cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.21233/tw0w-pc50
title: Esmeer pollen dataset

description: Raw data for the Esmeer pollen dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.21233/v3ag-8h51
title: Barsbeek pollen dataset

description: Raw data for the Barsbeek pollen dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.34740/kaggle/dsv/4971573
title: Nifty-50 & Nifty Future 50 Dataset
DOI: 10.21233/3b7r-qp51
title: Gouderak pollen dataset

description: Raw data for the Gouderak pollen dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.21233/dzhm-1y20
title: Geestmerambacht pollen dataset

description: Raw data for the Geestmerambacht pollen dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.21233/mcm2-gp29
title: Uden I pollen dataset

description: Raw data for the Uden I pollen dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.21233/0mg6-0g67
title: Berkhout I pollen dataset

description: Raw data for the Berkhout I pollen dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.21233/b0qe-3q42
title: Rietheven pollen dataset

description: Raw data for the Rietheven pollen dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.21233/crsz-4e05
title: Rotwetering pollen dataset

description: Raw data for the Rotwetering pollen dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.21233/h190-ch47
title: Forest Lake diatom dataset

description: Raw data for the Forest Lake diatom dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.21233/phxv-bw50
title: Ossenzijl pollen dataset

description: Raw data for the Ossenzijl pollen dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.21233/rj1h-e433
title: Koudekerke pollen dataset

description: Raw data for the Koudekerke pollen dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.21233/p1w6-zw20
title: Hauwert - Zwaagdijk pollen dataset

description: Raw data for the Hauwert - Zwaagdijk pollen dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.21233/qxyc-6z79
title: Little Comfort Lake diatom dataset

description: Raw data for the Little Comfort Lake diatom dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.21233/gphg-k083
title: Lake Urmia II pollen dataset

description: Raw data for the Lake Urmia II pollen dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.21233/qz0k-8876
title: Forest Lake diatom dataset

description: Raw data for the Forest Lake diatom dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.21233/338t-6e29
title: Vaccarès III pollen dataset

description: Raw data for the Vaccarès III pollen dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.21233/n0qt-2z73
title: Woldweg pollen dataset

description: Raw data for the Woldweg pollen dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.6084/m9.figshare.22061129
title: Basic Characteristics, Research Process and Frontier Hotspots: Data Visualization Analysis of Physical Activity Research of Adolescents

description: <br> Research data
DOI: 10.6084/m9.figshare.22061129.v1
title: Basic Characteristics, Research Process and Frontier Hotspots: Data Visualization Analysis of Physical Activity Research of Adolescents

description: <br> Research data
DOI: 10.34740/kaggle/dsv/4971590
title: Damaraland mole-rat turning biases
DOI: 10.18112/openneuro.ds004484.v1.0.0
title: Neural activity induced by sensory stimulation can drive large-scale cerebrospinal fluid flow during wakefulness in humans
DOI: 10.5281/zenodo.7626150
title: Replication package for PHP code smells in web apps: evolution, survival and anomalies

description: Replication package (dataset and programs/scripts) and extra documents for article: <strong>PHP code smells in web apps: evolution, survival and anomalies</strong> Folder zips RQ1-5 - Extra graphics for all applications studied. In the article, due to lack of space, we only present graphics for two applications. Data folder zip - data used in the study and suitable for replication. The folder is divided in subfolders and there is an "explanation.txt". scripts.zip - PHP scripts used to pre-process data R scripts.zip - R scripts used to analyze and graphics
DOI: 10.5281/zenodo.7626149
title: Replication package for PHP code smells in web apps: evolution, survival and anomalies

description: Replication package (dataset and programs/scripts) and extra documents for article: <strong>PHP code smells in web apps: evolution, survival and anomalies</strong> Folder zips RQ1-5 - Extra graphics for all applications studied. In the article, due to lack of space, we only present graphics for two applications. Data folder zip - data used in the study and suitable for replication. The folder is divided in subfolders and there is an "explanation.txt". scripts.zip - PHP scripts used to pre-process data R scripts.zip - R scripts used to analyze and graphics
DOI: 10.15783/c7-3bk9-9t96
title: CRAWDAD dataset tuc/mysignals (v. 2019-10-30)

