cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/nwd9m2t8v5.1
title: Data for: Comparative proteomics of geographically distinct saw-scaled viper (Echis carinatus) venoms from India
DOI: 10.13012/b2idb-1408573_v1
title: Data for: Auditing Race and Gender Discrimination in Online Housing Markets

description: This dataset contains the results of a three month audit of housing advertisements. It accompanies the 2020 ICWSM paper "Auditing Race and Gender Discrimination in Online Housing Markets". It covers data collected between Dec 7, 2018 and March 19, 2019. There are two json files in the dataset: The first contains a list of json objects representing advertisements separated by newlines. Each object includes the date and time it was collected, the image and title (if collected) of the ad, the page on which it was displayed, and the training treatment it received. The second file is a list of json objects representing a visit to a housing lister separated by newlines. Each object contains the url, training treatment applied, the location searched, and the metadata of the top sites scraped. This metadata includes location, price, and number of rooms. The dataset also includes the raw images of ads collected in order to code them by interest and targeting. These were captured by selenium and named using a perceptive hash to de-duplicate images.
DOI: 10.5281/zenodo.3905068
title: Dataset from "Is It Useful To Treat Blastocystis spp? A double-blind placebo-controlled randomised trial"

description: Dataset as STATA (.dta) files with corresponding do-files used for statistical analysis and tables.<br> Study registered on clinicaltrials.gov under the NTC number : 01521403
DOI: 10.5281/zenodo.3905067
title: Dataset from "Is It Useful To Treat Blastocystis spp? A double-blind placebo-controlled randomised trial"

description: Dataset as STATA (.dta) files with corresponding do-files used for statistical analysis and tables.<br> Study registered on clinicaltrials.gov under the NTC number : 01521403
DOI: 10.5281/zenodo.3228012
title: Datasets and Supporting Materials for the IPIN 2018 Competition Track 4 (Foot-Mounted IMU based Positioning, off-site)

description: This package contains the datasets and supplementary materials used in the IPIN 2018 Competition (Nantes, France). <strong>Contents:</strong> IPIN2018_CallForCompetition_v2.1: Call for competition including the technical annex describing the competition 01-Logfiles: This folder contains 2 zip files.<br> - HKB08.zip : for sensors bias estimation.<br> - HKB82.zip : for trajectory estimation.<br> Each archive contains 4 files :<br> - HKBxx_mag.csv : magnetometer data<br> - HKBxx_sti.csv : inertial data<br> - HKBxx_ublox.ubx : GNSS data<br> - HKBxx_INFO.txt : info file<br> see page 16 of IPIN2018_CallForCompetition_v2.1.pdf for more details. 02-Supplementary_Materials: This folder contains the datasheet files of the different sensors. 03-Evaluation: This folder contains the scripts used to calculate the competition metric, the 75th percentile on all evaluation points. The ground truth is provided csv file. <strong>Please, cite the following works when using the datasets included in this package:</strong> Ortiz, M.; Perul, J.; Torres-Sospedra, J. Renaudin, V. Datasets and Supporting Materials for the IPIN 2018 Competition Track 4 (Foot-Mounted IMU based Positioning, off-site), Zenodo 2018 http://dx.doi.org/10.5281/zenodo.3228012 <strong>Additional information can be found at:</strong> http://evaal.aaloa.org/2018/call-for-competitions http://ipin-conference.org/2018/ipincompetition/ <strong>For any further questions about the database and this competition track, please contact to: </strong> Miguel Ortiz (miguel.ortiz@ifsttar.fr) at the French Institute of Science and Technology for Transport, Development and Networks (IFSTTAR) France.
description: We would like to thank Atlantis le Centre for sponsoring the competition track with an award for the winning team. We are also grateful to Viametris for producing the ground truth with their the mobile mapping technology.
DOI: 10.5281/zenodo.3228011
title: Datasets and Supporting Materials for the IPIN 2018 Competition Track 4 (Foot-Mounted IMU based Positioning, off-site)

