cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.12310523.v1
title: Table S1

description: Raw Data for Figure 2. <b>Population dynamics of two completely competing species depending on their competitiveness. </b><br>Colonization of free habitat which consists of 50x50 micro-habitats started from a single individual of the Species 1 and a single individual of the Species 2. P<sub>1</sub> and P<sub>2</sub> are the parameters of the relative competitiveness of Species 1 and Species 2, respectively. (<b>A</b>) The completely deterministic case of competitive exclusion when the Species 1 excludes the Species 2. Species difference in competitiveness equals 100%. (<b>B</b>) Competitive exclusion of the Species 2. Species difference in competitiveness equals 30%. (<b>C</b>) The Species 1 and the Species 2 stably coexist despite the difference in competitiveness which equals 29%. (<b>D</b>) The Species 1 and the Species 2 are identical in all ecological parameters (P<sub>1</sub> = P<sub>2</sub>) and they stably coexist with close numbers of individuals. Species difference in competitiveness equals 0%.
DOI: 10.6084/m9.figshare.12310523
title: Table S2

description: Raw Data for Figure 3. <b>Population dynamics of two completely competing species depending on their competitiveness. </b><br>Colonization of free habitat which consists of 50x50 micro-habitats started from a single individual of the Species 1 and a single individual of the Species 2. P<sub>1</sub> and P<sub>2</sub> are the parameters of the relative competitiveness of Species 1 and Species 2, respectively. (<b>a</b>) The completely deterministic case of competitive exclusion when the Species 1 excludes the Species 2. Species difference in competitiveness equals 100%. (<b>b</b>) Competitive exclusion of the Species 2. Species difference in competitiveness equals 30%. (<b>c</b>) The Species 1 and the Species 2 stably coexist despite the difference in competitiveness which equals 29%. (<b>d</b>) The Species 1 and the Species 2 are identical in all ecological parameters (P<sub>1</sub> = P<sub>2</sub>) and they stably coexist with close numbers of individuals. Species difference in competitiveness equals 0%.
DOI: 10.6084/m9.figshare.12310523.v3
title: Table S2

description: Raw Data for Figure 3. <b>Population dynamics of two completely competing species depending on their competitiveness. </b><br>Colonization of free habitat which consists of 50x50 micro-habitats started from a single individual of the Species 1 and a single individual of the Species 2. P<sub>1</sub> and P<sub>2</sub> are the parameters of the relative competitiveness of Species 1 and Species 2, respectively. (<b>a</b>) The completely deterministic case of competitive exclusion when the Species 1 excludes the Species 2. Species difference in competitiveness equals 100%. (<b>b</b>) Competitive exclusion of the Species 2. Species difference in competitiveness equals 30%. (<b>c</b>) The Species 1 and the Species 2 stably coexist despite the difference in competitiveness which equals 29%. (<b>d</b>) The Species 1 and the Species 2 are identical in all ecological parameters (P<sub>1</sub> = P<sub>2</sub>) and they stably coexist with close numbers of individuals. Species difference in competitiveness equals 0%.
DOI: 10.6084/m9.figshare.12310523.v2
title: Table S3

description: Raw Data for Figure 4. <b>Population dynamics of two completely competing species depending on their competitiveness. </b>Results of the Monte Carlo simulation.<br>Colonization of free habitat which consists of 50x50 micro-habitats started from a single individual of the Species 1 and a single individual of the Species 2. P<sub>1</sub> and P<sub>2</sub> are the parameters of the relative competitiveness of Species 1 and Species 2, respectively. (<b>a</b>) The completely deterministic case of competitive exclusion when the Species 1 excludes the Species 2. Species difference in competitiveness equals 100%. (<b>b</b>) Competitive exclusion of the Species 2. Species difference in competitiveness equals 30%. (<b>c</b>) The Species 1 and the Species 2 stably coexist despite the difference in competitiveness which equals 29%. (<b>d</b>) The Species 1 and the Species 2 are identical in all ecological parameters (P<sub>1</sub> = P<sub>2</sub>) and they stably coexist with close numbers of individuals. Species difference in competitiveness equals 0%.
DOI: 10.34740/kaggle/dsv/1894335
title: Digital currency - Time series
DOI: 10.6084/m9.figshare.12311039
title: Table S3

