cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.6395048.v1
title: Nanofibrillated cellulose causes acute pulmonary inflammation that subsides within a month

description: Nanofibrillated cellulose (NFC) is a renewable nanomaterial that has beneficial uses in various applications such as packaging materials and paper. Like carbon nanotubes (CNT), NFCs have high aspect ratio and favorable mechanical properties. The aspect ratio also rises a concern whether NFC could pose a health risk and induce pathologies, similar to those triggered by multi-walled CNT. In this study, we explored the immunomodulatory properties of four NFCs <i>in vitro</i> and <i>in vivo</i>, and compared the results with data on bulk-sized cellulose fibrils and rigid multi-walled CNT (rCNT). Two of the NFCs were non-functionalized and two were carboxymethylated or carboxylated. We investigated the production of pro-inflammatory cytokines in differentiated THP-1 cells, and studied the pulmonary effects and biopersistence of the materials in mice. Our results demonstrate that one of the non-functionalized NFCs tested reduced cell viability and triggered pro-inflammatory reactions <i>in vitro</i>. In contrast, all cellulose materials induced innate immunity response <i>in vivo</i> 24 h after oropharyngeal aspiration, and the non-functionalized NFCs additionally caused features of Th2-type inflammation. Modest immune reactions were also seen after 28 days, however, the effects were markedly attenuated as compared with the ones after 24 h. Cellulose materials were not cleared within 1 month, as demonstrated by their presence in the exposed lungs. All effects of NFC were modest as compared with those induced by rCNT. NFC-induced responses were similar or exceeded those triggered by bulk-sized cellulose. These data provide new information about the biodurability and pulmonary effects of different NFCs; this knowledge can be useful in the risk assessment of cellulose materials.
DOI: 10.6084/m9.figshare.6394892
title: Testing domain general learning in an Australian lizard

description: A key question in cognition is whether animals that are proficient in a specific cognitive domain (domain specific hypothesis), such as spatial learning, are also proficient in other domains (domain general hypothesis) or whether there is a trade-off. To answer this question, we used Australian eastern water skinks (Eulamprus quoyii) with known spatial learning ability in three additional tasks: an instrumental and two discrimination tasks. All experiments were carried out in labs and all lizards experienced similar light and food conditions. The spatial learning ability was denoted in Column “Spatial_learner”. The learning result for each trial was denoted in column learn_trial, with "0" means not learning, and "1"means learning.If the lizard reached our criteria for learner, we gave "1"to them in column learner. If the lizard made correct choice, we gave "1" to them in column choice.
DOI: 10.6084/m9.figshare.6394892.v1
title: Testing domain general learning in an Australian lizard

description: A key question in cognition is whether animals that are proficient in a specific cognitive domain (domain specific hypothesis), such as spatial learning, are also proficient in other domains (domain general hypothesis) or whether there is a trade-off. To answer this question, we used Australian eastern water skinks (Eulamprus quoyii) with known spatial learning ability in three additional tasks: an instrumental and two discrimination tasks. All experiments were carried out in labs and all lizards experienced similar light and food conditions. The spatial learning ability was denoted in Column “Spatial_learner”. The learning result for each trial was denoted in column learn_trial, with "0" means not learning, and "1"means learning.If the lizard reached our criteria for learner, we gave "1"to them in column learner. If the lizard made correct choice, we gave "1" to them in column choice.
DOI: 10.6084/m9.figshare.6394856
title: Data-Kang Qi-PLOSone.xls

description: plos one
DOI: 10.6084/m9.figshare.6394856.v1
title: Data-Kang Qi-PLOSone.xls

description: plos one
DOI: 10.6084/m9.figshare.6394631
title: Stream Bacterial Community - Sediment 16S rRNA gene sequencing - Pyrosequencing 454 - Raw sequences

description: Raw reads (fasta and quality in sff file) of 16S rRNA gene sequencing of sediments from 41 streams in North Carolina (Raleigh - Durham Area)
DOI: 10.6084/m9.figshare.6394631.v1
title: Stream Bacterial Community - Sediment 16S rRNA gene sequencing - Pyrosequencing 454 - Raw sequences

description: Raw reads (fasta and quality in sff file) of 16S rRNA gene sequencing of sediments from 41 streams in North Carolina (Raleigh - Durham Area)
DOI: 10.6084/m9.figshare.6394490
title: Data for 'Multiyear Observations of Gravity Wave Momentum Fluxes in the Midlatitude Mesosphere and Lower Thermosphere Region by Meteor Radar'

