cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.7641691
title: Data produced for "Water Scarcity Challenges across Urban Regions with Expanding Irrigation"

description: This archive includes the data and codes to produced results for the paper- <strong>Transition from Rain-fed to Irrigation-fed Agriculture in Rural Areas to Exacerbate Urban Water Scarcity</strong>. It contains 3 archive files: <strong>1. H08_inputs_org: </strong>All the input files required for the simulation of the global hydrological model, H08 (/H08/map/org). It has the following files (for both scenarios S1, and S2) - a) AQUASTAT- industrial and domestic water use b) C05- GDP information for the countries c) FAO2009_Slop- data on slope d) GMIA5_S1- global map for irrigated areas version 5 for scenario 1 e) GMIA5_S2- global map for irrigated areas version 5 for scenario 2 f) GRanD- Global Reservoir and Dam (GRanD) database g) GSWP2_Albedo- albedo data h) GSWP23_SoilType- soil type data i) IGRAC- groundwater use for domestic and industrial sector j) IIASA_SSP- socio economic pathways data k) K14- explicit aqueduct data l) M08- crop distribution data m) OneGeology- geology units offshore n) R08- cropland and pastureland data o) WFDEI- flow direction p) DS02- irrigation data <strong>2. Codes:</strong> Jupyter notebook consisting of the python codes for post-processing, and a folder named <em>files_req </em>with the required files for the notebook. <strong>3. Outputs: </strong>This includes 4 archives a) arcgis_outputs- post-processing model results' shapefiles and rasters; ArcMap documents of CAD difference; and other outputs b) CAD_S1_S2- Raster files of monthly CAD for scenarios S1 (named as S12) and S2; raster files of total water abstraction from renewable water sources; and raster files of total water demand. c) diff_cad_21- Raster files of difference in CAD (CAD_S2 - CAD_S1) for with and without considering environmental flow requirements. e) urban_results_excel- Excel files of CAD comparison in S1 and S2; excel file of monthly water demand and abstraction in S1 and S2.
DOI: 10.6073/pasta/6f53efdbf6f9bcb8ea71c5044949f271
title: Shark catches (longline), water temperatures, salinities, and dissolved oxygen levels, and stable isotope values in the Shark River Slough, Everglades National Park (FCE LTER), Florida, USA, May 2005 - ongoing

description: This dataset provides information on the catches of sharks in the Shark River Slough in relation to physical factors including dissolved oxygen, water temperature, salinity, and distance upstream. Analysis of data collected suggest that distance from the Gulf of Mexico and dissolved have the largest effects on shark catch rates, with most juvenile bull sharks being caught in Tarpon Bay. This dataset includes all sharks caught on longline gear.
DOI: 10.57967/hf/1064
title: farm_crop
DOI: 10.5281/zenodo.8303440
title: The application of unmanned aerial vehicle (UAV) surveys and GIS to the analysis and monitoring of recreational trail conditions - dataset

description: This dataset contains data used to test the protocol for high-resolution mapping and monitoring of recreational impacts in protected natural areas (PNAs) using unmanned aerial vehicle (UAV) surveys, Structure-from-Motion (SfM) data processing and geographic information systems (GIS) analysis to derive spatially coherent information about trail conditions (Tomczyk et al., 2023). Dataset includes the following folders: Cocora_raster_data (~3GB) and Vinicunca_raster_data (~32GB) - a very high-resolution (cm-scale) dataset derived from UAV-generated images. Data covers selected recreational trails in Colombia (Valle de Cocora) and Peru (Vinicunca). UAV-captured images were processed using the structure-from-motion approach in Agisoft Metashape software. Data are available as GeoTIFF files in the UTM projected coordinate system (UTM 18N for Colombia, UTM 19S for Peru). Individual files are named as follows [location]_[year]_[product]_[raster cell size].tif, where: [location] is the place of data collection (e.g., Cocora, Vinicucna) [year] is the year of data collection (e.g., 2023) [product] is the tape of files: DEM = digital elevation model; ortho = orthomosaic; hs = hillshade [raster cell size] is the dimension of individual raster cell in mm (e.g., 15mm) Cocora_vector_data. and Vinicunca_vector_data – mapping of trail tread and conditions in GIS environment (ArcPro). Data are available as shp files. Data are in the UTM projected coordinate system (UTM 18N for Colombia, UTM 19S for Peru). Structure-from-motio n processing was performed in Agisoft Metashape (https://www.agisoft.com/, Agisoft, 2023). Mapping was performed in ArcGIS Pro (https://www.esri.com/en-us/arcgis/about-arcgis/overview, Esri, 2022). Data can be used in any GIS software, including commercial (e.g. ArcGIS) or open source (e.g. QGIS). Tomczyk, A. M., Ewertowski, M. W., Creany, N., Monz, C. A., & Ancin-Murguzur, F. J. (2023). The application of unmanned aerial vehicle (UAV) surveys and GIS to the analysis and monitoring of recreational trail conditions. <em>International Journal of Applied Earth Observations and Geoinformation</em>, 103474. doi: https://doi.org/10.1016/j.jag.2023.103474
description: This study was supported by National Science Centre in Poland (2021/43/B/ST10/00950). Research in Orange County, California, was supported by a grant to the Recreation Ecology Lab at Utah State University by the Natural Communities Coalition, Irvine, California, USA.
DOI: 10.5281/zenodo.8303439
title: The application of unmanned aerial vehicle (UAV) surveys and GIS to the analysis and monitoring of recreational trail conditions - dataset

