cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.1591849.v1
title: BIOL2050 WK6 and WK7

description: The first dataset for the BIOL2050 design lab was conducted in the Osgoode Woodlot on Tuesday October 13, 2015 between 2:45 and 4:45 PM with windy, damp and cloudy weather and a temperature of about 14 degrees Celsius. The second dataset for this lab was conducted in the Boyer Woodlot on Tuesday October 20, 2015 between 2:45 and 4:45 with windy and rainy weather with a temperature of about 15 degrees Celsius. The objective of this experiment was to test whether there is a correlation between the amount of canopy coverage and the abundance of arthropods present underneath that canopy cover. This experiment was conducted by E.Chau, S.Govindaswamy, S.Lam and A. Riyat. First for dataset 1, an area with a low canopy cover (0-35%) was identified. The canopy coverage in the area was determined by standing at the base of the tree and glancing up towards sky and looking through a rectangle you make by joining the index and thumb from both hands. The amount of foliage that made up your field of view through the rectangle in comparison to open sky was given a percent value (ex. Half sky and half foliage was given a 50% canopy coverage value). Once an area was found, five red, five yellow and five where pans where laid out underneath the coverage area and filled with soap water. Following this, an area with medium canopy cover (35-65%) and an area with high canopy cover (65-100%) were identified and five pan traps of each of the three colors where laid out. The pan traps where collected after two hours and the results recorded. The same steps where repeated at a different location a week later for dataset 2.
DOI: 10.3535/e10-1vb-bga
title: Brachiopoda Duméril, 1805

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/s0c-vms-ngl
title: Lingula Bruguière, 1791

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.6084/m9.figshare.21358539.v4
title: Differences in methanogenic pathways and communities in paddy soils under three typical cropping modes

description: Differences in methanogenic pathways and communities in paddy soils under three typical cropping modes
DOI: 10.6084/m9.figshare.28557698.v3
title: test

description: test
DOI: 10.3535/ch6-sk4-crg
title: Lingula Bruguière, 1791

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/e57-9pd-smj
title: Lingula Bruguière, 1791

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.6084/m9.figshare.19191227.v2
title: multilayer structure & transmission data

description: for data availability
DOI: 10.6084/m9.figshare.4719358.v1
title: DavidFaecal_Ananke.h5

description: HDF5 file for use with Ananke-UI (https://github.com/beiko-lab/ananke-ui). Contains time-series clusters of 16S rRNA gene abundances from faecal samples sampled over one year, as well as taxonomic classifications and sequence identity-based clusters.
DOI: 10.3535/c77-w58-tt3
title: Lingula Bruguière, 1791

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/s76-kpy-kr1
title: Brachiopoda Duméril, 1805

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.6084/m9.figshare.13312313.v1
title: Metadata record for the manuscript: Mapping resource effectiveness across urban systems

description: <b>Summary</b> This metadata record provides details of the data supporting the claims of the related manuscript: “Mapping resource effectiveness across urban systems”. The related study identified the hotspots of imports in cities to redirect resources to where they are most needed, based on the system overall resource effectiveness to maximise the use of all resources available. It also developed a novel taxonomy of resource-use behaviour based on the clustering patterns of resource utilisation and conversion across inter-connected urban systems. <b>Data access</b> Seven datasets were generated and are shared openly as part of this figshare record. All datasets are named according to the terminology used in the related article. The datasets are as follows:<br> - Comtrade_data_UK (supporting a method in the Supplementary Information) - Effectiveness_results.txt (supporting Figs 3, 5, 6) - Efficiency_fua.txt (supporting Fig 7) - Exergy_conversion.xlsx (supporting a method in the Supplementary Information) - Export by sector.csv (supporting Fig 4) - Import by sector.csv (supporting Fig 4, 5, 6) - ONS_data_UK.xlsx (supporting Fig 4, 5, 6) <b>Corresponding author</b> Ling Min Tan, Department of Civil & Structural Engineering, University of Sheffield, Sir Frederick Mappin Building, Sheffield, S1 3JD, United Kingdom. Email: lingmin.tan@sheffield.ac.uk
DOI: 10.6084/m9.figshare.28233353.v1
title: Do Chatbot Support Customer Performance? Investigating The Role of E-Lifestyle and Anthropomorphism in Service Industry

description: Tabulasi data hasil penelitian
DOI: 10.3535/2j5-2tr-ywm
title: Lingula Bruguière, 1791

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/2de-dwd-07l
title: Lingula Bruguière, 1791

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.3535/qhj-qz5-e3g
title: Lingula Bruguière, 1791

description: Digital Specimen for the physical specimen hosted at Tallinn University of Technology.
DOI: 10.57841/casdc.0005232
title: XPO4缺失导致细胞核环形RNA累积的源数据
DOI: 10.6084/m9.figshare.27097932.v1
title: Evaluating the Diagnostic Accuracy and Management Recommendations of ChatGPT in Uveitis

description: Accurate diagnosis and timely management are vital for favorable uveitis outcomes. Artificial Intelligence (AI) holds promise in medical decision-making, particularly in ophthalmology. Yet, the diagnostic precision and management advice from AI-based uveitis chatbots lack assessment. We appraised diagnostic accuracy and management suggestions of an AI-based chatbot, ChatGPT, versus five uveitis-trained ophthalmologists, using 25 standard cases aligned with new Uveitis Nomenclature guidelines. Participants predicted likely diagnoses, two differentials, and next management steps. Comparative success rates were computed. Ophthalmologists excelled (60–92%) in likely diagnosis, exceeding AI (60%). Considering fully and partially accurate diagnoses, ophthalmologists achieved 76–100% success; AI attained 72%. Despite an 8% AI improvement, its overall performance lagged. Ophthalmologists and AI agreed on diagnosis in 48% cases, with 91.6% exhibiting concurrence in management plans. The study underscores AI chatbots' potential in uveitis diagnosis and management, indicating their value in reducing diagnostic errors. Further research is essential to enhance AI chatbot precision in diagnosis and recommendations.
DOI: 10.25549/whit-c170-78715
title: Portrait of Mr. Balkin, Southern California, 1935

