cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.7752520
title: Probabilistic projections of mean sea level change in Finland by 2100

description: <strong>Paper describing the methods used to calculate these projections: Pellikka, H., Johansson, M. M., Nordman, M., and Ruosteenoja, K.: Probabilistic projections and past trends of sea level rise in Finland, Nat. Hazards Earth Syst. Sci., https://doi.org/10.5194/nhess-2022-230, 2023.</strong> This dataset includes probability distributions of projected mean sea level in Finland in 2030, 2040, ... 2100, as well as time series of projected mean sea level 2005-2100. Data is provided for 13 tide gauge locations and 3 emission scenarios: low (RCP2.6 / SSP1-2.6), medium (RCP4.5 / SSP2-4.5), and high (RCP8.5 / SSP5-8.5). There are two data packages, <em>distributions.zip</em> and <em>timeseries.zip</em>. The data files included in these packages are tab- or space-delimited text files with the file extension .dat. All filenames start with a three-character code xxx that determines the tide gauge (1-letter symbol) and the emission scenario (2 digits). For example: v26 means Vaasa, low emission scenario (RCP2.6 / SSP1-2.6)<br> e45 means Helsinki, medium emission scenario (RCP4.5 / SSP2-4.5)<br> t85 means Turku, high emission scenario (RCP8.5 / SSP5-8.5) The letter symbols and locations of the tide gauges are, from north to south along the coast: a - Kemi (65.67 N, 24.52 E)<br> o - Oulu (65.04 N, 25.42 E)<br> b - Raahe (64.67 N, 24.41 E)<br> p - Pietarsaari (63.71 N, 22.69 E)<br> v - Vaasa (63.08 N, 21.57 E)<br> s - Kaskinen (62.34 N, 21.21 E)<br> m - Mäntyluoto (61.59 N, 21.46 E)<br> r - Rauma (61.13 N, 21.44 E)<br> t - Turku (60.43 N, 22.1 E)<br> d - Degerby (60.03 N, 20.38 E)<br> h - Hanko (59.82 N, 22.98 E)<br> e - Helsinki (60.15 N, 24.96 E)<br> f - Hamina (60.56 N, 27.18 E) 1) <em>distributions.zip &gt; xxx_fitdistr_yyyy.dat</em><br> These files include the probability distribution (probability density function) of projected mean sea level in year yyyy (2030, 2040, ... 2100). There are two columns: sea level and probability. Sea level values are millimetres in the Finnish N2000 height system. 2)<em> timeseries.zip &gt; xxx_timeseries.dat</em><br> These files include the time series of projected mean sea level in 2005-2100. The files have 8 columns: year and 7 sea level values representing different percentiles of the probability distribution. The percentiles are 1%, 5%, 17%, 50% (median), 83%, 95%, 99%. Sea level values are centimetres in the Finnish N2000 height system. <strong>Please note that all projections for years other than 2100 are indicative and based on a simple 2nd order fit made to the current rate of mean sea level change and the projected mean sea level in 2100. In other words, the projections for intermediate years are based on the 2100 projections assuming constant acceleration in mean sea level change rates.</strong> Example figures <em>distributions.png</em> and <em>timeseries.png</em> are included to illustrate the data. The Matlab script <em>slrfinland_figures.m</em> used to produce these figures is also included.
DOI: 10.5281/zenodo.7751897
title: Exposing the CSI - S4

description: This dataset has been used to study a CSI-based activity-recognition framework in the paper "Exposing the CSI: A Systematic Investigation of CSI-based Wi-Fi Sensing Capabilities and Limitations". The dataset is split into several archives, one for each experiment considered in the paper. A description of all the experiments can be found in the paper, together with a map of the lab reporting the location of all the nodes and target positions.
DOI: 10.5281/zenodo.7751896
title: Exposing the CSI - S4

