cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.5mzakw
title: Occurrence Download

description: A dataset containing 996976 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "PublishingOrg is one of (ccd1ddc0-6c21-11de-8224-b8a03c50a862, 927f1e70-cf74-11d8-bf68-b8a03c50a862, bc092ff0-02e4-11dc-991f-b8a03c50a862)",
 "TaxonKey is Mammalia"
 ]
}

 The dataset includes 996976 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0034014-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.tykedd
title: Occurrence Download

description: A dataset containing 1022 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-95.62294 39.01519,-95.62294 39.08716,-95.73053 39.08716,-95.73053 39.01519,-95.62294 39.01519))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Magnoliopsida"
 ]
}

 The dataset includes 1022 records from 21 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0034023-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mr3x5q
title: Occurrence Download

description: A dataset containing 600 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is New Zealand",
 "TaxonKey is Medicago lupulina"
 ]
}

 The dataset includes 600 records from 21 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0034024-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17612923
title: acoustic seafloor classification model output GOA 2017

description: Files contain outputs from a ML model described in "Seabed classification in the Gulf of Alaska from acoustic surveys using deep learning " by K. Agarwal, C. Rooper, and K. Williams.  Each row is derived from an acoustic sample collected during the 2017 GOA summer acoustic survey, which is conducted by the NOAA/AFSC. The fields include geographic position, depth, and probability of class membership across five seafloor habitat categories including Sand/Mud, Mixed Coarse, Cobble,    Boulder, and Bedrock. Rugosity represents small scale change in elevation (1 m). The dataset is divided into 6 files for ease of downloading/managing.
DOI: 10.5281/zenodo.17612924
title: acoustic seafloor classification model output GOA 2017

description: Files contain outputs from a ML model described in "Seabed classification in the Gulf of Alaska from acoustic surveys using deep learning " by K. Agarwal, C. Rooper, and K. Williams.  Each row is derived from an acoustic sample collected during the 2017 GOA summer acoustic survey, which is conducted by the NOAA/AFSC. The fields include geographic position, depth, and probability of class membership across five seafloor habitat categories including Sand/Mud, Mixed Coarse, Cobble,    Boulder, and Bedrock. Rugosity represents small scale change in elevation (1 m). The dataset is divided into 6 files for ease of downloading/managing.
DOI: 10.15468/dl.j7barx
title: Occurrence Download

description: A dataset containing 5 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON ((-107.5188 22.34913, -107.3688 22.34913, -107.3688 22.49913, -107.5188 22.49913, -107.5188 22.34913))"
 ]
}

 The dataset includes 5 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0034025-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ydvc72
title: Occurrence Download

description: A dataset containing 6241 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Brazil",
 "OccurrenceStatus is Present",
 "TaxonKey is Rivulidae"
 ]
}

 The dataset includes 6241 records from 86 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0034026-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3886/e113993v1-191413
title: Replication data for: Machine Learning: An Applied Econometric Approach

description: Machines are increasingly doing "intelligent" things. Face recognition algorithms use a large dataset of photos labeled as having a face or not to estimate a function that predicts the presence y of a face from pixels x. This similarity to econometrics raises questions: How do these new empirical tools fit with what we know? As empirical economists, how can we use them? We present a way of thinking about machine learning that gives it its own place in the econometric toolbox. Machine learning not only provides new tools, it solves a different problem. Specifically, machine learning revolves around the problem of prediction, while many economic applications revolve around parameter estimation. So applying machine learning to economics requires finding relevant tasks. Machine learning algorithms are now technically easy to use: you can download convenient packages in R or Python. This also raises the risk that the algorithms are applied naively or their output is misinterpreted. We hope to make them conceptually easier to use by providing a crisper understanding of how these algorithms work, where they excel, and where they can stumble—and thus where they can be most usefully applied.
DOI: 10.6084/m9.figshare.30625229
title: A Structure Model for Relationships between Higher-Order Thinking, Emotional Regulation, and Cognitive Agility for Those with Over-Excitability and Normal Students from Faculty of Education Alexandria University

description: The current research aim to reveal the differences between those with over-excitability and normal in the level of cognitive agility, emotional regulation, and higher-order thinking, test the two proposed structural models to reveal which they are statistically compatible, also explain the direct and indirect effects of cognitive agility on higher-order thinking and emotional regulation, and explain the direct and indirect effects of higher-order thinking on emotional regulation among those with over-excitability and normal from Faculty of Education, Alexandria University students (n= 542). The results revealed that there were statistically significant differences between the average degrees of those with over-excitability and normal in the level of cognitive agility, emotional regulation, and higher-order thinking in favor of those with over-excitability at the level of significance (0.01), as well as a statistical matching of the proposed structural model for those with over-excitability and normal, and the presence of statistically significant differences between those with over-excitability and normal In the effects of the proposed constructivist model, where there was a direct positive effect that was statistically significant for cognitive agility on higher-order thinking at a higher level in the model of those with over-excitability, which amounted to (0.583), while it reached (0.527) in the normal model, as well as a total positive, statistically significant effect of cognitive agility on emotional regulation at a higher level in the model of those with over-excitability, which reached (0.652), while it was in The normal model (0.578), and a direct positive, statistically significant effect of higher-order thinking on emotional regulation was found at a higher level in the model of those with over-excitability, which amounted to (0.621), while it was in the normal model (0.470).
DOI: 10.6084/m9.figshare.30625229.v1
title: A Structure Model for Relationships between Higher-Order Thinking, Emotional Regulation, and Cognitive Agility for Those with Over-Excitability and Normal Students from Faculty of Education Alexandria University