description: 13 photographic portraits of Mr. Balkin, Southern California, 1935. "Subject: Portrait of Mr. Balkin; Agency: Pop Creamer, Figgins B[ui]ld[in]g; Client: Ben-Hur Coffee; Original Print Order: 6; Size: Proofs, 8x10; Finish: gl[ossy]; Re-Order: 5 #1; Size: 8x10; Finish: gl[ossy]; Job: 9-10-56; Year: 1935" -- on envelope front. "Operator's Report Name: Dick; 1 Original Photographs-At Studio: 8x10; Amount: 5.00; Extra Charges: Pop Creamer" -- on envelope back.
DOI: 10.15468/dl.wh1g3t
title: Occurrence Download

description: A dataset containing 718 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is SharkBase"
 ]
}

 The dataset includes 718 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000739-171020152545675/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.em6a3n
title: Occurrence Download

description: A dataset containing 275514 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Animalia",
 "DecimalLatitude is greater than 42.7856553845942",
 "DecimalLatitude is less than 43.2862628748097",
 "DecimalLongitude is greater than -73.913125878321",
 "DecimalLongitude is less than -73.3208574533329"
 ]
}

 The dataset includes 275514 records from 52 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000739-171025204727650/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25549/whit-c170-47426
title: Crowd in basement, Southern California, 1932

description: Photograph of composite of crowd in basement, Southern California, 1932. "Subject: Crowd in basement (composite); Client: May Co[mpany]; Original Print Order: 1; Size: 10x20; Finish: gl[ossy]; Job: 5-19-113; Year: 1932" -- on envelope front. "1 Original Photographs-Size: 10x20; Amount: 10.00; Extra Charges: Figgs" -- on envelope back.
DOI: 10.25549/whit-c170-106642
title: Dick Whittington Photography Collection, 1924-1987
DOI: 10.15468/dl.ysm9ku
title: Occurrence Download

description: A dataset containing 220 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Brazil",
 "DatasetKey is Hexacoral Database"
 ]
}

 The dataset includes 220 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000739-171113114016250/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.diz536
title: Occurrence Download

description: A dataset containing 824 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Vireo bellii pusillus Coues, 1866"
 ]
}

 The dataset includes 824 records from 34 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000741-160430102343922/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25549/whit-c170-78341
title: Safety bus for postcards, Southern California, 1935

description: 2 photographs of photograph of truck, Southern California, 1935. "Subject: Copies of Safety bus for postcards; Client: Square D. Elec[trical] Co[mpany], Sinclair, 1318 E[ast] 16 st[reet]; Original Print Order: 1000 ea[ch]; Size: Postcards at $20.00 ea[ch]; Mount: 40.00; Year: 1935; Job: 10-25-211" -- on envelope front. "Copies: @1.00 & size; Amount: 2.00; Extra Charges: Sinclair" -- on envelope back.
DOI: 10.15468/dl.4ehm3y
title: Occurrence Download

description: A dataset containing 747768 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (Ireland, United Kingdom of Great Britain and Northern Ireland, Portugal, Spain, France, Germany, Belgium, Netherlands, Italy, Greece, Denmark, Norway, Sweden, Finland, Svalbard and Jan Mayen, Estonia, Latvia, Lithuania, Türkiye, Russian Federation, Belarus, Ukraine, Moldova, Republic of, Switzerland, Austria, Poland, Czechia, Hungary, Slovakia, Croatia, Romania, Bulgaria, Kazakhstan, Armenia, North Macedonia, Albania, Serbia, Montenegro, Kosovo, Bosnia and Herzegovina, Slovenia, Cyprus)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Lolium perenne L."
 ]
}

 The dataset includes 747768 records from 2948 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005097-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15156/bio/sh1104177.10fu
title: SH1104177.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.25345/c5zc7s75q
title: MassIVE MSV000100430 - Aldehyde dehydrogenases are dual-function enzymes that oxidizes both alcohols and aldehydes
title: This dataset supports a study redefining the functional scope of the Aldehyde Dehydrogenase (ALDH) superfamily as dual-function Alcohol and Aldehyde Dehydrogenases (AALDH). While ALDH2 is classically known for acetaldehyde detoxification, we demonstrate through biochemical and cellular approaches that it possesses robust, intrinsic alcohol dehydrogenase activity.
DOI: 10.15156/bio/sh1104178.10fu
title: SH1104178.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1104182.10fu
title: SH1104182.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1104183.10fu
title: SH1104183.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1104185.10fu
title: SH1104185.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1104186.10fu
title: SH1104186.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1104187.10fu
title: SH1104187.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1104190.10fu
title: SH1104190.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh1104192.10fu
title: SH1104192.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15468/dl.mvn5ru
title: Occurrence Download

description: A dataset containing 6 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Symmetrischema capsica (Bradley & Povolný, 1965)",
 "HasGeospatialIssue is false",
 "HasCoordinate is true"
 ]
}

 The dataset includes 6 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011800-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xfmjbn
title: Occurrence Download

description: A dataset containing 3797 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Duponchelia fovealis Zeller, 1847)",
 "BasisOfRecord is one of (Machine Observation, Human Observation, Observation, Literature Occurrence)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 3797 records from 78 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011798-250310093411724/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.