description: This dataset has been used to study a CSI-based activity-recognition framework in the paper "Exposing the CSI: A Systematic Investigation of CSI-based Wi-Fi Sensing Capabilities and Limitations". The dataset is split into several archives, one for each experiment considered in the paper. A description of all the experiments can be found in the paper, together with a map of the lab reporting the location of all the nodes and target positions.
DOI: 10.5281/zenodo.7752229
title: FNS Synergia FemtoLippmann Data, Galatea Laboratory

description: Dataset of Galatea laboratory activity in the framework of the FNS Synergia collaboration, FemtoLippmann
DOI: 10.5281/zenodo.7752228
title: FNS Synergia FemtoLippmann Data, Galatea Laboratory

description: Dataset of Galatea laboratory activity in the framework of the FNS Synergia collaboration, FemtoLippmann
DOI: 10.5281/zenodo.7751907
title: Exposing the CSI - S5

description: This dataset has been used to study a CSI-based activity-recognition framework in the paper "Exposing the CSI: A Systematic Investigation of CSI-based Wi-Fi Sensing Capabilities and Limitations". The dataset is split into several archives, one for each experiment considered in the paper. A description of all the experiments can be found in the paper, together with a map of the lab reporting the location of all the nodes and target positions.
DOI: 10.5281/zenodo.7751906
title: Exposing the CSI - S5

description: This dataset has been used to study a CSI-based activity-recognition framework in the paper "Exposing the CSI: A Systematic Investigation of CSI-based Wi-Fi Sensing Capabilities and Limitations". The dataset is split into several archives, one for each experiment considered in the paper. A description of all the experiments can be found in the paper, together with a map of the lab reporting the location of all the nodes and target positions.
DOI: 10.5281/zenodo.7708787
title: Monthly Samples of German Tweets (2023)

description: <strong>Important:</strong> Due to data format changes in the Twitter Streaming API, recording will be discontinued in March 2023 until further notice, as the data provided can no longer be provided in the same format. This dataset contains German tweets and Twitter accounts recorded from the public Twitter Streaming API using the following filters: terms: <em>'a'</em>, <em>'e'</em>, <em>'i'</em>, <em>'o'</em>, <em>'u'</em>, and <em>'n'</em> language: <em>'de'</em> This filter combination should record a 1% sample of (almost) all German tweets (in German, it is very unlikely that terms do not contain vowels or the frequently used character <em>'n'</em>). This dataset might be helpful for the following use cases: Natural language processing (focussing on Twitter specifics in German, there exist only little German datasets) Social Network Analysis (Twitter network) Identifying behavioural patterns (retweeting, quoting, replying, hate speech, ...) Sharing political (or other domain-specific) content Bot detection and more ... This dataset will be updated monthly. Each sample (starting in January 2023) will follow the following naming pattern: german-tweet-sample-<em>&lt;YEAR&gt;</em>-<em>&lt;MONTH&gt;</em>.zip (size: ~ 1GB) It will contain several bunches of recorded JSON gzipped files.
DOI: 10.5281/zenodo.7670097
title: Monthly Samples of German Tweets (2023)

description: <strong>Important:</strong> Due to data format changes in the Twitter Streaming API, recording will be discontinued in March 2023 until further notice, as the data provided can no longer be provided in the same format. This dataset contains German tweets and Twitter accounts recorded from the public Twitter Streaming API using the following filters: terms: <em>'a'</em>, <em>'e'</em>, <em>'i'</em>, <em>'o'</em>, <em>'u'</em>, and <em>'n'</em> language: <em>'de'</em> This filter combination should record a 1% sample of (almost) all German tweets (in German, it is very unlikely that terms do not contain vowels or the frequently used character <em>'n'</em>). This dataset might be helpful for the following use cases: Natural language processing (focussing on Twitter specifics in German, there exist only little German datasets) Social Network Analysis (Twitter network) Identifying behavioural patterns (retweeting, quoting, replying, hate speech, ...) Sharing political (or other domain-specific) content Bot detection and more ... This dataset will be updated monthly. Each sample (starting in January 2023) will follow the following naming pattern: german-tweet-sample-<em>&lt;YEAR&gt;</em>-<em>&lt;MONTH&gt;</em>.zip (size: ~ 1GB) It will contain several bunches of recorded JSON gzipped files.
DOI: 10.6084/m9.figshare.22303501
title: zmh-Supplementary tables.xlsx