description: The current research aim to reveal the differences between those with over-excitability and normal in the level of cognitive agility, emotional regulation, and higher-order thinking, test the two proposed structural models to reveal which they are statistically compatible, also explain the direct and indirect effects of cognitive agility on higher-order thinking and emotional regulation, and explain the direct and indirect effects of higher-order thinking on emotional regulation among those with over-excitability and normal from Faculty of Education, Alexandria University students (n= 542). The results revealed that there were statistically significant differences between the average degrees of those with over-excitability and normal in the level of cognitive agility, emotional regulation, and higher-order thinking in favor of those with over-excitability at the level of significance (0.01), as well as a statistical matching of the proposed structural model for those with over-excitability and normal, and the presence of statistically significant differences between those with over-excitability and normal In the effects of the proposed constructivist model, where there was a direct positive effect that was statistically significant for cognitive agility on higher-order thinking at a higher level in the model of those with over-excitability, which amounted to (0.583), while it reached (0.527) in the normal model, as well as a total positive, statistically significant effect of cognitive agility on emotional regulation at a higher level in the model of those with over-excitability, which reached (0.652), while it was in The normal model (0.578), and a direct positive, statistically significant effect of higher-order thinking on emotional regulation was found at a higher level in the model of those with over-excitability, which amounted to (0.621), while it was in the normal model (0.470).
DOI: 10.15468/dl.njv5v2
title: Occurrence Download

description: A dataset containing 107 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Observation, Human Observation, Material sample, Living Specimen, Occurrence evidence)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Calomyscidae"
 ]
}

 The dataset includes 107 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0034027-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9g458d
title: Occurrence Download

description: A dataset containing 6 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON ((-107.3688 22.34913, -107.2188 22.34913, -107.2188 22.49913, -107.3688 22.49913, -107.3688 22.34913))"
 ]
}

 The dataset includes 6 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0034029-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.82522/g2b7-g895
title: RGB & Thermal dataset using UAV of the Occhibolleri gas manifestations (Monti Livornesi, Tuscany, Italy)

description: Survey of an area of approximately 7.5 ha, divided into two flights performed with a DJI Mavic 3T drone. The drone used is equipped with two payloads: one RGB and one thermal. 
A total of 2090 georeferenced frames were acquired between RGB and thermal. The individual thermal shots were then converted to raw thermal images using DJI Image Processor software. The two layers contained in this dataset were generated using METASHAPE software.
The thermal dataset was aquired to characterize the temperature of the CO2 degassing area sourranding the Occhibolleri natural gas manifestations. The RGB dataset was aquired to identify the vegetation died off area connected with high CO2 fluxes.
description: The total flight time is 37 minutes and 48 seconds. The two flights were programmed using UgCS (Universal Ground Control Station) software. Thanks to the DJI PILOT 2 application, installed on the radio control, automatic flights were performed at an altitude of 38m AGL. The cruising speed was set at 3 m/s, ensuring a frontal overlap of 75%, while setting the distance between parallel transects at 11 m resulted in an overlap of 70%.
The RGB sensor features a 1/2" CMOS sensor with 48 effective megapixels and an FOV of 84°, while the thermal sensor is an uncooled VOx microbolometer with a resolution of 640×512 pixels at 30 fps.
The RGB layer has a resolution of 1.33 cm/pixel, while the thermal layer has a resolution of 5 cm/pixel.
DOI: 10.15468/dl.qb6u6f
title: Occurrence Download

description: A dataset containing 128 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is Distribution of Cuban Plants",
 "TaxonKey is Lentibulariaceae"
 ]
}

 The dataset includes 128 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0034030-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.kymq4s
title: Occurrence Download

description: A dataset containing 286457 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-74.05675 40.49942,-74.05675 40.64851,-74.25518 40.64851,-74.25518 40.49942,-74.05675 40.49942))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Magnoliopsida"
 ]
}

 The dataset includes 286457 records from 50 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0034000-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.a5wzhx
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON ((-107.2188 22.34913, -107.0688 22.34913, -107.0688 22.49913, -107.2188 22.49913, -107.2188 22.34913))"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0034031-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xvbsdx
title: Occurrence Download

description: A dataset containing 192 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Observation, Human Observation, Material sample, Living Specimen, Occurrence evidence)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Capromyidae"
 ]
}

