cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5285/5f988cd4-479d-4e35-8835-42f80ebc1698
title: Faecal indicator data from 54 lakes in Greater Glasgow, Cumbria, and Norfolk, UK, 2016-2017

description: This dataset contains information about water quality based on faecal indicators at eighteen lakes in each of three lake districts: 
 -  Greater Glasgow conurbation, Scotland
 -  Cumbria, NW England
 -  Norfolk, E England.

Lakes were sampled once in each of three seasons (spring, summer and autumn) in either 2016 (Norfolk) or 2017 (Cumbria and Greater Glasgow) with faecal indicators being quantified at three discrete sampling stations in each lake (>50m apart) and at three points at each station (i.e. nine samples per lake per sampling date).  Faecal indicators were quantified based on standard dilution, membrane filtration and incubation, followed by colony counting.

The data were collected to investigate the fine scale connectivity between Faecal Indicator Organisms (FIO) densities within water bodies and diffuse and point source inputs from the adjacent catchment and from biological vectors. They also provide an indication of the relative sources of variation in reported concentrations that is relevant for environmental regulatory purposes.

The work was supported by the Natural Environment Research Council grant NE/N006437/1 (Hydroscape: connectivity x stressor interactions in freshwater habitats).
description: Sub-surface water samples obtained from multiple discrete points within 18 water bodies in each of three lake districts via wading and shore-based sampling.

Standard water body characteristics (area, elevation, perimeter etc) are available from the UK Lakes Portal (https://uklakes.ceh.ac.uk/).

Water samples for microbial analysis were stored at 4 degrees C and processed within six hours of collection. 100ml samples at three dilutions were ﬁltered through 0.45-um membrane ﬁlters, placed onto the surface of Membrane Lactose Glucoronide Agar (MLGA agar). Plates were incubated at 37 degrees C and counted after 24 hours. Counts are reported as number of Colony Forming Units (CFU) per 100 ml water.

Data limitations: spatial sampling points within each water body were established with a handheld GPS with typical accuracy of +/- 3-5m. Concentrations of Faecal Indicator Organisms (FIOs), especially in water, are highly spatially and temporally variable over short distances and time scales. The data therefore provide a near instantaneous picture of the spatial variation in FIO concentrations within a water body at a given time. The data are suitable for an assessment of relative sources of variation in FIO concentrations (i.e. within sample location, between sample location, between site, between district and between season).

Data were added to an Excel spreadsheet and exported as .csv files for deposit into the EIDC.
DOI: 10.15468/dl.ckjuaq
title: Occurrence Download

description: A dataset containing 6 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Mostacillastrum pectinifolium",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Specimen)"
 ]
}

 The dataset includes 6 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001566-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18428098
title: Gap Filling of Photosynthetically Active Radiation Data in Oil Palm Production Using Mean Diurnal Variation Method
DOI: 10.5281/zenodo.18428099
title: Gap Filling of Photosynthetically Active Radiation Data in Oil Palm Production Using Mean Diurnal Variation Method
DOI: 10.6084/m9.figshare.31203943
title: Dataset for "Strategies for climate change mitigation in rice farming should account for biodiversity"

description: Climate change and biodiversity loss are two interconnected global crises, yet mitigation efforts often address them in isolation. Rice farming plays a dual role in these agri-environmental challenges—both as a significant global contributor to greenhouse gas emissions but also as a key agroecosystem supporting freshwater biodiversity. Water-saving irrigation strategies have been globally promoted to reduce methane emissions in rice, yet emerging evidence reveals that these strategies may have collateral negative outcomes for aquatic organisms. This article highlights the urgent need for more research that holistically assesses the diverse impacts of climate change mitigation in rice farming and argues for a spatiotemporal framework to ensure that mitigation policies do not exacerbate biodiversity loss. Finally, we discuss how carbon market incentives should incorporate biodiversity outcomes to prevent unintended environmental trade-offs.
DOI: 10.6084/m9.figshare.31203943.v1
title: Dataset for "Strategies for climate change mitigation in rice farming should account for biodiversity"