description: <strong>Table S1.</strong> Summary statistics of the 16S rRNA gene sequencing results in the ileum. <strong>Table S2.</strong> Summary statistics of the 16S rRNA gene sequencing results in the cecum. <strong>Table S3. </strong>Topological properties of co-occurrence networks in cecal microbial communities of the HBW chickens. <strong>Table S4. </strong>Topological properties of co-occurrence networks in cecal microbial communities of the LBW chickens. <strong>Table S5.</strong> Topological properties of co-occurrence networks in cecal microbial communities between the HBW and LBW chickens. <strong>Table S6. </strong>Significantly changed metabolites (SCMs) between the HBW and LBW chickens. <strong>Table S7. </strong>KEGG enrichment analysis between the HBW and LBW chickens. <strong>Table S8.</strong> Summary statistics of the RNA sequencing results in the cecum. <strong>Table S9.</strong> Differentially expressed genes (DEGs) between the HBW and LBW chickens. <strong>Table S10.</strong> GO enrichment analysis of DEGs between the HBW and LBW chickens. <strong>Table S11.</strong> KEGG enrichment analysis of DEGs between the HBW and LBW chickens. <strong>Table S12. </strong>GO enrichment analysis in cluster Ⅰ of DEGs. <strong>Table S13. </strong>GO enrichment analysis in cluster Ⅱ of DEGs. <strong>Table S14.</strong> GO enrichment analysis in cluster Ⅲ of DEGs. <strong>Table S15.</strong> GO enrichment analysis in cluster Ⅳ of DEGs. <strong>Table S16. </strong>Information of bacterial isolates from the HBW chicken gut. <strong>Table S17. </strong>The whole-genome sequencing information of four strains. <strong>Table S18.</strong> Topological properties of co-occurrence networks in cecal microbial communities between the CON and CML393+CML396 chickens. <strong>Table S19. </strong>SCMs between the CON and CML393+CML396 chickens. <strong>Table S20. </strong>DEGs between the CON and CML393+CML396 chickens. <strong>Table S21.</strong> KEGG enrichedment analysis of DEGs between the CON and CML393+CML396 chickens. <strong>Table S22.</strong> List of primer sequence for RT-qPCR analysis.
DOI: 10.6084/m9.figshare.22303501.v2
title: zmh-Supplementary tables.xlsx

description: <strong>Table S1.</strong> Summary statistics of the 16S rRNA gene sequencing results in the ileum. <strong>Table S2.</strong> Summary statistics of the 16S rRNA gene sequencing results in the cecum. <strong>Table S3. </strong>Topological properties of co-occurrence networks in cecal microbial communities of the HBW chickens. <strong>Table S4. </strong>Topological properties of co-occurrence networks in cecal microbial communities of the LBW chickens. <strong>Table S5.</strong> Topological properties of co-occurrence networks in cecal microbial communities between the HBW and LBW chickens. <strong>Table S6. </strong>Significantly changed metabolites (SCMs) between the HBW and LBW chickens. <strong>Table S7. </strong>KEGG enrichment analysis between the HBW and LBW chickens. <strong>Table S8.</strong> Summary statistics of the RNA sequencing results in the cecum. <strong>Table S9.</strong> Differentially expressed genes (DEGs) between the HBW and LBW chickens. <strong>Table S10.</strong> GO enrichment analysis of DEGs between the HBW and LBW chickens. <strong>Table S11.</strong> KEGG enrichment analysis of DEGs between the HBW and LBW chickens. <strong>Table S12. </strong>GO enrichment analysis in cluster Ⅰ of DEGs. <strong>Table S13. </strong>GO enrichment analysis in cluster Ⅱ of DEGs. <strong>Table S14.</strong> GO enrichment analysis in cluster Ⅲ of DEGs. <strong>Table S15.</strong> GO enrichment analysis in cluster Ⅳ of DEGs. <strong>Table S16. </strong>Information of bacterial isolates from the HBW chicken gut. <strong>Table S17. </strong>The whole-genome sequencing information of four strains. <strong>Table S18.</strong> Topological properties of co-occurrence networks in cecal microbial communities between the CON and CML393+CML396 chickens. <strong>Table S19. </strong>SCMs between the CON and CML393+CML396 chickens. <strong>Table S20. </strong>DEGs between the CON and CML393+CML396 chickens. <strong>Table S21.</strong> KEGG enrichedment analysis of DEGs between the CON and CML393+CML396 chickens. <strong>Table S22.</strong> List of primer sequence for RT-qPCR analysis.
DOI: 10.6084/m9.figshare.22303501.v1
title: zmh-Supplementary tables.xlsx

