cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.25386971
title: Supplementary Dataset S3 Zip file (in text) from Parasite escape mechanisms drive morphological diversification in avian lice

description: Organisms that have repeatedly evolved similar morphologies due to the same selective pressures provide excellent cases in which to examine specific morphological changes and their relevance to the ecology and evolution of taxa. Hosts of permanent parasites act as an independent evolutionary experiment, as parasites on these hosts are thought to be undergoing similar selective pressures. Parasitic feather lice have repeatedly diversified into convergent ecomorphs in different microhabitats on their avian hosts. We quantified specific morphological characters to determine (i) which traits are associated with each ecomorph, (ii) the quantitative differences between these ecomorphs and (iii) if there is evidence of displacement among co-occurring lice as might be expected under louse-louse competition on the host. We used nano-computed tomography scan data of 89 specimens, belonging to four repeatedly evolved ecomorphs to examine their mandibular muscle volume, limb length and three-dimensional head shape data. Here, we find evidence that lice repeatedly evolve similar morphologies as a mechanism to escape host defenses, but also diverge into different ecomorphs related to the way they escape these defenses. Lice that co-occur with other genera on a host exhibit greater morphological divergence, indicating a potential role of competition in evolutionary divergence.
DOI: 10.6084/m9.figshare.25386971.v1
title: Supplementary Dataset S3 Zip file (in text) from Parasite escape mechanisms drive morphological diversification in avian lice

description: Organisms that have repeatedly evolved similar morphologies due to the same selective pressures provide excellent cases in which to examine specific morphological changes and their relevance to the ecology and evolution of taxa. Hosts of permanent parasites act as an independent evolutionary experiment, as parasites on these hosts are thought to be undergoing similar selective pressures. Parasitic feather lice have repeatedly diversified into convergent ecomorphs in different microhabitats on their avian hosts. We quantified specific morphological characters to determine (i) which traits are associated with each ecomorph, (ii) the quantitative differences between these ecomorphs and (iii) if there is evidence of displacement among co-occurring lice as might be expected under louse-louse competition on the host. We used nano-computed tomography scan data of 89 specimens, belonging to four repeatedly evolved ecomorphs to examine their mandibular muscle volume, limb length and three-dimensional head shape data. Here, we find evidence that lice repeatedly evolve similar morphologies as a mechanism to escape host defenses, but also diverge into different ecomorphs related to the way they escape these defenses. Lice that co-occur with other genera on a host exhibit greater morphological divergence, indicating a potential role of competition in evolutionary divergence.
DOI: 10.5281/zenodo.10652304
title: Compressed raw videos for Directed droplet motion along thin fibers

description: Compressed video of experiments to determine droplet velocities. The videos are at the same scale as the the videos in the supplemental material of the paper "Directed droplet motion along thin fibers". Specifically these videos follow the panels in SI Movie 1. Droplet positions, droplet spans and fiber angles are extracted from these videos.
DOI: 10.5281/zenodo.10652305
title: Compressed raw videos for Directed droplet motion along thin fibers

description: Compressed video of experiments to determine droplet velocities. The videos are at the same scale as the the videos in the supplemental material of the paper "Directed droplet motion along thin fibers". Specifically these videos follow the panels in SI Movie 1. Droplet positions, droplet spans and fiber angles are extracted from these videos.
DOI: 10.34740/kaggle/dsv/7819057
title: Public Opinion Russia Ukraine War (Updated Daily)
DOI: 10.5281/zenodo.10806477
title: 24-hour HYSPLIT-STILT back-trajectories initialized at Storm Peak Laboratory, Colorado from April 1, 2022 to May 1, 2022

description: This dataset was compiled to accompany the manuscript Lee et al., titled "Elevated Tropospheric Iodine over the Central Continental United States: Is Iodine a Major Oxidant of Atmospheric Mercury?", submitted to AGU Geophysical Research Letters.

