cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5439/1989300
title: aerisummary (b1)

description: The atmospheric emitted radiance interferometer (AERI) is a ground-based instrument that measures the downwelling infrared radiance from the Earth’s atmosphere. The observations have broad spectral content and sufficient spectral resolution to discriminate among gaseous emitters (e.g., carbon dioxide and water vapor) and suspended matter (e.g., aerosols, water droplets, and ice crystals). These upward-looking surface observations can be used to obtain vertical profiles of tropospheric temperature and water vapor, as well as measurements of trace gases (e.g., ozone, carbon monoxide, and methane) and downwelling infrared spectral signatures of clouds and aerosols.
DOI: 10.5439/1989303
title: mmcrmode3ge200309091cloth (c1)

description: mmcrmode3ge200309091cloth
DOI: 10.5439/1989304
title: mmcrmode2ci200309091cloth (c1)

description: mmcrmode2ci200309091cloth
DOI: 10.5066/p967nooz
title: Environmental and Quality-Control Data for Per- and Polyfluoroalkyl Substances (PFAS) Measured in Selected Rivers and Streams in Massachusetts, 2020 (ver. 2.0, May 2023)

description: This data release includes concentrations of 24 per- and polyfluoroalkyl substances (PFAS) and physical properties of water-quality samples collected by the U.S. Geological Survey (USGS) at 64 selected sites in rivers and streams in Massachusetts over three rounds of sampling. The samples were collected from August to November 2020 when streamflow conditions were below normal (also considered to be base-flow conditions) at rivers and streams in urban areas that receive treated wastewater from municipal wastewater-treatment facilities, and in rural rivers and streams that are not associated with municipal wastewater discharges and may have other source inputs of PFAS. The measured physical properties include water temperature, specific conductance, pH, dissolved oxygen, and turbidity and the quality-control data from blanks, replicates, laboratory control samples, and laboratory spike samples are provided. The physical properties, along with all of the discrete water-quality PFAS data, except the quality-control data, are also available online from the U.S. Geological Survey's National Water Information System (NWIS) database (https://nwis.waterdata.usgs.gov/nwis). This data release is structured as a set of tab-delimited (.txt) files.The metadata includes descriptions of files: Site_Information.txt, Abbreviations_and_Remark_Codes.txt, and Analysis_Information.txt. This data release also includes a Data Dictionary (Data_Dictionary.txt) that is used to describe environmental sample data (Environmental_Data.txt), and Quality Control field and laboratory blank data (QC_Blanks.txt), field and laboratory replicate data (QC_Replicates.txt), and laboratory control sample and spike data (QC_Laboratory_Control_Samples_and_Spikes.txt).
DOI: 10.15121/1989382
title: Utah FORGE Core Material Friction Experiments

description: The following folders contain 3 friction experiments on Utah FORGE core material from depths of 6735 - 8533ft. The experiment conditions range from 100% relative humidity at room temperature to fluid-saturated at 110C. Experiments were done on both intact samples in a single-direct shear configuration, double-direct shear, and gouge.
DOI: 10.15121/1989384
title: Utah FORGE: Optimization of a Plug-and-Perf Stimulation (Fervo Energy)

description: Information around the plug-and-perf treatment design at Utah FORGE by Fervo Energy. Objective and Purpose: - Develop a multistage hydraulic stimulation approach designed specifically to target the top three factors that control the technical and commercial viability of an EGS system: i) Achieving sufficient injectivity to support high cross-well flow rates ii) Distributing flow evenly across the wellbore and reservoir to maximize heat mining efficiency, ensure sustained heat transfer, and mitigate thermal breakthrough iii) Overcoming the effects of stress heterogeneity, stress shadowing, and variations in natural fracture properties during the stimulation treatment, leading to a more predictable stimulated reservoir volume and offset well placement - The following activities will be performed: i) Design, plan, and execute a multistage plug-and-perf stimulation treatment at a Fervo site with data acquisition and well testing activities aimed at addressing key technical aspects of the issues above ii) Perform data processing and interpretation of field results to translate the results form the Fervo site to a site-specific design at the Utah FORGE site iii) Design, plan, and execute a multistage plug-and-perf stimulation treatment design at the Utah FORGE site Methods and Approach: - Design a detailed data acquisition plan to maximize learning around: i) DFIT testing ii) Petrophysical logging, image logging iii) Permanent DAS/DTS fiber optic monitoring iv) Deep borehole microseismic monitoring v) Shallow borehole induced seismicity monitoring vi) Injection/production testing (RTA analysis, tracer testing) vii) Integrated numerical modeling and production forecasting
DOI: 10.5281/zenodo.8144272
title: SCOAR_WRF_WW3_model_output_1.5km_North_Atlantic_coupled

