cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.16806949.v2
title: Backyard Bird Observation Experiment

description: Data with meta-data for a backyard birdwatching experiment done as part of course BIOL3250 at York University, Canada. <br> <b>Descriptions of Table:</b><b>Replicate </b>represents the replicate or unique animal observed.<b>Date </b>is the date the observation was made in the format d/m/y.<b>Researcher </b>is the initials of the person who inputted the observational data.<br><b>Location </b>is the broad address of where the data was collected. It includes the name of the neighbourhood and the city it is found in.<b>Species </b>represents the common name of the bird species identified.<b>Frequency </b>is the number of times the species of bird was observed performing a specific behaviour during the 60-minute sampling period.<b>Behaviour </b>is a brief description of the activity the bird was seen doing such as flying, perching on a tree, or interacting with other birds.<b>Duration </b>represents the total amount of time the bird spent on a certain behavior during the sampling period.<b>Noise </b>is if the birds made any noise such as chirping or cawing during the time they were seen doing a behavior.<br> Each row or replicate in the table has a single species of bird per behavior. There is a unique combination of species of bird with behavior in each row as there is one species per behavior per row.<br>The observational study was conducted over a 60-minute period on a single day at 8:30am. The weather during the experiment was clear and sunny with little wind.<br><br>
DOI: 10.6084/m9.figshare.16806949.v1
title: Backyard Bird Observation Experiment

description: Data with meta-data for a backyard birdwatching experiment done as part of course BIOL3250 at York University, Canada. The document includes descriptions on the structure and columns of the dataset, and provides details for replication of the experiment.
DOI: 10.6084/m9.figshare.15420807
title: Data from Steger et al. (2021): Non-indigenous molluscs in the Eastern Mediterranean have distinct traits and cannot replace historic ecosystem functioning

description: Data from: Steger et al. (2021): Non-indigenous molluscs in the Eastern Mediterranean have distinct traits and cannot replace historic ecosystem functioning. Global Ecology and Biogeography: https://doi.org/10.1111/geb.13415<br><b><br></b><b>Contains:</b><br><b>Abundance data</b><br><b>- </b>four .csv-files with abundances of molluscan species at various shallow subtidal soft and hard substrate stations on the Israeli Mediterranean shelf. See Supporting Information Appendix S1 for details on stations and their locations, station names, and a key to sample codes. <br><br>Rows in the files represent samples, columns species. <br><br>Assemblage component types:<br>Living and death assemblage samples are marked by a capital 'L' and 'D' in their sample name, respectively (e.g.: Ash25<b>L</b>na, Ash25<b>D</b>na). Native assemblage components contain 'na' in their sample name (e.g. Ash25L<b>na, </b>Ash25D<b>na</b>), non-indigenous ones 'al' (e.g. Ash25L<b>al</b>). See Appendix S2, sheet 'Metadata', for a detailed explanation of assemblage component identifiers. <br>Species are listed by alpha-numeric species codes. A key matching these codes to taxonomic entities is provided in Appendices S2 and S4, second sheet.<br><br>Data resolution:<br>The files 'abundance data_hard substrates.csv' and 'abundance data_soft substrates' contain data at replicate-level resolution. Sample names consist of a sample code (see Table S1.1, Supplement S1; e.g. <b>S16</b>_1Lna), followed by a suffix representing a combination of a sequential replicate number (e.g. S16_<b>1</b>Lna, S16_<b>2</b>Lna, etc.) and the assemblage component identifier (see above; e.g. S16_1<b>Lna</b>).The files 'abundance data_hard substrates_station aggreg.csv' and 'abundance data_soft substrates_station aggreg.csv' provide the same abundance data aggregated at station-level (i.e., data pooled across replicates). Sample names here represent a combination of station name and assemblage component identifier (see Table S1.1 in Appendix S1, and the key in Appendix S2).<br><br><b>Fuzzy coded trait matrix</b><br>- The file 'traits_all spp_raw scores .csv' contains fuzzy trait scores for each molluscan species present in our samples. For a key to traits and trait modality codes, see Appendix S1, Table S1.3. For an explanation of the trait scoring system used, see Methods (main article).<br>
DOI: 10.6084/m9.figshare.14531349.v1
title: Assessing COVID-induced changes in spatiotemporal structure of mobility in the United States in 2020: a multi-source analytical framework.

