cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.12770/159efdfe-2c8b-4ee1-bf65-9f1028684d28
title: EMSO-Azores observatory real-time data 2012 deployment

description: This dataset contains real-time data acquired from the EMSO-Azores observatory from July 2012  to August 2013. Data are from 10 types of instruments: Geodesic GPS, HD Camera (SMOOVE), Iridium GPS modem, Iron analyser (CHEMINI Fe), Meteorological station, Ocean Bottom Seismometer, Optode oxygen sensor, Pressure gauges (JP), Turbidity sensor and Communication and Storage Front-end (COSTOF).
DOI: 10.15468/dl.7uz3vt
title: Occurrence Download

description: A dataset containing 142 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "TaxonKey is Elaphodus cephalophus Milne-Edwards, 1872"
 ]
}

 The dataset includes 142 records from 17 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0077437-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.e233bf
title: Occurrence Download

description: A dataset containing 11218935 species occurrences available in GBIF matching the query:
{
 "Country" : [
 "is China"
 ]
}

 The dataset includes 11218935 records from 5170 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0077409-240506114902167/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qju5n7
title: Occurrence Download

description: A dataset containing 1643 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Specimen)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Osmia simillima Smith, 1853",
 "Year 1000-2025"
 ]
}

 The dataset includes 1643 records from 37 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005714-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.yhpe4t
title: Occurrence Download

description: A dataset containing 1091 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Europe",
 "Country is Romania",
 "TaxonKey is Phytolacca americana L."
 ]
}

 The dataset includes 1091 records from 17 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005715-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/gk2jgs9vh9.1
title: In-season Corn Yield Prediction Using Satellite-derived Solar-Induced Chlorophyll Fluorescence and Machine Learning Algorithms data

description: This data is for the U.S. Corn Belt (US-CB), a major agricultural region characterized by intensive corn cultivation. The data includes 210 counties consistently dominated by corn production, selected based on their suitability for sub-pixel SIF disaggregation and inclusion in the USDA’s annual yield reporting. The data include five growing seasons: 2015, 2016, 2018, 2019, and 2020. The year 2017 was excluded from the data due to incomplete satellite data caused by sensor malfunction.
Annual corn yield records were obtained from the U.S. Department of Agriculture’s National Agricultural Statistics Service (USDA-NASS). County-level yield data, measured in tons per hectare, are generated using a combination of farmer-reported surveys, field assessments, and calibrated simulation models. This integration ensures their reliability as ground-truth references for both training and validating predictive models. Their consistent spatial resolution and broad temporal span across the U.S. Corn Belt make them a solid basis for model development and performance testing.
Standard satellite-derived SIF products are provided at coarse spatial resolutions, complicating their use in heterogeneous agricultural landscapes. To overcome this limitation, I applied a sub-pixel extraction method developed by Kira and Sun (2020), which uses high-resolution land cover and crop maps to isolate the contribution of corn within each SIF pixel. This technique allowed for the derivation of corn-specific SIF values at the county level, minimizing contamination from other crops or land covers.
DOI: 10.17632/25r6txd45n.1
title: Using Geochemistry to predict the Locality of the Origin of Fossil Dinosaur Bones with Machine Learning Models – Potential Limitations

description: These are the data used for predicting the locality of the origin of dinosaur bones from Gobi using their geochemistry. The dataset contains the ppm data, the information about each spot and errors. The file 'ppm.csv' contains ppm data with values below the limit of detection filled with NaN, the file 'ppmLODsfill.csv' contains the same data with values below the limits of detection filled with values just below it. The file 'Element profiles.html' is an interactive plot of the profiles of the bones.
DOI: 10.17632/b2skj8swny
title: Bibliometric Analysis of Cement Sustainability Assessment

description: Description of the Data:
The dataset contains the full list of studies reviewed in the systematic literature review, including metadata such as publication year, country of study, methodological approaches.

How to Interpret and Use the Data:
Users can use the data to support policy formulation or academic inquiry into equitable circular economy (CE) implementation, especially in contexts where environmental justice is a pressing concern. Conduct meta-analyses or comparative studies on CE strategies and their multidimensional impacts in the cement or broader construction materials sector.

Key files include:
Bibliometrix.xlsx – a structured Excel file presenting coded variables from each selected publication.
DOI: 10.17632/b2skj8swny.1
title: Bibliometric Analysis of Cement Sustainability Assessment

description: Description of the Data:
The dataset contains the full list of studies reviewed in the systematic literature review, including metadata such as publication year, country of study, methodological approaches.

How to Interpret and Use the Data:
Users can use the data to support policy formulation or academic inquiry into equitable circular economy (CE) implementation, especially in contexts where environmental justice is a pressing concern. Conduct meta-analyses or comparative studies on CE strategies and their multidimensional impacts in the cement or broader construction materials sector.

