cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.7385479
title: Data and code for "increasing aridity causes larger and more severe forest fires across Europe"

description: ### Data and code for "increasing aridity causes larger and more severe forest fires across Europe" This repository holds code and data for the publication in GCB entitled: Increasing aridity causes larger and more severe forest fires across Europe (manuscript accepted) # scripts all scripts are in the folder "lib". In order to perform the full analysis, please follow through all scripts.<br> we provide the results of some steps in order to reduce runtime for the user. we indicate this in the headings of the scripts. 1. in the first script we prepare the ERA5-Land data. The code for the download is provided.<br> The user needs a CDS API for downloading. 2. the data from the ERA5-Land summer VPD is extracted for the fire complexes 3. calculation of the maximum fire size to total burned area relationship 4. the models are calibrated and compared. In this script the figure 3 and 4 are created 5. preparation of the future climate dataset. Again, the script for the download is provided but the user needs an API. 6. Extraction of the CMIP6 VPD. 7. Future climate analysis 8. Plotting of all figures that were not done in the previous scripts <br> # data climate: we provide the climate grid. all other climate data can be downloaded following the instructions within the scripts. complexes: we provide the fire complexes of each country. This data contains all information needed for the analysis including year, size, severity and polygon information. The complexes are based on the data from Senf & Seidl, 2021 (https://doi.org/10.1038/s41893-020-00609-y) which can be downloaded here: https://doi.org/10.5281/zenodo.7080016 countries: we provide the shapefiles of each country and Europe that are needed for the analysis in this folder. ecoregions: Olson et al. terrestrial ecosystems should be downloaded from: https://www.arcgis.com/home/item.html?id=be0f9e21de7a4a61856dad78d1c79eae models: we provide all final models used for the analysis. results: we provide the results of the individual steps. This should help to reduce the runtime for the user. # additional information R version 3.6.3 (2020-02-29)<br> Platform: x86_64-pc-linux-gnu (64-bit)<br> Running under: Ubuntu 18.04.5 LTS
description: Raw data from European forest disturbance maps (10.5281/zenodo.4570157)
DOI: 10.6084/m9.figshare.21665621
title: Genome-wide analysis of the B3 transcription factors reveals that RAV subfamily plays important roles in drought Stress in Pearl Millet (Pennisetum glaucum) supplementary tables

description: Supplementary Table 1 The list of Identification and analysis of PgB3s <br> Supplementary Table 2 The list of AP2/ERF homologous genes that have been annotated <br> Supplementary Table 3 The list of PgB3 protein is homologous to Arabidopsis <br> Supplementary Table 4 The list of Primer used in this study
DOI: 10.6084/m9.figshare.21665621.v1
title: Genome-wide analysis of the B3 transcription factors reveals that RAV subfamily plays important roles in drought Stress in Pearl Millet (Pennisetum glaucum) supplementary tables

description: Supplementary Table 1 The list of Identification and analysis of PgB3s <br> Supplementary Table 2 The list of AP2/ERF homologous genes that have been annotated <br> Supplementary Table 3 The list of PgB3 protein is homologous to Arabidopsis <br> Supplementary Table 4 The list of Primer used in this study
DOI: 10.6084/m9.figshare.21542949
title: Supplemental Data Files for: Male color polymorphism in populations of Reef Geckos (Sphaerodactylus notatus) reduces the utility of visual signals in sex recognition

description: Sexually dichromatic signals can identify the sex of a conspecific, facilitating decisions to initiate agonistic or courtship displays at the onset of social interactions. The utility of sex-specific signals, however, may be reduced when polymorphism evolves and these signals become variable. To explore the impact of polymorphism in the utility of sex-specific signals, we studied Floridian and Bahamian populations of the Reef Gecko, <em>Sphaerodactylus notatus</em>, which vary in the presence of polymorphic males (i.e., populations with monomorphic males that are sexually dichromatic from females; polymorphic with dichromatic and female-like males; polymorphic with dichromatic and intermediate males). We staged encounters between same-sex and different sex pairs on opposite sides of transparent barriers to measure response to visual signals, quantifying agonistic and courtship behavior. For geckos from the monomorphic population, opposite sex pairs consistently initiated courtship displays, and same-sex pairs initiated agonistic displays. In contrast, both polymorphic populations lacked consistent sex-specific response to visual signal, and the population with dichromatic and female-like males showed similar responses in both same-sex and opposite-sex pairings, failing to distinguish sex even when interacting with dichromatic males. When individuals from this polymorphic population were tested with the transparent barrier removed to allow olfactory signaling, we found clear courtship and agonistic responses between opposite sex and same-sex pairs, respectively. Our study suggests that loss of signal reliability when a trait becomes polymorphic can lead to reduction of signal utility, even when the signal remains present in some individuals and still conveys the sex of conspecifics.
DOI: 10.6084/m9.figshare.21542949.v1
title: Supplemental Data Files for: Male color polymorphism in populations of Reef Geckos (Sphaerodactylus notatus) reduces the utility of visual signals in sex recognition

