cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.23664309
title: Continuous speech segmentation by L1 and L2 speakers of English: the role of syntactic and prosodic cues

description: We investigated how native and fluent users of English segment continuous speech and to what extent they use sound-related and structure-related cues. As suggested by the notion of multi-competence, L1 users are not seen as ideal models with perfect command of English, and L2 users not as lacking in competence. We wanted to see how language experience affects speech segmentation. We had participants listen to extracts of spontaneous spoken English and asked them to mark boundaries between speech segments. We found that in chunking authentic speech, both groups made the most use of prosody, with L1 users relying slightly more on it. However, the groups did not differ in segmentation strategies and performed alike in efficiency and agreement. Results show that in line with multi-competence, native speakers do not have an advantage over fluent speakers in higher-level speech processes, and that the outcome of natural speech comprehension does not significantly depend on the different language experiences at high levels of fluency. We suggest that research on speech segmentation should take natural continuous speech on board and investigate fluent users independently of their L1s to gain a more holistic view of processes and consequences of speech segmentation.
DOI: 10.6084/m9.figshare.23664309.v1
title: Continuous speech segmentation by L1 and L2 speakers of English: the role of syntactic and prosodic cues

description: We investigated how native and fluent users of English segment continuous speech and to what extent they use sound-related and structure-related cues. As suggested by the notion of multi-competence, L1 users are not seen as ideal models with perfect command of English, and L2 users not as lacking in competence. We wanted to see how language experience affects speech segmentation. We had participants listen to extracts of spontaneous spoken English and asked them to mark boundaries between speech segments. We found that in chunking authentic speech, both groups made the most use of prosody, with L1 users relying slightly more on it. However, the groups did not differ in segmentation strategies and performed alike in efficiency and agreement. Results show that in line with multi-competence, native speakers do not have an advantage over fluent speakers in higher-level speech processes, and that the outcome of natural speech comprehension does not significantly depend on the different language experiences at high levels of fluency. We suggest that research on speech segmentation should take natural continuous speech on board and investigate fluent users independently of their L1s to gain a more holistic view of processes and consequences of speech segmentation.
DOI: 10.6084/m9.figshare.23664317
title: Continuous surveillance of potentially zoonotic avian pathogens detects contemporaneous occurrence of highly pathogenic avian influenza viruses (HPAIV H5) and flaviviruses (USUV, WNV) in several wild and captive birds

description: Three avian viral pathogens circulate in Germany with particular importance for animal disease surveillance due to their zoonotic potential, their impact on wild bird populations and/or poultry farms: Highly pathogenic (HP) avian influenza virus (AIV) of subtype H5 (HPAIV H5), Usutu virus (USUV), and West Nile virus (WNV). Whereas HPAIV H5 has been mainly related to epizootic outbreaks in winter, the arthropod-borne viruses USUV and WNV have been detected more frequently during summer months corresponding to peak mosquito activity. Since 2021, tendencies of a potentially year-round, i.e. enzootic, status of HPAIV in Germany have raised concerns that <i>Orthomyxoviruses</i> (AIV) and <i>Flaviviruses</i> (USUV, WNV) may not only circulate in the same region, but also at the same time and in the same avian host range. In search of a host species group suitable for a combined surveillance approach for all mentioned pathogens, we retrospectively screened and summarized case reports, mainly provided by the respective German National Reference Laboratories (NRLs) from 2006 to 2021. Our dataset revealed an overlap of reported infections among nine avian genera. We identified raptors as a particularly affected host group, as the genera <i>Accipiter</i>, <i>Bubo</i>, <i>Buteo</i>, <i>Falco</i>, and <i>Strix</i> represented five of the nine genera, and highlighted their role in passive surveillance. This study may provide a basis for broader, pan-European studies that could deepen our understanding of reservoir and vector species, as HPAIV, USUV, and WNV are expected to further become established and/or spread in Europe in the future and thus improved surveillance measures are of high importance.
DOI: 10.6084/m9.figshare.23664317.v1
title: Continuous surveillance of potentially zoonotic avian pathogens detects contemporaneous occurrence of highly pathogenic avian influenza viruses (HPAIV H5) and flaviviruses (USUV, WNV) in several wild and captive birds

