cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5073/20201002-102537
title: Dataset from the evaluation of resistance/susceptibility of Malus genetic resources to apple blotch disease (Diplocarpon coronariae)

description: The dataset contains the field evaluation data and data from two artificial inoculation experiments for the evaluation of Malus genetic resources for apple blotch disease. Apple blotch, caused by the fungus, Diplocarpon coronariae, is an economically important disease in organic apple production in Europe. The disease, which occurs worldwide, was first described on leaves of Malus coronaria in Wisconsin, USA. Symptoms of apple blotch are black spots on apple leaves followed by leaf chlorosis and finally severe defoliation before fruit harvest. This weakens the physiological condition of the host, resulting in long-term reduced tree vigour and decreased yields. Currently, apple blotch appears in apple-growing regions in South Germany, Switzerland, Southern Austria and Northern Italy. The only effective method to control the disease is the application of fungicides, which is restricted in organic production. Cultivation of apple blotch-resistant cultivars is a desirable strategy to control the disease but little is known about the resistance of Malus genetic resources. 
We evaluated the Malus wild species accessions of the gene bank collection from the Julius Kühn-Institut for field incidence of apple blotch (Occurence of D. coronariae JKI 2014_15_16_18.csv) and leaf fall (Leaf fall wild species JKI 2015_16_18.csv) over a time period of four years. To confirm the field observations, only leaves of accessions without symptoms were tested by artificial inoculation with spores of D. coronariae in a laboratory assay. The necrotic leaf area was measured 14 days post inoculation (dpi) using the leaf doctor application (Artificial inoculation D. coronariae_wild species.csv). Most of the evaluated cultivars were susceptible and developed symptoms after inoculation with D. coronariae. Information about the resistance/susceptibility of Malus genetic resources to apple blotch is still insufficient. The data obtained will provide insight into potential resistance donors, which can be used in future breeding programs.
DOI: 10.5073/20201016-141600
title: Self-incompatibility (S) genotypes of cultivated sweet cherries – An overview update 2020

description: The fertility in sweet cherry is determined by a gametophytic self-incompatibility system, controlled by a multi-allelic S locus who prevents self-pollination. The fertilization is controlled by the interaction of an S allele specific ribonuclease (S-RNase) in the style with a pollen S specific F-box protein gene (SFB). Knowledge about the S genotype of sweet cherries is very important for cherry growers and breeders. In the last years molecular markers have been developed to distinguish the S alleles in sweet cherries. In the new update from October 2020 a total of 63 incompatibility groups in 1483 sweet cherries have been defined. 26 sweet cherries have a unique combination of S alleles and were described as universal donors and placed in the incompatibility group 0. Additionally, there exist 91 self-compatible sweet cherries, called group SC. A total of 22 different S alleles are described in the cultivated sweet cherries up to date. These are the S alleles S1, S2, S3, S4, S5, S6, S7, S9, S10, S12, S13, S14, S16, S17, S18, S19, S21, S22, S24, S27, S30, S37. The goal of this work is to summaries all known data of the S alleles in cultivated sweet cherries. In Table 1 the S genotypes of all studied sweet cherries are described. Furthermore it includes information about the parentage if they are known. Table 2 gives an overview about all the detected incompatibility groups. The groups are sorted according to the group numbers and the S allele numbers, respectively. In Table 3 all genotypes of the incompatibility group 0 with a unique S genotype are listed. Table 4 includes all known self-compatible sweet cherries. All references to the information of the S genotypes are listed in a file named 'References'. The present update needs to be further improved with all new S alleles data of sweet cherries. In addition, all new information about the parentage is very important for the breeding research. Please send all new or corrected data to the S alleles and the parentage of sweet cherries to mirko.schuster@julius-kuehn.de. An update of the S allele overview will take place in the next years.
DOI: 10.5073/20200803-174646
title: Data to: Development and application of a molecular marker resource for improving drought stress tolerance in rye (Secale cereale L.)

