cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.20737018
title: Effects of long-term agromanagement strategies on soil microbial activity and nutrient availability in different dryland wheat systems?

description: Theree long term experiments (wheat tillage study: since 2003; wheat pea study: since 1963; and residue management study: since 1931) and a perennial and unmanaged grassland systems were used to determine the effects of long term agricultural practices on soil microbial activity and nutrient availability. This includes a suite of diverse management practices including tillage intensities, cover crops, residue managements in dryland wheat systems of Pacific Northwest.
DOI: 10.5441/001/1.sg2s0f7q/1
title: Data from Juvenile emperor penguin Aptenodytes forsteri range calls for extended conservation measures in the Southern Ocean

description: Houstin A, Zitterbart DP, Heerah K, Eisen O, Planas-Bielsa V, Fabry B, Le Bohec C. 2022. Juvenile emperor penguin range calls for extended conservation measures in the Southern Ocean. Roy Soc Open Sci. doi:10.1098/rsos.211708
description: To protect the unique and rich biodiversity of the Southern Ocean, conservation measures such as marine protected areas (MPAs) have been implemented. Currently, the establishment of several additional protection zones is being considered based on the known habitat distributions of key species of the ecosystems including emperor penguins and other marine top predators. However, the distribution of such species at sea is often insufficiently sampled. Specifically, current distribution models focus on the habitat range of adult animals and neglect that immatures and juveniles can inhabit different areas. By tracking eight juvenile emperor penguins in the Weddell Sea over one year and performing a meta-analysis including previously known data from other colonies, we show that conservation efforts in the Southern Ocean are insufficient for protecting this highly mobile species, and particularly its juveniles. We find that juveniles spend ~90% of their time outside the boundaries of proposed and existing MPAs, and that their distribution extends beyond (&gt; 1500 km) the species’ extent of occurrence as defined by the International Union for Conservation of Nature. Our data exemplify that strategic conservation plans for the Emperor penguin and other long-lived ecologically important species should consider the dynamic habitat range of all age classes.
DOI: 10.5441/001/1.sg2s0f7q/2
title: Data from Juvenile emperor penguin Aptenodytes forsteri range calls for extended conservation measures in the Southern Ocean-reference-data

description: Houstin A, Zitterbart DP, Heerah K, Eisen O, Planas-Bielsa V, Fabry B, Le Bohec C. 2022. Juvenile emperor penguin range calls for extended conservation measures in the Southern Ocean. Roy Soc Open Sci. doi:10.1098/rsos.211708
description: To protect the unique and rich biodiversity of the Southern Ocean, conservation measures such as marine protected areas (MPAs) have been implemented. Currently, the establishment of several additional protection zones is being considered based on the known habitat distributions of key species of the ecosystems including emperor penguins and other marine top predators. However, the distribution of such species at sea is often insufficiently sampled. Specifically, current distribution models focus on the habitat range of adult animals and neglect that immatures and juveniles can inhabit different areas. By tracking eight juvenile emperor penguins in the Weddell Sea over one year and performing a meta-analysis including previously known data from other colonies, we show that conservation efforts in the Southern Ocean are insufficient for protecting this highly mobile species, and particularly its juveniles. We find that juveniles spend ~90% of their time outside the boundaries of proposed and existing MPAs, and that their distribution extends beyond (&gt; 1500 km) the species’ extent of occurrence as defined by the International Union for Conservation of Nature. Our data exemplify that strategic conservation plans for the Emperor penguin and other long-lived ecologically important species should consider the dynamic habitat range of all age classes.
DOI: 10.5281/zenodo.7035878
title: Medium-sized to large mammals of a human-modified area in the state of São Paulo

