cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.bs4na4
title: Occurrence Download

description: A dataset containing 1244 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Albizia procera (Roxb.) Benth.",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 1244 records from 67 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0055373-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14590365
title: tockus_leucomelas_decontaminated_FSCR.fasta.gz
DOI: 10.5281/zenodo.14590366
title: tockus_leucomelas_decontaminated_FSCR.fasta.gz
DOI: 10.34740/kaggle/dsv/10358668
title: Forbes World's Billionaires List 2024
DOI: 10.6073/pasta/406578baa2fd3f9ff39cd56379631a4a
title: Hourly Meteorological Data for the Virginia Coast Reserve LTER 1989-present

description: Data from VCR/LTER meteorological stations is listed in comma-separated-value (CSV) files by year. A combined file for all years is also available, sorted by station, date and time, however, unlike the annual files, this combined file is too large for most spreadsheets to handle. A compressed copy of all the .CSV files is included in a single .ZIP file for users who wish to conveniently download a copy of all the data.
DOI: 10.5281/zenodo.10613445
title: Dataset from: High-recombining genomic regions affect demography inference based on ancestral recombination graphs

description: Multiple methods of demography inference are based on the ancestral recombination graph. This powerful approach uses observed mutations to model local genealogies changing along chromosomes by historical recombination events. However, inference of underlying genealogies is difficult in regions with high recombination rate relative to mutation rate due to the lack of mutations representing genealogies. Despite the prevalence of high-recombining genomic regions in some organisms, such as birds, its impact on demography inference based on ancestral recombination graphs has not been well studied. Here, we use population genomic simulations to investigate the impact of high-recombining regions on demography inference based on ancestral recombination graphs. We demonstrate that inference of effective population size and the time of population split events is systematically affected when high-recombining regions cover wide breadths of the chromosomes. Excluding high-recombining genomic regions can practically mitigate this impact, and population genomic inference of recombination maps is informative in defining such regions, yet the estimated values of local recombination rate may not be utilized for this decision. Finally, we confirm the relevance of our findings in empirical analysis by contrasting demography inferences applied for a bird species, the Eurasian blackcap (Sylvia atricapilla), using different parts of the genome with high and low recombination rates. Our results suggest that demography inference methods based on ancestral recombination graphs should be carried out with caution when applied in species whose genomes contain long stretches of high-recombining regions.
DOI: 10.5281/zenodo.10613446
title: Dataset from: High-recombining genomic regions affect demography inference

description: Inference of population history of non-model species is important in evolutionary and conservation biology. Multiple methods of population genomics, including those to infer population history, are based on the ancestral recombination graph (ARG). These methods use observed mutations to model local genealogies changing along chromosomes. Breakpoints at which genealogies change effectively represent the positions of historical recombination events.  However, inference of underlying genealogies is difficult in regions with high recombination rate relative to mutation rate. This is because genealogies cover genomic intervals that are too short to accommodate sufficiently many mutations informative of the structure of the underlying genealogies. Despite the prevalence of high-recombining genomic regions in some non-model organisms, such as birds, its effect on ARG-based demography inference has not been well studied. Here, we use population genomics simulations to investigate the impact of high-recombining regions on ARG-based demography inference. We demonstrate that inference of effective population size and the time of population split events is systematically affected when high-recombining regions cover wide breadths of the chromosomes. We also show that excluding high-recombining genomic regions can practically mitigate this effect. Finally, we confirm the relevance of our findings in empirical analysis by contrasting demography inferences applied for a bird species, the Eurasian blackcap (*Sylvia atricapilla*), using different parts of the genome with high and low recombination rates. Our results suggest that demography inference using ARG-based methods should be carried out with caution when applied in species whose reference genomes contain long stretches of high-recombining regions.
DOI: 10.5281/zenodo.14590030
title: Dataset from: High-recombining genomic regions affect demography inference based on ancestral recombination graphs

