cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.4487141
title: 19th Century United States Newspaper images predicted as Photographs with labels for "human", "animal", "human-structure" and "landscape"

description: The Dataset contains images derived from the Newspaper Navigator (news-navigator.labs.loc.gov/), a dataset of images drawn from the Library of Congress Chronicling America collection (chroniclingamerica.loc.gov/). [The Newspaper Navigator dataset] consists of extracted visual content for 16,358,041 historic newspaper pages in <em>Chronicling America</em>. The visual content was identified using an object detection model trained on annotations of World War 1-era Chronicling America pages, including annotations made by volunteers as part of the Beyond Words crowdsourcing project. source: https://news-navigator.labs.loc.gov/ One of these categories is 'photographs'. This dataset contains a sample of these images with additional labels indicating if the photograph has one or more of the following labels: "human", "animal", "human-structure" and "landscape" The data is organised as follows: The images themselves can be found in `images.zip` `newspaper-navigator-sample-metadata.csv` contains metadata about each image drawn from the Newspaper Navigator Dataset. `multi_label.csv` contains the labels for the images as a CSV file `annotations.csv` conains the labels for the images with additional metadata This dataset was created for use in an under-review Programming Historian tutorial (http://programminghistorian.github.io/ph-submissions/lessons/computer-vision-deep-learning-pt2) The primary aim of the data was to provide a realistic example dataset for teaching computer vision for working with digitised heritage material. The data is shared here since it may be useful for others. <strong>This data documentation is a work in progress and will be updated when the Programming Historian tutorial is released publicly. </strong> The metadata CSV file contains the following columns: - filepath<br> - pub_date<br> - page_seq_num<br> - edition_seq_num<br> - batch<br> - lccn<br> - box<br> - score<br> - ocr<br> - place_of_publication<br> - geographic_coverage<br> - name<br> - publisher<br> - url<br> - page_url<br> - month<br> - year<br> - iiif_url
DOI: 10.5281/zenodo.4487140
title: 19th Century United States Newspaper images predicted as Photographs with labels for "human", "animal", "human-structure" and "landscape"

description: The Dataset contains images derived from the Newspaper Navigator (news-navigator.labs.loc.gov/), a dataset of images drawn from the Library of Congress Chronicling America collection (chroniclingamerica.loc.gov/). [The Newspaper Navigator dataset] consists of extracted visual content for 16,358,041 historic newspaper pages in <em>Chronicling America</em>. The visual content was identified using an object detection model trained on annotations of World War 1-era Chronicling America pages, including annotations made by volunteers as part of the Beyond Words crowdsourcing project. source: https://news-navigator.labs.loc.gov/ One of these categories is 'photographs'. This dataset contains a sample of these images with additional labels indicating if the photograph has one or more of the following labels: "human", "animal", "human-structure" and "landscape" The data is organised as follows: The images themselves can be found in `images.zip` `newspaper-navigator-sample-metadata.csv` contains metadata about each image drawn from the Newspaper Navigator Dataset. `multi_label.csv` contains the labels for the images as a CSV file `annotations.csv` conains the labels for the images with additional metadata This dataset was created for use in an under-review Programming Historian tutorial (http://programminghistorian.github.io/ph-submissions/lessons/computer-vision-deep-learning-pt2) The primary aim of the data was to provide a realistic example dataset for teaching computer vision for working with digitised heritage material. The data is shared here since it may be useful for others. <strong>This data documentation is a work in progress and will be updated when the Programming Historian tutorial is released publicly. </strong> The metadata CSV file contains the following columns: - filepath<br> - pub_date<br> - page_seq_num<br> - edition_seq_num<br> - batch<br> - lccn<br> - box<br> - score<br> - ocr<br> - place_of_publication<br> - geographic_coverage<br> - name<br> - publisher<br> - url<br> - page_url<br> - month<br> - year<br> - iiif_url
DOI: 10.48370/ofd/isjmml
title: Sawadaea tulasnei (Fuckel) Homma, 2413

description: Fungarium Mikromycetes
DOI: 10.48370/ofd/lmlgmg
title: Sawadaea tulasnei (Fuckel) Homma, 2494

description: Fungarium Mikromycetes
DOI: 10.34740/kaggle/dsv/3030774
title: COVID Vaccination in World (updated daily)
DOI: 10.48370/ofd/u6pp6n
title: Sawadaea tulasnei (Fuckel) Homma, 2505