description: Habitat modification is a major threat to biodiversity, and the Cerrado has been under high disturbances for the last decades, therefore, natural remnants lands play an important role in conserving local biodiversity. The São Paulo state contains few native remnants of Cerrado, generally surrounded by agriculture, which can shelter some species. Here we report the medium- and large-sized mammals found in a rural landscape in the Cerrado of São Paulo and the assessed annual richness. We set camera traps to survey mammals from 2013 to 2018. We recorded 21 different species from 13 families and 8 orders, from which 5 were exotic. The presence of exotic species indicates anthropogenic influence. The observed and estimated species richness showed almost no difference in the first year of sampling, but from 2014 onwards, the richness difference became greater. The most record species in 2018 was the coati (<em>Nasua nasua</em>), followed by the puma (<em>Puma concolor</em>), the giant anteater (<em>Myrmecophaga tridactyla</em>). Small natural remnants in private lands can work as ecological corridors, guaranteeing connectivity among patches in the landscape. These results highlight the importance of the small remnants in the southern domain of the Cerrado.
DOI: 10.5281/zenodo.7035877
title: Medium-sized to large mammals of a human-modified area in the state of São Paulo

description: Habitat modification is a major threat to biodiversity, and the Cerrado has been under high disturbances for the last decades, therefore, natural remnants lands play an important role in conserving local biodiversity. The São Paulo state contains few native remnants of Cerrado, generally surrounded by agriculture, which can shelter some species. Here we report the medium- and large-sized mammals found in a rural landscape in the Cerrado of São Paulo and the assessed annual richness. We set camera traps to survey mammals from 2013 to 2018. We recorded 21 different species from 13 families and 8 orders, from which 5 were exotic. The presence of exotic species indicates anthropogenic influence. The observed and estimated species richness showed almost no difference in the first year of sampling, but from 2014 onwards, the richness difference became greater. The most record species in 2018 was the coati (<em>Nasua nasua</em>), followed by the puma (<em>Puma concolor</em>), the giant anteater (<em>Myrmecophaga tridactyla</em>). Small natural remnants in private lands can work as ecological corridors, guaranteeing connectivity among patches in the landscape. These results highlight the importance of the small remnants in the southern domain of the Cerrado.
DOI: 10.5281/zenodo.7036106
title: Supplementary Material for the paper "Developers' Perception Matters: Machine Learning to Detect Developer-sensitive Smells"

description: Supplementary material for the paper "Daniel Oliveira; Wesley K. G. Assunção; Alessandro Garcia; Baldoino Fonseca; and Márcio Ribeiro. Developers' Perception Matters: Machine Learning to Detect Developer-sensitive Smells. In: Empirical Software Engineering. 2022. Springer."
DOI: 10.5281/zenodo.7036105
title: Supplementary Material for the paper "Developers' Perception Matters: Machine Learning to Detect Developer-sensitive Smells"