description: Rye (Secale cereale L.) is an important cereal crop in Northern Europe and known for its outstanding tolerance to biotic and abiotic stress including drought. Although the application of next generation sequencing increased the genomic resources for rye significantly, only limited knowledge is yet available on transcripts involved in drought stress tolerance. To identify and map respective genes, transcription profiling combined with in silico mapping of drought-regulated transcripts was performed. Two elite inbred lines of a German hybrid breeding program were exposed to drought under controlled conditions. RNA-seq was performed on cDNA libraries from leaves and from a bulk comprising flag leaves, ears and shoots, respectively. Each of these libraries was derived from both, a stressed and a well-watered variant, resulting in four libraries per genotype, i.e. eight libraries in total. The resulting sequence information supplemented the expressed sequence tag (EST) resource available for rye with 128,010 contigs (S1.fasta). Gene expression was quantified by DeepSuperSAGE tag-based transcription profiling and the response to stress of 47,842 transcripts was determined with respect to drought treatment, genotype and tissue (S3.tsv). In addition, 19,826 single nucleotide polymorphisms (SNP) between the two genotypes (S2.tsv) were detected in 4,437 of the differentially expressed genes (S4.fasta). The chromosomal location of 2,869 transcripts was predicted by comparative mapping using the genome zipper linear gene order model of cereals (S5.tsv). The gene expression data and polymorphisms established here provide a deeper insight in the molecular basis of drought stress response in rye (S6.tsv) and will help to further promote breeding for abiotic stress tolerance in rye and in closely related important cereals. To evaluate the data a bi-parental population was genotyped with the marker resource and phenotyped. Subsequently a genetic map was built (S7.tsv), and a QTL mapping conducted to prove the value of the newly developed resource.
DOI: 10.5073/20200907-140951
title: Dataset from the evaluation of raspberry genetic resources towards oviposition of spotted wing drosophila (Drosophila suzukii)

description: The dataset contains the raw data of several experiments for the evaluation of raspberry genetic resources towards oviposition of spotted wing drosophila (Drosophila suzukii). The data was generated in frame of the project "Evaluation of raspberry and strawberry genetic resources for resistance to spotted wing drosophila (Drosophila suzukii) as base for the supply of resistance cultivars to German fruit production" from 2016 to 2019. The spotted-wing drosophila (SWD) is an invasive insect, which infest thin-skinned berries as strawberries, raspberries, blackberries, blueberries, gooseberries and currants. Females of Drosophila suzukii attack fresh, ripe fruit by using their saw-shaped ovipositor to lay eggs under the fruit’s skin. The infestation occurs previously before fruit harvest and larval development makes the fruits unusable for marketing. The control of D. suzukii is difficult, due to restrictions of pesticide application before harvest. Recent literature reported different raspberry cultivar preferences of D. suzukii. One possibility of sustainable control of D. suzukii could be the cultivation of low susceptible varieties in soft fruits. Development of low susceptible varieties for breeding requires the evaluation and identification of donors possible for breeding purposes. The evaluation of existing genetic resources (varieties and wild species) is the basis for future breeding programs or cultivation practise. The aim of the project is the detection of phenotypic differences in susceptibility against D. suzukii in genetic resources of raspberry. Low susceptible varieties can then be used for breeding or recommended to German growers. We tested the oviposition of D. suzukii to the raspberry cultivar Glen Ample in seven experiments to test reproducibility of the method (raw_data_rubus_larvae_SWD__test_establishment_2017.csv). 
Different ripening stages were evaluated for oviposition preference to D. suzukii (raw_data_rubus_larvae_SWD__ripening stage_201618.csv). A total of sixty raspberry cultivars were evaluated for oviposition preference (raw_data_rubus_larvae_SWD_20161718). Moreover, the sugar content and citric acid as well as the firmness were evaluated and used for a correlation analysis to mean number of larvae (raw_data_rubus_sweetness and titratable citirc acid_201718.csv; raw_data_rubus_firmness_201718.csv).
DOI: 10.17605/osf.io/ecqu3
title: Projecting expected growth period of bivalves

description: Dataset used in the article "Projecting expected growth period of bivalves in a coastal temperate sea"
DOI: 10.5281/zenodo.17945672
title: Teoria do Sol — Versão 1.0
title: Teoria do Sol— 1.0.

description: Este trabalho apresenta a Teoria do Sol 1.0, um modelo teórico exploratório que investiga o Sol como elemento central na organização de processos físicos e biológicos, com implicações para a consciência humana.
DOI: 10.5281/zenodo.17945671
title: Teoria do Sol — Versão 1.0
title: Teoria do Sol— 1.0.

