cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5255/ukda-sn-855600
title: The Business Response to COVID-19: the CEP-CBI Survey on Technology Adoption, 2020-2021

description: This project undertook two new surveys of small and medium sized enterprises (SMEs) across the UK to shed light on (i) the extent to which, in response to the COVID-19 crisis, SMEs have been adopting technologies or organisational practices that we might consider to be “productivity enhancing”; (ii) whether such innovation persists into the longer run; (iii) its impact on firm survival, performance, employment and worker productivity; and (iv) how government policy might promote the persistence of productivity enhancing changes into the recovery phase. This project will build the evidence base on how to best support businesses, helping to build resilience while also understanding the resulting impacts on employment and firm performance. We collaborated with the Confederation of Business Industry (CBI), building on their quarterly surveys of SMEs to include additional questions on technology adoption (and process/product innovation more generally), enablers and barriers – crucially including business views on potential policy levers. The first deliverable was a report summarising the data collected in July 2020, including analysis of heterogeneity by sector, region and firm type. Approximately 12 months after the initial survey we re-surveyed firms to understand any persistence in technological innovation beyond the immediate crisis. We also plan to track company performance via secondary datasets and changes detectible on their websites (e.g. new online offers). The second deliverable was a report summarising the findings of the second survey. We present new data from two surveys of 375 and 425 UK businesses conducted in July 2020 and July 2021 in partnership with the Confederation of British Industry (CBI), which seeks to understand the way in which firms have innovated in response to the pandemic. We find that the pandemic has caused enormous business disruption, which has prompted many firms to focus on innovation.
DOI: 10.34740/kaggle/dsv/3571245
title: Percentile  TMNIST for electric meters
DOI: 10.13135/ela-447
title: Honours for Asandros of Macedon
DOI: 10.6084/m9.figshare.19709539.v1
title: Tabela_Estudos_EscleroseMútlipla_Revisão

description: Summary from literature review about multiple sclerosis and exercise training.
DOI: 10.5281/zenodo.6520398
title: Hypoplectrus indigo SPAdes preassembly

description: .
DOI: 10.5281/zenodo.6520397
title: Hypoplectrus indigo SPAdes preassembly

description: .
DOI: 10.6084/m9.figshare.19709539.v2
title: Tabela_Estudos_EscleroseMútlipla_Revisão

description: Summary from literature review about multiple sclerosis and exercise training.
DOI: 10.6084/m9.figshare.13129538.v4
title: Arctic COSMO-CLM hindcast 1993

description: COSMO-CLM Russian Arctic climate dataset
DOI: 10.6084/m9.figshare.19709539.v3
title: Tabela_Estudos_EscleroseMútlipla_Revisão

description: Summary from literature review about multiple sclerosis and exercise training.
DOI: 10.48370/ofd/r4zof9
title: Sistotrema brinkmannii (Bres.) J. Erikss., 1684

description: Fungarium Macromycetes
DOI: 10.5281/zenodo.6500003
title: An Algebraic Architecture Model to Select PUSH/PULL Data Transfer

