cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.7925/drs1.duchas_5238894
title: Weather Signs

description: Story collected by Eileen Boylan, a student at Whitecross, Julianstown school (Whitecross, Co. Meath) (no informant identified).
description: Collected as part of the Schools' Folklore scheme, 1937-1938, under the supervision of teacher Criostóir Breathnach.
description: Supported by funding from the Department of Arts, Heritage and the Gaeltacht (Ireland), University College Dublin, and the National Folklore Foundation (Fondúireacht Bhéaloideas Éireann), 2014-2016.
DOI: 10.7925/drs1.duchas_4778488
title: Riddles

description: Story collected by Jim Lavin, a student at St Patrick's, Ballyfarnon school (Ballyfarnon, Co. Roscommon) (no informant identified).
description: Collected as part of the Schools' Folklore scheme, 1937-1938, under the supervision of teacher Mark -- Feeny, Thos. Hanly.
description: Supported by funding from the Department of Arts, Heritage and the Gaeltacht (Ireland), University College Dublin, and the National Folklore Foundation (Fondúireacht Bhéaloideas Éireann), 2014-2016.
DOI: 10.7925/drs1.duchas_5238897
title: Weather Signs

description: Story collected by Peggy Landy, a student at Whitecross, Julianstown school (Whitecross, Co. Meath) (no informant identified).
description: Collected as part of the Schools' Folklore scheme, 1937-1938, under the supervision of teacher Criostóir Breathnach.
description: Supported by funding from the Department of Arts, Heritage and the Gaeltacht (Ireland), University College Dublin, and the National Folklore Foundation (Fondúireacht Bhéaloideas Éireann), 2014-2016.
DOI: 10.7925/drs1.duchas_4778499
title: Signs of the Weather

description: Story collected by Kathleen Mc Donaugh, a student at St Patrick's, Ballyfarnon school (Ballyfarnon, Co. Roscommon) (no informant identified).
description: Collected as part of the Schools' Folklore scheme, 1937-1938, under the supervision of teacher Mark -- Feeny, Thos. Hanly.
description: Supported by funding from the Department of Arts, Heritage and the Gaeltacht (Ireland), University College Dublin, and the National Folklore Foundation (Fondúireacht Bhéaloideas Éireann), 2014-2016.
DOI: 10.7925/drs1.duchas_5238899
title: Weather Signs

description: Story collected by Eileen Boylan, a student at Whitecross, Julianstown school (Whitecross, Co. Meath) (no informant identified).
description: Collected as part of the Schools' Folklore scheme, 1937-1938, under the supervision of teacher Criostóir Breathnach.
description: Supported by funding from the Department of Arts, Heritage and the Gaeltacht (Ireland), University College Dublin, and the National Folklore Foundation (Fondúireacht Bhéaloideas Éireann), 2014-2016.
DOI: 10.7925/drs1.duchas_5238903
title: Where a Ghost is Settled

description: Story collected by Eileen Boylan, a student at Whitecross, Julianstown school (Whitecross, Co. Meath) from informant an unidentified informant.
description: Collected as part of the Schools' Folklore scheme, 1937-1938, under the supervision of teacher Criostóir Breathnach.
description: Supported by funding from the Department of Arts, Heritage and the Gaeltacht (Ireland), University College Dublin, and the National Folklore Foundation (Fondúireacht Bhéaloideas Éireann), 2014-2016.
DOI: 10.7925/drs1.duchas_4778505
title: Signs of the Weather

description: Story collected by May Connor, a student at St Patrick's, Ballyfarnon school (Ballyfarnon, Co. Roscommon) (no informant identified).
description: Collected as part of the Schools' Folklore scheme, 1937-1938, under the supervision of teacher Mark -- Feeny, Thos. Hanly.
description: Supported by funding from the Department of Arts, Heritage and the Gaeltacht (Ireland), University College Dublin, and the National Folklore Foundation (Fondúireacht Bhéaloideas Éireann), 2014-2016.
DOI: 10.15468/dl.pr6q8p
title: Occurrence Download

description: A dataset containing 88352 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Colombia",
 "OccurrenceStatus is Present",
 "TaxonKey is Colibri coruscans (Gould, 1846)"
 ]
}

 The dataset includes 88352 records from 203 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021160-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.tb6z6p
title: Occurrence Download

description: A dataset containing 103 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Rubus radicans Cav."
 ]
}

