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

description: A dataset containing 210 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((54.35277 -60.25579,90.64723 -60.25579,90.64723 -45.74421,54.35277 -45.74421,54.35277 -60.25579))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "PublishingCountry is Heard Island and McDonald Islands"
 ]
}

 The dataset includes 210 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0035724-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7syfw8
title: Occurrence Download

description: A dataset containing 210 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((54.35277 -60.25579,90.64723 -60.25579,90.64723 -45.74421,54.35277 -45.74421,54.35277 -60.25579))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "PublishingCountry is Heard Island and McDonald Islands"
 ]
}

 The dataset includes 210 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0035725-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.udkqxm
title: Occurrence Download

description: A dataset containing 1928 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Machine Observation)",
 "Country is India",
 "OccurrenceStatus is Present",
 "TaxonKey is Semnopithecus johnii (J.Fischer, 1829)"
 ]
}

 The dataset includes 1928 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0035726-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.14466/cefasdatahub.65
title: CLiP Solomon Islands Marine Litter Abundance and Composition

description: This dataset contains 2 csv files. The file Solomon_Marine_Litter_Data.csv contains data on litter found on marine beaches in Solomon Islands between November 2018 and January 2019. The number of itemsis reported for each litter category. The list of litter categories was obtain merging OSPAR and Tangaroa Blue protocols with the addition of region-specific items, which are marked with '*'. An array of metadata (location names, survey date, GPS coordinates in decimal degrees) is also reported per each data point. The file Solomon_Marine_Litter_Metadata.csv reports other metadata collected during the surveys following the OSPAR protocol to describe factors potentially influencing litter characteristics. A READ-ME text file contains a legend of the columns of the csv files. This dataset contains 3 csv files. One file contains data on marine litter abundance and composition expressed in number of items per category. One file contains location names and GPS coordinates in decimal degrees. One file contains metadata collected during the clean-ups. A READ-ME text file contains description of columns content for the three csv files. Marine litter items were collected during beach clean-ups on Guadalcanal Island (Solomon Islands) between November 2018 and January 2019. Category list was obtain merging OSPAR and Tangaroa Blue protocols with the addition of region-specific items. The United Nations Environment Programme (UNEP) defines marine litter as 'any persistent, manufactured or processed solid material discarded, disposed of or abandoned in the marine and coastal environment'. The data were collected on six sandy beaches on Guadalcanal Island in Solomon Islands between November 2018 and January 2019. Marine litter items were removed from a 100 m linear transects (if not otherwise stated in the comments/metadata) between the high tide line and the back of the beach. The latter was identified by change in topography and/or vegetation. The items are divided in 11 material-categories (Plastic, Rubber, Textile, Paper, Wood, Metal, Glass, Ceramic, Sanitary, Medical, Other) and 168 sub categories (specific items). The list of categories was obtained by merging protocols from OSPAR and Tangaroa Blue and was expanded with country-specific items found more frequently during initial clean-ups (the number of items for these latter categories had been annotated even before their official inclusion in the list). The country-specific categories are marked by '*' after their name. Metadata were collected between the high tide line and the back of the beach as per OSPAR protocol. All data were collected by or under the supervision of CEFAS personnel, but some trainees helped during some of the activities. GPS positions at the start and end of the transects are reported for each activity. Clean-ups undertaken on the same beach targeted the same transect with a higher accuracy than GPS instrumentation, so the GPS coordinates are the same. All items were removed from the beach and properly disposed of and recycled (where possible).
DOI: 10.15468/dl.sw4gvm
title: Occurrence Download

description: A dataset containing 14237 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Japan",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "PublishingOrg is e2e717bf-551a-4917-bdc9-4fa0f342c530",
 "TaxonKey is Sittiparus varius (Temminck & Schlegel, 1847)",
 "Year 2020-2025"
 ]
}

 The dataset includes 14237 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0035728-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.shbyp9
title: Occurrence Download

description: A dataset containing 6750 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Mexico",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "PublishingOrg is e2e717bf-551a-4917-bdc9-4fa0f342c530",
 "TaxonKey is Poecile sclateri (O.Kleinschmidt, 1897)",
 "Year 2020-2025"
 ]
}