description: Sexually dichromatic signals can identify the sex of a conspecific, facilitating decisions to initiate agonistic or courtship displays at the onset of social interactions. The utility of sex-specific signals, however, may be reduced when polymorphism evolves and these signals become variable. To explore the impact of polymorphism in the utility of sex-specific signals, we studied Floridian and Bahamian populations of the Reef Gecko, <em>Sphaerodactylus notatus</em>, which vary in the presence of polymorphic males (i.e., populations with monomorphic males that are sexually dichromatic from females; polymorphic with dichromatic and female-like males; polymorphic with dichromatic and intermediate males). We staged encounters between same-sex and different sex pairs on opposite sides of transparent barriers to measure response to visual signals, quantifying agonistic and courtship behavior. For geckos from the monomorphic population, opposite sex pairs consistently initiated courtship displays, and same-sex pairs initiated agonistic displays. In contrast, both polymorphic populations lacked consistent sex-specific response to visual signal, and the population with dichromatic and female-like males showed similar responses in both same-sex and opposite-sex pairings, failing to distinguish sex even when interacting with dichromatic males. When individuals from this polymorphic population were tested with the transparent barrier removed to allow olfactory signaling, we found clear courtship and agonistic responses between opposite sex and same-sex pairs, respectively. Our study suggests that loss of signal reliability when a trait becomes polymorphic can lead to reduction of signal utility, even when the signal remains present in some individuals and still conveys the sex of conspecifics.
DOI: 10.6084/m9.figshare.21665576.v1
title: DEGs-liver.csv

description: RNA-Seq
DOI: 10.6084/m9.figshare.17071970
title: Longest contigs from broader virome analysis

description: A FASTA file containing the longest contiguous sequence (contig) matching each of the 51 viruses detected as part of the broader virome analysis in: Batovska J, Mee PT, Sawbridge TI, Rodoni BC and Lynch SE (2022) Enhanced arbovirus surveillance with high-throughput metatranscriptomic processing of field-collected mosquitoes. <em>Viruses </em>14.
DOI: 10.6084/m9.figshare.17071970.v1
title: Longest contigs from broader virome analysis

description: A FASTA file containing the longest contiguous sequence (contig) matching each of the 51 viruses detected as part of the broader virome analysis in: Batovska J, Mee PT, Sawbridge TI, Rodoni BC and Lynch SE (2022) Enhanced arbovirus surveillance with high-throughput metatranscriptomic processing of field-collected mosquitoes. <em>Viruses </em>14.
DOI: 10.6084/m9.figshare.20468977.v1
title: World robot summit 2020 assembly challenge – summary of the competition and its outcomes*

description: The World Robot Summit (WRS) is a robotic ‘challenge and exposition’ organized by the Japanese government to accelerate social implementation, research and development of robots working in realistic daily life, society, and industrial fields. In this paper, we introduce a robot competition of the Industrial Robotics Category of the WRS, called ‘Assembly Challenge’, which is organized by the WRS Industrial Robotics Competition Committee in order to promote the development of the next-generation production systems that can respond to new production demands in agile and lean manners. After the pre-competition held in Tokyo in October 2018, the main competition, the WRS 2020, was originally scheduled to be held in Aichi (partly in Fukushima) in 2020, which was also the Olympic year. However, due to the pandemic of COVID-19, the event was postponed, and the competition was actually held in Aichi in September 2021. In this paper, we introduce the contents and results of the WRS 2020 and analyze the results. We would also like to summarize the 5-year project since 2017 and discuss the outcomes of the WRS.
DOI: 10.6084/m9.figshare.20468977
title: World robot summit 2020 assembly challenge – summary of the competition and its outcomes*