description: This dataset contains data used to test the protocol for high-resolution mapping and monitoring of recreational impacts in protected natural areas (PNAs) using unmanned aerial vehicle (UAV) surveys, Structure-from-Motion (SfM) data processing and geographic information systems (GIS) analysis to derive spatially coherent information about trail conditions (Tomczyk et al., 2023). Dataset includes the following folders: Cocora_raster_data (~3GB) and Vinicunca_raster_data (~32GB) - a very high-resolution (cm-scale) dataset derived from UAV-generated images. Data covers selected recreational trails in Colombia (Valle de Cocora) and Peru (Vinicunca). UAV-captured images were processed using the structure-from-motion approach in Agisoft Metashape software. Data are available as GeoTIFF files in the UTM projected coordinate system (UTM 18N for Colombia, UTM 19S for Peru). Individual files are named as follows [location]_[year]_[product]_[raster cell size].tif, where: [location] is the place of data collection (e.g., Cocora, Vinicucna) [year] is the year of data collection (e.g., 2023) [product] is the tape of files: DEM = digital elevation model; ortho = orthomosaic; hs = hillshade [raster cell size] is the dimension of individual raster cell in mm (e.g., 15mm) Cocora_vector_data. and Vinicunca_vector_data – mapping of trail tread and conditions in GIS environment (ArcPro). Data are available as shp files. Data are in the UTM projected coordinate system (UTM 18N for Colombia, UTM 19S for Peru). Structure-from-motio n processing was performed in Agisoft Metashape (https://www.agisoft.com/, Agisoft, 2023). Mapping was performed in ArcGIS Pro (https://www.esri.com/en-us/arcgis/about-arcgis/overview, Esri, 2022). Data can be used in any GIS software, including commercial (e.g. ArcGIS) or open source (e.g. QGIS). Tomczyk, A. M., Ewertowski, M. W., Creany, N., Monz, C. A., & Ancin-Murguzur, F. J. (2023). The application of unmanned aerial vehicle (UAV) surveys and GIS to the analysis and monitoring of recreational trail conditions. <em>International Journal of Applied Earth Observations and Geoinformation</em>, 103474. doi: https://doi.org/10.1016/j.jag.2023.103474
description: This study was supported by National Science Centre in Poland (2021/43/B/ST10/00950). Research in Orange County, California, was supported by a grant to the Recreation Ecology Lab at Utah State University by the Natural Communities Coalition, Irvine, California, USA.
DOI: 10.5281/zenodo.8302138
title: GPR data collected near the Chepeta Weather Station and the DUST-1 sampler, Uinta Mountains, Utah

