cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.18406281
title: Table 2 in The cascudos of the genus Hypostomus Lacépède (Ostariophysi: Loricariidae) from the rio Iguaçu basin

description: Table 2. Morphometric data and counts of Hypostomus myersi and H. nigropunctatus n. sp. from the rio Iguaçu basin, Brazil. SD = standard deviation.
H. myersiH. nigropunctatusn = 20Holotypen = 13RangeMeanSDRangeMeanSDStandard length108.4-214.1 146.333.36184.4171.4-232.9200.222.44Percents of SLPre-dorsal distance35.6-43.039.71.8337.935.4-38.636.81.08Head length28.8-35.232.31.7731.128.4-32.230.01.13Cleithral width28.5-33.831.51.3128.425.1-29.526.91.14Head depth16.3-20.418.21.0418.715.9-20.217.11.22Interdorsal length12.4-16.714.51.2321.020.5-23.021.90.86Caudal-peduncle length29.7-35.332.21.2332.532.0-36.234.21.35Caudal-peduncle depth9.9-11.310.50.419.08.4-9.08.80.21Dorsal-spine length24.3-34.428.62.7227.926.9-31.029.21.26Thoracic length22.1-25.724.11.0225.321.5-25.323.51.04Percents of head lengthCleithral width93.6-103.2 97.63.1091.385.9-92.289.61.80Head depth53.2-60.856.52.2460.153.6-62.756.92.54Snout length59.0-66.162.82.1462.556.2-62.660.61.71Orbital diameter14.6-21.718.22.2812.210.9-12.511.70.45Interorbital width30.7-36.534.01.4635.732.0-36.434.01.39Mandibular width21.2-24.523.01.0618.317.5-18.918.20.44Other percentsSnout length/orbital diameter23.0-36.029.14.3519.518.5-20.319.30.56Interorbital width/orbital diameter42.6-68.353.88.2434.133.0-36.834.51.29Interorbital width/mandibular width61.9-75.267.83.6251.248.3-57.753.72.63Pre-dorsal length/first dorsal-fin length65.1-84.371.95.3673.873.8-86.679.53.86Pre-dorsal length/first pectoral-fin length71.3-90.181.15.2669.669.6-84.777.34.05Pre-dorsal length/lower caudal-fin length72.3-86.477.63.4882.782.6-94.889.34.26Caudal-peduncle depth/adipose-fin length84.5-107.0 94.25.4177.175.9-97.984.06.53Caudal-peduncle length/caudal-peduncle depth29.3-37.432.72.2427.723.8-27.725.61.13Cleithral width/mandibular width21.8-25.723.61.1420.019.0-21.320.30.62Dorsal-fin base length/interdorsal length46.7-66.353.45.7682.582.5-103.993.06.53Lower lip length/lower lip width20.8-29.725.52.6427.026.4-33.129.52.10CountsRangeModeSDHolotypeRangeModeSDMedian plates series24-27260.672827-30280.80Pre-dorsal plates330.0333_Plates bordering supraoccipital1-11_333_Dorsal plates below dorsal-fin base1-310.6737-880.55Plates between dorsal and adipose fin4-650.5587-880.38Plates between adipose and caudal fin4-540.3155-650.44Plates between end of anal-fin base and caudal fin12-14130.591313-15140.49Premaxillary teeth65-89826.153632-38332.42Dentary teeth64-90767.433629-43363.45
description: Published as part of Garavello, Julio César, Britski, Heraldo Antônio & Zawadzki, Claudio Henrique, 2012, The cascudos of the genus Hypostomus Lacépède (Ostariophysi: Loricariidae) from the rio Iguaçu basin, pp. 280 in Neotropical Ichthyology 10 (2) on page 280, DOI: 10.1590/S1679-62252012000200005, http://zenodo.org/record/10661068
DOI: 10.5281/zenodo.18406283
title: Table 2 in The cascudos of the genus Hypostomus Lacépède (Ostariophysi: Loricariidae) from the rio Iguaçu basin

