cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.17162635
title: "FIQH AL-AKBAR" MATNIGA YOZILGAN MUXTASAR SHARH

description: Bugungi kunda yurtimizda islom dinining ma’rifiy asoslarini, ajdodlarimizning bemisl ilmiy merosini urganishga aloxida e’tibor karatilmokda. Jumladan, davlatimiz raxbarining 2022 yil 10 fevraldagi “Qadimiy yozma manbalarni saqlash va tadqiq etish tizimini takomillashtirishga doir q o‘shimcha chora-tadbirlar t o‘g‘risida”gi qarori ham buyuk ajdodlarimiz asarlarini yanada teran anglab yetishga, yosh avlodning ulamolarimiz qoldirgan xikmatlar asosida kamol topishiga xizmat kiladi.
DOI: 10.17632/t2456ntt78.1
title: A Cross-Sectional Analysis of Funding Sources of Dermatologic Clinical Trials: Full Search Terms and Broad Categories Supplement

description: Introduction: 
The National Institutes of Health (NIH) is the largest public funding source for medical research, yet funding for dermatology research has decreased by 24% in recent decades. This has prompted investigators to explore alternative funding sources.1,2 This study examines funding and topic trends for dermatologic clinical trials.

Methods:
A comprehensive list of trials completed between 2000-2023 was extracted from ClinicalTrials.gov. Funding sources were classified as Federal, Industry, Network, Individual, NIH, non-NIH governmental funding, and Other. Chi-square analysis was conducted using SPSS to explore relationships between funding sources, topics, and years, with a significance at p&lt;0.05.

Results: 
A total of 2,603 trials were analyzed, revealing a peak in funding in 2018 with 223 trials, followed by a sharp decline, with only 33 trials funded in 2023. Industry was the dominant funding source, followed by NIH and Other sources. Significant shifts in funding distribution were observed over time (χ²=182.353, p=0.002), with psoriasis, infectious diseases, and melanoma receiving the most funding. Industry funding prioritized psoriasis, cosmetics, and acne, while NIH funding concentrated on cutaneous oncology. 

Discussion: 
These findings emphasize the changing landscape of dermatologic research funding and highlight the need for continued investment in underfunded areas, particularly those with a high global disease burden.3,4 Rapid changes in governmental allocation of research funds will undoubtedly influence the future of dermatology. 

Conclusion:
Recognizing funding trends highlights current disease priorities and reveals areas with growing needs. Dermatology societies must advocate for diverse funding sources to address emerging challenges and ensure equitable research across all dermatologic conditions.
DOI: 10.15468/dl.g767v8
title: Occurrence Download

description: A dataset containing 3 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "TaxonKey is Agrostis inconspicua",
 "Year is less than or equal to 2000",
 "Year is greater than or equal to 1970",
 {
 "or" : [
 {
 "not" : {
 "EstablishmentMeans" : [
 "is one of (MANAGED, INTRODUCED)"
 ]
 }
 },
 "EstablishmentMeans is null"
 ]
 },
 {
 "or" : [
 "CoordinateUncertaintyInMeters is less than 1000",
 "CoordinateUncertaintyInMeters is null"
 ]
 }
 ]
}

 The dataset includes 3 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020100-250914085247600/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/nrp7zhm7tx.1
title: Combinatorial and Algebraic Modeling data

description: This is the dataset used to obtain more information via a combinatorial (pairwise) method to compare how energy is partitioned when different additives are supplemented in poultry
DOI: 10.15468/dl.jsxeu4
title: Occurrence Download

description: A dataset containing 3073 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "TaxonKey is one of (Taraxacum laevigatum)"
 ]
}

