cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.17241566.v2
title: Chrysoritis: Part I. COI distance matrix

description: Matrix of COI pairwise distances (uncorrected) between all samples of <i>Chrysoritis</i> included in the study. Note that some place names associated with the sample labels have since been updated. A second sheet shows mean pairwise distance between select pairs of closely related species.<br>
DOI: 10.6084/m9.figshare.17241566.v1
title: Chrysoritis COI distance matrix

description: Matrix of COI pairwise distances (uncorrected) between all samples of <i>Chrysoritis</i> included in the study. Note that some place names associated with the sample labels have since been updated. A second sheet shows mean pairwise distance between select pairs of closely related species.<br>
DOI: 10.6084/m9.figshare.21932136.v1
title: Mishra_source_data_Fig1.xlsx

description: Dataset for comparison of clean and polluted days
DOI: 10.5281/zenodo.7555860
title: parauchenoglanis_ngamensis_zanfona_1.fasta.gz

description: .
DOI: 10.5281/zenodo.7555859
title: parauchenoglanis_ngamensis_zanfona_1.fasta.gz

description: .
DOI: 10.6073/pasta/eb22b6339e1c0819e5d55a22db6e1cf3
title: GIS05 GIS Coverages Defining Konza Prairie Burn History (1977-present)

description: This dataset contains a comprehensive record of burn histories for the Konza Prairie Biological Station (KPBS) dating from 1972. Burn history data contains date burned, area burned and type of treatment (prescribed burns, complete and partial burns, and wildfires). These data are available as zipped (.zip) shapefiles (.shp).
DOI: 10.6084/m9.figshare.19097024
title: Systematic Review of Progesterone Receptor Gene Polymorphisms and Breast Cancer Risk

description: List of <em>PGR</em> variants and corresponding minor allele frequencies, genotype frequencies, and odds ratios.
DOI: 10.6084/m9.figshare.19097024.v1
title: Systematic Review of Progesterone Receptor Gene Polymorphisms and Breast Cancer Risk

description: List of <em>PGR</em> variants and corresponding minor allele frequencies, genotype frequencies, and odds ratios.
DOI: 10.6084/m9.figshare.21932136.v2
title: Mishra_source_data_Fig1.xlsx

description: Dataset for comparison of clean and polluted days
DOI: 10.5281/zenodo.7555820
title: MEDLINE

description: MEDLINE (MED) a subset of the MedLine dataset, with 861,454 documents classified into 7 distinct classes related to Medicine. This dataset was obtained from [1]. In that work the authors considered the first level of the taxonomy so that each document article is classified under only one category, avoiding dealing with multilabel cases. [1] L. Rocha, F. Mourao, A. Pereira, M. A. Gon¸calves, and W. Meira, Jr. Exploiting temporal contexts in text classification. In Proc. CIKM, pages 243–252, 2008. The files:<br> texts.txt: Document set (text). One per line.<br> score.txt: Document class whose index is associated with texts.txt<br> split_&lt;k&gt;.pkl: pandas DataFrame with k-cross validation partition. The .zip contains all aforementioned files + the tfidf representation in the CSR matrix format.
DOI: 10.5281/zenodo.7555819
title: MEDLINE

description: MEDLINE (MED) a subset of the MedLine dataset, with 861,454 documents classified into 7 distinct classes related to Medicine. This dataset was obtained from [1]. In that work the authors considered the first level of the taxonomy so that each document article is classified under only one category, avoiding dealing with multilabel cases. [1] L. Rocha, F. Mourao, A. Pereira, M. A. Gon¸calves, and W. Meira, Jr. Exploiting temporal contexts in text classification. In Proc. CIKM, pages 243–252, 2008. The files:<br> texts.txt: Document set (text). One per line.<br> score.txt: Document class whose index is associated with texts.txt<br> split_&lt;k&gt;.pkl: pandas DataFrame with k-cross validation partition. The .zip contains all aforementioned files + the tfidf representation in the CSR matrix format.
DOI: 10.6084/m9.figshare.21932136.v3
title: Mishra_source_data_Fig1.xlsx