description: Table 2. Morphometric data and counts of Hypostomus myersi and H. nigropunctatus n. sp. from the rio Iguaçu basin, Brazil. SD = standard deviation.
H. myersiH. nigropunctatusn = 20Holotypen = 13RangeMeanSDRangeMeanSDStandard length108.4-214.1 146.333.36184.4171.4-232.9200.222.44Percents of SLPre-dorsal distance35.6-43.039.71.8337.935.4-38.636.81.08Head length28.8-35.232.31.7731.128.4-32.230.01.13Cleithral width28.5-33.831.51.3128.425.1-29.526.91.14Head depth16.3-20.418.21.0418.715.9-20.217.11.22Interdorsal length12.4-16.714.51.2321.020.5-23.021.90.86Caudal-peduncle length29.7-35.332.21.2332.532.0-36.234.21.35Caudal-peduncle depth9.9-11.310.50.419.08.4-9.08.80.21Dorsal-spine length24.3-34.428.62.7227.926.9-31.029.21.26Thoracic length22.1-25.724.11.0225.321.5-25.323.51.04Percents of head lengthCleithral width93.6-103.2 97.63.1091.385.9-92.289.61.80Head depth53.2-60.856.52.2460.153.6-62.756.92.54Snout length59.0-66.162.82.1462.556.2-62.660.61.71Orbital diameter14.6-21.718.22.2812.210.9-12.511.70.45Interorbital width30.7-36.534.01.4635.732.0-36.434.01.39Mandibular width21.2-24.523.01.0618.317.5-18.918.20.44Other percentsSnout length/orbital diameter23.0-36.029.14.3519.518.5-20.319.30.56Interorbital width/orbital diameter42.6-68.353.88.2434.133.0-36.834.51.29Interorbital width/mandibular width61.9-75.267.83.6251.248.3-57.753.72.63Pre-dorsal length/first dorsal-fin length65.1-84.371.95.3673.873.8-86.679.53.86Pre-dorsal length/first pectoral-fin length71.3-90.181.15.2669.669.6-84.777.34.05Pre-dorsal length/lower caudal-fin length72.3-86.477.63.4882.782.6-94.889.34.26Caudal-peduncle depth/adipose-fin length84.5-107.0 94.25.4177.175.9-97.984.06.53Caudal-peduncle length/caudal-peduncle depth29.3-37.432.72.2427.723.8-27.725.61.13Cleithral width/mandibular width21.8-25.723.61.1420.019.0-21.320.30.62Dorsal-fin base length/interdorsal length46.7-66.353.45.7682.582.5-103.993.06.53Lower lip length/lower lip width20.8-29.725.52.6427.026.4-33.129.52.10CountsRangeModeSDHolotypeRangeModeSDMedian plates series24-27260.672827-30280.80Pre-dorsal plates330.0333_Plates bordering supraoccipital1-11_333_Dorsal plates below dorsal-fin base1-310.6737-880.55Plates between dorsal and adipose fin4-650.5587-880.38Plates between adipose and caudal fin4-540.3155-650.44Plates between end of anal-fin base and caudal fin12-14130.591313-15140.49Premaxillary teeth65-89826.153632-38332.42Dentary teeth64-90767.433629-43363.45
description: Published as part of Garavello, Julio César, Britski, Heraldo Antônio & Zawadzki, Claudio Henrique, 2012, The cascudos of the genus Hypostomus Lacépède (Ostariophysi: Loricariidae) from the rio Iguaçu basin, pp. 280 in Neotropical Ichthyology 10 (2) on page 280, DOI: 10.1590/S1679-62252012000200005, http://zenodo.org/record/10661068
DOI: 10.5061/dryad.pc866t1z4
title: Physics-informed neural networks (PINNs) with unsaturated water flow models for inverse analysis of soil hydraulic parameters of layered soil profiles