 The dataset includes 6750 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0035732-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.sgjbvu
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Schismaderma carens (Smith, 1848)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Living Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((25.0214 -34.0501,25.5395 -34.1098,25.5395 -32.9007,20.509 -32.9007,20.509 -34.5676,20.524 -34.555,20.8859 -34.5419,20.9606 -34.4398,21.2995 -34.5131,21.5296 -34.4338,21.8696 -34.4439,22.0323 -34.2835,22.221 -34.2428,22.2566 -34.1304,22.5993 -34.0741,22.9652 -34.1674,23.4069 -34.1858,23.4955 -34.0792,23.6056 -34.0563,24.8471 -34.2877,24.9447 -34.2397,25.0214 -34.0501))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0035729-250525065834625/datasets/export for details.
DOI: 10.5281/zenodo.14699388
title: MigFund Dataset

description: The MigFund dataset traces, analyses, and quantifies EU financial commitments for migration and asylum from 2000 to 2023, covering the internal and external dimensions. The current version 3 includes migration related measures in EU external action funds (EU development programmes, EU accession programmes, and EU internal programmes for border, security, migration and integration with external relevance - AMIF, ISF).
DOI: 10.5281/zenodo.11471117
title: DDF_test_data
DOI: 10.5281/zenodo.15638814
title: DDF_test_data
DOI: 10.5281/zenodo.14646231
title: NOT UP TO DATE - WILL BE DELETED - EHRE-based model results of 850 sample buildings

description: This dataset offers replacement cost estimates for a subset of 850 sample buildings in county "Ahrweiler" in western Germany. It includes data for residential and commercial building assets.
DOI: 10.5281/zenodo.14725335
title: NOT UP TO DATE - WILL BE DELETED - EHRE-based model results of 850 sample buildings

description: This dataset offers replacement cost estimates for a subset of 850 sample buildings in county "Ahrweiler" in western Germany. It includes data for residential and commercial building assets.
DOI: 10.15468/dl.a958cx
title: Occurrence Download

description: A dataset containing 2599 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Machine Observation, Observation)",
 "Country is India",
 "OccurrenceStatus is Present",
 "TaxonKey is Macaca radiata (É.Geoffroy Saint-Hilaire, 1812)"
 ]
}

 The dataset includes 2599 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0035733-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14646214
title: NOT UP TO DATE - WILL BE DELETED - BEAM-based model results of 850 sample buildings

description: This dataset contains highly detailed asset values and classifications for a subset of 850 buildings. It uses building volume to disaggregate net asset values across residential, industrial, service, and agricultural sectors.
DOI: 10.5281/zenodo.14725331
title: NOT UP TO DATE - WILL BE DELETED - BEAM-based model results of 850 sample buildings

description: This dataset contains highly detailed asset values and classifications for a subset of 850 buildings. It uses building volume to disaggregate net asset values across residential, industrial, service, and agricultural sectors.
DOI: 10.5281/zenodo.15638131
title: Raw data for the publication Baldelli et al.: The Pseudomonas aeruginosa sirB2 gene controls fitness in anaerobic conditions and its inactivation leads to increased virulence and small colony variants emergence via secondary mutations in the wsp operon.

description: The archive contains a collection of raw data to replicate part of the results contained in the work "The Pseudomonas aeruginosa sirB2 gene controls fitness in anaerobic conditions and its inactivation leads to increased virulence and small colony variants emergence via secondary mutations in the wsp operon." by Valerio Baldelli, Stacy Julisa Carrasco Aliaga, Claudia Antonella Colque, Francesca Mazzola, Srikanth Ravishankar, Helle Krogh Johansen, Søren Molin, Nadia Raffaelli, Moira Paroni, Paolo Landini and Elio Rossi
DOI: 10.14466/cefasdatahub.66
title: CLiP Vanuatu Microplastics in sediment 2017

