cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.4733982
title: A Novel and Efficient Approach for Evaporation Reduction in Water Reservoirs

description: The used data in the paper
DOI: 10.5281/zenodo.4733981
title: A Novel and Efficient Approach for Evaporation Reduction in Water Reservoirs

description: The used data in the paper
DOI: 10.15468/qptmkn
title: The Acidocerinae (Coleoptera, Hydrophilidae): taxonomy, classification, and catalog of species

description: This dataset contains the digitized treatments in Plazi based on the original journal article Giron, Jennifer C., Short, Andrew Edward Z. (2021): The Acidocerinae (Coleoptera, Hydrophilidae): taxonomy, classification, and catalog of species. ZooKeys 1045: 1-236, DOI: http://dx.doi.org/10.3897/zookeys.1045.63810, URL: http://dx.doi.org/10.3897/zookeys.1045.63810
DOI: 10.24431/rw1k596
title: Fish and zooplankton condition metrics from Arctic IES collections in the Chukchi and Beaufort Seas during 2017-2019 and fish condition metrics from ASGARD collections in the Chukchi Sea during 2017-2018

description: These data are part of the Arctic IES and ASGARD program components of the Arctic Integrated Ecosystem Research Program (IERP), sponsored by the North Pacific Research Board (NPRB), Collaborative Alaskan Arctic Studies Program (formerly the North Slope Borough/Shell Baseline Studies Program), Bureau of Ocean Energy Management (BOEM), and the Office of Naval Research Marine Mammals and Biology Program. This dataset describes fish and zooplankton energetic data from samples collected during the ASGARD and Arctic IES cruises of NPRB's Arctic Integrated Ecosystem Research Program in 2017, 2018, and 2019. Priority fish species (gadids, salmon, forage fish, and flatfish) were retained from every station they were caught if sample sizes were great enough to share among PIs. Zooplankton for energetics analysis were retained by the Rapid Zooplankton Assessment (RZA) team, and were identified to RZA groupings. Energetics metrics were measured on whole fish in the analytical chemistry laboratories at the Ted Stevens Marine Research Institute in Juneau Alaska. Fish condition metrics include 1) energy density (kJ/g wet mass), 2) % moisture, 3) % lipid (wet mass) , and 4) % protein. Percent lipid (dry mass) of zooplankton was measured. Data are archived in two separate csv files for the fish and zooplankton.
DOI: 10.5281/zenodo.3975834
title: Recombination detection program (RDP4) results for ACMV and ACMBFV DNA-B

description: A DNA-B multiple alignment (Zenodo record 3964979) was scanned with RDP4.100 (D. Martin et al. 2015). No events had statistical support from more than 4 of the 7 methods used to scan for signals of recombination. These results are described in a paper by Crespo-Bellido et al. (2021) https://doi.org/10.1128/JVI.00541-21
DOI: 10.5281/zenodo.3975833
title: Recombination detection program (RDP4) results for ACMV and ACMBFV DNA-B

description: A DNA-B multiple alignment (Zenodo record 3964979) was scanned with RDP4.100 (D. Martin et al. 2015). No events had statistical support from more than 4 of the 7 methods used to scan for signals of recombination. These results are described in a paper by Crespo-Bellido et al. (2021) https://doi.org/10.1128/JVI.00541-21
DOI: 10.5281/zenodo.3965029
title: Recombination detection program (RDP4) results for EACMV-like DNA-B sequences (7 "species")

description: A DNA-B multiple alignment (Zenodo record 3965023) was scanned with RDP4.97 (D. Martin et al. 2015). The input sequences belong to 7 “species”: CMMGV, EACMCV, EACMV, EACMKV, EACMMV, EACMZV, SACMV. Recombination breakpoints for events with statistical support from at least 5 of 7 methods were adjusted per the manual. These events were explicitly accepted, with the exception of one event which lost significance after adjustment of breakpoints. A CSV file with the results was exported and then saved a second time with Excel to normalize format (a comma in between every column). These results are described in a paper by Crespo-Bellido et al. (2021) https://doi.org/10.1128/JVI.00541-21
DOI: 10.5281/zenodo.3965028
title: Recombination detection program (RDP4) results for EACMV-like DNA-B sequences (7 "species")