description: Raw Data for Figure 4. <b>Monte Carlo simulations of the colonization-competition dynamics.</b><b><br></b>Colonization of free habitat started from single individuals of each species.<b> </b>The number of Monte Carlo simulations equals to 200. Parameter P<sub>1</sub> reflects competitivness of the Species 1 and parameter P<sub>2</sub> reflects competitivness of the Species 2.(<b>a, b</b>) Competitive exclusion of the recessive Species 2 was observed in all cases. Species differences in competitivness equal to 100% (a) and 32% (b).(<b>c-d</b>) Stable coexistence of competing species was observed in all cases. Species differences in competitivness equal to 31% (c) and 0% (d).
DOI: 10.6084/m9.figshare.12311039.v2
title: Table S3

description: Raw Data for Figure 4. <b>Monte Carlo simulations of the colonization-competition dynamics.</b><b><br></b>Colonization of free habitat started from single individuals of each species.<b> </b>The number of Monte Carlo simulations equals to 200. Parameter P<sub>1</sub> reflects competitivness of the Species 1 and parameter P<sub>2</sub> reflects competitivness of the Species 2.(<b>a, b</b>) Competitive exclusion of the recessive Species 2 was observed in all cases. Species differences in competitivness equal to 100% (a) and 32% (b).(<b>c-d</b>) Stable coexistence of competing species was observed in all cases. Species differences in competitivness equal to 31% (c) and 0% (d).
DOI: 10.6084/m9.figshare.12311039.v1
title: Table S2

description: Raw Data for Figure 3. <b>Monte Carlo simulations of two species competition.</b><b><br></b>Colonization of free habitat started from single individuals of each species.<b> </b>The number of Monte Carlo simulations equals to 200. Parameter P<sub>1</sub> reflects competitivness of the Species 1 and parameter P<sub>2</sub> reflects competitivness of the Species 2.(<b>A, B</b>) Competitive exclusion of the recessive Species 2 was observed in all cases. Species differences in competitivness equal to 100% (A) and 32% (B).(<b>C-D</b>) Stable coexistence of competing species was observed in all cases. Species differences in competitivness equal to 31% (C) and 0% (D).
DOI: 10.6084/m9.figshare.13669157.v1
title: Table S1

description: Raw Data for Figure 2. <b>Diagrams with the total number of populations of competing species, depending on their differences and similarities in competitiveness.</b><br><br>The results of 101 experiments with a change in species’ differences in fitness by 1% from 0% to 100% are presented. The population size is fixed at iteration number 10000. The lattice size is 50x50. At the initial iteration, the individual of the Species 1 occupied the site with indices [23][23], and the individual of the Species 2 occupied the site with indices [26][26]. P<sub>1</sub> and P<sub>2</sub> are the parameters of relative competitiveness of the Species 1 and 2, respectively. (a) The population size of competing species depending on their difference in competitiveness. (b) The population size of competing species depending on their similarity in competitiveness.<br>
DOI: 10.6084/m9.figshare.12381683
title: DATASET Tendencias de búsquedas en internet en la pandemia COVID-19 en Perú

description: Data <b>Tendencias de búsquedas en internet en la pandemia COVID-19 en Perú</b>
DOI: 10.6084/m9.figshare.13669157.v2
title: Table S1

description: Raw Data for Figure 2. <b>Diagrams with the total number of populations of competing species, depending on their differences and similarities in competitiveness.</b><br><br>The results of 101 experiments with a change in species’ differences in fitness by 1% from 0% to 100% are presented. The population size is fixed at iteration number 10000. The lattice size is 50x50. At the initial iteration, the individual of the Species 1 occupied the site with indices [23][23], and the individual of the Species 2 occupied the site with indices [26][26]. P<sub>1</sub> and P<sub>2</sub> are the parameters of relative competitiveness of the Species 1 and 2, respectively. (a) The population size of competing species depending on their difference in competitiveness. (b) The population size of competing species depending on their similarity in competitiveness.<br>
DOI: 10.6084/m9.figshare.13669157
title: Table S1

description: Raw Data for Figure 2. <b>Diagrams with the total number of populations of competing species, depending on their differences and similarities in competitiveness.</b><br><br>The results of 101 experiments with a change in species’ differences in fitness by 1% from 0% to 100% are presented. The population size is fixed at iteration number 10000. The lattice size is 50x50. At the initial iteration, the individual of the Species 1 occupied the site with indices [23][23], and the individual of the Species 2 occupied the site with indices [26][26]. P<sub>1</sub> and P<sub>2</sub> are the parameters of relative competitiveness of the Species 1 and 2, respectively. (a) The population size of competing species depending on their difference in competitiveness. (b) The population size of competing species depending on their similarity in competitiveness.<br>
DOI: 10.6084/m9.figshare.13669157.v4
title: Table S1