description: Ocean-Atmopshere-Waves coupled model outputs from SCOAR. Atmospheric (WRF) and ocean waves (WW3) hourly outputs are provided for a study case simulation, period 5-8 December 2017. WRF outputs are provided for a simulation coupled explicitly with WW3 and another simulation without wave coupling. Please acknowledge your use of the data in any documents or publications using these data. We would also appreciate receiving a copy of the relevant publications and white papers. Thank you!
DOI: 10.6084/m9.figshare.22954334
title: Nie.xlsx

description: litter decomposition data
DOI: 10.6084/m9.figshare.22954334.v2
title: Nie.xlsx

description: litter decomposition data
DOI: 10.6084/m9.figshare.22954334.v1
title: Nie.xlsx

description: Exogenous enzyme technology has grown rapidly. The application of recombinant DNA amplification, contribute to the achievement, and immobilization engineering to genetically modified bacteria results in a plethora of enzymes. Among the most commonly used enzymes were amylase, cellulase, protease, pectinase, glycosidase, and polyphenol oxidase.However, as an important role, the effect of adding exogenous enzymes on litter decomposition has hardly been studied.To examine the impact of adding exogenous enzymes on litter decomposition, we selected five enzymes (Laccase, LiP, LAP, Cellulase, ACP) to add to the surface of litter and decompose them under constant temperature and humidity for 189 days.
DOI: 10.6084/m9.figshare.23650563
title: Untitled Item

description: Biological raw data
DOI: 10.6084/m9.figshare.23650563.v1
title: Untitled Item

description: Biological raw data
DOI: 10.25345/c53x83w6k
title: MassIVE MSV000092439 - Deep spatial proteomic exploration of severe COVID-19-related pulmonary injury in post-mortem specimens
title: The lung, as a primary target of SARS-CoV-2, exhibits heterogeneous microenvironment accompanied by various histopathological changes following virus infection. However, comprehensive insight into the protein basis of COVID-19-related pulmonary injury with spatial resolution is currently deficient. Here, we generated a region-resolved quantitative proteomic atlas of seven major pathological structures within the lungs of COVID-19 victims by integrating histological examination, laser microdissection, and ultrasensitive proteomic technologies. Over 10,000 proteins were quantified across 71 dissected FFPE post-mortem specimens. By comparison with control samples, we identified a spectrum of COVID-19-induced protein and pathway dysregulations in alveolar epithelium, bronchial epithelium, and pulmonary blood vessels, providing evidence for the proliferation of transitional-state pneumocytes. Additionally, we profiled the region-specific proteomes of hallmark COVID-19 pulmonary injuries, including bronchiole mucus plug, pulmonary fibrosis, airspace inflammation, and hyperplastic alveolar type 2 cells. Bioinformatic analysis revealed the enrichment of cell-type and functional markers in these regions (e.g. enriched TGFBI in fibrotic region). Furthermore, we identified the up-regulation of proteins associated with viral entry, host restriction, and inflammatory response in COVID-19 lungs, such as FURIN and HGF. Collectively, this study provides spatial proteomic insights for understanding COVID-19-caused pulmonary injury, and may serve as a valuable reference for improving therapeutic intervention for severe pneumonia.
DOI: 10.6084/m9.figshare.23638830
title: Raw data of Calcium tranposrt and fruit tranpiration of tomato (Solanum lycopersicum)

description: Raw data of calcium transport experiment carried out by X-ray fluorescence and the effect of osmotic regulators potassium, glycerol, mannitol, and sucrose. Raw data of tomato fruit transpiration as a function of fruit development.
DOI: 10.6084/m9.figshare.23638830.v1
title: Raw data of Calcium tranposrt and fruit tranpiration of tomato (Solanum lycopersicum)