description: A DNA-B multiple alignment (Zenodo record 3965023) was scanned with RDP4.97 (D. Martin et al. 2015). The input sequences belong to 7 “species”: CMMGV, EACMCV, EACMV, EACMKV, EACMMV, EACMZV, SACMV. Recombination breakpoints for events with statistical support from at least 5 of 7 methods were adjusted per the manual. These events were explicitly accepted, with the exception of one event which lost significance after adjustment of breakpoints. A CSV file with the results was exported and then saved a second time with Excel to normalize format (a comma in between every column). These results are described in a paper by Crespo-Bellido et al. (2021) https://doi.org/10.1128/JVI.00541-21
DOI: 10.5517/ccdc.csd.cc25ccsq
title: CCDC 2006933: Experimental Crystal Structure Determination

description: Related Article: Priyadarshini Mishra, Nayim Sepay, Niranjan Panda|2021|Tetrahedron Lett.|75|153206|doi:10.1016/j.tetlet.2021.153206
DOI: 10.5517/ccdc.csd.cc27kmr6
title: CCDC 2072528: Experimental Crystal Structure Determination

description: Related Article: Amaç Fatih Tuyun, Nilüfer Bayrak, Hatice Yıldırım, Mahmut Yıldız, Emel Mataracı-Kara, Berna Ozbek-Celik|2021|J.Mol.Struct.|1242|130812|doi:10.1016/j.molstruc.2021.130812
DOI: 10.5517/ccdc.csd.cc26h15y
title: CCDC 2040239: Experimental Crystal Structure Determination

description: Related Article: Desissa Yadeta Muleta, Jiawei Song, Wenhui Feng, Ruitao Wu, Xueqin Zhou, Wei Li, Lichang Wang, Dongzhi Liu, Tianyang Wang, Wenping Hu|2021|J.Mater.Chem.C|9|5093|doi:10.1039/D1TC00706H
description: Related Article: Jiawei Song, Desissa Yadeta Muleta, Wenhui Feng, Yakun Song, Xueqin Zhou, Wei Li, Lichang Wang, Dongzhi Liu, Tianyang Wang, Wenping Hu|2021|Dyes Pigm.|193|109501|doi:10.1016/j.dyepig.2021.109501
DOI: 10.5281/zenodo.4926651
title: Prediction of Anemia and Estimation of Hemoglobin Concentration Using a Smartphone Camera

description: This is a prospective convenience sample study conducted in Emergency Department (ED) patients of an academic teaching hospital. In an algorithm derivation phase, images of both conjunctiva were obtained from 142 patients in Phase 1 using a smartphone in addition to their measured hemoglobin via venipuncture. A region of interest targeting the palpebral conjunctiva was selected from each image. Image-based parameters were extracted and used in stepwise regression analyses to develop a prediction model of estimated hemoglobin from conjunctiva imaging (HBc). These data are in "eye_long_modeling 08JUN2021". In Phase 2, a validation model was constructed using data from 202 new ED patients, and their true hemoglobin values, found in file "clinical_set_lo_validation 08JUN2021". The final model based on all 344 patients was tested for accuracy in anemia and transfusion thresholds. Hemoglobin concentration ranged from 4.7 to 19.6 g/dL (mean 12.5).
DOI: 10.5281/zenodo.4926650
title: Prediction of Anemia and Estimation of Hemoglobin Concentration Using a Smartphone Camera

description: This is a prospective convenience sample study conducted in Emergency Department (ED) patients of an academic teaching hospital. In an algorithm derivation phase, images of both conjunctiva were obtained from 142 patients in Phase 1 using a smartphone in addition to their measured hemoglobin via venipuncture. A region of interest targeting the palpebral conjunctiva was selected from each image. Image-based parameters were extracted and used in stepwise regression analyses to develop a prediction model of estimated hemoglobin from conjunctiva imaging (HBc). These data are in "eye_long_modeling 08JUN2021". In Phase 2, a validation model was constructed using data from 202 new ED patients, and their true hemoglobin values, found in file "clinical_set_lo_validation 08JUN2021". The final model based on all 344 patients was tested for accuracy in anemia and transfusion thresholds. Hemoglobin concentration ranged from 4.7 to 19.6 g/dL (mean 12.5).
DOI: 10.5281/zenodo.3934350
title: LDhat coalescent likelihood lookup table for 320 sequences with theta = 0.01

description: The LDhat `complete` tool uses the method of Fearnhead and Donnelly (2001) to calculate coalescent likelihoods (via importance sampling) for all possible two-locus haplotype configurations for a given number of sequences for a grid of recombination rate (rho) values. See the LDhat documentation. We considered the case of 320 sequences, for which there are 708400 configurations. Generating this table was computationally expensive (approximately 60,000 CPU hours), hence the interest in sharing it for reuse. The included sbatch job script illustrates how the computations were done (with GNU Parallel). The script could be adapted to compute a similar table on Linux clusters that use Slurm for cluster management/job scheduling.
DOI: 10.5281/zenodo.3934349
title: LDhat coalescent likelihood lookup table for 320 sequences with theta = 0.01