description: Ground penetrating radar data collected on September 9, 2021 in the Uinta Mountains at the Chepeta Remote Automated Weather Station (RAWS) and the DUST-1 passive dust sampler. Data were collected with a GSSI SIR-4000 control unit and a 350HS antenna connected to an Emlid Reach RS2 GPS receiver. Data files have been distance normalized and field-applied range gains have been removed before being exported in .sgy format. Files were also exported in .kml format for viewing the transect locations in Google Earth. Two long transects (780 feet each) were collected. The "West" transect passed to the west of the Chepta RAWS; the "East" transect passed to the east. The transects started at different points along the northern lip of the summit upland and came together at a common point at their southern ends. Marks were made in the data file every 60 feet while surveying; these marks were used to distance normalize the results. The system collected 334 scans/second with 512 samples/scan while surveying. Two 30-foot perpendicular transects were also surveyed (north to south, and west to east) with their intersection adjacent to a soil pit excavated to a depth of 92 cm. The location of the soil pit was noted in each transect with a mark near 16 feet. Data were used to evaluate spatial variations in the thickness of regolith overlying the bedrock beneath this gently sloping summit flat.
description: Funding Agency Name: National Science Foundation Award Title: RUI: Collaborative Research: Network Cluster: Dust in the Critical Zone from the Great Basin to the Rocky Mountains Award Number: EAR-2012082 Funding Agency URL: https://www.nsf.gov/div/index.jsp?div=EAR
DOI: 10.5281/zenodo.8302139
title: GPR data collected near the Chepeta Weather Station and the DUST-1 sampler, Uinta Mountains, Utah

description: Ground penetrating radar data collected on September 9, 2021 in the Uinta Mountains at the Chepeta Remote Automated Weather Station (RAWS) and the DUST-1 passive dust sampler. Data were collected with a GSSI SIR-4000 control unit and a 350HS antenna connected to an Emlid Reach RS2 GPS receiver. Data files have been distance normalized and field-applied range gains have been removed before being exported in .sgy format. Files were also exported in .kml format for viewing the transect locations in Google Earth. Two long transects (780 feet each) were collected. The "West" transect passed to the west of the Chepta RAWS; the "East" transect passed to the east. The transects started at different points along the northern lip of the summit upland and came together at a common point at their southern ends. Marks were made in the data file every 60 feet while surveying; these marks were used to distance normalize the results. The system collected 334 scans/second with 512 samples/scan while surveying. Two 30-foot perpendicular transects were also surveyed (north to south, and west to east) with their intersection adjacent to a soil pit excavated to a depth of 92 cm. The location of the soil pit was noted in each transect with a mark near 16 feet. Data were used to evaluate spatial variations in the thickness of regolith overlying the bedrock beneath this gently sloping summit flat.
description: Funding Agency Name: National Science Foundation Award Title: RUI: Collaborative Research: Network Cluster: Dust in the Critical Zone from the Great Basin to the Rocky Mountains Award Number: EAR-2012082 Funding Agency URL: https://www.nsf.gov/div/index.jsp?div=EAR
DOI: 10.5517/ccdc.csd.cc2g3s8n
title: CCDC 2267751: Experimental Crystal Structure Determination

description: Related Article: Yanhui Wang, Gavin Chit Tsui|2023|Org.Lett.|25|6217|doi:10.1021/acs.orglett.3c02452
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: 10.5281/zenodo.8310215
title: Supplemental linux commands [Augustus commands and also TransDecoder commands]

description: Supplemental linux commands [Augustus commands and also TransDecoder commands]
DOI: 10.5281/zenodo.8310214
title: Supplemental linux commands [Augustus commands and also TransDecoder commands]

description: Supplemental linux commands [Augustus commands and also TransDecoder commands]
DOI: 10.5281/zenodo.8241405
title: Data from experiments on the Transport and Nurikabe domains.

description: Dataset used for my master's thesis at Linköping University. Contains the tractable and intractable versions of the Transport and Nurikabe domains that were created for said thesis.
DOI: 10.5281/zenodo.8241406
title: Data from experiments on the Transport and Nurikabe domains.

description: Dataset used for my master's thesis at Linköping University. Contains the tractable and intractable versions of the Transport and Nurikabe domains that were created for said thesis.
DOI: 10.5281/zenodo.8272803
title: Data from experiments on the Transport and Nurikabe domains.