description: Dataset for upcoming publication in IJGIS<br>
DOI: 10.15139/s3/ufbhld
title: Monmouth University Arizona Poll, Number 212

description: This survey was conducted among Arizona registered voters and addresses the 2020 Democratic presidential primary the 2020 general election and includes favorability ratings for potential candidates for president and U.S. Senate, job rating for Senator Martha McSally. This poll also includes questions on finances, the US border with Mexico, health care, and the coronovirus pandemic.
DOI: 10.18430/m37d9l
title: X-ray diffraction data for the crystal structure of E. coli Grx2: Enzyme inhibited state in complex with Zinc and glutathione sulfinic acid (7D9L)
DOI: 10.18430/m37plq
title: X-ray diffraction data for the crystal structure of the PARP domain of wheat SRO1 (7PLQ)
DOI: 10.6084/m9.figshare.16891264.v1
title: 20180705 HPLC-RR.xlsx

description: RR assay to evaluate RRM2B enzyme activity
DOI: 10.6084/m9.figshare.16891264
title: 20180705 HPLC-RR-Activity

description: RR assay to evaluate RRM2B enzyme activity
DOI: 10.6084/m9.figshare.16891264.v2
title: 20180705 HPLC-RR.xlsx

description: RR assay to evaluate RRM2B enzyme activity
DOI: 10.6084/m9.figshare.16892095
title: May 2021 Covid-19 + Vaccines Twitter Streaming Dataset

description: The file contains Tweet IDs* for COVID-19 related tweets containing at least one vaccine-related word (i.e., words that starts with vaccin*, vacin*, or vax*) collected in May, 2021 from Twitter's COVID-19 Streaming Endpoint via a custom script developed by the Social Media Lab (https://socialmedialab.ca/). Visit our interactive dashboard at https://stream.covid19misinfo.org/ for a preview and some general stats about this COVID-19 Twitter streaming dataset. For more info about Twitter's COVID-19 Streaming Endpoint, visit https://developer.twitter.com/en/docs/labs/covid19-stream/overview * Note: In accordance with Twitter API Terms, the dataset only includes Tweet IDs (as opposed to the actual tweets and associated metadata). To recollect tweets contained in this dataset, you can use programs such as Communalytic (https://communalytic.com/), Hydrator (https://github.com/DocNow/hydrator/) or the Python library Twarc (https://github.com/DocNow/twarc/).
DOI: 10.6084/m9.figshare.16892095.v1
title: May 2021 Covid-19 + Vaccines Twitter Streaming Dataset

description: The file contains Tweet IDs* for COVID-19 related tweets containing at least one vaccine-related word (i.e., words that starts with vaccin*, vacin*, or vax*) collected in May, 2021 from Twitter's COVID-19 Streaming Endpoint via a custom script developed by the Social Media Lab (https://socialmedialab.ca/). Visit our interactive dashboard at https://stream.covid19misinfo.org/ for a preview and some general stats about this COVID-19 Twitter streaming dataset. For more info about Twitter's COVID-19 Streaming Endpoint, visit https://developer.twitter.com/en/docs/labs/covid19-stream/overview * Note: In accordance with Twitter API Terms, the dataset only includes Tweet IDs (as opposed to the actual tweets and associated metadata). To recollect tweets contained in this dataset, you can use programs such as Communalytic (https://communalytic.com/), Hydrator (https://github.com/DocNow/hydrator/) or the Python library Twarc (https://github.com/DocNow/twarc/).
DOI: 10.15139/s3/gp6ptv
title: Monmouth University Pennsylvania Poll, Number 219