Key files include:
Bibliometrix.xlsx – a structured Excel file presenting coded variables from each selected publication.
DOI: 10.2909/d1b68fcb-0198-462f-a480-8f060349e0c4
title: Economic losses from climate-related extremes in Europe (1980-2023), ver. 2.0, Feb. 2025

description: This metadata considers the 2023 data including the year 2010 Euro equivalent values as a baseline on total and insured economic losses and the number of fatalities from weather- and climate-related events in EU Member States and EEA member countries since 1980. Weather- and climate-related hazards considered are those types classified as meteorological hazards (e.g. storms), hydrological hazards (e.g. floods) and climatological hazards (e.g. heatwaves) based on the classification by the International Council for Science (ICSU). The geophysical hazards (e.g. earthquakes and volcanoes) are included for comparison purposes. An event can occur in several countries, but the information is split per country.

The data is based on the RiskLayer CATDAT datasets (received under institutional agreement), and on the Eurostat collection of economic indicators, whereas data from earlier years not covered by Eurostat have been completed using data from the Annual Macro-Economic Database of the European Commission (AMECO), the International Monetary Fund’s (IMF) World Economic Outlook (WEO), the Total Economy Database (TED) and the World Bank database. The average population of a country over the period of the time series is used.

The data contains details related to EEA’s indicator “Economic losses from climate-related events in Europe” (https://www.eea.europa.eu/ims/economic-losses-from-climate-related), updated annually. Additional detail on the data and the indicator can be found in the EEA briefing "Economic losses and fatalities from weather- and climate-related events in Europe", 2024 (https://www.eea.europa.eu/publications/economic-losses-and-fatalities-from/economic-losses-and-fatalities-from).

This second version of the 1980-2023 dataset contains data from six additional countries: Albania, Bosnia and Herzegovina, Montenegro, North Macedonia, Serbia, and Kosovo*.

*) This designation is without prejudice to positions on status, and is in line with UNSC 1244 and the ICJ Opinion on the Kosovo Declaration of Independence.
DOI: 10.15468/dl.qnhqb9
title: Occurrence Download

description: A dataset containing 3016 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Netherlands",
 "TaxonKey is Lampetra planeri (Bloch, 1784)"
 ]
}

 The dataset includes 3016 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013219-250415084134356/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.pgca6e
title: Occurrence Download

description: A dataset containing 30 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Merrittia Merr."
 ]
}

 The dataset includes 30 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013220-250415084134356/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3535/cg6-ahw-ecg
title: Mammalia Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/8c3-hgt-1bh
title: Mammalia Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/8tk-d0e-chm
title: Mammalia Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/1r2-jby-scx
title: Mammalia Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/jry-gpz-t28
title: Balclutha Kirkaldy, 1900

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/023-s7x-9s3
title: Mammalia Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.21227/cntk-rk25
title: "SDN-MG25"

description: "Software Defined Network (SDN) has been widely used in modern network architecture. The integration of SDN into microgrid communication infrastructures offers enhanced flexibility, yet also introduces attack surfaces. As critical components of the Internet of Things (IoT) for energy systems, microgrid systems interact with numerous distributed sensors and controllers. making secure and reliable communications essential. This study presents the SDN-MG25 dataset based on a realistic microgrid\u2013SDN testbed. This dataset contains benign network traffic generated from enterprise-level user activities, network flow records of microgrid communications, SDN activities, system call traces, and microgrid power measurements from an integrated SDN-based microgrid system. Additionally, a variety of SDN-related attack scenarios, such as fake link injection, flow rule tampering, and packet-in flooding, are implemented. A preliminary analysis is presented to evaluate the SDN-MG25 dataset. The SDN-MG25 dataset is publicly available for research in SDN-based microgrid and IoT energy environments."
DOI: 10.3535/1kg-3g6-rgv
title: Mammalia Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/3yh-mje-pe5
title: Mammalia Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/lbq-055-2pe
title: Mammalia Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/l5c-aeg-qpv
title: Elaphe

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/lel-7vj-ym8
title: Mammalia Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/t8v-tn8-drd
title: Mammalia Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/tcy-nqf-f29
title: Animalia

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/eej-tbf-5yq
title: Balclutha Kirkaldy, 1900

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/ryp-43r-zea
title: Maretia planulata (Lamarck, 1816)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/yg3-ztz-38n
title: Mammalia Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/11w-qza-mmx
title: Mammalia Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/b1q-jpc-lg3
title: Mammalia Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/64t-hdb-xtz
title: Salmacis L. Agassiz, 1841

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/f6q-4rb-8nv
title: Mammalia Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/w0f-630-fe3
title: Mammalia Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/kds-1ne-t3m
title: Mammalia Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/j56-re6-fk3
title: Clypeaster Lamarck, 1801

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/r4r-t0t-47l
title: Mammalia Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/5ym-cbj-628
title: Passeriformes

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/w3l-0qb-x5b
title: Crocuta crocuta (Erxleben, 1777)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/fp8-7l2-ab9
title: Mammalia Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/l3t-vp9-9qm
title: Mammalia Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/j4c-fk2-d2r
title: Mammalia Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/3s6-8mq-bwv
title: Latonia Meyer, 1843

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/sqq-ldp-cng
title: Mammalia Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/wdb-d71-tpv
title: Lacroixilepis Keith, 2007

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/5tk-fjt-32w
title: †Prolagus Pomel, 1853