description: Raw Data for Figure 2. <b>Diagrams with the total number of populations of competing species, depending on their differences and similarities in competitiveness.</b><br><br>The results of 101 experiments with a change in species’ differences in fitness by 1% from 0% to 100% are presented. The population size is fixed at iteration number 10000. The lattice size is 50x50. At the initial iteration, the individual of the Species 1 occupied the site with indices [23][23], and the individual of the Species 2 occupied the site with indices [26][26]. P<sub>1</sub> and P<sub>2</sub> are the parameters of relative competitiveness of the Species 1 and 2, respectively. (a) The population size of competing species depending on their difference in competitiveness. (b) The population size of competing species depending on their similarity in competitiveness.<br>
DOI: 10.6084/m9.figshare.13669157.v3
title: Table S1

description: Raw Data for Figure 2. <b>Diagrams with the total number of populations of competing species, depending on their differences and similarities in competitiveness.</b><br><br>The results of 101 experiments with a change in species’ differences in fitness by 1% from 0% to 100% are presented. The population size is fixed at iteration number 10000. The lattice size is 50x50. At the initial iteration, the individual of the Species 1 occupied the site with indices [23][23], and the individual of the Species 2 occupied the site with indices [26][26]. P<sub>1</sub> and P<sub>2</sub> are the parameters of relative competitiveness of the Species 1 and 2, respectively. (a) The population size of competing species depending on their difference in competitiveness. (b) The population size of competing species depending on their similarity in competitiveness.<br>
DOI: 10.25646/7928
title: Tagesdaten-CSV aus dem DIVI-Intensivregister

description: Die Tagesdaten-CSV entspricht einem Auszug der Daten des DIVI-Intensivregisters. Die Datei enthält eine Aggregation der aktuellsten Meldungen pro Landkreis. Es werden die aktuell gemeldeten Anzahlen der COVID-19 Intensivfälle sowie die gemeldeten intensivmedizinischen Behandlungskapazitäten angezeigt. Die Tagesdaten-CSV liefert dabei ausschließlich einen Blick auf die Daten gemäß dem Stand des betrachteten Tages. Die Daten sind im situationsbedingten Kontext aufbereitet, damit sind verschiedene Tagesdaten-CSVs u.U. nicht direkt miteinander vergleichbar. Die aktuellsten Meldungen werden im gewählten Betrachtungszeitfenster über alle Meldebereiche und Standorte aufsummiert. Weitere Informationen sind zu finden unter https://www.intensivregister.de/#/faq
DOI: 10.25646/7931
title: Tagesdaten-CSV aus dem DIVI-Intensivregister

description: Die Tagesdaten-CSV entspricht einem Auszug der Daten des DIVI-Intensivregisters. Die Datei enthält eine Aggregation der aktuellsten Meldungen pro Landkreis. Es werden die aktuell gemeldeten Anzahlen der COVID-19 Intensivfälle sowie die gemeldeten intensivmedizinischen Behandlungskapazitäten angezeigt. Die Tagesdaten-CSV liefert dabei ausschließlich einen Blick auf die Daten gemäß dem Stand des betrachteten Tages. Die Daten sind im situationsbedingten Kontext aufbereitet, damit sind verschiedene Tagesdaten-CSVs u.U. nicht direkt miteinander vergleichbar. Die aktuellsten Meldungen werden im gewählten Betrachtungszeitfenster über alle Meldebereiche und Standorte aufsummiert. Weitere Informationen sind zu finden unter https://www.intensivregister.de/#/faq
DOI: 10.25646/7932
title: Tagesdaten-CSV aus dem DIVI-Intensivregister

description: Die Tagesdaten-CSV entspricht einem Auszug der Daten des DIVI-Intensivregisters. Die Datei enthält eine Aggregation der aktuellsten Meldungen pro Landkreis. Es werden die aktuell gemeldeten Anzahlen der COVID-19 Intensivfälle sowie die gemeldeten intensivmedizinischen Behandlungskapazitäten angezeigt. Die Tagesdaten-CSV liefert dabei ausschließlich einen Blick auf die Daten gemäß dem Stand des betrachteten Tages. Die Daten sind im situationsbedingten Kontext aufbereitet, damit sind verschiedene Tagesdaten-CSVs u.U. nicht direkt miteinander vergleichbar. Die aktuellsten Meldungen werden im gewählten Betrachtungszeitfenster über alle Meldebereiche und Standorte aufsummiert. Weitere Informationen sind zu finden unter https://www.intensivregister.de/#/faq
DOI: 10.25646/7935
title: Tagesdaten-CSV aus dem DIVI-Intensivregister

