cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.20343342
title: Ants of Brazil: an overview based on 50 years of diversity studies

description: Despite the historical efforts to list and organize the taxonomic knowledge about the Brazilian ant fauna, the most diverse in the world, several gaps regarding species distribution data and sampling coverage persist. In an attempt to fill some of these gaps, we here apply a scientometric approach to provide an updated overview of the ants of Brazil based on formal publications on ant diversity in the Brazilian territory. In the last 50 years, ant diversity studies in Brazil revealed 1130 species, corresponding to around 70% of the species known to occur in the country. The Brazilian biomes with the highest number of described species recorded were, respectively, the Amazon Forest (716 species), Atlantic Forest (657 species), Cerrado (389 species), Caatinga (185 species), Pantanal (143 species), and Pampa (86 species). Considering the number and frequency of unidentified species, the genera <i>Azteca</i>, <i>Hypoponera, Pheidole,</i> and <i>Solenopsis</i> represent the main knowledge frontiers regarding taxonomic resolution, with more than 80% of their records associated with morphospecies codes in diversity studies in Brazil. Moreover, around 7.5% of the papers presented inconsistences in their species lists regarding the validity of taxonomic names, and we found studies for which some taxa records are geographically implausible. Besides demonstrating the importance of ecological publications to the ant diversity knowledge in Brazil, our findings highlight a strong sampling bias in ant occurrence data in the country, with species records unevenly distributed across Brazilian biomes. In short, our results constitute valuable information for future projects on ant taxonomy and surveying in Brazilian natural areas.
DOI: 10.6084/m9.figshare.20343342.v1
title: Ants of Brazil: an overview based on 50 years of diversity studies

description: Despite the historical efforts to list and organize the taxonomic knowledge about the Brazilian ant fauna, the most diverse in the world, several gaps regarding species distribution data and sampling coverage persist. In an attempt to fill some of these gaps, we here apply a scientometric approach to provide an updated overview of the ants of Brazil based on formal publications on ant diversity in the Brazilian territory. In the last 50 years, ant diversity studies in Brazil revealed 1130 species, corresponding to around 70% of the species known to occur in the country. The Brazilian biomes with the highest number of described species recorded were, respectively, the Amazon Forest (716 species), Atlantic Forest (657 species), Cerrado (389 species), Caatinga (185 species), Pantanal (143 species), and Pampa (86 species). Considering the number and frequency of unidentified species, the genera <i>Azteca</i>, <i>Hypoponera, Pheidole,</i> and <i>Solenopsis</i> represent the main knowledge frontiers regarding taxonomic resolution, with more than 80% of their records associated with morphospecies codes in diversity studies in Brazil. Moreover, around 7.5% of the papers presented inconsistences in their species lists regarding the validity of taxonomic names, and we found studies for which some taxa records are geographically implausible. Besides demonstrating the importance of ecological publications to the ant diversity knowledge in Brazil, our findings highlight a strong sampling bias in ant occurrence data in the country, with species records unevenly distributed across Brazilian biomes. In short, our results constitute valuable information for future projects on ant taxonomy and surveying in Brazilian natural areas.
DOI: 10.34740/kaggle/dsv/3965307
title: YouTube Trending Video Dataset (updated daily)
DOI: 10.5281/zenodo.6866697
title: Papyrus dataset postgres dump

description: The dataset that the database dump was created from is described here: 10.33774/chemrxiv-2021-1rxhk<br> <br> A dump of the postgres database created from the code in the 'postgres' directory (Papyrus-scripts/src/papyrus_scripts/<strong>postgres</strong>/) of Rachael Skyner's fork (https://github.com/reskyner/Papyrus-scripts) of Oliver Bequignon's Papyrus-scripts github (https://github.com/OlivierBeq/Papyrus-scripts). The database was created by: 1. Download the papyrus csv files from Oliver's code using the download functionality 2. Spin up a 'papyrus' container using the docker-compose.yml file in Rachael's fork (running on a machine with access to the postgres instance you want to add the database to) 3. Start a shell in the papyrus container with docker exec -it papyrus /bin/bash 4. Start a jupyter notebook server with jupyter notebook --ip 0.0.0.0 --allow-root --no-browser 5. Run the two notebooks (1-insert_molecule_data.ipynb and 2-insert_activities.ipynb) in order 6. Create a dump of the database
DOI: 10.5281/zenodo.6866696
title: Papyrus dataset postgres dump

