cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.15000747
title: Large-scale 3D building and tree datasets constructed from airborne LiDAR point clouds in Glasgow, UK
title: Tree volume in grid

description: This is the updated version of building 3D model data. The revision includes appending attributes to the lod1 and lod2 shapefile and creating cityjson file for each 3D building model. All 3D building models are available in mesh (.obj), multipath shapefile, and cityjson (.json) now.

IMPORTANT NOTE: We suggest using the building footprint, lod1, and lod2 data of this version (Version v4).

Urban Big Data Centre of the University of Glasgow generates 3D city models via the airborne LiDAR point clouds acquired between 2020-2021 on behalf of Glasgow City Council. It is a large-scale 3D city model containing 3D information on terrain, trees, and buildings in Glasgow City. This dataset comprises terrain, tree canopy, and building products derived from high-density airborne LiDAR point clouds. 

The terrain products include Digital Terrain Model (DTM), Digital Surface Model (DSM), and normalized Digital Surface Model (nDSM) in 0.5 m spatial resolution. The DTM and DSM rasters were provided by the vendor and nDSM rasters were obtained by subtracting DTM from DSM. Terrain products are provided in 5 km by 5 km GeoTIF format raster.

The tree canopy products are composed of canopy height models (CHM) and tree top locations. Classified tree point clouds were applied with pit-free algorithm to generate CHM in 0.5 m grid raster in GeoTIF format [1]-[2]. Treetop locations were identified by using Local Maximum Filter based on CHM and are recorded as points in Shapefile format. The tree canopy products are provided in 5 km by 5 km tiles.

Building 3D model products include footprint polygons with building height attributes and 3D mesh of building models in LoD1 and LoD2 levels. A series of processes such as converting building point clouds to building height models (BHM), converting BHM to polygons, and polygon regularization were conducted to obtain the building footprint polygons. Building height attributes were calculated from BHM for each footprint. The building footprint data are provided in Shapefile format. LoD1 models were generated based on the footprint and average height of the building. LoD2 models were constructed based on footprint and building point cloud with City3D tool[3]. LoD1 and LoD2 models are provided in OBJ and shapefile format. Building 3D model products are provided in 5 km by 5 km tiles. The RMSE of Euclidean distances between each point in the point cloud to the reconstructed model was calculated to evaluate the LoD2 model construction. A table of RMSE and a note for a few problematic models are provided.
DOI: 10.15468/dl.fade7j
title: Occurrence Download

description: A dataset containing 109473 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Leymus Hochst."
 ]
}

 The dataset includes 109473 records from 723 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007936-250325103851331/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5517/ccdc.csd.cc23cwyb
title: CCDC 1947852: Experimental Crystal Structure Determination

description: Related Article: Hanna L. B. Boström and Ronald I. Smith|2019|Chem.Commun.|55|10230|doi:10.1039/C9CC05436G
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2kxt8l
title: CCDC 2381180: Experimental Crystal Structure Determination

description: Related Article: Yevhen O. Zaika, Illia O. Borodin, Heorhii O. Olekh, Maksym V. Kovalov, Oleksandr D. Diachenko, Volodymyr S. Brovarets, Bohdan V. Vashchenko, Oleksandr O. Grygorenko|2025|Org.Lett.|27|2858|doi:10.1021/acs.orglett.5c00314
description: Related Article: Yevhen O. Zaika, Illia O. Borodin, Heorhii O. Olekh, Maksym V. Kovalov, Volodymyr S. Brovarets, Oleksandr O. Grygorenko, Bohdan V. Vashchenko|2024|CSD Communication|||
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5284/1129120
title: Images of Level 2 Historic Building Survey at Tansor Lodge and Tansor Lodge Farm, Oundle Road, Elmington, Northamptonshire, March 2019

description: This collection comprises of images from a Level 2 historic building survey carried out on a number of barns and outbuildings at Tansor Lodge and Tansor Lodge Farm by the University of Leicester Archaeological Services (ULAS) on the 19th of March 2019.
DOI: 10.15468/dl.9f2jeu
title: Occurrence Download

description: A dataset containing 11907 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Scorzoneroides helvetica (Mérat) Holub, Hieracium squamosum E.H.L.Krause, Leontodon croceus var. pinnatifidus (W.D.J.Koch) Nyár., Leontodon helveticus Mérat, Leontodon pyrenaicus f. ovalescens (Murr) Hegi, Leontodon pyrenaicus f. pinnatifidus (W.D.J.Koch) Hegi, Leontodon pyrenaicus subsp. helveticus (Mérat) Finch & P.D.Sell, Leontodon pyrenaicus var. ovalescens Murr, Leontodon pyrenaicus var. pinnatifidus W.D.J.Koch, Scorzoneroides pyrenaica subsp. helvetica (Mérat) Izuzq., Scorzoneroides pyrenaica var. helvetica (Mérat) B.Bock)",
 "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",
 "Month is greater than or equal to January",
 "Month is less than or equal to September"
 ]
}