description: 1 Dataset of the daily meteor counts observed by meteor radars located at Beijing and Mengcheng.2 Dataset of the azimuthal distributions of meteor echos observed by meteor radars located at Beijing and Mengcheng.3 Calculated monthly mean zonal/meridional wind, GW momentum fluxes and GW variances over Beijing and Mengcheng.
DOI: 10.6084/m9.figshare.6394490.v1
title: Data for 'Multiyear Observations of Gravity Wave Momentum Fluxes in the Midlatitude Mesosphere and Lower Thermosphere Region by Meteor Radar'

description: 1 Dataset of the daily meteor counts observed by meteor radars located at Beijing and Mengcheng.2 Dataset of the azimuthal distributions of meteor echos observed by meteor radars located at Beijing and Mengcheng.3 Calculated monthly mean zonal/meridional wind, GW momentum fluxes and GW variances over Beijing and Mengcheng.
DOI: 10.6084/m9.figshare.6394487
title: Dataset for: A class of semiparametric tests of treatment effect robust to confounder measurement error

description: When assessing the presence of an exposure causal effect on a given outcome, measurement error of a confounder can inflate the type I error rate of a treatment effect in even the simplest of settings. In this paper, we develop a large class of semiparametric test statistics of an exposure causal effect, which are completely robust to additive unbiased measurement error of a subset of confounders. A unique and appealing feature of our proposed methodology is that it requires no external information such as validation data or replicates of error-prone confounders. We present a doubly-robust form of this test that requires the exposure mean model to be linear in the mismeasured confounders, and only one of two models involving error-free confounders to be correctly specified for the resulting test statistic to have correct type I error rate. We demonstrate validity within our class of test statistics through simulation studies. We apply the methods to a multi-U.S.-city, time-series data set to test for an effect of temperature on mortality while adjusting for atmospheric particulate matter with diameter of 2.5 micrometres or less (PM2.5), which is known to be measured with error.
DOI: 10.6084/m9.figshare.6394487.v1
title: Dataset for: A class of semiparametric tests of treatment effect robust to confounder measurement error

description: When assessing the presence of an exposure causal effect on a given outcome, measurement error of a confounder can inflate the type I error rate of a treatment effect in even the simplest of settings. In this paper, we develop a large class of semiparametric test statistics of an exposure causal effect, which are completely robust to additive unbiased measurement error of a subset of confounders. A unique and appealing feature of our proposed methodology is that it requires no external information such as validation data or replicates of error-prone confounders. We present a doubly-robust form of this test that requires the exposure mean model to be linear in the mismeasured confounders, and only one of two models involving error-free confounders to be correctly specified for the resulting test statistic to have correct type I error rate. We demonstrate validity within our class of test statistics through simulation studies. We apply the methods to a multi-U.S.-city, time-series data set to test for an effect of temperature on mortality while adjusting for atmospheric particulate matter with diameter of 2.5 micrometres or less (PM2.5), which is known to be measured with error.
DOI: 10.6084/m9.figshare.6394475
title: Dataset for: Quantifying The Regression to The Mean Effect in Poisson Processes

description: Regression to the mean (RTM) can occur whenever an extreme observation is selected from a population and a later observation is closer to the population mean. A consequence of this phenomenon is that natural variability can be mistaken as real change. Simple expressions are available to quantify RTM when the underlying distribution is bivariate normal. However, there are many real world situations which are better approximated as a Poisson process. Examples include the number of hard disk failures during a year, the number of cargo ships damaged by waves, daily homicide counts in California, and the number of deaths per quarter attributable to AIDS in Australia. In this paper, we derive expressions for quantifying RTM effects for the bivariate Poisson distribution for both the homogeneous and inhomogeneous cases. Statistical properties of our derivations have been evaluated through a simulation study. The asymptotic distributions of RTM estimators have been derived. The RTM effect for the number of people killed in road accidents in different regions of New South Wales (Australia) is estimated using maximum likelihood
DOI: 10.6084/m9.figshare.6394475.v1
title: Dataset for: Quantifying The Regression to The Mean Effect in Poisson Processes