description: The LDhat `complete` tool uses the method of Fearnhead and Donnelly (2001) to calculate coalescent likelihoods (via importance sampling) for all possible two-locus haplotype configurations for a given number of sequences for a grid of recombination rate (rho) values. See the LDhat documentation. We considered the case of 320 sequences, for which there are 708400 configurations. Generating this table was computationally expensive (approximately 60,000 CPU hours), hence the interest in sharing it for reuse. The included sbatch job script illustrates how the computations were done (with GNU Parallel). The script could be adapted to compute a similar table on Linux clusters that use Slurm for cluster management/job scheduling.
DOI: 10.5281/zenodo.3964979
title: Multiple alignment of ACMV and ACMBFV DNA-B sequences

description: All sequences available in GenBank as of 2019-06-03 were downloaded via the Taxonomy Browser interface. Sequence names were normalized/simplified and orientations of these circular sequences were standardized to begin at the replication origin nick site. Sequences were aligned with MUSCLE and alignments were adjusted with SeAl (A. Rambaut) and AliView (A. Larsson). These results are described in a paper by Crespo-Bellido et al. (2021) https://doi.org/10.1128/JVI.00541-21
DOI: 10.5281/zenodo.3964978
title: Multiple alignment of ACMV and ACMBFV DNA-B sequences

description: All sequences available in GenBank as of 2019-06-03 were downloaded via the Taxonomy Browser interface. Sequence names were normalized/simplified and orientations of these circular sequences were standardized to begin at the replication origin nick site. Sequences were aligned with MUSCLE and alignments were adjusted with SeAl (A. Rambaut) and AliView (A. Larsson). These results are described in a paper by Crespo-Bellido et al. (2021) https://doi.org/10.1128/JVI.00541-21
DOI: 10.5281/zenodo.3965023
title: Multiple alignment of DNA-B sequences from CMMGV, EACMCV, EACMV, EACMKV, EACMMV, EACMZV, SACMV (7 "species")

description: All sequences available in GenBank as of 2019-06-03 were downloaded via the Taxonomy Browser interface. Sequence names were normalized/simplified and orientations of these circular sequences were standardized to begin at the replication origin nick site. Sequences were aligned with MUSCLE and alignments were adjusted with SeAl (A. Rambaut) and AliView (A. Larsson). These results are described in a paper by Crespo-Bellido et al. (2021) https://doi.org/10.1128/JVI.00541-21
DOI: 10.5281/zenodo.3965022
title: Multiple alignment of DNA-B sequences from CMMGV, EACMCV, EACMV, EACMKV, EACMMV, EACMZV, SACMV (7 "species")

description: All sequences available in GenBank as of 2019-06-03 were downloaded via the Taxonomy Browser interface. Sequence names were normalized/simplified and orientations of these circular sequences were standardized to begin at the replication origin nick site. Sequences were aligned with MUSCLE and alignments were adjusted with SeAl (A. Rambaut) and AliView (A. Larsson). These results are described in a paper by Crespo-Bellido et al. (2021) https://doi.org/10.1128/JVI.00541-21
DOI: 10.5281/zenodo.3965025
title: Multiple alignment of DNA-B sequences from EACMV, EACMKV, EACMMV, EACMZV, SACMV (5 "species")

description: All sequences available in GenBank as of 2019-06-03 were downloaded via the Taxonomy Browser interface. Sequence names were normalized/simplified and orientations of these circular sequences were standardized to begin at the replication origin nick site. Sequences were aligned with MUSCLE and alignments were adjusted with SeAl (A. Rambaut) and AliView (A. Larsson). These results are described in a paper by Crespo-Bellido et al. (2021) https://doi.org/10.1128/JVI.00541-21
DOI: 10.5281/zenodo.3965024
title: Multiple alignment of DNA-B sequences from EACMV, EACMKV, EACMMV, EACMZV, SACMV (5 "species")