 The dataset includes 192 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0034033-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.huhtxy
title: Occurrence Download

description: A dataset containing 49741 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Distribution of Cuban Plants"
 ]
}

 The dataset includes 49741 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0034032-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.uvek4v
title: Occurrence Download

description: A dataset containing 0 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 Plethodon cinereus",
 "Country is United States of America",
 "Geometry POLYGON ((-124.762779 24.520416, -124.762779 49.383297, -66.948891 49.383297, -66.948891 24.520416, -124.762779 24.520416))",
 "CoordinateUncertaintyInMeters is less than 5000"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0034020-251025141854904/datasets/export for details.
DOI: 10.15468/dl.jxtbse
title: Occurrence Download

description: A dataset containing 28 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON ((-107.0688 22.34913, -106.9188 22.34913, -106.9188 22.49913, -107.0688 22.49913, -107.0688 22.34913))"
 ]
}

 The dataset includes 28 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0034036-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ufmzqs
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Pueraria phaseoloides",
 "Country is Saint Vincent and the Grenadines",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024847-250811113504898/datasets/export for details.
DOI: 10.15468/dl.jgdv5d
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Pueraria phaseoloides",
 "Country is Samoa",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024848-250811113504898/datasets/export for details.
DOI: 10.5281/zenodo.18357735
title: Maxsus pedagogik jarayon  orqali bolalarning og'zaki nutqini  faollashtirish usullari

description: Ushbu maqolada maxsus pedagogik jarayon orqali nutqida kamchiliklari bo‘lgan bolalarning og‘zaki nutqini faollashtirish masalalari yoritilgan. Nutqni faollashtirishda qo‘llaniladigan logopedik, psixologik va didaktik usullar, shuningdek, o‘yin texnologiyalari, logoritmik mashg‘ulotlar va individual yondashuvning ahamiyati tahlil qilingan. Maqolada amaliy misollar orqali bolalarda nutq faolligini oshirishda samarali metodlar keltirilgan.
DOI: 10.5281/zenodo.18357734
title: Maxsus pedagogik jarayon  orqali bolalarning og'zaki nutqini  faollashtirish usullari

description: Ushbu maqolada maxsus pedagogik jarayon orqali nutqida kamchiliklari bo‘lgan bolalarning og‘zaki nutqini faollashtirish masalalari yoritilgan. Nutqni faollashtirishda qo‘llaniladigan logopedik, psixologik va didaktik usullar, shuningdek, o‘yin texnologiyalari, logoritmik mashg‘ulotlar va individual yondashuvning ahamiyati tahlil qilingan. Maqolada amaliy misollar orqali bolalarda nutq faolligini oshirishda samarali metodlar keltirilgan.
DOI: 10.15468/dl.r6523d
title: Occurrence Download

description: A dataset containing 36 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Ameghinoa patagonica",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Specimen)"
 ]
}

 The dataset includes 36 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008840-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34740/kaggle/dsv/14599100
title: Peer-to-Peer Boliviano (BOB) Exchange Data
DOI: 10.15468/dl.egfyy5
title: Occurrence Download

description: A dataset containing 69 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Amellus tenuifolius",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Specimen)"
 ]
}

 The dataset includes 69 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008841-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18357742
title: PSYCHOLOGICAL DETERMINANTS OF DIGITAL WORK ENGAGEMENT                   AMONG GEN Z

description: This study explores the psychological processes that shape digital work engagement among Generation Z employees in remote and digitally mediated work environments. The primary objective is to examine how perceived isolation, psychological resilience, and perceived organizational support influence employees’ engagement, as well as to investigate the proposed mediating and moderating mechanisms among these psychological constructs. Using a quantitative research design, survey data were collected from 300 Generation Z employees who routinely perform their work through digital platforms. Data analysis was conducted using Structural Equation Modeling with Partial Least Squares (SEM-PLS) to assess the measurement and structural relationships. The results demonstrate that psychological resilience and perceived organizational support have significant positive effects on digital work engagement, indicating that engagement in digital work contexts is strongly associated with employees’ internal coping capacities and their psychological perception of being valued and supported by the organization. Conversely, perceived isolation does not exhibit a significant direct effect on engagement, suggesting that feelings of isolation do not automatically translate into disengagement when individuals possess sufficient psychological and organizational resources. Furthermore, the hypothesized mediating role of psychological resilience and moderating role of organizational support are not supported, indicating that these resources function primarily as direct psychological enablers rather than as buffering mechanisms. The model explains a substantial proportion of variance in digital work engagement, reflecting its explanatory adequacy. This study offers originality by framing digital work engagement as a psychological experience rooted in resilience, perceived support, and subjective meaning, rather than merely a behavioral or technological outcome. The findings highlight the importance of psychologically informed organizational practices to sustain engagement and well-being among Generation Z in contemporary digital work settings.