description: The supplementary material for ASE 2022 Submission #21. <strong>Detailed Proofs</strong> The detailed proofs of Theorems 1, 2, 3 and other lemmas are contained in the following .PDF file. File Name Description ASE2022_proofs.pdf The detailed proofs of the correstness <strong>Graph-based Refactoring Tool</strong> The following .jar file is the current implementation of the graph-based tool for push/pull refactoring. File Name Description GraphBasedRefactor.jar graph-based refactoring tool It can work with Java 13 or later. The tool can be used in the following steps: Launch the tool from the command prompt.<br> <code>java -jar GraphBasedRefactor.jar</code> Open a model file. (File -&gt; Open) Select one data transfer method for each edge. (A pop-up menu is displayed by double clicking each edge.) Generate a plain Java prototype or JAX-RS prototype. (Generate -&gt; Generate Plain Java Prototype, or Generate -&gt; Generate JAX-RS Prototype) <strong>Model Files</strong> As case studies, we designed the architectures of the WOS (Weather Observation System), POS (Point Of Sales) system, twitter-like web service and jumping game. Their model files are compressed in the following .zip file. File Name Description models.zip Compressed model files <strong>Generated Prototypes</strong> We generated the prototypes from the above model files. The source files are compressed in the following .zip files. File Name Description prototypes.zip Compressed prototypes <strong>Performance Evaluations</strong> We measured the computation time of each API call on the JAX-RS prototypes of WOS, JAX-RS prototypes of twitter-like web service, and Java prototypes and the completed implementations of POS. The results are summarized in the following Excel file. File Name Description evaluations.xlsx Performance evaluations of API calls <strong>Completed Implementations</strong> We had completed the implementaions of the jumping game and POS system in Java. The source files and the executable .jar files are compressed in the following .zip files. File Name Description JumpingGame.zip A completed push-first implementation and the executable .jar file of the jumping game in Java PosSystem.zip A completed push-first implementation and the executable .jar file of the POS system in Java The .jar files can work with Java 13 or later. They can be launched by typing the following commands on the command prompt. <code>java -jar JumpingGame.jar</code> <code>java -jar PosSystem.jar</code>
DOI: 10.17632/spzgprdjgj.2
title: Brazilian disaster datasets and real-world instances for optimization and machine learning

description: This dataset was consolidated and summarized from a series of open reports obtained in different websites of the government and other institutions. The data presented here were partially used to build real-world instances for the optimization problem of location-allocation of relief-aid items under socioeconomic concerns, in the context of Humanitarian Logistics.   Particularly,  the given dataset has been extended beyond disasters to include other information such as costs, distances and socioeconomic indicators.
DOI: 10.17632/spzgprdjgj.4
title: Brazilian disaster datasets and real-world instances for optimization and machine learning

description: This dataset was consolidated and summarized from a series of open reports obtained in different websites of the government and other institutions. The data presented here were partially used to build real-world instances for the optimization problem of location-allocation of relief-aid items under socioeconomic concerns, in the context of Humanitarian Logistics.   Particularly,  the given dataset has been extended beyond disasters to include other information such as costs, distances and socioeconomic indicators.
DOI: 10.48370/ofd/s69ege/qwjjgv
title: MRIPAS_coll_135933_NeomysAnomalus_1980_scan.jpg

description: :unav
DOI: 10.48370/ofd/s69ege/kmpgbf
title: MRIPAS_coll_135933_NeomysAnomalus_1980_F_scan_ct.swf

description: :unav
DOI: 10.48370/ofd/s69ege
title: Neomys anomalus - 135933, Zoological collection of the Mammal Research Institute, PAS

description: Neomys anomalus (Mediterranean water shrew) from Zoological collection of the Mammal Research Institute PAS. Collected 1980-05-03, in: Białowieża Forest, Poland. Material type: head
DOI: 10.48370/ofd/umuewy
title: Sistotrema brinkmannii (Bres.) J. Erikss., 2127

description: Fungarium Macromycetes
DOI: 10.48370/ofd/lgx1lm/vl286i
title: MRIPAS_coll_138931_NeomysAnomalus_1981_scan.jpg

description: :unav
DOI: 10.48370/ofd/lgx1lm/z7cwp3
title: MRIPAS_coll_138931_NeomysAnomalus_1981_scan_ct.swf

description: :unav
DOI: 10.48370/ofd/lgx1lm
title: Neomys anomalus - 138931, Zoological collection of the Mammal Research Institute, PAS

description: Neomys anomalus (Mediterranean water shrew) from Zoological collection of the Mammal Research Institute PAS. Collected 1981-07-20, in: Białowieża, Poland. Material type: head
DOI: 10.48370/ofd/f3esn9/cpwgbx
title: MRIPAS_coll_141118_NeomysAnomalus_1982_scan.jpg

description: :unav
DOI: 10.48370/ofd/f3esn9/xld5e7
title: MRIPAS_coll_141118_NeomysAnomalus_1982_scan_ct.swf

description: :unav
DOI: 10.48370/ofd/f3esn9
title: Neomys anomalus - 141118, Zoological collection of the Mammal Research Institute, PAS

