cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.c.3631289_d5.v1
title: Additional file 4: of Precise mapping of the transcription start sites of human microRNAs using DROSHA knockout cells

description: List of pri-miRNAs analyzed in this study. From the list of authentic miRNAs, which were established previously [20], the list of pri-miRNAs was generated based on the genomic locations of mature miRNAs. The pri-miRNAs were divided into two groups (A and B) depending on their overlap with protein-coding genes. By inspecting the RNA-seq data, the signal intensity was annotated as either ‘High’, ‘Low’, or ‘No’ (see Methods). (A) For intergenic pri-miRNAs with no overlap with protein-coding genes, the enrichment of RNA signals in the DROSHA knockout cells, compared to those in wild-type cells, was determined. Thirty-four pri-miRNAs that met our criteria are shown with bold letters. For the clustered miRNAs among the pri-miRNAs analyzed by RACE, the evidence of co-transcription was indicated with citations for 11 out of 20 clustered miRNAs. For six pri-miRNAs, we identified the expressed sequence tags (ESTs) with sequences spanning all miRNA members of each cluster and included the GenBank IDs of representative ESTs. For the remaining 3 miRNA clusters, we performed PCR experiments to confirm that the transcripts spanning all miRNA members are increased in the cDNA made from DROSHA knockout cells compared to that from wild-type cells. We included the results into Additional file 5. (B) For intronic miRNAs, which reside inside the introns of protein-coding genes, the accumulation of RNA signals at the miRNA-containing intron in the DROSHA knockout cells, compared to that in wild-type cells, was determined. (XLSX 17 kb)
DOI: 10.6084/m9.figshare.c.3631289_d6.v1
title: Additional file 10: of Precise mapping of the transcription start sites of human microRNAs using DROSHA knockout cells

description: The fold change values (DROSHA knockout / wild-type) of read counts for each exonic/intronic region of host genes of intronic miRNAs. (XLSX 12Â kb)
DOI: 10.17863/cam.105623
title: Data and code to generate figures for "Generating Symmetry-Protected Long-Range Entanglement (Dutta, Kuhr, Cooper)"

description: Graphs for all figures are provided along with codes that implement the results described in the paper. We simulate how a spin chain subject to timed local pulses develops long-range entanglement and how timed pulses can also drive a Hubbard chain to a maximally-correlated $\eta$-pairing state. All simulations are performed using exact diagonalization in Mathematica. In Figure 2 we obtain how the central-spin magnetization and the bipartite entanglement in an XY spin-1/2 chain evolves in time. We also obtain the distribution among symmetry sectors with different levels of entanglement and concurrence matrices that show the build-up of long-range Bell pairs. In Figure 3 we show how the result generalizes to larger systems and how the entanglement and preparation time scale with the system size. We also show how the protocol is not sensitive to random timing error of the pulses. In Figure 4 we calculate how the fidelity is affected by several types of imperfections, showing it is relatively robust. In Figure 7 we compute experimentally measurable spin-spin correlations at different stages of the protocol. In Figure 8 we calculate level statistics in the presence of integrability breaking and show that the scaling of entanglement and preparation time are largely unaffected. In Figure 5 we illustrate the protocol for $\eta$-pairing by simulating the evolution of a strongly-interacting, finite Hubbard chain. In Figure 6 we compute signatures of $eta$ pairing, including the average number of $\eta$ pairs, their momentum distribution, and the overlap with the maximally-correlated state as a function of system size.
DOI: 10.17863/cam.52533
title: Research data supporting "Duplo: A Framework for OCaml Post-Link Optimisation"

description: The Duplo framework and associated tests. Both sources and a qemu image are provided. See Readme files for further description and usage instructions.
DOI: 10.7294/26527978
title: Dangerous Harbor Project - Lancaster County - Reel 261 - Oaths of Allegiance, 1653-1850 - TIFFs 1-8