description: Three avian viral pathogens circulate in Germany with particular importance for animal disease surveillance due to their zoonotic potential, their impact on wild bird populations and/or poultry farms: Highly pathogenic (HP) avian influenza virus (AIV) of subtype H5 (HPAIV H5), Usutu virus (USUV), and West Nile virus (WNV). Whereas HPAIV H5 has been mainly related to epizootic outbreaks in winter, the arthropod-borne viruses USUV and WNV have been detected more frequently during summer months corresponding to peak mosquito activity. Since 2021, tendencies of a potentially year-round, i.e. enzootic, status of HPAIV in Germany have raised concerns that <i>Orthomyxoviruses</i> (AIV) and <i>Flaviviruses</i> (USUV, WNV) may not only circulate in the same region, but also at the same time and in the same avian host range. In search of a host species group suitable for a combined surveillance approach for all mentioned pathogens, we retrospectively screened and summarized case reports, mainly provided by the respective German National Reference Laboratories (NRLs) from 2006 to 2021. Our dataset revealed an overlap of reported infections among nine avian genera. We identified raptors as a particularly affected host group, as the genera <i>Accipiter</i>, <i>Bubo</i>, <i>Buteo</i>, <i>Falco</i>, and <i>Strix</i> represented five of the nine genera, and highlighted their role in passive surveillance. This study may provide a basis for broader, pan-European studies that could deepen our understanding of reservoir and vector species, as HPAIV, USUV, and WNV are expected to further become established and/or spread in Europe in the future and thus improved surveillance measures are of high importance.
DOI: 10.24432/c5t89h
title: p53 Mutants
DOI: 10.5517/ccdc.csd.cc2b6hxz
title: CCDC 2151211: Experimental Crystal Structure Determination

description: Related Article: Hai-Lun Xia, Kang Zhou, Jiandong Guo, Jian Zhang, Xiaoxi Huang, Dawei Luo, Xiao-Yuan Liu, Jing Li|2022|Chemical Science|13|9321|doi:10.1039/D2SC02683J
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5066/p9wznjl6
title: Data from the assessment of sediment-retention ponds near Delta, Colorado, 2019

description: In 2019, soil samples were collected at selected sediment-retention ponds in the Gunnison Gorge National Conservation Area, near Delta, Colorado. This dataset includes pond location, pond characteristics, soil-moisture data, soil-chemistry data, and geophysical data. Pond locations were surveyed using real-time kinematic Global Navigation Satellite Systems (RTK-GNSS) methods and incorporated as a single shapefile in Ponds.zip. Pond characteristics were assessed, and observations were made for assigned surficial-geologic unit, vegetation, check-dam condition, check-dam height, water holding capacity, and stream condition entering and exiting the pond. Pond-characteristic data are incorporated as a single comma-separated values (.csv) file (PondInventory.csv). Soil moisture and chemistry data characterize soil moisture, specific conductance, pH, total dissolved solids, and chloride at selected depths in the soil profile. Soil moisture and chemistry data are presented in a .csv file (SoilData.csv). Geophysical surveys were conducted using a Geophex GEM-2, a hand-held multi-frequency electromagnetic induction sensor. The geophysical surveys were conducted to evaluate soil conductivity differences in and around pond locations and are presented as the unprocessed data from the instrument as a .csv file in GEM-2 data.zip.
DOI: 10.5281/zenodo.8136817
title: Storage and Transit Time Data and Code

description: Author: Andrew J. Felton<br> Date: 7/11/2023 This R project contains the primary code and data used for data production, manipulation,<br> and analysis and figure production for the study entitled: "Global estimates of the storage and transit time of water through vegetation" Please note that 'turnover' and 'transit' are used interchangeably in this project. Data information: The data folder contains key data sets used for analysis. In particular: "data/turnover_from_python/annual/annual_turnover.nc" contains a global array<br> summarizing annual transit, storage, canopy transpiration, and number of<br> months of data. This data is also available is separate .csv files for each land<br> cover type. The same can be found for the minimum, monthly, and seasonal transit<br> time found in their respective folders. These data were produced using the python<br> code found in the "supporting_code" folder. The remaining files in the "data" and<br> "data/supporting_data"" folder primarily contain ground-based estimates of<br> storage and transit found in public databases or through a literature search. #Code information Python scripts can be found in the "supporting_code" folder. Each R script in this project has a particular function: 01_start.R: This script loads the R packages used in the analysis, sets the<br> directory, and imports the user-created functions for the project in the 02_functions.R script. This script can also download the annual and minimum <br> transit datasets, which are core to the analyses. 03_generate_data.R This script is not necessary to run and is primarily<br> for documentation. The main role of this code was to import and wrangle<br> the data needed to calculate ground-based estimates of aboveground water storage. 04_annual_turnover_storage_import.R: This script imports the annual turnover and<br> storage data for each landcover type. 05_minimum_turnover_storage_import.R: This script imports the minimum turnover and<br> storage data for each landcover type. Minimum is defined as the lowest monthly<br> estimate. 06_figures_tables.R: This is the main workhouse. This script generates the key <br> figures and summary statistics used in the study that the get saved in the <br> manuscript_figures folder. Maps were produced using Python code found in the<br> "supporting_code"" folder
DOI: 10.5066/p903m7xu
title: Marginal increment and age data from fin rays of endangered suckers