description: Neomys anomalus (Mediterranean water shrew) from Zoological collection of the Mammal Research Institute PAS. Collected 1982-01-12, in: Białowieża Forest, Poland. Material type: head
DOI: 10.5281/zenodo.6520484
title: Data from 89 fungicide trials on apple scab across Europe 2008-2018

description: The data set comprises records of disease incidence and yield from untreated and treated plots. <strong>Assessments</strong><br> The disease infection was expressed as the intensity of attack (=severity) and/or the frequency of attack. Two assessment methods were used: 1. Visual assessment:<br> • P%INF: intensity of attack was obtained as a visual estimation of the percentage of each plant part (leaves or fruits) affected by disease<br> • P%FREQ: frequency of attack was represented by the number of infected leaves or fruits. The frequency is expressed as a percentage of the number sampled. <br> 2. Class assessment<br> The level of the attack (intensity and frequency) was evaluated and calculated by classing plants into different severity categories ranging from no disease to severe attack.<br> • BEFHKT: frequency of disease attack expressed as a percentage, considering 4 damage classes<br> • BEFWER: intensity of attack expressed as a percentage, considering 4 damage classes. BEFHKT = 100*(cl2 + cl3 + cl4)/(cl1 + cl2 + cl3 + cl4)<br> BEFWER = 100*(cl2 + 2*cl3 + 3*cl4)/(3*N) (the Townsend-Heuberger intensity of attck) <strong>Table of measures</strong><br> Measure Description<br> P%FREQ Estimated frequency of attack %<br> P%INF Estimated severy of attack %<br> %ANTK1 Class 1 (%)<br> %ANTK2 Class 2 (%)<br> %ANTK3 Class 3 (%)<br> %ANTK4 Class 4 (%)<br> BEFHKT Frequency of attack<br> BEFWER Index of attack<br> INFECT Infection (F); Infestation (F)<br> KR%ABB Diseased (%)<br> WIRKGR Percent of untreated <strong>Data format and source</strong><br> The data is provided as both a tab-separated text file and a binary R data file. The R files provides code to read and plot the data. The plot produced is also provided as a PNG file. The field trials were conducted by BASF, Germany.
description: Supported by EU H2020-SFS-2018-2020 (grant agreement 817617).
DOI: 10.5281/zenodo.6353128
title: Data from 89 fungicide trials on apple scab across Europe 2008-2018

description: The data set comprises records of disease incidence and yield from untreated and treated plots. <strong>Assessments</strong><br> The disease infection was expressed as the intensity of attack (=severity) and/or the frequency of attack. Two assessment methods were used: 1. Visual assessment:<br> • P%INF: intensity of attack was obtained as a visual estimation of the percentage of each plant part (leaves or fruits) affected by disease<br> • P%FREQ: frequency of attack was represented by the number of infected leaves or fruits. The frequency is expressed as a percentage of the number sampled. <br> 2. Class assessment<br> The level of the attack (intensity and frequency) was evaluated and calculated by classing plants into different severity categories ranging from no disease to severe attack.<br> • BEFHKT: frequency of disease attack expressed as a percentage, considering 4 damage classes<br> • BEFWER: intensity of attack expressed as a percentage, considering 4 damage classes. BEFHKT = 100*(cl2 + cl3 + cl4)/(cl1 + cl2 + cl3 + cl4)<br> BEFWER = 100*(cl2 + 2*cl3 + 3*cl4)/(3*N) (the Townsend-Heuberger intensity of attck) <strong>Table of measures</strong><br> Measure Description<br> P%FREQ Estimated frequency of attack %<br> P%INF Estimated severy of attack %<br> %ANTK1 Class 1 (%)<br> %ANTK2 Class 2 (%)<br> %ANTK3 Class 3 (%)<br> %ANTK4 Class 4 (%)<br> BEFHKT Frequency of attack<br> BEFWER Index of attack<br> INFECT Infection (F); Infestation (F)<br> KR%ABB Diseased (%)<br> WIRKGR Percent of untreated <strong>Data format and source</strong><br> The data is provided as both a tab-separated text file and a binary R data file. The R files provides code to read and plot the data. The plot produced is also provided as a PNG file. The field trials were conducted by BASF, Germany.
description: Supported by EU H2020-SFS-2018-2020 (grant agreement 817617).
DOI: 10.48370/ofd/gustt5/cafyhu
title: MRIPAS_coll_141119_NeomysAnomalus_1982_scan.jpg

