cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.25375/uct.25974964
title: High-high cluster and high-low outlier road intersections for road traffic crashes involving severely injured pedestrians within the CoCT in 2017, 2018 and 2019

description: This dataset offers a detailed inventory of road intersections and their corresponding suburbs within Cape Town, meticulously curated to highlight instances of high pedestrian crash counts resulting in serious injuries observed in "high-high" cluster and "high-low" outlier fishnet grid cells across the years 2017, 2018 and 2019. To enhance its utility, the dataset meticulously colour-codes each month associated with elevated crash occurrences, providing a nuanced perspective. Furthermore, the dataset categorises road intersections based on their placement within "high-high" clusters (marked with pink tabs) or "high-low" outlier cells (indicated by red tabs). For ease of navigation, the intersections are further organised alphabetically by suburb name, ensuring accessibility and clarity.Data SpecificsData Type: Geospatial-temporal categorical data with numeric attributesFile Format: Word document (.docx)Size: 231 KBNumber of Files: The dataset contains a total of 245 road intersection records (7 "high-high" clusters and 238 "high-low" outliers)Date Created: 21st May 2024MethodologyData Collection Method: The descriptive road traffic crash data per crash victim involved in the crashes was obtained from the City of Cape Town Network InformationSoftware: ArcGIS Pro, Open Refine, Python, SQLProcessing Steps: The raw road traffic crash data underwent a comprehensive refining process using Python software to ensure its accuracy and consistency. Following this, duplicates were eliminated to retain only one entry per crash incident. Subsequently, the data underwent further refinement with Open Refine software, focusing specifically on isolating unique crash descriptions for subsequent geocoding in ArcGIS Pro. Notably, during this process, only the road intersection crashes were retained, as they were the only incidents with spatial definitions.Once geocoded, road intersection crashes that involved a pedestrian with a severe or fatal injury type were extracted so that subsequent spatio-temporal analyses would focus on these crashes only. The spatio-temporal analysis methods by which these pedestrian crashes were analysed included spatial autocorrelation, hotspot analysis, and cluster and outlier analysis. Leveraging these methods, road intersections with pedestrian crashes that resulted in a severe injury identified as either "high-high" clusters or "high-low" outliers were extracted for inclusion in the dataset.Geospatial InformationSpatial Coverage:West Bounding Coordinate: 18°20'EEast Bounding Coordinate: 19°05'ENorth Bounding Coordinate: 33°25'SSouth Bounding Coordinate: 34°25'SCoordinate System: South African Reference System (Lo19) using the Universal Transverse Mercator projectionTemporal InformationTemporal Coverage:Start Date: 01/01/2017End Date: 31/12/2019
DOI: 10.25375/uct.25974964.v1
title: High-high cluster and high-low outlier road intersections for road traffic crashes involving severely injured pedestrians within the CoCT in 2017, 2018 and 2019