description: Raw data of calcium transport experiment carried out by X-ray fluorescence and the effect of osmotic regulators potassium, glycerol, mannitol, and sucrose. Raw data of tomato fruit transpiration as a function of fruit development.
DOI: 10.6084/m9.figshare.23682195
title: Additional file 1 of ClinVar and HGMD genomic variant classification accuracy has improved over time, as measured by implied disease burden

description: Additional file 1: Table S1. list of screened IEM genes and their associated disorders.
DOI: 10.6084/m9.figshare.23682198
title: Additional file 2 of ClinVar and HGMD genomic variant classification accuracy has improved over time, as measured by implied disease burden

description: Additional file 2: Table S2. list of indicated affected individuals ordered by 1KGP subpopulation, and whether newborn screening likely occurred for these individuals.
DOI: 10.6084/m9.figshare.23682198.v1
title: Additional file 2 of ClinVar and HGMD genomic variant classification accuracy has improved over time, as measured by implied disease burden

description: Additional file 2: Table S2. list of indicated affected individuals ordered by 1KGP subpopulation, and whether newborn screening likely occurred for these individuals.
DOI: 10.6084/m9.figshare.23682207
title: Additional file 5 of ClinVar and HGMD genomic variant classification accuracy has improved over time, as measured by implied disease burden

description: Additional file 5: Table S3. Variants removed due to 2015 BA1 guidelines.
DOI: 10.6084/m9.figshare.23682207.v1
title: Additional file 5 of ClinVar and HGMD genomic variant classification accuracy has improved over time, as measured by implied disease burden

description: Additional file 5: Table S3. Variants removed due to 2015 BA1 guidelines.
DOI: 10.6084/m9.figshare.23682213
title: Additional file 7 of ClinVar and HGMD genomic variant classification accuracy has improved over time, as measured by implied disease burden

description: Additional file 7: Table S5. Quality confirmation of Select ClinVar variants, Full ClinVar variants, and Select HGMD variants present in a pathogenic genotype.
DOI: 10.6084/m9.figshare.23682213.v1
title: Additional file 7 of ClinVar and HGMD genomic variant classification accuracy has improved over time, as measured by implied disease burden

description: Additional file 7: Table S5. Quality confirmation of Select ClinVar variants, Full ClinVar variants, and Select HGMD variants present in a pathogenic genotype.
DOI: 10.6084/m9.figshare.23682216
title: Additional file 8 of ClinVar and HGMD genomic variant classification accuracy has improved over time, as measured by implied disease burden

description: Additional file 8: Table S6. HGMD variants found in a pathogenic genotype in one or more predicted affected individuals from 1KGP.
DOI: 10.6084/m9.figshare.23682216.v1
title: Additional file 8 of ClinVar and HGMD genomic variant classification accuracy has improved over time, as measured by implied disease burden

description: Additional file 8: Table S6. HGMD variants found in a pathogenic genotype in one or more predicted affected individuals from 1KGP.
DOI: 10.6084/m9.figshare.23682219
title: Additional file 9 of ClinVar and HGMD genomic variant classification accuracy has improved over time, as measured by implied disease burden

description: Additional file 9: Table S7. Variants removed due to 2018 updated BA1 guidelines.
DOI: 10.6084/m9.figshare.23682219.v1
title: Additional file 9 of ClinVar and HGMD genomic variant classification accuracy has improved over time, as measured by implied disease burden

description: Additional file 9: Table S7. Variants removed due to 2018 updated BA1 guidelines.
DOI: 10.6084/m9.figshare.23682255
title: Additional file 2 of Increased prime edit rates in KCNQ2 and SCN1A via single nicking all-in-one plasmids

description: Additional file 2: Table S1. Individual data values of all data represented in this manuscript.
DOI: 10.6084/m9.figshare.23682255.v1
title: Additional file 2 of Increased prime edit rates in KCNQ2 and SCN1A via single nicking all-in-one plasmids

description: Additional file 2: Table S1. Individual data values of all data represented in this manuscript.
DOI: 10.6084/m9.figshare.23682328
title: Additional file 2 of Stability selection enhances feature selection and enables accurate prediction of gestational age using only five DNA methylation sites

description: Additional file 2. Complete output of the stability selection analyses in the combined dataset.
DOI: 10.6084/m9.figshare.23682328.v1
title: Additional file 2 of Stability selection enhances feature selection and enables accurate prediction of gestational age using only five DNA methylation sites

