cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15482/usda.adc/1529450
title: Data from: Chromosome-scale Genome Assembly of Lewis Flax (Linum lewisii Pursh.)

description: Within this dataset:


Genome assembly of Linum lewisii (NDSU_LiLewi_1.0.fasta)
    *   First 9 scaffolds represent all 9 chromosomes (e.g. Scaffold_1 is Chromosome 1, Scaffold_9 is Chromosome 9)
    *   Remaining scaffolds are unplaced contigs
    *   4 scaffolds shorter than 200bp were removed (Scaffold_[1710-1713])
    *   Scaffold_919 was also removed due to identified contamination (a-proteobacteria)


RNA-Seq data for tissue grown in dark conditions

RNA-Seq data for tissue grown in light conditions
RNA-Seq data of meristem tissue grown in cold conditions
RNA-Seq data of pre-flower (developing bud) tissue
RNA-Seq data of flowering tissue
RNA-Seq data of post-flower (developing seed capsules) tissue
Raw Omni-C reads

Linum lewisii, a perennial blue flax native to North America, holds potential as a sustainable perennial crop for oilseed production due to its ecological adaptability, upright harvestable structure, nutritious seeds, and low insect and disease issues. Its native distribution spans a large geographic range, from the Pacific Coast to the Mississippi River, and from Alaska to Baja California. Tolerant to cold and drought conditions, this species is also important for native ecosystem rehabilitation. Its enhancement of soil health, support for pollinators, and carbon sequestration underscore its agricultural relevance.
This study presents a high-quality, chromosome-scale assembly of the L. lewisii (2n = 2x = 18) genome, derived from PacBio HiFi and Dovetail Omni-C sequencing of the “Maple Grove” variety. The initial assembly contained 642,903,787 base pairs across 2,924 scaffolds. Following HiRise scaffolding, the final assembly contained 643,041,835 base pairs, across 1,713 scaffolds, yielding an N50 contig length of 66,209,717 base pairs. Annotation of the assembly revealed 38,808 genes, including 37,599 protein-coding genes and 7,108 putative transposable elements. Analysis of synteny with other flax species revealed a striking number of chromosomal rearrangements. We also found an intriguing absence of the single-copy TSS1 gene in the L. lewisii genome, potentially linked to its transition from heterostyly to homostyly.
Taken together, these findings represent a significant advancement in our understanding of the Linum genus and provide a resource for future domestication efforts and basic research on Lewis flax.
DOI: 10.25422/azu.data.24036600
title: Publicly available datasets for the manuscript <i>RNA interference-mediated knockdown of genes involved in sugar transport and metabolism disrupts psyllid Bactericera cockerelli (Order: Hemiptera) gut physiology and results in high mortality</i>

description: This data was collected as part of the study entitled <i>RNA interference-mediated knockdown of genes involved in sugar transport and metabolism disrupts psyllid Bactericera cockerelli (Order: Hemiptera) gut physiology and results in high mortality</i> (authored by Neda Arad et al.) and includes qPCR-based analysis of gene expression and corresponding invertebrate mortality rates in response to RNAi-based biopesticide application.<i>For inquiries regarding the contents of this dataset, please contact the Corresponding Author listed in the README.txt file. Administrative inquiries (e.g., removal requests, trouble downloading, etc.) can be directed to data-management@arizona.edu</i>
DOI: 10.25422/azu.data.24036600.v1
title: Publicly available datasets for the manuscript <i>RNA interference-mediated knockdown of genes involved in sugar transport and metabolism disrupts psyllid Bactericera cockerelli (Order: Hemiptera) gut physiology and results in high mortality</i>