description: This dataset offers a detailed inventory of road intersections and their corresponding suburbs within Cape Town, meticulously curated to highlight instances of high pedestrian crash counts resulting in serious injuries observed in "high-high" cluster and "high-low" outlier fishnet grid cells across the years 2017, 2018 and 2019. To enhance its utility, the dataset meticulously colour-codes each month associated with elevated crash occurrences, providing a nuanced perspective. Furthermore, the dataset categorises road intersections based on their placement within "high-high" clusters (marked with pink tabs) or "high-low" outlier cells (indicated by red tabs). For ease of navigation, the intersections are further organised alphabetically by suburb name, ensuring accessibility and clarity.Data SpecificsData Type: Geospatial-temporal categorical data with numeric attributesFile Format: Word document (.docx)Size: 231 KBNumber of Files: The dataset contains a total of 245 road intersection records (7 "high-high" clusters and 238 "high-low" outliers)Date Created: 21st May 2024MethodologyData Collection Method: The descriptive road traffic crash data per crash victim involved in the crashes was obtained from the City of Cape Town Network InformationSoftware: ArcGIS Pro, Open Refine, Python, SQLProcessing Steps: The raw road traffic crash data underwent a comprehensive refining process using Python software to ensure its accuracy and consistency. Following this, duplicates were eliminated to retain only one entry per crash incident. Subsequently, the data underwent further refinement with Open Refine software, focusing specifically on isolating unique crash descriptions for subsequent geocoding in ArcGIS Pro. Notably, during this process, only the road intersection crashes were retained, as they were the only incidents with spatial definitions.Once geocoded, road intersection crashes that involved a pedestrian with a severe or fatal injury type were extracted so that subsequent spatio-temporal analyses would focus on these crashes only. The spatio-temporal analysis methods by which these pedestrian crashes were analysed included spatial autocorrelation, hotspot analysis, and cluster and outlier analysis. Leveraging these methods, road intersections with pedestrian crashes that resulted in a severe injury identified as either "high-high" clusters or "high-low" outliers were extracted for inclusion in the dataset.Geospatial InformationSpatial Coverage:West Bounding Coordinate: 18°20'EEast Bounding Coordinate: 19°05'ENorth Bounding Coordinate: 33°25'SSouth Bounding Coordinate: 34°25'SCoordinate System: South African Reference System (Lo19) using the Universal Transverse Mercator projectionTemporal InformationTemporal Coverage:Start Date: 01/01/2017End Date: 31/12/2019
DOI: 10.15468/dl.bwkbd3
title: Occurrence Download

description: A dataset containing 8251242 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Zonotrichia albicollis (J.F.Gmelin, 1789))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 8251242 records from 121 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0061375-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25549/inscriptifact-ouc111108656
title: Contract with list of merchandise, UT 1599-2

description: [Text Description:] Contract with list of merchandise: cargo of a canal boat. ❧ [Text or Publication Number Note:] UT 1599-2 ❧ [Excavation Description:] Jokha ❧ [Medium:] Clay ❧ [Script Note:] Cuneiform, Non-Alphabetic ❧ [Physical Object Description:] Rectangular clay tablet, uniform beige color with white and pink. LABEL: "1599" in black ink, "2" in red ink. Broken and repaired. 10.5 x 4.5cm. ❧ [Physical Object Note:] Reign of Amar-Sin, third dynastic king.
DOI: 10.15468/dl.b38343
title: Occurrence Download

description: A dataset containing 6553 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Campylorhynchus gularis P.L.Sclater, 1861"
 ]
}

 The dataset includes 6553 records from 52 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0419136-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25549/inscriptifact-ouc111108671
title: Contract with list of merchandise, UT 1599-2

description: [Text Description:] Contract with list of merchandise: cargo of a canal boat. ❧ [Text or Publication Number Note:] UT 1599-2 ❧ [Excavation Description:] Jokha ❧ [Medium:] Clay ❧ [Script Note:] Cuneiform, Non-Alphabetic ❧ [Physical Object Description:] Rectangular clay tablet, uniform beige color with white and pink. LABEL: "1599" in black ink, "2" in red ink. Broken and repaired. 10.5 x 4.5cm. ❧ [Physical Object Note:] Reign of Amar-Sin, third dynastic king.
DOI: 10.25549/inscriptifact-ouc111108709
title: Contract with list of merchandise, UT 1599-2

description: [Text Description:] Contract with list of merchandise: cargo of a canal boat. ❧ [Text or Publication Number Note:] UT 1599-2 ❧ [Excavation Description:] Jokha ❧ [Medium:] Clay ❧ [Script Note:] Cuneiform, Non-Alphabetic ❧ [Physical Object Description:] Rectangular clay tablet, uniform beige color with white and pink. LABEL: "1599" in black ink, "2" in red ink. Broken and repaired. 10.5 x 4.5cm. ❧ [Physical Object Note:] Reign of Amar-Sin, third dynastic king.
DOI: 10.15468/dl.nedchx
title: Occurrence Download

description: A dataset containing 3 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Africa",
 "Country is Togo",
 "OccurrenceStatus is Present",
 "TaxonKey is Parkia biglobosa (Jacq.) R.Br. ex G.Don"
 ]
}