24-hour HYSPLIT-STILT back trajectories were initialized at Storm Peak Laboratory, Colorado (40.455 degrees North, 106.744 degrees West) every three hours from April 1, 2022 to May 1, 2022 at initial altitudes of 5, 2000, 4000, 6000, 8000, and 10000 meters above ground level. In the model, Storm Peak Laboratory is 2890 meters above sea level (3209.848 meters above sea level in reality). One thousand back trajectories were initialized at each time-altitude pair, then averaged in three dimensions (latitude, longitude, altitude) to generate a single back trajectory for each time-altitude pair.

Each file is named using the following convention: "STILT_StormPeakLaboratory_yyyymmdd_HHMMutc.txt", where yyyy is the four-digit year, mm is the two-digit month, dd is the two-digit day, HH is the two-digit hour, and MM is the two-digit minute. The date and time in the filename denote the back-trajectory initialization time (UTC).
DOI: 10.5066/p1fcjdtx
title: Data for the report Properties of Basin-Fill Deposits, a 1971–2000 Water Budget, and Surface-Water-Groundwater Interactions in the Upper Humboldt River Basin, Northeastern Nevada

description: This USGS data release represents the data from the following 2013 publication: Plume, R.W., and Smith, J.L., 2013, Properties of basin-fill deposits, a 1971–2000 water budget, and surface-water-groundwater interactions in the upper Humboldt River basin, northeastern Nevada: U.S. Geological Survey Scientific Investigations Report 2013-5077, https://doi.org/10.3133/sir20135077.
DOI: 10.6073/pasta/44a3e0ccb654a6ffe18cd2ad8850f861
title: SBC LTER: pH time series: Water-sample pH and CO2 system chemistry, ongoing since 2011

description: Data are a time-series of pH and carbonate chemistry in
 manually-collected sea water samples from sixteen near-shore
 locations and 20 locations along the Santa Barbara Channel,
 California, USA, and intended to benchmark data from moored pH
 instruments. Data collection began in June 2011 and is ongoing.
 Time-series for pH sensors deployed in the field (e.g., SeaFET) are
 available elsewhere.
 
 
 Discrete seawater samples were collected by hand or using a Niskin
 bottle. In the laboratory, samples were analyzed for pH (total
 scale) and total alkalinity. Two parameters were used to calculate
 the full suite of carbonate chemistry parameters using the CO2calc
 algorithms. Program outputs are included for laboratory conditions
 as input, and adjusted for situ temperature. See Methods for more
 information, e.g., Lunden, et al.
 
 
 Data were collected by a consortium of research groups with the
 intent to leverage their collective assets and expertise. These
 groups (and sponsors) include Santa Barbara Coastal LTER (NSF),
 OMEGAS Project (NSF), Passow Lab (Calif. State Water Board), Hofmann
 Lab (NSF, CINMS, US NPS).
DOI: 10.3886/e198927
title: From Deficit to Difference: Understanding the Relationship Between K-12 Teacher Training and Disability Discussion

description: One
major responsibility of K-12 teachers in United States public schools is to
meet the needs of disabled students. While many pre-service and in-service
teacher training programs present educators with information related to service delivery as outlined in a student’s Individualized
Education Program or 504 plan, they rarely address how to talk about disability with
all students. This qualitative study examines 50
in-service teachers’ experiences related to disability training and explores
the implications of this training on teachers’ disability discussion practices.
Findings
reveal that teacher training is primarily focused on compliance and “fixing”
disability; training and prior experiences affect how teachers define
disability; and training affects the framework that teachers use when
discussing disability with their students. Based on the findings of this study, we
offer recommendations to help programs reimagine training and view disability
as a minoritized identity. Results of this study address a significant gap in
preparing teachers for disability discussion.
DOI: 10.3886/e198927v1
title: From Deficit to Difference: Understanding the Relationship Between K-12 Teacher Training and Disability Discussion

description: One
major responsibility of K-12 teachers in United States public schools is to
meet the needs of disabled students. While many pre-service and in-service
teacher training programs present educators with information related to service delivery as outlined in a student’s Individualized
Education Program or 504 plan, they rarely address how to talk about disability with
all students. This qualitative study examines 50
in-service teachers’ experiences related to disability training and explores
the implications of this training on teachers’ disability discussion practices.
Findings
reveal that teacher training is primarily focused on compliance and “fixing”
disability; training and prior experiences affect how teachers define
disability; and training affects the framework that teachers use when
discussing disability with their students. Based on the findings of this study, we
offer recommendations to help programs reimagine training and view disability
as a minoritized identity. Results of this study address a significant gap in
preparing teachers for disability discussion.
DOI: 10.22003/xfel.eu-data-007136-00
title: UltraBat commissioning
DOI: 10.18739/a2zk55p0n
title: Renland Ice Cap Project (ReCAP) total air content data, Eastern Greenland, 2015