description: This data was collected as part of the study entitled <i>RNA interference-mediated knockdown of genes involved in sugar transport and metabolism disrupts psyllid Bactericera cockerelli (Order: Hemiptera) gut physiology and results in high mortality</i> (authored by Neda Arad et al.) and includes qPCR-based analysis of gene expression and corresponding invertebrate mortality rates in response to RNAi-based biopesticide application.<i>For inquiries regarding the contents of this dataset, please contact the Corresponding Author listed in the README.txt file. Administrative inquiries (e.g., removal requests, trouble downloading, etc.) can be directed to data-management@arizona.edu</i>
DOI: 10.18120/gbr1-p085
title: Test_Subproject
DOI: 10.48529/xkgz-dq81
title: High-Frequency Phone Survey 2020-2023
title: MWI_2020-2023_HFPS_v17_M
DOI: 10.48529/70pa-6c66
title: COVID-19 High Frequency Phone Survey of Households 2022
title: VNM_2022_HFPS-R7_v01_M
DOI: 10.48529/a34p-mc38
title: Post-Russian Invasion Survey of Smallholder Farmers 2022
title: UKR_2022_SSF_v01_M
DOI: 10.48529/47xz-zd24
title: Early Childhood Development for the Poor in Odisha Impact Evaluation, Midline Survey 2016-2017
title: IND_2016-2017_ECDPOIE-ML_v01_M
DOI: 10.48529/cr7p-eq86
title: Human Development Cash Transfer - Behavioral Work - Impact Evaluation 2016-2018
title: MDG_2016-2018_HDCTIE-BL-ML_v01_M
DOI: 10.48529/vk9e-9085
title: Project Jigifa Endline Survey 2016
title: MLI_2016_PJ-EL_v01_M
DOI: 10.48529/g872-4108
title: The Gains at Age 30 Years From the Supplementation and Stimulation Study 2017-2018
title: JAM_2017-2018_GATYFSSS_v01_M
DOI: 10.48529/q5q1-2a34
title: Integrated Household Panel Survey 2010-2013-2016-2019 (Long-Term Panel, 102 EAs)
title: MWI_2010-2019_IHPS_v06_M
DOI: 10.48529/5zn5-xr45
title: Reducing Irregular Migration Experiment and Replication Files
title: GMB_2019-2020_RIME_v01_M
DOI: 10.48529/f9zq-r326
title: High Frequency Phone Survey 2020-2023
title: ETH_2020-2023_HFPS_v11_M
DOI: 10.48529/v7ry-ng35
title: Projet Initiative de Renforcement des Services Scolaires 2014
title: HTI_2014_ESDSIE-EL_v02_M
DOI: 10.48529/nag7-bn13
title: Strengthening Teachers Accountability to Reach All Students Project Impact Evaluation, 2019
title: GHA_2019_STARSIE-EL_v01_M
DOI: 10.48529/68fz-d350
title: Ceara Teacher Feedback Program Impact Evaluation 2015
title: BRA_2015_CTFPIE-EL_v02_M
DOI: 10.48529/j0q1-vr77
title: COVID-19 National Panel Phone Survey 2021 - Wave 4 - Refugee Sample
title: DJI_2021_CNPPS-W4-ECV_v01_M
DOI: 10.21415/539z-wv44
title: AphasiaBank English Aphasia NEURAL-2 Corpus
DOI: 10.21415/typm-tj59
title: CHILDES Mandarin NSCtoys Corpus
DOI: 10.21415/3zne-hx03
title: CHILDES Czech Chromá Corpus
DOI: 10.21415/p2jb-ca45
title: FluencyBank English Purdue Corpus
DOI: 10.21415/524k-9g04
title: FluencyBank French Brejon Corpus
DOI: 10.21415/grp3-br15
title: FluencyBank English IISRP-New Corpus
DOI: 10.34740/kaggle/dsv/6378218
title: Global Population Trends(2016-2022)
DOI: 10.6084/m9.figshare.24052542
title: Retrospective evaluation of the impact of atropine administration on incidence of post-operative abdominal discomfort in healthy, isoflurane-anaesthetized horses

description: Raw data for retrospective evaluation.
DOI: 10.6084/m9.figshare.24052542.v1
title: Retrospective evaluation of the impact of atropine administration on incidence of post-operative abdominal discomfort in healthy, isoflurane-anaesthetized horses

description: Raw data for retrospective evaluation.
DOI: 10.5281/zenodo.8298827
title: 54019- Instream Flow Protection: SE- Phase 18

description: Streamflow data associated with AKSSF Project 54019- Instream Flow Protection: SE- Phase 18
DOI: 10.5281/zenodo.8298826
title: 54019- Instream Flow Protection: SE- Phase 18

description: Streamflow data associated with AKSSF Project 54019- Instream Flow Protection: SE- Phase 18
DOI: 10.18739/a2gx44w2m
title: Stand-level nitrogen and carbon cycling characteristics of larch forests across a tree density gradient in northeastern Siberia, 2010-2017