description: Dataset used for my master's thesis at Linköping University. Contains the tractable and intractable versions of the Transport and Nurikabe domains that were created for said thesis.
DOI: 10.34740/kaggle/dsv/5176558
title: NFT initial subsequent sale data in boom & slump
DOI: 10.23641/asha.23232848
title: Comparing the PPVT and ROWPVT (Ingvalson et al., 2023)

description: <b>Purpose:</b> We sought to compare raw scores, standard scores, and age equivalences on two commonly used vocabulary tests, the Peabody Picture Vocabulary Test (PPVT) and the Receptive One-Word Picture Vocabulary Test (ROWPVT).<b>Method:</b> Sixty-two children, 31 with hearing loss (HL) and 31 with normal hearing (NH), were given both the PPVT and ROWPVT as part of an ongoing longitudinal study of emergent literacy development in preschoolers with and without HL. All children were between 3 and 4 years old at administration, and the two tests were administered within 3 weeks of each other. Both tests were given again 6 months later. Standard scores and age equivalencies were calculated for both tests using published guidelines.<b>Results:</b> There was no significant effect of test for any of our analyses. However, there was a main effect of time, with both standard scores and age equivalencies being significantly higher at the second test. Children with NH had significantly higher standard scores and age equivalencies than children with NH, but there was no interaction between hearing status and time, suggesting that the two groups were growing at the same rate.<b>Conclusions:</b> Clinicians can be comfortable administering both the PPVT and ROWPVT to estimate children’s vocabulary levels, but there may be practice effects when administering the tests twice within a calendar year. These data also indicate that children with HL continue to lag behind their peers with NH on vocabulary development.<b>Supplemental Material S1.</b> Number of references found for literature searches of the Peabody Picture Vocabulary Test (PPVT) and Receptive One-Word Picture Vocabulary Test (ROWPVT or ROW-PVT).Ingvalson, E. M., Perry, L. K., VanDam, M., & Grieco-Calub, T. M. (2023). Comparing scores on the Peabody Picture Vocabulary Test and Receptive One-Word Picture Vocabulary Test in preschoolers with and without hearing loss. <i>American Journal of Speech-Language Pathology, 32</i>(4), 1610–1619. https://doi.org/10.1044/2023_AJSLP-22-00352
DOI: 10.23641/asha.23518845
title: Rare vocabulary use by preschoolers (Kelley & Poholik, 2023)

description: <b>Purpose:</b> This study presents a preliminary examination of rare vocabulary use by preschool children using a recently developed tool called the Wordlist for Expressive Rare Vocabulary Evaluation (WERVE).<b>Method:</b> The WERVE was used to identify rare vocabulary words language samples of 74 preschool children (<i>M</i><sub>age</sub> = 56 months). We examined the relations among rare vocabulary use, performance on norm-referenced measures of single-word vocabulary, and language sample measures of language complexity and lexical diversity.<b>Results:</b> Rare vocabulary use was significantly, positively correlated with standard scores on norm-referenced vocabulary measures and with language complexity and lexical diversity in language samples. Children with higher vocabulary scores used significantly more rare vocabulary than children with lower vocabulary scores.<b>Conclusions:</b> The WERVE shows some promise for providing information about the rare vocabulary use of preschool children. Findings from this preliminary study indicate that further research on rare vocabulary use is warranted.<b>Supplemental Material S1.</b> Descriptives by study.<b>Supplemental Material S2.</b> Sample sentences with rare vocabulary words.Kelley, E. S., & Poholik, O. (2023). Big words for little kids: Rare vocabulary use by preschool children. <i>American Journal of Speech-Language Pathology, 32</i>(4), 1705–1713. https://doi.org/10.1044/2023_AJSLP-22-00349
DOI: 10.23641/asha.23518845.v1
title: Rare vocabulary use by preschoolers (Kelley & Poholik, 2023)

description: <b>Purpose:</b> This study presents a preliminary examination of rare vocabulary use by preschool children using a recently developed tool called the Wordlist for Expressive Rare Vocabulary Evaluation (WERVE).<b>Method:</b> The WERVE was used to identify rare vocabulary words language samples of 74 preschool children (<i>M</i><sub>age</sub> = 56 months). We examined the relations among rare vocabulary use, performance on norm-referenced measures of single-word vocabulary, and language sample measures of language complexity and lexical diversity.<b>Results:</b> Rare vocabulary use was significantly, positively correlated with standard scores on norm-referenced vocabulary measures and with language complexity and lexical diversity in language samples. Children with higher vocabulary scores used significantly more rare vocabulary than children with lower vocabulary scores.<b>Conclusions:</b> The WERVE shows some promise for providing information about the rare vocabulary use of preschool children. Findings from this preliminary study indicate that further research on rare vocabulary use is warranted.<b>Supplemental Material S1.</b> Descriptives by study.<b>Supplemental Material S2.</b> Sample sentences with rare vocabulary words.Kelley, E. S., & Poholik, O. (2023). Big words for little kids: Rare vocabulary use by preschool children. <i>American Journal of Speech-Language Pathology, 32</i>(4), 1705–1713. https://doi.org/10.1044/2023_AJSLP-22-00349
DOI: 10.23641/asha.21834432
title: Self-reported communication attitudes in CAS (Keller & Maas, 2023)