description: Dataset for
DOI: 10.5281/zenodo.7555892
title: clarias_buthupogon_spades_01.fasta.gz

description: .
DOI: 10.5281/zenodo.7555891
title: clarias_buthupogon_spades_01.fasta.gz

description: .
DOI: 10.6084/m9.figshare.21932136.v4
title: Mishra_source_data_Fig1.xlsx

description: Dataset
DOI: 10.5281/zenodo.7555300
title: Comparison of tetracycline and temperature sensitive GAL80 transgenes with UAS-lacZ

description: ß-galactosidase specific activity was measured during development and aging (Experimental workflow) as described in STAR Protocols 3, 101843, 2022. Two different muscle-specific GAL4 drivers, Mef2-Gal4 (BDSC:27390) and DJ694 (BDSC: 8176), were each crossed with a second chromosome insertion of UAS-lacZ (Bg2) (BDSC: 1776), Bg2 recombined with third chromosome insertions of TetOFF-GAL80 (3.3+1077, PeerJ 5:e4167), and Bg2 recombined with third chromosome insertions of GAL80ts (BDSC:7017). Flies were raised at 20˚C and 29℃. Two independent sets of parents were used for each cross (biological replicates 1 and 2). After 2-3 days, parents were flipped into a new bottles (technical replicates 1 and 2 reported as replicate 3 and 4 in the dataset). CPRG and Bradford assays were performed on whole animal for the third instar larvae (L3), early pupae (EP) and late pupae (LP) stages, and on dissected thoraces for adult stages. Five extracts (1 individual in each) were measured per experimental replicate. Raw microplate readings are available upon request.
description: A small subset of this dataset (29˚C L3, EP and adults) has been previously used in the publication of the protocol to measure ß-galactosidase in Drosophila extracts (STAR Protocols 3, 101843, 2022)(https://data.mendeley.com/datasets/k2m2m3jgmn).
description: {"references": ["Barwell T, DeVeale B, Poirier L, Zheng J, Seroude F, Seroude L. 2017. Regulating the UAS/GAL4 system in adult Drosophila with Tet-off GAL80 transgenes. PeerJ 5:e4167 https://doi.org/10.7717/peerj.4167", "Barwell T and Seroude L. 2022. Protocol to measure \u00df-galactosidase in Drosophila extracts using a CPRG assay. STAR Protocols 3:101843 https://doi.org/10.1016/ j.xpro.2022.101843"]}
DOI: 10.5281/zenodo.7555299
title: Comparison of tetracycline and temperature sensitive GAL80 transgenes with UAS-lacZ

description: ß-galactosidase specific activity was measured during development and aging (Experimental workflow) as described in STAR Protocols 3, 101843, 2022. Two different muscle-specific GAL4 drivers, Mef2-Gal4 (BDSC:27390) and DJ694 (BDSC: 8176), were each crossed with a second chromosome insertion of UAS-lacZ (Bg2) (BDSC: 1776), Bg2 recombined with third chromosome insertions of TetOFF-GAL80 (3.3+1077, PeerJ 5:e4167), and Bg2 recombined with third chromosome insertions of GAL80ts (BDSC:7017). Flies were raised at 20˚C and 29℃. Two independent sets of parents were used for each cross (biological replicates 1 and 2). After 2-3 days, parents were flipped into a new bottles (technical replicates 1 and 2 reported as replicate 3 and 4 in the dataset). CPRG and Bradford assays were performed on whole animal for the third instar larvae (L3), early pupae (EP) and late pupae (LP) stages, and on dissected thoraces for adult stages. Five extracts (1 individual in each) were measured per experimental replicate. Raw microplate readings are available upon request.
description: A small subset of this dataset (29˚C L3, EP and adults) has been previously used in the publication of the protocol to measure ß-galactosidase in Drosophila extracts (STAR Protocols 3, 101843, 2022)(https://data.mendeley.com/datasets/k2m2m3jgmn).
description: {"references": ["Barwell T, DeVeale B, Poirier L, Zheng J, Seroude F, Seroude L. 2017. Regulating the UAS/GAL4 system in adult Drosophila with Tet-off GAL80 transgenes. PeerJ 5:e4167 https://doi.org/10.7717/peerj.4167", "Barwell T and Seroude L. 2022. Protocol to measure \u00df-galactosidase in Drosophila extracts using a CPRG assay. STAR Protocols 3:101843 https://doi.org/10.1016/ j.xpro.2022.101843"]}
DOI: 10.6073/pasta/24030f1190e426e3f4ab3e5a02b160e4
title: GIS10 GIS Coverage Defining Roads in and around Konza Prairie (1977-present)