description: This dataset contains 2 csv files. One file contains data on microplastic abundance expressed in number of particles per 5g dried sediment from 14 grabs collected on Efate Island (Vanuatu) in 2017. One file contains spectrum analysis for some of the particles carried out with a ATR-FTIR. A READ-ME text file contains description of columns content for these two csv files. There is a .zip file that includes a csv file with the description of the plastic particles larger than 5mm (macroplastic) found in the samples and their pictures. Microplastics are plastic particles with size less than 5 mm in diameter (Arthur et al., 2008). The Commonwealth Litter Project (CLiP) supported Solomon Islands to take action on plastics entering the oceans. The assessment of microplastics in seawater was part of the action plan to define scientific baselines for future monitoring purposes and comparison. Samples were dried for 3 days (less than 50 degrees centigrade) and weighted. Density separation using NaCl solution and a centrifuge, filtering the supernatant. This was followed by a chemical digestion with a KOH:NaClO solution for 3 days at 50 degrees centigrade whilst shaking. Plastic particles were then stained with Nile Red dye and a digital image was acquired through a microscope. Microplastic particles were then counted and a subsample of particles (between 1 and 10%) was processed through a ATR—FTIR to identify particle composition comparing their spectrum to a polymers library. The presence and number of particles of plastic  more than 5mm was also noted for each sample.
DOI: 10.15468/dl.vmpqf9
title: Occurrence Download

description: A dataset containing 177 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Schismaderma carens (Smith, 1848)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Living Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((32.064 -28.9416,32.4847 -28.5786,30.5701 -28.5786,30.5701 -30.7329,30.6252 -30.6659,31.4179 -29.4257,31.8178 -29.0299,32.064 -28.9416))"
 ]
}

 The dataset includes 177 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0035734-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.7479/ryd4-p845
title: Illustration des Prozesses der Sammlungserschließung am Museum für Naturkunde Berlin

description: Der Prozess der Sammlungserschließung am Museum für Naturkunde Berlin richtet sich nach den Interessen der Nutzer:innen und den spezifischen Eigenschaften der Sammlungsobjekte, erfordert technologische Entwicklungen und will digitalen und physischen Standards gerecht werden. Jeder einzelne Schritt des Prozesses von der Überprüfung der Sammlungsobjekte, ihrer Konservierung, Restaurierung, Inventarisierung, Digitalisierung und Qualitätssicherung bis hin zur Unterbringung tragen dazu bei, eine resiliente Informations- und Forschungsinfrastruktur aufzubauen.
DOI: 10.14466/cefasdatahub.67
title: CLiP Solomon Islands Microplastics in sediment 2017

description: This dataset contains 2 csv files. One file contains data on microplastic abundance expressed in number of particles per 5g dried sediment from 6 riverine, transitional and coastal locations on Guadalcanal Island (Solomon Islands) in 2017. One file contains spectrum analysis for some of the particles carried out with a ATR-FTIR. A READ-ME text file contains description of columns content for these two csv files. There is a .zip file that includes a csv file with the description of the plastic particles larger than 5mm (macroplastic) found in the samples and their pictures. Microplastics are plastic particles with size less than 5 mm in diameter (Arthur et al., 2008). The Commonwealth Litter Project (CLiP) supported Solomon Islands to take action on plastics entering the oceans. The assessment of microplastics in seawater was part of the action plan to define scientific baselines for future monitoring purposes and comparison. Samples were dried for 3 days (less than 50 degrees centigrade) and weighted. Density separation using NaCl solution and a centrifuge, filtering the supernatant. This was followed by a chemical digestion with a KOH:NaClO solution for 3 days at 50 degrees centigrade whilst shaking. Plastic particles were then stained with Nile Red dye and a digital image was acquired through a microscope. Microplastic particles were then counted and a subsample of particles (between 1 and 10 percent) was processed through a ATR—FTIR to identify particle composition comparing their spectrum to a polymers library. The presence and number of particles of plastic more than 5mm was also noted for each sample.
DOI: 10.15468/dl.m48qgw
title: Occurrence Download