description: <b>Purpose: </b>Much of the research literature on childhood apraxia of speech (CAS) has focused on understanding, diagnosing, and treating the impairment, rather than examining its functional effect on children’s daily lives. This study focuses on the Personal Factors component of the World Health Organization International Classification of Functioning, Disability and Health–Children and Youth Version Framework. Specifically, the purpose was to examine the self-reported communication attitudes of children with CAS.<b>Method: </b>Two validated communication attitude questionnaires were administered to 12 children with CAS enrolled in an intensive speech-focused intervention (age range: 4–10 years old). Children’s scores were compared to the questionnaires’ typically developing norms. Descriptive analyses explored relationships between communication attitude and CAS severity, caregiver perceptions of communicative participation, frustration ratings during therapy, and change in communication attitude over a brief time.<b>Results:</b> Older (ages 6–10 years) but not younger (ages 4–5;11 [years;months]) children with CAS were more likely to have negative attitudes about their speech. No clear relationships were observed between communication attitudes and caregiver perceptions of communicative participation; small positive relationships were observed between communication attitude and frustration during therapy. For the younger children, there was also a relationship with CAS severity. For most children, no change in communication attitude was observed over a brief period, though one child appeared to develop more negative and one appeared to develop more positive attitudes.<b>Conclusions:</b> These initial findings suggest that older children with CAS may be at greater risk for negative communication attitudes than their peers without CAS. The findings also highlight the need to include more child self-report measures in research. Further implications for CAS assessment and intervention are discussed.<b>Supplemental Material S1. </b>Deidentified CAT and KiddyCAT data used in this study.Keller, S., & Maas, E. (2023). Self-reported communication attitudes of children with childhood apraxia of speech: An exploratory study. <i>American Journal of Speech-Language Pathology, 32</i>(4S), 1806–1824. https://doi.org/10.1044/2022_AJSLP-22-00163<b>Publisher Note:</b> This article is part of the Special Issue: Select Papers From the 2022 Conference on Motor Speech.
DOI: 10.23641/asha.21834432.v1
title: Self-reported communication attitudes in CAS (Keller & Maas, 2023)

description: <b>Purpose: </b>Much of the research literature on childhood apraxia of speech (CAS) has focused on understanding, diagnosing, and treating the impairment, rather than examining its functional effect on children’s daily lives. This study focuses on the Personal Factors component of the World Health Organization International Classification of Functioning, Disability and Health–Children and Youth Version Framework. Specifically, the purpose was to examine the self-reported communication attitudes of children with CAS.<b>Method: </b>Two validated communication attitude questionnaires were administered to 12 children with CAS enrolled in an intensive speech-focused intervention (age range: 4–10 years old). Children’s scores were compared to the questionnaires’ typically developing norms. Descriptive analyses explored relationships between communication attitude and CAS severity, caregiver perceptions of communicative participation, frustration ratings during therapy, and change in communication attitude over a brief time.<b>Results:</b> Older (ages 6–10 years) but not younger (ages 4–5;11 [years;months]) children with CAS were more likely to have negative attitudes about their speech. No clear relationships were observed between communication attitudes and caregiver perceptions of communicative participation; small positive relationships were observed between communication attitude and frustration during therapy. For the younger children, there was also a relationship with CAS severity. For most children, no change in communication attitude was observed over a brief period, though one child appeared to develop more negative and one appeared to develop more positive attitudes.<b>Conclusions:</b> These initial findings suggest that older children with CAS may be at greater risk for negative communication attitudes than their peers without CAS. The findings also highlight the need to include more child self-report measures in research. Further implications for CAS assessment and intervention are discussed.<b>Supplemental Material S1. </b>Deidentified CAT and KiddyCAT data used in this study.Keller, S., & Maas, E. (2023). Self-reported communication attitudes of children with childhood apraxia of speech: An exploratory study. <i>American Journal of Speech-Language Pathology, 32</i>(4S), 1806–1824. https://doi.org/10.1044/2022_AJSLP-22-00163<b>Publisher Note:</b> This article is part of the Special Issue: Select Papers From the 2022 Conference on Motor Speech.