to the Nile lechwe (Kobus megaceros, M.T.Von Heuglin,1853) in the Sudd Wetland, South Sudan (2012)"
 ]
}

 The dataset includes 61 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006227-241007104925546/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.kebk6x
title: Occurrence Download

description: A dataset containing 145 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Lamproptera butterfly specimens at Museum Zoologi Bogor, Indonesia"
 ]
}

 The dataset includes 145 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006229-241007104925546/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.26880600
title: Bayesian Structure Learning in Undirected Gaussian Graphical Models: Literature Review with Empirical Comparison

description: Gaussian graphical models provide a powerful framework to reveal the conditional dependency structure between multivariate variables. The process of uncovering the conditional dependency network is known as structure learning. Bayesian methods can measure the uncertainty of conditional relationships and include prior information. However, frequentist methods are often preferred due to the computational burden of the Bayesian approach. Over the last decade, Bayesian methods have seen substantial improvements, with some now capable of generating accurate estimates of graphs up to a thousand variables in mere minutes. Despite these advancements, a comprehensive review or empirical comparison of all recent methods has not been conducted. This article delves into a wide spectrum of Bayesian approaches used for structure learning and evaluates their efficacy through a comprehensive simulation study. We also demonstrate how to apply Bayesian structure learning to a real-world dataset and provide directions for future research. This study gives an exhaustive overview of this dynamic field for newcomers, practitioners, and experts.
DOI: 10.6084/m9.figshare.26880600.v1
title: Bayesian Structure Learning in Undirected Gaussian Graphical Models: Literature Review with Empirical Comparison

description: Gaussian graphical models provide a powerful framework to reveal the conditional dependency structure between multivariate variables. The process of uncovering the conditional dependency network is known as structure learning. Bayesian methods can measure the uncertainty of conditional relationships and include prior information. However, frequentist methods are often preferred due to the computational burden of the Bayesian approach. Over the last decade, Bayesian methods have seen substantial improvements, with some now capable of generating accurate estimates of graphs up to a thousand variables in mere minutes. Despite these advancements, a comprehensive review or empirical comparison of all recent methods has not been conducted. This article delves into a wide spectrum of Bayesian approaches used for structure learning and evaluates their efficacy through a comprehensive simulation study. We also demonstrate how to apply Bayesian structure learning to a real-world dataset and provide directions for future research. This study gives an exhaustive overview of this dynamic field for newcomers, practitioners, and experts.
DOI: 10.5281/zenodo.13913469
title: AI-Assisted Smartphone Microscopy for detection of Diarrhea Parasites

description: The full dataset is available at the following Onedrive link:

https://naamii-my.sharepoint.com/:f:/g/personal/safal_thapaliya_naamii_org_np/En2pYvydXlVGqOAt8AqaZDoBKFdwZ9AvoOW0ipp1LpwuCA?e=GTIjo7
DOI: 10.5281/zenodo.13859567
title: AI-Assisted Smartphone Microscopy for detection of Diarrhea Parasites

description: The full dataset is available at the following Onedrive link:

https://naamii-my.sharepoint.com/:f:/g/personal/safal_thapaliya_naamii_org_np/En2pYvydXlVGqOAt8AqaZDoBKFdwZ9AvoOW0ipp1LpwuCA?e=GTIjo7
DOI: 10.5281/zenodo.13859568
title: AI-Assisted Smartphone Microscopy for detection of Diarrhea Parasites

description: The full dataset is available at the following Onedrive link:

https://naamii-my.sharepoint.com/:f:/g/personal/safal_thapaliya_naamii_org_np/En2pYvydXlVGqOAt8AqaZDoBKFdwZ9AvoOW0ipp1LpwuCA?e=GTIjo7
DOI: 10.5281/zenodo.13913471
title: AI-Assisted Smartphone Microscopy for detection of Diarrhea Parasites

description: The full dataset is available at the following Onedrive link:

https://naamii-my.sharepoint.com/:f:/g/personal/safal_thapaliya_naamii_org_np/En2pYvydXlVGqOAt8AqaZDoBKFdwZ9AvoOW0ipp1LpwuCA?e=GTIjo7
DOI: 10.14284/628
title: Maritime Boundaries Geodatabase, version 12

description: Despite the strategic significance of EEZs, a standard georeferenced product with maritime boundaries was not available at the global level (Claus et. al, 2014), until it was developed and made available by the Flanders Marine Institute (VLIZ) in 2006 (Deckers and Vanden Berghe, 2006).The product developed at VLIZ consisted of two GIS layers providing both the maritime boundaries (lines) and the EEZs (polygons). The layers were regularly updated with 8 consecutive versions published between 2006 and 2014. Version 9 was launched by the VLIZ-hosted portal Marineregions.org in October 2016: Straight and archipelagic baselines were included, together with remaining areas defined by UNCLOS: internal and archipelagic waters, territorial seas and contiguous zones. For version 12 new line types are included and a new way of communicating issues is proposed.
DOI: 10.14284/697
title: Maritime Boundaries Geodatabase: Extended Continental Shelves, version 2

description: This dataset represents the legal continental shelves beyond 200 nautical miles as submitted to/recommended by the Commission on the Limits of the Continental Shelf (CLCS), deposited to the Division for Ocean Affairs and the Law of the Sea (DOALOS) or claimed by (a) a Non-Party State to UNCLOS or (b) a Party State to UNCLOS through mechanisms other than a submission to the Commission on the Limits of the Continental Shelf (CLCS) or a deposit to the Division for Ocean Affairs and the Law of the Sea (DOALOS). In the Maritime Boundaries Geodatabase, Marine Regions makes available most of the maritime areas defined in the Law of the Sea Convention: Exclusive Economic Zones (EEZ), Territorial Seas (TS), Contiguous Zones (CZ), Internal Waters (IW), Archipelagic Waters (AW) and High Seas (HS).
DOI: 10.15468/dl.zspawj
title: Occurrence Download

description: A dataset containing 130 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Atrophaneura butterfly specimens at Museum Zoologi Bogor, Indonesia"
 ]
}