description: This survey was conducted among Pennsylvania registered voters and addresses the 2020 general election including choice for president and US House of Representatives. This poll also includes questions on the coronavirus pandemic, so-called secret voters, voter engagement, and favorability ratings for Donald Trump and Joe Biden.
DOI: 10.6084/m9.figshare.16892104
title: Data Pleasant Decline.xlsx

description: The following is a complete plant list of the species listed by award-winning student projects chosen by the American Society of Landscape Architects (ASLA) from 2005 until 2020 in the category of General Design.<br>
DOI: 10.6084/m9.figshare.16892104.v1
title: Data Pleasant Decline.xlsx

description: The following is a complete plant list of the species listed by award-winning student projects chosen by the American Society of Landscape Architects (ASLA) from 2005 until 2020 in the category of General Design.<br>
DOI: 10.6073/pasta/256cc59654ffbc97fb56adf7688f02c0
title: Co-dominant removal and N and C fertilization experiment for moist meadow tundra from 2002 to 2018

description: In 2002 seven experimental sites were set up in areas of moist meadow alpine tundra on Niwot Ridge. At each site, ten 1 m^2 plots were established where there was roughly even cover by two dominant plant species, Geum rossii (forb) and Deschampsia cespitosa (grass). In a factorial design, plots were assigned treatments of 1) removal of G. rossii, D. cespitosa, or control (no plant removal), and 2) nutrient addition of nitrogen (N), carbon (C), or control (no addition). A tenth plot was assigned a treatment of random biomass removal and no nutrient addition. Plots were visited annually to implement removal and fertilization treatments, and to measure plant species composition. Plant productivity was measured every other year. Carbon addition plots were dropped from the experiment in 2016.
DOI: 10.5281/zenodo.5604962
title: Calidris melanotos decontaminated FSCR

description: .
DOI: 10.5281/zenodo.5604961
title: Calidris melanotos decontaminated FSCR

description: .
DOI: 10.6084/m9.figshare.14775204
title: AJP _ Supplement Material.pdf

description: Our data describes the link between VEGFB and cardiac LPL.
DOI: 10.6084/m9.figshare.14775204.v3
title: AJP _ Supplement Material.pdf

description: Our data describes the link between VEGFB and cardiac LPL.
DOI: 10.25919/c769-y007
title: Parkes observations for project P1068 semester 2021APRS_31

description: In the fast-moving world of Fast Radio Bursts (FRBs), the critical question of what fraction of FRBs emit repeat bursts remains unanswered. Of order 20 repeating FRBs are now known, and their spectro-temporal properties hint at differences with apparently non-repeating bursts - the poor statistics preclude a definitive diagnosis. FRB 180301 is a promising source for further study for multiple reasons: it is an active repeater similar to the FRB 121102 and the most active FRB source visible to Parkes, and it shows diverse polarization properties across the repeat bursts. We have detected multiple repeat bursts from this source in our campaign last semester. The signal-to-noise ratio (S/N) of these detections are not sufficiently significant to measure their spectro-polarimetric properties. We request Parkes observations with the UWL receiver to continue the monitoring of this FRB source in order to characterize the broadband emission properties. Some of the key goals for these future observations are: to constrain the repetition rate, identify any variation of pulse characteristics over time, measure the polarimetric properties and provide insight into the emission mechanisms. The diverse polarization angle swings in the FAST detections and significant circular polarization in the original Parkes detection indicate the progenitor is embedded in an extreme magneto-ionic environment with complex field structure that has not been seen before. Understanding these diverse polarization properties from this source could be the key to distinguish repeater sources from the apparent non-repeaters ones.
DOI: 10.25919/zmyw-7p53
title: Parkes observations for project P595 semester 2021OCTS_02

description: We propose to continue the PULSE@Parkes project in which high school students from Australia and around the World use the Parkes radio telescope in a remote observing model to observe and analyse pulsar data. The data from some PULSE@Parkes observations are used to support the space missions, other observations supplement the P456 Pulsar Timing Array project and the remainder were chosen in order to make a detailed analysis of pulsar timing irregularities and intermittency.
DOI: 10.6084/m9.figshare.14791464
title: Cytometry datasets analyzed in FAUST manuscript