description: This package contains the datasets and supplementary materials used in the IPIN 2018 Competition (Nantes, France). <strong>Contents:</strong> IPIN2018_CallForCompetition_v2.1: Call for competition including the technical annex describing the competition 01-Logfiles: This folder contains 2 zip files.<br> - HKB08.zip : for sensors bias estimation.<br> - HKB82.zip : for trajectory estimation.<br> Each archive contains 4 files :<br> - HKBxx_mag.csv : magnetometer data<br> - HKBxx_sti.csv : inertial data<br> - HKBxx_ublox.ubx : GNSS data<br> - HKBxx_INFO.txt : info file<br> see page 16 of IPIN2018_CallForCompetition_v2.1.pdf for more details. 02-Supplementary_Materials: This folder contains the datasheet files of the different sensors. 03-Evaluation: This folder contains the scripts used to calculate the competition metric, the 75th percentile on all evaluation points. The ground truth is provided csv file. <strong>Please, cite the following works when using the datasets included in this package:</strong> Ortiz, M.; Perul, J.; Torres-Sospedra, J. Renaudin, V. Datasets and Supporting Materials for the IPIN 2018 Competition Track 4 (Foot-Mounted IMU based Positioning, off-site), Zenodo 2018 http://dx.doi.org/10.5281/zenodo.3228012 <strong>Additional information can be found at:</strong> http://evaal.aaloa.org/2018/call-for-competitions http://ipin-conference.org/2018/ipincompetition/ <strong>For any further questions about the database and this competition track, please contact to: </strong> Miguel Ortiz (miguel.ortiz@ifsttar.fr) at the French Institute of Science and Technology for Transport, Development and Networks (IFSTTAR) France.
description: We would like to thank Atlantis le Centre for sponsoring the competition track with an award for the winning team. We are also grateful to Viametris for producing the ground truth with their the mobile mapping technology.
DOI: 10.17632/nph7xtjnmg.1
title: Data for: Rapid Annotation of Photosynthetic Systems (RAPS): automated algorithm to generate genome-scale metabolic networks from algal genomes

description: The RAPS algoritihim and associated files. The 7 new genome scale models for algae
DOI: 10.21227/0vfy-2220
title: Coronavirus (COVID-19) Geo-tagged Tweets Dataset

description: This dataset contains the IDs of geo-tagged tweets. The tweets are captured by an on-going project deployed at https://live.rlamsal.com.np. The model monitors the real-time Twitter feed for these keywords - “corona”, "coronavirus", "covid", "pandemic", "lockdown", "quarantine", "hand sanitizer", "ppe", "n95", different possible variants of "sarscov2", "nCov", "covid-19", "ncov2019", "2019ncov", "flatten(ing) the curve", "social distancing", "work(ing) from home" and the respective hashtag of all these keywords. Complying with Twitter's content redistribution policy, only the tweet IDs are shared. You can re-construct the dataset by hydrating these IDs. The tweet IDs in this dataset belong to the tweets tweeted providing an exact location. Please note that this dataset should be solely used for non-commercial research purposes (ignore every other LICENSE category given on this page).-------------------------------------------------------------------------Coronavirus (COVID-19) Tweets Dataset(200+ Million English Language Tweets; ongoing collection)-------------------------------------------------------------------------Note: I started sharing the IDs of the tweets that had exact 'point' location information, only since April 28, 2020, with some genuine requests coming in from academic researchers who did not want to hydrate the whole lists of IDs shared in the Coronavirus (COVID-19) Tweets Dataset.Update: I have received a lot of requests, especially from Social Science researchers, to also make the geo-tagged tweets created between March 20, 2020, and April 28, 2020, available in this dataset. Hydrating the millions of tweet IDs may come as a tedious task for people with less technical expertise. Therefore, I have started hydrating the IDs provided in the Coronavirus (COVID-19) Tweets Dataset, and I will be sharing the geo-tagged tweets posted in between these dates as the hydration task goes on. Bookmark this page for further updates.Why are only tweet IDs being shared? Twitter's content redistribution policy restricts the sharing of tweet information other than tweet IDs and/or user IDs. Twitter wants researchers always to pull fresh data. It is because a user might delete a tweet or make their profile protected. If the same tweet has already been pulled and shared on a public domain, it might make the user/community vulnerable to many inferences coming out of the shared data which currently does not exist or is private.
DOI: 10.5281/zenodo.8231433
title: SEED FUNCTIONAL TRAITS