description: All sequences available in GenBank as of 2019-06-03 were downloaded via the Taxonomy Browser interface. Sequence names were normalized/simplified and orientations of these circular sequences were standardized to begin at the replication origin nick site. Sequences were aligned with MUSCLE and alignments were adjusted with SeAl (A. Rambaut) and AliView (A. Larsson). These results are described in a paper by Crespo-Bellido et al. (2021) https://doi.org/10.1128/JVI.00541-21
DOI: 10.5281/zenodo.3964977
title: Multiple alignment of ICMV and SLCMV DNA-B sequences

description: All sequences available in GenBank as of 2019-06-03 were downloaded via the Taxonomy Browser interface. Sequence names were normalized/simplified and orientations of these circular sequences were standardized to begin at the replication origin nick site. Sequences were aligned with MUSCLE and alignments were adjusted with SeAl and AliView. Note added 2020-09-07: AJ575821 is listed in the file as ICMV based on its assignment in the NCBI Taxonomy database (taxa 341701 and 31600) but it is better classified as SLCMV. These results are described in a paper by Crespo-Bellido et al. (2021) https://doi.org/10.1128/JVI.00541-21
DOI: 10.5281/zenodo.3964976
title: Multiple alignment of ICMV and SLCMV DNA-B sequences

description: All sequences available in GenBank as of 2019-06-03 were downloaded via the Taxonomy Browser interface. Sequence names were normalized/simplified and orientations of these circular sequences were standardized to begin at the replication origin nick site. Sequences were aligned with MUSCLE and alignments were adjusted with SeAl and AliView. Note added 2020-09-07: AJ575821 is listed in the file as ICMV based on its assignment in the NCBI Taxonomy database (taxa 341701 and 31600) but it is better classified as SLCMV. These results are described in a paper by Crespo-Bellido et al. (2021) https://doi.org/10.1128/JVI.00541-21
DOI: 10.24431/rw1k597
title: Demersal Trawl Fish Dataset, Arctic Integrated Ecosystem Research Program, June 2017

description: These data are part of the ASGARD component of the Arctic Integrated Ecosystem Research Program (IERP), sponsored by the North Pacific Research Board (NPRB), Collaborative Alaskan Arctic Studies Program (formerly the North Slope Borough/Shell Baseline Studies Program), Bureau of Ocean Energy Management (BOEM), and the Office of Naval Research Marine Mammals and Biology Program. To investigate the dynamics of the spring season in the northeastern Chukchi Sea, we conducted trawl surveys in June 2017 to explore fish abundance and life history parameters. Demersal fishes were targeted with a 3 m plumb-staff beam trawl, while pelagic fishes were targeted using an Isaacs-Kidd midwater trawl. Catches were processed (see methods). Files included in this dataset are as follows: Pelagic: Trawl Deployment Data, File Name: "201x_ASGARD_Chukchi_IKMT_haul_Norcross_MONYEAR.csv" Catch Data, File Name: "201x_ASGARD_Chukchi_IKMT_catch_Norcross_MONYEAR.csv" Fish Lab Specimen Data, File Name: "201x_ASGARD_Chukchi_IKMT_indivfish_Norcross_MONYEAR.csv" Trawl Catch Photos, File Names: "ASGARD_201x_station_IKMT_haul.JPG" Demersal: Trawl Deployment Data, File Name: "201x_ASGARD_Chukchi_PSBTA_haul_Norcross_MONYEAR.csv" Catch Data, File Name: "201x_ASGARD_Chukchi_PSBTA_catch_Norcross_MONYEAR.csv" Fish Lab Specimen Data, File Name: "201x_ASGARD_Chukchi_PSBTA_indivfish_Norcross_MONYEAR.csv" Trawl Catch Photos, File Names: "ASGARD_201x_station_PSBTA_haul.JPG"
DOI: 10.24431/rw1k598
title: Pelagic Trawl Fish Dataset, Arctic Integrated Ecosystem Research Program, June 2017