description: :unav
DOI: 10.48370/ofd/gustt5/l447bt
title: MRIPAS_coll_141119_NeomysAnomalus_1982_F_scan_ct.swf

description: :unav
DOI: 10.48370/ofd/gustt5
title: Neomys anomalus - 141119, Zoological collection of the Mammal Research Institute, PAS

description: Neomys anomalus (Mediterranean water shrew) from Zoological collection of the Mammal Research Institute PAS. Collected 1982-01-12, in: Białowieża National Park, Poland. Material type: head
DOI: 10.48370/ofd/pqutv9/2c1c21
title: MRIPAS_coll_141120_NeomysAnomalus_1982_scan.jpg

description: :unav
DOI: 10.48370/ofd/pqutv9/ttjp4e
title: MRIPAS_coll_141120_NeomysAnomalus_1982_scan_ct.swf

description: :unav
DOI: 10.48370/ofd/pqutv9
title: Neomys anomalus - 141120, Zoological collection of the Mammal Research Institute, PAS

description: Neomys anomalus (Mediterranean water shrew) from Zoological collection of the Mammal Research Institute PAS. Collected 1982-01-12, in: Białowieża Forest, Poland. Material type: head
DOI: 10.48370/ofd/vzrwxw/ab0i89
title: MRIPAS_coll_159053_NeomysAnomalus_1990_scan.jpg

description: :unav
DOI: 10.48370/ofd/vzrwxw/vokteh
title: MRIPAS_coll_159053_NeomysAnomalus_1990_scan_ct.swf

description: :unav
DOI: 10.48370/ofd/vzrwxw
title: Neomys anomalus - 159053, Zoological collection of the Mammal Research Institute, PAS

description: Neomys anomalus (Mediterranean water shrew) from Zoological collection of the Mammal Research Institute PAS. Collected 1990-05-11, in: Białowieża National Park, Poland. Material type: head
DOI: 10.17632/fjwmgb6xp6.1
title: LINF_270008000

description: mt-SAF32
Leishmania infantum (strain JPCM5)
DOI: 10.17632/b9dk9sx8rh.1
title: LINF_270007400

description: mitoribosomal protein mL89
Leishmania infantum (strain JPCM5)
DOI: 10.17632/jgrzypnhp6.1
title: LINF_270007200

description: mitoribosomal protein mL89
Leishmania infantum (strain JPCM5)
DOI: 10.17632/bybgrz36fy.1
title: LINF_270007000

description: Vacuolar iron transporter 1 | VIT1
Leishmania infantum (strain JPCM5)
DOI: 10.5281/zenodo.5032450
title: 18S V4 rDNA sequences organized at the OTU level for the SOMLIT-Astan time-series (2009-2016)

