cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.13145/bacdive114555.20220920.7
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/bacdive114555.20221219.7.1
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/bacdive114556.20220920.7
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/bacdive114556.20221219.7.1
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/bacdive114557.20220920.7
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/bacdive114557.20221219.7.1
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/bacdive114558.20220920.7
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/bacdive114558.20221219.7.1
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/bacdive114559.20220920.7
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/bacdive114559.20221219.7.1
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/bacdive114560.20220920.7
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/bacdive114560.20221219.7.1
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/bacdive114561.20220920.7
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/bacdive114561.20221219.7.1
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/bacdive114562.20220920.7
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/bacdive114562.20221219.7.1
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/bacdive114563.20220920.7
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/bacdive114563.20221219.7.1
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/bacdive114564.20220920.7
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/bacdive114564.20221219.7.1
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/bacdive114565.20220920.7
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/bacdive114565.20221219.7.1
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/bacdive114566.20220920.7
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/bacdive114566.20221219.7.1
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/bacdive114567.20220920.7
title: Streptomyces sp.

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.6084/m9.figshare.13472259
title: Collective action or individual choice. Raw data.

description: These data were obtained by Isabelle Steymans during her Bachellor Thesis at the University of Regensburg, at Björn Brembs' Laboratory, under the supervision of E. Axel Gorostiza.
DOI: 10.6084/m9.figshare.13472259.v3
title: Collective action or individual choice. Raw data.

description: These data were obtained by Isabelle Steymans during her Bachellor Thesis at the University of Regensburg, at Björn Brembs' Laboratory, under the supervision of E. Axel Gorostiza.
DOI: 10.6084/m9.figshare.13472259.v2
title: Collective action or individual choice. Raw data.

description: These data were obtained by Isabelle Steymans during her Bachellor Thesis at the University of Regensburg, at Björn Brembs' Laboratory, under the supervision of E. Axel Gorostiza
DOI: 10.34740/kaggle/dsv/1806808
title: reddit_AVexchange_price_2020
DOI: 10.6084/m9.figshare.13353455
title: train data for ParaQA

description: train dataset for ParaQA
DOI: 10.6084/m9.figshare.13353455.v4
title: train data for ParaQA

description: train dataset for ParaQA
DOI: 10.6084/m9.figshare.13514422
title: Zooplankton RNA data

description: Data represent zooplankton biomass estimates from coastal ocean water samples based on the sandwich hybridization assay, a measure of target RNA molecules. Samples were acquired in Monterey Bay, California, by ship and autonomous underwater vehicle sampling systems.
DOI: 10.6084/m9.figshare.13514422.v1
title: Zooplankton RNA data

description: Data represent zooplankton biomass estimates from coastal ocean water samples based on the sandwich hybridization assay, a measure of target RNA molecules. Samples were acquired in Monterey Bay, California, by ship and autonomous underwater vehicle sampling systems.
DOI: 10.5519/qd.g8jb1ukf
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (155 records)
DOI: 10.6084/m9.figshare.13514407
title: Navarro-Castilla et al. 2020. Non-invasive Monitoring of Adrenocortical Activity in Three Sympatric desert Gerbil Species. Dataset.

description: Dataset from Navarro-Castilla et al. 2020. Non-invasive Monitoring of Adrenocortical Activity in Three Sympatric desert Gerbil Species
DOI: 10.6084/m9.figshare.13514407.v1
title: Navarro-Castilla et al. 2020. Non-invasive Monitoring of Adrenocortical Activity in Three Sympatric desert Gerbil Species. Dataset.

description: Dataset from Navarro-Castilla et al. 2020. Non-invasive Monitoring of Adrenocortical Activity in Three Sympatric desert Gerbil Species
DOI: 10.5281/zenodo.4411970
title: BP and RP spectra of the Gaia Photometric Alerts