description: Climate change and biodiversity loss are two interconnected global crises, yet mitigation efforts often address them in isolation. Rice farming plays a dual role in these agri-environmental challenges—both as a significant global contributor to greenhouse gas emissions but also as a key agroecosystem supporting freshwater biodiversity. Water-saving irrigation strategies have been globally promoted to reduce methane emissions in rice, yet emerging evidence reveals that these strategies may have collateral negative outcomes for aquatic organisms. This article highlights the urgent need for more research that holistically assesses the diverse impacts of climate change mitigation in rice farming and argues for a spatiotemporal framework to ensure that mitigation policies do not exacerbate biodiversity loss. Finally, we discuss how carbon market incentives should incorporate biodiversity outcomes to prevent unintended environmental trade-offs.
DOI: 10.57903/uj/jxopw3
title: Working memory (capacity) behavioral tasks in online and laboratory settings: data from SymSPAN and OSPAN tasks

description: The dataset comprises performance measures from adult participants who completed two experimental tasks designed to assess working memory: the Operation Span Task (OSPAN) and the Symmetry Span Task (SymmSpan). Each participant completed these tasks on separate days in both an online (web-based) setting and across two distinct laboratory (offline) sessions. All tasks were administered using Inquisit Web software. Data for the online phase were collected between May 5, 2023, and December 6, 2023, while the laboratory phase took place between February 23, 2024, and June 3, 2024. Initially, a large participant pool was recruited for the online phase through social media (Facebook), university advertisements, and flyers, resulting in a final sample of 566 participants. Based on their performance in the online tasks, a subset of 207 individuals—reflecting a range of working memory capacities—was randomly selected and invited to complete the same tasks during two subsequent laboratory sessions.
DOI: 10.17632/gf3vw2nrzv
title: Urban Grassland Vegetation in Latvia: A Case Study of Jelgava

description: This dataset presents urban grassland vegetation data from Jelgava, Latvia, based on field inspections of 1 × 1 m sample plots in urban grasslands. Vegetation was recorded using the Braun–Blanquet method, and the dataset includes information on species composition, cover, frequency, constancy, and similarity between plots, supporting studies on urban ecology and biodiversity.
The data publication consists of two interrelated datasets: one containing field survey data on urban grassland vegetation and the other providing geographic coordinates of the surveyed sample plots. The coordinate dataset enables spatial analysis and the use of the data in GIS environments (e.g., ArcGIS) and other spatial analysis tools.
DOI: 10.5281/zenodo.18202530
title: Data for the article "Assessing and Comparing the Coverage of Publications of Italian Universities in OpenCitations"

description: These are the data produced for the analysis described in the article "Assessing and Comparing the Coverage of Publications of Italian Universities in Open Infrastructures". This study evaluates the coverage and citation representation of publications recorded in the Current Research Information Systems (CRIS), all instances of the IRIS software platform, of six Italian universities within OpenCitations. Using persistent identifiers (DOIs, PMIDs, and ISBNs) specified in the IRIS installations involved, we matched the publication recorded in OpenCitations Meta and extracted the corresponding citation links from the OpenCitations Index. In particular, the present datasets enabled us to answer the following research questions (RQs):





What is the coverage in OpenCitations of the publications listed in the IRIS installations of Italian Universities?




How many citations are available in OpenCitations that involve, either as the citing entity or as the cited entity, the publications in such IRIS installations?




Which types of publications are not covered in OpenCitations?



The dataset contains several folders, one for each university involved. Each folder contains the following sub-directories:



iris_in_oc_meta contains basic bibliographic information of the IRIS publication recognised in OpenCitations Meta;

iris_in_oc_index contains all the citations extracted from OpenCitations Index that involve any of the IRIS publications included in iris_in_oc_meta;

iris_no_pid contains basic bibliographic information of the IRIS publications that do not specify any of the PIDs (i.e. DOI, PMID, ISBN) necessary for mapping them with the entries in OpenCitations Meta;

iris_not_in_meta contains basic bibliographic information for IRIS publications with the requested PIDs that were not recognised in OpenCitations Meta.


In addition, the archive contains two additional files:



logs, which contains the printed logs of the process executed to obtain the aforementioned data;

Mapping_IRIS_MIUR.xlsx, which maps the IRIS publication types with the national categories defined by the Italian Ministry of University and Research.
DOI: 10.5281/zenodo.18420851
title: Supplementary Data for: Risk Analysis and Technical Validation of Vulnerable and Outdated Components (OWASP A06:2021) in Legacy Operating Systems Using Metasploit Framework

description: This dataset contains technical evidence and execution logs supporting the research paper titled "Risk Analysis and Technical Validation of Vulnerable and Outdated Components (OWASP A06:2021) in Legacy Operating Systems Using Metasploit Framework"

 

Environment:





Attacker: Kali Linux 2025.1




Victim: Windows 7 SP1 (x64) - Unpatched




Network: Isolated Host-Only Adapter (VirtualBox)
DOI: 10.5281/zenodo.18420852
title: Supplementary Data for: Risk Analysis and Technical Validation of Vulnerable and Outdated Components (OWASP A06:2021) in Legacy Operating Systems Using Metasploit Framework

description: This dataset contains technical evidence and execution logs supporting the research paper titled "Risk Analysis and Technical Validation of Vulnerable and Outdated Components (OWASP A06:2021) in Legacy Operating Systems Using Metasploit Framework"

 

Environment:





Attacker: Kali Linux 2025.1




Victim: Windows 7 SP1 (x64) - Unpatched




Network: Isolated Host-Only Adapter (VirtualBox)
DOI: 10.17632/gf3vw2nrzv.2
title: Urban Grassland Vegetation in Latvia: A Case Study of Jelgava

description: This dataset presents urban grassland vegetation data from Jelgava, Latvia, based on field inspections of 1 × 1 m sample plots in urban grasslands. Vegetation was recorded using the Braun–Blanquet method, and the dataset includes information on species composition, cover, frequency, constancy, and similarity between plots, supporting studies on urban ecology and biodiversity.
The data publication consists of two interrelated datasets: one containing field survey data on urban grassland vegetation and the other providing geographic coordinates of the surveyed sample plots. The coordinate dataset enables spatial analysis and the use of the data in GIS environments (e.g., ArcGIS) and other spatial analysis tools.
DOI: 10.5281/zenodo.18039953
title: Data for the article "Assessing and Comparing the Coverage of Publications of Italian Universities in OpenCitations"

description: These are the data produced for the analysis described in the article "Assessing and Comparing the Coverage of Publications of Italian Universities in Open Infrastructures". This study evaluates the coverage and citation representation of publications recorded in the Current Research Information Systems (CRIS), all instances of the IRIS software platform, of six Italian universities within OpenCitations. Using persistent identifiers (DOIs, PMIDs, and ISBNs) specified in the IRIS installations involved, we matched the publication recorded in OpenCitations Meta and extracted the corresponding citation links from the OpenCitations Index. In particular, the present datasets enabled us to answer the following research questions (RQs):





What is the coverage in OpenCitations of the publications listed in the IRIS installations of Italian Universities?




How many citations are available in OpenCitations that involve, either as the citing entity or as the cited entity, the publications in such IRIS installations?




Which types of publications are not covered in OpenCitations?



The dataset contains several folders, one for each university involved. Each folder contains the following sub-directories:



iris_in_oc_meta contains basic bibliographic information of the IRIS publication recognised in OpenCitations Meta;

iris_in_oc_index contains all the citations extracted from OpenCitations Index that involve any of the IRIS publications included in iris_in_oc_meta;

iris_no_pid contains basic bibliographic information of the IRIS publications that do not specify any of the PIDs (i.e. DOI, PMID, ISBN) necessary for mapping them with the entries in OpenCitations Meta;

iris_not_in_meta contains basic bibliographic information for IRIS publications with the requested PIDs that were not recognised in OpenCitations Meta.


In addition, the archive contains two additional files:



logs, which contains the printed logs of the process executed to obtain the aforementioned data;

Mapping_IRIS_MIUR.xlsx, which maps the IRIS publication types with the national categories defined by the Italian Ministry of University and Research.
DOI: 10.17632/yw87vtdbsh
title: Lithology and compositions of the Onnuri oceanic core complex, Central Indian Ridge

description: This dataset provides a comprehensive suite of petrological and geochemical data used to characterize the subseafloor architecture and lithological variations of the Onnuri oceanic core complex (OCC) at 11°25’S on the Central Indian Ridge. The data is derived from rock samples recovered from the detachment fault surface and its extensively exposed 1-km vertical slopes (the NE and SE slopes) through targeted dredge hauls and Remotely Operated Vehicle (ROV) dives. These datasets offer fundamental geological constraints on the crustal composition, magmatic evolution, and strain partitioning mechanisms beneath a high-temperature ultramafic-hosted hydrothermal system.
DOI: 10.17632/yw87vtdbsh.1
title: Lithology and compositions of the Onnuri oceanic core complex, Central Indian Ridge

description: This dataset provides a comprehensive suite of petrological and geochemical data used to characterize the subseafloor architecture and lithological variations of the Onnuri oceanic core complex (OCC) at 11°25’S on the Central Indian Ridge. The data is derived from rock samples recovered from the detachment fault surface and its extensively exposed 1-km vertical slopes (the NE and SE slopes) through targeted dredge hauls and Remotely Operated Vehicle (ROV) dives. These datasets offer fundamental geological constraints on the crustal composition, magmatic evolution, and strain partitioning mechanisms beneath a high-temperature ultramafic-hosted hydrothermal system.
DOI: 10.15468/dl.ukdwcx
title: Occurrence Download

description: A dataset containing 81303 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is one of (Aedes aegypti)"
 ]
}