description: As climate warms, tree density at the taiga-tundra ecotone is expected to increase, which may intensify competition for belowground resources in this nitrogen (N) limited environment. To determine the impacts of increased tree density on N cycling and productivity we examined edaphic properties indicative of soil N availability along with aboveground and belowground tree-level traits and stand characteristics related to carbon (C) and N cycling across a tree density gradient of monodominant larch (Larix cajanderi) at the taiga-tundra ecotone in far northeastern Siberia. In this dataset, we characterized stand-level aboveground C and N cycling metrics in 26 stands across a tree density gradient of monodominant Cajander larch (Larix cajanderi) at the taiga-tundra ecotone in far northeastern Siberia. We calculated stand-level characteristics (i.e., C, N, and biomass pools, resorption, N uptake, N production, N residence time, N use efficiency). Our calculations are based on inventory data collected from 2010-2017 at the three plots located within each of the 26 stands. In brief, we measured diameter at breast height (≥ 1.4 meter (m) tall) or basal diameter (&lt; 1.4 m tall) for each live L. cajanderi tree within each plot (i.e., belt transect with larger area for lower density). Estimates of L. cajanderi aboveground biomass were based on allometric equations and production was based on the 10- year average ring-width measurements obtained from basal cores or disks ~ 30 centimeter (cm) above the forest floor from five to 10 trees per stand. Our calculation of C and N cycling metrics are based on these biomass and productivity values for individual trees and measurements of C and N content of tree tissues. We calculated stand-level metrics by summing the tree-level pool estimates for each stand.
DOI: 10.18739/a2416t11w
title: Broadband albedo measurements of the sea ice surface during the Multidisciplinary drifting Observatory for the Study of Arctic Climate (MOSAiC) campaign in the Central Arctic Ocean, April – September 2020

description: This dataset contains broadband albedo measurements made on the sea ice surface from approximately 1-meter (m) elevation during April – September 2020 as part of the Multidisciplinary drifting Observatory for the Study of Arctic Climate (MOSAiC) expedition in the Central Arctic Ocean. Measurements were made in three modes: (i) along ‘albedo lines’, between 60-200 meters (m) in length, with measurements every 5 meters (or 10 meters on leg 3), (ii) at specific ‘library sites,’ or (iii) ‘experiments’. Albedo lines were chosen with the aim of crossing representative surface conditions during the summer sea ice evolution, including snow-covered ridges, bare ice, and ponded ice. Included in the dataset are classification of the surface cover and depth for most measurements. Broadband albedo data was collected using a Kipp and Zonen albedometer. This dataset is collocated with the spectral albedo dataset (doi.org/10.18739/A2FT8DK8Z) and albedo photo dataset (doi.org/10.18739/A2B27PS3N).
DOI: 10.18739/a2wh2dg2c
title: Seasonal soil active layer measurements from a Circumpolar Active Layer monitoring (CALM) grid, (R30C) Tolbachinsky Pass, Russia. 2006-2020.

description: The Circumpolar Active Layer Monitoring (CALM) program represents the only coordinated program providing collection, standardization, open access, and dissemination of active-layer data world-wide. Widespread, systematic changes in the thickness of the active layer could have profound effects on the flux of greenhouse gases, on the human infrastructure in cold regions, and on landscape and hydrologic processes. It is therefore critical that observational and analytical procedures continue over decadal periods to assess trends and detect cumulative, long-term changes. This dataset contains active-layer observations conducted by the CALM program since the 1990s, supported by a series of National Science Foundation (NSF) awards. CALM program is an integral part of the Global Terrestrial Network for Permafrost. CALM 2020 data are significantly reduced due to pandemic-related travel restrictions. Available 2020 data are limited in terms of extent, and observations were not as controlled as previous years in terms of measurement timing or method, and therefore should be treated with caution.
DOI: 10.18739/a21834387
title: Seasonal soil active layer measurements from a Circumpolar Active Layer monitoring (CALM) grid, (R45) Kruglaya (Anadyr), Russia. 2010-2020.