description: Cytometry data analyzed in FAUST manuscript: https://doi.org/10.1016/j.patter.2021.100372<br>
DOI: 10.6084/m9.figshare.14791464.v1
title: Cytometry datasets analyzed in FAUST manuscript

description: Cytometry data analyzed in FAUST manuscript: https://doi.org/10.1016/j.patter.2021.100372<br>
DOI: 10.6084/m9.figshare.16892155
title: May 2021 Covid-19 + Vaccines Twitter Streaming Dataset

description: The file contains Tweet IDs* for COVID-19 related tweets containing at least one vaccine-related word (i.e., words that starts with vaccin*, vacin*, or vax*) collected in May, 2021 from Twitter's COVID-19 Streaming Endpoint via a custom script developed by the Social Media Lab (https://socialmedialab.ca/). Visit our interactive dashboard at https://stream.covid19misinfo.org/ for a preview and some general stats about this COVID-19 Twitter streaming dataset. For more info about Twitter's COVID-19 Streaming Endpoint, visit https://developer.twitter.com/en/docs/labs/covid19-stream/overview * Note: In accordance with Twitter API Terms, the dataset only includes Tweet IDs (as opposed to the actual tweets and associated metadata). To recollect tweets contained in this dataset, you can use programs such as Communalytic (https://communalytic.com/), Hydrator (https://github.com/DocNow/hydrator/) or the Python library Twarc (https://github.com/DocNow/twarc/).
DOI: 10.6084/m9.figshare.16892155.v1
title: May 2021 Covid-19 + Vaccines Twitter Streaming Dataset

description: The file contains Tweet IDs* for COVID-19 related tweets containing at least one vaccine-related word (i.e., words that starts with vaccin*, vacin*, or vax*) collected in May, 2021 from Twitter's COVID-19 Streaming Endpoint via a custom script developed by the Social Media Lab (https://socialmedialab.ca/). Visit our interactive dashboard at https://stream.covid19misinfo.org/ for a preview and some general stats about this COVID-19 Twitter streaming dataset. For more info about Twitter's COVID-19 Streaming Endpoint, visit https://developer.twitter.com/en/docs/labs/covid19-stream/overview * Note: In accordance with Twitter API Terms, the dataset only includes Tweet IDs (as opposed to the actual tweets and associated metadata). To recollect tweets contained in this dataset, you can use programs such as Communalytic (https://communalytic.com/), Hydrator (https://github.com/DocNow/hydrator/) or the Python library Twarc (https://github.com/DocNow/twarc/).
DOI: 10.5281/zenodo.5605206
title: Erasure Dataset

description: This spreadsheet contains +400 creative works that use erasure techniques, methods, or processes in their composition and display. This dataset has been compiled by Álvaro Seiça between 2018-20. This project received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement no. 793147, ARTDEL. More info at https://artdel.net
DOI: 10.5517/ccdc.csd.cc25ynf7
title: CCDC 2024499: Experimental Crystal Structure Determination

description: Related Article: Han-Qi Zhou, Xing-Wei Gu, Xiao-Hua Zhou, Li Li, Fei Ye, Guan-Wu Yin, Zheng Xu, Li-Wen Xu|2021|Chemical Science|12|13737|doi:10.1039/D1SC04558J
DOI: 10.5517/ccdc.csd.cc260md8
title: CCDC 2026389: Experimental Crystal Structure Determination

description: Related Article: Subarna Jyoti Kalita, Zhen-Ni Zhao, Zi-Han Li, Feng Cheng, Yan Zhao, Yi-Yong Huang|2021|Eur.J.Org.Chem.|2021|5530|doi:10.1002/ejoc.202100759
DOI: 10.5517/ccdc.csd.cc27hgks
title: CCDC 2070445: Experimental Crystal Structure Determination