description: Total air content (TAC) of the REnland ice CAP project (RECAP) core, drilled in summer 2015, is measured as a part of investigating the elevation history of the Greenland Ice Sheet (GIS). TAC is a proxy for the elevation at which the ice was originally formed as the TAC in ice cores is predominantly influenced by surface air pressure and conditions like temperature and local summer insolation.
 Measurements of the RECAP ice core were made at PICE (Physics of Ice, Climate and Earth, University of Copenhagen) and PSU (Penn State University). While the system at PICE is dedicated to total air content measurements following the barometric method and giving absolute calibrated volumes (Lipenkov et al., 1995), the measurements at PSU are a by-product of measurements for d15N(delta-15-Nitrogen) and CH4(Methane) contents.
 The study was designed to answer the pertinent question if the Renland ice cap always had the same elevation. Vinther et al (2009) estimated the elevation changes induced in the GIS after the onset of the Holocene from the differences in the δ18O(delta-18-Oxygen) signals of Greenland Icecore Project(GRIP), North Greenland Ice Core Project(NGRIP), Camp Century and DYE-3. They found that though Greenland experienced fairly uniform climatic conditions during the Holocene, the response of the GIS has been erratic at different locations. The study uses d18O(delta-18-Oxygen) of H2O(dihydrogen monoxide) data from the Renland ice cap as an anchor point arguing that the ice cap has not experienced significant ice flow or elevation changes due to its isolation from the GIS owing to the surrounding topography.
DOI: 10.6084/m9.figshare.25377724
title: experiment data (Japanese reading ability and dynamic visual information processing)

description: Raw data and MATLAB codes for experiments and analyses.
DOI: 10.57902/d77p4f
title: High Resolution LiDAR data covering road networks in Nome, Alaska - Site8

description: Data are available for download at: https://arcticdata.io/data/10.57902/D77P4F/
 Remote sensing makes it possible to gather data rapidly, accurately, and non-destructively, allowing for access to remote areas in near real-time. Road and surrounding infrastructure data was collected using LiDAR sensor in remote areas outside of Nome, Alaska, as part of continuing research on permafrost thaw-related subsidence. The survey was conducted in the autumn of 2022, during the period when the remnants of Typhoon Merbok hit Nome. Some of the data shows damage caused by Typhoon Merbok before initial repairs were carried out. The high-quality data provides a data point of relevance to research in cold regions, permafrost studies, and infrastructure detection. It also lends its use as reference information to object classification of remotely sensed imagery in this region.
DOI: 10.6084/m9.figshare.25387000
title: Scopus Base Research: Embeddedness and Female Entrepreneurship

description: Research carried out in Scopus databases shows a research gap regarding the construct of embeddedness and female entrepreneurship. There were no works found on the topic that addressed the concept of embeddedness, as Granovetter suggests. Two searches were carried out in Scopus on March 19, 2021, considering only articles from the area of administration and business that associate mbeddedness with female entrepreneurship, between the years 2014 and 2021.
DOI: 10.6084/m9.figshare.25387000.v1
title: Scopus Base Research: Embeddedness and Female Entrepreneurship

description: Research carried out in Scopus databases shows a research gap regarding the construct of embeddedness and female entrepreneurship. There were no works found on the topic that addressed the concept of embeddedness, as Granovetter suggests. Two searches were carried out in Scopus on March 19, 2021, considering only articles from the area of administration and business that associate mbeddedness with female entrepreneurship, between the years 2014 and 2021.
DOI: 10.6084/m9.figshare.3761562.v2879
title: Online Labour Index: Measuring the Online Gig Economy for Policy and Research