description: MySignals dataset was collected by a network of approx. 10 mobile smartphone (iPhones) users via the MySignals iPhone App (www.mysignals.gr) for a period of approximately 8 months. MySignal App records the received signal strength indicator (RSSI), in dBm, of the mobile serving cell, as well as their own location, through the GPS module of their smartphone and other contextual information (timestamp, deviceID etc.). Measurements and relevant information (e.g. cell ID, downlink carrier frequency and mobile user location) are saved temporarily in a local sqlite DB and uploaded periodically at a central web server DB for permanent storage. The systems allowed crowdsourcing in an automated and user transparent-way. The published data contains approximately 3 million GSM measurements and they are a subset of the entire MySignals dataset, utilized primarily for RF Source (e.g. GSM Base Station) localization case study and localization algorithm development. The reported measurements were collected in Chania, Greece for one central Base Stations (BS) for a major Greek Cellular provider. The massive dataset along with the novel Particle Filtering localization algorithm, allowed RF source location estimation error on the order of 50m, with the phones-sensors located in a grid of approx. 1000m x 1000m. Although the reported data were primarily used for BS localization, they were also used as mobile coverage maps; for example, coverage holes were able to be discovered. At a glance, each of the recorded measurements contains the following fields: timestamp, iPhoneUUID, RSS1, RSS5, latitude, longitude, accuracy, cellID, lac, mac, arfcn, etc.
description: Changelog: the initial version
DOI: 10.5281/zenodo.7626193
title: Meshulam, Goldberg, & Makov, Sharing Economy Environmental Impacts

description: Meshulam, T., S. Goldberg, and T. Makov. 2022. The environmental impacts of the sharing economy: A synthesis of empirical evidence. nDEE Framing Paper. Network for the Digital Economy and the Environment. The dataset includes a full list or papers included in the review, along with classification according to the different factors examined and environmental impact score assigned is available through the following link The Network for the Digital Economy.
DOI: 10.5281/zenodo.7626192
title: Meshulam, Goldberg, & Makov, Sharing Economy Environmental Impacts

description: Meshulam, T., S. Goldberg, and T. Makov. 2022. The environmental impacts of the sharing economy: A synthesis of empirical evidence. nDEE Framing Paper. Network for the Digital Economy and the Environment. The dataset includes a full list or papers included in the review, along with classification according to the different factors examined and environmental impact score assigned is available through the following link The Network for the Digital Economy.
DOI: 10.5281/zenodo.7402337
title: Restricted language access during childhood affects adult brain structure in selective language regions

description: Anatomical measurements data and analysis codes in R used in manuscript 'Restricted language access during childhood affects adult brain structure in selective language regions'.
DOI: 10.5281/zenodo.7402336
title: Restricted language access during childhood affects adult brain structure in selective language regions

description: Anatomical measurements data and analysis codes in R used in manuscript 'Restricted language access during childhood affects adult brain structure in selective language regions'.
DOI: 10.15783/c7nc70
title: CRAWDAD dataset stanford/gates (v. 2003-10-16)

description: This dataset contains traces of the Stanford CS department's wireless network.
description: Changelog: The initial version
DOI: 10.15783/c7s59x
title: CRAWDAD dataset st_andrews/sassy (v. 2011-06-03)

description: This is a dataset of sensor mote encounter records and corresponding social 
network data of a group of participants at University of St Andrews.
description: Changelog: the initial version
DOI: 10.15783/c7ww2f
title: CRAWDAD dataset st_andrews/locshare (v. 2011-10-12)

description: This is the traceset of a privacy study, including encounters, sharing 
preferences, and accelerometer readings. The study was conducted in 
St Andrews and London.
description: Changelog: the initial version
DOI: 10.15783/c71p4c
title: CRAWDAD dataset spitz/cellular (v. 2011-05-04)

description: This data set contains 6 months of mobile phone records of German Green party
politician Malte Spitz, stored by Deutsche Telekom in 2009-2010.
description: Changelog: the initial version
DOI: 10.15783/c75c7n
title: CRAWDAD dataset snu/wow_via_wimax (v. 2009-10-19)