 The dataset includes 3073 records from 179 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020102-250914085247600/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/9y66nz4c7z
title: Spatial differentiation and environment-driven mechanisms of locust community structure in the Xinjiang region along the Sino-Kazakh border

description: No description
DOI: 10.17632/9y66nz4c7z.1
title: Spatial differentiation and environment-driven mechanisms of locust community structure in the Xinjiang region along the Sino-Kazakh border

description: No description
DOI: 10.17632/btzdd3fy9t
title: RISE Up Study- stress

description: The Reducing Inequities through Social and Educational Change (RISE Up) Study is a natural experiment comparing a cohort of mostly Latinx adolescents from low-income neighborhoods of Los Angeles who applied to high-performing, public, charter high schools in 2013 and 2014. The study examines those who applied to these high performing schools, comparing lottery winners vs. lottery waitlsted students. Prior results of this study have found that lottery winners had lower rates of substance use and delinquent behaviors compared to those waitlisted. We also found that lottery winners had lower rates of self-reported obesity and poor physical health, but only among males. Among females, lottery winners had much higher rates of obesity and poor physical health. Thus, we hypothesized that exposure to high performing schools would lead to more stress among females, but lead to lower or no differences in stress among males. We hypothesized similar patterns regarding self-reported discrimination.

Our results regarding stress were consistent with our hypothesis. We found that among females, lottery winners reported more stress than lottery waitlisters. Among males, lottery winners reported less stress than lottery waitlisters. We found no differences in self-reported discrimination among lottery winners vs. waitlisted among males or females.
DOI: 10.15468/dl.5mq6br
title: Occurrence Download

description: A dataset containing 81 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Avifauna e ictiofauna presente en el humedal Toqui-Toqui, departamento del Tolima"
 ]
}

 The dataset includes 81 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020099-250914085247600/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/btzdd3fy9t.3
title: RISE Up Study- stress

description: The Reducing Inequities through Social and Educational Change (RISE Up) Study is a natural experiment comparing a cohort of mostly Latinx adolescents from low-income neighborhoods of Los Angeles who applied to high-performing, public, charter high schools in 2013 and 2014. The study examines those who applied to these high performing schools, comparing lottery winners vs. lottery waitlsted students. Prior results of this study have found that lottery winners had lower rates of substance use and delinquent behaviors compared to those waitlisted. We also found that lottery winners had lower rates of self-reported obesity and poor physical health, but only among males. Among females, lottery winners had much higher rates of obesity and poor physical health. Thus, we hypothesized that exposure to high performing schools would lead to more stress among females, but lead to lower or no differences in stress among males. We hypothesized similar patterns regarding self-reported discrimination.

Our results regarding stress were consistent with our hypothesis. We found that among females, lottery winners reported more stress than lottery waitlisters. Among males, lottery winners reported less stress than lottery waitlisters. We found no differences in self-reported discrimination among lottery winners vs. waitlisted among males or females.
DOI: 10.15468/dl.9qwddg
title: Occurrence Download

description: A dataset containing 17 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Mesosphaerum suaveolens",
 "Country is Burundi",
 "HasCoordinate is true"
 ]
}

 The dataset includes 17 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020101-250914085247600/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qyc5jq
title: Occurrence Download

description: A dataset containing 139 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Biota presente en el humedal laguna Gavilán, departamento del Tolima"
 ]
}

 The dataset includes 139 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020103-250914085247600/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.edznaw
title: Occurrence Download

description: A dataset containing 146796 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Varanus exanthematicus, Varanus indicus, Varanus niloticus, Varanus salvator, Aegilops cylindrica, Arthraxon hispidus, Bromus rubens, Digitaria abyssinica, Eleusine tristachya, Hyparrhenia bracteata, Hyparrhenia hirta, Guizotia abyssinica, Cynoglossum amabile, Brassica tournefortii, Camelina sativa, Lepidium latifolium, Buxus microphylla, Kali tragus, Euphorbia terracina, Solanum marginatum)",
 "BasisOfRecord is one of (Machine Observation, Human Observation, Observation)",
 "HasCoordinate is true",
 "Year is greater than or equal to 1990"
 ]
}