 The dataset includes 103 records from 16 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021167-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.8102266
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Hilja Lippmaa, http://www.wikidata.org/entity/Q101072594. Claims or attributions were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
description: http://www.wikidata.org/entity/Q101072594
DOI: 10.5281/zenodo.8102265
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Hilja Lippmaa, http://www.wikidata.org/entity/Q101072594. Claims or attributions were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
description: http://www.wikidata.org/entity/Q101072594
DOI: 10.5281/zenodo.8102272
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Evelyn M. Lobley, http://www.wikidata.org/entity/Q111692599. Claims or attributions were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
description: http://www.wikidata.org/entity/Q111692599
DOI: 10.5281/zenodo.8102271
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Evelyn M. Lobley, http://www.wikidata.org/entity/Q111692599. Claims or attributions were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
description: http://www.wikidata.org/entity/Q111692599
DOI: 10.5281/zenodo.8102274
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Kate French G. Logue, http://www.wikidata.org/entity/Q66763564. Claims or attributions were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
description: http://www.wikidata.org/entity/Q66763564
DOI: 10.5281/zenodo.8102273
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Kate French G. Logue, http://www.wikidata.org/entity/Q66763564. Claims or attributions were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
description: http://www.wikidata.org/entity/Q66763564
DOI: 10.5281/zenodo.8102280
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Paul Günther Lorentz, http://www.wikidata.org/entity/Q76111. Claims or attributions were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
description: http://www.wikidata.org/entity/Q76111
DOI: 10.5281/zenodo.8102302
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Thomas Pennington Lucas, http://www.wikidata.org/entity/Q3525470. Claims or attributions were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
description: http://www.wikidata.org/entity/Q3525470
DOI: 10.5281/zenodo.8102301
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Thomas Pennington Lucas, http://www.wikidata.org/entity/Q3525470. Claims or attributions were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
description: http://www.wikidata.org/entity/Q3525470
DOI: 10.5281/zenodo.8102306
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by William Henry Luckmann, http://www.wikidata.org/entity/Q107453845. Claims or attributions were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
description: http://www.wikidata.org/entity/Q107453845
DOI: 10.5281/zenodo.8102305
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by William Henry Luckmann, http://www.wikidata.org/entity/Q107453845. Claims or attributions were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
description: http://www.wikidata.org/entity/Q107453845
DOI: 10.5281/zenodo.8102310
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Thomas Francis Lucy, http://www.wikidata.org/entity/Q113001343. Claims or attributions were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
description: http://www.wikidata.org/entity/Q113001343
DOI: 10.5281/zenodo.8102318
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Cyrus Longworth Lundell, http://www.wikidata.org/entity/Q3009490. Claims or attributions were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
description: http://www.wikidata.org/entity/Q3009490
DOI: 10.17909/n1hq-4p52
title: ReveaLLAGN 0
DOI: 10.5281/zenodo.8074454
title: Data from: Direct PCR meets high-throughput sequencing - metabarcoding of chironomid communities without DNA extraction

description: Abstract Metabarcoding is a valuable tool for investigating insect community compositions. However, high-throughput applications, such as for biomonitoring, require cost-effective and user-friendly procedures. To investigate if the time-consuming and labour-intensive DNA isolation step can be omitted in metabarcoding, we studied the difference in detection rates and individual read abundance using standard DNA isolation versus direct PCR protocols. Metabarcoding with and without DNA isolation was performed on artificially created communities with known composition as well as on natural communities both of the dipteran family Chironomidae to compare detection rates, individual read abundances and presence-absence community composition. The data sets include read abundances of all artificial and natural community samples. Compositions of the samples per data set are described in the respective README files. ASVs/OTUs and their respective DNA sequences are given. R Scripts for bioinformatic processing (dada2 for ASVs, JAMP for OTUs) are provided. Methods Chironomidae were retrieved from artificial ponds of the Eußerthal Ecosystem Research Station (EERES) near Landau, Germany, in 2019 and 2020. Adult specimens were collected from passive emergence traps. Chironomid samples were stored in 70% ethanol and later dried at 60°C. Samples were then finely ground using a bead mill. PCR-grade water was added to each tissue sample and thoroughly vortexed. The tissue-water mixes were frozen at -20°C until further analysis. Artificial communities were created by pipetting tissue-water mixes of individual chironomids. Natural communities from eight ponds and five consecutive sampling dates were selected to assess the applicability of the dPCR approach compared to standard metabarcoding protocols on natural chironomid communities. Four of the artificial ponds were treated with the mosquito control agent <em>Bacillus thuringiensis israelensis</em> (Bti). Tissue-water mixes of artificial and natural communities were both directly applied to PCR and used for DNA isolation. Illumina sequencing was performed and raw data were bioinformatically prepared. For more details see "Direct PCR meets high-throughput sequencing - metabarcoding of chironomid communities without DNA extraction" (Röder & Schwenk 2023). Raw sequences are available through GenBank SRA archive (BioProject accession number PRJNA989176).
DOI: 10.5281/zenodo.8074453
title: Data from: Direct PCR meets high-throughput sequencing - metabarcoding of chironomid communities without DNA extraction