description: Este trabalho apresenta a Teoria do Sol 1.0, um modelo teórico exploratório que investiga o Sol como elemento central na organização de processos físicos e biológicos, com implicações para a consciência humana.
DOI: 10.5281/zenodo.15827637
title: Teasdale et al 2025 Public Git Annex

description: Files from Teasdale et al 2025 Cell Host & Microbe. See https://github.com/coevolutionlab/teasdale-2025-public
description: Use via Git-annex, see https://github.com/coevolutionlab/teasdale-2025-public
DOI: 10.5281/zenodo.17945820
title: Teasdale et al 2025 Public Git Annex

description: Files from Teasdale et al 2025 Cell Host & Microbe. See https://github.com/coevolutionlab/teasdale-2025-public
description: Use via Git-annex, see https://github.com/coevolutionlab/teasdale-2025-public
DOI: 10.15468/dl.z58ek7
title: Occurrence Download

description: A dataset listing the 249 species recorded in GBIF matching the query:
{
 "DatasetKey" : [
 "is Anfibios y reptiles del estado de Tamaulipas, México"
 ]
}

 The dataset's 249 records were derived from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0054125-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bhnuet
title: Occurrence Download

description: A dataset containing 58 species occurrences available in GBIF matching the query:
{
 "and" : [
 "PublishingOrg is one of (2cd829bb-b713-433d-99cf-64bef11e5b3e, 64bd66c1-e7d3-48d0-9462-488729aed122, 4cff2aca-5ce5-4028-88e6-d79b6449173a, 770c30d2-c2a8-4bb2-8056-6167297cddae)",
 "TaxonKey is Hydrolagus trolli"
 ]
}

 The dataset includes 58 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0054127-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5073/20200421-134049
title: Datenerhebung zu Staubabrieb und Wirkstoffgehalt von gebeiztem Getreidesaatgut 2019
title: Data collection concerning dust abrasion and active ingredient content in the dust of treated cereal seeds in 2019

description: Um eine aktuelle Übersicht zur Qualität von gebeiztem Getreidesaatgut im Markt in Deutschland hinsichtlich Abriebfestigkeit und Wirkstoffgehalt im Abrieb zu erstellen, wurde von den Verbänden der Saatgutbranche (BDP, IVA, GFS, BDS, DRV, Seed Guard, DBV) ein Getreideringtest initiiert. In der Beizsaison Sommer 2019 schrieben die Verbände 32 Beizanlagen an. Es wurde um die Einsendung von Weizen- und Gerstenproben mit den Mitteln Landor CT, Celest, Vibrance Trio, Rubin TT und EfA gebeten. 138 Proben von 23 Beizstellen fließen in die Auswertung mit ein. Gemessen wurden der Staubabrieb mit der Heubachmethode sowie der Wirkstoffgehalt im Staub mittels HPLC. Die Methode zur „Heubach a.i.-Werte“ Ermittlung beruht auf der Wirkstoff Extraktion aus dem anfallenden Staubabrieb der Heubach Messung. Hierbei wurden je nach Beizmittel die Fraktionen: Filter und Dichtring oder Filter, Dichtring und Filterkörper extrahiert. Die Extrakte wurden mittels HPLC-DAD auf ihren Wirkstoffgehalt der einzelnen Aktiv-Substanzen hin untersucht. Die Wirkstoffgehalte der einzelnen Aktiv-Substanzen und den einzelnen Fraktionen wurden summiert und über die Einwaage des Heubachtest auf die Zielgröße mg (Summe a.i.)/180 kg Saatgut bezogen. Um den Wirkstoff im Staub vollständig zu erfassen und Wirkstoffverschleppungen zu vermeiden, musste die Heubachmethode weiterentwickelt werden.
description: The seed industry in Germany aimed to create an overview on the current quality of treated cereal seeds regarding dust abrasion and active ingredient content in the dust. A ring test was initiated by the seed unions. 32 seed treatment facilities were contacted by the unions during the treating season in summer 2019. They were asked to send samples of wheat and barley treated with following products: Landor CT, Celest, Vibrance Trio, Rubin TT, EfA. For 138 samples from 23 seed treatment facilities dust abrasion was measured with the Heubach method. The active ingredient content in the dust (Heubach a.i.) was analysed with HPLC.
To analyse the active ingredient in the dust depending on the product the fractions: filter and rubber O-ring or filter, rubber O-ring and filter housing were extracted. The amount of the single active ingredients in the extracts was analysed with HPLC-DAD. The single active ingredients and the different fractions were summed up to mg (Sum a.i.)/180kg seeds via the initial weight in the Heubach test. To capture the entire active ingredient in the dust and to avoid carryover of active ingredients the Heubach method had to be further developed.
DOI: 10.5281/zenodo.17945784
title: Plot data for manuscript: "Overtone Rabi oscillation of optically polarized triplet electron spins and nuclear hyperpolarization in powder"