 The dataset includes 81303 records from 112 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001549-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18428226
title: MATEMATIK BILMLARNI BAHOLASH ORQALI JAMIYAT A'ZOLARIGA TA'SIR ETISH

description: Haqiqatdan    ham   hozirgi    ta’lim   jarayoniga   yaqindan   e’tibor   beradigan   bo’lsak,   o’quvchilarga   berilishi   lozim   bo’lgan   bilimlar   halmining   oshib   borayotganligi,   lekin   bu   bilimlarni   o’zlashtirish   darajasining   tobora    pasayib   borayotganligiga   guvoh   bo’lamiz.    Buning   muhim   sabablaridan   biri,   bilim   natijasini   ifodalovchi   baholash   jarayoniga   eskicha   nuqtai   nazardan    yondashilayotganidadir.
DOI: 10.5281/zenodo.18428225
title: MATEMATIK BILMLARNI BAHOLASH ORQALI JAMIYAT A'ZOLARIGA TA'SIR ETISH

description: Haqiqatdan    ham   hozirgi    ta’lim   jarayoniga   yaqindan   e’tibor   beradigan   bo’lsak,   o’quvchilarga   berilishi   lozim   bo’lgan   bilimlar   halmining   oshib   borayotganligi,   lekin   bu   bilimlarni   o’zlashtirish   darajasining   tobora    pasayib   borayotganligiga   guvoh   bo’lamiz.    Buning   muhim   sabablaridan   biri,   bilim   natijasini   ifodalovchi   baholash   jarayoniga   eskicha   nuqtai   nazardan    yondashilayotganidadir.
DOI: 10.15468/dl.85zuyx
title: Occurrence Download

description: A dataset containing 30946 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Panicum dichotomiflorum"
 ]
}

 The dataset includes 30946 records from 863 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001568-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15454/1.4539792655245962e12
title: Data and metadata dealing with prokaryote and viral abundances from a variety of ecosystems

description: Data from 210 articles and five unpublished studies were used in a meta-analysis. Articles were gathered using on-line databases (ScienceDirect, Wiley Online Library, Springer Link, PubMed and Google), using the keywords "virus-to-prokaryote ratio", "virus-to-bacterium ratio", "VPR", "VBR" and "viral abundance". Interesting reports were also found within the references of publications dealing with viral ecology. Publications were chosen according to the data they contained with a priority on articles containing VPR values (184 out of the 210 publications and four out of five unpublished studies) and viral abundance data. Articles lacking information on VPR and viral numbers were discarded (e.g. reports with only prokaryotic abundance, but lacking data on viral numbers, etc.), as the focus was on the ratio between viruses and prokaryotes. When data of interest was not available in the analysed reports, authors were contacted for more detail. When VPR values were not cited as such given within a publication, they were calculated according to the given viral and prokaryotic abundances provided therein.
DOI: 10.17611/dp/18806967
title: Global ShakeMovie synthetic for February 10, 2021 MW 5.8 SOUTHEAST OF LOYALTY ISLANDS
DOI: 10.17611/dp/18806971
title: Global ShakeMovie synthetic for February 10, 2021 MW 5.8 SOUTHEAST OF LOYALTY ISLANDS
DOI: 10.17611/dp/18809399
title: Global ShakeMovie synthetic for February 20, 2021 MW 5.5 VANUATU ISLANDS
DOI: 10.5281/zenodo.2539823
title: Daily cross-correlation functions for "Time-lapse monitoring of seismic velocity associated with 2011 Shinmoe-dake eruption  using seismic interferometry: an extended Kalman filter approach"

description: The daily cross-correlation functions used in Nishida et al. 2020. We used three-component seismograms recorded at eight stations (six broadband sensors and two short-period sensors with a natural frequency of 1 Hz) from May 1st, 2010 to April 30th, 2018. Five stations were deployed by the Earthquake Research Institute, the University of Tokyo, and the other three were deployed by the National Research Institute for Earth Science and Disaster Prevention (NIED). The data can be found in the HDF5 file. You can also find a python code of an implementation of an extended Kalman filter/smoother for time-lapse monitoring of seismic velocity at GitHub (https://github.com/qnishida/eKlfS). The code estimates the temporal change in seismic velocities using this data set.
DOI: 10.5281/zenodo.2539824
title: Daily cross-correlation functions for "Time-lapse monitoring of seismic velocity associated with 2011 Shinmoe-dake eruption  using seismic interferometry: an extended Kalman filter approach"