description: Related Article: Malte Fischer, Manfred Manßen, Marc Schmidtmann, Thorsten Klüner, Rüdiger Beckhaus|2021|Chemical Science|12|13711|doi:10.1039/D1SC04334J
DOI: 10.5517/ccdc.csd.cc27hglt
title: CCDC 2070446: Experimental Crystal Structure Determination

description: Related Article: Malte Fischer, Manfred Manßen, Marc Schmidtmann, Thorsten Klüner, Rüdiger Beckhaus|2021|Chemical Science|12|13711|doi:10.1039/D1SC04334J
DOI: 10.5517/ccdc.csd.cc27hgmv
title: CCDC 2070447: Experimental Crystal Structure Determination

description: Related Article: Malte Fischer, Manfred Manßen, Marc Schmidtmann, Thorsten Klüner, Rüdiger Beckhaus|2021|Chemical Science|12|13711|doi:10.1039/D1SC04334J
DOI: 10.6084/m9.figshare.16890565.v2
title: QChip1 array genotypes

description: Genotypes for Qataris and New Yorkers genotyped using the QChip array
DOI: 10.6084/m9.figshare.16890565
title: QChip1 array genotypes

description: Genotypes for Qataris and New Yorkers genotyped using the QChip array
DOI: 10.6084/m9.figshare.16890565.v1
title: QChip1 array genotypes

description: Genotypes for Qataris and New Yorkers genotyped using the QChip array
DOI: 10.6084/m9.figshare.16890772
title: May 2021 Covid-19 Twitter Streaming Dataset

description: The file contains Tweet IDs* for COVID-19 related tweets collected in <b>June, 2021</b> from <b>Twitter's COVID-19 Streaming Endpoint </b>via a custom script developed by the <b>Social Media Lab (https://socialmedialab.ca/)</b>.<br>Visit <b>our interactive dashboard at https://stream.covid19misinfo.org</b>/ for a preview and some general stats about this COVID-19 Twitter streaming dataset.<br>For more info about <b>Twitter's COVID-19 Streaming Endpoint</b>, visit <b>https://developer.twitter.com/en/docs/labs/covid19-stream/overview</b><br><b>Note</b>: In accordance with Twitter API Terms, the dataset only includes Tweet IDs (as opposed to the actual tweets and associated metadata). To recollect tweets contained in this dataset, you can use programs such as Hydrator (https://github.com/DocNow/hydrator/) or the Python library Twarc (https://github.com/DocNow/twarc/).
DOI: 10.6084/m9.figshare.16890772.v1
title: May 2021 Covid-19 Twitter Streaming Dataset

description: The file contains Tweet IDs* for COVID-19 related tweets collected in <b>June, 2021</b> from <b>Twitter's COVID-19 Streaming Endpoint </b>via a custom script developed by the <b>Social Media Lab (https://socialmedialab.ca/)</b>.<br>Visit <b>our interactive dashboard at https://stream.covid19misinfo.org</b>/ for a preview and some general stats about this COVID-19 Twitter streaming dataset.<br>For more info about <b>Twitter's COVID-19 Streaming Endpoint</b>, visit <b>https://developer.twitter.com/en/docs/labs/covid19-stream/overview</b><br><b>Note</b>: In accordance with Twitter API Terms, the dataset only includes Tweet IDs (as opposed to the actual tweets and associated metadata). To recollect tweets contained in this dataset, you can use programs such as Hydrator (https://github.com/DocNow/hydrator/) or the Python library Twarc (https://github.com/DocNow/twarc/).
DOI: 10.5281/zenodo.5605414
title: Erasure Dataset

description: This spreadsheet contains +400 creative works that use erasure techniques, methods, or processes in their composition and display. This dataset has been compiled by Álvaro Seiça between 2018-20. This project received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement no. 793147, ARTDEL. More info at https://artdel.net
DOI: 10.5281/zenodo.5605205
title: Erasure Dataset