description: The dataset that the database dump was created from is described here: 10.33774/chemrxiv-2021-1rxhk<br> <br> A dump of the postgres database created from the code in the 'postgres' directory (Papyrus-scripts/src/papyrus_scripts/<strong>postgres</strong>/) of Rachael Skyner's fork (https://github.com/reskyner/Papyrus-scripts) of Oliver Bequignon's Papyrus-scripts github (https://github.com/OlivierBeq/Papyrus-scripts). The database was created by: 1. Download the papyrus csv files from Oliver's code using the download functionality 2. Spin up a 'papyrus' container using the docker-compose.yml file in Rachael's fork (running on a machine with access to the postgres instance you want to add the database to) 3. Start a shell in the papyrus container with docker exec -it papyrus /bin/bash 4. Start a jupyter notebook server with jupyter notebook --ip 0.0.0.0 --allow-root --no-browser 5. Run the two notebooks (1-insert_molecule_data.ipynb and 2-insert_activities.ipynb) in order 6. Create a dump of the database
DOI: 10.5281/zenodo.6866986
title: Data for manuscript of 2022WR032195R

description: These are data for the manuscript named "<strong>Mixing dynamics at the large confluence between Yangtze River and Poyang Lake</strong>". The file includes the conductivity, elevation, and velocity data. If you have any qusetion about the data, please contact us.
DOI: 10.5281/zenodo.6866985
title: Data for manuscript of 2022WR032195R

description: These are data for the manuscript named "<strong>Mixing dynamics at the large confluence between Yangtze River and Poyang Lake</strong>". The file includes the conductivity, elevation, and velocity data. If you have any qusetion about the data, please contact us.
DOI: 10.6084/m9.figshare.20338893
title: Impact of mature tertiary lymphoid structures on prognosis of Epstein-Barr virus-associated gastric cancer

description: EBVaGC tumors were sequenced on a targeted panel.
DOI: 10.6084/m9.figshare.20338893.v3
title: Impact of mature tertiary lymphoid structures on prognosis of Epstein-Barr virus-associated gastric cancer

description: EBVaGC tumors were sequenced on a targeted panel.
DOI: 10.6084/m9.figshare.20338893.v2
title: Impact of mature tertiary lymphoid structures on prognosis of Epstein-Barr virus-associated gastric cancer

description: EBVaGC tumors were sequenced on a targeted panel.
DOI: 10.6084/m9.figshare.20338677
title: Impact of mature tertiary lymphoid structures on prognosis of Epstein-Barr virus-associated gastric cancer

description: RNA-seq data from TCGA database
DOI: 10.6084/m9.figshare.20338677.v5
title: Impact of mature tertiary lymphoid structures on prognosis of Epstein-Barr virus-associated gastric cancer

description: RNA-seq data from TCGA database
DOI: 10.6084/m9.figshare.20338677.v4
title: RNA-seq data from TCGA database

description: RNA-seq data from TCGA database
DOI: 10.5281/zenodo.6867071
title: Erythroxylum platyclados decontaminated FSCR

description: .
DOI: 10.5281/zenodo.6867070
title: Erythroxylum platyclados decontaminated FSCR

description: .
DOI: 10.6084/m9.figshare.12130980.v149
title: MOOD Maps of Google community mobility change during the COVID-19 outbreak