description: Fungarium Mikromycetes
DOI: 10.5281/zenodo.5837884
title: Gallinago solitaria decontaminated FSCR

description: .
DOI: 10.5281/zenodo.5837883
title: Gallinago solitaria decontaminated FSCR

description: .
DOI: 10.48370/ofd/zvgaaw
title: Sawadaea tulasnei (Fuckel) Homma, 2600

description: Fungarium Mikromycetes
DOI: 10.5281/zenodo.5793917
title: HARVEST_191931_MOD_ORTH_4.1_APDL_UNIPD_CONSORTIUM_UNIT-CELL.txt

description: Ansys APDL file for the generation and solution of unit cells with different arrays, for obtaining the electric and thermal conductivities and the Seebeck coefficient of UD composites.
DOI: 10.5281/zenodo.5793916
title: HARVEST_191931_MOD_ORTH_4.1_APDL_UNIPD_CONSORTIUM_UNIT-CELL.txt

description: Ansys APDL file for the generation and solution of unit cells with different arrays, for obtaining the electric and thermal conductivities and the Seebeck coefficient of UD composites.
DOI: 10.15468/ueabgj
title: Desoria calderonis sp. nov., a new species of alpine cryophilic springtail (Collembola: Isotomidae) from the Apennines (Italy), with phylogenetic and ecological considerations

description: This dataset contains the digitized treatments in Plazi based on the original journal article Valle, Barbara, Cucini, Claudio, Nardi, Francesco, Caccianiga, Marco, Gobbi, Mauro, Musciano, Michele Di, Carapelli, Antonio, Ficetola, Gentile Francesco, Guerrieri, Alessia, Fanciulli, Pietro Paolo (2021): Desoria calderonis sp. nov., a new species of alpine cryophilic springtail (Collembola: Isotomidae) from the Apennines (Italy), with phylogenetic and ecological considerations. European Journal of Taxonomy 787: 32-52, DOI: https://doi.org/10.5852/ejt.2021.787.1599, URL: http://dx.doi.org/10.5852/ejt.2021.787.1599
DOI: 10.5281/zenodo.5793938
title: HARVEST_200130_MOD_ANIS_4.2_APDL_UNIPD_CONSORTIUM_COUPLED+THERMAL+ELECTRIC.txt

description: Ansys APDL files for the electric, thermal and thermo-electric properties of two-ply laminates with periodic boundary conditions.
DOI: 10.5281/zenodo.5793937
title: HARVEST_200130_MOD_ANIS_4.2_APDL_UNIPD_CONSORTIUM_COUPLED+THERMAL+ELECTRIC.txt

description: Ansys APDL files for the electric, thermal and thermo-electric properties of two-ply laminates with periodic boundary conditions.
DOI: 10.48370/ofd/r9dxsk
title: Sawadaea tulasnei (Fuckel) Homma, 2602

description: Fungarium Mikromycetes
DOI: 10.5519/qd.rtbkrpva
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (686 records)
DOI: 10.6073/pasta/c771ce4b4eb9527b85bceb67c59b3bab
title: Increased temperature, N and snowpack experiment for north of saddle from 2006 to ongoing, yearly

description: In 2006 we established a global change experiment in the Indian Peaks Wilderness in the Front Range of the Rocky Mountains to investigate how manipulations of warmer summer temperature, N deposition, and increased snowpack would affect the growth of alpine plants. The experiment was implemented on Niwot Ridge, where shrub cover has expanded by over 400% since 1946 (Formica et al. 2014). We established experimental plot north of the Niwot Ridge saddle, in an area of moist meadow tundra where willow shrub (Salix sp.) patches are present. Within experimental plots, Salix glauca seedlings were transplanted in 2006 and 2007 to test whether changing environmental conditions facilitated shrub survival and growth. In 2007 and 2008, phenological observations were recorded for all (2007) or abundant (2008) species in experimental plots. Measurements of plant species composition and aboveground net primary productivity (ANPP) are also made annually, and included in this data package. In July of 2016, a community transplant experiment was implemented to test whether changing environmental conditions support changes in alpine tundra plant communities. Two species characteristic of (1) dry meadow tundra (Tetraneuris acaulis, Erigeron pinnatisectus), (2) snowbed tundra (Ranunculus adoneus, Saxifraga rhomboidea) and (3) subalpine meadow (Trollius albiflorus, Polemonium pulcherrimum) were transplanted into experimental plots. Survival and growth of transplants is documented annually. References: Formica, A., Farrer, E.C., Ashton, I.W., and Suding, K.N. Shrub expansion over the past 62 years in Rocky Mountain Alpine Tundra: Possible causes and consequences. Arctic, Antarctic and Alpine Research 46, 616-631.
DOI: 10.6073/pasta/8186d641539c37787495804b817e55ed
title: Snow depth data for Saddle grid, 1992 - ongoing