description: Additional file 2. Complete output of the stability selection analyses in the combined dataset.
DOI: 10.6084/m9.figshare.23682334
title: Additional file 3 of Stability selection enhances feature selection and enables accurate prediction of gestational age using only five DNA methylation sites

description: Additional file 3. Complete output of the stability selection analyses in the training set.
DOI: 10.6084/m9.figshare.23682334.v1
title: Additional file 3 of Stability selection enhances feature selection and enables accurate prediction of gestational age using only five DNA methylation sites

description: Additional file 3. Complete output of the stability selection analyses in the training set.
DOI: 10.22002/n47vy-s0s65
title: DAS P-phase data for "Earthquake focal mechanisms with distributed acoustic sensing"

description: This repository contains the DAS P-phase dataset for earthquakes near the Long Valley Caldera and Ridgecrest studied in the manuscript "Earthquake focal mechanisms with distributed acoustic sensing". 
The earthquake catalogs are in catalog_name.csv, and the DAS channel locations are in dasinfo_name.csv.
A Python script is also provided to read the data.
DOI: 10.26179/n2xv-k988
title: Traverse Logs and Data, Casey/Law Dome/Wilkes Land, 1980
DOI: 10.6084/m9.figshare.23683213
title: Linear Model Code from Fission–fusion dynamics in sheep: the influence of resource distribution and temporal activity patterns

description: R Code to reproduce the linear model from Table 1
DOI: 10.6084/m9.figshare.23683213.v1
title: Linear Model Code from Fission–fusion dynamics in sheep: the influence of resource distribution and temporal activity patterns

description: R Code to reproduce the linear model from Table 1
DOI: 10.6084/m9.figshare.23683216
title: Figure Reproduction Code from Fission–fusion dynamics in sheep: the influence of resource distribution and temporal activity patterns

description: Wolfram Language Code to reproduce Paper Figures
DOI: 10.6084/m9.figshare.23683216.v1
title: Figure Reproduction Code from Fission–fusion dynamics in sheep: the influence of resource distribution and temporal activity patterns

description: Wolfram Language Code to reproduce Paper Figures
DOI: 10.26179/vj8y-5a42
title: Traverse Logs and Data, Casey/Law Dome/Wilkes Land, 1987
DOI: 10.6084/m9.figshare.23683395
title: Selective logging destabilizes the functioning and composition of forest ecosystems at multiple spatial scales

description: Selective logging is one of the most prevalent land uses of forests worldwide, affecting biodiversity and ecosystem functioning. However, the effect of selective logging on the dual nature of temporal stability, and the scale dependence of this effect, remain to be elucidated. By conducting several decade-long experiments in temperate forest ecosystems, we tested the effects of selective logging on aggregate and compositional stability at multiple spatial scales. As expected, forest ecosystem stability at larger spatial scales was enhanced both by the stability of local scales (i.e. α stability) and asynchronous dynamics among local communities (i.e. spatial asynchrony). We found that the negative effects of selective logging on both facets of forest stability propagated from local to larger spatial scales due to reduced α stability and the biological insurance effects of α diversity. However, both spatial aggregate and compositional asynchrony were not affected by selective logging. Interestingly, despite the selective logging, α diversity still provided biological insurance effects for maintaining aggregate and compositional stability. Our results imply that selective logging may destabilize the aggregate ecosystem functioning and species composition of forest ecosystems at local and larger spatial scales. To our knowledge, this study provides the first evidence of the scale dependence of aggregate and compositional stability of forest ecosystems in response to selective logging. Our findings suggest that forest management should avoid excessive selective logging and strive to protect forest diversity to safeguard the sustainability of the functioning and composition of natural forest ecosystems at multiple spatial scales.
DOI: 10.6084/m9.figshare.23559216.v1
title: Code. from Kinship composition in mammals

description: Code used for data visualisation and statistical analysis.
DOI: 10.6084/m9.figshare.23559216
title: Code. from Kinship composition in mammals

description: Code used for data visualisation and statistical analysis.
DOI: 10.6084/m9.figshare.23559219
title: List of papers reviewed, metadata and datapoints of the kinship composition dataset. from Kinship composition in mammals