 The dataset includes 3 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0142478-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25549/inscriptifact-ouc111284656
title: Tel Dan Inscription, IAA 1993-3162, House of David Inscription

description: [Text Description:] Royal Stela; Victory Stele? ❧ [Text or Publication Number Note:] IAA 1996-187, IAA 1993-3162 ❧ [Excavation Description:] Avraham Biran excavations, Area A, 8th c. debris. A: 1993, base of wall; B1: 1994, base of wall; B2: 1994, pavement ❧ [Medium:] Stone ❧ [Script Note:] Aramaic ❧ [Physical Object Description:] Three pieces of basalt stone; A: 32 x 22 cm; B1: 5.9 x 4.3 cm; B2: 3.5 x 2.4 cm ❧ [Physical Object Note:] A: 13 lines, B1 & B2: 8 lines; letters separated by dots ❧
DOI: 10.25549/inscriptifact-ouc111284731
title: Tel Dan Inscription, IAA 1993-3162, House of David Inscription

description: [Text Description:] Royal Stela; Victory Stele? ❧ [Text or Publication Number Note:] IAA 1996-187, IAA 1993-3162 ❧ [Excavation Description:] Avraham Biran excavations, Area A, 8th c. debris. A: 1993, base of wall; B1: 1994, base of wall; B2: 1994, pavement ❧ [Medium:] Stone ❧ [Script Note:] Aramaic ❧ [Physical Object Description:] Three pieces of basalt stone; A: 32 x 22 cm; B1: 5.9 x 4.3 cm; B2: 3.5 x 2.4 cm ❧ [Physical Object Note:] A: 13 lines, B1 & B2: 8 lines; letters separated by dots ❧
DOI: 10.25825/fk2/2qvu9b
title: Labor Market Panel Survey, TLMPS 2014, Tunisia

description: The Egypt Labor Market Panel Surveys (ELMPSs) of 1998, 2006, and 2012 and Jordan Labor Market Panel Survey (JLMPS) of 2010 have become well-recognized data sources for labor market studies in the Middle East and North Africa (MENA). These two surveys have been used in numerous research endeavors including peer reviewed academic publications, dissertations, and international organization reports. As part of the same series of surveys, the Tunisia Labor Market Panel Survey (TLMPS) of 2014 is the first wave of what will eventually become a longitudinal survey of the Tunisian labor market. Being far richer than any currently available data, the TLMPS 2014 is a much-needed addition in a landscape of otherwise scarce publicly-accessible data on the Tunisian labor market. The TLMPS 2014 was collected in partnership between the Economic Research Forum (ERF) and the Tunisian National Institute of Statistics (INS). Similarly to its Egyptian and Jordanian counterparts, the TLMPS 2014 is a nationally representative survey that features detailed information on households and individuals, especially in regards to labor market characteristics. As in other countries in the MENA region, Tunisia suffers from high unemployment, particularly for university graduates, youth, and women, and from low female labor force participation. The survey allows for an in-depth investigation of current employment characteristics as well as analyses of broader labor market dynamics. For instance, analyses have already revealed the particularly long unemployment durations Tunisian youth experience, long even in comparison to other countries in the region. For more information, see the paper(s) cited in the "Citations" section: (Assaad, Ragui, Samir Ghazouani, Caroline Krafft, and Dominique J. Rolando, 2016). The data may be accessed through the ERF Data Portal: http://www.erfdataportal.com/index.php/catalog/105
DOI: 10.15468/dl.ryz9v2
title: Occurrence Download

description: A dataset containing 7203 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Colombia",
 "TaxonKey is Sphaerodactylidae"
 ]
}