 The dataset includes 11907 records from 44 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007946-250325103851331/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.yvz2e2
title: Occurrence Download

description: A dataset containing 1323 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is United States of America",
 "OccurrenceStatus is Present",
 "StateProvince is Texas",
 "TaxonKey is Baeolophus atricristatus (Cassin, 1850)",
 "Year 2024-2024"
 ]
}

 The dataset includes 1323 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007948-250325103851331/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/11225373
title: Full TMDB Movies Dataset 2024 (1M Movies)
DOI: 10.15468/dl.h5am5x
title: Occurrence Download

description: A dataset containing 74 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is Institut Botanic de Barcelona (IBB, CSIC-Ajuntament de Barcelona), BC-Plantae",
 "Geometry POLYGON((2.11568 41.49908,2.1154 41.49926,2.11566 41.49951,2.11559 41.49997,2.11528 41.50063,2.11508 41.50082,2.11484 41.50079,2.11466 41.5009,2.11413 41.50104,2.11359 41.5014,2.1135 41.50161,2.11254 41.50233,2.11165 41.50294,2.11108 41.50321,2.11147 41.5047,2.11104 41.5048,2.11022 41.50486,2.10952 41.50537,2.1093 41.50599,2.10916 41.50615,2.109 41.50632,2.10894 41.50669,2.10888 41.50672,2.10885 41.50665,2.10864 41.50652,2.10841 41.50655,2.10752 41.50708,2.1071 41.50735,2.10681 41.50745,2.10529 41.50632,2.1051 41.50652,2.10488 41.50664,2.10479 41.50687,2.10457 41.50705,2.1039 41.50734,2.10325 41.50758,2.10291 41.50786,2.10257 41.50813,2.10211 41.50787,2.10134 41.5083,2.09989 41.50871,2.09797 41.50882,2.09293 41.50851,2.09306 41.50584,2.093 41.50508,2.09281 41.5043,2.09234 41.50306,2.09108 41.50109,2.08779 41.49748,2.08768 41.49726,2.0886 41.49697,2.0889 41.49711,2.0893 41.49715,2.0897 41.49732,2.09056 41.49698,2.09073 41.49697,2.0909 41.49714,2.09111 41.4972,2.09403 41.49677,2.09394 41.49622,2.09434 41.49589,2.09428 41.49559,2.09469 41.49573,2.09511 41.49556,2.09541 41.49523,2.09535 41.49482,2.09517 41.49458,2.09493 41.49437,2.09559 41.49401,2.0966 41.49327,2.09697 41.49314,2.09695 41.49301,2.09812 41.49345,2.09919 41.49373,2.10021 41.49373,2.10126 41.49364,2.10229 41.49361,2.10366 41.49373,2.10526 41.49401,2.10719 41.49449,2.10901 41.49509,2.11009 41.49549,2.11185 41.49646,2.11387 41.49772,2.11462 41.49827,2.11568 41.49908))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 74 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007949-250325103851331/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.28375220
title: Data and Code

description: This visualization program is designed for flood simulation in underground station, supporting the analysis and display of high-precision flood dynamics.
DOI: 10.6084/m9.figshare.28375220.v2
title: Data and Code

description: This visualization program is designed for flood simulation in underground station, supporting the analysis and display of high-precision flood dynamics.
DOI: 10.6084/m9.figshare.28690931
title: Analysis of anuran pond occurrence data (Comoé National Park)

description: <b>Data collection. </b>Data was collected in temporary ponds in Comoé National Park, Ivory Coast, in 2014, 2018, and 2019. We sampled 35 temporary ponds during the core rainy season (May-Sep), each visited up to three times in a given sampling year. We collected tadpoles and all potential aquatic tadpole predators using the ‘box’ method, where we used a 50 × 50 cm open-bottom metal box to sample the entire water column at different locations in each pond, with number of sampling points (i.e. number of box samples) spaced ~2 m apart to account for habitat heterogeneity. As such, we carried out more box samples in larger ponds (maximum 11 box samples).<b>Data analysis. </b>We analyzed the occurrence data in R using the code provided. First, we analyzed the tadpole occurrence data at the pond level (analysis_pond.R), using early-stage tadpole as proxy for recent oviposition, to investigate timing and pond selection by breeding anurans. Second, we analyzed the 'box' occurrence data (analysis_box.R), to explore the choice of micro-habitats by tadpoles within ponds. Finally, we identified significant between- and within-pond species co-occurrences using a null model approach (analysis_cooc.R). Note that the pond- and box-level codes must be run first in order to proceed with the co-occurrence analysis. We also provide detailes on the data cleaning process, which was applied prior to each analysis (see data_clean.R). <b>Note. </b>All variable names are described in the 0_data_README.csv file.
DOI: 10.6084/m9.figshare.28690931.v1
title: Analysis of anuran pond occurrence data (Comoé National Park)