 The dataset includes 146796 records from 682 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020072-250914085247600/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/bnn8bf9fhg
title: Depositional Architecture of a Pleistocene Coastal Barrier Revealed by Ground-Penetrating Radar on the Paraná Coast, Southern Brazil

description: These radargrams are supplementary materials referring to the article Depositional Architecture of a Pleistocene Coastal Barrier Revealed by Ground Penetrating Radar on the Paraná Coast, Southern Brazil.
The primary objective of this study is to provide a detailed characterization of the depositional architecture of a Pleistocene barrier segment located in the inland region of the Superagüi and Paranaguá strandplains. By distinguishing Barrier Systems II and III and delineating their boundary, this work contributes to a broader understanding of how coastal systems respond to sea-level fluctuations and climate change—key factors influencing coastal evolution globally. 
The radarfacies and bounding surfaces show strong correspondence with the sedimentary facies identified in core samples and stratigraphic profiles from previous studies. In the Superagüi strandplain, four main depositional environments were interpreted based on radarfacies distribution and geometry: shoreface, foreshore, backbarrier, and aeolian dune fields. In the Paranaguá strandplain, two principal depositional environments were identified: shoreface and foreshore. 
The first GPR transect was acquired across the Superagüi strandplain, within the domain of Barrier System III, and extends for approximately 2.6 km and displays continuous reflections down to a depth of ~7.5 m. A total of nine radarfacies (Rf1, Rf7, Rf8, Rf9, Rf10, Rf11, Rf12, Rf15, and Rf16) were identified along this transect. In the Paranaguá region, two GPR transects were acquired in the inner portion of the strandplain. Profiles 1 and 2 extend for 345 m and 500 m, respectively, along a NW–SE direction and display similar stratigraphic characteristics. Profile 1, located farther inland, reaches a depth of 6 m, with elevations ranging between +8 and +10 m MSL. Profile 2 covers elevations from +8 to +12 m MSL and also penetrates to 6 m depth. A total of 9 radarfacies were identified across both profiles (Rf2, Rf3, Rf4, Rf5, Rf9, Rf13, Rf14, Rf15 and Rf16).
DOI: 10.17632/bnn8bf9fhg.2
title: Depositional Architecture of a Pleistocene Coastal Barrier Revealed by Ground-Penetrating Radar on the Paraná Coast, Southern Brazil

description: These radargrams are supplementary materials referring to the article Depositional Architecture of a Pleistocene Coastal Barrier Revealed by Ground Penetrating Radar on the Paraná Coast, Southern Brazil.
The primary objective of this study is to provide a detailed characterization of the depositional architecture of a Pleistocene barrier segment located in the inland region of the Superagüi and Paranaguá strandplains. By distinguishing Barrier Systems II and III and delineating their boundary, this work contributes to a broader understanding of how coastal systems respond to sea-level fluctuations and climate change—key factors influencing coastal evolution globally. 
The radarfacies and bounding surfaces show strong correspondence with the sedimentary facies identified in core samples and stratigraphic profiles from previous studies. In the Superagüi strandplain, four main depositional environments were interpreted based on radarfacies distribution and geometry: shoreface, foreshore, backbarrier, and aeolian dune fields. In the Paranaguá strandplain, two principal depositional environments were identified: shoreface and foreshore. 
The first GPR transect was acquired across the Superagüi strandplain, within the domain of Barrier System III, and extends for approximately 2.6 km and displays continuous reflections down to a depth of ~7.5 m. A total of nine radarfacies (Rf1, Rf7, Rf8, Rf9, Rf10, Rf11, Rf12, Rf15, and Rf16) were identified along this transect. In the Paranaguá region, two GPR transects were acquired in the inner portion of the strandplain. Profiles 1 and 2 extend for 345 m and 500 m, respectively, along a NW–SE direction and display similar stratigraphic characteristics. Profile 1, located farther inland, reaches a depth of 6 m, with elevations ranging between +8 and +10 m MSL. Profile 2 covers elevations from +8 to +12 m MSL and also penetrates to 6 m depth. A total of 9 radarfacies were identified across both profiles (Rf2, Rf3, Rf4, Rf5, Rf9, Rf13, Rf14, Rf15 and Rf16).
DOI: 10.17632/bmf28g58hf
title: UNLOCKING THE JUDICIARY: PREDICTIVE DETERMINANTS OF ACTUAL AND POTENTIAL ACCESS TO BRAZILIAN STATE COURTS