description: Data included in this data set are from suckers collected in Hagelstein Pond from 2014 through 2021. Data were collected on age, marginal increment, and marginal increment ratios from fin rays, and length of suckers captured during monthly sampling events. There are two levels of data. Fin ray data contains 409 records and the data file is 31 KB, repeat data contains 58 records and the data file is 5 KB. The data files can be linked by Vial_ID with Vial1, Vial2, or Vial3 which are codes unique to each fin ray. Data files are CSV files that are comma delimited.
DOI: 10.17632/3cg53w58zv.1
title: Time-Varying Exchange Rate Pass-Through into Terms of Trade

description: Online appendix and replication files for the publication titled Time-Varying Exchange Rate Pass-Through into Terms of Trade, Journal of International Money and Finance.
DOI: 10.6084/m9.figshare.23664372
title: Fork (unmaintained) of stacks_workflow to analyze Sutherland et al., 2020. Relative genomic impacts of translocation history, hatchery practices, and farm selection in Pacific oyster <em>Crassostrea gigas </em>throughout the Northern Hemisphere.

description: GitHub repository fork originally hosted at https://github.com/bensutherland/stacks_workflow . Compressed folder downloaded prior to deleting the outdated GitHub repository fork. Uploaded to FigShare to ensure the updated scripts in the fork remain accessible. <br> Associated manuscript: Sutherland BJG, Rycroft C, Ferchaud AL, Saunders R, Li L, Liu S, Chan AM, Otto SP, Suttle CA, Miller KM (2020) Relative genomic impacts of translocation history, hatchery practices, and farm selection in Pacific oyster <em>Crassostrea gigas</em> throughout the Northern Hemisphere. <em>Evolutionary Applications</em> <strong>13</strong>, 1380-1399. <br> Original source repository (maintained): https://github.com/enormandeau/stacks_workflow <br> Please contact if you have any questions. Changes from the original source repository (above) were minor and were to enable Stacks2 within the stacks_workflow repository. Since that time the master has been updated to use Stacks2, and so the fork is now outdated and needs to be removed.
DOI: 10.6084/m9.figshare.23664372.v1
title: Fork (unmaintained) of stacks_workflow to analyze of Sutherland et al., 2020. Relative genomic impacts of translocation history, hatchery practices, and farm selection in Pacific oyster <em>Crassostrea gigas </em>throughout the Northern Hemisphere.

description: GitHub repository fork originally hosted at https://github.com/bensutherland/stacks_workflow . Compressed folder downloaded prior to deleting the outdated GitHub repository fork. Uploaded to FigShare to ensure the updated scripts in the fork remain accessible. <br> Associated manuscript: Sutherland BJG, Rycroft C, Ferchaud AL, Saunders R, Li L, Liu S, Chan AM, Otto SP, Suttle CA, Miller KM (2020) Relative genomic impacts of translocation history, hatchery practices, and farm selection in Pacific oyster <em>Crassostrea gigas</em> throughout the Northern Hemisphere. <em>Evolutionary Applications</em> <strong>13</strong>, 1380-1399. <br> Original repository (maintained): https://github.com/enormandeau/stacks_workflow <br> Please contact if you have any questions.
DOI: 10.17632/sjvrbxrvh8.1
title: Sattriya-08 Double Handed Mudra’s Dataset

description: Sattriya_08_Mudra’s Dataset & Name Table With meaning and usage.
Contributors:
Chayanika Sarmah
Parismita Sarma
Description
There is a double handed digital image dataset of “Sattriya Dance” mostly practiced in Assam. Contributors have uploaded all the images under the main folder "Sattriya-08 Double Handed Mudra’s Dataset". Double handed mudra dataset consists of eight (08) double handed mudras of Sattriya dance (Classical dance from Assam). Inside the main folder other eight sub folders are created with the names of the eight mudras whose image samples are uploaded here. Each of these eight sub folders have three sub-sub folders with titles " Front_view”, “Left_view” and “Right_view”. The sub-sub folders depict front, left and right views of all the recorded mudras. All the samples are collected by visiting few prominent Sattriya Dance academy situated in Guwahati.  5 to 10 seconds duration videos were recorded for all the mudras at least from 50 dancers on a coloured background (afterwards background was removed). Video recording was performed using a DSLR Canon Camera (EOS 1200 D). Individual video was converted into image frames and thus were able to get around 2400.png image frames. Some still images are also captured using the same DSLR Canon Camera (EOS 1200 D). The names and meaning of each Mudra were confirmed after a discussion with a Sattriya dance experts from Guwahati, Assam, India.
	The usage of these data sets are
1.	Developing algorithm for automatic recognition of Mudras.
2.	Developing technique for tracking and analyzing the temporal evolution of Mudras in a dance performance.
DOI: 10.5517/ccdc.csd.cc2d0s6f
title: CCDC 2205284: Experimental Crystal Structure Determination

