cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.13821809
title: Table 1 in A new species-group with new species of the genus Lasioseius (Acari: Mesostigmata: Blattisociidae) associated with Neotropical hispine beetles in furled leaves ofHeliconia

description: Table 1 Co-occurrence of species of Lasioseius with beetles in host plant leaves, La Selva, Costa Rica. Abbreviations: coex, coexistent; H., Heliconia; n/c, no data; ALAS, Arthopods of La Selva parataxonomist collectors; DJ, Derek Johnson, collector; EEL, Evert E. Lindquist, collector; MP, Maylin Paniagua, collector.
Collection RecordsLasioseius new speciesColl. datehost beetlehost plantcollectorcassid.serripesfuscinaduobtu.Feb '94Chelobasis sp.H. pogonanthaEEL/ALAS++Feb '94Cephaloleia vicina (= bella)H. pogonanthaEEL/ALAS+18 Feb '94Chrysomelidaen/cALAS++15 Apr '94Chrysomelidaen/cMP+++June '97Cephaloleia vicina (= bella)H. pogonanthan/c+June '97Cephaloleia bellan/cDJ+June '97Cephaloleia beltin/cDJ+June '97Cephaloleia ornatrixn/cDJ+2 June '97hispinesHeliconiaceae leavesEEL+12 June '97n/cHeliconia leavesALAS++12 June '97coex Ceph. belti / ornatrixHeliconia leavesALAS+++12 June '97Ceph. aequilata (= dilaticollis)CalatheaALAS+12 June '97Cephaloleia erichsoniiCalatheaALAS+8 July '97Chelobasis perplexan/cMP (739027,8)++8 July '97Cephaloleia bellaH. pogonanthaMP+97?Cephaloleia beltiCalatheaALAS+May ’97Chelobasis bicolorn/cDJ -Corcovado NP+
description: Published as part of Moraza, Maria L. & Lindquist, Evert E., 2018, A new species-group with new species of the genus Lasioseius (Acari: Mesostigmata: Blattisociidae) associated with Neotropical hispine beetles in furled leaves ofHeliconia, pp. 94 in Acarologia 58 (1) on page 94, DOI: 10.24349/acarologia/20184227, http://zenodo.org/record/4487537
DOI: 10.15468/dl.w3s68c
title: Occurrence Download

description: A dataset containing 111 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Chionoecetes japonicus Rathbun, 1932",
 "Geometry POLYGON((170 20, 170 50, 120 50, 120 20, 170 20))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 111 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019871-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.10843764
title: The impact of domestic combustion of biomass pellets on the environment and human health: Example from Poland

description: Submitted data was used to write an article: Drobniak, A., Jelonek, Z., Mastalerz, M., Jelonek, I., Widziewicz-Rzońca, K., The impact of domestic combustion of biomass pellets on the environment and human health: Example from Poland – in preparation.

 

Funding acknowledgments: The project is co-financed by the Polish National Agency for Academic Exchange within the Polish Returns Programme (BPN/PPO/2021/1/00005/DEC/1), the National Science Center, Poland (2022/01/1/ST10/00024), and the research activities co-financed by the funds granted under the Research Excellence Initiative of the University of Silesia in Katowice, Poland. 

 

Article Abstract:

In the context of the European Union's intensified efforts to curb greenhouse gas emissions and meet climate targets, wood pellets have emerged as a pivotal element in the renewable energy strategy. Yet, biomass pellet combustion has been linked to a range of pollutants impacting air quality and public health. As biomass utilization gains popularity as a fuel for residential heating, it is important to determine this impact and enhance sustainable practices throughout the entire biomass energy production cycle. 

This study investigates the intricate dynamics of biomass pellet properties on their combustion emissions, with a specific focus on the differences observed between pellets of woody and non-woody origins. The data reveal a variation in pellet characteristics, especially regarding their ash and fines contents, mechanical durability, and impurity levels, and significant differences in the type and amount of utilization emissions. The results highlight potential health risks posed by the combustion of biomass fuels, particularly non-woody (agro) pellets, due to elevated concentrations of emitted particulate matter (PM), carbon monoxide (CO), nitrogen dioxide (NO2), hydrogen sulfide (H2S), ammonia (NH3), chlorine (Cl2), sulfur dioxide (SO2), and formaldehyde (HCHO), all surpassing recommended limits.