description: Data repository for the data underlying the Online Labour Index. See http://ilabour.oii.ox.ac.uk online-labour-index/ for details.
DOI: 10.57902/d73w2h
title: High Resolution LiDAR data covering road networks in Nome, Alaska - SiteV_1

description: Data are available for download at: https://arcticdata.io/data/10.57902/D73W2H/
 Remote sensing makes it possible to gather data rapidly, accurately, and non-destructively, allowing for access to remote areas in near real-time. Road and surrounding infrastructure data was collected using LiDAR sensor in remote areas outside of Nome, Alaska, as part of continuing research on permafrost thaw-related subsidence. The survey was conducted in the autumn of 2022, during the period when the remnants of Typhoon Merbok hit Nome. Some of the data shows damage caused by Typhoon Merbok before initial repairs were carried out. The high-quality data provides a data point of relevance to research in cold regions, permafrost studies, and infrastructure detection. It also lends its use as reference information to object classification of remotely sensed imagery in this region.
DOI: 10.57902/d7cc7q
title: High Resolution LiDAR data covering road networks in Nome, Alaska - Site7

description: Data are available for download at: https://arcticdata.io/data/10.57902/D7CC7Q/
 Remote sensing makes it possible to gather data rapidly, accurately, and non-destructively, allowing for access to remote areas in near real-time. Road and surrounding infrastructure data was collected using LiDAR sensor in remote areas outside of Nome, Alaska, as part of continuing research on permafrost thaw-related subsidence. The survey was conducted in the autumn of 2022, during the period when the remnants of Typhoon Merbok hit Nome. Some of the data shows damage caused by Typhoon Merbok before initial repairs were carried out. The high-quality data provides a data point of relevance to research in cold regions, permafrost studies, and infrastructure detection. It also lends its use as reference information to object classification of remotely sensed imagery in this region.
DOI: 10.57902/d7rp43
title: High Resolution LiDAR data covering road networks in Nome, Alaska - Site4

description: Data are available for download at: https://arcticdata.io/data/10.57902/D7RP43/
 Remote sensing makes it possible to gather data rapidly, accurately, and non-destructively, allowing for access to remote areas in near real-time. Road and surrounding infrastructure data was collected using LiDAR sensor in remote areas outside of Nome, Alaska, as part of continuing research on permafrost thaw-related subsidence. The survey was conducted in the autumn of 2022, during the period when the remnants of Typhoon Merbok hit Nome. Some of the data shows damage caused by Typhoon Merbok before initial repairs were carried out. The high-quality data provides a data point of relevance to research in cold regions, permafrost studies, and infrastructure detection. It also lends its use as reference information to object classification of remotely sensed imagery in this region.
DOI: 10.57902/d7h59n
title: High Resolution LiDAR data covering road networks in Nome, Alaska - Site6

description: Data are available for download at: https://arcticdata.io/data/10.57902/D7H59N/
 Remote sensing makes it possible to gather data rapidly, accurately, and non-destructively, allowing for access to remote areas in near real-time. Road and surrounding infrastructure data was collected using LiDAR sensor in remote areas outside of Nome, Alaska, as part of continuing research on permafrost thaw-related subsidence. The survey was conducted in the autumn of 2022, during the period when the remnants of Typhoon Merbok hit Nome. Some of the data shows damage caused by Typhoon Merbok before initial repairs were carried out. The high-quality data provides a data point of relevance to research in cold regions, permafrost studies, and infrastructure detection. It also lends its use as reference information to object classification of remotely sensed imagery in this region.
DOI: 10.57902/d71599
title: High Resolution LiDAR data covering road networks in Nome, Alaska - Site2

description: Data are available for download at: https://arcticdata.io/data/10.57902/D71599/
 Remote sensing makes it possible to gather data rapidly, accurately, and non-destructively, allowing for access to remote areas in near real-time. Road and surrounding infrastructure data was collected using LiDAR sensor in remote areas outside of Nome, Alaska, as part of continuing research on permafrost thaw-related subsidence. The survey was conducted in the autumn of 2022, during the period when the remnants of Typhoon Merbok hit Nome. Some of the data shows damage caused by Typhoon Merbok before initial repairs were carried out. The high-quality data provides a data point of relevance to research in cold regions, permafrost studies, and infrastructure detection. It also lends its use as reference information to object classification of remotely sensed imagery in this region.
DOI: 10.57902/d7wc7c
title: High Resolution LiDAR data covering road networks in Nome, Alaska - Site3