description: Related Article: Salimeh Abdinasab, Ali Darehkordi, Reza Ranjbar-Karimi, Alireza Abbasi|2023|Synth.Commun.|53|920|doi:10.1080/00397911.2023.2204193
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2fpw01
title: CCDC 2255343: Experimental Crystal Structure Determination

description: Related Article: Tianrui Qin, Xiaoyu Zhang, Duqingcuo Li, Xiuyan Dong, Na Qin, Yajing Shang, Hiroshi Sakiyamad, Mohd Afzal, Abdullah Alarifi|2023|J.Mol.Struct.|1291|136074|doi:10.1016/j.molstruc.2023.136074
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2fpw12
title: CCDC 2255344: Experimental Crystal Structure Determination

description: Related Article: Tianrui Qin, Xiaoyu Zhang, Duqingcuo Li, Xiuyan Dong, Na Qin, Yajing Shang, Hiroshi Sakiyamad, Mohd Afzal, Abdullah Alarifi|2023|J.Mol.Struct.|1291|136074|doi:10.1016/j.molstruc.2023.136074
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2f7s8r
title: CCDC 2241804: Experimental Crystal Structure Determination

description: Related Article: Rumpa Saha, Aparajita Mukherjee, Samaresh Bhattacharya|2023|New J.Chem.|47|12709|doi:10.1039/D3NJ01030A
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2frd2p
title: CCDC 2256802: Experimental Crystal Structure Determination

description: Related Article: Hui Hu, Zhen-Wei Zhang, Da-Shuai Zhang, Xue Zhou, Hui Ji, Yong-Zheng Zhang, Yuchen Deng, Longlong Geng, Xiuling Zhang, Chao Lv, Rongmin Wei, Jin-Hua Wang|2023|CrystEngComm|25|3896|doi:10.1039/D3CE00551H
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2f7s9s
title: CCDC 2241805: Experimental Crystal Structure Determination

description: Related Article: Rumpa Saha, Aparajita Mukherjee, Samaresh Bhattacharya|2023|New J.Chem.|47|12709|doi:10.1039/D3NJ01030A
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2f7sbt
title: CCDC 2241806: Experimental Crystal Structure Determination

description: Related Article: Rumpa Saha, Aparajita Mukherjee, Samaresh Bhattacharya|2023|New J.Chem.|47|12709|doi:10.1039/D3NJ01030A
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2gjv3z
title: CCDC 2280301: Experimental Crystal Structure Determination

description: Related Article: Arnold L. Rheingold|2023|CSD Communication|||
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.6084/m9.figshare.23664210
title: Dataset, wet and dry climate regimes impact particulate organic matter quality in a low-inflow subtropical estuary

description: Data describing particulate organic matter (POM) quality in the Mission-Aransas Estuary in Texas from 2012-2019. Water column particulates were sampled bimonthly and analyzed for total hydrolyzable amino acids (THAAs), chloropigments (chlorophyll a, pheophytin, and pheophorbide), particulate organic carbon, particulate nitrogen, and stable isotopic ratios of C13 and N15. Site abbreviations are Copano Bay West (CW), Copano Bay East (CE), Aransas Bay (AB), and Ship Channel (SC), which are the same sites used by the Mission-Aransas National Estuarine Research Reserve system-wide monitoring program. Amino acids analyzed are aspartic acid (ASP), glutamic acid (GLU), histidine (HIS), serine (SER), arginine (ARG), glycine (GLY), threonine (THR), β‐alanine (BALA), alanine (ALA), tyrosine (TYR), γ‐aminobutyric acid (GABA), methionine (MET), valine (VAL), phenylalanine (PHE), isoleucine (ILE), and leucine (LEU).
DOI: 10.6084/m9.figshare.23664210.v1
title: Dataset, wet and dry climate regimes impact particulate organic matter quality in a low-inflow subtropical estuary

description: Data describing particulate organic matter (POM) quality in the Mission-Aransas Estuary in Texas from 2012-2019. Water column particulates were sampled bimonthly and analyzed for total hydrolyzable amino acids (THAAs), chloropigments (chlorophyll a, pheophytin, and pheophorbide), particulate organic carbon, particulate nitrogen, and stable isotopic ratios of C13 and N15. Site abbreviations are Copano Bay West (CW), Copano Bay East (CE), Aransas Bay (AB), and Ship Channel (SC), which are the same sites used by the Mission-Aransas National Estuarine Research Reserve system-wide monitoring program. Amino acids analyzed are aspartic acid (ASP), glutamic acid (GLU), histidine (HIS), serine (SER), arginine (ARG), glycine (GLY), threonine (THR), β‐alanine (BALA), alanine (ALA), tyrosine (TYR), γ‐aminobutyric acid (GABA), methionine (MET), valine (VAL), phenylalanine (PHE), isoleucine (ILE), and leucine (LEU).