cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.7484163
title: Conversion from forest to agriculture in the Brazilian Amazon from 1985 to 2021

description: This file collection contains data with conversion length from forests to agriculture in the Brazilian Amazon, from 1985 to 2021. Calculations were based in the MapBiomas thematic maps. More information can be found in the repository website (https://github.com/hugotseixas/forest-agri-conversion/tree/3.0.0). The collection is composed of six sets of data: <strong>c_raster_mosaic</strong>: raster files of the Amazon biome with values of conversions; <strong>c_raster_tiles</strong>: raster files of smaller raster tiles, with values of conversions; <strong>c_tabular_dataset</strong>: a group of tables that contains data about conversions; <strong>figures</strong>: data to create figures of the manuscript; <strong>raw_raster_tiles</strong>: raster files of smaller raster tiles with land use and land cover classification data from MapBiomas; <strong>validation</strong>: data used to performed validation of the conversion results.
DOI: 10.5281/zenodo.7484162
title: Conversion from forest to agriculture in the Brazilian Amazon from 1985 to 2021

description: This file collection contains data with conversion length from forests to agriculture in the Brazilian Amazon, from 1985 to 2021. Calculations were based in the MapBiomas thematic maps. More information can be found in the repository website (https://github.com/hugotseixas/forest-agri-conversion/tree/3.0.0). The collection is composed of six sets of data: <strong>c_raster_mosaic</strong>: raster files of the Amazon biome with values of conversions; <strong>c_raster_tiles</strong>: raster files of smaller raster tiles, with values of conversions; <strong>c_tabular_dataset</strong>: a group of tables that contains data about conversions; <strong>figures</strong>: data to create figures of the manuscript; <strong>raw_raster_tiles</strong>: raster files of smaller raster tiles with land use and land cover classification data from MapBiomas; <strong>validation</strong>: data used to performed validation of the conversion results.
DOI: 10.34740/kaggle/dsv/4774143
title: Mahanagar Yatayat Dataset
DOI: 10.21227/ye8y-er02
title: AD2S experiments

description: For Internet-based service companies, anomaly detection on data streams is critical in troubleshooting, seeking to maintain service quality and reliability. Most of known detection methods have an underlying assumption that the data are always continuous. In practical applications, however, we learn that many real-world data are sporadic. It incurs particular challenges for the task of anomaly detection, for which the common preprocessing of downsampling on sporadic data can omit potential anomalies and delay alarms. In this paper, we propose an adaptive anomaly detection method on sporadic data streams named AD2S. It consists of two modules: a monitor module to continuously and adaptively determine the measure windows for observations, and a detection module that utilizes an isolation partition strategy to estimate the anomaly degree of each incoming observation. Our analysis demonstrates that the proposed method has constant amortized time and space complexity. Based on experimental results on both synthetic and public real-world datasets, our method outperforms other state-of-the-art methods in anomaly detection on sporadic data streams, and the code is open-sourced.
DOI: 10.6084/m9.figshare.21780908
title: IFAS rural raw data .xlsx

description: this raw data are about anemia femala adolescents's related factor in rural area. Seventy-eight female adolescents enrolled in the cross-sectional study from December 2021 to January 2022 in Sirnagalih Village, Jonggol, Bogor Regency, West Java Province, Indonesia. The independent variables used were the menstrual cycle, duration of menstruation, and consumption of blood-added tablets. The dependent variable (outcome) used was the incidence of anemia in adolescent girls. Confounding variables suspected in this study were age and education level. We used the purposive sampling technique and The Lemehosw sample size formula.26 The inclusion criteria are female, aged 10-19 years, have menstrual periods, the inhabitant of Sirnagalih Village, and gave their consent. The questions in the questionnaire are menstrual cycle, duration of menstruation, and consumption of iron tablets. The menstrual cycle is the distance between the start of the last menstrual period and the next menstruation. Menstrual cycles are categorized into two, standard 21-35 days and abnormal if the menstrual cycle is more than 35 days. Menstruation duration is the duration (day) experienced by a woman during the menstrual process. Menstruation duration is categorized into two categories, namely normal (3-8 days) and abnormal (&lt;3 days or &gt;8 days). Respondents are said to be taking Fe tablets if they consume iron tablets regularly every week (according to the program).
DOI: 10.5281/zenodo.7484195
title: Datasets related to publication "Improving the Resolution of Comb-Based Frequency Measurements Using a Track-And-Hold Amplifier"