description: Abstract Metabarcoding is a valuable tool for investigating insect community compositions. However, high-throughput applications, such as for biomonitoring, require cost-effective and user-friendly procedures. To investigate if the time-consuming and labour-intensive DNA isolation step can be omitted in metabarcoding, we studied the difference in detection rates and individual read abundance using standard DNA isolation versus direct PCR protocols. Metabarcoding with and without DNA isolation was performed on artificially created communities with known composition as well as on natural communities both of the dipteran family Chironomidae to compare detection rates, individual read abundances and presence-absence community composition. The data sets include read abundances of all artificial and natural community samples. Compositions of the samples per data set are described in the respective README files. ASVs/OTUs and their respective DNA sequences are given. R Scripts for bioinformatic processing (dada2 for ASVs, JAMP for OTUs) are provided. Methods Chironomidae were retrieved from artificial ponds of the Eußerthal Ecosystem Research Station (EERES) near Landau, Germany, in 2019 and 2020. Adult specimens were collected from passive emergence traps. Chironomid samples were stored in 70% ethanol and later dried at 60°C. Samples were then finely ground using a bead mill. PCR-grade water was added to each tissue sample and thoroughly vortexed. The tissue-water mixes were frozen at -20°C until further analysis. Artificial communities were created by pipetting tissue-water mixes of individual chironomids. Natural communities from eight ponds and five consecutive sampling dates were selected to assess the applicability of the dPCR approach compared to standard metabarcoding protocols on natural chironomid communities. Four of the artificial ponds were treated with the mosquito control agent <em>Bacillus thuringiensis israelensis</em> (Bti). Tissue-water mixes of artificial and natural communities were both directly applied to PCR and used for DNA isolation. Illumina sequencing was performed and raw data were bioinformatically prepared. For more details see "Direct PCR meets high-throughput sequencing - metabarcoding of chironomid communities without DNA extraction" (Röder & Schwenk 2023). Raw sequences are available through GenBank SRA archive (BioProject accession number PRJNA989176).
DOI: 10.5281/zenodo.8102375
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Donald Henry Colless, http://www.wikidata.org/entity/Q16019339. Claims or attributions were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
description: http://www.wikidata.org/entity/Q16019339
DOI: 10.5281/zenodo.8102374
title: Natural history specimens collected and/or identified and deposited.