description: This dataset includes 8 TIFF files showing oaths of allegiance from Lancaster County in Virginia. They were created to have a record of the citizens of the county who renounced their loyalty to the British Crown post-Revolutionary War. These documents were collected in association with the Dangerous Harbor Project which used courthouse documents to identify escaped unfree laborers in the 17th century Chesapeake and the punishments associated with their escape. <br>To learn more about this project, please go to the Dangerous Harbor Website.
DOI: 10.7294/26527978.v1
title: Dangerous Harbor Project - Lancaster County - Reel 261 - Oaths of Allegiance, 1653-1850 - TIFFs 1-8

description: This dataset includes 8 TIFF files showing oaths of allegiance from Lancaster County in Virginia. They were created to have a record of the citizens of the county who renounced their loyalty to the British Crown post-Revolutionary War. These documents were collected in association with the Dangerous Harbor Project which used courthouse documents to identify escaped unfree laborers in the 17th century Chesapeake and the punishments associated with their escape. <br>To learn more about this project, please go to the Dangerous Harbor Website.
DOI: 10.17632/53wstddgwm.1
title: Factors Influencing the Use of Photovoltaic Energy by Brazilian Consumers.

description: All the answers of the questinnaire concerning research title Factors Influencing the Use of Photovoltaic Energy by Brazilian Consumers.
The research use the Theory of planned behavior as main literary framework and model, adopting the three factors: subjective norms, perceived behavioral control and consumer attitude. Others variables were included to adapt and better describe what influence the consumer to adopt photovoltaic energy in Brazil. The constructs added are trust, awareness, perceived risk, environmental concern and perceived cost. 
The opinions of 293 of a sample of 353 consumers from southeastern Brazil (the vast majority, 98,97%, from the state of São Paulo) who do not yet use photovoltaic energy, were evaluated. The questions were measured using a seven-point Likert scale. Also demographic questions were added.
DOI: 10.6084/m9.figshare.c.3631265_d13.v1
title: Additional file 2: Table S1. of Associations of genetic risk scores based on adult adiposity pathways with childhood growth and adiposity measures

description: List of SNPs included in the main BMI and WHR risk scores. (XLS 23Â kb)
DOI: 10.6084/m9.figshare.c.3631319_d3.v1
title: Additional file 3: Table S1. of Variation in ligand responses of the bitter taste receptors TAS2R1 and TAS2R4 among New World monkeys

description: Original statistical data for calcium assays. (XLSX 243 kb)
DOI: 10.6084/m9.figshare.c.3631331_d1.v1
title: MOESM1 of Hepatocyte growth factor in cerebrospinal fluid differentiates community-acquired or nosocomial septic meningitis from other causes of pleocytosis

description: Additional file 1. In the Supplemental Material Section an Excel file with detailed information about the cases included in the study is presented.
DOI: 10.6084/m9.figshare.c.3631343_d1.v1
title: MOESM1 of Enhancement of astaxanthin production in Xanthophyllomyces dendrorhous by efficient method for the complete deletion of genes

description: Additional file 1. DNA seuence of primers used in this study.
DOI: 10.15468/dl.afjrvr
title: Occurrence Download

description: A dataset containing 276 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "TaxonKey is Calligonum mongolicum Turcz."
 ]
}

 The dataset includes 276 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0037871-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.c.3631352_d1.v1
title: Additional file 1: of Patients with longstanding ulcerative colitis in remission do not have more irritable bowel syndrome-like symptoms than controls

description: The identities of all subjects are protected in the supporting data set and the file contain data on all parameters included in the manuscript. (XLS 53 kb)
DOI: 10.6084/m9.figshare.c.3631349_d2.v1
title: Additional file 2: of Opportunities and challenges in incorporating ancillary studies into a cancer prevention randomized clinical trial

description: Participating IRBs on SELECT. (XLS 81 kb)
DOI: 10.7294/26528032
title: Dangerous Harbor Project - Lancaster County - Reel 261 - Suits Involving Negroes, 1653-1850 - TIFFs 1-28