description: This dataset defines the roads in and around the Konza Prairie Biological Station (KPBS). The road data shows locations of Konza maintained and county/state/federal access roads as well as defining gravel or paved. These data are available to download as zipped shapefiles (.zip), compressed Google Earth KML layers (.kmz).
DOI: 10.5281/zenodo.7555839
title: A Model Instability Issue in the NCEP Global Forecast System Version 16 and Potential Solutions

description: This dataset includes the GFSv16 model source code and the scripts and data to plot the figures for the manuscript " A Model Instability Issue in the NCEP Global Forecast System Version 16 and Potential Solutions" submitted to GMD
DOI: 10.5281/zenodo.7555838
title: A Model Instability Issue in the NCEP Global Forecast System Version 16 and Potential Solutions

description: This dataset includes the GFSv16 model source code and the scripts and data to plot the figures for the manuscript " A Model Instability Issue in the NCEP Global Forecast System Version 16 and Potential Solutions" submitted to GMD
DOI: 10.5281/zenodo.7542780
title: Chemical Networks and Model Output and for "Evidence of Photochemistry in an Exoplanet Atmosphere"

description: The volume mixing ratio output of the key sulphur species computed by photochemical models for producing Fig. 1 Synthetic spectra in Fig. 2 The photochemical networks used in each model.
DOI: 10.5281/zenodo.7542781
title: Chemical Networks and Model Output and for "Evidence of Photochemistry in an Exoplanet Atmosphere"

description: The volume mixing ratio output of the key sulphur species computed by photochemical models for producing Fig. 1 Synthetic spectra in Fig. 2 The photochemical networks used in each model.
DOI: 10.6084/m9.figshare.21932136.v5
title: Mishra_source_data_Fig1.xlsx

description: Dataset
DOI: 10.6084/m9.figshare.21932136.v6
title: Mishra_source_data_Fig1.xlsx

description: Dataset
DOI: 10.5066/f7nv9gdq
title: Recent historical and projected (years 2006-99) areas (km2) of managed, flooded habitats used by waterbirds overwintering in Central Valley, California basins for 17 climate, urbanization, and water management scenarios