description: The present file includes metadata for each 18S V4<strong> rDNA OTU</strong> from the SOMLIT-Astan time series (2009-2016) including the following fields: <strong>amplicon</strong> = identifier of the representative (most abundant) sequence; <strong>total</strong> = total number of reads; <strong>spread </strong>= number of samples in which the OTU has been found; <strong>cloud </strong>= number of unique sequences constituting the OTU; <strong>sequence</strong> = nucleic acid sequence of the representative sequence; <strong>length</strong> = length of the representative sequence; <strong>quality </strong>= minimum expected error observed for the representative sequence, divided by sequence length; <strong> taxonomy</strong> = taxonomic path assigned to the representative sequence; <strong>identity</strong> = percentage of identity of the representative sequence to the closest reference sequence from PR2; <strong>references</strong> = best hit reference sequence(s) ; <strong>RA090107_02:RA161222_3 </strong>= 375 samples from January 2009 to December 2016, the first two number are the year followed by the month and the day (sampling twice a month during 8 years). Values after “_” indicate the size of the filter used for the filtration: 02 for 0.2 µm and 3 for 3 µm. Generation of 18S V4 rDNA Operational Taxonomic Units (OTUs) from the raw sequencing reads and their assembly into a OTUtable was obtained according to the following pipeline (https://doi.org/10.5281/zenodo.5791089). The V4 region was extracted from the 18S rDNA reference sequences from PR2 v4.12 (Guillou et al., 2013) with Cutadapt. The representative sequences of each OTU were compared to these V4 reference sequences by pairwise global alignment (usearch_global VSEARCH’s command). Each OTU inherits the taxonomy of the best hit or the last common ancestor in case of ties. OTUs with a score below 80% similarity were considered as unassigned (Mahé et al., 2017; Stoeck et al., 2010). The final dataset (filtered OTU table) contains 375 samples (sampled twice per month from 2009 to 2016) with a total of ~30 million sequence reads and 21,418 OTUs.
description: {"references": ["Mah\u00e9, F., Vargas, C. De, Bass, D., Czech, L., Stamatakis, A., Lara, E., \u2026 Dunthorn, M. (2017). Parasites dominate hyperdiverse soil protist communities in Neotropical rainforests. Nature Publishing Group, 1(March), 1\u20138. https://doi.org/10.1038/s41559-017-0091", "Stoeck, T., Bass, D., Nebel, M., Christen, R., Jones, M. D. M., Breiner, H. W., & Richards, T. A. (2010). Multiple marker parallel tag environmental DNA sequencing reveals a highly complex eukaryotic community in marine anoxic water. Molecular Ecology, 19(SUPPL. 1), 21\u201331. https://doi.org/10.1111/j.1365-294X.2009.04480.x"]}
DOI: 10.5281/zenodo.5033180
title: Morphological phytoplankton counts for the SOMLIT-Astan time-series (2007-2017)

description: The present text file includes morphologic microscopic counts for SOMLIT-Astan station (Western English Channel). Samples (250 mL) of natural seawater intended for the acquisition of microscopic counts were preserved with acid Lugol’s iodine (Sournia, 1978, Guilloux et al. 2013), stored in the dark, and further processed between 15 days and up to 1 year after sampling. The morphological taxa contingency table was carefully examined to detect inconsistencies (e.g., abrupt changes in cell counts over the time series), and taxa for which identification was uncertain were grouped into broader taxonomic categories. For example, <em>Fragilaria</em> and <em>Brockmaniella</em> or <em>Cylindrotheca closterium</em> and <em>Nitzschia longissima</em> which are difficult to distinguished between each other, were considered in association in the same group of microscopic counts. The final morphological dataset consisted of counts of 146 taxonomical entities (taxa larger than 10µm in size) across 185 dates from 2007 to 2017. Raw microscopic counts were regularly stored in a local MS-Access database and uploaded in the RESOMAR PELAGOS (http://abims.sb-roscoff.fr/pelagos/) national database.
DOI: 10.5281/zenodo.5033179
title: Morphological phytoplankton counts for the SOMLIT-Astan time-series (2007-2017)

description: The present text file includes morphologic microscopic counts for SOMLIT-Astan station (Western English Channel). Samples (250 mL) of natural seawater intended for the acquisition of microscopic counts were preserved with acid Lugol’s iodine (Sournia, 1978, Guilloux et al. 2013), stored in the dark, and further processed between 15 days and up to 1 year after sampling. The morphological taxa contingency table was carefully examined to detect inconsistencies (e.g., abrupt changes in cell counts over the time series), and taxa for which identification was uncertain were grouped into broader taxonomic categories. For example, <em>Fragilaria</em> and <em>Brockmaniella</em> or <em>Cylindrotheca closterium</em> and <em>Nitzschia longissima</em> which are difficult to distinguished between each other, were considered in association in the same group of microscopic counts. The final morphological dataset consisted of counts of 146 taxonomical entities (taxa larger than 10µm in size) across 185 dates from 2007 to 2017. Raw microscopic counts were regularly stored in a local MS-Access database and uploaded in the RESOMAR PELAGOS (http://abims.sb-roscoff.fr/pelagos/) national database.
DOI: 10.17632/tmj7kv8btv.1
title: Precipitation and temperature series at EAP Zamorano Data

description: This is the dataset for the paper:

Precipitation and temperature series at EAP Zamorano: trends, projections and  relationship with climate change
Hernández Castro, C. M., Henríquez-Dole, L. E. & Molina Rodríguez, J. D. (2022). Unpublished results.
DOI: 10.6084/m9.figshare.19713808
title: Dataset_Sexual aggression in Belgium_PLOS.csv

description: This dataset contains all data relevant to replicate the results reported in the article “Characteristics and associated factors of self-reported sexual aggression in the Belgian population aged 16-69” by Evelyn Schapansky, Ines Keygnaert and Christophe Vandeviver
DOI: 10.6084/m9.figshare.19713808.v1
title: Dataset_Sexual aggression in Belgium_PLOS.csv

description: This dataset contains all data relevant to replicate the results reported in the article “Characteristics and associated factors of self-reported sexual aggression in the Belgian population aged 16-69” by Evelyn Schapansky, Ines Keygnaert and Christophe Vandeviver
DOI: 10.48370/ofd/0vsihd/lacota
title: MRIPAS_coll_5797_PitymysSubterraneus_1954_scan.jpg

description: :unav
DOI: 10.48370/ofd/0vsihd/whruoj
title: MRIPAS_coll_5797_PitymysSubterraneus_1954_F_scan_ct.swf

description: :unav
DOI: 10.48370/ofd/0vsihd
title: Microtus subterraneus - 5797, Zoological collection of the Mammal Research Institute, PAS

description: Microtus subterraneus (European pine vole) from Zoological collection of the Mammal Research Institute, PAS. Collected 1954-08-03, in: Białowieża National Park, Poland. Material type: head
DOI: 10.48370/ofd/iikh5h/zb8abr
title: MRIPAS_coll_5799_PitymysSubterraneus_1954_scan.jpg

description: :unav
DOI: 10.48370/ofd/iikh5h/g7xigq
title: MRIPAS_coll_5799_PitymysSubterraneus_1954_F_scan_ct.swf

description: :unav
DOI: 10.48370/ofd/iikh5h
title: Microtus subterraneus - 5799, Zoological collection of the Mammal Research Institute, PAS

description: Microtus subterraneus (European pine vole) from Zoological collection of the Mammal Research Institute, PAS. Collected 1954-08-03, in: Białowieża National Park, Poland. Material type: head
DOI: 10.6084/m9.figshare.19709539
title: Tabela_Estudos_EscleroseMútlipla_Revisão

description: Summary from literature review about multiple sclerosis and exercise training.
DOI: 10.6084/m9.figshare.19709539.v5
title: Tabela_Estudos_EscleroseMútlipla_Revisão

description: Summary from literature review about multiple sclerosis and exercise training.
DOI: 10.6084/m9.figshare.19709539.v4
title: Tabela_Estudos_EscleroseMútlipla_Revisão

description: Summary from literature review about multiple sclerosis and exercise training.
DOI: 10.48370/ofd/avk1g9/wxg3m2
title: MRIPAS_coll_149618_MustelaVison_1984_scan.jpg

description: :unav
DOI: 10.48370/ofd/avk1g9/p8uic6
title: MRIPAS_coll_149618_MustelaVison_1984_M_scan_ct.swf

description: :unav
DOI: 10.48370/ofd/avk1g9
title: Mustela vison - 149618, Zoological collection of the Mammal Research Institute, PAS

description: Mustela vison (American mink) from Zoological collection of the Mammal Research Institute PAS. Collected 1984-03-15, in: between Narewka village and Gruszki village, on the Narewka River, Browsk Forest District, Poland. Material type: head
DOI: 10.48370/ofd/agilpp/wajvus
title: MRIPAS_coll_1278_SusScrofa_1977_F_skull_scan3D.stl

description: skull
DOI: 10.48370/ofd/agilpp/43oqgd
title: MRIPAS_coll_1278_SusScrofa_1977_F_jaw_scan3D.stl

description: jaw
DOI: 10.48370/ofd/agilpp
title: Sus scrofa -1278, Zoological collection of the Mammal Research Institute, PAS

description: Sus scrofa (Wild boar) from Zoological collection of the Mammal Research Institute, PAS. Collected 1977-03-11. in: Białowieża Forest, Poland. Material type: skull, jaw