description: Multiple methods of demography inference are based on the ancestral recombination graph. This powerful approach uses observed mutations to model local genealogies changing along chromosomes by historical recombination events. However, inference of underlying genealogies is difficult in regions with high recombination rate relative to mutation rate due to the lack of mutations representing genealogies. Despite the prevalence of high-recombining genomic regions in some organisms, such as birds, its impact on demography inference based on ancestral recombination graphs has not been well studied. Here, we use population genomic simulations to investigate the impact of high-recombining regions on demography inference based on ancestral recombination graphs. We demonstrate that inference of effective population size and the time of population split events is systematically affected when high-recombining regions cover wide breadths of the chromosomes. Excluding high-recombining genomic regions can practically mitigate this impact, and population genomic inference of recombination maps is informative in defining such regions, yet the estimated values of local recombination rate may not be utilized for this decision. Finally, we confirm the relevance of our findings in empirical analysis by contrasting demography inferences applied for a bird species, the Eurasian blackcap (Sylvia atricapilla), using different parts of the genome with high and low recombination rates. Our results suggest that demography inference methods based on ancestral recombination graphs should be carried out with caution when applied in species whose genomes contain long stretches of high-recombining regions.
DOI: 10.6073/pasta/5e6b67766b905a031a6bf2634e82d546
title: Fire history database of the western United States, 1994

description: To create a database of existing published and unpublished tree-ring reconstructions of fire regimes in forested areas, before circa 1900, west of 100 W longitude in the continental United States, exclusive of Alaska. The studies included in the database are restricted to tree-ring reconstructions of fire history and the information extracted includes citations to the data sources, site information, estimated fire regimes, and information on individual fire events (when readily available). Fire regimes vary greatly across short distances in the western United States, so that a reconstruction of fire history over a small area may not represent the history of a larger area. Therefore, we extracted information on the size of the study area and the amount of fire evidence (number of trees scarred and/or number of tree origin dates) used in computing the fire regimes to allow the user to gauge the applicability of each reconstruction to larger areas.
DOI: 10.15468/dl.chrnrt
title: Occurrence Download

description: A dataset containing 341423 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "PublishingCountry is Colombia",
 {
 "and" : [
 "Country is Colombia",
 {
 "not" : {
 "Issue" : [
 "is Country coordinate mismatch"
 ]
 }
 }
 ]
 }
 ]
 },
 {
 "or" : [
 "StateProvince ~cesar",
 "StateProvince is cesar",
 "StateProvince is cesar department",
 "StateProvince is cesar dept.",
 "StateProvince is cesar/magdalena",
 "StateProvince is cesar-",
 "StateProvince is cesar?",
 "StateProvince is cesar / magdalena",
 "StateProvince is cesar or la guajira or magdalena"
 ]
 }
 ]
}

 The dataset includes 341423 records from 297 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0055372-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wer73s
title: Occurrence Download

description: A dataset containing 31 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Albizia procera (Roxb.) Benth.",
 "HasCoordinate is true",
 "HasGeospatialIssue is true"
 ]
}

 The dataset includes 31 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0055374-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14590357
title: OILADA BOLALARNI MILLIY QADRIYAT VA AN'ANALAR ASOSIDA O'ZARO MUNOSABATLARINI SHAKLLANTIRISHNING NAZARIY-METODOLOGIK ASOSLARI

description: Ushbu maqolada oilada bolalarni milliy qadriyatlar va an’analar asosida o‘zaro munosabatlarini shakllantirish, milliy qadriyatlarimizni yanada rivojlantirishning ma’naviy-ma’rifiy ishlarimizdagi ahamiyati, oila va qadriyatlarning abadiy bir-biri bilan chambarchas bog‘langanligi bolalarga oiladagi munosabatining ijobiy darajasi to‘g‘risida yozilgan.
DOI: 10.5281/zenodo.14590358
title: OILADA BOLALARNI MILLIY QADRIYAT VA AN'ANALAR ASOSIDA O'ZARO MUNOSABATLARINI SHAKLLANTIRISHNING NAZARIY-METODOLOGIK ASOSLARI