description: Information about the spatial distribution of soil hydraulic parameters is
 necessary for the accurate prediction of soil water flow and coupled
 movement of chemicals and heat at the field scale using a process-based
 model. Physics-informed neural networks (PINNs), which can provide
 physical constraints in deep learning to obtain a mesh-free solution, can
 be used to inversely estimate the soil hydraulic parameters from less and
 noisy training data. Previous studies using PINNs have successfully
 estimated soil hydraulic parameters for homogeneous soil but estimating
 such parameters of layered soil profiles where the interface depth and the
 parameters are unknown still has some difficulties. The objective of this
 study was to develop PINNs to inversely estimate the distribution of soil
 hydraulic parameters, such as saturated hydraulic conductivity and α and
 n, of the Mualem-van Genuchten model directly within layered soil profiles
 by predicting changes in pressure head from training data based on
 simulation results at given depths during infiltration. The impact of
 factors affecting PINNs performance, such as the weights assigned to each
 component of the loss function, the time range used in error computations,
 and the number of samples used to assess physical constraint was
 investigated. By assigning a larger weight to the physical constraint and
 excluding the earlier stage of infiltration in the loss function, the
 changes in pressure head and the three soil hydraulic parameter
 distributions within the layered soil profiles were successfully
 estimated. The developed PINNs can be further applied to more complex
 soils and can be improved.
description: # Physics-Informed Neural Networks (PINNs) with Unsaturated Water Flow
 Models for Inverse Analysis of Soil Hydraulic Parameters of Layered Soil
 Profiles
 [https://doi.org/10.5061/dryad.pc866t1z4](https://doi.org/10.5061/dryad.pc866t1z4) This is a supplemental material for VZJ-2024-01-0001-OA. ## Description of the data and file structure They consist of one python file and 10 datasets files. The dataset consists of pressure heads [cm] at 10, 20, 40, 60, 80, and 100 cm depth for each depth, volumetric water content [cm^3/cm^3] at 0, 30, and 70 cm depth for each depth, and time steps calculated by HYDRUS. Running this python file will train the accompanying dataset to predict saturated hydraulic conductivity Ks,α,n profiles for the soil hydraulic parameters. ## Sharing/Access information A link to the original code is shown below. The python file for this dataset is a modified version of the following code. [https://github.com/nanditadoloi/PINN](https://github.com/nanditadoloi/PINN) ## Code/Software This python file uses pytorch and numpy packages.  ## LICENSE Original Code Copyright (c) 2021 Nandita Doloi Modified Code Copyright (c) 2024 Koki Oikawa
DOI: 10.5061/dryad.hhmgqnkq7
title: Plink files from NYGC 1KG to be used for Cancer GWAS project QBIO475