description: We assessed eight seed functional traits of tropical tree species, seeking for the ones that best explain their establishment in direct seeding restoration projects, aiming at helping species selection for future projects.
DOI: 10.5281/zenodo.8231432
title: SEED FUNCTIONAL TRAITS

description: We assessed eight seed functional traits of tropical tree species, seeking for the ones that best explain their establishment in direct seeding restoration projects, aiming at helping species selection for future projects.
DOI: 10.6084/m9.figshare.23802975
title: Category I Studies & Category II Studies

description: Two categories of academic papers collected and reviewed: Category I Studies (37 academic papers focusing on MALL); Category II Studies (19 papers focusing on frameworks for mobile (language) learning).
DOI: 10.6084/m9.figshare.23802975.v2
title: Category I Studies & Category II Studies

description: Two categories of academic papers collected and reviewed: Category I Studies (37 academic papers focusing on MALL); Category II Studies (19 papers focusing on frameworks for mobile (language) learning).
DOI: 10.6084/m9.figshare.23802975.v1
title: Untitled Item

description: Two categories of academic papers collected and reviewed: <b>Online Resource</b><b> </b><b>1</b><b> </b>Category I Studies (37 academic papers focusing on MALL); <b>Online Resource</b><b> </b><b>2</b><b> </b>Category II Studies (19 papers focusing on frameworks for mobile (language) learning).
DOI: 10.5281/zenodo.8199480
title: Covid-19 Vaccine Monitoring project (CVM)-Electronic Health Record data sources Codelist

description: This is the code list that was used to identify outcomes and covariates (those tagged as in narrow) in electronic health records of participating data sources in the the CVM study which was addressing the following questions 1)<strong> To create and assess readiness of electronic health record data sources for rapid evaluation of safety signals by </strong> Providing an overview of the methods for identification of COVID-19 vaccine exposure in the data sources Monitoring the number of individuals exposed to any COVID-19 vaccine and to compare this to COVID-19 vaccine exposure (benchmark: ECDC vaccine tracker)1 Generation of updated background rates for AESIs <strong>2) To conduct rapid safety assessment studies using electronic healthcare records and support EMA safety assessments. </strong> The protocol for this study is publicly available www.encepp.eu/encepp/viewResource.htm?id=42637. The report with results using the code list is publicly available on Zenodo as well.
description: Disclaimer & acknowledgement The research leading to these results was conducted as part of the activities of the EU PE&PV (Pharmacoepidemiology and Pharmacovigilance) Research Network (led by Utrecht University) in collaboration with the Vaccine Monitoring Collaboration for Europe network (VAC4EU). Scientific work for this project was coordinated by the University Medical Center Utrecht. The project has received support from the European Medicines Agency under the Framework service contract nr EMA/2018/23/PE. This report expresses the opinion of the authors and may not be understood or quoted as being made on behalf of or reflecting the position of the European Medicines Agency or one of its committees or working parties.
DOI: 10.5281/zenodo.7914572
title: 75-kyr paired mean summer temperature (MST) and moisture balance (BIT-index) data for eastern equatorial Africa based on GDGT distributions in the DeepCHALLA sediment sequence