description: Die Tagesdaten-CSV entspricht einem Auszug der Daten des DIVI-Intensivregisters. Die Datei enthält eine Aggregation der aktuellsten Meldungen pro Landkreis. Es werden die aktuell gemeldeten Anzahlen der COVID-19 Intensivfälle sowie die gemeldeten intensivmedizinischen Behandlungskapazitäten angezeigt. Die Tagesdaten-CSV liefert dabei ausschließlich einen Blick auf die Daten gemäß dem Stand des betrachteten Tages. Die Daten sind im situationsbedingten Kontext aufbereitet, damit sind verschiedene Tagesdaten-CSVs u.U. nicht direkt miteinander vergleichbar. Die aktuellsten Meldungen werden im gewählten Betrachtungszeitfenster über alle Meldebereiche und Standorte aufsummiert. Weitere Informationen sind zu finden unter https://www.intensivregister.de/#/faq
DOI: 10.6084/m9.figshare.13669166.v1
title: Table S1

description: Raw Data for Figure 2. <b>Diagrams with the total number of populations of competing species, depending on their differences and similarities in competitiveness.</b><br><br>The results of 101 experiments with a change in species’ differences in fitness by 1% from 0% to 100% are presented. The population size is fixed at iteration number 10000. The lattice size is 50x50. At the initial iteration, the individual of the Species 1 occupied the site with indices [23][23], and the individual of the Species 2 occupied the site with indices [26][26]. P<sub>1</sub> and P<sub>2</sub> are the parameters of relative competitiveness of the Species 1 and 2, respectively.(a) The population size of competing species depending on their difference in competitiveness.(b) The population size of competing species depending on their similarity in competitiveness.
DOI: 10.6084/m9.figshare.13669166
title: Table S1

description: Raw Data for Figure 2. <b>Diagrams with the total number of populations of competing species, depending on their differences and similarities in competitiveness.</b><br><br>The results of 101 experiments with a change in species’ differences in fitness by 1% from 0% to 100% are presented. The population size is fixed at iteration number 10000. The lattice size is 50x50. At the initial iteration, the individual of the Species 1 occupied the site with indices [23][23], and the individual of the Species 2 occupied the site with indices [26][26]. P<sub>1</sub> and P<sub>2</sub> are the parameters of relative competitiveness of the Species 1 and 2, respectively.(a) The population size of competing species depending on their difference in competitiveness.(b) The population size of competing species depending on their similarity in competitiveness.
DOI: 10.17632/8x4hjbnm8x.1
title: Data for: Simulation of Chemical Transport Model estimates by means of Neural Network using meteorological data
DOI: 10.6084/m9.figshare.12986981
title: Tonsil_Clustering16_K46

description: Segmented single cell data from 7x9 tile CODEX imaging of human tonsil at 20x over all channels and cycles.
DOI: 10.6084/m9.figshare.13079291
title: Lymphoid Single Cell Dataset

description: This is a single cell (segmented) multiplexed CODEX imaging dataset of three human tonsils, a spleen, and a lymph node from different donors. Here the use of the CODEX protocol to stain cellularly dense human lymphoid tissues with a panel of 46 antibodies (n=1 CODEX multicycle imaging of each tissue with stated antibody panel: 3 tonsils, each from a different donor, 1 spleen from another donor, and 1 lymph node from another donor). The 46-antibody panel contains antibodies to key adaptive and innate immune, functional, and stromal, and epithelial markers.
DOI: 10.25919/7chx-qd08
title: Parkes observations for project P1061 semester 2020OCTS_11

description: Fast Radio Bursts (FRBs) have extremely high brightness temperature, owing to their short-duration and prominent flux from the distant universe. The studies on emission mechanism of FRBs have met bottleneck for a long time unless a complete spectrum is measured. We propose to observe a new repeating FRB source, FRB 180301, using the Parkes ultra-wide-bandwidth receiver (UWL). This source was initially found by Parkes multibeam receivers and confirmed repetition by the FAST telescope. The source is still active until Jun 2020 from FAST follow-ups. It’s an ideal opportunity to capture comprehensive spectral information using the Parkes UWL. We demonstrate that the beam coverage is feasible and 30-hr observations are required for at least one detection.
DOI: 10.5281/zenodo.4482809
title: Ludzie starzy o swoim wizerunku w mediach