description: By means of Web Scraping techniques, the values of the BP (Blue Photometer) and RP (Red Photometer) spectra detected by Gaia have been extracted. This data extraction was carried out with the aim of studying the feasibility of classifying the alerts automatically according to their origin. <strong>Spectrums.csv</strong> <strong>id:</strong> Unique name of the alert. <strong>order:</strong> Order of the spectrum on a given alert. <strong>bp:</strong> Values as a list of the Blue Photometer. <strong>rp:</strong> Values as a list of the Red Photometer. <strong>a_d:</strong> If the spectrum corresponds to a detection it have the letter "D". If the spectrum corresponds to an alert it have the letter "A". <strong>feature: </strong>It show us the class or comment of a spectrum. <strong>Spectrums_columns.csv</strong> We have the same values as in the "Spectrums.csv" but, the bp and rp lists are shown as columns. This dataset is useful for machine learning models. The databases are applied in the master's thesis: <strong>Feasibility study of a spectra-based classication of the<br> Gaia Photometric Alerts.</strong> <strong>Abstract</strong> The photometric alerts obtained by the Gaia satellite are collected when a significant change from a constant magnitude is detected. This alert is recorded to be later studied and classified, in other words, to know what has caused it (variable star, microlensing effects, transits...). The project focuses on the alerts that have been published and classified in order to study the feasibility of automating the process of classifying these alerts. After selecting the alerts with the greatest representation, a web scraping process is carried out where the photometric spectra of each of the alerts participating in the study are obtained. Once we obtain a dataset formed by the photometric spectra and the classification of the alert, various supervised machine learning techniques are implemented. Given the large volume of data we work with, a balanced random subset of 4000 elements is selected to obtain the best hyperparameters and evaluate the performance of the following classifiers: Decision Trees, Support Vector Machines, Random Forests and Gradient Boosting Classifier. This process is repeated on the complete dataset using the hyperparameters obtained in the subset. Finally, the performance of different models for an Artificial Neural Network is built and evaluated. The best model obtained is the Gradient Boosting Classifier which, with a maximum depth of 7 nodes, 200 estimators and a learning rate of 0.1, gives an accuracy of 66.8%. Although the results are not excessively good, we can affirm that the classification of Gaia photometric alerts according to their spectra is feasible. <br> - Keywords: "Gaia", "Photometry", "Classification", "Machine Learning", "Web Scraping".
DOI: 10.5281/zenodo.4411969
title: BP and RP spectra of the Gaia Photometric Alerts

description: By means of Web Scraping techniques, the values of the BP (Blue Photometer) and RP (Red Photometer) spectra detected by Gaia have been extracted. This data extraction was carried out with the aim of studying the feasibility of classifying the alerts automatically according to their origin. <strong>Spectrums.csv</strong> <strong>id:</strong> Unique name of the alert. <strong>order:</strong> Order of the spectrum on a given alert. <strong>bp:</strong> Values as a list of the Blue Photometer. <strong>rp:</strong> Values as a list of the Red Photometer. <strong>a_d:</strong> If the spectrum corresponds to a detection it have the letter "D". If the spectrum corresponds to an alert it have the letter "A". <strong>feature: </strong>It show us the class or comment of a spectrum. <strong>Spectrums_columns.csv</strong> We have the same values as in the "Spectrums.csv" but, the bp and rp lists are shown as columns. This dataset is useful for machine learning models. The databases are applied in the master's thesis: <strong>Feasibility study of a spectra-based classication of the<br> Gaia Photometric Alerts.</strong> <strong>Abstract</strong> The photometric alerts obtained by the Gaia satellite are collected when a significant change from a constant magnitude is detected. This alert is recorded to be later studied and classified, in other words, to know what has caused it (variable star, microlensing effects, transits...). The project focuses on the alerts that have been published and classified in order to study the feasibility of automating the process of classifying these alerts. After selecting the alerts with the greatest representation, a web scraping process is carried out where the photometric spectra of each of the alerts participating in the study are obtained. Once we obtain a dataset formed by the photometric spectra and the classification of the alert, various supervised machine learning techniques are implemented. Given the large volume of data we work with, a balanced random subset of 4000 elements is selected to obtain the best hyperparameters and evaluate the performance of the following classifiers: Decision Trees, Support Vector Machines, Random Forests and Gradient Boosting Classifier. This process is repeated on the complete dataset using the hyperparameters obtained in the subset. Finally, the performance of different models for an Artificial Neural Network is built and evaluated. The best model obtained is the Gradient Boosting Classifier which, with a maximum depth of 7 nodes, 200 estimators and a learning rate of 0.1, gives an accuracy of 66.8%. Although the results are not excessively good, we can affirm that the classification of Gaia photometric alerts according to their spectra is feasible. <br> - Keywords: "Gaia", "Photometry", "Classification", "Machine Learning", "Web Scraping".
DOI: 10.6084/m9.figshare.3761562.v1733
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.4404818
title: Mating and survival of sterile Drosophila suzukii, in presence and absence of food