description: The DeepCHALLA (DCH) GDGT-based climate proxy data series consist of paired measurements on 373 discrete 2-cm-thick sediment samples, represented by their DCH event-free depth in meter (mefd). Section depth center refers to the distance (in cm) of the sample’s center from the top of the individual core section as represented by its DCH core code. Sediment age is based on the age model as presented in Fig. 2 in Baxter et al. (2023). Mean Summer Temperature (MST) was calculated from the distribution of sedimentary brGDGTs according to Pearson et al. (2011) and rescaled using an ensemble reconstruction for eastern Africa covering the last 25 ka (Extended Data Fig. 4 in Baxter et al., 2023). The branched versus isoprenoid tetraether (BIT) index of sedimentary brGDGTs from Lake Chala, reflecting lake water-balance variation, was calculated according to Hopmans et al. (2004).
description: {"references": ["Hopmans E. C., et al. A novel proxy for terrestrial organic matter in sediments based on branched and isoprenoid tetraether lipids. Earth Planet. Sci. Lett. 224, 107\u2013116 (2004).", "Pearson, E. J. et al. A lacustrine GDGT-temperature calibration from the Scandinavian Arctic to Antarctic: Renewed potential for the application of GDGT", "Baxter A. J., et al. Reversed Holocene temperature-moisture relationship in the Horn of Africa. Nature, accepted for publication."]}
DOI: 10.5281/zenodo.7914573
title: 75-kyr paired mean summer temperature (MST) and moisture balance (BIT-index) data for eastern equatorial Africa based on GDGT distributions in the DeepCHALLA sediment sequence

description: The DeepCHALLA (DCH) GDGT-based climate proxy data series consist of paired measurements on 373 discrete 2-cm-thick sediment samples, represented by their DCH event-free depth in meter (mefd). Section depth center refers to the distance (in cm) of the sample’s center from the top of the individual core section as represented by its DCH core code. Sediment age is based on the age model as presented in Fig. 2 in Baxter et al. (2023). Mean Summer Temperature (MST) was calculated from the distribution of sedimentary brGDGTs according to Pearson et al. (2011) and rescaled using an ensemble reconstruction for eastern Africa covering the last 25 ka (Extended Data Fig. 4 in Baxter et al., 2023). The branched versus isoprenoid tetraether (BIT) index of sedimentary brGDGTs from Lake Chala, reflecting lake water-balance variation, was calculated according to Hopmans et al. (2004).
description: {"references": ["Hopmans E. C., et al. A novel proxy for terrestrial organic matter in sediments based on branched and isoprenoid tetraether lipids. Earth Planet. Sci. Lett. 224, 107\u2013116 (2004).", "Pearson, E. J. et al. A lacustrine GDGT-temperature calibration from the Scandinavian Arctic to Antarctic: Renewed potential for the application of GDGT", "Baxter A. J., et al. Reversed Holocene temperature-moisture relationship in the Horn of Africa. Nature, accepted for publication."]}
DOI: 10.5281/zenodo.7914324
title: Absolute time markers and age-depth model for the last 75 kyr of Lake Chala sediments