description: These data are part of the ASGARD component of the Arctic Integrated Ecosystem Research Program (IERP), sponsored by the North Pacific Research Board (NPRB), Collaborative Alaskan Arctic Studies Program (formerly the North Slope Borough/Shell Baseline Studies Program), Bureau of Ocean Energy Management (BOEM), and the Office of Naval Research Marine Mammals and Biology Program. To investigate the dynamics of the spring season in the northeastern Chukchi Sea, we conducted trawl surveys in June 2017 to explore fish abundance and life history parameters. Demersal fishes were targeted with a 3 m plumb-staff beam trawl, while pelagic fishes were targeted using an Isaacs-Kidd midwater trawl. Catches were processed (see methods). Files included in this dataset are as follows: Pelagic: Trawl Deployment Data, File Name: "201x_ASGARD_Chukchi_IKMT_haul_Norcross_MONYEAR.csv" Catch Data, File Name: "201x_ASGARD_Chukchi_IKMT_catch_Norcross_MONYEAR.csv" Fish Lab Specimen Data, File Name: "201x_ASGARD_Chukchi_IKMT_indivfish_Norcross_MONYEAR.csv" Trawl Catch Photos, File Names: "ASGARD_201x_station_IKMT_haul.JPG" Demersal: Trawl Deployment Data, File Name: "201x_ASGARD_Chukchi_PSBTA_haul_Norcross_MONYEAR.csv" Catch Data, File Name: "201x_ASGARD_Chukchi_PSBTA_catch_Norcross_MONYEAR.csv" Fish Lab Specimen Data, File Name: "201x_ASGARD_Chukchi_PSBTA_indivfish_Norcross_MONYEAR.csv" Trawl Catch Photos, File Names: "ASGARD_201x_station_PSBTA_haul.JPG"
DOI: 10.24431/rw1k599
title: Pelagic Trawl Fish Dataset, Arctic Integrated Ecosystem Research Program, June 2018

description: These data are part of the ASGARD component of the Arctic Integrated Ecosystem Research Program (IERP), sponsored by the North Pacific Research Board (NPRB), Collaborative Alaskan Arctic Studies Program (formerly the North Slope Borough/Shell Baseline Studies Program), Bureau of Ocean Energy Management (BOEM), and the Office of Naval Research Marine Mammals and Biology Program. To investigate the dynamics of the spring season in the northeastern Chukchi Sea, we conducted trawl surveys in June 2017 to explore fish abundance and life history parameters. Demersal fishes were targeted with a 3 m plumb-staff beam trawl, while pelagic fishes were targeted using an Isaacs-Kidd midwater trawl. Catches were processed (see methods). Files included in this dataset are as follows: Pelagic: Trawl Deployment Data, File Name: "201x_ASGARD_Chukchi_IKMT_haul_Norcross_MONYEAR.csv" Catch Data, File Name: "201x_ASGARD_Chukchi_IKMT_catch_Norcross_MONYEAR.csv" Fish Lab Specimen Data, File Name: "201x_ASGARD_Chukchi_IKMT_indivfish_Norcross_MONYEAR.csv" Trawl Catch Photos, File Names: "ASGARD_201x_station_IKMT_haul.JPG" Demersal: Trawl Deployment Data, File Name: "201x_ASGARD_Chukchi_PSBTA_haul_Norcross_MONYEAR.csv" Catch Data, File Name: "201x_ASGARD_Chukchi_PSBTA_catch_Norcross_MONYEAR.csv" Fish Lab Specimen Data, File Name: "201x_ASGARD_Chukchi_PSBTA_indivfish_Norcross_MONYEAR.csv" Trawl Catch Photos, File Names: "ASGARD_201x_station_PSBTA_haul.JPG"
DOI: 10.24431/rw1k59a
title: Demersal Trawl Fish Dataset, Arctic Integrated Ecosystem Research Program, June 2018

description: These data are part of the ASGARD component of the Arctic Integrated Ecosystem Research Program (IERP), sponsored by the North Pacific Research Board (NPRB), Collaborative Alaskan Arctic Studies Program (formerly the North Slope Borough/Shell Baseline Studies Program), Bureau of Ocean Energy Management (BOEM), and the Office of Naval Research Marine Mammals and Biology Program. To investigate the dynamics of the spring season in the northeastern Chukchi Sea, we conducted trawl surveys in June 2017 to explore fish abundance and life history parameters. Demersal fishes were targeted with a 3 m plumb-staff beam trawl, while pelagic fishes were targeted using an Isaacs-Kidd midwater trawl. Catches were processed (see methods). Files included in this dataset are as follows: Pelagic: Trawl Deployment Data, File Name: "201x_ASGARD_Chukchi_IKMT_haul_Norcross_MONYEAR.csv" Catch Data, File Name: "201x_ASGARD_Chukchi_IKMT_catch_Norcross_MONYEAR.csv" Fish Lab Specimen Data, File Name: "201x_ASGARD_Chukchi_IKMT_indivfish_Norcross_MONYEAR.csv" Trawl Catch Photos, File Names: "ASGARD_201x_station_IKMT_haul.JPG" Demersal: Trawl Deployment Data, File Name: "201x_ASGARD_Chukchi_PSBTA_haul_Norcross_MONYEAR.csv" Catch Data, File Name: "201x_ASGARD_Chukchi_PSBTA_catch_Norcross_MONYEAR.csv" Fish Lab Specimen Data, File Name: "201x_ASGARD_Chukchi_PSBTA_indivfish_Norcross_MONYEAR.csv" Trawl Catch Photos, File Names: "ASGARD_201x_station_PSBTA_haul.JPG"
DOI: 10.5517/ccdc.csd.cc27pv2w
title: CCDC 2076568: Experimental Crystal Structure Determination