description: Cancer risk is influenced by genetic variation and environment. However,
 allele frequencies for many cancer-associated variants remain poorly
 characterized across global populations. To address this gap and provide a
 framework for teaching population genetics using real human genomic data,
 undergraduate researchers analyzed population-level allele frequency
 variation for a curated set of cancer-associated single nucleotide
 polymorphisms (SNPs). We assembled a set of variants from the GWAS Catalog
 databases based on reported associations with hereditary cancers,
 including breast, ovarian, colorectal, and lung cancer. Allele frequencies
 were extracted from the 1000 Genomes Project across five major continental
 groups. Students quantified differences in allele frequencies across these
 populations. The dataset includes curated PLINK files that may be used for
 future research or educational purposes in human genetics and
 bioinformatics.
description: # Plink files from NYGC 1KG to be used for Cancer GWAS project QBIO475
 Dataset DOI:
 [10.5061/dryad.hhmgqnkq7](https://doi.org/10.5061/dryad.hhmgqnkq7) ##
 Description of the data and file structure Plink dataset for QBIO475
 Cancer GWAS project:\ Biallelic SNPs from 1000 Genomes NYGC hg38\ Filtered
 to unrelated individuals\ Highly autozygous individuals also removed\
 Regions with poor mappability removed\ Strict mask applied\ Label with
 super population Plink files are:\
 allPops.allChroms.snps.QCIndivsForAuto_UnrelsOnly_superPopLabel.bed,
 allPops.allChroms.snps.QCIndivsForAuto_UnrelsOnly_superPopLabel.bim,\
 allPops.allChroms.snps.QCIndivsForAuto_UnrelsOnly_superPopLabel.fam ##
 Access information Other publicly accessible locations of the data: * N/A
 Data was derived from the following sources: *
 [https://ftp.1000genomes.ebi.ac.uk/vol1/ftp/data_collections/1000G_2504_high_coverage/working/20201028_3202_phased/](https://ftp.1000genomes.ebi.ac.uk/vol1/ftp/data_collections/1000G_2504_high_coverage/working/20201028_3202_phased/)
DOI: 10.5061/dryad.k6djh9wfn
title: Data for: Unraveling the evolution of mycetophagy and phytophagy in fungus weevils (Curculionoidea: Anthribidae): phylogenomic insights into Anthribinae paraphyly and tribal non-monophyly

description: Fungus weevils (family Anthribidae) are morphologically and ecologically
 diverse, with highly varied feeding habits, mainly mycetophagy but also
 phytophagy, palynophagy, and entomophagy. The phylogeny of the family is
 virtually unexplored; its internal classification is artificial and
 controversial and its evolutionary history is obscure. We generated the
 first multi-gene higher-level phylogeny estimate of Anthribidae using DNA
 data from 400 nuclear genes obtained via anchored hybrid enrichment from
 40 species representing 17 tribes plus genera incertae sedis. As in
 previous studies, the family Anthribidae was consistently recovered as the
 sister group of Nemonychidae. We recovered two main clades in Anthribidae
 as sister groups with strong statistical support, viz. a monophyletic
 subfamily Urodontinae and the traditionally recognized Anthribinae, which
 was rendered paraphyletic by the subfamily Choraginae. Paraphyly and
 polyphyly among tribes of Anthribinae indicate that current tribal
 concepts — all based on morphology and without phylogenetic analysis — are
 artificial. Based on our results, we subsume the subfamily Choraginae into
 Anthribinae and place its six current tribes (Apolectini, Araecerini,
 Choragini, Cisanthribini, Valenfriesiini, and Xenorchestini) in an
 expanded subfamily Anthribinae. We also transfer three genera currently
 treated as Anthribinae incertae sedis to three generally recognized
 tribes, namely Pleosporius Holloway to Sintorini, Xylanthribus Kuschel to
 Proscoporhinini and Anthribidus Fåhraeus to Platystomini. The phylogenetic
 positions of Urodontinae and Trigonorhinini suggest that phytophagy is the
 ancestral feeding mode of Anthribidae, with a few taxa of Anthribinae
 having secondarily evolved plant-feeding from mycetophagy, the predominant
 feeding habit of the subfamily. Overall, our results provide the first
 molecular phylogenetic context for research on Anthribidae and a first
 step towards reconstructing a natural tribal classification of the
 Anthribinae. Our study highlights the need for a phylogenetic approach,
 sampling of type genera, and deeper taxon sampling to identify natural
 tribal-level groupings.
description: # Data for: Unraveling the evolution of mycetophagy and phytophagy in
 fungus weevils (Curculionoidea: Anthribidae): phylogenomic insights into
 Anthribinae paraphyly and tribal non-monophyly
 [https://doi.org/10.5061/dryad.k6djh9wfn](https://doi.org/10.5061/dryad.k6djh9wfn) ### Files and variables #### Raw data in \*.fq.gz NGS sequencing raw data file naming conventions: forward: "specimen number"_"species name".1_paired.fq.gz reverse: "specimen number"_"species name".2_paired.fq.gz
DOI: 10.34740/kaggle/dsv/14655525
title: Booru.org Top Leaderboard
DOI: 10.6084/m9.figshare.28873595.v3
title: fig1.tif

description: figure 1 of SPIRIT schedule of enrolment, interventions, and assessments
DOI: 10.15468/dl.pq2j8b
title: Occurrence Download

description: A dataset containing 6839 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Argynnis hyperbius"
 ]
}

