cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.tw2b8g
title: Occurrence Download

description: A dataset containing 13 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Country is Panama",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Quercus salicifolia"
 ]
}

 The dataset includes 13 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020418-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mpc4ww
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is one of (Human Observation, Machine Observation, Occurrence evidence, Observation)",
 "TaxonKey is one of (Sayornis saya)",
 "Country is one of (American Samoa, Australia, Christmas Island, Cocos (Keeling) Islands, Cook Islands, Fiji, French Polynesia, Guam, Heard Island and McDonald Islands, Kiribati, Marshall Islands, Micronesia (Federated States of), Nauru, New Caledonia, New Zealand, Niue, Norfolk Island, Northern Mariana Islands, Palau, Papua New Guinea, Pitcairn, Samoa, Solomon Islands, Tokelau, Tonga, Tuvalu, United States Minor Outlying Islands, Vanuatu, Wallis and Futuna)"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020417-250711103210423/datasets/export for details.
DOI: 10.15468/dl.93ej76
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is one of (Human Observation, Machine Observation, Occurrence evidence, Observation)",
 "TaxonKey is one of (Sayornis saya)",
 "Country is one of (Algeria, Angola, Benin, Botswana, British Indian Ocean Territory, Burkina Faso, Burundi, Cabo Verde, Cameroon, Central African Republic, Chad, Comoros, Congo, Congo, Democratic Republic of the, Côte d’Ivoire, Djibouti, Egypt, Equatorial Guinea, Eritrea, Eswatini, Ethiopia, French Southern Territories, Gabon, Gambia, Ghana, Guinea, Guinea-Bissau, Kenya, Lesotho, Liberia, Libya, Madagascar, Malawi, Mali, Mauritania, Mauritius, Mayotte, Morocco, Mozambique, Namibia, Niger, Nigeria, Réunion, Rwanda, Saint Helena, Ascension and Tristan da Cunha, Sao Tome and Principe, Senegal, Seychelles, Sierra Leone, Somalia, South Africa, South Sudan, Sudan, Tanzania, United Republic of, Togo, Tunisia, Uganda, Western Sahara, Zambia, Zimbabwe)"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020420-250711103210423/datasets/export for details.
DOI: 10.15468/dl.zbyxz7
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Phalaris paradoxa appendiculata, Phalaris paradoxa nana, Phalaris paradoxa praemorsa, Phalaris paradoxa praemorsa, Phalaris paradoxa appendiculata, Phalaris paradoxa intacta, Phalaris paradoxa intermedia, Phalaris paradoxa megastachya, Phalaris paradoxa microstachya, Phalaris paradoxa paradoxa)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen, Machine Observation)"
 ]
 }
 },
 "Continent is Europe",
 "Year is greater than or equal to 1980",
 "Year is less than or equal to 2024"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020423-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2yf6wf
title: Occurrence Download

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

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020424-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fyu6y2
title: Occurrence Download

description: A dataset containing 33063 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Lysimachia borealis"
 ]
}

 The dataset includes 33063 records from 211 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020419-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.suyydr
title: Occurrence Download

description: A dataset containing 31590 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Digitaria ischaemum, Digitaria ischaemum)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 31590 records from 524 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020422-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wuma8p
title: Occurrence Download

description: A dataset containing 136201 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "PublishingCountry is Colombia",
 {
 "and" : [
 "Country is Colombia",
 {
 "not" : {
 "Issue" : [
 "is Country coordinate mismatch"
 ]
 }
 }
 ]
 }
 ]
 },
 {
 "and" : [
 "TaxonKey is one of (Plantae [GBIF Backbone Taxonomy])",
 "StateProvince is one of (Chocó)"
 ]
 }
 ]
}

 The dataset includes 136201 records from 161 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020339-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hufv9w
title: Occurrence Download

description: A dataset containing 174 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Platycladus orientalis",
 "Country is Switzerland",
 "HasCoordinate is true"
 ]
}

 The dataset includes 174 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020425-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ftp5r9
title: Occurrence Download

description: A dataset containing 4 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Matthiola perpusilla"
 ]
}