description: Natural history specimen data collected and/or identified by Donald Henry Colless, http://www.wikidata.org/entity/Q16019339. Claims or attributions were made on Bionomia, https://bionomia.net using specimen data from the Global Biodiversity Information Facility, https://gbif.org.
description: http://www.wikidata.org/entity/Q16019339
DOI: 10.25582/data.2022-06.2546533/2119301
title: Data for EMSL Project 51287 from June 2022
DOI: 10.25582/data.2022-06.2545427/2119302
title: Data for EMSL Project 51287 from June 2022
DOI: 10.25582/data.2022-06.2536072/2119303
title: Data for EMSL Project 51287 from June 2022
DOI: 10.25582/data.2022-07.2548539/2119304
title: Data for EMSL Project 51287 from July 2022
DOI: 10.25582/data.2022-06.2546388/2119305
title: Data for EMSL Project 51287 from June 2022
DOI: 10.25582/data.2022-06.2546492/2119306
title: Data for EMSL Project 51287 from June 2022
DOI: 10.25582/data.2022-06.2542134/2119307
title: Data for EMSL Project 51287 from June 2022
DOI: 10.25582/data.2022-06.2536966/2119308
title: Data for EMSL Project 51287 from June 2022
DOI: 10.25582/data.2022-06.2544445/2119309
title: Data for EMSL Project 51287 from June 2022
DOI: 10.25582/data.2022-06.2545100/2119310
title: Data for EMSL Project 51287 from June 2022
DOI: 10.25582/data.2022-06.2546684/2119311
title: Data for EMSL Project 51287 from June 2022
DOI: 10.25582/data.2022-06.2546034/2119312
title: Data for EMSL Project 51287 from June 2022
DOI: 10.25582/data.2022-06.2545669/2119313
title: Data for EMSL Project 51287 from June 2022
DOI: 10.25582/data.2022-06.2535954/2119314
title: Data for EMSL Project 51287 from June 2022
DOI: 10.25582/data.2022-06.2544835/2119315
title: Data for EMSL Project 51287 from June 2022
DOI: 10.25582/data.2022-06.2545953/2119316
title: Data for EMSL Project 51287 from June 2022
DOI: 10.25582/data.2022-06.2546586/2119317
title: Data for EMSL Project 51287 from June 2022
DOI: 10.25582/data.2022-06.2546659/2119318
title: Data for EMSL Project 51287 from June 2022
DOI: 10.25582/data.2022-06.2545854/2119319
title: Data for EMSL Project 51287 from June 2022
DOI: 10.25582/data.2022-06.2544841/2119320
title: Data for EMSL Project 51287 from June 2022
DOI: 10.25582/data.2022-06.2542750/2119321
title: Data for EMSL Project 51287 from June 2022
DOI: 10.25582/data.2022-06.2543647/2119322
title: Data for EMSL Project 51287 from June 2022
DOI: 10.25582/data.2022-06.2543626/2119323
title: Data for EMSL Project 51287 from June 2022
DOI: 10.25582/data.2022-06.2542606/2119324
title: Data for EMSL Project 51287 from June 2022
DOI: 10.25582/data.2022-06.2535778/2119325
title: Data for EMSL Project 51287 from June 2022
DOI: 10.25582/data.2022-06.2544826/2119326
title: Data for EMSL Project 51287 from June 2022
DOI: 10.25582/data.2022-06.2542594/2119327
title: Data for EMSL Project 51287 from June 2022
DOI: 10.25582/data.2022-06.2546504/2119328
title: Data for EMSL Project 51287 from June 2022
DOI: 10.25582/data.2022-06.2544913/2119329
title: Data for EMSL Project 51287 from June 2022
DOI: 10.25582/data.2022-06.2535236/2119330
title: Data for EMSL Project 51287 from June 2022
DOI: 10.25582/data.2022-06.2545423/2119331
title: Data for EMSL Project 51287 from June 2022
DOI: 10.25582/data.2022-06.2536911/2119332
title: Data for EMSL Project 51287 from June 2022
DOI: 10.25582/data.2022-06.2535343/2119333
title: Data for EMSL Project 51287 from June 2022
DOI: 10.25582/data.2022-06.2536525/2119334
title: Data for EMSL Project 51287 from June 2022
DOI: 10.25582/data.2022-06.2546617/2119335
title: Data for EMSL Project 51287 from June 2022
DOI: 10.25582/data.2022-06.2542271/2119336
title: Data for EMSL Project 51287 from June 2022
DOI: 10.25582/data.2022-06.2546638/2119337
title: Data for EMSL Project 51287 from June 2022
DOI: 10.25582/data.2022-06.2546320/2119338
title: Data for EMSL Project 51287 from June 2022
DOI: 10.25582/data.2022-06.2546001/2119339