description: This dataset includes 28 TIFF files showing suits involving negroes from Lancaster County in Virginia. These documents were collected in association with the Dangerous Harbor Project which used courthouse documents to identify escaped unfree laborers in the 17th century Chesapeake and the punishments associated with their escape. To learn more about this project, please go to the Dangerous Harbor Website.
DOI: 10.7294/26528032.v1
title: Dangerous Harbor Project - Lancaster County - Reel 261 - Suits Involving Negroes, 1653-1850 - TIFFs 1-28

description: This dataset includes 28 TIFF files showing suits involving negroes from Lancaster County in Virginia. These documents were collected in association with the Dangerous Harbor Project which used courthouse documents to identify escaped unfree laborers in the 17th century Chesapeake and the punishments associated with their escape. To learn more about this project, please go to the Dangerous Harbor Website.
DOI: 10.17863/cam.31653
title: Data for long-term mechanical behaviour of harp strings

description: Musical strings of synthetic polymer and natural gut have been tested to establish their long-term mechanical and thermal properties. A previous dataset contained the detailed results for nylon string, this dataset contains corresponding data on fluorocarbon and gut strings.
DOI: 10.6084/m9.figshare.c.3631412_d1.v1
title: Additional file 1: of Multimodal evoked potentials for functional quantification and prognosis in multiple sclerosis

description: Raw demographical, clinical and electrophysiological data of the 100 MS patients obtained at T0 and T1. (XLSX 362 kb)
DOI: 10.6084/m9.figshare.c.3631418_d1.v1
title: MOESM1 of Rationale and design of a multicenter randomized study for evaluating vascular function under uric acid control using the xanthine oxidase inhibitor, febuxostat: the PRIZE study

description: Additional file 1. Trial organization.
DOI: 10.17863/cam.40398
title: Research data supporting "Design Strategies for Efficient Access to Mobile Device Users via Amazon Mechanical Turk"

description: This file contains the complete dataset collected by the three experiments described in the companion paper, in Microsoft Excel (XLSX) format. The workbook contains a data keys sheet explaining any abbreviations, annotations, and labels used throughout the datafile, followed by a sheet for each of the experiments. The file has been verified to open in Microsoft Excel (https://products.office.com/excel) and Libre Office (https://www.libreoffice.org)
DOI: 10.7294/26528044
title: Dangerous Harbor Project - Lancaster County - Reel 261 - Tobacco Records, 1653-1850 - TIFFs 1-50

description: This dataset includes 50 TIFF files showing tobacco records from Lancaster County in Virginia. They were created to document the production and storage of the cash crop. These documents were collected in association with the Dangerous Harbor Project which used courthouse documents to identify escaped unfree laborers in the 17th century Chesapeake and the punishments associated with their escape. To learn more about this project, please go to the Dangerous Harbor Website.
DOI: 10.7294/26528044.v1
title: Dangerous Harbor Project - Lancaster County - Reel 261 - Tobacco Records, 1653-1850 - TIFFs 1-50

description: This dataset includes 50 TIFF files showing tobacco records from Lancaster County in Virginia. They were created to document the production and storage of the cash crop. These documents were collected in association with the Dangerous Harbor Project which used courthouse documents to identify escaped unfree laborers in the 17th century Chesapeake and the punishments associated with their escape. To learn more about this project, please go to the Dangerous Harbor Website.
DOI: 10.17863/cam.91052
title: Research data supporting "On the role of C₄ and C₅ products in electrochemical CO₂ reduction via copper-based catalysts"

description: Raw data from GC-MS of eCO2R-GDE at different applied potentials (from 2.0V to 5.0V) as discussed in associated paper along 3 reference experiments with C-13 instead of C-12, N2 instead of CO2, and carbon paper instead of Cu electrode respectively. Details and data analysis are provided in Supplementary Information of associated paper.
DOI: 10.17863/cam.22237
title: Research data supporting the paper "On the manifestation of electron-electron interactions in the thermoelectric response of semicrystalline conjugated polymers with low energetic disorder"