description: The depth of snow was measured at 88 points on the saddle grid. The 500 x 350 m study area (17.5 ha) consisted of a grid of 8 rows of stakes in an east/west direction and 11 rows of stakes in a north/south direction (for a total of 88 stakes). The stakes were located 50 m apart. Each stake was given a point identification number starting with 1 in the southwest corner and progressing in an easterly direction for each of the east/west rows so that if head of this file represented the north compass point and the tail represented the south compass point, then the grid would look like this: 71 72 73 74 75 76 77 78 79 80 801(=80A) 61 62 63 64 65 66 67 68 69 70 701(=70A) 51 52 53 54 55 56 57 58 59 60 601(=60A) 41 42 43 44 45 46 47 48 49 50 501(=50A) 31 32 33 34 35 36 37 38 39 40 401(=40A) 21 22 23 24 25 26 27 28 29 30 301(=30A) 11 12 13 14 15 16 17 18 19 20 201(=20A) 1 2 3 4 5 6 7 8 9 10 101(=10A) Note that stakes along the east boundary of the grid, i.e. those ending with the "A", were given new designations to facilitate incorporation of the data into the Saddle GIS. Snow depths at each of the stakes were recorded on a weekly to biweekly basis throughout the period during which snow accumulation existed on the Saddle.
DOI: 10.6073/pasta/846acb40f7e8a0491ee789428f4e4bea
title: Climate data for saddle data loggers (CR23X and CR1000), 2000 - ongoing, daily.

description: Climatological data were collected from the saddle climate station on Niwot Ridge (3525 m elevation) throughout the year. From 2000-06-24 to 2012-03-24, data were recorded using a Campbell Instruments CR23X data logger. Subsequently, data were recorded using a Campbell Instruments CR1000 data logger. Maximum and minimum values were recorded instantaneously, with a sampling interval of 5 seconds. Daily means and totals were calculated from 17,280 individual measurements. The CR23X logger was programmed to generate both hourly and daily output. The CR1000 logger generated daily, hourly, and minute data until September 2014, and 10 minute and minute data thereafter.
DOI: 10.5517/ccdc.csd.cc210mb1
title: CCDC 1877432: Experimental Crystal Structure Determination

description: Related Article: Y. Mao, P.Y. Zavalij|2018|Acta Crystallogr.,Sect.C:Cryst.Struct.Chem.|74|1719|doi:10.1107/S2053229618015759
DOI: 10.5517/ccdc.csd.cc210mc2
title: CCDC 1877433: Experimental Crystal Structure Determination

description: Related Article: Y. Mao, P.Y. Zavalij|2018|Acta Crystallogr.,Sect.C:Cryst.Struct.Chem.|74|1719|doi:10.1107/S2053229618015759
DOI: 10.25505/fiz.icsd.cc211p2w
title: CSD 1878447: Experimental Crystal Structure Determination

description: Related Article: Ziqing Li, Pengfei Zhu, Yang Chen, Nianjing Ji, Jian Liu, Xiulan Duan, Huaidong Jiang|2019|CrystEngComm|21|1570|doi:10.1039/C8CE01724G
DOI: 10.25505/fiz.icsd.cc211p4y
title: CSD 1878449: Experimental Crystal Structure Determination

description: Related Article: Ailijiang Abudurusuli, Kui Wu, Abudukadi Tudi, Zhihua Yang, Shilie Pan|2019|Chem.Commun.|55|5143|doi:10.1039/C9CC00560A
DOI: 10.25505/fiz.icsd.cc211p5z
title: CSD 1878450: Experimental Crystal Structure Determination