 The dataset includes 4 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020426-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.my3jmu
title: Occurrence Download

description: A dataset containing 50837 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-76.69519 1.24122,-76.70815 1.12287,-76.57249 1.11509,-76.58632 1.26066,-76.69519 1.24122))",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 50837 records from 100 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020377-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.53mjb8
title: Occurrence Download

description: A dataset containing 57 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Smelowskia flavissima"
 ]
}

 The dataset includes 57 records from 17 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020429-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jfxdsg
title: Occurrence Download

description: A dataset containing 91 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Pseudoplagiostoma"
 ]
}

 The dataset includes 91 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020430-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.pgfyh7
title: Occurrence Download

description: A dataset containing 8 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is BOLD:ACR8433"
 ]
}

 The dataset includes 8 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020428-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wpq5vn
title: Occurrence Download

description: A dataset containing 19 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Hilliella sinuata"
 ]
}

 The dataset includes 19 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020427-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qb8ums
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Phalaris paradoxa praemorsa, Phalaris paradoxa typica, Phalaris praemorsa, Phalaris pruinosa, Phalaris pruinosa, Phalaris pseudoparadoxa, Phalaris rubens, Phalaris rubens, Phalaris sibthorpii, Phalaris utriculosa)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen, Machine Observation)"
 ]
 }
 },
 "Continent is Europe",
 "Year is greater than or equal to 1980",
 "Year is less than or equal to 2024"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020431-250711103210423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/hgb87f94fw
title: Spark Erosion Machining of Direct Energy Deposited 316L Stainless Steel

description: The data was collected after spark erosion machining of DED 316L Stainless Steel.
DOI: 10.17632/hgb87f94fw.1
title: Spark Erosion Machining of Direct Energy Deposited 316L Stainless Steel

description: The data was collected after spark erosion machining of DED 316L Stainless Steel.
DOI: 10.17632/mxsxgh6ync
title: 16S rDNA and Small RNA sequencing of human subjects

description: 16S ribosomal DNA (rDNA) sequencing is a powerful technique for identifying and comparing bacteria within a given sample. It focuses on the 16S ribosomal RNA gene, a highly conserved region in the bacterial genome that contains hypervariable regions useful for distinguishing different bacterial species. In this study, 16S rDNA sequencing was utilized to profile the microbiome compositions of samples derived from human feces. The aim was to investigate the bacterial diversity and relative abundance in each sample type.
Small RNA sequencing is a technique that allows for the comprehensive profiling of small RNAs, including microRNAs (miRNAs), small interfering RNAs (siRNAs), and piwi-interacting RNAs (piRNAs). These small RNAs play critical roles in gene regulation and can provide insights into cellular processes and disease mechanisms. This study employed small RNA sequencing to analyze the small RNA populations in samples from human feces. The goal was to understand the expression patterns and regulatory roles of small RNAs under the treatment of stachyose.
DOI: 10.17632/mxsxgh6ync.1
title: 16S rDNA and Small RNA sequencing of human subjects

description: 16S ribosomal DNA (rDNA) sequencing is a powerful technique for identifying and comparing bacteria within a given sample. It focuses on the 16S ribosomal RNA gene, a highly conserved region in the bacterial genome that contains hypervariable regions useful for distinguishing different bacterial species. In this study, 16S rDNA sequencing was utilized to profile the microbiome compositions of samples derived from human feces. The aim was to investigate the bacterial diversity and relative abundance in each sample type.
Small RNA sequencing is a technique that allows for the comprehensive profiling of small RNAs, including microRNAs (miRNAs), small interfering RNAs (siRNAs), and piwi-interacting RNAs (piRNAs). These small RNAs play critical roles in gene regulation and can provide insights into cellular processes and disease mechanisms. This study employed small RNA sequencing to analyze the small RNA populations in samples from human feces. The goal was to understand the expression patterns and regulatory roles of small RNAs under the treatment of stachyose.
DOI: 10.17632/dwjjk7dpcv
title: Small RNA sequencing of MODE-K cell line