description: Here, we present the data underlying the paper "On the manifestation of electron-electron interactions in the thermoelectric response of semicrystalline conjugated polymers with low energetic disorder" accepted at Communications Physics on 26 March 2018. For contributions of the authors to the data and experimental details, please refer to the original paper.
DOI: 10.6084/m9.figshare.c.3631466_d3.v1
title: Additional file 1: of Trajectories of eating behaviors in a nationally representative cohort of U.S. adolescents during the transition to young adulthood

description: “Estimates (β ± SE) from linear generalized estimating equation models examining associations of eating behavior trends over time by baseline weight status”, contains results from models examining eating behavior trends by baseline weight status. (XLSX 10 kb)
DOI: 10.6084/m9.figshare.c.3631496_d1.v1
title: Additional file 3: of What are the non-food impacts of GM crop cultivation on farmersâ   health?

description: Appendix 1. Data extraction.
DOI: 10.15468/dl.9fhjqm
title: Occurrence Download

description: A dataset containing 100 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "TaxonKey is Atraphaxis bracteata Losinsk."
 ]
}

 The dataset includes 100 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0037873-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.c.3631505_d1.v1
title: Additional file 8: Table S4. of Human milk microbiota profiles in relation to birthing method, gestation and infant gender

description: Summary of taxonomic results and full length V6 16S rRNA sequence of each operational taxonomic unit (OTU). (XLSX 35 kb)
DOI: 10.25378/janelia.24255811
title: Manual organelle segmentations (crop192) in near-isotropic, reconstructed volume electron microscopy (FIB-SEM) of (jrc_ut21-1413-003)

description: <b>This acquisition is part of the CellMap 2024 Segmentation Challenge</b><br><br>- <b>Challenge DOI:</b> https://doi.org/10.25378/janelia.c.7456966<br><br>- <b>Challenge Website:</b> https://cellmapchallenge.janelia.org/<br><br><b>Annotation description</b>: Dense segmentations of extracellular space, plasma membrane, vesicle membrane, endosome membrane, vesicle lumen, endoplasmic reticulum lumen, endoplasmic reticulum membrane, endosome lumen, cytosol, endosome, vesicle, endoplasmic reticulum, cell, endoplasmic reticulum membrane collective in jrc_ut21-1413-003 using Amira 3D 2021.1, Classic Segmentation Workroom and the 'Using Amira to manually segment organelles in vEM for machine learning V.3' annotation protocol.<br><br><b>Annotation ID</b>: crop192<br><br><b>Primary Annotator</b>: Alyson Petruncio<br><br><b>Annotation protocol</b>: Using Amira to manually segment organelles in vEM for machine learning V.3 (http://dx.doi.org/10.17504/protocols.io.bp2l61rb5vqe/v3)<br><br><b>Software</b>: Amira 3D 2021.1, Classic Segmentation Workroom<br><br><b>Annotated voxel size (nm)</b>: 4 x 4 x 4 (x, y, z)<br><br><b>Annotated data dimensions (µm)</b>: 1.6 x 1.6 x 1.6 (x, y, z)<br><br><b>Annotated data offset (nm)</b>: 48326 x 36286 x 55718 (x, y, z)<br><br><b>Classes annotated</b>: extracellular space, plasma membrane, vesicle membrane, endosome membrane, vesicle lumen, endoplasmic reticulum lumen, endoplasmic reticulum membrane, endosome lumen, cytosol, endosome, vesicle, endoplasmic reticulum, cell, endoplasmic reticulum membrane collective<br><br><b>Dataset URL</b>: s3://janelia-cosem-datasets/jrc_ut21-1413-003/jrc_ut21-1413-003.zarr/recon-1/labels/groundtruth/crop192<br><br><b>Source (EM) dataset ID</b>: jrc_ut21-1413-003<br><br><b>Source (EM) voxel size (nm)</b>: 8 x 8 x 8 (x, y, z)<br><br><b>Source (EM) data dimensions (µm)</b>: 130.42 x 91.22 x 121.19 (x, y, z)<br><br><b>Source (EM) DOI</b>: https://doi.org/10.25378/janelia.27075529<br><br><b>Visualization website</b>: https://openorganelle.janelia.org/datasets/jrc_ut21-1413-003<br><br><b>Publication:</b> <i>CellMap Segmentation Challenge,</i> 2024.<br><br><b>The CellMap Project Team during this time consisted of:</b> David Ackerman, Davis Bennett, Marley Bryant, Hannah Nguyen, Grace Park, Alyson Petruncio, Alannah Post, Jacquelyn Price, Diana Ramirez, Jeff Rhoades, Rebecca Vorimo, Aubrey Weigel, Marwan Zouinkhi, Yurii Zubov.<br><br><b>The CellMap Project Team Steering Committee during this time consisted of:</b> Misha Ahrens, Christopher Beck, Teng-Leong Chew, Daniel Feliciano, Jan Funke, Harald Hess, Wyatt Korff, Jennifer Lippincott-Schwartz, Zhe J. Liu, Kayvon Pedram, Stephan Preibisch, Stephan Saalfeld, Ronald Vale, and Aubrey Weigel.
DOI: 10.25378/janelia.24255811.v1
title: Manual organelle segmentations (crop192) in near-isotropic, reconstructed volume electron microscopy (FIB-SEM) of (jrc_ut21-1413-003)