description: Matchett and Fleskes (2018) evaluated availability of wetland and agricultural habitats used by waterbirds overwintering in the Central Valley of California under 17 scenarios of projected climate, urbanization, and water supply management (for more information about scenarios see scenario description and Table 1 in Matchett and Fleskes [2018]). Central Valley waterbird habitats investigated in this research included managed flooded wetlands and croplands and dry cropland habitats. Flooded cropland habitats are defined as winter-flooded rice, winter-flooded corn, and other winter-flooded cropland (in Tulare basin). Flooded wetlands are defined as summer-irrigated seasonal wetland, seasonal wetland that is not summer irrigated, and semi-permanent wetland (combines semipermanent and permanent wetland types). Dry cropland habitats include unplowed dry corn and unplowed dry rice fields. Two datasets documented herein accompany Matchett and Fleskes (2018), and for each of the 17 scenarios, these datasets summarize available area (km2) of each habitat during AugustApril (of the following year). The first of these datasets, Table A1 (also referenced as Table A1 in Matchett and Fleskes [2018]), corresponds with areas of available habitat in Figures 24 of Matchett and Fleskes (2018). Table A1 summarizes available area (km2) of each flooded habitat by planning basin and scenario when available habitat area is typically highest during the wintering period. The second dataset, Table A2 (also Table A2 in Matchett and Fleskes [2018]), corresponds with areas of available habitat in Figure S1 of Matchett and Fleskes (2018), and summarizes areas of each flooded and dry waterbird habitat by planning basin, scenario, and month during the wintering period. These data support the following publication: Matchett EL, Fleskes JP. 2018. Waterbird habitat in Californias Central Valley basins under climate, urbanization, and water management scenarios. Journal of Fish and Wildlife Management. Online early. doi:10.3996/122016-JFWM-095
DOI: 10.6073/pasta/29ec008b854f409dfb8448acf330dec1
title: GIS11 A GIS Coverage Defining Nature Trails on Konza Prairie (1982-present)

description: This dataset defines the nature trails found at Konza Prairie Biological Station (KPBS). The trails data shows locations of the different Konza maintained walking trails including leg distances and loop names. These data are available to download as zipped shapefiles (.zip), compressed Google Earth KML layers (.kmz).
DOI: 10.5066/f7pg1qxt
title: Prey fish returned to Forsters tern colonies in South San Francisco Bay during 2005-2015

description: Prey fish were collected at 17 Forsters tern breeding colonies during colony visits from 2005-2015. Prey fish were identified to the lowest taxonomic category. We present relative abundances by colony and year for each of the 10 major species groups. Unidentified fish species or rarely observed species were combined into an Other category. We calculated an arithmetic mean, standard deviation (sd), 25th quantile, and 75th quantile for dry standard length (SL; mm) and dry mass (g) for each fish species at each colony. These data support the following publication: Peterson SH, Ackerman JT, Eagles-Smith CA, Herzog MP, Hartman CA (2018) Prey fish returned to Forsters tern colonies suggest spatial and temporal differences in fish composition and availability. PLoS ONE 13(3): e0193430. https://doi.org/10.1371/journal.pone.0193430
DOI: 10.6084/m9.figshare.21901842.v3
title: Supplimentary Information.docx

description: Data from : A Global Meta-analysis of Cover Crop Response on Soil Carbon Storage Within a Corn Production System
DOI: 10.5281/zenodo.7555150
title: Audio features for DSL-S 2023 shared task

description: These files are features (i-vectors, x-vectors, MFCC features) extracted from the subset of Mozilla Common Voice corpus version 12.0 used in the VarDial 2023 shared task on Discriminating Between Similar Languages - Speech (DSL-S 2023). This data set contains only the features for the training and development section (and the Common Voice meta data) for the nine languages included in the shared task (see shared task website for further information).
DOI: 10.5281/zenodo.7555151
title: Audio features for DSL-S 2023 shared task

description: These files are features (i-vectors, x-vectors, MFCC features) extracted from the subset of Mozilla Common Voice corpus version 12.0 used in the VarDial 2023 shared task on Discriminating Between Similar Languages - Speech (DSL-S 2023). This data set contains only the features for the training and development section (and the Common Voice meta data) for the nine languages included in the shared task (see shared task website for further information).
DOI: 10.5281/zenodo.7555906
title: Audio features for DSL-S 2023 shared task

description: These files are features (i-vectors, x-vectors, MFCC features) extracted from the subset of Mozilla Common Voice corpus version 12.0 used in the VarDial 2023 shared task on Discriminating Between Similar Languages - Speech (DSL-S 2023). This data set contains only the features for the training and development section (and the Common Voice meta data) for the nine languages included in the shared task (see shared task website for further information).
DOI: 10.5281/zenodo.7555921
title: Audio features for DSL-S 2023 shared task