description: Ushbu maqolada oilada bolalarni milliy qadriyatlar va an’analar asosida o‘zaro munosabatlarini shakllantirish, milliy qadriyatlarimizni yanada rivojlantirishning ma’naviy-ma’rifiy ishlarimizdagi ahamiyati, oila va qadriyatlarning abadiy bir-biri bilan chambarchas bog‘langanligi bolalarga oiladagi munosabatining ijobiy darajasi to‘g‘risida yozilgan.
DOI: 10.5281/zenodo.14590371
title: Base de datos Nonuya - grafía normalizada

description: Este documento recopila las transcripciones de 8.693 grabaciones de palabras y expresiones de la lengua Nonuya (noj, familia lingüística Witoto) hechas con cuatro hablantes. La presente base de datos contiene las transcripciones originales revisadas y corregidas, transcritas empleando la grafía adoptada para la escritura de la lengua, y a cada línea se le ha dado un identificador, con la finalidad de citar este material en trabajos de análisis de la lengua (en particular: Echeverri, Fagua y Wojtylak, forthcoming). Los materiales de audio pueden ser consultados en el Archivo DOBES.
DOI: 10.5281/zenodo.14590372
title: Base de datos Nonuya - grafía normalizada

description: Este documento recopila las transcripciones de 8.693 grabaciones de palabras y expresiones de la lengua Nonuya (noj, familia lingüística Witoto) hechas con cuatro hablantes. La presente base de datos contiene las transcripciones originales revisadas y corregidas, transcritas empleando la grafía adoptada para la escritura de la lengua, y a cada línea se le ha dado un identificador, con la finalidad de citar este material en trabajos de análisis de la lengua (en particular: Echeverri, Fagua y Wojtylak, forthcoming). Los materiales de audio pueden ser consultados en el Archivo DOBES.
DOI: 10.6073/pasta/e0bf4571ca6cbfb81c3ed7caefc85fc6
title: The Extended Global Lake area, Climate, and Population Dataset (GLCP)

description: A changing climate and increasing human population necessitate understanding global freshwater availability and temporal variability. To examine lake freshwater availability from local-to-global and monthly-to-decadal scales, we created the Global Lake area, Climate, and Population (GLCP) dataset, which contains annual lake surface area for 1.42 million lakes with paired annual basin-level climate and population data. Building off an existing data product infrastructure, the next generation of the GLCP includes monthly lake ice area, snow basin area, and more climate variables including specific humidity, longwave and shortwave radiation, as well as cloud cover. The new generation of the GLCP continues previous FAIR data efforts by expanding its scripting repository and maintaining unique relational keys for merging with external data products. Compared to the original version, the new GLCP contains an even richer suite of variables capable of addressing disparate analyses of lake water trends at wide spatial and temporal scales.
DOI: 10.6084/m9.figshare.28127507
title: Data for "Characterizing Hydroponic Dwarf Tomato Growth in Microbially Inoculated Lunar Regolith Simulant"

description: This project contains data from an experiment with a 2<sup>2</sup> factorial design using 20 Bato buckets (each containing two dwarf tomato plants) divided into four treatment groups based on two factors. Each treatment group received either perlite or LRS as a substrate, and received hydroponic nutrient solution that either had been or had not been inoculated with a commercially available microbial inoculant (Mikro-Myco).<br>
DOI: 10.5281/zenodo.14590380
title: TALABALARNI  MODUL-KREDIT TIZIMIDA ISHLASH KOMPETENTLARINI O'STIRISH

description: Mazkur maqolamda Kredit-modul tizimi (KMT) butun dunyoda talabalarning mustaqil o'rganish ko'nikmalarini shakllantirish va ularga tanqidiy fikrlash imkoniyatlarini yaratishga qaratiladi. Ushbu maqolada KMT orqali talabalarni o'qitish jarayonida ularning ishlash kompetentsiyalarini rivojlantirish yo'llari, metodlari va afzalliklari tahlil qilinadi.
DOI: 10.5281/zenodo.14590381
title: TALABALARNI  MODUL-KREDIT TIZIMIDA ISHLASH KOMPETENTLARINI O'STIRISH