Moreover, the study reveals that emissions from pellet combustion could be partially predicted by analyzing pellet characteristics. Statistical analysis identified several key variables—including bark content, fines content, mechanical durability, bulk density, heating value, net calorific value, sulfur, and nitrogen content—that impact emissions of CO, NO2, H2S, SO2, HCHO, and respiratory tract irritants. These findings underscore the need for proactive measures, including the implementation of stricter standards for fuel quality and emissions, alongside public education initiatives promoting the cleanest and safest fuels possible.
DOI: 10.5281/zenodo.10843765
title: The impact of domestic combustion of biomass pellets on the environment and human health: Example from Poland

description: Submitted data was used to write an article: Drobniak, A., Jelonek, Z., Mastalerz, M., Jelonek, I., Widziewicz-Rzońca, K., The impact of domestic combustion of biomass pellets on the environment and human health: Example from Poland – in preparation.

 

Funding acknowledgments: The project is co-financed by the Polish National Agency for Academic Exchange within the Polish Returns Programme (BPN/PPO/2021/1/00005/DEC/1), the National Science Center, Poland (2022/01/1/ST10/00024), and the research activities co-financed by the funds granted under the Research Excellence Initiative of the University of Silesia in Katowice, Poland. 

 

Article Abstract:

In the context of the European Union's intensified efforts to curb greenhouse gas emissions and meet climate targets, wood pellets have emerged as a pivotal element in the renewable energy strategy. Yet, biomass pellet combustion has been linked to a range of pollutants impacting air quality and public health. As biomass utilization gains popularity as a fuel for residential heating, it is important to determine this impact and enhance sustainable practices throughout the entire biomass energy production cycle. 

This study investigates the intricate dynamics of biomass pellet properties on their combustion emissions, with a specific focus on the differences observed between pellets of woody and non-woody origins. The data reveal a variation in pellet characteristics, especially regarding their ash and fines contents, mechanical durability, and impurity levels, and significant differences in the type and amount of utilization emissions. The results highlight potential health risks posed by the combustion of biomass fuels, particularly non-woody (agro) pellets, due to elevated concentrations of emitted particulate matter (PM), carbon monoxide (CO), nitrogen dioxide (NO2), hydrogen sulfide (H2S), ammonia (NH3), chlorine (Cl2), sulfur dioxide (SO2), and formaldehyde (HCHO), all surpassing recommended limits.

Moreover, the study reveals that emissions from pellet combustion could be partially predicted by analyzing pellet characteristics. Statistical analysis identified several key variables—including bark content, fines content, mechanical durability, bulk density, heating value, net calorific value, sulfur, and nitrogen content—that impact emissions of CO, NO2, H2S, SO2, HCHO, and respiratory tract irritants. These findings underscore the need for proactive measures, including the implementation of stricter standards for fuel quality and emissions, alongside public education initiatives promoting the cleanest and safest fuels possible.
DOI: 10.15468/dl.zq3wpa
title: Occurrence Download

description: A dataset containing 6220 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Orobanche reticulata Wallr."
 ]
}

 The dataset includes 6220 records from 195 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019870-241126133413365/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.27967980
title: ItaIst_DdAC_GRU

description: ItaIst DdAC GRU Corpus
DOI: 10.6084/m9.figshare.27967980.v1
title: ItaIst_DdAC_GRU

description: ItaIst DdAC GRU Corpus
DOI: 10.34740/kaggle/dsv/10097478
title: Untreated Depression and College Students
DOI: 10.15468/dl.u37et6
title: Occurrence Download

description: A dataset containing 86 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "Geometry POLYGON((121 42,128 42,128 50,121 50,121 42))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Grus japonensis (Statius Muller, 1776)",
 "Year 2000-2024"
 ]
}

 The dataset includes 86 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019872-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mtyhef
title: Occurrence Download

description: A dataset containing 3 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Pinus echinata Mill.",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is Living Specimen"
 ]
}

 The dataset includes 3 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019873-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qnnd34
title: Occurrence Download

description: A dataset containing 1631 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Aulorhynchus flavidus Gill, 1861",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 1631 records from 39 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019874-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.82cjpu
title: Occurrence Download

description: A dataset containing 2955 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Specimen)",
 "Continent is South America",
 "TaxonKey is Tabebuia aurea (Silva Manso) Benth. & Hook.fil. ex S.Moore"
 ]
}