description: Dataset

This repository contains the data used in the study “Unlocking the Judiciary: Predictive Determinants of Actual and Potential Access to Brazilian State Courts”. The research investigates the factors that explain both effective and potential access to justice within Brazilian state courts, using predictive modeling and empirical data analysis.
DOI: 10.17632/bmf28g58hf.2
title: UNLOCKING THE JUDICIARY: PREDICTIVE DETERMINANTS OF ACTUAL AND POTENTIAL ACCESS TO BRAZILIAN STATE COURTS

description: Dataset

This repository contains the data used in the study “Unlocking the Judiciary: Predictive Determinants of Actual and Potential Access to Brazilian State Courts”. The research investigates the factors that explain both effective and potential access to justice within Brazilian state courts, using predictive modeling and empirical data analysis.
DOI: 10.15468/dl.hqu3yx
title: Occurrence Download

description: A dataset containing 1817502 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Rhynchophorus ferrugineus, Pycnonotus cafer, Commelina obliqua, Imperata cylindrica, Acanthospermum hispidum, Ageratina altissima, Mikania cordata, Mikania scandens, Tamarix indica, Cajanus scarabaeoides, Derris trifoliata, Entada rheedei, Mimosa pudica, Duranta erecta, Croton bonplandianus, Shirakiopsis indica, Acrostichum aureum, Aphis spiraecola, Icerya genistae, Gallus gallus)",
 "BasisOfRecord is one of (Machine Observation, Human Observation, Observation)",
 "HasCoordinate is true",
 "Year is greater than or equal to 1990"
 ]
}

 The dataset includes 1817502 records from 552 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0020046-250914085247600/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.tf856b
title: Occurrence Download

description: A dataset containing 512 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Material sample, Specimen, Fossil, Living Specimen)",
 "Country is China",
 "OccurrenceStatus is Present",
 "StateProvince is one of (FUJIAN Prov., Fujian, Fujian/Fukien Prov., FUJIAN prov., FuJian, Fujian (Fukien) Province, Fujian (or Fukien), Fujian (福建), Fujian (福建省), Fujian Prov, Fujian Prov., Fujian Province, Fujian Sheng, Fujian Sheng (福建省), Fujian prov, Fujian province, Fujian(福建), Fujian-Sheng, Fujiang, Fujiang Province)",
 "TaxonKey is Bryophyta"
 ]
}

 The dataset includes 512 records from 17 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002888-250123221155621/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14741217
title: Indicadores Cultura y Territorio Monitor Version 2020

description: Fichero excel con indicadores de Cultural and creative cities en España versión 2020
DOI: 10.5281/zenodo.14741218
title: Indicadores Cultura y Territorio Monitor Version 2020

description: Fichero excel con indicadores de Cultural and creative cities en España versión 2020
DOI: 10.15468/dl.rkvmb7
title: Occurrence Download

description: A dataset containing 104450 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is EOD – eBird Observation Dataset",
 "TaxonKey is Calidris temminckii (Leisler, 1812)"
 ]
}