description: Środki komunikowania masowego odgrywają kluczową rolę w społeczeństwach nowoczesnych. Media umożliwiają docieranie informacji o bieżących wydarzeniach do szerokich rzesz odbiorców, interpretują je i konstruują ich znaczenia, wytwarzają wspólnotę wartości, organizują rozrywkę w czasie wolnym oraz pośredniczą w mobilizowaniu ruchów społecznych. Komunikacja masowa jest też związana z prowadzeniem debaty publicznej i uwrażliwianiem opinii publicznej na problemy społeczne. Celem artykułu jest przybliżenie wybranych wyników analiz empirycznych przekazów dostrzeganych przez ludzi starych w prasie, radiu i telewizji związanych z ich wizerunkiem, problemami i interesami. Praca zarysowuje również oczekiwania seniorów wobec działalności mass mediów na poziomie lokalnym i krajowym.
DOI: 10.5281/zenodo.4482808
title: Ludzie starzy o swoim wizerunku w mediach

description: Środki komunikowania masowego odgrywają kluczową rolę w społeczeństwach nowoczesnych. Media umożliwiają docieranie informacji o bieżących wydarzeniach do szerokich rzesz odbiorców, interpretują je i konstruują ich znaczenia, wytwarzają wspólnotę wartości, organizują rozrywkę w czasie wolnym oraz pośredniczą w mobilizowaniu ruchów społecznych. Komunikacja masowa jest też związana z prowadzeniem debaty publicznej i uwrażliwianiem opinii publicznej na problemy społeczne. Celem artykułu jest przybliżenie wybranych wyników analiz empirycznych przekazów dostrzeganych przez ludzi starych w prasie, radiu i telewizji związanych z ich wizerunkiem, problemami i interesami. Praca zarysowuje również oczekiwania seniorów wobec działalności mass mediów na poziomie lokalnym i krajowym.
DOI: 10.5281/zenodo.4482815
title: Analysis of Intergenerational Policy Models

description: Contemporary demographic processes forcing increasing attention to the problems of relationships and dependencies between the different age groups. The ageing of the population in each society leads to changes in the contacts between young people, adults and the elderly. It is reasonable to undertake research on the concept of "solidarity of generations". Maintaining relationships without generational conflict requires actions in the field of social policy known as intergenerational policy. Aim of this article is to present some of its models, which allow not only to analyze the changes in the various communities, but also to create recommendations for public intervention. Description will include activities at the international, national, regional and local levels.
DOI: 10.5281/zenodo.4482814
title: Analysis of Intergenerational Policy Models

description: Contemporary demographic processes forcing increasing attention to the problems of relationships and dependencies between the different age groups. The ageing of the population in each society leads to changes in the contacts between young people, adults and the elderly. It is reasonable to undertake research on the concept of "solidarity of generations". Maintaining relationships without generational conflict requires actions in the field of social policy known as intergenerational policy. Aim of this article is to present some of its models, which allow not only to analyze the changes in the various communities, but also to create recommendations for public intervention. Description will include activities at the international, national, regional and local levels.
DOI: 10.5281/zenodo.4482824
title: Creative Ageing Policy in Regional Development

description: The shaping of creative economy is particularly important for development of cities and regions. This process can be analyzed in conjunction with changes in work and leisure time and their place in the human life cycle. This article aims to approximate the main features of: contemporary position of elderly people, creative ageing policy, benefits from seniors creativity and controversies linked to this concept. This essay also indicates the patterns of recommendations and activities in development of services for older people which may be the subject of further in-depth research. These examples exist in: (1) documents and strategic programs, (2) the activities of network organizations and (3) the activities of urban cultural and artistic institutions.
DOI: 10.5519/qd.whcmt1gn
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (246 records)
DOI: 10.3886/e112588v1-74160
title: Replication data for: The 'Out of Africa' Hypothesis, Human Genetic Diversity, and Comparative Economic Development

description: This research advances and empirically establishes the hypothesis that, in the course of the prehistoric exodus of Homo sapiens out of Africa, variation in migratory distance to various settlements across the globe affected genetic diversity and has had a persistent hump-shaped effect on comparative economic development, reflecting the trade-off between the beneficial and the detrimental effects of diversity on productivity. While the low diversity of Native American populations and the high diversity of African populations have been detrimental for the development of these regions, the intermediate levels of diversity associated with European and Asian populations have been conducive for development. (JEL N10, N30, N50, O10, O50, Z10)