description: This spreadsheet contains +400 creative works that use erasure techniques, methods, or processes in their composition and display. This dataset has been compiled by Álvaro Seiça between 2018-20. This project received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement no. 793147, ARTDEL. More info at https://artdel.net
DOI: 10.6084/m9.figshare.14920365
title: DATASET - COVID-19 gardening could herald a greener, healthier future

description: This dataset and R code refer to the manuscript by Brenda B. Lin, Monika H. Egerer, Jonathan Kingsley, Pauline Marsh, Lucy Diekmann, and Alessandro Ossola, 2021. <b>COVID-19 gardening could herald a greener, healthier future</b>. <i>Frontiers in Ecology and the Environment</i>, 19: 491–93. doi.org/10.1002/fee.2416.
DOI: 10.6084/m9.figshare.14920365.v1
title: DATASET - COVID-19 gardening could herald a greener, healthier future

description: This dataset and R code refer to the manuscript by Brenda B. Lin, Monika H. Egerer, Jonathan Kingsley, Pauline Marsh, Lucy Diekmann, and Alessandro Ossola, 2021. <b>COVID-19 gardening could herald a greener, healthier future</b>. <i>Frontiers in Ecology and the Environment</i>, 19: 491–93. doi.org/10.1002/fee.2416.
DOI: 10.17632/hgs7f269k8.2
title: Data sets for sampling locations, water parameters, chemical compositions, isotopic compositions of Jiulongjiang River 

description: Data sets for sampling locations, water parameters, chemical compositions, δ13CDIC isotopic compositions of Jiulongjiang River
DOI: 10.17632/xf2w3yccz2.1
title: Cryo-EM Structure of the Periplasmic Tunnel of T7 DNA-Ejectosome at 2.7 Å resolution. Swanson et al.

description: The T7 phage ejects three proteins called ejection proteins into the host cell envelope upon adsorption. Ejection proteins gp14, gp15, and gp16 assemble a DNA ejectosome to transport the viral genome across the cell envelope. Gp15 and gp16 form the periplasmic tunnel of the DNA ejectosome which we have resolved to 2.7 A resolution using cryo-electron microscopy single-particle analysis.
DOI: 10.17632/tk6rj89c5g.3
title: EFFECT OF TWO HOUSING SYSTEMS ON BROILER PRODUCTION AND HEAT STRESS MANAGEMENT

description: A RESEARCH PAPER ON THE EFFECT OF TWO HOUSING SYSTEMS ON BROILER PRODUCTION AND HEAT STRESS MANAGEMENT
DOI: 10.17632/mkjdcpfcm7.1
title: Variação Espacial do δ13C no Solo para a Serra da Canastra/MG

description: Razões isotópicas de carbono (δ13C) têm sido uma ferramenta aplicada em diversos contextos ecológicos. O δ13C no solo é controlado pelo clima, mas também pode ser influenciado por outras variáveis ambientais em escalas mais refinadas, como topografia, solos e vegetação. O objetivo deste trabalho foi identificar as variáveis que influenciam a variação espacial do δ13C no solo e elaborar um modelo de estimativa do δ13C no solo baseado em análise de regressão múltipla na Serra da Canastra, Minas Gerais, Brasil. Foram utilizadas 32 amostras de solo no intervalo de profundidade de 0-20 cm e um conjunto de variáveis do solo, da vegetação e altitude. O ajuste do modelo indicou que o índice de vegetação ajustado ao solo para o mês de abril (SAVI), teor de silte no solo, concentração de carbono no solo e susceptibilidade magnética em alta frequência explicaram a variação do δ13C no solo (R² = 0,62; p < 0,001). O modelo estimado de δ13C no solo apresentou valores que variaram entre -22‰ e -10‰. A distãncia não significativa entre a linha de regressão e a linha 1:1 mostra que o modelo estimado ainda não pode ser validado, mas a relação significativa entre os valores de δ13C no solo observados e estimados indica potencial da aplicação da abordagem. Para novos estudos é necessário estabelecer um adensamento amostral que possibilite não apenas o levantamento de dados isotópicos, mas que melhore as interpolações das variáveis ambientais que alimentam os modelos de predição.