description: <em>Drosophila suzukii </em>(Matsumura) (Diptera: Drosophilidae) is a widely distributed pest species of soft-skinned fruits. Recent studies suggest the use of Sterile Insect Technique (SIT) as a control method for this species, however, many are the factors that can impact effectiveness of a SIT program, including environmental condition. Thus, we aimed to verify the influence of temperature and relative humidity on mating and survival of fertile and sterile <em>D. suzukii, </em>when insects were food provided or deprived. Highest mating rates were obtained when food provided flies (either fertile or sterile) were exposed to 25 ºC or 81-100% relative humidity, while extreme temperatures (10 and 35 ºC) and low humidity (below 60%) impaired mating. Overall, mating rate among food deprived flies was low in all temperatures and humidity levels tested, but fertile insects were more prone to mate when compared to sterile flies. Survival was negatively influenced by high temperatures, low relative humidity and food deprivation. The information present in this study is useful to be considered for transport and release of sterile <em>D. suzukii</em>.
DOI: 10.5281/zenodo.4404817
title: Mating and survival of sterile Drosophila suzukii, in presence and absence of food

description: <em>Drosophila suzukii </em>(Matsumura) (Diptera: Drosophilidae) is a widely distributed pest species of soft-skinned fruits. Recent studies suggest the use of Sterile Insect Technique (SIT) as a control method for this species, however, many are the factors that can impact effectiveness of a SIT program, including environmental condition. Thus, we aimed to verify the influence of temperature and relative humidity on mating and survival of fertile and sterile <em>D. suzukii, </em>when insects were food provided or deprived. Highest mating rates were obtained when food provided flies (either fertile or sterile) were exposed to 25 ºC or 81-100% relative humidity, while extreme temperatures (10 and 35 ºC) and low humidity (below 60%) impaired mating. Overall, mating rate among food deprived flies was low in all temperatures and humidity levels tested, but fertile insects were more prone to mate when compared to sterile flies. Survival was negatively influenced by high temperatures, low relative humidity and food deprivation. The information present in this study is useful to be considered for transport and release of sterile <em>D. suzukii</em>.
DOI: 10.7910/dvn/aeyknj
title: Executive Agreements Database, Statement Concerning the Agreement with Kosovo Concerning Cooperation In The Area of the Prevention Of Proliferation Of Weapons Of Mass Destruction Signed At Pristina May 23, 2012 Entered Into Force June 28, 2012

description: TIAS 12-628 cover memo
DOI: 10.5517/ccdc.csd.cc23232d
title: CCDC 1938432: Experimental Crystal Structure Determination

description: Related Article: Gao Ji-Xing|2019|CSD Communication|||
description: Related Article: Yuan-Yuan Tang, Yongfa Xie, Yong Ai, Wei-Qiang Liao, Peng-Fei Li, Takayoshi Nakamura, Ren-Gen Xiong|2020|J.Am.Chem.Soc.|142|21932|doi:10.1021/jacs.0c11416
DOI: 10.5517/ccdc.csd.cc23233f
title: CCDC 1938433: Experimental Crystal Structure Determination

description: Related Article: Gao Ji-Xing|2019|CSD Communication|||
description: Related Article: Yuan-Yuan Tang, Yongfa Xie, Yong Ai, Wei-Qiang Liao, Peng-Fei Li, Takayoshi Nakamura, Ren-Gen Xiong|2020|J.Am.Chem.Soc.|142|21932|doi:10.1021/jacs.0c11416
DOI: 10.5517/ccdc.csd.cc2322z8
title: CCDC 1938429: Experimental Crystal Structure Determination

description: Related Article: Gao Ji-Xing|2019|CSD Communication|||
description: Related Article: Yuan-Yuan Tang, Yongfa Xie, Yong Ai, Wei-Qiang Liao, Peng-Fei Li, Takayoshi Nakamura, Ren-Gen Xiong|2020|J.Am.Chem.Soc.|142|21932|doi:10.1021/jacs.0c11416
DOI: 10.5517/ccdc.csd.cc23230b
title: CCDC 1938430: Experimental Crystal Structure Determination

description: Related Article: Gao Ji-Xing|2019|CSD Communication|||
description: Related Article: Yuan-Yuan Tang, Yongfa Xie, Yong Ai, Wei-Qiang Liao, Peng-Fei Li, Takayoshi Nakamura, Ren-Gen Xiong|2020|J.Am.Chem.Soc.|142|21932|doi:10.1021/jacs.0c11416
DOI: 10.5517/ccdc.csd.cc23231c
title: CCDC 1938431: Experimental Crystal Structure Determination