description: The Circumpolar Active Layer Monitoring (CALM) program represents the only coordinated program providing collection, standardization, open access, and dissemination of active-layer data world-wide. Widespread, systematic changes in the thickness of the active layer could have profound effects on the flux of greenhouse gases, on the human infrastructure in cold regions, and on landscape and hydrologic processes. It is therefore critical that observational and analytical procedures continue over decadal periods to assess trends and detect cumulative, long-term changes. This dataset contains active-layer observations conducted by the CALM program since the 1990s, supported by a series of National Science Foundation (NSF) awards. CALM program is an integral part of the Global Terrestrial Network for Permafrost. CALM 2020 data are significantly reduced due to pandemic-related travel restrictions. Available 2020 data are limited in terms of extent, and observations were not as controlled as previous years in terms of measurement timing or method, and therefore should be treated with caution.
DOI: 10.18739/a2513tx26
title: Seasonal soil active layer measurements from a Circumpolar Active Layer monitoring (CALM) grid, (R11) Mount Dionisya, Chukotka, Russia. 1996-2020

description: The Circumpolar Active Layer Monitoring (CALM) program represents the only coordinated program providing collection, standardization, open access, and dissemination of active-layer data world-wide. Widespread, systematic changes in the thickness of the active layer could have profound effects on the flux of greenhouse gases, on the human infrastructure in cold regions, and on landscape and hydrologic processes. It is therefore critical that observational and analytical procedures continue over decadal periods to assess trends and detect cumulative, long-term changes. This dataset contains active-layer observations conducted by the CALM program since the 1990s, supported by a series of National Science Foundation (NSF) awards. CALM program is an integral part of the Global Terrestrial Network for Permafrost. CALM 2020 data are significantly reduced due to pandemic-related travel restrictions. Available 2020 data are limited in terms of extent, and observations were not as controlled as previous years in terms of measurement timing or method, and therefore should be treated with caution.
DOI: 10.18739/a28s4jq5j
title: Seasonal soil active layer measurements from a Circumpolar Active Layer monitoring (CALM) grid, (R9) Cape Rogozhny; Chukotka, Russia. 1994-2020

description: The Circumpolar Active Layer Monitoring (CALM) program represents the only coordinated program providing collection, standardization, open access, and dissemination of active-layer data world-wide. Widespread, systematic changes in the thickness of the active layer could have profound effects on the flux of greenhouse gases, on the human infrastructure in cold regions, and on landscape and hydrologic processes. It is therefore critical that observational and analytical procedures continue over decadal periods to assess trends and detect cumulative, long-term changes. This dataset contains active-layer observations conducted by the CALM program since the 1990s, supported by a series of National Science Foundation (NSF) awards. CALM program is an integral part of the Global Terrestrial Network for Permafrost. CALM 2020 data are significantly reduced due to pandemic-related travel restrictions. Available 2020 data are limited in terms of extent, and observations were not as controlled as previous years in terms of measurement timing or method, and therefore should be treated with caution.
DOI: 10.18739/a2df6k46c
title: Seasonal soil active layer measurements from a Circumpolar Active Layer monitoring (CALM) grid, (R38 C) Mount Rodinka (Station), 2003-2020.

description: The Circumpolar Active Layer Monitoring (CALM) program represents the only coordinated program providing collection, standardization, open access, and dissemination of active-layer data world-wide. Widespread, systematic changes in the thickness of the active layer could have profound effects on the flux of greenhouse gases, on the human infrastructure in cold regions, and on landscape and hydrologic processes. It is therefore critical that observational and analytical procedures continue over decadal periods to assess trends and detect cumulative, long-term changes. This dataset contains active-layer observations conducted by the CALM program since the 1990s, supported by a series of National Science Foundation (NSF) awards. CALM program is an integral part of the Global Terrestrial Network for Permafrost. CALM 2020 data are significantly reduced due to pandemic-related travel restrictions. Available 2020 data are limited in terms of extent, and observations were not as controlled as previous years in terms of measurement timing or method, and therefore should be treated with caution.
DOI: 10.18739/a2j678x9m
title: Seasonal soil active layer measurements from a Circumpolar Active Layer monitoring (CALM) grid, (R36) Andryushkino, Russia. 2005-2020.

description: The Circumpolar Active Layer Monitoring (CALM) program represents the only coordinated program providing collection, standardization, open access, and dissemination of active-layer data world-wide. Widespread, systematic changes in the thickness of the active layer could have profound effects on the flux of greenhouse gases, on the human infrastructure in cold regions, and on landscape and hydrologic processes. It is therefore critical that observational and analytical procedures continue over decadal periods to assess trends and detect cumulative, long-term changes. This dataset contains active-layer observations conducted by the CALM program since the 1990s, supported by a series of National Science Foundation (NSF) awards. CALM program is an integral part of the Global Terrestrial Network for Permafrost. CALM 2020 data are significantly reduced due to pandemic-related travel restrictions. Available 2020 data are limited in terms of extent, and observations were not as controlled as previous years in terms of measurement timing or method, and therefore should be treated with caution.
DOI: 10.18739/a2nz80r32
title: Seasonal soil active layer measurements from a Circumpolar Active Layer monitoring (CALM) grid, (R35) Omolon, Russia. 2007-2020.