description: Regression to the mean (RTM) can occur whenever an extreme observation is selected from a population and a later observation is closer to the population mean. A consequence of this phenomenon is that natural variability can be mistaken as real change. Simple expressions are available to quantify RTM when the underlying distribution is bivariate normal. However, there are many real world situations which are better approximated as a Poisson process. Examples include the number of hard disk failures during a year, the number of cargo ships damaged by waves, daily homicide counts in California, and the number of deaths per quarter attributable to AIDS in Australia. In this paper, we derive expressions for quantifying RTM effects for the bivariate Poisson distribution for both the homogeneous and inhomogeneous cases. Statistical properties of our derivations have been evaluated through a simulation study. The asymptotic distributions of RTM estimators have been derived. The RTM effect for the number of people killed in road accidents in different regions of New South Wales (Australia) is estimated using maximum likelihood
DOI: 10.6084/m9.figshare.6394433.v1
title: Review_reference_list.xlsx

description: The dataset contains a list of papers that implemented or talked about implementing deep learning solutions for studies in ecology
DOI: 10.6084/m9.figshare.6394385.v1
title: Are direct density cues, not resource competition, driving life history trajectories in a polyphenic salamander?

description: Data for "Are direct density cues, not resource competition, driving life history trajectories in a polyphenic salamander?"<br>Bohenek, J.R. & Resetarits, W.J. Evol Ecol (2018). https://doi.org/10.1007/s10682-018-9941-8
DOI: 10.6084/m9.figshare.6394334
title: Joseph spoiled son and manipulative women.docx

description: Although a number of Biblical stories may have emerged from Hebrew folk-tales, there is no reason to believe that all did. In a time of uncertainty, as polities developed, many may equally have come from the Transjordan, similar in many ways to Israel and Judah and interacting with both throughout the 9<sup>th</sup> century. As the later stories of Hebrew kings has a religious variant many must be treated carefully. From folk-tales emanating from the general area, myths turned into history and historical events altered to express religious truth, here we have the extensive Hebrew literature. This essay will show that Hebrew society, in its literature, imitated and replicated Middle-Eastern societies, that for example prophets were a Middle-Eastern political institution connected to Royal dynasties and, as with YHWH, their chosen representative god. At times, Hebrew history and literature appears influenced by Greek literature, suggesting late composition. It is folly to hold that the stories identified here were written during the period in which they are set but that nevertheless oral traditions cannot be disputed-although this paper points out the oral traditions behind each composition need not be Hebrew or of hill-country origin. This paper presents two stories, the first apparently a literary composition without any likely foundation in fact, purporting to come from a time in the 11<sup>th</sup> century, the other has a clearer connection to historical events but which too has been subject to the biased telling common in much early and modern history.
DOI: 10.6084/m9.figshare.6394280
title: figures

description: validation figures<br>
DOI: 10.6084/m9.figshare.6394280.v1
title: figures

description: validation figures<br>
DOI: 10.6084/m9.figshare.6394280.v2
title: figures

description: validation figures<br>
DOI: 10.6084/m9.figshare.6394280.v3
title: figures

description: validation figures<br>
DOI: 10.6084/m9.figshare.6394235
title: Analisis peranan sektor pertanian sebagai basis pertumbuhan ekonomi wilayah di Kabupaten Konawe Selatan, Sulawesi Tenggara, Indonesia

