cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6073/pasta/9c2d7b049da2ab0bdcd3831e610861d1
title: Water Quality Data (Grab Samples) from the Taylor Slough, Everglades National Park (FCE), Florida, USA, September 1999 - ongoing

description: Water quality samples are being collected using ISCO autosamplers at all wetland sites (that is, all sites except TS/Ph-9, 10, and 11). The autosamplers contain 24 1L bottles. Water is sampled by programming the autosamplers to take composite samples once every 3 days. These samples are a composite of four 250mL subsamples drawn every 18 hours (a sampling scheme that captures a dawn, noon, dusk, and midnight sample in every three day composite). The samples are collected every 3-4 weeks and analyzed for total phosphorus (TP), total nitrogen (TN), and salinity. When sites are visited to collect these samples, we also collect a grab sample that is immediately put on ice. A portion of these grab samples is filtered through a Whatman GF/F filter immediately upon return to the lab, and the filtered samples are analyzed for inorganic nutrients such as NO2-, NO3-, NH4+, SRP, and DOC. The unfiltered fraction of these grab samples is analyzed for TP, TN, and TOC. We use these montly grab samples to generate relationships between TP and SRP, and between TN and NO2- + NO3- + NH4+. Dissolved nutrients are measured using standard rapid flow analyzer (RFA) techniques. TP is analyzed with a modified Solorzano and Sharp (1980) technique. TN is measured with an Antec TN analyzer, TOC and DOC are quantified on a Shimadzu TOC Analyzer, and salinity is measured with a YSI conductivity meter. In addition to the regular water quality monitoring, we use the rain level actuators at all freshwater sites to trigger water sampling after rain events exceed a given threshold of duration and/or intensity. As currently programmed, when the threshold of = 2.5 cm of rain per hour is passed, the autosampler at that site collects a 500mL sample 30 minutes after the threshold has been reached. Rain event samples are collected, treated, and analyzed as all other water quality samples.
DOI: 10.13139/ornlnccs/1973885
title: Structural models and functional annotations for the Sphagnum divinum proteome.

description: This dataset contains the structural models for the primary transcripts of the Sphagnum divinum proteome. Additionally, for a subset of these proteins, sequence and structural alignment results are provided. This dataset represents the most thorough structural study of a Sphagnum species, also known as peat mosses, by providing three-dimensional atomic resolution structures of the majority of the encoded proteins as well as structural alignment results used in the application of annotating the proteome.
DOI: 10.5281/zenodo.7953087
title: PDB70 Structural Library and Metadata

description: Protein structural library developed from the PDB70 sequence database as well as associated metadata for each structure. The structures associated with each entry in the PDB70 structural library are provided in a tar ball. When available, the metadata for a protein has been gathered from UniProtKB flat files. A focus is given to enzyme commission (EC) number informations as this type of ontology is of main focus for identifying and classifying enzymes within a proteome.
DOI: 10.5281/zenodo.7953086
title: PDB70 Structural Library and Metadata

description: Protein structural library developed from the PDB70 sequence database as well as associated metadata for each structure. The structures associated with each entry in the PDB70 structural library are provided in a tarball. When available, the metadata for a protein has been gathered from UniProtKB flat files. A focus is given to enzyme commission (EC) number metadata as this type of ontology is of main focus for identifying and classifying enzymes within a proteome. Changelog: v1.0.2 - Added list file for structures that have active EC numbers, accounting for defunct EC numbers in UniProtKB metadata being replaced with an active EC number when relevant. v1.0.1 - Small clean up of the provided .ipynb document. v1.0.0 - Original push of the PDB70 structural database and metadata.
DOI: 10.5281/zenodo.8014733
title: PDB70 Structural Library and Metadata

description: Protein structural library developed from the PDB70 sequence database as well as associated metadata for each structure. The structures associated with each entry in the PDB70 structural library are provided in a tarball. When available, the metadata for a protein has been gathered from UniProtKB flat files. A focus is given to enzyme commission (EC) number metadata as this type of ontology is of main focus for identifying and classifying enzymes within a proteome. Changelog: v1.0.1 - Small clean up of the provided .ipynb document. v1.0.0 - Original push of the PDB70 structural database and metadata.
DOI: 10.5281/zenodo.8187772
title: PDB70 Structural Library and Metadata

description: Protein structural library developed from the PDB70 sequence database as well as associated metadata for each structure. The structures associated with each entry in the PDB70 structural library are provided in a tarball. When available, the metadata for a protein has been gathered from UniProtKB flat files. A focus is given to enzyme commission (EC) number metadata as this type of ontology is of main focus for identifying and classifying enzymes within a proteome. Changelog: v1.0.2 - Added list file for structures that have active EC numbers, accounting for defunct EC numbers in UniProtKB metadata being replaced with an active EC number when relevant. v1.0.1 - Small clean up of the provided .ipynb document. v1.0.0 - Original push of the PDB70 structural database and metadata.
DOI: 10.5281/zenodo.8187794
title: labeobarbus_marequensis_decontaminated_gx.fasta.gz