 The dataset includes 104450 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002887-250123221155621/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.28281920
title: Genome annotation files of Coreosiniperca roulei

description: Genome annotation files of Coreosiniperca roulei
DOI: 10.1594/pangaea.900394
title: Airborne in-situ measurements of the aerosol absorption coefficient, aerosol particle number concentration and size distribution of cloud particle residuals and ambient aerosol particles during flight P6_206_ACLOUD_2017_1706181901
DOI: 10.25919/5cdba18939c29
title: National Geochemical Survey of Australia reflectance spectroscopy measurements

description: Visible-near infrared to shortwave infrared (VNIR-SWIR) and midwave infrared to thermal infrared (MIR-TIR) fourier transform infrared spectroscopy (FTIR) measurements of the National Geochemical Survey of Australia soil samples from Geoscience Australia (GA). Samples were measured at the Australian Resources Research Center in Kensington, WA by CSIRO and GA staff between 2013-2016. A total of 1308 samples were measured using the two spectral methods.
DOI: 10.3886/e115795v3
title: County-level crop area in the USA 1840-2017

description: This dataset contains estimates of proportional area of 18 major crops for each county in the United States at roughly decadal time steps between 1840 and 2017, and was used for analyses of historical changes in crop area, diversity, and distribution published in:<br><br>Crossley, MS, KD Burke, SD Schoville, VC Radeloff. (2020). Recent collapse of crop belts and declining diversity of US agriculture since 1840. Global Change Biology (in press).<br><br>The original data used to curate this dataset was derived by Haines et al. (ICPSR 35206) from USDA Agricultural Census archives (https://www.nass.usda.gov/AgCensus/). <br><br>This dataset builds upon previous work in that crop values are georeferenced and rectified to match 2012 county boundaries, and several inconsistencies in the tabular-formatted data have been smoothed-over. In particular, smoothing included conversion of values of production (e.g. bushels, lbs, typical of 1840-1880 censuses) into values of area (using USDA NASS yield data), imputation of missing values for certain crop x county x year combinations, and correcting values for counties whose crop totals exceeded the possible land area.<br><br>Please contact the PI, Mike Crossley, with any questions or requests: mcrossley3@gmail.com<br><br>
description: Smallest Geographic Unit: County
DOI: 10.5067/atlas/atl10.005
title: ATLAS/ICESat-2 L3A Sea Ice Freeboard, Version 5
DOI: 10.5067/l3lsvdzs15zv
title: MEaSUREs ITS_LIVE Antarctic Grounded Ice Sheet Elevation Change, Version 1
DOI: 10.5281/zenodo.10719342
title: Code Package and Data of Deep Learning Driven Simulations of Boundary Layer Cloud over the US Southern Great Plains

description: These are the package of the deep learning model for boundary layer clouds (DLC: deep-learning-driven cloud), including input data, model outputs, the scripts. This research presents a deep learning framework that is designed to simulate boundary layer clouds (BLC) with the integration of three specialized deep neural network (DNN) models that capture the initiation, positioning, and vertical extent of BLCs. It all starts with a model for predicting cloud formation. This is followed by a model for positioning clouds. Last, the cloud coverage fraction is determined vertically within the cloud. This allows for a rich BLC dynamics representation. The model uses morning meteorological data and surface fluxes to predict BLC formation in TensorFlow. Normalization, L2 regularization, batch normalization, and dropout are all employed during training for efficient training and strong model robustness. The architecture is carefully designed to accurately simulate the BLC. Early stopping and learning rate adjustment are used in the training to achieve the optimized performance of the model. This approach produces a rich puzzle for simulating BLCs in detail, which is important to the understanding and prediction of cloud layer behaviors.
DOI: 10.5281/zenodo.6926605
title: The Tracing Convective Momentum Transport in Complex Cloudy Atmospheres Experiment - Level 2

description: The first field campaign from the Tracing Convective Momentum Transport in Complex Cloudy Atmospheres experiment project (CMTRACE) took place in Cabauw, the Netherlands, between September 13th and October 3rd 2021. During this field campaign, two cloud radars and one wind lidar were operated with a similar scanning strategy for deriving wind speed and direction profiles from near the surface up to cloud tops. Here we provide the daily Level 2 data from the campaign. At this level, several processing steps were applied to the Level 1 data from each instrument to minimize the differences between the sampled volumes resampled and temporal and spatial resolution to generate merged profiles of wind speed and direction. The raw dataset is available for the users on request from the corresponding author.