description: Related Article: Ailijiang Abudurusuli, Kui Wu, Abudukadi Tudi, Zhihua Yang, Shilie Pan|2019|Chem.Commun.|55|5143|doi:10.1039/C9CC00560A
DOI: 10.25505/fiz.icsd.cc211p60
title: CSD 1878451: Experimental Crystal Structure Determination

description: Related Article: Ailijiang Abudurusuli, Kui Wu, Abudukadi Tudi, Zhihua Yang, Shilie Pan|2019|Chem.Commun.|55|5143|doi:10.1039/C9CC00560A
DOI: 10.25505/fiz.icsd.cc211p71
title: CSD 1878452: Experimental Crystal Structure Determination

description: Related Article: Ailijiang Abudurusuli, Kui Wu, Abudukadi Tudi, Zhihua Yang, Shilie Pan|2019|Chem.Commun.|55|5143|doi:10.1039/C9CC00560A
DOI: 10.5517/ccdc.csd.cc211sjf
title: CSD 1878554: Experimental Crystal Structure Determination

description: Related Article: Amira Siai, Alexandru Oprea, Markus Ströbele, Hans-Jürgen Meyer|2019|Dalton Trans.|48|13813|doi:10.1039/C9DT02124H
DOI: 10.5517/ccdc.csd.cc211ygj
title: CCDC 1878707: Experimental Crystal Structure Determination

description: Related Article: W.-J. Chen, K.-B. Chu, J.-L. Song|2018|Acta Crystallogr.,Sect.C:Cryst.Struct.Chem.|74|1744|doi:10.1107/S2053229618016030
DOI: 10.6084/m9.figshare.17085692
title: Supplementary Material for: The effect of body weight and alcohol consumption on hyperuricemia and their attributable population fractions: A National health survey in China

description: Introduction: The prevalence of hyperuricemia is increasing world widely; the understanding of population attributable faction of modifiable risk factors is important for disease prevention. Given the sparse evidence on how modifiable risk factors influence hyperuricemia in mainland China, we aim to explore the effect of excess weight and alcohol consumption and the population attributable fractions of hyperuricemia based on a national survey in mainland China. Methods: Using data from China National Health Survey which included 31746 Han Chinese aged 20-80 from ten provinces, we estimated the prevalence and modifiable risk factors (overweight/obesity and alcohol consumption)of hyperuricemia. Hyperuricemia was defined as serum uric acid &gt; 417 μmol/L in men and &gt; 340 μmol/L in women. Restricted cubic spline models were used to demonstrate the linear and non-linear association between exposures and hyperuricemia. The adjusted population attributable risk (PAR) was calculated to understand the relative importance of each modifiable risk factor. Results: The prevalence of hyperuricemia was 25.1% in men and 15.9% in women. The population fraction of hyperuricemia cases that could be avoided by weight loss was 20.6% (19.2% to 22.0%) in men and 18.1% (17.1% to 19.0%) in women. The PAR of alcohol consumption was 12.8% (8.5% to 17.1%) in men. Participants from southwest China had the highest hyperuricemia prevalence (47.9% in men and 29.9% in women), but with lower PAR of modifiable risk factors, especially in men (16.7%). Subjects in North China had lower hyperuricemia prevalence but higher PAR of modifiable risk factors. 44.8% male hyperuricemia cases in Inner Mongolia (26.9% of hyperuricemia prevalence) and 37.7% cases in men from Heilongjiang (34.4% of hyperuricemia prevalence) were attributable to overweight/obesity and alcohol consumption. Conclusion: There are significant sex and geographic difference on population attributable risk of hyperuricemia due to modifiable risk factors. More tailored prevention strategies are needed to prevent hyperuricemia through weight loss and the reduction of alcohol consumption.
DOI: 10.25505/fiz.icsd.cc20bf93
title: CSD 1857064: Experimental Crystal Structure Determination

description: Related Article: Ziqing Li, Pengfei Zhu, Yang Chen, Nianjing Ji, Jian Liu, Xiulan Duan, Huaidong Jiang|2019|CrystEngComm|21|1570|doi:10.1039/C8CE01724G
DOI: 10.25505/fiz.icsd.cc212ctb
title: CSD 1879121: Experimental Crystal Structure Determination