description: The World Robot Summit (WRS) is a robotic ‘challenge and exposition’ organized by the Japanese government to accelerate social implementation, research and development of robots working in realistic daily life, society, and industrial fields. In this paper, we introduce a robot competition of the Industrial Robotics Category of the WRS, called ‘Assembly Challenge’, which is organized by the WRS Industrial Robotics Competition Committee in order to promote the development of the next-generation production systems that can respond to new production demands in agile and lean manners. After the pre-competition held in Tokyo in October 2018, the main competition, the WRS 2020, was originally scheduled to be held in Aichi (partly in Fukushima) in 2020, which was also the Olympic year. However, due to the pandemic of COVID-19, the event was postponed, and the competition was actually held in Aichi in September 2021. In this paper, we introduce the contents and results of the WRS 2020 and analyze the results. We would also like to summarize the 5-year project since 2017 and discuss the outcomes of the WRS.
DOI: 10.5281/zenodo.7268673
title: Arabidopsis HapMap screen for salt-induced changes in root:shoot ratio - data for all experimental batches

description: Quantified root and shoot area of the 360 Arabidopsis accessions exposed to salt stress / control treatment. The data were collected during PhD of Magdalena Julkowska at University of Amsterdam, under supervision of Dr. Christa Testerink. The quantification of root system architecture was performed at University of Amsterdam, under supervision of Dr. Christa Testerink, and was used for the publication of Julkowska et al., 2017 (https://doi.org/10.1105/tpc.16.00680). The quantification of the root and shoot data was performed with custom developed tool at King Abdullah University of Science and Technology, during Magdalena Julkowska's Postdoc, under supervision of Dr. Mark Tester.
DOI: 10.5281/zenodo.5777477
title: Lake Levelling Data from Lake Taupō, 1979-2021

description: This dataset contains lake levelling measurements from Lake Taupō covering the period 1979-2021. If you use this data please cite: Otway, P., Illsley-Kemp, F., Mestel, E.R.H. Review of lake levelling surveys at Lake Taupō, 1979-2021. New Zealand Journal of Geology and Geophysics, 2021.
DOI: 10.5281/zenodo.6609324
title: Lake Levelling Data from Lake Taupō, 1979-2021

description: This dataset contains lake levelling measurements from Lake Taupō covering the period 1979-2021. If you use this data please cite: Otway, P., Illsley-Kemp, F., Mestel, E.R.H. Review of lake levelling surveys at Lake Taupō, 1979-2021. New Zealand Journal of Geology and Geophysics, 2021.
DOI: 10.5281/zenodo.6624310
title: Lake Levelling Data from Lake Taupō, 1979-2021

description: This dataset contains lake levelling measurements from Lake Taupō covering the period 1979-2021. It also contains three hand drawn versions of trendlines for the entire dataset (see associated paper for details). If you use this data please cite: Otway, P., Illsley-Kemp, F., Mestel, E.R.H. Taupō volcano’s restless nature revealed by 42 years of deformation surveys, 1979-2021. New Zealand Journal of Geology and Geophysics, 2022.
DOI: 10.5281/zenodo.7387887
title: Lake Levelling Data from Lake Taupō, 1979-2021

description: This dataset contains lake levelling measurements from Lake Taupō covering the period 1979-2021. It also contains three hand drawn versions of trendlines for the entire dataset (see associated paper for details). If you use this data please cite: Otway, P., Illsley-Kemp, F., Mestel, E.R.H. Taupō volcano’s restless nature revealed by 42 years of deformation surveys, 1979-2021. New Zealand Journal of Geology and Geophysics, 2022.
DOI: 10.5281/zenodo.7268672
title: Arabidopsis HapMap screen for salt-induced changes in root:shoot ratio - data for all experimental batches

description: Quantified root and shoot area of the 360 Arabidopsis accessions exposed to salt stress / control treatment. The data were collected during PhD of Magdalena Julkowska at University of Amsterdam, under supervision of Dr. Christa Testerink. The quantification of root system architecture was performed at University of Amsterdam, under supervision of Dr. Christa Testerink, and was used for the publication of Julkowska et al., 2017 (https://doi.org/10.1105/tpc.16.00680). The quantification of the root and shoot data was performed with custom developed tool at King Abdullah University of Science and Technology, during Magdalena Julkowska's Postdoc, under supervision of Dr. Mark Tester.
DOI: 10.23729/6569f2df-7c8d-408d-bb80-9293971c84ca
title: Corpus of Australian and New Zealand Spoken English