description: The MOOD project (MOnitoring Outbreak events for Disease surveillance in a data science context. H2020) has geo-referenced the data Google has published as a series of PDF files presenting reports on national and subnational human mobility levels relative to a baseline data of late January 2020. The details and the PDF files can be found at https://www.google.com/covid19/mobility/.<br>More detail on these files can be found at https://www.moodspatialdata.com/humanmobilityforcovid19 <br>The first set of data were released on April 2 2020 and have been revised weekly since then. The maps now utilise the CSV data released by Google. Please note that the maps figures use a mean of the previous three days, while the Google PDFs use a single days data so there will be differences between values in our maps when compare to the Google PDFs.<br>The authors have extracted the majority of these data into a series of excel spreadsheets. Each worksheet provides the data for % change in numbers of records at various types of location categories illustrated by: retail and recreation, grocery and pharmacy, parks and beaches, transit stations, workplaces and residential (columns f to K). A second set of columns calculates the difference of each value from the mean values for each category (columns L to P) Columns A to E contain geographical details. Column Q contains the names used to link to a mapping file.There are separate worksheets for the date of the data from each dated release (e.g. 2903, 0504 etc.) and separate worksheets calculating the changes between specific dates.<br>A second spreadsheet has been added calculating the 3 day moving mean of each day from the 15th of February. Each day is referenced by the Gregorian calendar day count. So day 48 = Feb 17th.<br>The maps (for EU & Global) display these data. We provide 600 dpi jpegs of the Global (“WD”) and European (“EU”) mapped values at the latest date available, for each of the mobility categories: retail and recreation (“retrec”) , grocery and pharmacy (“grocphar”) , parks (“parks”) , transit stations (“transit”), residential (“resid”) and workplaces (“work”). We also provide maps of the changes from the previous week (“ch”).<br>All data extracting and subsequent processing have been carried out by ERGO (Environmental Research Group Oxford, c/o Dept Zoology, University of Oxford) on behalf of the MOOD H2020 project. Data will be periodically updated. Additional maps can be obtained on request to the authors.
DOI: 10.34740/kaggle/dsv/3965362
title: 2021 World Population (updated daily)
DOI: 10.6084/m9.figshare.19103177
title: Data from "Ecology dictates the value of memory for foraging bees"

description: Data from "Ecology dictates the value of memory for foraging bees". <br> Methods <br> Briefly, experiments utilised a lab-to-field approach to assess how the short term memory (STM) of bees influences individual foraging efficiency across the foraging season (April-October). See publication for full details. <br> Data sets <br> <em>ram_score_data</em> – ram peformanced data for each bee; description of data included in file. <br> <em>nectar_foraging_data – </em>nectar foraging data for each STM-tested bee; description of data included in file. <br> <em>pollen_foraging_data – </em>pollen foraging data for each STM-tested bee; description of data included in file. <br> <em>survival_data</em> – number of days survived by STM-tested bees; description of data included in file. <br> <em>lifetime_foraging_data</em> – number of foraging trips per bee over its career, recorded using RFID; description of data included in file. <br> <em>control_bee_comparison_nectar </em>– nectar data used in comparisons of foraging efficiency between STM-nested and control (non-tested) bees; description of data included in file. <br> <em>control_bee_comparison_pollen </em>– pollen data used in comparisons of foraging efficiency between STM-nested and control (non-tested) bees; description of data included in file. <br> <em>control_bee_comparison_survival </em>– survival data used in comparisons of survival between STM-nested and control (non-tested) bees; description of data included in file. <br> <em>floral_data</em> – generic richness data across season; description of data included in file. <br> <em>gross_foraging_data</em> – gross nectar and pollen foraging data, and bout duration; description of data included in file. <br> <em>ram_validation </em>– simulated performance of bees completing an eight-arm maze using chance of stereotyped movement rules; description of data included in file; description of data included in file. <br> <em>pollen_genera</em> – number of pollen identified from bee collected pollen per week of experiment. <br> Original code <br> All R analysis code and output provided for each analysis performed (on above data); every file is fully annotated.
DOI: 10.6084/m9.figshare.19103177.v1
title: Data from "Ecology dictates the value of memory for foraging bees"