description: 16S ribosomal DNA (rDNA) sequencing is a powerful technique for identifying and comparing bacteria within a given sample. It focuses on the 16S ribosomal RNA gene, a highly conserved region in the bacterial genome that contains hypervariable regions useful for distinguishing different bacterial species. In this study, 16S rDNA sequencing was utilized to profile the microbiome compositions of samples derived from MODE-K cells line. The aim was to investigate the bacterial diversity and relative abundance in each sample type.
Small RNA sequencing is a technique that allows for the comprehensive profiling of small RNAs, including microRNAs (miRNAs), small interfering RNAs (siRNAs), and piwi-interacting RNAs (piRNAs). These small RNAs play critical roles in gene regulation and can provide insights into cellular processes and disease mechanisms. This study employed small RNA sequencing to analyze the small RNA populations in samples from MODE-K cell line. The goal was to understand the expression patterns and regulatory roles of small RNAs under the treatment of stachyose.
DOI: 10.34740/kaggle/dsv/12481520
title: Billboard Hot 100 & more
DOI: 10.17632/dwjjk7dpcv.1
title: Small RNA sequencing of MODE-K cell line

description: 16S ribosomal DNA (rDNA) sequencing is a powerful technique for identifying and comparing bacteria within a given sample. It focuses on the 16S ribosomal RNA gene, a highly conserved region in the bacterial genome that contains hypervariable regions useful for distinguishing different bacterial species. In this study, 16S rDNA sequencing was utilized to profile the microbiome compositions of samples derived from MODE-K cells line. The aim was to investigate the bacterial diversity and relative abundance in each sample type.
Small RNA sequencing is a technique that allows for the comprehensive profiling of small RNAs, including microRNAs (miRNAs), small interfering RNAs (siRNAs), and piwi-interacting RNAs (piRNAs). These small RNAs play critical roles in gene regulation and can provide insights into cellular processes and disease mechanisms. This study employed small RNA sequencing to analyze the small RNA populations in samples from MODE-K cell line. The goal was to understand the expression patterns and regulatory roles of small RNAs under the treatment of stachyose.
DOI: 10.17632/b539dhwhv8
title: 16S rDNA and Small RNA sequencing of mice

description: 16S ribosomal DNA (rDNA) sequencing is a powerful technique for identifying and comparing bacteria within a given sample. It focuses on the 16S ribosomal RNA gene, a highly conserved region in the bacterial genome that contains hypervariable regions useful for distinguishing different bacterial species. In this study, 16S rDNA sequencing was utilized to profile the microbiome compositions of samples derived from mice. The aim was to investigate the bacterial diversity and relative abundance in each sample type.
Small RNA sequencing is a technique that allows for the comprehensive profiling of small RNAs, including microRNAs (miRNAs), small interfering RNAs (siRNAs), and piwi-interacting RNAs (piRNAs). These small RNAs play critical roles in gene regulation and can provide insights into cellular processes and disease mechanisms. This study employed small RNA sequencing to analyze the small RNA populations in samples from mice. The goal was to understand the expression patterns and regulatory roles of small RNAs under the treatment of stachyose.
DOI: 10.17632/b539dhwhv8.1
title: 16S rDNA and Small RNA sequencing of mice

description: 16S ribosomal DNA (rDNA) sequencing is a powerful technique for identifying and comparing bacteria within a given sample. It focuses on the 16S ribosomal RNA gene, a highly conserved region in the bacterial genome that contains hypervariable regions useful for distinguishing different bacterial species. In this study, 16S rDNA sequencing was utilized to profile the microbiome compositions of samples derived from mice. The aim was to investigate the bacterial diversity and relative abundance in each sample type.
Small RNA sequencing is a technique that allows for the comprehensive profiling of small RNAs, including microRNAs (miRNAs), small interfering RNAs (siRNAs), and piwi-interacting RNAs (piRNAs). These small RNAs play critical roles in gene regulation and can provide insights into cellular processes and disease mechanisms. This study employed small RNA sequencing to analyze the small RNA populations in samples from mice. The goal was to understand the expression patterns and regulatory roles of small RNAs under the treatment of stachyose.
DOI: 10.17632/nr7p3d2kvk
title: Volumetric Behaviour Analysis (VBA) of Hong Kong Public Housing Flats - Case 9PHNS2