 The dataset includes 6839 records from 44 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003981-260126135527185/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.r5nkb7
title: Occurrence Download

description: A dataset containing 17419 records in GBIF matching the query:
SELECT
 '488' AS fish_cell,
 GBIF_MGRSCode(1000, decimalLatitude, decimalLongitude, 0) AS cell, -- NO randomization
 COUNT(DISTINCT speciesKey) AS species_richness
 FROM occurrence
 WHERE hasCoordinate = TRUE
 AND speciesKey IS NOT NULL
 AND NOT ARRAY_CONTAINS(issue, 'ZERO_COORDINATE')
 AND NOT ARRAY_CONTAINS(issue, 'COORDINATE_OUT_OF_RANGE')
 AND NOT ARRAY_CONTAINS(issue, 'COORDINATE_INVALID')
 AND NOT ARRAY_CONTAINS(issue, 'COUNTRY_COORDINATE_MISMATCH')
 AND decimalLatitude &gt;= 46.479780028101516
 AND decimalLatitude &lt;= 51.21395264452012
 AND decimalLongitude &gt;= 100.71036946873933
 AND decimalLongitude &lt;= 113.58444627864597
 AND "year" &gt;= 2015
 AND "year" &lt;= 2026
 AND (coordinateUncertaintyInMeters &lt;= 100 OR coordinateUncertaintyInMeters IS NULL)
 GROUP BY fish_cell, cell

 The dataset's 17419 records were derived from 59 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003968-260126135527185/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.etd48k
title: Occurrence Download

description: A dataset containing 460 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Pinus albicaulis",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Country is United States of America",
 "Year is greater than or equal to 1995",
 "Year is less than or equal to 2005"
 ]
}

 The dataset includes 460 records from 29 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003983-260126135527185/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rxr6sp
title: Occurrence Download

description: A dataset containing 8102 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Mammalia, Reptilia, Amphibia)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1990",
 "Year is less than or equal to 2025",
 "BasisOfRecord is one of (Human Observation, Machine Observation, Observation)",
 "CoordinateUncertaintyInMeters is less than or equal to 500",
 "Geometry POLYGON ((-120.2668 34.82019, -120.1432 34.68484, -120.0301 34.61333, -119.8986 34.56829, -119.8515 34.55977, -119.7408 34.49743, -119.607 34.45778, -119.4654 34.44798, -119.3255 34.46868, -119.251 34.49342, -119.1467 34.43474, -119.0133 34.3944, -118.8719 34.38387, -118.732 34.40384, -118.6029 34.45298, -118.4934 34.52799, -118.4109 34.62381, -118.3808 34.67988, -118.278 34.7507, -118.195 34.84634, -118.1447 34.95639, -118.1306 35.07338, -118.1673 35.26602, -118.1704 35.29585, -118.1639 35.41325, -118.1948 35.52803, -118.2612 35.63232, -118.3587 35.71898, -118.4806 35.78203, -118.6186 35.81712, -118.667 35.82202, -118.6813 36.03752, -118.7489 36.19644, -118.8297 36.29408, -118.9393 36.37141, -119.0701 36.42309, -119.2132 36.44553, -119.3859 36.43766, -119.5259 36.40495, -119.6504 36.34402, -119.7379 36.28321, -119.8757 36.29752, -120.02 36.28225, -120.1007 36.2592, -120.0584 36.35964, -120.047 36.47673, -120.0637 36.60773, -120.06 36.72513, -120.076 36.85609, -120.1251 36.96675, -120.2085 37.0634, -120.3206 37.13942, -120.3459 37.15165, -120.4821 37.19611, -120.6282 37.21076, -120.7741 37.19457, -120.8952 37.15503, -121.036 37.15629, -121.1787 37.12755, -121.307 37.07017, -121.4121 36.98812, -121.4869 36.88707, -121.5262 36.77396, -121.5436 36.65304, -121.5222 36.53686, -121.4643 36.42907, -121.3739 36.33697, -121.3132 36.29298, -121.2421 36.19052, -121.1408 36.10633, -120.9503 36.01422, -120.811 35.98191, -120.61 35.97881, -120.4693 36.00688, -120.3773 36.04097, -120.419 35.9404, -120.4298 35.82324, -120.4028 35.70781, -120.3755 35.65326, -120.4494 35.56312, -120.4968 35.45215, -120.5074 35.33494, -120.4805 35.21949, -120.4181 35.11364, -120.3408 35.03704, -120.3219 34.92867, -120.2668 34.82019))"
 ]
}