description: The zip folder contains datasets related to paper "Improving the Resolution of Comb-Based Frequency Measurements Using a Track-And-Hold Amplifier", https://doi.org/10.1103/PhysRevApplied.18.064010, by M. Risaro et al., Phys. Rev. Applied <strong>18</strong>, 064010 (2022). Datasets are subdivided according to Figure number (context is given in the linked paper). Description txt files are provided where data are not self-expanatory
DOI: 10.5281/zenodo.7484196
title: Datasets related to publication "Improving the Resolution of Comb-Based Frequency Measurements Using a Track-And-Hold Amplifier"

description: The zip folder contains datasets related to paper "Improving the Resolution of Comb-Based Frequency Measurements Using a Track-And-Hold Amplifier", https://doi.org/10.1103/PhysRevApplied.18.064010, by M. Risaro et al., Phys. Rev. Applied <strong>18</strong>, 064010 (2022). Datasets are subdivided according to Figure number (context is given in the linked paper). Description txt files are provided where data are not self-expanatory
DOI: 10.6084/m9.figshare.21780941
title: Table S2

description: The read count values of all samples for differential expression profiling analysis.
DOI: 10.6084/m9.figshare.21780941.v1
title: Table S2

description: The read count values of all samples for differential expression profiling analysis.
DOI: 10.6084/m9.figshare.21780947
title: Table S3

description: The gene list for heatmap analysis between oil palm samples
DOI: 10.6084/m9.figshare.21780947.v1
title: Table S3

description: The gene list for heatmap analysis between oil palm samples
DOI: 10.6084/m9.figshare.21780944
title: Table S1

description: The comparison of high-, medium-, and low-oil yielding between different genetic populations. The oil yield data (Oil to Bunch percentage) of each selected individual.
DOI: 10.6084/m9.figshare.21780944.v2
title: Table S1

description: The comparison of high-, medium-, and low-oil yielding between different genetic populations. The oil yield data (Oil to Bunch percentage) of each selected individual.
DOI: 10.6084/m9.figshare.21780944.v1
title: Table S1

description: The comparison of high-, medium-, and low-oil yielding between different genetic populations. The oil yield data (Oil to Bunch percentage) of each selected individual.
DOI: 10.6084/m9.figshare.21221006
title: Evaluating the Accuracy of a New Artificial Intelligence Based Symptom Checker: A Clinical Vignette Study : results document

description: Evaluating the Accuracy of a New Artificial Intelligence Based Symptom Checker: A Clinical Vignette Study - results document
DOI: 10.6084/m9.figshare.21221006.v4
title: Evaluating the Accuracy of a New Artificial Intelligence Based Symptom Checker: A Clinical Vignettes Study : results document

description: Evaluating the Accuracy of a New Artificial Intelligence Based Symptom Checker: A Clinical Vignettes Study - results document
DOI: 10.6084/m9.figshare.21221036
title: Evaluating the Accuracy of a New Artificial Intelligence Based Symptom Checker: A Clinical Vignette Study: Vignette Suite and Screenshots

description: Evaluating the Accuracy of a New Artificial Intelligence Based Symptom Checker: A Clinical Vignette Study: Vignette Suite and Screenshots
DOI: 10.5281/zenodo.7484308
title: LISTING Extraction Results

description: The file is in json format and contains a list of entities (which may be known or NIL) with the mentions that have been identified for them. The fields are as follows: <pre><code>idx: Index of the entity name: Name of the entity (None, if NIL-entity) is_nil: Whether the entity is a NIL-entity mentions: (list) page: Name of the page where the mention is found listing: Index of the listing where the mention is found item: Index of the item within the listing where the mention is found text: Mention text</code></pre>
DOI: 10.5281/zenodo.7484307
title: LISTING Extraction Results

description: The file is in json format and contains a list of entities (which may be known or NIL) with the mentions that have been identified for them. The fields are as follows: <pre><code>idx: Index of the entity name: Name of the entity (None, if NIL-entity) is_nil: Whether the entity is a NIL-entity mentions: (list) page: Name of the page where the mention is found listing: Index of the listing where the mention is found item: Index of the item within the listing where the mention is found text: Mention text</code></pre>
DOI: 10.5281/zenodo.7188861
title: Supplementary Data for "The phosphorus budget of the silicate Earth based on an updated estimate of P/Nd ratio".

description: Supplementary data tables for Ma et al. (2022) associated with the paper entitled "The phosphorus budget of the silicate Earth based on an updated estimate of P/Nd ratio".
DOI: 10.5281/zenodo.6973503
title: Supplementary Data for "The phosphorus budget of the silicate Earth based on an updated estimate of P/Nd ratio".