description: Mazkur maqolamda Kredit-modul tizimi (KMT) butun dunyoda talabalarning mustaqil o'rganish ko'nikmalarini shakllantirish va ularga tanqidiy fikrlash imkoniyatlarini yaratishga qaratiladi. Ushbu maqolada KMT orqali talabalarni o'qitish jarayonida ularning ishlash kompetentsiyalarini rivojlantirish yo'llari, metodlari va afzalliklari tahlil qilinadi.
DOI: 10.6084/m9.figshare.27011397
title: Optimal Decorrelated Score Subsampling for High-Dimensional Generalized Linear Models Under Measurement Constraints

description: When responses of massive data are hard to obtain due to some reasons such as privacy and security, high cost and administrative management, response-free subsampling is considered. In this article, we propose a response-free decorrelated score subsampling approach to estimate and make statistical inference for a preconceived low-dimensional parameter in high-dimensional generalized linear models. The unconditional consistency and asymptotic normality of the resulting weighted subsample estimator are established using martingale techniques since the subsamples are no longer independent. The optimal response-free subsampling probabilities are derived based on A- and L-optimality criteria. Based on the optimal subsample, we further propose a more efficient and stable unweighted decorrelated score subsample estimator. The satisfactory performance of our proposed subsample estimators are demonstrated by simulation results and two real data applications. Supplementary materials for this article are available online.
DOI: 10.6084/m9.figshare.27011397.v3
title: Optimal Decorrelated Score Subsampling for High-Dimensional Generalized Linear Models Under Measurement Constraints

description: When responses of massive data are hard to obtain due to some reasons such as privacy and security, high cost and administrative management, response-free subsampling is considered. In this article, we propose a response-free decorrelated score subsampling approach to estimate and make statistical inference for a preconceived low-dimensional parameter in high-dimensional generalized linear models. The unconditional consistency and asymptotic normality of the resulting weighted subsample estimator are established using martingale techniques since the subsamples are no longer independent. The optimal response-free subsampling probabilities are derived based on A- and L-optimality criteria. Based on the optimal subsample, we further propose a more efficient and stable unweighted decorrelated score subsample estimator. The satisfactory performance of our proposed subsample estimators are demonstrated by simulation results and two real data applications. Supplementary materials for this article are available online.
DOI: 10.6084/m9.figshare.27011397.v2
title: Optimal Decorrelated Score Subsampling for High-Dimensional Generalized Linear Models Under Measurement Constraints

description: When responses of massive data are hard to obtain due to some reasons such as privacy and security, high cost and administrative management, response-free subsampling is considered. In this article, we propose a response-free decorrelated score subsampling approach to estimate and make statistical inference for a preconceived low-dimensional parameter in high-dimensional generalized linear models. The unconditional consistency and asymptotic normality of the resulting weighted subsample estimator are established using martingale techniques since the subsamples are no longer independent. The optimal response-free subsampling probabilities are derived based on A- and L-optimality criteria. Based on the optimal subsample, we further propose a more efficient and stable unweighted decorrelated score subsample estimator. The satisfactory performance of our proposed subsample estimators are demonstrated by simulation results and two real data applications. Supplementary materials for this article are available online.
DOI: 10.6084/m9.figshare.28127532.v1
title: Fluid Correlation: A Novel Nonparametric Metric to Assess the Dynamic Association