description: Related Article: Rakesh Kumar, Raman Kumar, Ramesh Kataria, Subash C. Sahoo, Prasant K. Nanda|2021|J.Mol.Struct.|1243|130817|doi:10.1016/j.molstruc.2021.130817
DOI: 10.5517/ccdc.csd.cc27pv3x
title: CCDC 2076569: Experimental Crystal Structure Determination

description: Related Article: Rakesh Kumar, Raman Kumar, Ramesh Kataria, Subash C. Sahoo, Prasant K. Nanda|2021|J.Mol.Struct.|1243|130817|doi:10.1016/j.molstruc.2021.130817
DOI: 10.25739/vf8r-z736
title: DIRT/3D models

description: 3D Point cloud data of maize roots
DOI: 10.5517/ccdc.csd.cc26rm0m
title: CCDC 2048480: Experimental Crystal Structure Determination

description: Related Article: Raja Pal, Suyeon Kim, Woojong Lee, Matthew R. Mena, Afshan Khurshid, Chandrani Ghosh, Thomas L. Groy, Andrew V. G. Chizmeshya, Mu-Hyun Baik, Ryan J. Trovitch|2021|Inorg.Chem.|60|7708|doi:10.1021/acs.inorgchem.1c00003
DOI: 10.5517/ccdc.csd.cc26rm1n
title: CCDC 2048481: Experimental Crystal Structure Determination

description: Related Article: Raja Pal, Suyeon Kim, Woojong Lee, Matthew R. Mena, Afshan Khurshid, Chandrani Ghosh, Thomas L. Groy, Andrew V. G. Chizmeshya, Mu-Hyun Baik, Ryan J. Trovitch|2021|Inorg.Chem.|60|7708|doi:10.1021/acs.inorgchem.1c00003
DOI: 10.5517/ccdc.csd.cc26rm2p
title: CCDC 2048482: Experimental Crystal Structure Determination

description: Related Article: Raja Pal, Suyeon Kim, Woojong Lee, Matthew R. Mena, Afshan Khurshid, Chandrani Ghosh, Thomas L. Groy, Andrew V. G. Chizmeshya, Mu-Hyun Baik, Ryan J. Trovitch|2021|Inorg.Chem.|60|7708|doi:10.1021/acs.inorgchem.1c00003
DOI: 10.5517/ccdc.csd.cc2747wj
title: CCDC 2059667: Experimental Crystal Structure Determination

description: Related Article: Zong-Wang Qiu, Bao Qiong Li, Hong-Fu Liu, Zhi-Qiang Zhu, Han-Peng Pan, Na Feng, Ai-Jun Ma, Jin-Bao Peng, Xiang-Zhi Zhang|2021|J.Org.Chem.|86|7490|doi:10.1021/acs.joc.1c00484
DOI: 10.5281/zenodo.4988741
title: Data from: Decentralizing cell-free RNA sensing with the use of low-cost cell extracts

description: Data and DNA sequences for the publication "Decentralizing cell-free RNA sensing with the use of low-cost cell extracts" (https://www.biorxiv.org/content/10.1101/2021.05.29.446205v1)
DOI: 10.5281/zenodo.4988740
title: Data from: Decentralizing cell-free RNA sensing with the use of low-cost cell extracts

description: Data and DNA sequences for the publication "Decentralizing cell-free RNA sensing with the use of low-cost cell extracts" (https://www.biorxiv.org/content/10.1101/2021.05.29.446205v1)
DOI: 10.6084/m9.figshare.14810640
title: Fig6_panel_d.csv

description: See published paper Fig 6 caption
DOI: 10.6084/m9.figshare.14810640.v1
title: Fig6_panel_d.csv

description: See published paper Fig 6 caption
DOI: 10.6084/m9.figshare.14810658
title: Fig1_panel_h_top_panel.csv

description: See published manuscript Figure 1 caption
DOI: 10.6084/m9.figshare.14810658.v1
title: Fig1_panel_h_top_panel.csv

description: See published manuscript Figure 1 caption