description: Supplementary data tables for Ma et al. (2022) associated with the paper entitled "The phosphorus budget of the silicate Earth based on an updated estimate of P/Nd ratio".
DOI: 10.5281/zenodo.7477643
title: XOR_TyDi_ZeroShot_for_PLAID-ColBERTv2

description: XOR TyDi query and document files for running PLAID-ColBERTv2 experiments from "Moving Beyond Downstream Task Accuracy for Information Retrieval Benchmarking".
DOI: 10.5281/zenodo.7477642
title: XOR_TyDi_ZeroShot_for_PLAID-ColBERTv2

description: XOR TyDi query and document files for running PLAID-ColBERTv2 experiments from "Moving Beyond Downstream Task Accuracy for Information Retrieval Benchmarking".
DOI: 10.5281/zenodo.7484380
title: Supporting materials for inorganics-2154095

description: Supporting Information Cif files Cifcheck
DOI: 10.5281/zenodo.7484379
title: Supporting materials for inorganics-2154095

description: Supporting Information Cif files Cifcheck
DOI: 10.5281/zenodo.7438523
title: NOAA PSL CL31 Ceilometer Backscatter and Cloud Base Height Data for SPLASH

description: This dataset contains daily files from a CL31 ceilometer manufactured by Vaisala that was deployed at Roaring Judy in the East River Watershed in Colorado (38.7169321 N, 106.853031 W, 2494 m above mean sea level) from 21 October 2021 to 28 January 2022 as part of the National Oceanic and Atmospheric Administration (NOAA) Study of Precipitation, the Lower Atmosphere, and Surface for Hydrometeorology (SPLASH) campaign. The files contain backscatter profiles, cloud base heights, and visibility. The ceilometer measures vertical profiles of backscatter using laser technology. From the backscatter profiles, cloud base height and vertical visibility are determined using with the Vaisala software CL-view. For details on the instrument specifics and the methods, see the manufacturer manual (cl31usersguide.pdf). The file format is the original Vaisala format (.DAT). For a description of the format see the manufacturer manual. To convert the .DAT file format to netcdf format, the open source command line Python program ‘cl2nc’ (https://github.com/peterkuma/cl2nc) can, for example, be used. The file naming conventions for the .DAT files are as follows: NOAA_PSL_CL31_Roaring Judy_yyyymmdd_HH.DAT with yyyy: Year mm: Month dd: Day HH: Hour when the first sample was written to the file The time stamp of all data is in UTC.
DOI: 10.5281/zenodo.5616625
title: Supplemental material for / Ergänzende Materialien zu: Huber, R./Harb, Ch. (2022) Fischerhütten des frühen Jungneolithikums in Cham-Eslen (Kanton Zug). Antiqua 56. Basel. ISBN 978-3-906182-32-2