description: Related Article: Matthew Sale, Qingbo Xia, Maxim Avdeev, Chris D. Ling|2019|Inorg.Chem.|58|4164|doi:10.1021/acs.inorgchem.8b03195
DOI: 10.25505/fiz.icsd.cc212cvc
title: CSD 1879122: Experimental Crystal Structure Determination

description: Related Article: Matthew Sale, Qingbo Xia, Maxim Avdeev, Chris D. Ling|2019|Inorg.Chem.|58|4164|doi:10.1021/acs.inorgchem.8b03195
DOI: 10.25505/fiz.icsd.cc212kc2
title: CSD 1879293: Experimental Crystal Structure Determination

description: Related Article: Yang Chi, Teng-Fei Jiang, Huai-Guo Xue, Sheng-Ping Guo|2019|Inorg.Chem.|58|3574|doi:10.1021/acs.inorgchem.8b03256
DOI: 10.25505/fiz.icsd.cc212m5y
title: CSD 1879349: Experimental Crystal Structure Determination

description: Related Article: G. Borodi, A. Turza, O. Onija, A. Bende|2019|Acta Crystallogr.,Sect.C:Cryst.Struct.Chem.|75|107|doi:10.1107/S2053229618017904
description: Related Article: H. Klein, V.O. Garlea, C. Darie, P. Bordet|2019|Acta Crystallogr.,Sect.B:Struct.Sci.,Cryst.Eng. and Mat.|75|107|doi:10.1107/S205252061801627X
DOI: 10.5517/ccdc.csd.cc212xnq
title: CSD 1879643: Experimental Crystal Structure Determination

description: Related Article: Lingyun Dong, Ying Wang, Bingbing Zhang, Zhihua Yang, Xusheng Ge, Kai Liu, Shigang Shen|2019|Inorg.Chem.|58|1750|doi:10.1021/acs.inorgchem.8b03356
DOI: 10.6084/m9.figshare.18148082.v1
title: Dataset_Aaustralis

description: This is the dataset of the article Monogamy in the burrowing shrimp Axianassa australis Rodrigues & Shimizu, 1992 (Decapoda, Gebiidea, Axianassidae), recently submitted for The Biological Bulletin. <br>
DOI: 10.6084/m9.figshare.18148082
title: Dataset_Aaustralis

description: This is the dataset of the article Monogamy in the burrowing shrimp Axianassa australis Rodrigues & Shimizu, 1992 (Decapoda, Gebiidea, Axianassidae), recently submitted for The Biological Bulletin. <br>
DOI: 10.6073/pasta/25042bc26f5eba3b4da79ed48eb0d5d4
title: Blue Crab Densities in a Landscape Context on the Virginia Coast, Summer 2019

description: Table 1 Crab Data : Blue crab (Callinectes sapidus) abundance was sampled at twenty-four sites in Spider Crab Bay, Cobb Bay, and South Bay (comprising two large seagrass meadows: "South Bay" for the northern portion and "Ship Shoal" for the southern portion) as part of a study to evaluate the drivers of blue crab spatial patterns across restored seagrass meadows in the coastal bays of Virginia, USA. The four meadows are representative of seagrass meadows in the region that have recovered after experiencing large declines due to wasting disease and storms (Orth et al., 2006). Each meadow contained six fixed sampling sites. Each captured crab's morphological and demographic characteristics were evaluated; as such, data are presented at the individual level. Table 2 Landscape Data: Landscape measurements were taken for twenty-four sites in Spider Crab Bay, Cobb Bay, and South Bay (comprising two large seagrass meadows: "South Bay" for the northern portion and "Ship Shoal" for the southern portion) as part of a study to evaluate the drivers of blue crab spatial patterns across restored seagrass meadows in the coastal bays of Virginia, USA. The four meadows are representative of seagrass meadows in the region that have recovered after experiencing large declines due to wasting disease and storms (Orth et al. 2006). Each meadow contained six fixed sampling sites. All landscape measurements were made using QGIS 3.14.0 (QGIS.org 2020). Seagrass landscape measurements were calculated using maps developed from aerial imagery by Orth et al. (2019). Oyster reefs polygons were mapped by Ross and Luckenbach (2009). Salt marsh polygons were mapped by Berman et al. (2011) and modified based on imagery from Planet Team (2019). Mean seagrass shoot density measurements were based on a VCR-wide 2019 sampling effort led by McGlathery (2018).
DOI: 10.15468/nzjzz3
title: Contributions to the knowledge of Eylaoidea (Acari: Hydrachnidiae) from China