 The dataset includes 2955 records from 163 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019877-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jvscf9
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Chionoecetes pacificus Sakai, 1978",
 "Geometry POLYGON((170 20, 170 50, 120 50, 120 20, 170 20))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019878-241126133413365/datasets/export for details.
DOI: 10.15468/dl.vyqw6m
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Pinus edulis Engelm.",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is Living Specimen"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019882-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.t8hkf4
title: Occurrence Download

description: A dataset containing 1257 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Specimen)",
 "Continent is South America",
 "TaxonKey is Tabebuia insignis (Miq.) Sandwith"
 ]
}

 The dataset includes 1257 records from 96 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019881-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.g3ajbj
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON ((38.43901 -3.308333, 38.43917 -3.308333, 38.43917 -3.308171, 38.43901 -3.308333))",
 "TaxonKey is Mammalia"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019879-241126133413365/datasets/export for details.
DOI: 10.15468/dl.azhdva
title: Occurrence Download

description: A dataset containing 191 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "TaxonKey is Grus nigricollis Prjevalsky, 1876",
 "Year 1985-2010"
 ]
}

 The dataset includes 191 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019884-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ye7wy6
title: Occurrence Download

description: A dataset containing 552 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Chelidonichthys spinosus (McClelland, 1844)",
 "Geometry POLYGON((170 20, 170 50, 120 50, 120 20, 170 20))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 552 records from 23 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019880-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ad638p
title: Occurrence Download

description: A dataset containing 16 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Ianiropsis epilittoralis Menzies, 1952"
 ]
}

 The dataset includes 16 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019886-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gxba93
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON ((38.43985 -3.3075, 38.44083 -3.3075, 38.44083 -3.306667, 38.44333 -3.306667, 38.44333 -3.305833, 38.44583 -3.305833, 38.44583 -3.305, 38.4475 -3.305, 38.4475 -3.304167, 38.44833 -3.304167, 38.44833 -3.303333, 38.44917 -3.303333, 38.44917 -3.3025, 38.45 -3.3025, 38.45 -3.300833, 38.45083 -3.300833, 38.45083 -3.299167, 38.45167 -3.299167, 38.45167 -3.298333, 38.4525 -3.298333, 38.4525 -3.296667, 38.45333 -3.296667, 38.45333 -3.295, 38.45417 -3.295, 38.45417 -3.294167, 38.455 -3.294167, 38.455 -3.2925, 38.45583 -3.2925, 38.45583 -3.291667, 38.45667 -3.291667, 38.45667 -3.290833, 38.4575 -3.290833, 38.4575 -3.28999, 38.43985 -3.3075))",
 "TaxonKey is Mammalia"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019885-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vv49zj
title: Occurrence Download

description: A dataset containing 39 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Chelidonichthys kumu (Cuvier, 1829)",
 "Geometry POLYGON((170 20, 170 50, 120 50, 120 20, 170 20))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 39 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019887-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.nmxajv
title: Occurrence Download

description: A dataset containing 104 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Chesnonia verrucosa (Lockington, 1880)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 104 records from 22 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019888-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14282076
title: Cross-validation of methods for quantifying the contribution of local (urban) and regional sources to PM2.5 pollution: application in the Eastern Mediterranean (Cyprus).

description: This file contains PM2.5 chemical composition data for sampling conducted at four locations in Cyprus (NICTRA, NICRES, LIMRES and AMX) for the period spanning from July 2016 to June 2017
DOI: 10.5281/zenodo.14282077
title: Cross-validation of methods for quantifying the contribution of local (urban) and regional sources to PM2.5 pollution: application in the Eastern Mediterranean (Cyprus).

description: This file contains PM2.5 chemical composition data for sampling conducted at four locations in Cyprus (NICTRA, NICRES, LIMRES and AMX) for the period spanning from July 2016 to June 2017
DOI: 10.5281/zenodo.14278526
title: Lidar dataset including drone logs, Vineyard Sept 2024 parts 2 and 3

description: Multispectral and RGB image datasets, parts 2 and 3. See seperate upload for part 1.

Contains jpeg and tif images plus drone flight logs.