description: (English version below) Ergänzende Datentabellen und weitere Angaben zu den Kapiteln <strong>2.2 Mikromorphologie</strong> (Ismail-Meyer, K.), <strong>3.3 Netzsenker</strong> (Huber, R.), <strong>3.4 Silex- und Bergkristallartefakte</strong> (Huber, R., mit Beiträgen von Affolter, J.), <strong>4.1 Die Tierknochen und Knochenartefakte</strong> (Rehazek, A.) sowie <strong>4.2 Pflanzliche Reste</strong> (Steiner, B. L., mit Beiträgen von Jacomet, St., Martinoli, D., Brombacher, Ch., Boissezon, A. und Ismail-Meyer, K.). Vorhandene Dateien: - 2.2 Ismail-Meyer_Mikromorphologie_suppl. 01 im Format .pdf und .xlsx: Cham-Eslen. Gesamttabelle der mikromorphologischen Aufnahme sortiert nach den Profilkolonnen. - 2.2 Ismail-Meyer_Mikromorphologie_suppl. 02 im Format .docx: Beschreibung und Interpretation der für Cham-Eslen definierten Schichttypen. - 3.3 Huber_Netzsenker_suppl. im Format .pdf und .xlsx: Cham-Eslen. Sämtliche unter dem Aspekt Netzsenker begutachteten Artefakte. - 3.4 Huber_Silex_suppl. im Format .pdf und .xlsx: Cham-Eslen. Alle im Zuge der Silex- und Bergkristallbearbeitung aufgenommenen Funde. - 4.1 Rehazek_Archäozoologie_suppl. im Format .pdf und xlsx: Cham-Eslen. Von Hand aufgelesene/grob geschlämmte Tierknochen: Bestimmungsergebnisse Skelettteile. - 4.2 Steiner et al._Archäobotanik_suppl. im Format .pdf und .xlsx: Gesamttabelle aller archäobotanischer Resultate von Cham-Eslen mit Funddichten. Supplementary data and further details on chapters <strong>2.2 Micromorphology</strong> (Ismail-Meyer, K.), <strong>3.3 Net weights</strong> (Huber, R.), <strong>3.4 Flint and rock crystal artefacts</strong> (Huber, R., with contributions by Affolter, J.), <strong>4.1 Animal bones and bone artefacts</strong> (Rehazek, A.), and <strong>4.2 Plant remains</strong> (Steiner, B. L., with contributions by Jacomet, St., Martinoli, D., Brombacher, Ch., Boissezon, A., and Ismail-Meyer, K.). Contents: 2.2 Ismail-Meyer_Mikromorphologie_suppl. 01 in .pdf and .xlsx format: Cham-Eslen. Complete table of micromorphological recording sorted by profile columns. - 2.2 Ismail-Meyer_Mikromorphologie_suppl. 02 in .docx format: Description and interpretation of layer types defined for Cham-Eslen. - 3.3 Huber_Netzsenker_suppl. in .pdf and .xlsx format: Cham-Eslen. All artefacts examined under the aspect of net weights. - 3.4 Huber_Silex_suppl. in .pdf and .xlsx format: Cham-Eslen. All finds recorded in the course of flint and rock crystal assessment. - 4.1 Rehazek_Archäozoologie_suppl. in .pdf and .xlsx format: Cham-Eslen. Animal bones collected by hand/coarsely sieved: Identification results skeletal parts. - 4.2 Steiner et al._Archäobotanik_suppl. in .pdf and .xlsx format: Comprehensive table of all archaeobotanical results from Cham-Eslen with find densities.
DOI: 10.5281/zenodo.5616624
title: Supplemental material for / Ergänzende Materialien zu: Huber, R./Harb, Ch. (2022) Fischerhütten des frühen Jungneolithikums in Cham-Eslen (Kanton Zug). Antiqua 56. Basel. ISBN 978-3-906182-32-2

description: (English version below) Ergänzende Datentabellen und weitere Angaben zu den Kapiteln <strong>2.2 Mikromorphologie</strong> (Ismail-Meyer, K.), <strong>3.3 Netzsenker</strong> (Huber, R.), <strong>3.4 Silex- und Bergkristallartefakte</strong> (Huber, R., mit Beiträgen von Affolter, J.), <strong>4.1 Die Tierknochen und Knochenartefakte</strong> (Rehazek, A.) sowie <strong>4.2 Pflanzliche Reste</strong> (Steiner, B. L., mit Beiträgen von Jacomet, St., Martinoli, D., Brombacher, Ch., Boissezon, A. und Ismail-Meyer, K.). Vorhandene Dateien: - 2.2 Ismail-Meyer_Mikromorphologie_suppl. 01 im Format .pdf und .xlsx: Cham-Eslen. Gesamttabelle der mikromorphologischen Aufnahme sortiert nach den Profilkolonnen. - 2.2 Ismail-Meyer_Mikromorphologie_suppl. 02 im Format .docx: Beschreibung und Interpretation der für Cham-Eslen definierten Schichttypen. - 3.3 Huber_Netzsenker_suppl. im Format .pdf und .xlsx: Cham-Eslen. Sämtliche unter dem Aspekt Netzsenker begutachteten Artefakte. - 3.4 Huber_Silex_suppl. im Format .pdf und .xlsx: Cham-Eslen. Alle im Zuge der Silex- und Bergkristallbearbeitung aufgenommenen Funde. - 4.1 Rehazek_Archäozoologie_suppl. im Format .pdf und xlsx: Cham-Eslen. Von Hand aufgelesene/grob geschlämmte Tierknochen: Bestimmungsergebnisse Skelettteile. - 4.2 Steiner et al._Archäobotanik_suppl. im Format .pdf und .xlsx: Gesamttabelle aller archäobotanischer Resultate von Cham-Eslen mit Funddichten. Supplementary data and further details on chapters <strong>2.2 Micromorphology</strong> (Ismail-Meyer, K.), <strong>3.3 Net weights</strong> (Huber, R.), <strong>3.4 Flint and rock crystal artefacts</strong> (Huber, R., with contributions by Affolter, J.), <strong>4.1 Animal bones and bone artefacts</strong> (Rehazek, A.), and <strong>4.2 Plant remains</strong> (Steiner, B. L., with contributions by Jacomet, St., Martinoli, D., Brombacher, Ch., Boissezon, A., and Ismail-Meyer, K.). Contents: 2.2 Ismail-Meyer_Mikromorphologie_suppl. 01 in .pdf and .xlsx format: Cham-Eslen. Complete table of micromorphological recording sorted by profile columns. - 2.2 Ismail-Meyer_Mikromorphologie_suppl. 02 in .docx format: Description and interpretation of layer types defined for Cham-Eslen. - 3.3 Huber_Netzsenker_suppl. in .pdf and .xlsx format: Cham-Eslen. All artefacts examined under the aspect of net weights. - 3.4 Huber_Silex_suppl. in .pdf and .xlsx format: Cham-Eslen. All finds recorded in the course of flint and rock crystal assessment. - 4.1 Rehazek_Archäozoologie_suppl. in .pdf and .xlsx format: Cham-Eslen. Animal bones collected by hand/coarsely sieved: Identification results skeletal parts. - 4.2 Steiner et al._Archäobotanik_suppl. in .pdf and .xlsx format: Comprehensive table of all archaeobotanical results from Cham-Eslen with find densities.
DOI: 10.6084/m9.figshare.19427759
title: [Revista Princípia] Soft Skills do ponto de vista dos profissionais de TIC