description: All data plots in the paper, together with example Python files to load and plot the data.
DOI: 10.5281/zenodo.17945785
title: Plot data for manuscript: "Overtone Rabi oscillation of optically polarized triplet electron spins and nuclear hyperpolarization in powder"

description: All data plots in the paper, together with example Python files to load and plot the data.
DOI: 10.5073/20190213-142439
title: Experimental raw data from the assessment of operator exposure during the filling process - Closed Transfer Systems (CTS)

description: The data includes raw spectrofluorometric measurements (Device: Kontron Instruments SFM25) and volume measurements from two experimental parts of the trial program (see related resource for detailed information). Subject of the program was the investigation of operator exposure during the filling process of a field crop sprayer with concentrated Plant Protection Products (PPP). In several experiments, the exposure of different dosimeters (Visor, Protective Gloves, Laboratory Gloves, Overalls and Underwear) was evaluated. The fluorescent tracer dye pyranin with a concentration of 5 g/l was used as a substitute for PPP.
DOI: 10.17605/osf.io/u2gyq
title: Supplementary materials for the paper "Ambiguous Landscapes: A framework for assessing robustness and uncertainties in archaeological point pattern analysis""

description: Landscape research in archaeology has greatly benefited from the increasing application of computational methods over the last decades. Spatial statistical methods such as point pattern analysis have been particularly revolutionary. Archaeologists have used point pattern analysis to explore spatial arrangements and relations between ‘points’ (e.g., the locations of artefacts or archaeological sites). However, the results obtained from these techniques can be greatly affected by the uncertainty coming from the fragmentary nature of archaeological data, their irregular distribution in the landscape, and the working methods used to study them. Furthermore, the quantification of uncertainty in spatial data coming from non-systematic surveys has never been fully addressed. To overcome this challenge, archaeologists have increasingly relied on applying advanced methods from statistics, data science, and geography. While the application of advanced methods from formal sciences will provide robustness to models based on uncertain datasets, as with uncertainty, robustness must be assessed in relation to the case study, the regional context, and the methods used. These issues are of great importance when the models from advanced methods are directly used to create narratives about past landscapes. In this paper, we gather previous research on uncertainty quantification in archaeology and formalise its best practices into a framework to assess robustness and uncertainty in spatial statistical models, particularly focusing on one commonly used in the discipline, i.e., the Pair Correlation Function. This framework allows us to understand better how incomplete data affect a model, quantify the model uncertainties, and assess the robustness of the results achieved with spatial point processes.
DOI: 10.15468/dl.u4erss
title: Occurrence Download

description: A dataset containing 167 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-118.45530 48.27274,-111.43545 48.27274,-111.43545 51.63887,-118.45530 51.63887,-118.45530 48.27274))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Taxidea taxus"
 ]
}

 The dataset includes 167 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0054128-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17895291
title: a global in-situ daily temperature dataset preferentially for 0000-2400 UTC from 1981-2024