description: Supplementary material for the paper "Daniel Oliveira; Wesley K. G. Assunção; Alessandro Garcia; Baldoino Fonseca; and Márcio Ribeiro. Developers' Perception Matters: Machine Learning to Detect Developer-sensitive Smells. In: Empirical Software Engineering. 2022. Springer."
DOI: 10.25574/50503
title: Chandra X-ray Observatory ObsId 50503
DOI: 10.25574/50509
title: Chandra X-ray Observatory ObsId 50509
DOI: 10.25574/50511
title: Chandra X-ray Observatory ObsId 50511
DOI: 10.25574/50515
title: Chandra X-ray Observatory ObsId 50515
DOI: 10.25574/50522
title: Chandra X-ray Observatory ObsId 50522
DOI: 10.25574/50528
title: Chandra X-ray Observatory ObsId 50528
DOI: 10.25574/50537
title: Chandra X-ray Observatory ObsId 50537
DOI: 10.25574/50539
title: Chandra X-ray Observatory ObsId 50539
DOI: 10.25574/50542
title: Chandra X-ray Observatory ObsId 50542
DOI: 10.25574/50550
title: Chandra X-ray Observatory ObsId 50550
DOI: 10.25574/50556
title: Chandra X-ray Observatory ObsId 50556
DOI: 10.25574/50562
title: Chandra X-ray Observatory ObsId 50562
DOI: 10.25574/50567
title: Chandra X-ray Observatory ObsId 50567
DOI: 10.25574/50573
title: Chandra X-ray Observatory ObsId 50573
DOI: 10.25574/50578
title: Chandra X-ray Observatory ObsId 50578
DOI: 10.25574/50585
title: Chandra X-ray Observatory ObsId 50585
DOI: 10.25574/50589
title: Chandra X-ray Observatory ObsId 50589
DOI: 10.25574/50594
title: Chandra X-ray Observatory ObsId 50594
DOI: 10.25574/50599
title: Chandra X-ray Observatory ObsId 50599
DOI: 10.25574/50603
title: Chandra X-ray Observatory ObsId 50603
DOI: 10.25574/50607
title: Chandra X-ray Observatory ObsId 50607
DOI: 10.25574/50612
title: Chandra X-ray Observatory ObsId 50612
DOI: 10.25574/50620
title: Chandra X-ray Observatory ObsId 50620
DOI: 10.25574/50628
title: Chandra X-ray Observatory ObsId 50628
DOI: 10.25574/50634
title: Chandra X-ray Observatory ObsId 50634
DOI: 10.25574/50643
title: Chandra X-ray Observatory ObsId 50643
DOI: 10.25574/50645
title: Chandra X-ray Observatory ObsId 50645
DOI: 10.25574/50663
title: Chandra X-ray Observatory ObsId 50663
DOI: 10.25574/50665
title: Chandra X-ray Observatory ObsId 50665
DOI: 10.25574/50670
title: Chandra X-ray Observatory ObsId 50670
DOI: 10.25574/50676
title: Chandra X-ray Observatory ObsId 50676
DOI: 10.25574/50682
title: Chandra X-ray Observatory ObsId 50682
DOI: 10.25574/50687
title: Chandra X-ray Observatory ObsId 50687
DOI: 10.25574/50692
title: Chandra X-ray Observatory ObsId 50692
DOI: 10.25574/50698
title: Chandra X-ray Observatory ObsId 50698
DOI: 10.25574/50700
title: Chandra X-ray Observatory ObsId 50700
DOI: 10.25574/50704
title: Chandra X-ray Observatory ObsId 50704
DOI: 10.25574/50707
title: Chandra X-ray Observatory ObsId 50707
DOI: 10.25574/50714
title: Chandra X-ray Observatory ObsId 50714
DOI: 10.25574/50720
title: Chandra X-ray Observatory ObsId 50720
DOI: 10.25574/50726
title: Chandra X-ray Observatory ObsId 50726
DOI: 10.25574/50730
title: Chandra X-ray Observatory ObsId 50730
DOI: 10.25574/50735
title: Chandra X-ray Observatory ObsId 50735
DOI: 10.25574/50743
title: Chandra X-ray Observatory ObsId 50743
DOI: 10.15472/rwfj6h
title: Listado de las especies de Noteridae (Coleoptera: Adephaga) de Colombia

description: Este recurso presenta el listado de las especies de la familia Noteridae (Coleoptera: Adephaga) con ocurrencia conocida para el territorio colombiano. Se listaron dos subfamilias, una tribu, cinco géneros y ocho especies. Hasta ahora no se conocen especies endémicas. La información ha sido recopilada a partir de información disponible en los principales catálogos que tratan del grupo y en literatura reciente. Se incluyen las referencias de todas las descripciones originales y de los trabajos de revisión taxonómica.
DOI: 10.5281/zenodo.7036057
title: Received Signal Modeling and BER Analysis for Molecular SISO Communications

description: This file is to support the claim marked by footnote #2.
DOI: 10.5281/zenodo.7036056
title: Received Signal Modeling and BER Analysis for Molecular SISO Communications

description: This file is to support the claim marked by footnote #2.
DOI: 10.6084/m9.figshare.12774539
title: Reference data for WhichTF software