title: Data for EMSL Project 51287 from June 2022
DOI: 10.25582/data.2022-06.2542126/2119340
title: Data for EMSL Project 51287 from June 2022
DOI: 10.25582/data.2022-06.2544914/2119341
title: Data for EMSL Project 51287 from June 2022
DOI: 10.25582/data.2022-06.2545999/2119342
title: Data for EMSL Project 51287 from June 2022
DOI: 10.25582/data.2022-06.2535800/2119343
title: Data for EMSL Project 51287 from June 2022
DOI: 10.25582/data.2022-06.2535943/2119344
title: Data for EMSL Project 51287 from June 2022
DOI: 10.25582/data.2022-06.2546399/2119345
title: Data for EMSL Project 51287 from June 2022
DOI: 10.25582/data.2022-06.2546808/2119346
title: Data for EMSL Project 51287 from June 2022
DOI: 10.25582/data.2022-06.2543637/2119347
title: Data for EMSL Project 51287 from June 2022
DOI: 10.25582/data.2022-06.2536555/2119348
title: Data for EMSL Project 51287 from June 2022
DOI: 10.25582/data.2022-06.2546337/2119349
title: Data for EMSL Project 51287 from June 2022
DOI: 10.25582/data.2022-06.2543619/2119350
title: Data for EMSL Project 51287 from June 2022
DOI: 10.25582/data.2022-06.2536917/2119351
title: Data for EMSL Project 51287 from June 2022
DOI: 10.25582/data.2022-06.2536070/2119352
title: Data for EMSL Project 51287 from June 2022
DOI: 10.25582/data.2022-06.2535801/2119353
title: Data for EMSL Project 51287 from June 2022
DOI: 10.25582/data.2022-06.2546667/2119354
title: Data for EMSL Project 51287 from June 2022
DOI: 10.25582/data.2022-06.2546565/2119355
title: Data for EMSL Project 51287 from June 2022
DOI: 10.25582/data.2022-06.2544820/2119356
title: Data for EMSL Project 51287 from June 2022
DOI: 10.25582/data.2022-06.2546611/2119357
title: Data for EMSL Project 51287 from June 2022
DOI: 10.25582/data.2022-06.2535319/2119358
title: Data for EMSL Project 51287 from June 2022
DOI: 10.25582/data.2022-06.2546591/2119359
title: Data for EMSL Project 51287 from June 2022
DOI: 10.25582/data.2022-07.2548550/2119360
title: Data for EMSL Project 51287 from July 2022
DOI: 10.25582/data.2022-06.2542685/2119361
title: Data for EMSL Project 51287 from June 2022
DOI: 10.25582/data.2022-06.2536871/2119362
title: Data for EMSL Project 51287 from June 2022
DOI: 10.25582/data.2022-06.2546497/2119363
title: Data for EMSL Project 51287 from June 2022
DOI: 10.25582/data.2022-06.2544822/2119364
title: Data for EMSL Project 51287 from June 2022
DOI: 10.25582/data.2022-06.2543687/2119365
title: Data for EMSL Project 51287 from June 2022
DOI: 10.25582/data.2022-06.2543595/2119366
title: Data for EMSL Project 51287 from June 2022
DOI: 10.25582/data.2022-06.2543388/2119367
title: Data for EMSL Project 51287 from June 2022
DOI: 10.25582/data.2022-07.2548554/2119368
title: Data for EMSL Project 51287 from July 2022
DOI: 10.25582/data.2022-06.2546660/2119369
title: Data for EMSL Project 51287 from June 2022
DOI: 10.25582/data.2022-06.2536122/2119370
title: Data for EMSL Project 51287 from June 2022
DOI: 10.25582/data.2022-06.2546532/2119371
title: Data for EMSL Project 51287 from June 2022
DOI: 10.25582/data.2022-06.2543732/2119372
title: Data for EMSL Project 51287 from June 2022
DOI: 10.25582/data.2022-06.2545085/2119373
title: Data for EMSL Project 51287 from June 2022
DOI: 10.25582/data.2022-06.2546595/2119374
title: Data for EMSL Project 51287 from June 2022
DOI: 10.25582/data.2022-06.2536053/2119375
title: Data for EMSL Project 51287 from June 2022
DOI: 10.25582/data.2022-06.2536863/2119376
title: Data for EMSL Project 51287 from June 2022
DOI: 10.25582/data.2022-06.2546577/2119377
title: Data for EMSL Project 51287 from June 2022
DOI: 10.25582/data.2022-06.2543667/2119378
title: Data for EMSL Project 51287 from June 2022
DOI: 10.25582/data.2022-06.2542156/2119379
title: Data for EMSL Project 51287 from June 2022
DOI: 10.25582/data.2022-06.2543651/2119380
title: Data for EMSL Project 51287 from June 2022
DOI: 10.25582/data.2022-06.2542786/2119381
title: Data for EMSL Project 51287 from June 2022