description: The 171 time markers include 162 <sup>14</sup>C ages on bulk organic matter or grass charcoal in sediment intervals of the composite Challacea (CH03, CH05) sequence (Blaauw et al., 2011), transferred to the DeepCHALLA (DCH) composite sequence using mm- or cm-scale cross-correlation of visual lithostratigraphy (Baxter et al., 2023). The other nine time markers are six <sup>210</sup>Pb-dated intervals from gravity core CH99-1G transferred to the CH05 and DCH sequences using 1-cm resolution magnetic-susceptibility profiles (Blaauw et al., 2011), the November 2016 (DCH) and March 2005 (CH05) sediment-water interfaces, and the YTT cryptotephra (Baxter et al., 2023). Lab codes stand for the Poznan Radiocarbon Laboratory (Poz-), the Chrono Centre at Queen’s University in Belfast (UBA-), the Isotope Physics Laboratory at the University of Groningen (GrA-), the Saint-Croix Watershed Research Station of the Science Museum of Minnesota (SMM), and the Cambridge Tephra Laboratory (CT-). ‘Offset’ refers to the old-carbon age offset of bulk organic <sup>14</sup>C dates, modelled using 16 paired dates on bulk organic matter and grass charcoal and three sections allowing <sup>14</sup>C wiggle-match dating using closely spaced bulk organic samples (Blaauw et al., 2011). The compound error on corrected <sup>14</sup>C ages was calculated as SQRT ((Age Error)^2 + (Offset STD)^2). All dated intervals are represented by their DCH event-free depth in meter (mefd).
description: Supplementary Table to 'Reversed Holocene temperature-moisture relationship in the Horn of Africa, Baxter et al., 2023, Nature.
description: {"references": ["Blaauw, M. et al. High-resolution 14C dating of a 25,000-year lake-sediment record from equatorial East Africa. Quat. Sci. Rev. 30, 3043\u20133059 (2011).", "Baxter A. J., et al. Reversed Holocene temperature-moisture relationship in the Horn of Africa. Nature, accepted for publication."]}
DOI: 10.5281/zenodo.7914323
title: Absolute time markers and age-depth model for the last 75 kyr of Lake Chala sediments

description: The 171 time markers include 162 <sup>14</sup>C ages on bulk organic matter or grass charcoal in sediment intervals of the composite Challacea (CH03, CH05) sequence (Blaauw et al., 2011), transferred to the DeepCHALLA (DCH) composite sequence using mm- or cm-scale cross-correlation of visual lithostratigraphy (Baxter et al., 2023). The other nine time markers are six <sup>210</sup>Pb-dated intervals from gravity core CH99-1G transferred to the CH05 and DCH sequences using 1-cm resolution magnetic-susceptibility profiles (Blaauw et al., 2011), the November 2016 (DCH) and March 2005 (CH05) sediment-water interfaces, and the YTT cryptotephra (Baxter et al., 2023). Lab codes stand for the Poznan Radiocarbon Laboratory (Poz-), the Chrono Centre at Queen’s University in Belfast (UBA-), the Isotope Physics Laboratory at the University of Groningen (GrA-), the Saint-Croix Watershed Research Station of the Science Museum of Minnesota (SMM), and the Cambridge Tephra Laboratory (CT-). ‘Offset’ refers to the old-carbon age offset of bulk organic <sup>14</sup>C dates, modelled using 16 paired dates on bulk organic matter and grass charcoal and three sections allowing <sup>14</sup>C wiggle-match dating using closely spaced bulk organic samples (Blaauw et al., 2011). The compound error on corrected <sup>14</sup>C ages was calculated as SQRT ((Age Error)^2 + (Offset STD)^2). All dated intervals are represented by their DCH event-free depth in meter (mefd).
description: Supplementary Table to 'Reversed Holocene temperature-moisture relationship in the Horn of Africa, Baxter et al., 2023, Nature.
description: {"references": ["Blaauw, M. et al. High-resolution 14C dating of a 25,000-year lake-sediment record from equatorial East Africa. Quat. Sci. Rev. 30, 3043\u20133059 (2011).", "Baxter A. J., et al. Reversed Holocene temperature-moisture relationship in the Horn of Africa. Nature, accepted for publication."]}
DOI: 10.5281/zenodo.7914121
title: Chemical composition of DCH-67.55 cryptotephra glass shards from Lake Chala