description: These tcpdump traces were captured by Xiaofei Wang at Seoul 
        National University during the study of online gaming via Korean 
        WiBro (Mobile WiMAX) network.
description: Changelog: the initial version
DOI: 10.5519/qd.o7rqhe5d
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (1830 records)
DOI: 10.15482/usda.adc/1528523
title: Data from: Genetic diversity, population structure, and selection of core germplasm sets from the USDA sweetpotato (Ipomoea batatas) collection

description: R scripts and associated data used to select the sweetpotato core sets described in:
Slonecki, T. J., Rutter, W. B., Olukolu, B. A., Yencho, G. C., Jackson, D. M., & Wadl, P. A. (2023). Genetic diversity, population structure, and selection of breeder germplasm subsets from the USDA sweetpotato (Ipomoea batatas) collection. Frontiers in Plant Science, 13. https://doi.org/10.3389/fpls.2022.1022555
Resources in this dataset:
Title: Sweetpotato_phenotype_classification_scripts
File name: SP_phenotype_classification_scripts_7-29-21.R
Description: R Scripts used to format, classify, and retain individuals with 'rare' phenotypes into the core collections, generating the reduced 508 accession dataset from which the core sets were selected
Title: Sweetpotato_core_set_selection_scripts
File name: Core_set_selection_permutations_8-24-20.R
Description: Core set sampling scripts derived from previous R scripts and data generated in "SP_phenotype_classification_scripts"
Title: Original Phenotype data
File name: Core_Sets_VanRaden_Complete_Passport_Phenotype_July_2021.xlsx
Description: Phenotype data downloaded from GRIN sweetpotato collection and used for core set selection
Title: SP_core_selection_Rdata
File name: SP_core_selection_data_7-30-21.zip
Description: Data sets used in conjunction with Rscripts from Slonecki et. al. 2022
DOI: 10.15783/c76c7z
title: CRAWDAD dataset sapienza/probe-requests (v. 2013-09-10)

description: Mobile devices try to automatically switch to WiFi
connectivity whenever possible. To facilitate this automatic
process, they store the list of the names (SSID) of the
networks the user typically connects to and, periodically,
these SSIDs are sent in broadcast in the form of Probe
Request to search for available networks. The following
questions then rise naturally: "What do your smartphone
probes say about you?"; "Is it possible to infer
meaningful relationships among a group of people just using
their smartphones' probes?". To answer all these
questions, we organized a campaign of probe collection in
Rome (Italy): We targeted a university campus as well as
city-wide, national and international events. Our campaign
lasted three months, and we managed to collect, using
commodity hardware only, ~11 million probes sent by ~160
thousand different devices. The release contains anonymized
traces in .pcap format.
description: Changelog: the initial version
DOI: 10.5519/qd.46mjuqju
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (821464 records)
DOI: 10.5281/zenodo.7561981
title: Polymeric and inorganic sorbents as a green option to recover critical raw materials at trace levels from sea saltwork bitterns

description: Seawater mining is certainly a green alternative source for obtaining minerals as seawater is a natural renewable and unlimited available resource. Based on the lack of ways to obtain certain raw materials, the European Union has created the Critical Raw Materials (CRM) list. Seawater contains almost all elements, including some of those present in the CRM list, but only a few are economically feasible to be extracted as most of them are considered Trace Elements (TEs) (μg L−1). Therefore, an improvement in TEs extraction must be carried out. Saltwork brines can be considered as they are naturally concentrated (20–40 times) compared to seawater, which makes the extraction and recovery of TEs easier. Selective polymeric and inorganic sorbents were evaluated for TEs recovery (Li, B, Co, Ga, Ge, Rb, Sr, and Cs) from synthetic brines mimicking sea saltwork bitterns. Distribution coefficients were determined to characterize selectivity patterns toward TEs. Although amine and sulphonic sorbents showed low sorption of TEs, carboxylic sorbents presented good sorption and recovery for Co and Ga. Among phosphonic/phosphinic sorbents, MTX8010 achieved &gt;98% sorption and desorption of Ga. Aminophosphonic and iminodiacetic are the best sorbents for Sr, but its desorption was incomplete. B was only sorbed by N-Methylglucamine (&gt;98%) and N-Methylpyridine sorbents (75%), and its desorption was 37–64% and 66−&gt;99%, respectively. SbTreat presented good performance targeting Ga and Ge, and CsTreat demonstrated high Cs uptake, but its desorption was unachieved. The most highly selective sorbents could provide the possibility of building a green option to recover critical elements for societal development in the next decade.
DOI: 10.5281/zenodo.7561982
title: Polymeric and inorganic sorbents as a green option to recover critical raw materials at trace levels from sea saltwork bitterns

