cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.ft4jhg
title: Occurrence Download

description: A dataset containing 1665 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-122.83756 57.34185,-122.814 57.35157,-122.78838 57.37581,-122.78273 57.3923,-122.7799 57.40832,-122.7832 57.42952,-122.78461 57.44082,-122.78932 57.4493,-122.80129 57.46376,-122.81429 57.47993,-122.82654 57.48794,-122.84727 57.49736,-122.85887 57.49891,-122.8585 57.51386,-122.86299 57.5378,-122.88206 57.55163,-122.91833 57.56809,-122.93852 57.56285,-122.94899 57.55388,-122.9647 57.54004,-122.97816 57.5176,-122.9819 57.49031,-122.96994 57.47385,-122.94712 57.46749,-122.93553 57.46338,-122.94424 57.44471,-122.95037 57.41974,-122.94236 57.38958,-122.92022 57.35896,-122.88205 57.34483,-122.83756 57.34185))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 1665 records from 45 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008081-250227182430271/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.crmu3b
title: Occurrence Download

description: A dataset containing 14 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Mexico",
 "TaxonKey is Pinus martinezii E.Larsen"
 ]
}

 The dataset includes 14 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008082-250227182430271/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.pqthvc
title: Occurrence Download

description: A dataset containing 2480 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Prionailurus bengalensis (Kerr, 1792)"
 ]
}

 The dataset includes 2480 records from 93 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008084-250227182430271/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/7gzd935fvy.1
title: Atlasprofilax: A New Promising Treatment for Chronic Cervicobrachialgia. A Qualitative-Quantitative Research of a Retrospective Longitudinal Section, with a Cause-Effect Approach Approach
DOI: 10.17632/98ft594rmw.1
title: Farmer Data

description: The data contain descriptions of the farmers and the number of their harvest
DOI: 10.15468/dl.3qhj2m
title: Occurrence Download

description: A dataset containing 3798 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Fimbristylis littoralis Gaudich.)",
 "BasisOfRecord is one of (Specimen, Human Observation, Observation, Living Specimen, Machine Observation, Literature Occurrence)",
 "Geometry POLYGON((-180 -90,180 -90,180 90,-180 90,-180 -90))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1945"
 ]
}

 The dataset includes 3798 records from 200 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008085-250227182430271/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14989582
title: Lumen-associated microbiota raw data related to the article "Gut microbiota and metabolome signatures in obese and normal-weight patients with colorectal tumors"
DOI: 10.5281/zenodo.14989583
title: Lumen-associated microbiota raw data related to the article "Gut microbiota and metabolome signatures in obese and normal-weight patients with colorectal tumors"
DOI: 10.17632/f8wpnybszg
title: System Images

description: Images of TeamStation AI platform in action building nearshore teams
DOI: 10.17632/f8wpnybszg.1
title: System Images

description: Images of TeamStation AI platform in action building nearshore teams
DOI: 10.15468/dl.5kvmy7
title: Occurrence Download

description: A dataset containing 427 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Ferocactus robustus (Karw. ex Pfeiff.) Britton & Rose"
 ]
}

 The dataset includes 427 records from 45 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007995-250227182400228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5519/qd.06429kgl
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (657 records)
DOI: 10.17632/cn3fwcfk5x.1
title: LATAM IT Salaries by TEamStation AI Nearshore IT Staff Augmentation AI Platform

description: TeamStation AI System Report on LATAM IT Salaries 2024
A Comprehensive Analysis of Salary Trends in Latin America’s IT Sector

Introduction
The 2024 TeamStation AI Salary Report provides a comprehensive analysis of IT salary structures in 19 Latin American countries, offering scientific insights into compensation trends across various job roles, experience levels, and contract types. This report leverages 1,521 salary records collected from real hiring data, offering the most precise, non-biased compensation insights in the region​

Key Findings
1. Salary Breakdown by Country
Three countries lead in IT talent representation:

🇲🇽 Mexico
🇨🇴 Colombia
🇦🇷 Argentina
Brazil and Chile also emerge as key players, showcasing robust demand for high-level AI, ML, and DevOps professionals. Meanwhile, Uruguay and Costa Rica provide a cost-effective alternative for high-skilled developers​

2. Role-Based Salary Trends
The six most common roles in the LATAM IT market are:

Full-Stack Developer
Front-End Developer
Back-End Developer
App Developer
DevOps Engineer
Data Engineer
Additionally, AI, MLOps, and Cloud Engineers are seeing increasing demand, commanding salaries up to 60% higher than other IT positions​