description: Mean composition data based on <em>n</em> single DeepCHALLA cryptotephra glass shard analyses of major and minor element oxides (by WDS-EPMA, <em>n</em>=32) and trace elements (by LA-ICP-MS, <em>n</em>=19). Also shown are compositions of secondary glass standards measured during the same instrumental runs, and their correspondence with approximate expected values for in-house Lipari glass and with GeoRem-preferred (pref. val.) or true values for MPI-DING glass secondary standards (Marshall et al., 2009; Scot and Skilling, 1999).
description: Supplementary Table 1 for 'Reversed Holocene temperature-moisture relationship in the Horn of Africa, by Baxter et al., 2023. Nature.
description: {"references": ["Marshall, A.S. et al. Fractionation of peralkaline silicic magmas: The greater Olkaria volcanic complex, Kenya Rift Valley. J. Petrol. 50, 323\u2013359 (2009).", "Scott, S.C., Skilling, I.P. The role of tephrachronology in recognizing synchronous calderaforming events at the Quaternary volcanoes Longonot and Suswa, south Kenya Rift. Geol. Soc. London, Spec. Publ. 161, 47\u201367 (1999)."]}
DOI: 10.5281/zenodo.7914120
title: Chemical composition of DCH-67.55 cryptotephra glass shards from Lake Chala

description: Mean composition data based on <em>n</em> single DeepCHALLA cryptotephra glass shard analyses of major and minor element oxides (by WDS-EPMA, <em>n</em>=32) and trace elements (by LA-ICP-MS, <em>n</em>=19). Also shown are compositions of secondary glass standards measured during the same instrumental runs, and their correspondence with approximate expected values for in-house Lipari glass and with GeoRem-preferred (pref. val.) or true values for MPI-DING glass secondary standards (Marshall et al., 2009; Scot and Skilling, 1999).
description: Supplementary Table 1 for 'Reversed Holocene temperature-moisture relationship in the Horn of Africa, by Baxter et al., 2023. Nature.
description: {"references": ["Marshall, A.S. et al. Fractionation of peralkaline silicic magmas: The greater Olkaria volcanic complex, Kenya Rift Valley. J. Petrol. 50, 323\u2013359 (2009).", "Scott, S.C., Skilling, I.P. The role of tephrachronology in recognizing synchronous calderaforming events at the Quaternary volcanoes Longonot and Suswa, south Kenya Rift. Geol. Soc. London, Spec. Publ. 161, 47\u201367 (1999)."]}
DOI: 10.6084/m9.figshare.23938011
title: 20230814_starrydata2

description: All data on Starrydata2, a database of experimental properties in the field of inorganic materials
DOI: 10.6084/m9.figshare.23938011.v1
title: 20230814_starrydata2

description: All data on Starrydata2, a database of experimental properties in the field of inorganic materials
DOI: 10.21227/6bj3-7720
title: Dataset for FFT of IQ samples: LTE, NR, and Overlap

description: Dynamic Spectrum Sharing (DSS) is an enabler for a seamless transition from 4G Long TermEvolution (LTE) to 5G New Radio (NR) by utilizing existing LTE bands without static spectrum re-farming. In this paper, we propose a cross-band DSS scheme that utilizes the Multimedia BroadcastMulticast Service over a Single Frequency Network (MBSFN) feature of an LTE network and theMulticast Broadcast Service (MBS) feature of an NR network. The proposed DSS scheme utilizes LTEand NR resource controllers to assign muted MBSFN subframes on the LTE band and muted MBSsubframes on the NR band based on traffic needs. In contrast to the state-of-the-art, the proposed DSSscheme does not require a coordination signaling channel between the LTE and NR networks. Instead, amachine learning-based Technology Recognition and Traffic Characterization (TRTC) system is used toidentify and characterize traffic patterns. The LTE and NR resource controllers use the TRTC to sensethe muted subframes and offload traffic accordingly. On average, the proposed DSS, as compared tostatic band configuration, improves the LTE throughput, NR throughput, LTE band spectrum utilizationefficiency, and NR band spectrum utilization efficiency by 13.5%, 8.3%, 11.8%, and 20.7%, respectively.
DOI: 10.17876/plate/dr.1/001
title: Table of archives of photographic plates

description: An archive in APPLAUSE is a collection of plates, logbooks, and extracted data that originate from a specific instrument. The archive table contains one row for each plate archive.An archive is defined by Institution, Observatory location, Instrument. Unique Identifier <code>archive_id</code>