description: Seawater mining is certainly a green alternative source for obtaining minerals as seawater is a natural renewable and unlimited available resource. Based on the lack of ways to obtain certain raw materials, the European Union has created the Critical Raw Materials (CRM) list. Seawater contains almost all elements, including some of those present in the CRM list, but only a few are economically feasible to be extracted as most of them are considered Trace Elements (TEs) (μg L−1). Therefore, an improvement in TEs extraction must be carried out. Saltwork brines can be considered as they are naturally concentrated (20–40 times) compared to seawater, which makes the extraction and recovery of TEs easier. Selective polymeric and inorganic sorbents were evaluated for TEs recovery (Li, B, Co, Ga, Ge, Rb, Sr, and Cs) from synthetic brines mimicking sea saltwork bitterns. Distribution coefficients were determined to characterize selectivity patterns toward TEs. Although amine and sulphonic sorbents showed low sorption of TEs, carboxylic sorbents presented good sorption and recovery for Co and Ga. Among phosphonic/phosphinic sorbents, MTX8010 achieved &gt;98% sorption and desorption of Ga. Aminophosphonic and iminodiacetic are the best sorbents for Sr, but its desorption was incomplete. B was only sorbed by N-Methylglucamine (&gt;98%) and N-Methylpyridine sorbents (75%), and its desorption was 37–64% and 66−&gt;99%, respectively. SbTreat presented good performance targeting Ga and Ge, and CsTreat demonstrated high Cs uptake, but its desorption was unachieved. The most highly selective sorbents could provide the possibility of building a green option to recover critical elements for societal development in the next decade.
DOI: 10.15783/c7b59w
title: CRAWDAD dataset rutgers/noise (v. 2007-04-20)

description: We performed experiments wherein noise injection was used as a method for mapping real world wireless network topologies onto the ORBIT testbed. This dataset includes received signal strength indicator (RSSI) for each correctly received frame at receiver nodes for different levels of noise injected on the ORBIT testbed.
description: Changelog: the initial version
DOI: 10.6084/m9.figshare.22061213
title: GH_covid.txt

description: GH COVID-19 symptoms dataset
DOI: 10.6084/m9.figshare.22061213.v1
title: GH_covid.txt

description: GH COVID-19 symptoms dataset
DOI: 10.5281/zenodo.7625692
title: Sustainable recovery of critical elements from seawater saltworks bitterns by integration of high selective sorbents and reactive precipitation and crystallisation: Developing the probe of concept with on-site produced chemicals and energy