description: <b>This acquisition is part of the CellMap 2024 Segmentation Challenge</b><br><br>- <b>Challenge DOI:</b> https://doi.org/10.25378/janelia.c.7456966<br><br>- <b>Challenge Website:</b> https://cellmapchallenge.janelia.org/<br><br><b>Annotation description</b>: Dense segmentations of extracellular space, plasma membrane, vesicle membrane, endosome membrane, vesicle lumen, endoplasmic reticulum lumen, endoplasmic reticulum membrane, endosome lumen, cytosol, endosome, vesicle, endoplasmic reticulum, cell, endoplasmic reticulum membrane collective in jrc_ut21-1413-003 using Amira 3D 2021.1, Classic Segmentation Workroom and the 'Using Amira to manually segment organelles in vEM for machine learning V.3' annotation protocol.<br><br><b>Annotation ID</b>: crop192<br><br><b>Primary Annotator</b>: Alyson Petruncio<br><br><b>Annotation protocol</b>: Using Amira to manually segment organelles in vEM for machine learning V.3 (http://dx.doi.org/10.17504/protocols.io.bp2l61rb5vqe/v3)<br><br><b>Software</b>: Amira 3D 2021.1, Classic Segmentation Workroom<br><br><b>Annotated voxel size (nm)</b>: 4 x 4 x 4 (x, y, z)<br><br><b>Annotated data dimensions (µm)</b>: 1.6 x 1.6 x 1.6 (x, y, z)<br><br><b>Annotated data offset (nm)</b>: 48326 x 36286 x 55718 (x, y, z)<br><br><b>Classes annotated</b>: extracellular space, plasma membrane, vesicle membrane, endosome membrane, vesicle lumen, endoplasmic reticulum lumen, endoplasmic reticulum membrane, endosome lumen, cytosol, endosome, vesicle, endoplasmic reticulum, cell, endoplasmic reticulum membrane collective<br><br><b>Dataset URL</b>: s3://janelia-cosem-datasets/jrc_ut21-1413-003/jrc_ut21-1413-003.zarr/recon-1/labels/groundtruth/crop192<br><br><b>Source (EM) dataset ID</b>: jrc_ut21-1413-003<br><br><b>Source (EM) voxel size (nm)</b>: 8 x 8 x 8 (x, y, z)<br><br><b>Source (EM) data dimensions (µm)</b>: 130.42 x 91.22 x 121.19 (x, y, z)<br><br><b>Source (EM) DOI</b>: https://doi.org/10.25378/janelia.27075529<br><br><b>Visualization website</b>: https://openorganelle.janelia.org/datasets/jrc_ut21-1413-003<br><br><b>Publication:</b> <i>CellMap Segmentation Challenge,</i> 2024.<br><br><b>The CellMap Project Team during this time consisted of:</b> David Ackerman, Davis Bennett, Marley Bryant, Hannah Nguyen, Grace Park, Alyson Petruncio, Alannah Post, Jacquelyn Price, Diana Ramirez, Jeff Rhoades, Rebecca Vorimo, Aubrey Weigel, Marwan Zouinkhi, Yurii Zubov.<br><br><b>The CellMap Project Team Steering Committee during this time consisted of:</b> Misha Ahrens, Christopher Beck, Teng-Leong Chew, Daniel Feliciano, Jan Funke, Harald Hess, Wyatt Korff, Jennifer Lippincott-Schwartz, Zhe J. Liu, Kayvon Pedram, Stephan Preibisch, Stephan Saalfeld, Ronald Vale, and Aubrey Weigel.
DOI: 10.7294/26528059
title: Dangerous Harbor Project - Lancaster County - Reel 261 - Tobacco Records, 1653-1850 - TIFFs 51-55