description: List of papers returned by the literature search and the reason why they were included or not in the kinship composition dataset. Metadata of the kinship composition dataset. Datapoints of the kinship composition dataset.
DOI: 10.6084/m9.figshare.23559219.v2
title: List of papers reviewed, metadata and datapoints of the kinship composition dataset. from Kinship composition in mammals

description: List of papers returned by the literature search and the reason why they were included or not in the kinship composition dataset. Metadata of the kinship composition dataset. Datapoints of the kinship composition dataset.
DOI: 10.6084/m9.figshare.23559219.v1
title: List of papers reviewed, metadata and datapoints of the kinship composition dataset. from Kinship composition in mammals

description: List of papers returned by the literature search and the reason why they were included or not in the kinship composition dataset. Metadata of the kinship composition dataset. Datapoints of the kinship composition dataset.
DOI: 10.6084/m9.figshare.23683429.v1
title: Supplemental Tables from Group-level differences in social network structure remain repeatable after accounting for environmental drivers

description: Supplemental table for experimental dates and for the results from both uninformed and informed models.
DOI: 10.6084/m9.figshare.23683429
title: Supplemental Tables from Group-level differences in social network structure remain repeatable after accounting for environmental drivers

description: Supplemental table for experimental dates and for the results from both uninformed and informed models.
DOI: 10.6084/m9.figshare.23676640
title: Dataset from Boldness is not associated with dynamic performance capacity in hermit crabs

description: Dataset .csv file
DOI: 10.6084/m9.figshare.23676640.v1
title: Dataset from Boldness is not associated with dynamic performance capacity in hermit crabs

description: Dataset .csv file
DOI: 10.5281/zenodo.7996465
title: Automated patent extraction powers generative modeling in focused chemical spaces: Training data and model checkpoints release

description: Training data and model checkpoints accompanying paper on "Automated patent extraction powers generative modeling in focused chemical spaces". If you use this data, please cite the following manuscript: <pre>@article{subramanian2023automated, title={Automated patent extraction powers generative modeling in focused chemical spaces}, author={Subramanian, Akshay and Greenman, Kevin P and Gervaix, Alexis and Yang, Tzuhsiung and G{\'o}mez-Bombarelli, Rafael}, journal={Digital Discovery}, year={2023}, publisher={Royal Society of Chemistry} }</pre>
DOI: 10.5281/zenodo.7996464
title: Automated patent extraction powers generative modeling in focused chemical spaces: Training data and model checkpoints release

description: Training data and model checkpoints accompanying paper on "Automated patent extraction powers generative modeling in focused chemical spaces". If you use this data, please cite the following manuscript: <pre>@article{subramanian2023automated, title={Automated patent extraction powers generative modeling in focused chemical spaces}, author={Subramanian, Akshay and Greenman, Kevin P and Gervaix, Alexis and Yang, Tzuhsiung and G{\'o}mez-Bombarelli, Rafael}, journal={Digital Discovery}, year={2023}, publisher={Royal Society of Chemistry} }</pre>
DOI: 10.17909/wmmd-ev74
title: Data from paper "Webb's PEARLS: Transients in the MACS J0416.1-2403 Field"

description: Including only NIRCam imaging F090W, F115W, F150W, F200W, F277W, F356W, F410M, and F444W.
DOI: 10.6084/m9.figshare.23664320
title: TableS1 from Increased initial task difficulty drives social foragers to develop sub-optimal conformity instead of adaptive diversity

description: The extent to which animal societies exhibit social conformity as opposed to behavioural diversity is commonly attributed to adaptive learning strategies. Less attention is given to the possibility that the relative difficulty of learning a task socially as opposed to individually can be critical for social learning dynamics. Here we show that by raising initial task difficulty, house sparrows previously shown to exhibit adaptive social diversity become predominantly conformists. The task we used required opening feeding well covers (easier to learn socially) and to choose the covers with the rewarding cues (easy to learn individually). We replicated a previous study where sparrows exhibited adaptive diversity, but did not pre-train the naive sparrows to open covers, making the task initially more difficult. In sharp contrast to the previous study results, most sparrows continued to conform to the demonstrated cue even after experiencing greater success with the alternative rewarding cue for which competition was less intense. Thus, our study shows that a task's cognitive demands, such as the initial dependency on social demonstration, can change the entire learning dynamics, causing social animals to exhibit sub-optimal social conformity rather than adaptive diversity under otherwise identical conditions.