description: <strong>Table S1.</strong> Summary statistics of the 16S rRNA gene sequencing results in the ileum. <strong>Table S2.</strong> Summary statistics of the 16S rRNA gene sequencing results in the cecum. <strong>Table S3. </strong>Topological properties of co-occurrence networks in cecal microbial communities of the HBW chickens. <strong>Table S4. </strong>Topological properties of co-occurrence networks in cecal microbial communities of the LBW chickens. <strong>Table S5.</strong> Topological properties of co-occurrence networks in cecal microbial communities between the HBW and LBW chickens. <strong>Table S6. </strong>Significantly changed metabolites (SCMs) between the HBW and LBW chickens. <strong>Table S7. </strong>KEGG enrichment analysis between the HBW and LBW chickens. <strong>Table S8.</strong> Summary statistics of the RNA sequencing results in the cecum. <strong>Table S9.</strong> Differentially expressed genes (DEGs) between the HBW and LBW chickens. <strong>Table S10.</strong> GO enrichment analysis of DEGs between the HBW and LBW chickens. <strong>Table S11.</strong> KEGG enrichment analysis of DEGs between the HBW and LBW chickens. <strong>Table S12. </strong>GO enrichment analysis in cluster Ⅰ of DEGs. <strong>Table S13. </strong>GO enrichment analysis in cluster Ⅱ of DEGs. <strong>Table S14.</strong> GO enrichment analysis in cluster Ⅲ of DEGs. <strong>Table S15.</strong> GO enrichment analysis in cluster Ⅳ of DEGs. <strong>Table S16. </strong>Information of bacterial isolates from the HBW chicken gut. <strong>Table S17. </strong>The whole-genome sequencing information of four strains. <strong>Table S18.</strong> Topological properties of co-occurrence networks in cecal microbial communities between the CON and CML393+CML396 chickens. <strong>Table S19. </strong>SCMs between the CON and CML393+CML396 chickens. <strong>Table S20. </strong>DEGs between the CON and CML393+CML396 chickens. <strong>Table S21.</strong> KEGG enrichedment analysis of DEGs between the CON and CML393+CML396 chickens. <strong>Table S22.</strong> List of primer sequence for RT-qPCR analysis.
DOI: 10.35078/nslyry
title: Replication Data for: Ficha epidemiológica de localidade: Distrito: Varginha | Município: Camacho