description: The Circumpolar Active Layer Monitoring (CALM) program represents the only coordinated program providing collection, standardization, open access, and dissemination of active-layer data world-wide. Widespread, systematic changes in the thickness of the active layer could have profound effects on the flux of greenhouse gases, on the human infrastructure in cold regions, and on landscape and hydrologic processes. It is therefore critical that observational and analytical procedures continue over decadal periods to assess trends and detect cumulative, long-term changes. This dataset contains active-layer observations conducted by the CALM program since the 1990s, supported by a series of National Science Foundation (NSF) awards. CALM program is an integral part of the Global Terrestrial Network for Permafrost. CALM 2020 data are significantly reduced due to pandemic-related travel restrictions. Available 2020 data are limited in terms of extent, and observations were not as controlled as previous years in terms of measurement timing or method, and therefore should be treated with caution.
DOI: 10.18739/a2sq8qj89
title: Seasonal soil active layer measurements from a Circumpolar Active Layer monitoring (CALM) grid, (R25) Yakutskoe Lake, Russia. 1999-2020.

description: The Circumpolar Active Layer Monitoring (CALM) program represents the only coordinated program providing collection, standardization, open access, and dissemination of active-layer data world-wide. Widespread, systematic changes in the thickness of the active layer could have profound effects on the flux of greenhouse gases, on the human infrastructure in cold regions, and on landscape and hydrologic processes. It is therefore critical that observational and analytical procedures continue over decadal periods to assess trends and detect cumulative, long-term changes. This dataset contains active-layer observations conducted by the CALM program since the 1990s, supported by a series of National Science Foundation (NSF) awards. CALM program is an integral part of the Global Terrestrial Network for Permafrost. CALM 2020 data are significantly reduced due to pandemic-related travel restrictions. Available 2020 data are limited in terms of extent, and observations were not as controlled as previous years in terms of measurement timing or method, and therefore should be treated with caution.
DOI: 10.18739/a2xg9fc3j
title: Seasonal soil active layer measurements from a Circumpolar Active Layer monitoring (CALM) grid, (R22) Alazeya River, Russia. 1998-2020.

description: The Circumpolar Active Layer Monitoring (CALM) program represents the only coordinated program providing collection, standardization, open access, and dissemination of active-layer data world-wide. Widespread, systematic changes in the thickness of the active layer could have profound effects on the flux of greenhouse gases, on the human infrastructure in cold regions, and on landscape and hydrologic processes. It is therefore critical that observational and analytical procedures continue over decadal periods to assess trends and detect cumulative, long-term changes. This dataset contains active-layer observations conducted by the CALM program since the 1990s, supported by a series of National Science Foundation (NSF) awards. CALM program is an integral part of the Global Terrestrial Network for Permafrost. CALM 2020 data are significantly reduced due to pandemic-related travel restrictions. Available 2020 data are limited in terms of extent, and observations were not as controlled as previous years in terms of measurement timing or method, and therefore should be treated with caution.
DOI: 10.18739/a2280508g
title: Seasonal soil active layer measurements from a Circumpolar Active Layer monitoring (CALM) grid, (R21), Lake Akhmelo, Russia. 1996-2020.

description: The Circumpolar Active Layer Monitoring (CALM) program represents the only coordinated program providing collection, standardization, open access, and dissemination of active-layer data world-wide. Widespread, systematic changes in the thickness of the active layer could have profound effects on the flux of greenhouse gases, on the human infrastructure in cold regions, and on landscape and hydrologic processes. It is therefore critical that observational and analytical procedures continue over decadal periods to assess trends and detect cumulative, long-term changes. This dataset contains active-layer observations conducted by the CALM program since the 1990s, supported by a series of National Science Foundation (NSF) awards. CALM program is an integral part of the Global Terrestrial Network for Permafrost. CALM 2020 data are significantly reduced due to pandemic-related travel restrictions. Available 2020 data are limited in terms of extent, and observations were not as controlled as previous years in terms of measurement timing or method, and therefore should be treated with caution.