description: <b>Data collection. </b>Data was collected in temporary ponds in Comoé National Park, Ivory Coast, in 2014, 2018, and 2019. We sampled 35 temporary ponds during the core rainy season (May-Sep), each visited up to three times in a given sampling year. We collected tadpoles and all potential aquatic tadpole predators using the ‘box’ method, where we used a 50 × 50 cm open-bottom metal box to sample the entire water column at different locations in each pond, with number of sampling points (i.e. number of box samples) spaced ~2 m apart to account for habitat heterogeneity. As such, we carried out more box samples in larger ponds (maximum 11 box samples).<b>Data analysis. </b>We analyzed the occurrence data in R using the code provided. First, we analyzed the tadpole occurrence data at the pond level (analysis_pond.R), using early-stage tadpole as proxy for recent oviposition, to investigate timing and pond selection by breeding anurans. Second, we analyzed the 'box' occurrence data (analysis_box.R), to explore the choice of micro-habitats by tadpoles within ponds. Finally, we identified significant between- and within-pond species co-occurrences using a null model approach (analysis_cooc.R). Note that the pond- and box-level codes must be run first in order to proceed with the co-occurrence analysis. We also provide detailes on the data cleaning process, which was applied prior to each analysis (see data_clean.R). <b>Note. </b>All variable names are described in the 0_data_README.csv file.
DOI: 10.15468/dl.dv3qb4
title: Occurrence Download

description: A dataset listing the 340 species recorded in GBIF matching the query:
{
 "and" : [
 "DatasetKey is EOD – eBird Observation Dataset",
 "PublishingCountry is Iraq"
 ]
}

 The dataset's 340 records were derived from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007944-250325103851331/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.j27zhx
title: Occurrence Download

description: A dataset containing 11907 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Scorzoneroides helvetica (Mérat) Holub, Hieracium squamosum E.H.L.Krause, Leontodon croceus var. pinnatifidus (W.D.J.Koch) Nyár., Leontodon helveticus Mérat, Leontodon pyrenaicus f. ovalescens (Murr) Hegi, Leontodon pyrenaicus f. pinnatifidus (W.D.J.Koch) Hegi, Leontodon pyrenaicus subsp. helveticus (Mérat) Finch & P.D.Sell, Leontodon pyrenaicus var. ovalescens Murr, Leontodon pyrenaicus var. pinnatifidus W.D.J.Koch, Scorzoneroides pyrenaica subsp. helvetica (Mérat) Izuzq., Scorzoneroides pyrenaica var. helvetica (Mérat) B.Bock)",
 "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",
 "Month is greater than or equal to January",
 "Month is less than or equal to September"
 ]
}

 The dataset includes 11907 records from 44 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007950-250325103851331/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.tzwrdq
title: Occurrence Download

description: A dataset containing 114 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((15.29729 47.75242,15.33731 47.75242,15.33731 47.78838,15.29729 47.78838,15.29729 47.75242))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Fungi"
 ]
}

 The dataset includes 114 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007952-250325103851331/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zkkjx4
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Byasa crassipes (Oberthür, 1879)"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007953-250325103851331/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15112057
title: Dataset related to article "Agreement Analysis among Hip and Knee Periprosthetic Joint Infections Classifications"

description: This record contains raw data related to article: "Agreement Analysis among Hip and Knee Periprosthetic Joint Infections Classifications"