description: .
DOI: 10.5281/zenodo.8187793
title: labeobarbus_marequensis_decontaminated_gx.fasta.gz

description: .
DOI: 10.6084/m9.figshare.23786796
title: Heterochromatic flicker and estrogen data across menstrual cycle phases

description: Spreadsheet containing heterochromatic flicker match (HFM) data across five wavelengths, three sessions (representing menstrual, peri-ovulation, luteal phases), and estrogen levels.
DOI: 10.6084/m9.figshare.23786796.v1
title: Heterochromatic flicker and estrogen data across menstrual cycle phases

description: Spreadsheet containing heterochromatic flicker match (HFM) data across five wavelengths, three sessions (representing menstrual, peri-ovulation, luteal phases), and estrogen levels.
DOI: 10.5281/zenodo.8124873
title: Improving Juice Quality Of Sweet Oranges in Florida By Exploiting Genetic Variation Found inOLL Somaclone-derived Nucellar Seedlings Under HLB Endemic Conditions

description: Appendix- Completed data set
DOI: 10.5281/zenodo.8124874
title: Improving Juice Quality Of Sweet Oranges in Florida By Exploiting Genetic Variation Found inOLL Somaclone-derived Nucellar Seedlings Under HLB Endemic Conditions

description: Appendix- Completed data set
DOI: 10.5281/zenodo.8187803
title: Improving Juice Quality Of Sweet Oranges in Florida By Exploiting Genetic Variation Found inOLL Somaclone-derived Nucellar Seedlings Under HLB Endemic Conditions

description: Appendix- Completed data set
DOI: 10.3886/e111743v2-140427
title: Data and Code for: Are Ideas Getting Harder to Find?

description: Long-run growth in many models is the product of two terms: the effective number of researchers and their research productivity. We present evidence from various industries, products, and firms showing that research effort is rising substantially while research productivity is declining sharply. A good example is Moore's Law. The number of researchers required today to achieve the famous doubling of computer chip density is more than 18 times larger than the number required in the early 1970s. More generally, everywhere we look we find that ideas --- and the exponential growth they imply --- are getting harder to find.
DOI: 10.6084/m9.figshare.3761562.v2659
title: Online Labour Index: Measuring the Online Gig Economy for Policy and Research

description: Data repository for the data underlying the Online Labour Index. See http://ilabour.oii.ox.ac.uk online-labour-index/ for details.
DOI: 10.6084/m9.figshare.3761562.v2658
title: Online Labour Index: Measuring the Online Gig Economy for Policy and Research

description: Data repository for the data underlying the Online Labour Index. See http://ilabour.oii.ox.ac.uk online-labour-index/ for details.
DOI: 10.5281/zenodo.6922576
title: Dataset of "An end-to-end KNN-based PTV approach for high-resolution measurements and uncertainty quantification"

description: Dataset of the article "An end-to-end KNN-based PTV approach for high-resolution measurements and uncertainty quantification" (https://doi.org/10.1016/j.expthermflusci.2022.110756). Local similarity between non-time-resolved snapshots is enforced by KNN to extract high-resolution velocity fields and estimate the uncertainty of the measurements. The codes processing data here are on https://github.com/erc-nextflow/KNN-PTV. This project has received funding from the European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation program (grant agreement No 949085, NEXTFLOW).
DOI: 10.5281/zenodo.6922577
title: Dataset of "An end-to-end KNN-based PTV approach for high-resolution measurements and uncertainty quantification"

description: Dataset of the article "An end-to-end KNN-based PTV approach for high-resolution measurements and uncertainty quantification" (https://doi.org/10.1016/j.expthermflusci.2022.110756). Local similarity between non-time-resolved snapshots is enforced by KNN to extract high-resolution velocity fields and estimate the uncertainty of the measurements. The codes processing data here are on https://github.com/erc-nextflow/KNN-PTV. This project has received funding from the European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation program (grant agreement No 949085, NEXTFLOW).
DOI: 10.5281/zenodo.7191209
title: Dataset of "Super-resolution generative adversarial networks of randomly seeded fields"

description: Dataset of the article "Super-resolution generative adversarial networks of randomly seeded fields" (https://doi.org/10.1038/s42256-022-00572-7) The codes processing data here are on https://github.com/eaplab/RaSeedGAN This project has received funding from the European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation program (grant agreement No 949085, NEXTFLOW).
DOI: 10.5281/zenodo.7191210
title: Dataset of "Super-resolution generative adversarial networks of randomly seeded fields"