description: Material suplementar do survey com profissionais da área de TIC
DOI: 10.6084/m9.figshare.19427759.v1
title: [CSBC'22] Soft Skills do ponto de vista dos profissionais de TIC

description: Material suplementar do survey com profissionais da área de TIC
DOI: 10.6084/m9.figshare.19427759.v2
title: [Revista Princípia] Soft Skills do ponto de vista dos profissionais de TIC

description: Material suplementar do survey com profissionais da área de TIC
DOI: 10.6084/m9.figshare.21780995
title: Datasets

description: Datasets used in the paper titled <strong>Home ranges, directionality and the influence of moon phases on the movement ecology of Indian flying fox males in southern India</strong> <br> <strong>Table_1: GPS fix locations obtained from 5 tracked male individuals </strong> <br> <strong>Table_2: TIme data extracted from nightly GPS fixes for four individuals that provided more than one full-night information</strong> <br> <strong>Table_3: Assigned moon phases based on lunar illumination percentages for the nights with GPS data along with the corresponding parameters used for the moon phase analysis </strong> <br> <strong>Table_4: Details of the nightly emergence angles and the angles of the first foraging site relative to the day roost for the four individuals</strong>
DOI: 10.6084/m9.figshare.21780995.v1
title: Datasets

description: Datasets used in the paper titled <strong>Home ranges, directionality and the influence of moon phases on the movement ecology of Indian flying fox males in southern India</strong> <br> <strong>Table_1: GPS fix locations obtained from 5 tracked male individuals </strong> <br> <strong>Table_2: TIme data extracted from nightly GPS fixes for four individuals that provided more than one full-night information</strong> <br> <strong>Table_3: Assigned moon phases based on lunar illumination percentages for the nights with GPS data along with the corresponding parameters used for the moon phase analysis </strong> <br> <strong>Table_4: Details of the nightly emergence angles and the angles of the first foraging site relative to the day roost for the four individuals</strong>
DOI: 10.6084/m9.figshare.20455503
title: Interaction between Brain-based Learning Strategies and Patterns of Infographics and its Impact on the Development of Information Concepts among Saudi Undergraduate Cybersecurity Students

description: Through addressing the following questions, the current study aims to investigate the interaction between brain-based learning strategies—spaced repetition and distributed practice—and infographics—static and animated—and its impact on the development of information concepts for Saudi undergraduate cybersecurity students. 1. What informative principles should Saudi undergraduate students in cybersecurity possess? 2. What standards should be followed while creating static or animated infographics to produce conceptual knowledge for Saudi undergraduate cybersecurity students? 3. What are the educational guidelines for an adaptive e-environment based brain-based learning strategies (spaced repetition and distributed practice - mental models) for fostering the development of information concepts in Saudi undergraduate cybersecurity students? 4. What is the interaction between brain-based learning methods (spaced repetition and distributed practice-mental models) and infographics (static/animated) and how does it affect the Saudi undergraduate cybersecurity students' development of information concepts? (80) Qassim University cybersecurity students—40 men and 40 women—make up the research groups. These individuals were selected at random from the 198 level In Qassim University's cybersecurity programme, there is only one student enrolled. They were split up into four groups, each with 20 students, and studied using the Blackboard system: experimental (G1), (G2), (G3), and (G4). These students were divided according on how they preferred infographics to be presented in order to help cybersecurity students develop their information concepts. <br> <br> <br> <br> <br>