description: This data package comprises a point cloud file obtained using a LiDAR scan of a public high-rise building in Hong Kong. The research project record designates this flat interior as "Case 9PHNS2". The data scan was conducted through a 12-minute walk-through of the high-rise apartment using a Leica-brand BLK2Go model 3D environment scanner. The scan provides a detailed description of the layout and arrangement of furniture within the interior of the public high-rise apartment. The data accurately depicts the physical state of the house, enabling the interpretation of the scan to describe the housing conditions of super-tall and super-dense housing units, including their spatial utilisation and user contents. Access to the data is granted only after a one-year period of restriction to ensure the protection of individuals' personal information. The data is provided with the purpose of future research examining housing behaviour in connection to spatial use.
DOI: 10.17632/nr7p3d2kvk.1
title: Volumetric Behaviour Analysis (VBA) of Hong Kong Public Housing Flats - Case 9PHNS2

description: This data package comprises a point cloud file obtained using a LiDAR scan of a public high-rise building in Hong Kong. The research project record designates this flat interior as "Case 9PHNS2". The data scan was conducted through a 12-minute walk-through of the high-rise apartment using a Leica-brand BLK2Go model 3D environment scanner. The scan provides a detailed description of the layout and arrangement of furniture within the interior of the public high-rise apartment. The data accurately depicts the physical state of the house, enabling the interpretation of the scan to describe the housing conditions of super-tall and super-dense housing units, including their spatial utilisation and user contents. Access to the data is granted only after a one-year period of restriction to ensure the protection of individuals' personal information. The data is provided with the purpose of future research examining housing behaviour in connection to spatial use.
DOI: 10.17632/hyj85hrvcd
title: Volumetric Behaviour Analysis (VBA) of Hong Kong Public Housing Flats - Case 8PHHA3S

description: This data package comprises a point cloud file obtained using a LiDAR scan of a public high-rise building in Hong Kong. The research project record designates this flat interior as "Case 8PHHA3S". The data scan was conducted through a 12-minute walk-through of the high-rise apartment using a Leica-brand BLK2Go model 3D environment scanner. The scan provides a detailed description of the layout and arrangement of furniture within the interior of the public high-rise apartment. The data accurately depicts the physical state of the house, enabling the interpretation of the scan to describe the housing conditions of super-tall and super-dense housing units, including their spatial utilisation and user contents. Access to the data is granted only after a one-year period of restriction to ensure the protection of individuals' personal information. The data is provided with the purpose of future research examining housing behaviour in connection to spatial use.
DOI: 10.17632/hyj85hrvcd.1
title: Volumetric Behaviour Analysis (VBA) of Hong Kong Public Housing Flats - Case 8PHHA3S

description: This data package comprises a point cloud file obtained using a LiDAR scan of a public high-rise building in Hong Kong. The research project record designates this flat interior as "Case 8PHHA3S". The data scan was conducted through a 12-minute walk-through of the high-rise apartment using a Leica-brand BLK2Go model 3D environment scanner. The scan provides a detailed description of the layout and arrangement of furniture within the interior of the public high-rise apartment. The data accurately depicts the physical state of the house, enabling the interpretation of the scan to describe the housing conditions of super-tall and super-dense housing units, including their spatial utilisation and user contents. Access to the data is granted only after a one-year period of restriction to ensure the protection of individuals' personal information. The data is provided with the purpose of future research examining housing behaviour in connection to spatial use.
DOI: 10.17632/72szhgwyrn
title: Volumetric Behaviour Analysis (VBA) of Hong Kong Public Housing Flats - Case 10PHHA4

description: This data package comprises a point cloud file obtained using a LiDAR scan of a public high-rise building in Hong Kong. The research project record designates this flat interior as "Case 10PHHA4. The data scan was conducted through a 12-minute walk-through of the high-rise apartment using a Leica-brand BLK2Go model 3D environment scanner. The scan provides a detailed description of the layout and arrangement of furniture within the interior of the public high-rise apartment. The data accurately depicts the physical state of the house, enabling the interpretation of the scan to describe the housing conditions of super-tall and super-dense housing units, including their spatial utilisation and user contents. Access to the data is granted only after a one-year period of restriction to ensure the protection of individuals' personal information. The data is provided with the purpose of future research examining housing behaviour in connection to spatial use.