description: The Corpus of Australian and New Zealand Spoken English (CoANZSE) is a 196-million-word corpus of geolocated automatic speech recognition (ASR) YouTube transcripts from local government channels in Australia and New Zealand, created for the study of lexical, grammatical, and discourse-pragmatic phenomena of spoken language, as well as for content and language analysis in digital humanities and social science fields. Annotation includes individual word timings and video IDs of transcripts, making it easy to instantly view the video(s) for any given search. The corpus was created from 56,815 ASR transcripts from 482 YouTube channels, corresponding to almost 24,031 hours of video. The size of the corpus is 195,584,792 tokens. The channels sampled in the corpus are associated with local government entities such as local, city, county, district, and regional councils, and transcripts are from a range of video types. Recordings of public meetings are well-represented. Related resources are the Corpus of North American Spoken English, the Corpus of British Isles Spoken English, and the Corpus of German Speech. The untagged corpus is contained in the file coanzse_tokens_distributable.csv.gz. The PoS-tagged corpus with word timings is coanzse_textpos_distributable.csv.gz. The separator for both files is the pipe character "|". The files have the columns 'country', 'state', 'council_name', 'channel_title', 'channel_url', 'video_title', 'video_id', 'upload_date', 'video_length', 'location','nr_words','text_pos' (or 'text', in the untagged version), and 'latlong'. Each row corresponds to an individual transcript. In order to comply with Fair Use/Fair Dealing provisions of copyright law, the original ASR transcript files from YouTube have been transformed in this version of the corpus: Every 200 words, ten words have been replaced with "@". In the PoS-tagged and word-timed corpus, these tokens have the form @_XX_1.0. See also https://cc.oulu.fi/~scoats/CoANZSE.html
DOI: 10.23729/414c80d5-8e41-4ef3-9a77-9aaa6d389899
title: Corpus of Australian and New Zealand Spoken English

description: The Corpus of Australian and New Zealand Spoken English (CoANZSE) is a 196-million-word corpus of geolocated automatic speech recognition (ASR) YouTube transcripts from local government channels in Australia and New Zealand, created for the study of lexical, grammatical, and discourse-pragmatic phenomena of spoken language, as well as for content and language analysis in digital humanities and social science fields. Annotation includes individual word timings and video IDs of transcripts, making it easy to instantly view the video(s) for any given search. The corpus was created from 56,815 ASR transcripts from 482 YouTube channels, corresponding to almost 24,031 hours of video. The size of the corpus is 195,584,792 tokens. The channels sampled in the corpus are associated with local government entities such as local, city, county, district, and regional councils, and transcripts are from a range of video types. Recordings of public meetings are well-represented. Related resources are the Corpus of North American Spoken English, the Corpus of British Isles Spoken English, and the Corpus of German Speech. The untagged corpus is contained in the file coanzse_tokens_distributable.csv.gz. The PoS-tagged corpus with word timings is coanzse_textpos_distributable.csv.gz. The separator for both files is the pipe character "|". The files have the columns 'country', 'state', 'council_name', 'channel_title', 'channel_url', 'video_title', 'video_id', 'upload_date', 'video_length', 'location','nr_words','text_pos' (or 'text', in the untagged version), and 'latlong'. Each row corresponds to an individual transcript. In order to comply with Fair Use/Fair Dealing provisions of copyright law, the original ASR transcript files from YouTube have been transformed in this version of the corpus: Every 200 words, ten words have been replaced with "@". In the PoS-tagged and word-timed corpus, these tokens have the form @_XX_1.0. See also https://cc.oulu.fi/~scoats/CoANZSE.html
DOI: 10.23729/d563917d-f347-4c59-9668-e72cdec9689f
title: Corpus of North American Spoken English_v1.1