description: The daily cross-correlation functions used in Nishida et al. 2020. We used three-component seismograms recorded at eight stations (six broadband sensors and two short-period sensors with a natural frequency of 1 Hz) from May 1st, 2010 to April 30th, 2018. Five stations were deployed by the Earthquake Research Institute, the University of Tokyo, and the other three were deployed by the National Research Institute for Earth Science and Disaster Prevention (NIED). The data can be found in the HDF5 file. You can also find a python code of an implementation of an extended Kalman filter/smoother for time-lapse monitoring of seismic velocity at GitHub (https://github.com/qnishida/eKlfS). The code estimates the temporal change in seismic velocities using this data set.
DOI: 10.17611/dp/18809403
title: Global ShakeMovie synthetic for February 22, 2021 MW 5.6 SOUTHEAST OF LOYALTY ISLANDS
DOI: 10.17611/dp/18809407
title: Global ShakeMovie synthetic for February 22, 2021 MW 5.9 MINAHASSA PENINSULA, SULAWESI
DOI: 10.17611/dp/18811771
title: Global ShakeMovie synthetic for January 29, 2021 MW 5.7 PANAMA-COSTA RICA BORDER REGION
DOI: 10.17611/dp/18811775
title: Global ShakeMovie synthetic for January 29, 2021 MW 5.5 PANAMA-COSTA RICA BORDER REGION
DOI: 10.17611/dp/18811779
title: Global ShakeMovie synthetic for February 09, 2021 MW 5.6 NEW BRITAIN REGION, P.N.G.
DOI: 10.17611/dp/18811783
title: Global ShakeMovie synthetic for February 10, 2021 MW 7.7 SOUTHEAST OF LOYALTY ISLANDS
DOI: 10.17611/dp/18811787
title: Global ShakeMovie synthetic for February 11, 2021 MW 5.9 SOUTHEAST OF LOYALTY ISLANDS
DOI: 10.17611/dp/18814186
title: Global ShakeMovie synthetic for February 24, 2021 MW 5.6 ICELAND REGION
DOI: 10.17611/dp/18818088
title: Global ShakeMovie synthetic for February 26, 2021 MW 5.5 W. CAROLINE ISLANDS, MICRONESIA
DOI: 10.17611/dp/18818092
title: Global ShakeMovie synthetic for February 26, 2021 MW 5.8 SOUTHEAST INDIAN RIDGE
DOI: 10.17611/dp/18819878
title: Global ShakeMovie synthetic for February 27, 2021 MW 5.7 FIJI ISLANDS REGION
DOI: 10.17611/dp/18819882
title: Global ShakeMovie synthetic for February 28, 2021 MW 5.6 NEAR COAST OF PERU
DOI: 10.5281/zenodo.16916946
title: Biocompatible Ionic Liquids for Sustainable Polyethylene Terephthalate Degradation: Conventional vs. Microwave Heating Approaches
DOI: 10.5281/zenodo.16916947
title: Biocompatible Ionic Liquids for Sustainable Polyethylene Terephthalate Degradation: Conventional vs. Microwave Heating Approaches
DOI: 10.17611/dp/18819886
title: Global ShakeMovie synthetic for February 28, 2021 MW 5.5 ANDREANOF ISLANDS, ALEUTIAN IS.
DOI: 10.17611/dp/18819890
title: Global ShakeMovie synthetic for February 28, 2021 MW 5.8 SOUTHEAST OF LOYALTY ISLANDS
DOI: 10.17611/dp/18819894
title: Global ShakeMovie synthetic for February 28, 2021 MW 5.9 VANUATU ISLANDS
DOI: 10.17611/dp/18834494
title: Global ShakeMovie synthetic for March 02, 2021 MW 5.5 TAIWAN REGION
DOI: 10.17611/dp/18834498
title: Global ShakeMovie synthetic for March 02, 2021 MW 5.9 EAST OF KURIL ISLANDS
DOI: 10.17611/dp/18834502
title: Global ShakeMovie synthetic for March 03, 2021 MW 6.3 GREECE