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/p3c-mbf-qc1
title: Mammalia Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/5c6-3s8-jwa
title: Mammalia Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/bza-m2k-93r
title: Mammalia Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/e8y-31k-s0w
title: Mammalia Linnaeus, 1758

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.15468/dl.58qn6k
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is one of (Human Observation, Machine Observation, Occurrence evidence, Observation)",
 "TaxonKey is one of (Lophoceros nasutus)",
 "Country is one of (Åland Islands, Albania, Andorra, Austria, Belarus, Belgium, Bosnia and Herzegovina, Bulgaria, Croatia, Czechia, Denmark, Estonia, Faroe Islands, Finland, France, Germany, Gibraltar, Greece, Guernsey, Holy See, Hungary, Iceland, Ireland, Isle of Man, Italy, Jersey, Latvia, Liechtenstein, Lithuania, Luxembourg, Malta, Moldova, Republic of, Monaco, Montenegro, Netherlands, North Macedonia, Norway, Poland, Portugal, Romania, Russian Federation, San Marino, Serbia, Slovakia, Slovenia, Spain, Svalbard and Jan Mayen, Sweden, Switzerland, Ukraine, United Kingdom of Great Britain and Northern Ireland)"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0084625-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.cyfkgd
title: Occurrence Download

description: A dataset containing 680 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Calicalicus rufocarpalis)",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "License is one of (CC-BY 4.0, CC0 1.0)"
 ]
}

 The dataset includes 680 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0084626-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3bauqn
title: Occurrence Download

description: A dataset containing 3 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Tapinoma magnum",
 "Country is Netherlands",
 "HasCoordinate is true"
 ]
}

 The dataset includes 3 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0084628-250717081556266/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.28204499
title: Survey data on firm-level surplus food and food waste management from the Italian food processing industry

description: Food waste is a major challenge for the food industry, accounting for 14% of the world's food between harvest and the retail market. The adoption of effective prevention and reduction strategies requires awareness of the quantity of waste generated, yet firm-level data is lacking. Collecting and exploiting more data is essential for addressing societal, climate, and environmental challenges. Despite recognizing the importance of measuring food waste, companies lack cohesive and applicable measures, and there is limited empirical research on the topic due to its complexity. Accurate data collection is hindered by improper recording, lack of standardized methods, and diverse sources.
This paper contributes to filling this gap by presenting a novel dataset on surplus food and food waste management practices in the Italian food processing industry, gathered from 1,812 firms. The dataset includes 181 variables, covering 31 topics related to firm characteristics, food waste practices, and food waste performance, and provides a detailed, representative snapshot of the sector. This extensive dataset aims to facilitate further studies and enhance understanding of food waste management.
DOI: 10.5281/zenodo.16222234
title: conda virtual environments

description: This dataset includes the conda virtual environments.
DOI: 10.6084/m9.figshare.28204499.v1
title: Survey data on firm-level surplus food and food waste management from the Italian food processing industry

description: Food waste is a major challenge for the food industry, accounting for 14% of the world's food between harvest and the retail market. The adoption of effective prevention and reduction strategies requires awareness of the quantity of waste generated, yet firm-level data is lacking. Collecting and exploiting more data is essential for addressing societal, climate, and environmental challenges. Despite recognizing the importance of measuring food waste, companies lack cohesive and applicable measures, and there is limited empirical research on the topic due to its complexity. Accurate data collection is hindered by improper recording, lack of standardized methods, and diverse sources.
This paper contributes to filling this gap by presenting a novel dataset on surplus food and food waste management practices in the Italian food processing industry, gathered from 1,812 firms. The dataset includes 181 variables, covering 31 topics related to firm characteristics, food waste practices, and food waste performance, and provides a detailed, representative snapshot of the sector. This extensive dataset aims to facilitate further studies and enhance understanding of food waste management.
DOI: 10.5281/zenodo.16222233
title: conda virtual environments

description: This dataset includes the conda virtual environments.
DOI: 10.6084/m9.figshare.28706651
title: A chromosome-level genome assembly of Guimi No. 2 (Actinidia chinensis)

description: A chromosome-level genome assembly of Guimi No. 2 (Actinidia chinensis)
DOI: 10.6084/m9.figshare.28706651.v1
title: A chromosome-level genome assembly of Guimi No. 2 (Actinidia chinensis)

description: A chromosome-level genome assembly of Guimi No. 2 (Actinidia chinensis)
DOI: 10.3535/jpg-qmg-jsa
title: Sphaerium corneum (Linnaeus, 1758)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/z8k-dt0-3p5
title: Alvania punctura (Montagu, 1803)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/2za-vzp-zc2
title: Dikoleps cutleriana (W. Clark, 1849)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.3535/6ft-sdc-7kc
title: Pupilla muscorum (Linnaeus, 1758)

description: Digital Specimen for the physical specimen hosted at Naturalis Biodiversity Center.
DOI: 10.15468/dl.4njk4x
title: Occurrence Download

description: A dataset containing 200089 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Persicaria hydropiper",
 "Year 1957-2022"
 ]
}

 The dataset includes 200089 records from 1234 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003196-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.