description: This dataset contains the digitized treatments in Plazi based on the original journal article Jin, Dao-Chao, Guo, Jian-Jun (2022): Contributions to the knowledge of Eylaoidea (Acari: Hydrachnidiae) from China. European Journal of Taxonomy 787 (1): 53-70, DOI: https://doi.org/10.5852/ejt.2021.787.1613, URL: http://dx.doi.org/10.5852/ejt.2021.787.1613
DOI: 10.25345/c5nc6g
title: MassIVE MSV000088671 - Exosomes from GBM established cell lines (U87, U373) and GBM primary CSC
title: In this study, we investigated and compared the miRNA and protein content of the small EVs released by different human GBM established cell lines and by GBM primary CSC lines, to explore the role of EVs in their different tumor behavior and capacities.
DOI: 10.5281/zenodo.5834034
title: GRAND-SLAM analysis of SARS-CoV-2 data from Finkel et al., Nature 2021 (https://www.nature.com/articles/s41586-021-03610-3)

description: This is the processed SLAM-seq data from Finkel et al., Nature 2021 (https://www.nature.com/articles/s41586-021-03610-3). The zip file contains the full output from the processing pipeline (including the mapped reads, the scripts to run the pipeline and the output). The json file is required if you want to start from scratch. The file sars.tsv.gz is the GRAND-SLAM output table. To generate the GRAND-SLAM output yourself, first prepare the human (ensembl v90) and the SARS-CoV-2 genome (NC_045512). Then run: <pre><code class="language-bash">gedi -e Slam -trim5p 15 -reads sars.cit -genomic h.ens90 SARS-CoV2 -prefix grandslam_t15/sars -plot -progress </code></pre> To generate the cit file you have to modify the first lines in start.bash to match the paths on your file system, and then run it. You can also start from scratch (i.e., the json file): Prepare the human genome (ensembl v90), the SARS-CoV-2 genome (NC_045512), the human rRNA sequence (U13369.1), and the Mycoplasma hominis sequence Prepare the joint STAR index for the human and virus genome by calling gedi -e GenomicUtils -p -m star -g h.ens90 SARS-CoV2 Modify the starindex entry in the json file to match your file system Run: gedi -e Pipeline -r parallel -j sars.json rnaseq_mapping.sh report.sh grandslam.sh Software versions: gedi toolkit 1.0.4 GRAND-SLAM 2.0.7 cutadapt 3.4 Bowtie 2 version 2.3.0 STAR version 2.5.3a
DOI: 10.5281/zenodo.5834033
title: GRAND-SLAM analysis of SARS-CoV-2 data from Finkel et al., Nature 2021 (https://www.nature.com/articles/s41586-021-03610-3)

description: This is the processed SLAM-seq data from Finkel et al., Nature 2021 (https://www.nature.com/articles/s41586-021-03610-3). The zip file contains the full output from the processing pipeline (including the mapped reads, the scripts to run the pipeline and the output). The json file is required if you want to start from scratch. The file sars.tsv.gz is the GRAND-SLAM output table. To generate the GRAND-SLAM output yourself, first prepare the human (ensembl v90) and the SARS-CoV-2 genome (NC_045512). Then run: <pre><code class="language-bash">gedi -e Slam -trim5p 15 -reads sars.cit -genomic h.ens90 SARS-CoV2 -prefix grandslam_t15/sars -plot -progress </code></pre> To generate the cit file you have to modify the first lines in start.bash to match the paths on your file system, and then run it. You can also start from scratch (i.e., the json file): Prepare the human genome (ensembl v90), the SARS-CoV-2 genome (NC_045512), the human rRNA sequence (U13369.1), and the Mycoplasma hominis sequence Prepare the joint STAR index for the human and virus genome by calling gedi -e GenomicUtils -p -m star -g h.ens90 SARS-CoV2 Modify the starindex entry in the json file to match your file system Run: gedi -e Pipeline -r parallel -j sars.json rnaseq_mapping.sh report.sh grandslam.sh Software versions: gedi toolkit 1.0.4 GRAND-SLAM 2.0.7 cutadapt 3.4 Bowtie 2 version 2.3.0 STAR version 2.5.3a