description: The availability of raw mineral resources containing elements included in the Critical Raw Materials (CRMs) list is a growing concern for the European Union. Sea mining has been identified as a promising secondary source. In particular, brines obtained in solar saltworks (bitterns) contain relevant amounts of valuable CRMs such as Mg(II), B(III), other alkaline/alkaline earth metals (Rb(I), Cs(I), Sr(II)) and transition/post-transition elements (Co(II), Ga(III), Ge(IV)). However, the low concentration of some of these elements (µg/L) requires an effort to develop recovery routes that are sustainable and economically feasible where the required chemicals and energy are produced on-site from the saltworks bitterns (i.e. HCl and NaOH). Even the conventional recovery processes such as ion exchange, sorption and precipitation, which have proved to be competitive for metals recovery, are challenged in the case of Trace Elements (TEs). This work studies the recovery of TEs included in the CRMs list from saltworks bitterns after ion exchange processes. First, batch crystallisation and reactive precipitation were tested for some target elements in single-component solutions: Sr(II), Co(II), Ga(III), Ge(IV) and B(III). Then, the experiments were carried out with multi-component synthetic solutions assuming different scenarios of bittern streams coming out a selective extraction stage using sorption and ion exchange processes. The targeted elements were recovered except for Ge(IV), where alternative routes need to be evaluated, as its precipitation involves the use of tannic acid or sulphide solutions that could not be produced from the bitterns. However, a further concentration step would be necessary to achieve element concentrations closer to the mineral phases saturation. Moreover, model simulations were performed using the PHREEQC program, which provided a good prediction of the experimental trends obtained in most cases.
DOI: 10.5281/zenodo.7625693
title: Sustainable recovery of critical elements from seawater saltworks bitterns by integration of high selective sorbents and reactive precipitation and crystallisation: Developing the probe of concept with on-site produced chemicals and energy

description: The availability of raw mineral resources containing elements included in the Critical Raw Materials (CRMs) list is a growing concern for the European Union. Sea mining has been identified as a promising secondary source. In particular, brines obtained in solar saltworks (bitterns) contain relevant amounts of valuable CRMs such as Mg(II), B(III), other alkaline/alkaline earth metals (Rb(I), Cs(I), Sr(II)) and transition/post-transition elements (Co(II), Ga(III), Ge(IV)). However, the low concentration of some of these elements (µg/L) requires an effort to develop recovery routes that are sustainable and economically feasible where the required chemicals and energy are produced on-site from the saltworks bitterns (i.e. HCl and NaOH). Even the conventional recovery processes such as ion exchange, sorption and precipitation, which have proved to be competitive for metals recovery, are challenged in the case of Trace Elements (TEs). This work studies the recovery of TEs included in the CRMs list from saltworks bitterns after ion exchange processes. First, batch crystallisation and reactive precipitation were tested for some target elements in single-component solutions: Sr(II), Co(II), Ga(III), Ge(IV) and B(III). Then, the experiments were carried out with multi-component synthetic solutions assuming different scenarios of bittern streams coming out a selective extraction stage using sorption and ion exchange processes. The targeted elements were recovered except for Ge(IV), where alternative routes need to be evaluated, as its precipitation involves the use of tannic acid or sulphide solutions that could not be produced from the bitterns. However, a further concentration step would be necessary to achieve element concentrations closer to the mineral phases saturation. Moreover, model simulations were performed using the PHREEQC program, which provided a good prediction of the experimental trends obtained in most cases.
DOI: 10.5517/ccdc.csd.cc27f5b6
title: CCDC 2068237: Experimental Crystal Structure Determination

description: Related Article: Huizhen Wang, Xingdong Li, Jiajun Li, Zhengfeng Xie, Guanjun Chang|2023|J.Mol.Struct.|1281|135085|doi:10.1016/j.molstruc.2023.135085
description: Related Article: Hui Zhen |2021|CSD Communication|||
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2bttcc
title: CCDC 2169763: Experimental Crystal Structure Determination

description: Related Article: Ming Li, Yumin Wang, Liangwei Yang, Zhifang Chai, Yaxing Wang, Shuao Wang|2022|Angew.Chem.,Int.Ed.|61|e202208440|doi:10.1002/anie.202208440
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2bv88r
title: CCDC 2170194: Experimental Crystal Structure Determination

description: Related Article: Ming Li, Yumin Wang, Liangwei Yang, Zhifang Chai, Yaxing Wang, Shuao Wang|2022|Angew.Chem.,Int.Ed.|61|e202208440|doi:10.1002/anie.202208440
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2cmtc6
title: CCDC 2193788: Experimental Crystal Structure Determination

description: Related Article: Haozhong Liang, Yuting Yang, Li Shao, Weijie Zhu, Xiaofeng Liu, Bin Hua, Feihe Huang|2023|J.Am.Chem.Soc.|145|2870|doi:10.1021/jacs.2c10674
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.