description: These files are features (i-vectors, x-vectors, MFCC features) extracted from the subset of Mozilla Common Voice corpus version 12.0 used in the VarDial 2023 shared task on Discriminating Between Similar Languages - Speech (DSL-S 2023). This data set contains only the features for the training and development section (and the Common Voice meta data) for the nine languages included in the shared task (see shared task website for further information).
DOI: 10.6073/pasta/d42013336bab3fb1536ae541ab1b13f2
title: GIS13 GIS Coverages Defining Konza Wildfire and Supplementary Burn History (1977-present)

description: This dataset contains a comprehensive record of supplemental burns, wildfires, wildfire cleanup burns for the Konza Prairie Biological Station (KPBS) dating from 1972. Burn history data contains date burned, area burned and type of treatment (wildfires, wildfire cleanup, and supplemental burns). Burn histories for planned, prescribed burns are available in dataset GIS05. These data are available to download as zipped shapefiles (.zip), and compressed Google Earth KML layers (.kmz).
DOI: 10.5066/f7rr1wqk
title: Subalpine Meadow Plant Communities in Yosemite and Sequoia and Kings Canyon National Parks, 2011-2012

description: This publication presents data collected within meadows from samples used to assess meadow plant community responses to recreational pack stock as part of a USGS Natural Resources Preservation Project. High elevation meadows are a vital ecological component of mountain systems throughout western North America. They provide critical habitat for wildlife, supply key ecosystem services, and are favored destinations for people visiting the mountains. The biophysical characteristics of meadows are highly variable, especially related to hydrologic regimes and associated plant community types. In the semi-arid landscape of the Sierra, water availability operates at multiple scales strongly influencing meadow plant community structure. Among meadows, variability in plant communities may be due to larger-scale influences on water availability such as elevation, regional climate, or basin hydrology, whereas within-meadow variability is largely an outcome of heterogeneity in local soil moisture regimes. Complicating processes at each scale is the high inter-annual variability in moisture conditions that occur across the Sierra Nevada. Inter-annual variability in meadow moisture can have a strong influence on meadow vegetation that may outweigh local disturbance impacts. Additionally, wet versus dry meadows at the two ends of the productivity spectrum can differ greatly in hydrologic regime and plant community structure, and differences likely outweigh the more localized and potentially lesser effects of pack stock. In addition, different meadow types can display varied resilience to vegetation removal, such that some display compensatory growth and may increase in cover. These considerations suggest that if pack stock do significantly affect meadow plant communities, detecting these effects will be difficult unless the underlying variability among meadow types is controlled for. We adopted a multivariate matching technique utilizing remotely sensed hydro-climatic and geospatial data to pair stock use meadows with similar non-stock (reference) meadows to control for the natural variability inherent to meadow ecosystems. These data support the following publication: Lee SR, Berlow EL, Ostoja SM, Brooks ML, Gnin A, Matchett JR, et al. (2017) A multi-scale evaluation of pack stock effects on subalpine meadow plant communities in the Sierra Nevada. PLoS ONE 12(6): e0178536. https://doi.org/10.1371/journal.pone.0178536
DOI: 10.5066/f7t72fmp
title: Carpinteria Salt Marsh Habitat Polygons

description: We identified five common habitat types in Carpinteria Salt Marsh: channels, pans (flats), marsh, salt flat and upland. We then drew polygons around each habitat type identified from a registered and orthorectified aerial photograph and created a GIS shapefile. Polygons were ground-truthed in the field. From these habitat polygons, one can use GIS applications to estimate the area of each habitat type in this estuary.
DOI: 10.5281/zenodo.7555932
title: clarias_pachynema_spades_01.fasta.gz

description: .
DOI: 10.5281/zenodo.7555931
title: clarias_pachynema_spades_01.fasta.gz