 The dataset includes 130 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006230-241007104925546/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.13913354
title: microCT dataset of digitized specimen - Neomicrorbis azoricus SMF32980

description: A specimen of N. azoricus from the Northeast Atlantic Ocean, collected near the type locality (SMF 32980) was scanned using a Werth Tomoscope® XS Plus 200 microCT (Giessen, Germany). The specimen had been fixed in formalin and subsequently preserved in 70% ethanol. Before undergoing microCT scanning, it was stained with a 0.3% phosphotungstic acid (PTA) solution in 70% ethanol for contrast enhancement. The scanning parameters were as follows: SMF 32980 was scanned using a voltage of 140 kV, a generator current of 139 µA, and a generator power of 19.5 W. The exposure time was set at 500 ms across a total of 5232 projections, with 3 projections averaged to enhance image quality. This achieved a voxel resolution of 3.56 µm. Surface renderings of the specimens were created using Drishti v3.1 software (Australian National University, Canberra) (Limaye 2012).
DOI: 10.5281/zenodo.13913355
title: microCT dataset of digitized specimen - Neomicrorbis azoricus SMF32980

description: A specimen of N. azoricus from the Northeast Atlantic Ocean, collected near the type locality (SMF 32980) was scanned using a Werth Tomoscope® XS Plus 200 microCT (Giessen, Germany). The specimen had been fixed in formalin and subsequently preserved in 70% ethanol. Before undergoing microCT scanning, it was stained with a 0.3% phosphotungstic acid (PTA) solution in 70% ethanol for contrast enhancement. The scanning parameters were as follows: SMF 32980 was scanned using a voltage of 140 kV, a generator current of 139 µA, and a generator power of 19.5 W. The exposure time was set at 500 ms across a total of 5232 projections, with 3 projections averaged to enhance image quality. This achieved a voxel resolution of 3.56 µm. Surface renderings of the specimens were created using Drishti v3.1 software (Australian National University, Canberra) (Limaye 2012).
DOI: 10.15468/dl.a462gt
title: Occurrence Download

description: A dataset containing 306 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is USA.28_1",
 "TaxonKey is Ictalurus punctatus (Rafinesque, 1818)"
 ]
}

 The dataset includes 306 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006232-241007104925546/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9wnywd
title: Occurrence Download

description: A dataset containing 4371 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "TaxonKey is Andrena nigroaenea (Kirby, 1802)",
 "PhylumKey is Arthropoda",
 "Year is greater than or equal to 1992",
 "Year is less than or equal to 2012",
 "Geometry POLYGON((-26 30, 46 30, 46 68, -26 68, -26 30))"
 ]
}

 The dataset includes 4371 records from 119 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006231-241007104925546/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.nun4wy
title: Occurrence Download

description: A dataset containing 495 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Idea butterfly specimens at Museum Zoologi Bogor, Indonesia"
 ]
}

 The dataset includes 495 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006234-241007104925546/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.79uyvj
title: Occurrence Download

description: A dataset containing 41 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Anoura fistulata Muchhala, Mena & Albuja, 2005"
 ]
}

 The dataset includes 41 records from 15 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006236-241007104925546/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xsq52a
title: Occurrence Download

description: A dataset containing 746 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Troides butterfly specimens at Museum Zoologi Bogor, Indonesia"
 ]
}

 The dataset includes 746 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006235-241007104925546/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6sp4rh
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Country is China",
 "TaxonKey is Ciconia episcopus (Boddaert, 1783)"
 ]
}

 The dataset includes 2 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006238-241007104925546/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.nhuzj5
title: Occurrence Download

description: A dataset containing 630 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Pachliopta butterfly specimens at Museum Zoologi Bogor, Indonesia"
 ]
}

 The dataset includes 630 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006240-241007104925546/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.utpwbu
title: Occurrence Download

description: A dataset containing 305 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Nothotsuga longibracteata (W.C.Cheng) H.H.Hu ex C.N.Page"
 ]
}

 The dataset includes 305 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006239-241007104925546/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.84e27r
title: Occurrence Download

description: A dataset containing 16825 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Sequoia sempervirens (D.Don) Endl."
 ]
}

 The dataset includes 16825 records from 259 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006237-241007104925546/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/2736749
title: Retinal OCT Image Classification - C8
DOI: 10.15468/dl.vuhmbn
title: Occurrence Download

description: A dataset containing 2506 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Graphium butterfly specimens at Museum Zoologi Bogor, Indonesia"
 ]
}

 The dataset includes 2506 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006243-241007104925546/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.