description: Levantamento Triatomínico com operações de campo ocorridas em Minas Gerais pela Superintendência de Campanhas de Saúde Pública (SUCAM) e FUNASA (Fundação Nacional de Saúde), no período de 1979 a 1999, objetivando a busca da presença de vetores da doença de Chagas ou de vestígios dessa presença. A partir dela são orientadas as operações com inseticida (pt) Triatomine survey with field operations carried out in Minas Gerais by the Public Health Campaigns Superintendence (SUCAM) and FUNASA (National Health Foundation), from 1979 to 1999, aiming to search for the presence of Chagas disease vectors or traces of that presence. From it, operations with insecticide are guided (en) Encuesta de triatominos con operaciones de campo realizada en Minas Gerais por la Superintendencia de Campañas de Salud Pública (SUCAM) y FUNASA (Fundación Nacional de Salud), de 1979 a 1999, con el objetivo de buscar la presencia de vectores de la enfermedad de Chagas o rastros de esa presencia. Desde ella se orientan las operaciones con insecticida (es)
DOI: 10.5281/zenodo.7007219
title: Dataset for manuscript "Satellite Observations of Smoke-Cloud-Radiation Interactions Over the Amazon Rainforest"

description: Dataset and scripts related to the manuscript "Satellite Observations of Smoke-Cloud-Radiation Interactions Over the Amazon Rainforest" by Ross Herbert and Philip Stier
DOI: 10.5281/zenodo.7007220
title: Dataset for manuscript "Satellite Observations of Smoke-Cloud-Radiation Interactions Over the Amazon Rainforest"

description: Dataset and scripts related to the manuscript "Satellite Observations of Smoke-Cloud-Radiation Interactions Over the Amazon Rainforest" by Ross Herbert and Philip Stier
DOI: 10.5281/zenodo.7751909
title: Exposing the CSI - S6

description: This dataset has been used to study a CSI-based activity-recognition framework in the paper "Exposing the CSI: A Systematic Investigation of CSI-based Wi-Fi Sensing Capabilities and Limitations". The dataset is split into several archives, one for each experiment considered in the paper. A description of all the experiments can be found in the paper, together with a map of the lab reporting the location of all the nodes and target positions.
DOI: 10.5281/zenodo.7751908
title: Exposing the CSI - S6

description: This dataset has been used to study a CSI-based activity-recognition framework in the paper "Exposing the CSI: A Systematic Investigation of CSI-based Wi-Fi Sensing Capabilities and Limitations". The dataset is split into several archives, one for each experiment considered in the paper. A description of all the experiments can be found in the paper, together with a map of the lab reporting the location of all the nodes and target positions.
DOI: 10.35078/zkldgg
title: Replication Data for: Ficha epidemiológica de localidade: Distrito: Varginha | Município: Brumadinho

description: Levantamento Triatomínico com operações de campo ocorridas em Minas Gerais pela Superintendência de Campanhas de Saúde Pública (SUCAM) e FUNASA (Fundação Nacional de Saúde), no período de 1979 a 1999, objetivando a busca da presença de vetores da doença de Chagas ou de vestígios dessa presença. A partir dela são orientadas as operações com inseticida (pt) Triatomine survey with field operations carried out in Minas Gerais by the Public Health Campaigns Superintendence (SUCAM) and FUNASA (National Health Foundation), from 1979 to 1999, aiming to search for the presence of Chagas disease vectors or traces of that presence. From it, operations with insecticide are guided (en) Encuesta de triatominos con operaciones de campo realizada en Minas Gerais por la Superintendencia de Campañas de Salud Pública (SUCAM) y FUNASA (Fundación Nacional de Salud), de 1979 a 1999, con el objetivo de buscar la presencia de vectores de la enfermedad de Chagas o rastros de esa presencia. Desde ella se orientan las operaciones con insecticida (es)
DOI: 10.18112/openneuro.ds004017.v1.0.3
title: Embodied Learning for Literacy EEG
DOI: 10.34740/kaggle/dsv/5201083
title: COVID Vaccination in World (updated daily)
DOI: 10.6084/m9.figshare.22303588
title: Social learning favors others’ success over others’ failure

description: Dataset of paper "Social learning favors others’ success over others’ failure".
DOI: 10.6084/m9.figshare.22303588.v1
title: Social learning favors others’ success over others’ failure

description: Dataset of paper "Social learning favors others’ success over others’ failure".
DOI: 10.35078/d1cjpx
title: Replication Data for: Ficha epidemiológica de localidade: Distrito: Varginha | Município: Biquinhas