description: .
DOI: 10.5281/zenodo.7555934
title: Dataset for ImmuneAI challenge

description: The analysis results for ImmuneAI perturbation prediction challenge
DOI: 10.5281/zenodo.7555933
title: Dataset for ImmuneAI challenge

description: The analysis results for ImmuneAI perturbation prediction challenge
DOI: 10.6073/pasta/567162caf3f85f8db2e8d54fe9a8b0fc
title: GIS19 A GIS Coverage Defining Permanent Structures on Konza Prairie (1977-present)

description: This dataset defines the permanent buildings located on the Konza Prairie Biological Station (KBPS). The data include building names and addresses. These data are available as zipped (.zip) shapefiles (.shp).
DOI: 10.5281/zenodo.7555898
title: Yelp 2013

description: Yelp2013: It was obtained from the Yelp Data Challenge of 2013, containing about 700K reviews on different kinds of businesses, including restaurants, shopping, home services, etc. <br> The files:<br> texts.txt: Document set (text). One per line.<br> score.txt: Document class whose index is associated with texts.txt<br> split_&lt;k&gt;.pkl: pandas DataFrame with k-cross validation partition. The .zip contains all aforementioned files + the tfidf representation in the CSR matrix format.
DOI: 10.5281/zenodo.7555897
title: Yelp 2013

description: Yelp2013: It was obtained from the Yelp Data Challenge of 2013, containing about 700K reviews on different kinds of businesses, including restaurants, shopping, home services, etc. <br> The files:<br> texts.txt: Document set (text). One per line.<br> score.txt: Document class whose index is associated with texts.txt<br> split_&lt;k&gt;.pkl: pandas DataFrame with k-cross validation partition. The .zip contains all aforementioned files + the tfidf representation in the CSR matrix format.
DOI: 10.6084/m9.figshare.3761562.v2464
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: 10.6073/pasta/cf734ae0fb6e013415a990a1f15aa6d3
title: GIS20 GIS Coverages Defining Konza Elevations

description: These data depict the elevation features of Konza Prairie. Record type 1 is a 2 meter resolution digital elevation model (DEM) of Konza Prairie, generated from 2006 LiDAR DEM data collected to standard USGS specifications (GIS200). Record type 3 is a 2010 10 meter (1/3 arc second) resolution National Elevation Dataset (NED) DEM of Konza Prairie (GIS202). Record type 4 is a 10 meter resolution NED DEM of Konza Prairie with a modified 3 kilometer buffer (GIS203). Record type 5 is a USGS topographic map of Konza Prairie (GIS204). These data are available to download as zipped shapefiles (.zip), compressed Google Earth KML layers (.kmz), and associated EML metadata (.xml).
DOI: 10.5066/f7z31xmz
title: Microsatellite genotype scores for a contemporary, range-wide sample of Santa Ana sucker in southern California

description: These data consist of microsatellite genotype scores for all samples of Santa Ana sucker (Catostomus santaanae) used in the study. Scores represent the allele calls for each microsatellite locus (i.e. DNA fragment length containing the microsatellite repeats), with each locus containing two scores representing the two allele copies detected. Included are five tables: Full dataset (includes genotypes from all samples), Santa Clara River samples only (includes genotypes only from samples collected in the Santa Clara River), Convert File format key (explains the data file format), Population identifiers (translates the numerical population identifiers to actual collecting sites), CASA sampling points (one coordinate given for each general collection site). Whole specimens are accessioned at the Los Angeles County Museum of Natural History (catalog numbers 58475-58481). GenBank accession numbers for the DNA sequences are: MF918422 - MF918481. These data support the following publication: Richmond, J.Q., Backlin, A.R., Galst&amp;amp;#8208;Cavalcante, C., O'Brien, J.W. and Fisher, R.N., Loss of dendritic connectivity in southern California's urban riverscape facilitates decline of an endemic freshwater fish. Molecular Ecology.