description: The Corpus of North American Spoken English (CoNASE) is a 1.29-billion-word corpus of geolocated automatic speech recognition (ASR) YouTube transcripts from the United States and Canada, created for the study of lexical, grammatical, and discourse-pragmatic phenomena of spoken language, including their geographical distribution, in North American English. The size of the corpus allows rare phenomena to be considered, and because the annotation includes the video IDs of transcripts, search hits can be manually inspected and video or audio data can be accessed. As the starting point of a scripting pipeline, the corpus can also be used for large-scale acoustic analyses of North American speech. The corpus was created from 301,847 ASR transcripts from 2,572 YouTube channels, corresponding to 154,041 hours of video. The size of the corpus is 1,294,885,016 word tokens. The channels sampled in the corpus are associated with local government entities such as town, city, or county boards and councils, school or utility districts, regional authorities such as provincial or territorial governments, or other governmental organizations. The transcripts are primarily of recordings of public meetings, although other genres are also present. Video transcripts have been assigned exact latitude-longitude coordinates using a geocoding script. The untagged corpus is contained in the file conase_distributable.csv.gz. The PoS-tagged corpus with word timings is conase_pos_distributable.csv.gz. The separator for both files is the pipe character "|". The files contain the columns 'country', 'state', 'channel_title', 'video_title', 'video_id', 'name', 'type', 'channel_id', 'channel_username', 'video_length', 'location', 'address', 'nr_words', 'text_pos' (or 'text', in the untagged version), and 'latlong'. Each row corresponds to an individual transcript. In order to comply with Fair Use provisions of US copyright law, the original ASR transcript files from YouTube have been transformed in this version of the corpus: Every 200 words, ten words have been replaced with "@". In the PoS-tagged and word-timed corpus, these tokens have the form @_XX_1.0. See also https://cc.oulu.fi/~scoats/CoNASE.html
DOI: 10.6084/m9.figshare.21069946.v2
title: Multi-tissue RNA-Seq analysis and long-read-based genome assembly reveal complex sex-specific gene regulation and molecular evolution in the Manila clam

description: The genome anntation.
DOI: 10.23729/938c1d6a-6f5c-454e-a229-be7f66c1ecf4
title: Corpus of German Speech

description: The Corpus of German Speech (CoGS) is a 51-million-word corpus of geolocated automatic speech recognition (ASR) YouTube transcripts from local government channels in Germany, created for the study of lexical, grammatical, and discourse-pragmatic phenomena of spoken language, as well as for content and language analysis in digital humanities and social science fields. Annotation includes individual word timings and video IDs of transcripts, making it easy to instantly view the video(s) for any given search. The corpus was created from 39,495 ASR transcripts from 1,313 YouTube channels, corresponding to more than 7,223 hours of video. The size of the corpus is 50,514,575 tokens. The channels sampled in the corpus are associated with local government entities, mostly city governments. Related resources are the Corpus of North American Spoken English, the Corpus of British Isles Spoken English, and the Corpus of Australian and New Zealand Spoken English. The untagged corpus is contained in the file cogs_tokens_distributable.csv.gz. The PoS-tagged corpus with word timings is cogs_textpos_distributable.csv.gz. The separator for both files is the pipe character "|". The files have the columns 'Bundesland', 'Gemeinde', 'channel_title', 'channel_url', 'video_title', 'video_id', 'upload_date', 'video_length', 'location','nr_words','text_pos' (or 'text', in the untagged version), and 'latlong'. Each row corresponds to an individual transcript. In order to comply with Fair Use provisions of US copyright law, the original ASR transcript files from YouTube have been transformed in this version of the corpus: Every 200 words, ten words have been replaced with "@". In the PoS-tagged and word-timed corpus, these tokens have the form @_XX_1.0. See also https://cc.oulu.fi/~scoats/CoGS.html.
DOI: 10.6084/m9.figshare.21069946.v3
title: Multi-tissue RNA-Seq analysis and long-read-based genome assembly reveal complex sex-specific gene regulation and molecular evolution in the Manila clam

description: The genome anntation.
DOI: 10.6084/m9.figshare.21069946.v4
title: Multi-tissue RNA-Seq analysis and long-read-based genome assembly reveal complex sex-specific gene regulation and molecular evolution in the Manila clam

description: The genome anntation.
DOI: 10.6084/m9.figshare.21665564
title: Which of Plot Size, Feature, and Prediction Model is More Important and Has Stronger Impacts on Estimating Aboveground Biomass?

description: The Unmanned Aerial Vehicle laser scanning (UAV-LiDAR) data (csv file) for five plot sizes: five plots for each plot size. Note: 004ha represents 0.04 ha; 006ha represents 0.06 ha; 009ha represents 0.09 ha; 016ha represents 0.16 ha; 025ha represents 0.25 ha.