description: A dataset containing 50053014 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Observation, Machine Observation, Human Observation)",
 "Country is India",
 "OccurrenceStatus is Present",
 "PublishingOrg is one of (038a1133-81e2-42e8-a4dd-b5ac246eb082, 62431bdf-fa0c-452b-afce-be14884a47ff, 28eb1a3f-1c15-4a95-931a-4af90ecb574d, 4a19e429-8f13-478e-86d7-93adb7534524, a5f4c39e-d6fc-4334-a95a-a2b49aead1f8, 39c721f9-88dc-4827-acec-1342cf9dff98, c8d737e0-2ff8-42e8-b8fc-6b805d26fc5f, e2e717bf-551a-4917-bdc9-4fa0f342c530)"
 ]
}

 The dataset includes 50053014 records from 29 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0035716-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fapz5c
title: Occurrence Download

description: A dataset containing 30 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Swertia chirayita (Roxb.) H.Karst.",
 "Country is Nepal",
 "HasCoordinate is true"
 ]
}

 The dataset includes 30 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0035736-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.7488/a5a5c671-f4de-4567-8231-69c6f76c0605
title: Student views of curriculum research

description: ## Access ##
This dataset is held in the Edinburgh DataVault, directly accessible only to authorised University of Edinburgh staff. External users may request access to a copy of the data by contacting the Principal Investigator, Contact Person or Data Manager named on this page. Requests for access will not necessarily be granted. University of Edinburgh users who wish to have direct access should consult the information about retrieving data from the DataVault at: https://www.ed.ac.uk/is/research-support/datavault
description: Curriculum Transformation Project related research into UoE students' views of the term curriculum and their role in the curriculum. 155 respondents in 2021.
DOI: 10.15468/dl.twfuj5
title: Occurrence Download

description: A dataset containing 115609 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Sorex araneus Linnaeus, 1758"
 ]
}

 The dataset includes 115609 records from 430 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0035717-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15638915
title: The Influence of Paid Marketing on Instagram on Toast, Pastry and Bakery Business in the City of Bandung

description: Digital marketing has become one of the main factors in the growth of culinary businesses, especially in big cities like Bandung that have a high level of competition in this industry. This study aims to analyze the influence of digital marketing on the development of culinary businesses, especially baked bread, pastries and bakeries in the city of Bandung, with an emphasis on the use of social media, online delivery services, and data-based marketing strategies. The research method applied is a quantitative approach through data collection with a survey of culinary business actors in the city of Bandung. The results of the study show that digital marketing has a significant role in increasing brand visibility, expanding market reach, and increasing sales. Platforms such as Instagram, TikTok, and online delivery services are the main means of attracting new customers while retaining old ones. In addition, the use of data analytics provides assistance for business owners in understanding consumer preferences and optimizing their marketing strategies. However, challenges such as fierce competition and changes in social media algorithms are obstacles that businesses need to overcome. With the implementation of the right digital marketing strategy, culinary businesses in Bandung can grow more effectively and sustainably.
DOI: 10.5281/zenodo.15638916
title: The Influence of Paid Marketing on Instagram on Toast, Pastry and Bakery Business in the City of Bandung

description: Digital marketing has become one of the main factors in the growth of culinary businesses, especially in big cities like Bandung that have a high level of competition in this industry. This study aims to analyze the influence of digital marketing on the development of culinary businesses, especially baked bread, pastries and bakeries in the city of Bandung, with an emphasis on the use of social media, online delivery services, and data-based marketing strategies. The research method applied is a quantitative approach through data collection with a survey of culinary business actors in the city of Bandung. The results of the study show that digital marketing has a significant role in increasing brand visibility, expanding market reach, and increasing sales. Platforms such as Instagram, TikTok, and online delivery services are the main means of attracting new customers while retaining old ones. In addition, the use of data analytics provides assistance for business owners in understanding consumer preferences and optimizing their marketing strategies. However, challenges such as fierce competition and changes in social media algorithms are obstacles that businesses need to overcome. With the implementation of the right digital marketing strategy, culinary businesses in Bandung can grow more effectively and sustainably.