description: Related Article: Gao Ji-Xing|2019|CSD Communication|||
description: Related Article: Yuan-Yuan Tang, Yongfa Xie, Yong Ai, Wei-Qiang Liao, Peng-Fei Li, Takayoshi Nakamura, Ren-Gen Xiong|2020|J.Am.Chem.Soc.|142|21932|doi:10.1021/jacs.0c11416
DOI: 10.6073/pasta/f999c0007dccf4ffc0b25746ff66fee2
title: Mohonk Preserve Amphibian and Water Quality Monitoring Dataset at 11 Vernal Pools from 1931-Present

description: "The Mohonk Preserve's Daniel Smiley Research Center has been monitoring species occupancy, reproductive success, and water quality of 11 vernal pools (Ski Loop, Bonticou, Terrace, Long Woodland Pool, Long Woodland Swamp, Oakwood, Sleepy Hollow, Hermits, North Mud Pond, Canaan, and Talus) on the Preserve each spring from April 1931 to May 2019 (present). This project aims to document changes in the reproductive behavior and phenology of amphibians and allow research access to historical, longitudinal records. The dataset is a paired record of amphibian occurence with environmental indicators spanning nearly 90 years of data collection. The dataset includes environmental conditions for the 730 sampling events associated with the species occurences with complete coverage air temperature and precipitation records and partial coverage for a variety of other weather and water quality measures. Species occurence data collection has included species identification and counts of live and dead adults, mated pairs, spermatophores, egg masses, juveniles, and tadpoles counts as well as a record of the level of frog calling. Weather conditions including precipitation, sky and wind codes; and water quality measurements including water temperature, pH, and depth. Collection of data was sporadic from 1931 - 1991 but has been collected consistently from 1991 to present. We also began monitoring dissolved oxygen, nitrate concentrations, and conductivity of the vernal pools using a YSI Sonde Professional Plus Instrument and turbidity using a turbidity tube in February 2018. The data collection is ongoing, as are digitization efforts, and the data package will receive periodic updates."
DOI: 10.6073/pasta/6549a2f67d5acb3495e9fba4145e298f
title: Mohonk Preserve Amphibian and Water Quality Monitoring Dataset at 11 Vernal Pools from 1931-Present

description: "The Mohonk Preserve's Daniel Smiley Research Center has been monitoring species occupancy, reproductive success, and water quality of 11 vernal pools (Ski Loop, Bonticou, Terrace, Long Woodland Pool, Long Woodland Swamp, Oakwood, Sleepy Hollow, Hermits, North Mud Pond, Canaan, and Talus) on the Preserve each spring from April 1931 to May 2019 (present). This project aims to document changes in the reproductive behavior and phenology of amphibians and allow research access to historical, longitudinal records. The dataset is a paired record of amphibian occurence with environmental indicators spanning nearly 90 years of data collection. The dataset includes environmental conditions for the 730 sampling events associated with the species occurences with complete coverage air temperature and precipitation records and partial coverage for a variety of other weather and water quality measures. Species occurence data collection has included species identification and counts of live and dead adults, mated pairs, spermatophores, egg masses, juveniles, and tadpoles counts as well as a record of the level of frog calling. Weather conditions including precipitation, sky and wind codes; and water quality measurements including water temperature, pH, and depth. Collection of data was sporadic from 1931 - 1991 but has been collected consistently from 1991 to present. We also began monitoring dissolved oxygen, nitrate concentrations, and conductivity of the vernal pools using a YSI Sonde Professional Plus Instrument and turbidity using a turbidity tube in February 2018. The data collection is ongoing, as are digitization efforts, and the data package will receive periodic updates."
DOI: 10.13145/bacdive134045.20191129.4.1
title: Rhizobium freirei

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive134046.20191129.4.1
title: Lactobacillus apis

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive134047.20191129.4.1
title: Halobellus inordinatus

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive134048.20191129.4.1
title: Formosa undariae

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive134049.20191129.4.1
title: Pontibacter toksunensis

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive134050.20191129.4.1
title: Planifilum composti

description: The range of data encompasses taxonomy, morphology, physiology, sampling and concomitant environmental conditions as well as molecular biology.
DOI: 10.13145/bacdive134051.20191129.4.1
title: Salinibacillus xinjiangensis

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