description: This dataset includes 5 TIFF files showing tobacco records from Lancaster County in Virginia. They were created to document the production and storage of the cash crop. These documents were collected in association with the Dangerous Harbor Project which used courthouse documents to identify escaped unfree laborers in the 17th century Chesapeake and the punishments associated with their escape.To learn more about this project, please go to the Dangerous Harbor Website.
DOI: 10.7294/26528059.v1
title: Dangerous Harbor Project - Lancaster County - Reel 261 - Tobacco Records, 1653-1850 - TIFFs 51-55

description: This dataset includes 5 TIFF files showing tobacco records from Lancaster County in Virginia. They were created to document the production and storage of the cash crop. These documents were collected in association with the Dangerous Harbor Project which used courthouse documents to identify escaped unfree laborers in the 17th century Chesapeake and the punishments associated with their escape.To learn more about this project, please go to the Dangerous Harbor Website.
DOI: 10.6084/m9.figshare.19679595
title: MicroFisher_DBs

description: The databases for MicroFisher, the fungal classification pipeline for Metatranscriptome and Metagenome.
DOI: 10.17863/cam.52821
title: Research data supporting "A Light-Switchable Liquid Metamaterial Mirror"

description: Descriptions are provided for each file with a corresponding "notes" file as labelled. The data corresponds to the figures in the manuscript as in the filename (1a etc.)
DOI: 10.17863/cam.59644
title: Research data supporting publication "Mindfulness-based programmes for mental health promotion in adults in non-clinical settings: A systematic review and meta-analysis of randomised controlled trials"

description: These data were collected and meta-analysed following the methods detailed in the supported publication, which is open access. They were uploaded in two formats (zip folders): as Stata files (dta) with explanatory variable labels, and as csv files with explanatory variable lists (_varlist). Each zip folder includes four data sets: (1) "Outcomes_extracted_from_trials" contains the summary statistics that were extracted from trial records for each outcome, (2) "Data_for_sensitivity_subgroup_analyses" contains information on trial characteristics that were used to run subgroup and sensitivity analyses, (3) "ClusterRCTs_clusters" contains cluster information for those trials that were cluster-randomised, and (4) "Within_study_covariances_estimated_from_Galante_2018" contains the within-study correlations between outcome domains in the Galante 2018 trial that were used to estimate other trials' within-study correlations for the multivariate meta-analysis.