description: Data from "Ecology dictates the value of memory for foraging bees". <br> Methods <br> Briefly, experiments utilised a lab-to-field approach to assess how the short term memory (STM) of bees influences individual foraging efficiency across the foraging season (April-October). See publication for full details. <br> Data sets <br> <em>ram_score_data</em> – ram peformanced data for each bee; description of data included in file. <br> <em>nectar_foraging_data – </em>nectar foraging data for each STM-tested bee; description of data included in file. <br> <em>pollen_foraging_data – </em>pollen foraging data for each STM-tested bee; description of data included in file. <br> <em>survival_data</em> – number of days survived by STM-tested bees; description of data included in file. <br> <em>lifetime_foraging_data</em> – number of foraging trips per bee over its career, recorded using RFID; description of data included in file. <br> <em>control_bee_comparison_nectar </em>– nectar data used in comparisons of foraging efficiency between STM-nested and control (non-tested) bees; description of data included in file. <br> <em>control_bee_comparison_pollen </em>– pollen data used in comparisons of foraging efficiency between STM-nested and control (non-tested) bees; description of data included in file. <br> <em>control_bee_comparison_survival </em>– survival data used in comparisons of survival between STM-nested and control (non-tested) bees; description of data included in file. <br> <em>floral_data</em> – generic richness data across season; description of data included in file. <br> <em>gross_foraging_data</em> – gross nectar and pollen foraging data, and bout duration; description of data included in file. <br> <em>ram_validation </em>– simulated performance of bees completing an eight-arm maze using chance of stereotyped movement rules; description of data included in file; description of data included in file. <br> Original code <br> All R analysis code and output provided for each analysis performed (on above data); every file is fully annotated.
DOI: 10.5281/zenodo.6866507
title: Geoelectrical and hydro-chemical monitoring of karst formation at the laboratory scale

description: We propose a dataset of two Estaillades limestone core samples subjected to acid percolation at two different rates. We monitored: <strong>Permeability </strong>from high-frequency pressure gradient acquisition. Facing noise, we filtered this permeability with a Savitsky-Golay filter. Then, we resampled permeability values to compare them at specific times when we performed other measurements. <strong>pH</strong> at the inlet and outlet. <strong>Calcium </strong>concentration at the outlet. <strong>Porosity</strong> was initially measured with petrophysical measurements and then calculated from calcium concentration during percolation experiments. We resampled the values to compare them at specific times when we performed other measurements. <strong>Water electrical conductivity</strong> at the inlet and outlet. <strong>Rock sample electrical conductivity</strong>, from which we calculated the formation factor. Rock sample electrical conductivity was high-frequency acquired. We thus resampled the values to compare them at specific times when we performed other measurements. We also present the pore size distribution of both samples before and after the percolation experiments. The distribution comes from the mean <strong>chord lengths distribution</strong> generated from tomography imaging. In addition to this dataset, we display a picture of the mesh of the sample and the electrodes generated with EIDORS software and with which we computed the geometric factor.
DOI: 10.6084/m9.figshare.20097380
title: Table 2

description: Centrality characteristics of spatial correlation network of tourism eco-efficiency of China in 2010 and 2019
DOI: 10.6084/m9.figshare.20097380.v1
title: Table 2

description: Centrality characteristics of spatial correlation network of tourism eco-efficiency of China in 2010 and 2019
DOI: 10.6084/m9.figshare.20166332
title: RAW DATA

description: RAW DATA
DOI: 10.6084/m9.figshare.20166332.v1
title: RAW DATA

description: RAW DATA
DOI: 10.6084/m9.figshare.20088698
title: Relevant formulae for spatial networks

description: Relevant formulae for spatial networks
DOI: 10.6084/m9.figshare.20088698.v1
title: Relevant formulae for spatial networks

description: Relevant formulae for spatial networks
DOI: 10.3886/e175841
title: Anxiety is Equal to Symptoms and Primordial

description: Based on a prior study of observation and accumulation of the enrollment lists from the even semester of 2022, this investigation identified anxiety as the primary concern. It used the library method to investigate anxiety from three main perspectives, including the theories of anxiety, learning trauma, and educational change. The researcher discovered that from elementary to higher education levels, there should addressed with students as the center principle through collaboration as one of the associated studies of second resources and analysis of the prior publications with the range of publication approximately 2022. Additionally, suggest more study on the nature of the learning environment, particularly in student centers that value cooperation as one of their core values, in order to comprehend the impact of anxiety and its various manifestations. Therefore, conduct study in the future at all levels of education, from elementary school to university, as is thought to be feasible. It is feasible for people, especially politicians, to permit improvement of inadequacy.
description: A literature analysis conducted based on the issue position of pupils who have limited ability speaking and writing in English due to a lack of experience while being in school with poor instructional resources. As a result, this article focuses on exploratory discussions with a scientific focus on scientific questions as if the extent to deal with anxiety can manifest itself in a learner's personality and the effectiveness of portraits in ensuring the productivity of national education policies within a potentially adaptable state framework. .
description: observational study as prior investigation and library research as the primary method
DOI: 10.5281/zenodo.6867005
title: Ideals Dataset