description: Penelitian bertujuan untuk menganalisis sektor pertanian yang menjadi basis pertumbuhan ekonomi wilayah di Kabupaten Konawe Selatan, sejauh mana peranan sektor pertanian terhadap PDRB Kabupaten Konawe Selatan dan wilayah Kecamatan yang menjadi basis sektor pertanian Kabupaten Konawe Selatan. Penelitian menggunakan data sekunder berupa data <i>time series</i> PDRB Kabupaten Konawe Selatan dan PDRB Propinsi Sulawesi Tenggara, serta nilai produksi komoditas menurut subsektor periode tahun 2008-2012. Data dianalisis dengan menggunakan pendekatan analisis <i>Locationt Qoutient </i>(LQ) untuk menentukan basis subsektor, analisis <i>shift share</i> (SS) untuk menentukan peranan subsektor dan analisis gabungan untuk menentukan prioritas subsektor. Pemetaan wilayah basis dilakukan untuk menentukan wilayah basis pengembangan subsektor dengan menggunakan SIG, <i>software</i> ARcVIEW ver 3.1. Hasil analisis LQ menunjukkan, sektor pertanian termasuk sektor basis dengan nilai LQ&gt;1. Nilai LQ masing-masing subsektor menunjukkan nilai LQ&gt;1 yakni subsektor tanaman bahan makanan, subsektor peternakan dan hasilnya, subsektor kehutanan dan subsektor perikanan. Sementara subsektor perkebunan tergolong sektor nonbasis dengan nilai LQ&lt;1. Hasil analisis <i>shift share</i> komponen pertumbuhan regional (PR) bernilai positif sebesar 26,85%. Pertumbuhan proporsional (PP) bernilai positif, dengan nilai tertinggi subsektor perkebunan dan terendah subsektor kehutanan. Sementara komponen pertumbuhan pangsa wilayah (PPW) subsektor perkebunan bernilai positif, subsektor lainnya bernilai negatif. Hasil analisis gabungan LQ dan <i>shift </i>share (SS) subsektor perkebunan tergolong sebagai subsektor dengan perkembangan progresif (maju) berdaya saing wilayah berada pada kuadran I, pertumbuhan proporsional (PP) dan pertumbuhan pangsa wilayah (PPW) bernilai positif, namun bukan merupakan sektor basis (nilai LQ&lt;1). Subsektor tanaman bahan makanan dan subsektor perikanan tergolong subsektor progresif namun belum memiliki daya saing wilayah berada di kuadran IV di atas garis diagonal, pertumbuhan proporsional (PP) bernilai positif, pertumbuhan pangsa wilayah (PPW) bernilai negatif, merupakan sektor basis (LQ&gt;1). Subsektor kehutanan dan subsektor peternakan dan hasilnya tergolong sebagai subsektor lambat (tertekan) dan tidak memiliki daya saing wilayah berada pada kuadran IV di bawah garis diagonal, nilai pertumbuhan proporsional (PP) bernilai positif dan pertumbuhan pangsa wilayah (PPW) bernilai negatif.
DOI: 10.6084/m9.figshare.6394235.v3
title: Analisis peranan sektor pertanian sebagai basis pertumbuhan ekonomi wilayah di Kabupaten Konawe Selatan, Sulawesi Tenggara, Indonesia

description: Penelitian bertujuan untuk menganalisis sektor pertanian yang menjadi basis pertumbuhan ekonomi wilayah di Kabupaten Konawe Selatan, sejauh mana peranan sektor pertanian terhadap PDRB Kabupaten Konawe Selatan dan wilayah Kecamatan yang menjadi basis sektor pertanian Kabupaten Konawe Selatan. Penelitian menggunakan data sekunder berupa data <i>time series</i> PDRB Kabupaten Konawe Selatan dan PDRB Propinsi Sulawesi Tenggara, serta nilai produksi komoditas menurut subsektor periode tahun 2008-2012. Data dianalisis dengan menggunakan pendekatan analisis <i>Locationt Qoutient </i>(LQ) untuk menentukan basis subsektor, analisis <i>shift share</i> (SS) untuk menentukan peranan subsektor dan analisis gabungan untuk menentukan prioritas subsektor. Pemetaan wilayah basis dilakukan untuk menentukan wilayah basis pengembangan subsektor dengan menggunakan SIG, <i>software</i> ARcVIEW ver 3.1. Hasil analisis LQ menunjukkan, sektor pertanian termasuk sektor basis dengan nilai LQ&gt;1. Nilai LQ masing-masing subsektor menunjukkan nilai LQ&gt;1 yakni subsektor tanaman bahan makanan, subsektor peternakan dan hasilnya, subsektor kehutanan dan subsektor perikanan. Sementara subsektor perkebunan tergolong sektor nonbasis dengan nilai LQ&lt;1. Hasil analisis <i>shift share</i> komponen pertumbuhan regional (PR) bernilai positif sebesar 26,85%. Pertumbuhan proporsional (PP) bernilai positif, dengan nilai tertinggi subsektor perkebunan dan terendah subsektor kehutanan. Sementara komponen pertumbuhan pangsa wilayah (PPW) subsektor perkebunan bernilai positif, subsektor lainnya bernilai negatif. Hasil analisis gabungan LQ dan <i>shift </i>share (SS) subsektor perkebunan tergolong sebagai subsektor dengan perkembangan progresif (maju) berdaya saing wilayah berada pada kuadran I, pertumbuhan proporsional (PP) dan pertumbuhan pangsa wilayah (PPW) bernilai positif, namun bukan merupakan sektor basis (nilai LQ&lt;1). Subsektor tanaman bahan makanan dan subsektor perikanan tergolong subsektor progresif namun belum memiliki daya saing wilayah berada di kuadran IV di atas garis diagonal, pertumbuhan proporsional (PP) bernilai positif, pertumbuhan pangsa wilayah (PPW) bernilai negatif, merupakan sektor basis (LQ&gt;1). Subsektor kehutanan dan subsektor peternakan dan hasilnya tergolong sebagai subsektor lambat (tertekan) dan tidak memiliki daya saing wilayah berada pada kuadran IV di bawah garis diagonal, nilai pertumbuhan proporsional (PP) bernilai positif dan pertumbuhan pangsa wilayah (PPW) bernilai negatif.
DOI: 10.6084/m9.figshare.6394226.v1
title: Sci-Tech 101: Global Climate Change Resources