description: To identify functionally important transcription factors (TFs), we present WhichTF, a computational method that ranks TFs based on experimentally characterized chromatin accessibility measurements. <br> This dataset contains the reference data for this new method described in the following paper: <br> Y. Tanigawa, E. S. Dyer, and G. Bejerano. WhichTF is dominant in your open chromatin data? <em>PLOS Comput Biol</em> <strong>18</strong>(8): e1010378. (2022). https://doi.org/10.1371/journal.pcbi.1010378 <br> <br> Here, we provide the pre-computed reference for the software. There are 4 tar.gz compressed files, each of them correspond to one genome assembly of human or mouse genomes (human: hg19 and hg38 and mouse: mm9 and mm10). <br> Please see our manuscript and our Bitbucket repository (https://bitbucket.org/bejerano/whichtf) for more information about our method and the software.<br> If you use this dataset, please cite our pre-print.
DOI: 10.6084/m9.figshare.20737621
title: INDIRECT EFFECTS OF MICROPLASTIC-CONTAMINATED SOIL ON ADJACENT SOIL LAYERS: VERTICAL CHANGES IN SOIL PHYSICAL STRUCTURE AND WATERFLOW

description: microplastic-contaminated soil layers showed indirect effects on water distribution and flow path, aggregate size proportions, and microbial activities of adjacent soil layers.
DOI: 10.6084/m9.figshare.20737621.v1
title: INDIRECT EFFECTS OF MICROPLASTIC-CONTAMINATED SOIL ON ADJACENT SOIL LAYERS: VERTICAL CHANGES IN SOIL PHYSICAL STRUCTURE AND WATERFLOW

description: microplastic-contaminated soil layers showed indirect effects on water distribution and flow path, aggregate size proportions, and microbial activities of adjacent soil layers.
DOI: 10.5281/zenodo.5767451
title: Simulations of POPC/cholesterol mixtures at 298 K, three system sizes, CHARMM36

description: GROMACS input and output files. CHARMM36. Membranes with 64, 256, and 1024 lipids.
DOI: 10.5281/zenodo.5767450
title: Simulations of POPC/cholesterol mixtures at 298 K, three system sizes, CHARMM36

description: GROMACS input and output files. CHARMM36. Membranes with 64, 256, and 1024 lipids. Version 2: Updated with complete files for CHOL0_small.
DOI: 10.5281/zenodo.7035350
title: Simulations of POPC/cholesterol mixtures at 298 K, three system sizes, CHARMM36

description: GROMACS input and output files. CHARMM36. Membranes with 64, 256, and 1024 lipids. Version 2: Updated with complete files for CHOL0_small.
DOI: 10.6084/m9.figshare.3761562.v2326
title: Online Labour Index: Measuring the Online Gig Economy for Policy and Research

description: Data repository for the data underlying the Online Labour Index. See http://ilabour.oii.ox.ac.uk online-labour-index/ for details.
DOI: 10.25439/rmt.15001230.v3
title: The Australian National Liveability Study 2018 datasets: spatial urban liveability indicators for 21 cities

description: The final Australian National Liveability Study 2018 datasets comprise a suite of policy relevant spatial indicators of local neighbourhood liveability and amenity access estimated for residential address points across Australia's 21 largest cities, and summarised at range of larger area scales (Mesh Block, Statistical Areas 1-4, Suburb, LGA, and overall city summaries). The indicators and measures included encompass topics including community and health services, employment, food, housing, public open space, transportation, walkability and overall liveability. The datasets were produced through analysis of built environment and social data from multiple sources including OpenStreetMap the Australian Bureau of Statistics, and public transport agency GTFS feed data. These are provided in CSV format under an Open Data Commons Open Database licence. The 2018 Australian National Liveability data will be of interest to planners, population health and urban researchers with an interest in the spatial distribution of built environment exposures and outcomes for data linkage, modelling and mapping purposes. Area level summaries for the data were used to create the indicators for the Australian Urban Observatory at its launch in 2020. The spatial data were developed by the Healthy Liveable Cities Lab, Centre for Urban Research with funding support provided from the Australian Prevention Partnership Centre #9100003, NESP Clean Air and Urban Landscapes Hub, NHMRC Centre of Research Excellence in Healthy, Liveable Communities #1061404 and an NHMRC Senior Principal Research Fellowship GNT1107672; with interactive spatial indicator maps accessible via the Australian Urban Observatory. Any publications utilising the data are not necessarily the view of or endorsed by RMIT University or the Centre of Urban Research. RMIT excludes all liability for any reliance on the data.<br>
DOI: 10.5281/zenodo.7035940
title: Fruit Yield and Quality Evaluation of Nongrafted and Grafted Cantaloupe in a Mediterranean-type Climate