 The dataset includes 7203 records from 191 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0193762-210914110416597/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25549/inscriptifact-ouc111284706
title: Tel Dan Inscription, IAA 1993-3162, House of David Inscription

description: [Text Description:] Royal Stela; Victory Stele? ❧ [Text or Publication Number Note:] IAA 1996-187, IAA 1993-3162 ❧ [Excavation Description:] Avraham Biran excavations, Area A, 8th c. debris. A: 1993, base of wall; B1: 1994, base of wall; B2: 1994, pavement ❧ [Medium:] Stone ❧ [Script Note:] Aramaic ❧ [Physical Object Description:] Three pieces of basalt stone; A: 32 x 22 cm; B1: 5.9 x 4.3 cm; B2: 3.5 x 2.4 cm ❧ [Physical Object Note:] A: 13 lines, B1 & B2: 8 lines; letters separated by dots ❧
DOI: 10.25549/inscriptifact-ouc111108734
title: Contract with list of merchandise, UT 1599-2

description: [Text Description:] Contract with list of merchandise: cargo of a canal boat. ❧ [Text or Publication Number Note:] UT 1599-2 ❧ [Excavation Description:] Jokha ❧ [Medium:] Clay ❧ [Script Note:] Cuneiform, Non-Alphabetic ❧ [Physical Object Description:] Rectangular clay tablet, uniform beige color with white and pink. LABEL: "1599" in black ink, "2" in red ink. Broken and repaired. 10.5 x 4.5cm. ❧ [Physical Object Note:] Reign of Amar-Sin, third dynastic king.
DOI: 10.15468/dl.55y7jh
title: Occurrence Download

description: A dataset containing 564755 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Salix caprea L."
 ]
}

 The dataset includes 564755 records from 2446 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0061387-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.33fmd4
title: Occurrence Download

description: A dataset containing 446 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Blennius ocellaris Linnaeus, 1758",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Specimen, Material sample)"
 ]
 }
 },
 "CoordinateUncertaintyInMeters is less than 10000"
 ]
}

 The dataset includes 446 records from 25 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005553-250415084134356/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rxwtyp
title: Occurrence Download

description: A dataset containing 5 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Lithocarpus quangnamensis A.Camus"
 ]
}

 The dataset includes 5 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001694-250227182400228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.h9zpmn
title: Occurrence Download

description: A dataset containing 60 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Echinostoma revolutum (Fröhlich, 1802) Looss, 1899",
 "Year 2000-2025"
 ]
}

 The dataset includes 60 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001727-250227182430271/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.27079817
title: Pollen and microplastics in hedgehog (<i>Erinaceus europeaus</i>) faeces as a means to identify landscape use in urban and sub-urban environments of the United Kingdom

description: Within the UK, the western European hedgehog (<i>Erinaceus europaeus</i>) has suffered a long-term population decline to the point of being considered vulnerable to extinction in Great Britain. Here we test whether the pollen content of hedgehog faeces reflects their dominantly insect diet, rather than atmospheric contamination. Palynological results show that entomophilous pollen is the most common in hedgehog faeces. This implies that the pollen signature of hedgehog faeces reflects the habitat within which they were feeding. This could therefore be used to track hedgehogs through botanically heterogeneous landscapes such as urban and sub-urban gardens. An exploratory study was also performed to assess the presence of microplastics within faecal samples. Microplastics were present in all but two samples.
DOI: 10.6084/m9.figshare.27079817.v1
title: Pollen and microplastics in hedgehog (<i>Erinaceus europeaus</i>) faeces as a means to identify landscape use in urban and sub-urban environments of the United Kingdom

description: Within the UK, the western European hedgehog (<i>Erinaceus europaeus</i>) has suffered a long-term population decline to the point of being considered vulnerable to extinction in Great Britain. Here we test whether the pollen content of hedgehog faeces reflects their dominantly insect diet, rather than atmospheric contamination. Palynological results show that entomophilous pollen is the most common in hedgehog faeces. This implies that the pollen signature of hedgehog faeces reflects the habitat within which they were feeding. This could therefore be used to track hedgehogs through botanically heterogeneous landscapes such as urban and sub-urban gardens. An exploratory study was also performed to assess the presence of microplastics within faecal samples. Microplastics were present in all but two samples.
DOI: 10.6084/m9.figshare.27629752.v1
title: Spore morphology of <i>Adiantum</i> species from the Indian sub-continent using LM and FESEM: Palaeoecological analysis and Phylogenetic delineation