description: Levantamento Triatomínico com operações de campo ocorridas em Minas Gerais pela Superintendência de Campanhas de Saúde Pública (SUCAM) e FUNASA (Fundação Nacional de Saúde), no período de 1979 a 1999, objetivando a busca da presença de vetores da doença de Chagas ou de vestígios dessa presença. A partir dela são orientadas as operações com inseticida (pt) Triatomine survey with field operations carried out in Minas Gerais by the Public Health Campaigns Superintendence (SUCAM) and FUNASA (National Health Foundation), from 1979 to 1999, aiming to search for the presence of Chagas disease vectors or traces of that presence. From it, operations with insecticide are guided (en) Encuesta de triatominos con operaciones de campo realizada en Minas Gerais por la Superintendencia de Campañas de Salud Pública (SUCAM) y FUNASA (Fundación Nacional de Salud), de 1979 a 1999, con el objetivo de buscar la presencia de vectores de la enfermedad de Chagas o rastros de esa presencia. Desde ella se orientan las operaciones con insecticida (es)
DOI: 10.35078/lrqh5e
title: Replication Data for: Ficha epidemiológica de localidade: Distrito: Varginha | Município: Bambuí

description: Levantamento Triatomínico com operações de campo ocorridas em Minas Gerais pela Superintendência de Campanhas de Saúde Pública (SUCAM) e FUNASA (Fundação Nacional de Saúde), no período de 1979 a 1999, objetivando a busca da presença de vetores da doença de Chagas ou de vestígios dessa presença. A partir dela são orientadas as operações com inseticida (pt) Triatomine survey with field operations carried out in Minas Gerais by the Public Health Campaigns Superintendence (SUCAM) and FUNASA (National Health Foundation), from 1979 to 1999, aiming to search for the presence of Chagas disease vectors or traces of that presence. From it, operations with insecticide are guided (en) Encuesta de triatominos con operaciones de campo realizada en Minas Gerais por la Superintendencia de Campañas de Salud Pública (SUCAM) y FUNASA (Fundación Nacional de Salud), de 1979 a 1999, con el objetivo de buscar la presencia de vectores de la enfermedad de Chagas o rastros de esa presencia. Desde ella se orientan las operaciones con insecticida (es)
DOI: 10.5281/zenodo.7377843
title: Modeling the Sequence Dependence of Differential Antibody Binding in the Immune Response to Infectious Disease

description: Raw peptide microarray data of fluorescence intensities representing relative binding of antibodies in sera samples collected from different cohorts of patients diagnosed with a number of viral infections. Healthy controls are also included. Columns: Sequence - peptide sequence HCV - Hepatitis Virus C Dengue - Dengue virus WNV - West Nile Virus HBV - Hepatitis Virus B Chagas - Chagas disease ND - negative/healthy donor LowCV - low coefficient of variation HighCV - high coefficient of variation
description: The data that was used in this analysis was collected under Chemical Biological Technologies Directorate contracts HDTRA-11-1-0010, HDTRA1-12-C-0058 from the Department of Defense (Defense Threat Reduction Agency, DTRA).
DOI: 10.5281/zenodo.7377844
title: Modeling the Sequence Dependence of Differential Antibody Binding in the Immune Response to Infectious Disease

description: Raw peptide microarray data of fluorescence intensities representing relative binding of antibodies in sera samples collected from different cohorts of patients diagnosed with a number of viral infections. Healthy controls are also included. Columns: Sequence - peptide sequence HCV - Hepatitis Virus C Dengue - Dengue virus WNV - West Nile Virus HBV - Hepatitis Virus B Chagas - Chagas disease ND - negative/healthy donor LowCV - low coefficient of variation HighCV - high coefficient of variation
description: The data that was used in this analysis was collected under Chemical Biological Technologies Directorate contracts HDTRA-11-1-0010, HDTRA1-12-C-0058 from the Department of Defense (Defense Threat Reduction Agency, DTRA).