Collected September 2024 using DJI Mavic 3M
DOI: 10.5281/zenodo.14278527
title: Lidar dataset including drone logs, Vineyard Sept 2024 parts 2 and 3

description: Multispectral and RGB image datasets, parts 2 and 3. See seperate upload for part 1.

Contains jpeg and tif images plus drone flight logs.

Collected September 2024 using DJI Mavic 3M
DOI: 10.15468/dl.2rnrtk
title: Occurrence Download

description: A dataset containing 3 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Pinus elliottii Engelm.",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is Living Specimen"
 ]
}

 The dataset includes 3 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019889-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.10276149
title: UAV Spraying Parameters-Coverage in Vineyards

description: A set of UAV spraying data collected using WSPs, across different parameter configurations. All tests were conducted in an experimental vineyard, under field conditions. All WSP samples were analysed using the DepositScan software developed by USDA (doi: 10.1016/j.compag.2011.01.003), and all coverage and VMD values are estimated by this software.
DOI: 10.5281/zenodo.14280681
title: UAV Spraying Parameters-Coverage in Vineyards (2024 Experimental Year)

description: The UC2 canopy coverage data from the 2023 trials in vineyards.

 

A set of UAV spraying data collected using WSPs, across different parameter configurations. All tests were conducted in an experimental vineyard, under field conditions following environmental "safe limits" for all itterations to be considered valid (adapted from ISO 22866-2005). All WSP samples were analysed using the DepositScan software developed by USDA (doi: 10.1016/j.compag.2011.01.003), and all coverage and VMD values are estimated by this software.
DOI: 10.5281/zenodo.14280682
title: UAV Spraying Parameters-Coverage in Vineyards (2024 Experimental Year)

description: The UC2 canopy coverage data from the 2023 trials in vineyards.

 

A set of UAV spraying data collected using WSPs, across different parameter configurations. All tests were conducted in an experimental vineyard, under field conditions following environmental "safe limits" for all itterations to be considered valid (adapted from ISO 22866-2005). All WSP samples were analysed using the DepositScan software developed by USDA (doi: 10.1016/j.compag.2011.01.003), and all coverage and VMD values are estimated by this software.
DOI: 10.15468/dl.qebc6k
title: Occurrence Download

description: A dataset containing 1379 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Specimen)",
 "Continent is South America",
 "TaxonKey is Swietenia macrophylla G.King"
 ]
}

 The dataset includes 1379 records from 126 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019890-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14101798
title: Dataset supporting the tool 'delfies: a Python package for the detection of DNA breakpoints with neo-telomere addition'

description: Purpose

These data can be used to test my tool delfies on real data, to get a concrete sense of its inputs/outputs and test that it is properly installed.

Description

Genome

I downloaded the genome of Oscheius onirici, accession: GCA_932521025.

I subsampled the genome to the last 2kbp of chromosome I, which contains an elimination breakpoint, using `seqkit` v2.8.2, giving the FASTA file in this release.

Sequencing data

I then downloaded the following sequencing data for *O. onirici*, from the European Nucleotide Archive:



ERR5967937: Illumina NovaSeq 6000 paired end short reads. Reads are 2x150bp with average per-base quality of Q27.

ERR10796202: Oxford Nanopore PromethION long reads. Reads have average length 11.9kbp and average per-base quality Q11.4.

ERR7979900: Pacific Biosciences (PacBio) Sequel II long reads. Reads have average length 11.1kbp and average per-base quality Q28.


And aligned them to the above genome with `minimap2` version 2.26-r1175, using the following presets: "map-ont" for the Nanopore data, "map-hifi" for the PacBio data, "sr" for the Illumina data.

After sorting with `samtools`, this gives the BAM files in this release.

Running delfies

I then ran `delfies` version 0.6.0 on each BAM and genome, as:

```shdelfies --threads 16 \    --telo_forward_seq TTAGGC \    --breakpoint_type all \    --min_mapq 20 \    --min_supporting_reads 6 \    \${genome} \${bam} \${odirname}```

The three resulting output directories are in this release, prefixed with `delfies_`.

A single, identical breakpoint is found using all three BAMs (see files '*breakpoint_locations.bed').

Data source

The above raw data were produced and released by the Wellcome Sanger Institute as part of projects PRJEB51305 and PRJEB59023.