description: Dataset of the article "Super-resolution generative adversarial networks of randomly seeded fields" (https://doi.org/10.1038/s42256-022-00572-7) The codes processing data here are on https://github.com/eaplab/RaSeedGAN This project has received funding from the European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation program (grant agreement No 949085, NEXTFLOW).
DOI: 10.5281/zenodo.6473074
title: Dataset of "Pressure from data-driven estimation of velocity fields using snapshot PIV and fast probes"

description: Dataset of the article <em>Pressure from data-driven estimation of velocity fields using snapshot PIV and fast probes </em>(https://doi.org/10.1016/j.expthermflusci.2022.110647). A data-driven method is applied to combine non-time-resolved velocity field and fast probe data, and achieve time-resolved velocity and pressure field. The codes processing data here are on https://github.com/erc-nextflow/Data-driven-pressure-estimation-with-EPOD. This project has received funding from the European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation program (grant agreement No 949085, NEXTFLOW).
DOI: 10.5281/zenodo.6473075
title: Dataset of "Pressure from data-driven estimation of velocity fields using snapshot PIV and fast probes"

description: Dataset of the article <em>Pressure from data-driven estimation of velocity fields using snapshot PIV and fast probes </em>(https://doi.org/10.1016/j.expthermflusci.2022.110647). A data-driven method is applied to combine non-time-resolved velocity field and fast probe data, and achieve time-resolved velocity and pressure field. The codes processing data here are on https://github.com/erc-nextflow/Data-driven-pressure-estimation-with-EPOD. This project has received funding from the European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation program (grant agreement No 949085, NEXTFLOW).
DOI: 10.5281/zenodo.8187834
title: Supporting Dataset for "Reducing a tropical cyclone weak-intensity bias in a global numerical weather prediction system"

description: This archive supports the submission of "Reducing a tropical cyclone weak intensity bias in a global numerical weather prediction system" to Monthly Weather Review. It contains model configurations, the software used to create ensemble perturbations, the software used to compute the diagnostics discussed in the text, and the software use to plot figures. After downloading, the contents can be extracted using: tar -xzf idealtc1_archive-1.tgz
DOI: 10.5281/zenodo.8148676
title: JWTurn/WolfDeathComing: release with data

description: final release prior to publication, including data
DOI: 10.5281/zenodo.8187843
title: JWTurn/WolfDeathComing: release with data

description: final release prior to publication, including data
DOI: 10.3886/icpsr38845.v1
title: Measuring the Impact of Curation Actions: ICPSR Administrative Data, Global, 1984-2021
title: Version 1

description: Measuring the Impact of Curation Activities (MICA) was a project undertaken collaboratively between ICPSR and the University of Michigan School of Information from 2019-2023. MICA sought to improve understanding of the data curation process, secondary data usage, and the relationships between the two. The MICA datasets connect records for each of ICPSR's archived research studies to the research publications that use them and related curation activities available for a subset of studies. The datasets are organized around studies and papers as primary entities. The studies table lists ICPSR studies, their metadata attributes, and usage information; the papers table was constructed using the ICPSR Bibliography and Dimensions database; and the curation logs table summarizes the data curation steps performed on a subset of ICPSR studies.
description: The purpose of this study was to improve understanding of the data curation process, secondary data usage, and the relationships between the two.
description: Datasets: DS1: Measuring the Impact of Curation Actions: ICPSR Administrative Data, Global, 1984-2021
description: Records relating to the studies, publications, and curation logs of ICPSR.
description: For additional information on the Measuring the Impact of Curation Actions: ICPSR Administrative Data, Global, 1984-2021 study, please visit the MICA@UMICH website.
DOI: 10.5066/p93xrinq
title: Data used to test a video monitoring and computational system for estimating juvenile fish abundance

description: We developed and tested neural network-based models to recognize and count emigrating juvenile river herring in continuous video. Continuous video was collected from an underwater camera installed at Great Herring Pond in Bourne, Massachusetts (USA) between June and November 2017. Our algorithm extracts video frames to assess presence/absence of fish and count numbers of fish emigrating. We used extracted video frames to assess model performance. Provided datasets include information about extracted frames that were used for model assessment. This data release includes four datasets that were used to test model performance and select the best fitting model. (1) The ?Model Evaluation Dataset? includes count and presence/absence classifications for 19,498 video frames that were evaluated by each tested model variation and by human counters. (2) The ?Count Evaluation Dataset? includes expert counts for 189 video frames along with outputs for the top 4 models and associated differences in counts. Both the model evaluation dataset and count evaluation dataset also include environmental conditions associated with captured video (time of day, moon phase, cloud cover), that were downloaded from Visual Crossing Weather API (Visual Crossing Corporation, 2023). (3) The ?Volunteer Validation Dataset? was used to test volunteer count and classification accuracy compared to expert accuracy and includes 5009 volunteer and expert classifications. Volunteer counts were assessed by participants on an online public participation science website (Zooniverse). (4) The ?Expert Validation Dataset? was used to estimate differences in classifications of the same image by two expert observers and includes numerical and categorical classifications for 65 images and 500 fish occurrences.
DOI: 10.5281/zenodo.8187872
title: Binance cryptocurrencies historical daily data