description: Large amounts of sub-daily temperature data are shared globally through the Global Telecommunication System (GTS) in near-real time and through international data exchanges. However, converting these data into a global daily temperature dataset with a uniform definition—especially for daily maximum (Tmax) and minimum (Tmin) temperatures—has proven challenging due to the independent observation schedules across the world. To address this issue, we developed a new method that decomposes sub-daily Tmax and Tmin records from the Integrated Surface Database (ISD) into finer intervals, subsequently reaggregating them into daily Tmax and Tmin based on prospective dateline. This new method increased the global daily Tmax and Tmin counts by 64% and 45%, respectively, compared to the original method, which relied on either two consecutive Tmax/Tmin records over 12 hours or a single Tmax/Tmin record over 24 hours. The Global Land Base Dataset-First Estimate Daily Data (GLBD-FED) was established for the period from 1981 to 2024, following corrections for misrecorded Tmax and Tmin and quality control. GLBD-FED includes daily maximum (Tmax), average (Tave), and minimum temperature (Tmin) from approximately 17,000 global sites, with daily data amounts reaching about 10,000 entries per day in the current decade. When compared to the Global Summary of the Day (GSOD) dataset, GLBD-FED exhibits more temperate performance over the last 40 years, showing a slightly lower daily Tmax (around -0.3°C) and a higher daily Tmin (around +0.3°C), with a nearly identical daily Tave (approximately +0.1°C). GLBD-FED identifies records that could or almost could represent the highest or lowest temperature in the 24-hour period as daily Tmax or Tmin, while GSOD selects the highest or lowest records within the 24 hours. This variance in definitions, combined with different preferences for meteorological and airport report sources, contributes to these observed biases.
DOI: 10.5281/zenodo.17895292
title: a global in-situ daily temperature dataset preferentially for 0000-2400 UTC from 1981-2024

description: Large amounts of sub-daily temperature data are shared globally through the Global Telecommunication System (GTS) in near-real time and through international data exchanges. However, converting these data into a global daily temperature dataset with a uniform definition—especially for daily maximum (Tmax) and minimum (Tmin) temperatures—has proven challenging due to the independent observation schedules across the world. To address this issue, we developed a new method that decomposes sub-daily Tmax and Tmin records from the Integrated Surface Database (ISD) into finer intervals, subsequently reaggregating them into daily Tmax and Tmin based on prospective dateline. This new method increased the global daily Tmax and Tmin counts by 64% and 45%, respectively, compared to the original method, which relied on either two consecutive Tmax/Tmin records over 12 hours or a single Tmax/Tmin record over 24 hours. The Global Land Base Dataset-First Estimate Daily Data (GLBD-FED) was established for the period from 1981 to 2024, following corrections for misrecorded Tmax and Tmin and quality control. GLBD-FED includes daily maximum (Tmax), average (Tave), and minimum temperature (Tmin) from approximately 17,000 global sites, with daily data amounts reaching about 10,000 entries per day in the current decade. When compared to the Global Summary of the Day (GSOD) dataset, GLBD-FED exhibits more temperate performance over the last 40 years, showing a slightly lower daily Tmax (around -0.3°C) and a higher daily Tmin (around +0.3°C), with a nearly identical daily Tave (approximately +0.1°C). GLBD-FED identifies records that could or almost could represent the highest or lowest temperature in the 24-hour period as daily Tmax or Tmin, while GSOD selects the highest or lowest records within the 24 hours. This variance in definitions, combined with different preferences for meteorological and airport report sources, contributes to these observed biases.
DOI: 10.5073/20210318-133039
title: Data from: Deposition of dust with active substances in pesticides from treated seeds in adjacent fields during drilling: disentangling the effects of various factors using an 8-year field experiment

description: Residues of three neonicotinoid active substances (a.s.; clothianidin, imidacloprid, thiamethoxam) were measured by means of LC-MS/MS following experimental drilling of treated seeds. Samples include plant material and petri dishes with filter collectors from fields adjacent to the drilled field, samples being collected immediately after drilling. Measurements are expressed in µg a.s. /m² and, only for plant material, µg/kg (one separate dataset for each measurement unit plus metadata table). Data result from a series of 13 field trials investigating the deposition of dust with active substances in pesticides from treated seeds in adjacent fields during drilling. Trials took place in Lower Saxony, Germany, from 2010 to 2017 and cover a variety of seed treatment products (Cruiser®, Elado®, Gaucho® FS 350, Gaucho® FS 600, Poncho®, Poncho Pro®), drilled crops (barley, maize, rape, summer wheat, winter wheat), adjacent bee-attractive crops in flowering stage (mustard, rape) and seed treatment qualities (Heubach a.s. values ranging from 0.00067 to 0.09074 g a.s./ha). The work was partly funded by the Federal Ministry of Food and Agriculture (BMEL) as part of the German Diabrotica research program.
description: OpenAgrar