description: Generated datasets of multiple ideals distributions used in the research in linear regressions and machine learning algorithm for the thesis s 'Predicting the performance of Buchberger‘s algorithm' . Concatenated and concatenated_stats are the datasets with the ideals exponents and correspondent polynomial additions, these datasets were created specifically for RNN, features_dataset contains statistics regarding the ideals and polynomial_additions_dataset contains info regarding their polynomial additions created for multiple linear regression models and simple neural networks.
DOI: 10.5281/zenodo.6866462
title: Supplementary data and codes for "Confinement-induced accumulation accumulation and de-mixing of microscopic active-passive mixtures"

description: This file contains the data and codes used in the paper “Confinement-induced accumulation accumulation and de-mixing of microscopic active-passive mixtures”, S. Williams et al, 2022. It includes the data used in all the figures and supplementary figures, as well as the codes used for simulations and escape rate estimation. The data files are in .mat format. The codes are Matlab codes with the exception of the analytical estimate of the escape rate which is a Mathematica worksheet.
DOI: 10.5281/zenodo.6866461
title: Supplementary data and codes for "Confinement-induced accumulation accumulation and de-mixing of microscopic active-passive mixtures"

description: This file contains the data and codes used in the paper “Confinement-induced accumulation accumulation and de-mixing of microscopic active-passive mixtures”, S. Williams et al, 2022. It includes the data used in all the figures and supplementary figures, as well as the codes used for simulations and escape rate estimation. The data files are in .mat format. The codes are Matlab codes with the exception of the analytical estimate of the escape rate which is a Mathematica worksheet.
DOI: 10.7479/ws8v-z270/12
title: Was Füchse im Museum suchen | What foxes are looking for in the museum

description: In der Stadt einem Fuchs zu begegnen, ist keine Seltenheit. Ein Grund dafür ist, dass Städte viel grüner sind als man im ersten Moment denkt - so werden Stadtparks und Friedhöfe zum Rückzugsort für die Tiere. Warum diese Orte ideal sind und wie sich das Verhältnis von Mensch und Fuchs entwickelt hat, wird in diesem Artikel erzählt. Encountering a fox in the city is not uncommon. One reason for this is that cities are much greener than you might think at first glance - so city parks and cemeteries become a retreat for the animals. Why these places are ideal and how the relationship between humans and foxes has developed is told in this article.
DOI: 10.7479/ws8v-z270/11
title: Beobachte Greifvögel im Berliner Winter | Observe Birds of Prey in the Berlin Winter

description: Viele Vögel ziehen im Winter in den Süden. Dennoch bietet auch diese Zeit viele Möglichkeiten für interessante Beobachtungen. Welche Greifvögel in Berlin anzutreffen sind und wann sie besonders gut beobachtet werden können, wird in diesem Artikel erzählt. Many birds migrate south in winter. Nevertheless, this time also offers many opportunities for interesting observations. Which birds of prey can be found in Berlin and when they can be observed particularly well is told in this article.
DOI: 10.7479/ws8v-z270/10
title: Bestimmungsmerkmale von Blüten | Characteristics of Flowers

description: Grundsätzlich besteht die Blüte einer Pflanze aus umgewandelten Blättern, die am Ende eines kurzen Sprosses, dem Blütenstiel, wachsen. Hier werden einige Grundbegriffe zu den einzelnen Blütenteilen erklärt, die wichtig sind, um eine Art anhand der Blüten bestimmen zu können. Basically, the flower of a plant consists of transformed leaves that grow at the end of a short shoot, the petiole. Here are some basic terms about the individual flower parts, which are important to be able to identify a species by the flowers.
DOI: 10.7479/ws8v-z270/9
title: Bestimmungsmerkmale von Blättern | Characteristics of Leaves

description: Ein Blatt setzt sich grundsätzlich aus drei Bestandteilen zusammen: Blattgrund, Blattstiel und Blattspreite. In diesem Artikel werden einige Merkmale vorgestellt, anhand derer eine Art bestimmt werden kann. A leaf is basically made up of three components: Leaf base, petiole and leaf blade. This article presents some characteristics that can be used to determine a species.