description: Join us for a fun and informative session and discover excellent sources of free information across the science and technology disciplines. Mary Frances Lembo and James Manasco will team up to present 14 websites related to climate change in 60 minutes. This educational session will provide time for interaction with and sharing from the audience. Attendees will learn about freely available, high quality sources of climate change information. They will also be able to hear from colleagues about other quality sites related to climate change. Please note, speakers will not be discussing search strategies, assessing information, or discipline specifics.<br>This set of slides focuses on government-related websites/resources.<br>
DOI: 10.6084/m9.figshare.6394202
title: What are the principal environmental filters driving species composition and succession on mineralogically different spoil heaps?

description: The relationship between selected environmental variables and plant species composition was studied on two mineralogically different spoil heaps (Hg and Cu) in Central Slovakia with contrasting reclamation approaches. Data on plant species composition were collected by stratified random sampling in defined physiognomic vegetation types. A detrended correspondence analysis showed that most of the variability in species composition was related to the succession gradient from open communities with a low cover of vascular plants to forest vegetation, and to the moisture gradient. Variance partitioning by canonical correspondence analysis revealed that most of the variability in plant composition was related to the content of various heavy metals (27.8% at the Hg-spoil heap and 28.3% at the Cu-spoil heap), but a significant relationship was found only for Mn. Other significant factors comprised soil moisture, pH and P content for the Hg-spoil heap and soil temperature and Ca content for the Cu-spoil heap. Although heavy metal content explained most of the variability in species composition, the relationship was caused by the correlation of heavy metal content with other environmental variables rather than by a direct causal relationship.
DOI: 10.6084/m9.figshare.6394202.v1
title: What are the principal environmental filters driving species composition and succession on mineralogically different spoil heaps?

description: The relationship between selected environmental variables and plant species composition was studied on two mineralogically different spoil heaps (Hg and Cu) in Central Slovakia with contrasting reclamation approaches. Data on plant species composition were collected by stratified random sampling in defined physiognomic vegetation types. A detrended correspondence analysis showed that most of the variability in species composition was related to the succession gradient from open communities with a low cover of vascular plants to forest vegetation, and to the moisture gradient. Variance partitioning by canonical correspondence analysis revealed that most of the variability in plant composition was related to the content of various heavy metals (27.8% at the Hg-spoil heap and 28.3% at the Cu-spoil heap), but a significant relationship was found only for Mn. Other significant factors comprised soil moisture, pH and P content for the Hg-spoil heap and soil temperature and Ca content for the Cu-spoil heap. Although heavy metal content explained most of the variability in species composition, the relationship was caused by the correlation of heavy metal content with other environmental variables rather than by a direct causal relationship.
DOI: 10.6084/m9.figshare.6392561
title: Data S1 from Regulation between personality traits: individual social tendencies modulate whether boldness and leadership are correlated

description: Data from the experiment in .csv format. In the column names, S1 denotes data is from the first (day 1) single fish Y maze trial, S2 the second (day 2) single fish trial, P1 the first (day 1) paired fish test and P2 from the second (day 2) paired fish test. All times (“T”) are in seconds. SBL is the standard body length of each fish, in cm.
DOI: 10.6084/m9.figshare.6392561.v1
title: Data S1 from Regulation between personality traits: individual social tendencies modulate whether boldness and leadership are correlated

description: Data from the experiment in .csv format. In the column names, S1 denotes data is from the first (day 1) single fish Y maze trial, S2 the second (day 2) single fish trial, P1 the first (day 1) paired fish test and P2 from the second (day 2) paired fish test. All times (“T”) are in seconds. SBL is the standard body length of each fish, in cm.