 The dataset includes 8102 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003982-260126135527185/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5061/dryad.fj6q57435
title: Data from: Rewinding the ratchet: Rare recombination locally rescues neo-W degeneration and generates plateaus of sex-chromosome divergence

description: Natural selection is less efficient in the absence of recombination. As a
 result, non-recombining sequences, such as sex chromosomes, tend to
 degenerate over time. Although the outcomes of recombination arrest are
 typically observed after many millions of generations, recent neo-sex
 chromosomes can give insight into the early stages of this process. Here
 we investigate the evolution of neo-sex chromosomes in the Spanish marbled
 white butterfly, Melanargia ines, where a Z-autosome fusion has turned the
 homologous autosome into a non-recombining neo-W chromosome. We show that
 these neo-sex chromosomes are likely limited to the Iberian population of
 M. ines, and that they arose around the time when this population split
 from North-African populations, around 1.5 million years ago.
 Recombination arrest of the neo-W chromosome has led to an excess of
 premature stop codons and frameshift mutations, and reduced gene
 expression compared to the neo-Z chromosome. Surprisingly, we identified
 two regions of 1 Mb at one end of the neo-W that are both less diverged
 from the neo-Z and less degraded than the rest of the chromosome,
 suggesting a history of rare but repeated genetic exchange between the two
 neo-sex chromosomes. These plateaus of neo-sex chromosome divergence
 suggest that neo-W degradation can be locally reversed by rare
 recombination between neo-W and neo-Z chromosomes.
description: # Data from: Rewinding the ratchet: rare recombination locally rescues
 neo-W degeneration and generates plateaus of sex-chromosome divergence
 [https://doi.org/10.5061/dryad.fj6q57435](https://doi.org/10.5061/dryad.fj6q57435) These data are associated with the population genomic analyses in Decroly et al. (2024). ## Repeat intervals The file `melanargia_ines.PT_MI_8.v2_0.sequences.red_repeats.bed` contains intervals of the genome identified as repeats using the software Red (Girgis, 2015). ## Gene annotation The file `melanargia_ines.PT_MI_8.v2_0.sequences.red_repeats.augustus.gt.gff3` contains a gene annotation generated with braker2.1.5 (Hoff et al. 2019). ## VCF The file `melanargia_ines.vcf.gz` contains filtered variant calls for 15 individuals sampled throughout Iberia and the Maghreb (see Decroly et al. 2024 for details). ## Callable intervals The file `melanargia_ines.callable.bed.gz` contains intervals of the genome where genotypes are callable in a specific subset of individuals (see Decroly et al. 2024 for details).
DOI: 10.15468/dl.sqg7f3
title: Occurrence Download

description: A dataset containing 324 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Baoris farri"
 ]
}

 The dataset includes 324 records from 17 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003984-260126135527185/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.