description: The dynamic association between stochastic processes provides crucial information to science and industrial enterprises. Classic methods only provide a fixed and static metric that represents the global association of the stochastic processes. The metric that characterizes the dynamic association is still lacking. Developing such a metric is challenging since the temporal dependence of the stochastic processes could introduce an additional layer of complexity. To surmount the challenge, we develop a method for characterizing the dynamic association between two stochastic processes by delineating the varying factors that may affect the association of the stochastic processes. This is made possible via a novel concept of <i>fluid correlation</i>, which is derived under the concurrent regression models. We propose a penalized total least squares method for estimating the fluid correlation in a reproducing kernel Hilbert space. Asymptotic Bayesian confidence bands are obtained for the uncertainty quantification. The capability of the fluid correlation is demonstrated in constructing a microbial dynamic association, which is particularly informative for the understanding of the microbial ecosystem that dynamically changes with environmental factors.
DOI: 10.6084/m9.figshare.28127532
title: Fluid Correlation: A Novel Nonparametric Metric to Assess the Dynamic Association

description: The dynamic association between stochastic processes provides crucial information to science and industrial enterprises. Classic methods only provide a fixed and static metric that represents the global association of the stochastic processes. The metric that characterizes the dynamic association is still lacking. Developing such a metric is challenging since the temporal dependence of the stochastic processes could introduce an additional layer of complexity. To surmount the challenge, we develop a method for characterizing the dynamic association between two stochastic processes by delineating the varying factors that may affect the association of the stochastic processes. This is made possible via a novel concept of <i>fluid correlation</i>, which is derived under the concurrent regression models. We propose a penalized total least squares method for estimating the fluid correlation in a reproducing kernel Hilbert space. Asymptotic Bayesian confidence bands are obtained for the uncertainty quantification. The capability of the fluid correlation is demonstrated in constructing a microbial dynamic association, which is particularly informative for the understanding of the microbial ecosystem that dynamically changes with environmental factors.
DOI: 10.6073/pasta/8a5eb2f607059e5530b893160bdb4cdd
title: SBC LTER: Time series of quarterly NetCDF files of kelp biomass in the canopy from Landsat 5, 7 and 8, since 1984 (ongoing)

description: This data file represents a time series of canopy area of giant
 kelp, Macrocystis pyrifera, and bull kelp,
 Nereocystis luetkeana, and canopy biomass of
 giant kelp derived from Landsat 5 Thematic Mapper (TM), Landsat 7
 Enhanced Thematic Mapper Plus (ETM+), Landsat 8 Operational Land
 Imager (OLI), and Landsat 9 Operational Land Imager 2 satellite
 imagery, along with relevant metadata. The kelp canopy is composed
 of the portions of fronds and stipes floating on the surface of
 the water. Canopy area (m) data are given for individual 30 x 30
 meter pixels for all coastal areas of Baja California, Mexico,
 California, Oregon, and the outer coast of Washington (including
 offshore islands). Biomass data (wet weight, kg) are given for
 individual 30 x 30 meter pixels in the coastal areas extending
 from near Ano Nuevo, CA through the southern range limit in Baja
 California (including offshore islands), representing the range
 where giant kelp is the dominant canopy forming species.
 
 
 Data were derived from the three Landsat sensors listed above.
 Observations are made on a 16 day repeat cycle, for each
 instrument, but the temporal coverage is irregular because of
 cloud cover, instrument failure, and the mission length of each
 sensor (TM: 1984 – 2011, ETM+: 1999 – present, OLI: 2013 –
 present). Estimates of canopy area are derived from the fractional
 cover of kelp canopy determined from satellite surface
 reflectance. Estimates of kelp canopy biomass are derived from the
 relationship between giant kelp fractional cover determined from
 satellite surface reflectance and empirical measurements of giant
 kelp canopy biomass in long-term SBC LTER study plots obtained
 using SCUBA. The different Landsat sensors were calibrated to each
 other using simulated Landsat data derived from hyperspectral
 imagery. Missing data due to the ETM+ scan line corrector error
 were filled using a synchrony-based gap filling method.
 
 
 Data are organized into a single NetCDF file and contain the
 quarterly area and biomass means for each Landsat pixel across the
 three sensors. Relevant metadata such as number of Landsat
 estimates from which the mean was derived, the number of estimates
 from each sensor, standard error for each quarterly estimate,
 spatial coordinates, and date are all included in the file. For
 assistance with the data, please contact sbclter@msi.ucsb.edu.