Abstract: Background/Objectives: missed periprosthetic joint infection (PJI) diagnosis can lead to implant failure. However, to date, no gold standard for PJI diagnosis exists, although several classification scores have been developed in the past years. The primary objective of the study was the evaluation of inter-rater reliability between five PJI classification systems when defining an infected patient. Two secondary outcomes were further examined: the inter-rater reliability assessed by comparing classifications in pairs, and the evaluation of each classification system within the subcategories defined by the World Association against Infection in Orthopaedics and Trauma (WAIOT) definition. Methods: retrospectively collected data of patients with knee and hip PJIs were used to assess the agreement among five PJI scoring systems - Musculoskeletal Infection Society (MSIS) 2013 definition, Infection Consensus Group (ICG) 2018 definition, European Bones and Joints Infection Society (EBJIS) 2018 definition, WAIOT definition and EBJIS 2021 definition. Results: 203 patients with PJI were included in the study, and the agreement among the examined scores was 0.90 (Krippendorff’s alpha = 0.81; p-value <0.001), with the MSIS 2013 and ICG 2018 classification systems showing the highest agreement (Cohen’s Kappa = 0.91, p-value <0.001). Conclusions: There is a strong agreement between major PJI classification systems. However, a subset of patients still falls into a diagnostic grey zone, especially in cases of low-grade infections. This highlights the need for enhanced diagnostic criteria that incorporate tools available even with limited resources, and the potential of artificial intelligence-based techniques for improving early detection and management of PJIs.
DOI: 10.5281/zenodo.15112058
title: Dataset related to article "Agreement Analysis among Hip and Knee Periprosthetic Joint Infections Classifications"

description: This record contains raw data related to article: "Agreement Analysis among Hip and Knee Periprosthetic Joint Infections Classifications"

Abstract: Background/Objectives: missed periprosthetic joint infection (PJI) diagnosis can lead to implant failure. However, to date, no gold standard for PJI diagnosis exists, although several classification scores have been developed in the past years. The primary objective of the study was the evaluation of inter-rater reliability between five PJI classification systems when defining an infected patient. Two secondary outcomes were further examined: the inter-rater reliability assessed by comparing classifications in pairs, and the evaluation of each classification system within the subcategories defined by the World Association against Infection in Orthopaedics and Trauma (WAIOT) definition. Methods: retrospectively collected data of patients with knee and hip PJIs were used to assess the agreement among five PJI scoring systems - Musculoskeletal Infection Society (MSIS) 2013 definition, Infection Consensus Group (ICG) 2018 definition, European Bones and Joints Infection Society (EBJIS) 2018 definition, WAIOT definition and EBJIS 2021 definition. Results: 203 patients with PJI were included in the study, and the agreement among the examined scores was 0.90 (Krippendorff’s alpha = 0.81; p-value <0.001), with the MSIS 2013 and ICG 2018 classification systems showing the highest agreement (Cohen’s Kappa = 0.91, p-value <0.001). Conclusions: There is a strong agreement between major PJI classification systems. However, a subset of patients still falls into a diagnostic grey zone, especially in cases of low-grade infections. This highlights the need for enhanced diagnostic criteria that incorporate tools available even with limited resources, and the potential of artificial intelligence-based techniques for improving early detection and management of PJIs.
DOI: 10.15468/dl.ecdwm6
title: Occurrence Download

description: A dataset containing 967492 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (Ghana, Togo)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "IucnRedListCategory is one of (EX, EW, CR, EN, VU, NT, LC, DD, NE)",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 967492 records from 540 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007945-250325103851331/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.kpefgk
title: Occurrence Download

description: A dataset containing 19569 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Alosa fallax (Lacepède, 1803)"
 ]
}

 The dataset includes 19569 records from 126 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0038093-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.q6k2jh
title: Occurrence Download

description: A dataset containing 7 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Amiiformes",
 "HasCoordinate is true",
 "Country is Japan",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 7 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0261543-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25549/inscriptifact-ouc112050918
title: P.Oxy.VII 1051 Inventory of Property, P.Oxy.VII 1051

description: [Text Description:] A list of articles, chiefly of dress, belonging to a woman whose name is given at the end. ❧ [Text or Publication Number Note:] P.Oxy.VII 1051, P.Oxy. 1051, Spurlock 1914.21.0020 ❧ [Excavation Description:] Excavated by archaeologists, including Bernard Pyne Grenfell and Arthur Surridge Hunt, at an ancient rubbish dump near Oxyrhynchus in Egypt (28°32'N 30°40'E, modern el-Bahnasa). ❧ [Medium:] Papyrus ❧ [Script Note:] Greek ❧ [Physical Object Description:] Papyrus manuscript, 15.3 x 5.3 cm.
DOI: 10.15468/dl.7zm73y
title: Occurrence Download

description: A dataset containing 2666 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Carangoides talamparoides Bleeker, 1852"
 ]
}

 The dataset includes 2666 records from 33 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032632-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vcjsu3
title: Occurrence Download

description: A dataset containing 31349 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Hippoglossus stenolepis Schmidt, 1904"
 ]
}

 The dataset includes 31349 records from 40 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0038091-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rqqjnf
title: Occurrence Download

description: A dataset containing 332 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Registros de macroinvertebrados en habitats acuáticos de algunas corrientes de montaña, en cuatro municipios de Antioquia"
 ]
}

 The dataset includes 332 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0032833-231120084113126/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.