description: Cultivars, abbreviation, seed source, and sowing date of cantaloupe and rootstock cultivars used for grafted and nongrafted treatments at Mount Vernon, WA, in 2020 and 2021.
DOI: 10.5281/zenodo.7035939
title: Fruit Yield and Quality Evaluation of Nongrafted and Grafted Cantaloupe in a Mediterranean-type Climate

description: Cultivars, abbreviation, seed source, and sowing date of cantaloupe and rootstock cultivars used for grafted and nongrafted treatments at Mount Vernon, WA, in 2020 and 2021.
DOI: 10.5281/zenodo.7036190
title: High nucleotide similarity of three Copia lineage LTR retrotransposons among plant genomes

description: Transposable elements (TEs) are mobile genetic elements found in the majority of eukaryotic genomes. TEs deeply impact the structure and evolution of chromosomes and can induce mutations affecting coding genes. In plants, the major group of TEs is Long Terminal Repeats retrotransposons (LTR-RT). They are classified into superfamilies (<em>Gypsy</em>, <em>Copia</em>) and sub-classified into lineages. Horizontal transfer (HT), defined as the nonsexual transmission of genetic material between species, is a process allowing LTR-RTs to invade a new genome. Although this phenomenon was considered rare, recent studies demonstrate numerous transfers of LTR-RTs, suggesting that HT may be more frequent than initially estimated. This study aims to determine which LTR-RT lineages are shared with high similarity among 69 reference plant genomes. We identified and classified 88,450 LTR-RTs and determined 143 cases (involving 94 elements) of high similarities between pairs of genomes. Most of them involved three <em>Copia</em> lineages (<em>Oryco/Ivana</em>, <em>Retrofit/Ale</em> and <em>Tork/Tar/Ikeros</em>). A detailed analysis of three cases of high similarities involving <em>Tork/Tar/Ikeros</em> group shows a patchy distribution of the elements and phylogenetic incongruities, indicating they originated from potential HTs. Overall, our results suggest that <em>Copia</em> LTR-RTs share outstanding similarity between very distant species and may probably be more involved in HT mechanisms.
DOI: 10.5281/zenodo.7036189
title: High nucleotide similarity of three Copia lineage LTR retrotransposons among plant genomes

description: Transposable elements (TEs) are mobile genetic elements found in the majority of eukaryotic genomes. TEs deeply impact the structure and evolution of chromosomes and can induce mutations affecting coding genes. In plants, the major group of TEs is Long Terminal Repeats retrotransposons (LTR-RT). They are classified into superfamilies (<em>Gypsy</em>, <em>Copia</em>) and sub-classified into lineages. Horizontal transfer (HT), defined as the nonsexual transmission of genetic material between species, is a process allowing LTR-RTs to invade a new genome. Although this phenomenon was considered rare, recent studies demonstrate numerous transfers of LTR-RTs, suggesting that HT may be more frequent than initially estimated. This study aims to determine which LTR-RT lineages are shared with high similarity among 69 reference plant genomes. We identified and classified 88,450 LTR-RTs and determined 143 cases (involving 94 elements) of high similarities between pairs of genomes. Most of them involved three <em>Copia</em> lineages (<em>Oryco/Ivana</em>, <em>Retrofit/Ale</em> and <em>Tork/Tar/Ikeros</em>). A detailed analysis of three cases of high similarities involving <em>Tork/Tar/Ikeros</em> group shows a patchy distribution of the elements and phylogenetic incongruities, indicating they originated from potential HTs. Overall, our results suggest that <em>Copia</em> LTR-RTs share outstanding similarity between very distant species and may probably be more involved in HT mechanisms.
DOI: 10.5281/zenodo.7036209
title: Data Deposit for "Ligation-based Assay for Variant-Typing without Sequencing: Application to SARS-CoV-2 Variants of Concern"