description: Data are available for download at: https://arcticdata.io/data/10.57902/D7WC7C/
 Remote sensing makes it possible to gather data rapidly, accurately, and non-destructively, allowing for access to remote areas in near real-time. Road and surrounding infrastructure data was collected using LiDAR sensor in remote areas outside of Nome, Alaska, as part of continuing research on permafrost thaw-related subsidence. The survey was conducted in the autumn of 2022, during the period when the remnants of Typhoon Merbok hit Nome. Some of the data shows damage caused by Typhoon Merbok before initial repairs were carried out. The high-quality data provides a data point of relevance to research in cold regions, permafrost studies, and infrastructure detection. It also lends its use as reference information to object classification of remotely sensed imagery in this region.
DOI: 10.57902/d70590
title: High Resolution LiDAR data covering road networks in Nome, Alaska - SiteV_2

description: Data are available for download at: https://arcticdata.io/data/10.57902/D70590/
 Remote sensing makes it possible to gather data rapidly, accurately, and non-destructively, allowing for access to remote areas in near real-time. Road and surrounding infrastructure data was collected using LiDAR sensor in remote areas outside of Nome, Alaska, as part of continuing research on permafrost thaw-related subsidence. The survey was conducted in the autumn of 2022, during the period when the remnants of Typhoon Merbok hit Nome. Some of the data shows damage caused by Typhoon Merbok before initial repairs were carried out. The high-quality data provides a data point of relevance to research in cold regions, permafrost studies, and infrastructure detection. It also lends its use as reference information to object classification of remotely sensed imagery in this region.
DOI: 10.57902/d74w2t
title: High Resolution LiDAR data covering road networks in Nome, Alaska - Site1

description: Data are available for download at: https://arcticdata.io/data/10.57902/D74W2T/
 Remote sensing makes it possible to gather data rapidly, accurately, and non-destructively, allowing for access to remote areas in near real-time. Road and surrounding infrastructure data was collected using LiDAR sensor in remote areas outside of Nome, Alaska, as part of continuing research on permafrost thaw-related subsidence. The survey was conducted in the autumn of 2022, during the period when the remnants of Typhoon Merbok hit Nome. Some of the data shows damage caused by Typhoon Merbok before initial repairs were carried out. The high-quality data provides a data point of relevance to research in cold regions, permafrost studies, and infrastructure detection. It also lends its use as reference information to object classification of remotely sensed imagery in this region.
DOI: 10.57902/d7mw25
title: High Resolution LiDAR data covering road networks in Nome, Alaska - Site5

description: Data are available for download at: https://arcticdata.io/data/10.57902/D7MW25/
 Remote sensing makes it possible to gather data rapidly, accurately, and non-destructively, allowing for access to remote areas in near real-time. Road and surrounding infrastructure data was collected using LiDAR sensor in remote areas outside of Nome, Alaska, as part of continuing research on permafrost thaw-related subsidence. The survey was conducted in the autumn of 2022, during the period when the remnants of Typhoon Merbok hit Nome. Some of the data shows damage caused by Typhoon Merbok before initial repairs were carried out. The high-quality data provides a data point of relevance to research in cold regions, permafrost studies, and infrastructure detection. It also lends its use as reference information to object classification of remotely sensed imagery in this region.
DOI: 10.15468/fcqma5
title: Ornithofauna of Irpin River valley basin according to the records made in 2019-2023

description: The dataset contains data on the records of avian species obtained during ornithological research during route-point observation methods in various areas of the valley of the Irpin river basin.
The dataset contains data on the findings of 136 species of birds registered in the study area.
DOI: 10.5517/ccdc.csd.cc2ghwsn
title: CCDC 2279392: Experimental Crystal Structure Determination

description: Related Article: Yusuke Murata, Kenshiro Hada, Trapti Aggarwal, Jorge Escorihuela, Norio Shibata|2024|Angew.Chem.,Int.Ed.|63|e202318086|doi:10.1002/anie.202318086
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.