description: Binance cryptocurrencies historical daily data
DOI: 10.5281/zenodo.8187871
title: Binance cryptocurrencies historical daily data

description: Binance cryptocurrencies historical daily data
DOI: 10.6084/m9.figshare.23786982
title: Supplementary material.Bekhit.N.docx

description: Proper management of soil organic matter in arid and semi-arid regions improves organic carbon storage in the soil, helps in compact soil degradation, and mitigates climate change impacts, and preserve ecosystem functionality and sustainability food security. This study aims to provide a better insight into the biogeochemical processes that drive the organic carbon dynamics of saline clay soil in a semi-arid climate. The study is not intended to be exhaustive but contributes to analyzing the relationship between bacterial microflora, physicochemical properties, and organic carbon dynamics as a function of different soil management modes. The monitoring was carried out on three different plots located at the National Institute of Agronomic Research of Algeria. A physicochemical characterization of the soils was performed. A metagenomic study was also conducted to identify bacterial biodiversity using PCR-amplified DNA sequencing. The study results show that the control plot has the highest average organic carbon stock value at 47 Mg ha-1. This was followed by the amended plot and the conventional plot, respectively, with 43 Mg ha-1 and 38 Mg ha-1. In the context of this study, organic carbon dynamics would appear to depend on the interaction of several biotic and abiotic factors. Soil management methods would impact the density and diversity of bacterial microflora. This, in turn, affects the soil's physicochemical properties and, more specifically, organic carbon dynamics and storage.
DOI: 10.6084/m9.figshare.23786982.v1
title: Supplementary material.Bekhit.N.docx

description: Proper management of soil organic matter in arid and semi-arid regions improves organic carbon storage in the soil, helps in compact soil degradation, and mitigates climate change impacts, and preserve ecosystem functionality and sustainability food security. This study aims to provide a better insight into the biogeochemical processes that drive the organic carbon dynamics of saline clay soil in a semi-arid climate. The study is not intended to be exhaustive but contributes to analyzing the relationship between bacterial microflora, physicochemical properties, and organic carbon dynamics as a function of different soil management modes. The monitoring was carried out on three different plots located at the National Institute of Agronomic Research of Algeria. A physicochemical characterization of the soils was performed. A metagenomic study was also conducted to identify bacterial biodiversity using PCR-amplified DNA sequencing. The study results show that the control plot has the highest average organic carbon stock value at 47 Mg ha-1. This was followed by the amended plot and the conventional plot, respectively, with 43 Mg ha-1 and 38 Mg ha-1. In the context of this study, organic carbon dynamics would appear to depend on the interaction of several biotic and abiotic factors. Soil management methods would impact the density and diversity of bacterial microflora. This, in turn, affects the soil's physicochemical properties and, more specifically, organic carbon dynamics and storage.
DOI: 10.6073/pasta/8a627703c9281c7261a5622abb99c768
title: Precipitation from the Taylor Slough, Everglades National Park (FCE LTER), Florida, USA, July 2000 - ongoing

description: Rain level data are collected using ISCO rain level gages attached to ISCO autosamplers, which also act as dataloggers. We condense these data into daily cumulative rainfall, although hourly rain level data are also available.
DOI: 10.34740/kaggle/dsv/6200932
title: CStevens Peloton Data
DOI: 10.6073/pasta/7c12048daaa73c06db63dd276fb98266
title: Lake level surveys in the McMurdo Dry Valleys, Antarctica (1991-2023, ongoing)

description: Manual lake level surveys are conducted each season for several lakes across the McMurdo Dry Valleys of Antarctica. This data package includes lake levels for Lake Fryxell, Lake Hoare, and Lake Bonney, located in Taylor Valley; Lake Vanda and Don Juan Pond, located in Wright Valley; Lake Vida, located in Victoria Valley; Lake Miers, located in Miers Valley; and Lake House and Lake Joyce, located in Pearse Valley.
DOI: 10.6084/m9.figshare.23771127.v1
title: Population genomic analysis of Ellobium chinense

description: Mapped bam file and SNPs
DOI: 10.13145/bacdive110072.20211221.6
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive110073.20211221.6
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive110074.20211221.6
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive110075.20211221.6
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive110076.20211221.6
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive110077.20211221.6
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive110078.20211221.6
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive110079.20211221.6
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive110080.20211221.6
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive110081.20211221.6
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive110082.20211221.6
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive110083.20211221.6
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.