description: The palynology of fern spores has proven to be an immensely useful tool in the identification and phylogenetic characterization of various fern taxa. A diverse range of spore morphologies have been studied yet, nevertheless, the investigation of 21 species of <i>Adiantum</i> under Light Microscopy (LM) and Field Emission Electron Microscopy (FESEM) is a maiden attempt from India to develop a spore micro-morphometric dataset that complies with taxonomic traits, fossil counterparts, and evolutionary changes. All the studied spores of <i>Adiantum</i> species possess significant differences in lete character (aperture, primary character); exospores ornamentation (secondary character); and spore shape (tertiary character). The sexine pattern varies from psilate to verrucate, scabrate to granulate, and rugulate to fossulate (eurypalynous type). The perine is a characteristic feature of the fern spores as evident in <i>A. myriosorum, A. zollingeri,</i> and <i>A. philippense,</i> suggesting the diversity among different <i>Adiantum</i> spores. The multivariate statistical analysis indicates three major clusters based on spore morphological characteristics. The evolutionary outcome of this micro-morphometric analysis showed that the spore of <i>A. formosum</i> is composed of the most primitive characters (such as unconstricted lete arm, smooth exospore, and non-perinate sclerine), whereas the spores of <i>A. zollingeri</i> and <i>A. myriosorum</i> comprised advanced characters (such as constricted lete arms, rugulate exospores, and perinate sclerine). This extensive spore morphological examination would provide a comprehensive dataset for the identification of fossil spores (up to the species level) and taxonomic characterization of <i>Adiantum</i> species in India and its comparison with other species growing around the world.
DOI: 10.6084/m9.figshare.26868495
title: Nectar sources of Asian honeybees (<i>Apis cerana</i> Fabricius) in West Bengal, India: determined by pollen analysis of honey and bee crop nectar

description: Understanding nectar sources is crucial for sustainable apiculture with <i>Apis cerana</i>, yet information on these sources remains limited. We conducted pollen analysis of honey and bees’ ingested nectar (mainly crop content) to determine the nectar sources of this honeybee species in West Bengal, India. Diverse pollen types were obtained from honey (33) and crop-nectar samples (47). A few pollen types came from non-nectariferous plants, and most came from actual nectariferous plants. Predominant pollen types in honey samples were <i>Calendula officinalis</i>, <i>Eucalyptus tereticornis</i>, and <i>Peltophorum pterocarpum</i>. The very frequent pollen types obtained from crop nectar were <i>Eucalyptus tereticornis</i>, <i>Peltophorum pterocarpum</i>, and <i>Tridax procumbens</i>. In conclusion, versatile pollen types (that were obtained from honey and bees’ crop nectar) indicate that the Asian honeybee (<i>Apis cerana</i>) is a generalist visitor, collecting nectar from a large number of plant species. Our results also show that pollen analysis of bees’ crop nectar can provide vital information about their nectar sources (excluding a few pollen types of non-nectariferous plants) in addition to the traditional honey analysis.
DOI: 10.6084/m9.figshare.27893424
title: Improving adenine base editing precision by enlarging the recognition domain of CRISPR-Cas9

description: source data for giant SpCas9 and base editors.
DOI: 10.6084/m9.figshare.27893424.v1
title: Improving adenine base editing precision by enlarging the recognition domain of CRISPR-Cas9

description: source data for giant SpCas9 and base editors.
DOI: 10.6084/m9.figshare.26509918.v1
title: Scalable Preparation of Perovskite Films with Homogeneous Structure via Immobilizing Strategy for High-performance Solar Modules

description: The relevant source data in the paper
DOI: 10.15468/dl.8xn4x2
title: Occurrence Download

description: A dataset containing 76625 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Lysimachia punctata L.)",
 "BasisOfRecord is one of (Machine Observation, Human Observation, Observation, Literature Occurrence)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 76625 records from 275 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001721-250227182430271/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.26509918
title: Scalable Preparation of Perovskite Films with Homogeneous Structure via Immobilizing Strategy for High-performance Solar Modules

description: The relevant source data in the paper
DOI: 10.6084/m9.figshare.27992060
title: CatPred: A comprehensive framework for deep learning in vitro enzyme kinetic parameters

description: Raw data for figures of the manuscript and supplementary information