description: No description provided.
DOI: 10.5281/zenodo.7036208
title: Data Deposit for "Ligation-based Assay for Variant-Typing without Sequencing: Application to SARS-CoV-2 Variants of Concern"

description: No description provided.
DOI: 10.25574/50754
title: Chandra X-ray Observatory ObsId 50754
DOI: 10.25574/50762
title: Chandra X-ray Observatory ObsId 50762
DOI: 10.25574/50767
title: Chandra X-ray Observatory ObsId 50767
DOI: 10.25574/50771
title: Chandra X-ray Observatory ObsId 50771
DOI: 10.25574/50776
title: Chandra X-ray Observatory ObsId 50776
DOI: 10.25574/50781
title: Chandra X-ray Observatory ObsId 50781
DOI: 10.25574/50787
title: Chandra X-ray Observatory ObsId 50787
DOI: 10.25574/50791
title: Chandra X-ray Observatory ObsId 50791
DOI: 10.25574/50798
title: Chandra X-ray Observatory ObsId 50798
DOI: 10.25574/50805
title: Chandra X-ray Observatory ObsId 50805
DOI: 10.25574/50812
title: Chandra X-ray Observatory ObsId 50812
DOI: 10.25574/50819
title: Chandra X-ray Observatory ObsId 50819
DOI: 10.25574/50826
title: Chandra X-ray Observatory ObsId 50826
DOI: 10.25574/50833
title: Chandra X-ray Observatory ObsId 50833
DOI: 10.25574/50840
title: Chandra X-ray Observatory ObsId 50840
DOI: 10.25574/50848
title: Chandra X-ray Observatory ObsId 50848
DOI: 10.25574/50854
title: Chandra X-ray Observatory ObsId 50854
DOI: 10.25574/50862
title: Chandra X-ray Observatory ObsId 50862
DOI: 10.25574/50869
title: Chandra X-ray Observatory ObsId 50869
DOI: 10.25574/50871
title: Chandra X-ray Observatory ObsId 50871
DOI: 10.25574/50890
title: Chandra X-ray Observatory ObsId 50890
DOI: 10.25574/50899
title: Chandra X-ray Observatory ObsId 50899
DOI: 10.25574/50910
title: Chandra X-ray Observatory ObsId 50910
DOI: 10.25574/50921
title: Chandra X-ray Observatory ObsId 50921
DOI: 10.25574/50926
title: Chandra X-ray Observatory ObsId 50926
DOI: 10.25574/50930
title: Chandra X-ray Observatory ObsId 50930
DOI: 10.25574/50935
title: Chandra X-ray Observatory ObsId 50935
DOI: 10.25574/50942
title: Chandra X-ray Observatory ObsId 50942
DOI: 10.25574/50947
title: Chandra X-ray Observatory ObsId 50947
DOI: 10.25574/50953
title: Chandra X-ray Observatory ObsId 50953
DOI: 10.25574/50961
title: Chandra X-ray Observatory ObsId 50961
DOI: 10.25574/50967
title: Chandra X-ray Observatory ObsId 50967
DOI: 10.25574/50973
title: Chandra X-ray Observatory ObsId 50973
DOI: 10.25574/50984
title: Chandra X-ray Observatory ObsId 50984
DOI: 10.25574/50992
title: Chandra X-ray Observatory ObsId 50992
DOI: 10.25574/50996
title: Chandra X-ray Observatory ObsId 50996
DOI: 10.6084/m9.figshare.20738248
title: Great_Ruaha_Basin_GW_model.zip

description: The files in the attached zip folder are used to create a groundwater model. The model is located in the geology of the Great Ruaha Basin, Tanzania. The model describes 5 different abstraction scenarios, termed 'pathways'. The files are GIS files, which are used to create groundwater model geometry and provide input parameters for the model. The model is a MODFLOW model created using the FREEWAT plugin in the QGIS software. (http://www.freewat.eu/news/freewat-version-112-now-available).