3. Salary Ranges by Experience Level
Salaries vary significantly based on seniority and contract type:

Junior Developers: $10,000 – $30,000 per year
Mid-Level Developers: $20,000 – $50,000 per year
Senior Developers: $25,000 – $100,000 per year (with some AI engineers exceeding this range)
Full-time contracts pay the highest salaries, while freelance engagements have lower total compensation, but can reach premium rates for niche AI/ML expertise​

4. Key Statistical Insights
Average salary across all roles: $30,470.02 USD
Standard deviation: $56,817.32 USD (showing large variances based on expertise and role)
Minimum salary recorded: $500 USD
Maximum salary recorded: $800,000 USD
Salary percentiles:
25th percentile: $7,000 USD
50th percentile (median): $16,300 USD
75th percentile: $36,000 USD
These figures indicate a wide salary stratification, especially for senior roles and AI-related positions​
.

5. Contract Type & Compensation
Salaries vary based on contract type:

Full-time developers earn higher base salaries with benefits.
Freelancers earn lower annual salaries but some charge premium hourly rates in AI, Cloud, and DevOps.
Mid and senior-level engineers prefer full-time contracts for higher pay and stability​
.
Regional Salary Insights
Highest-paying regions: 🇨🇱 Chile, 🇧🇷 Brazil, 🇲🇽 Mexico.
Mid-range salaries: 🇨🇴 Colombia, 🇦🇷 Argentina.
Cost-effective hiring: 🇺🇾 Uruguay, 🇨🇷 Costa Rica​
.
Strategic Takeaways
AI & MLOps engineers are the most expensive to hire in Mexico, Brazil, and Chile.
Cloud, DevOps, and AI roles are seeing the fastest growth in salary demand.
Best locations for cost-effective hiring: Colombia, Argentina, Uruguay.
AI-driven hiring platforms like TeamStation AI reduce time-to-hire and salary mismatches​
DOI: 10.15468/dl.ke6e5e
title: Occurrence Download

description: A dataset containing 1526 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Mexico",
 "OccurrenceStatus is Present",
 "TaxonKey is Lepidochelys kempii Garman, 1880"
 ]
}

 The dataset includes 1526 records from 33 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008086-250227182430271/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/zm92c57g5n.1
title: Dobrica 2025 - Shock Metamorphic Effects in Phosphates from Ordinary Chondrites

description: Energy-Dispersive X-Ray Spectroscopy
DOI: 10.5285/2ee5ff1c-da6d-81d4-e063-7086abc0652a
title: South Asian Nitrogen Hub Regional Marine Biogeochemistry Model hindcast runs under three nitrogen production scenarios (2004-2020)

description: This dataset contains outputs of three simulations from an ocean-biogeochemistry (NEMO v.4.0.4 - ERSEM) model over the South East Asia region. Atmospheric forcing is provided by ERA5, with lateral ocean boundaries from the CMEMS global forecast. Biogeochemical tracers are initialised and forced by a combination of world ocean atlas, GloDAP, and OC-CCI data. The output is provided as daily and monthly files on a {t,u,v,w}-grid. Additional monthly output used in the construction of a nitrogen budget is also provided. Three different simulations were run with varying river input and nitrogen deposition: 1) under current legislation conditions (at the time of publication), which include projected trends of activity and change in environmental factors to include the impact of recent legislation (for example the mandatory use of Neem Coated Urea); 2) under maximum technically feasible reduction in overall nitrogen production conditions, including the projected trends of activity, the impact of current legislation (e.g. neem coated urea), along with further reductions such as the amount of permissible nitrogen pollution from fertilizer use and reduced emissions from housing; 3) under maximum technically feasible reduction in overall nitrogen production plus a change in human diet conditions, including the projected trends of activity, the impact of current legislation, along with further reductions such as the amount of permissible nitrogen pollution from fertilizer use and reduced emissions from housing, and the additional assumption of an overall change in human diet towards foods that produce less nitrogen during their production. The simulations are performed as hindcasts but are used to assess future behaviour under a given scenario. The model configuration is named SAsia. The outputs were generated under the South Asian Nitrogen Hub (SANH; NE/S009019/1) project.
DOI: 10.21227/b49m-eq96
title: Data for Single Stage DC-AC Boost Inverter-Based Perturbation Technique for Online Impedance Spectroscopy Measurements of Photovoltaic Panels

description: Traditional online impedance spectroscopy measurements of PV cells are achieved through two-stage DC-DC-AC power conversion topologies where the input DC-DC boost converter stage is utilized for power regulation and injecting small signal AC perturbations for EIS measurements. It is easily achieved because the DC-DC boost converter can be simply controlled by small signal linear models. However, due to increased power losses, high weight and cost in the two-stage topologies, single stage boost DC-AC power conversion has become an increased subject of research area. Although the single stage topologies have gained popularity for their compactness, high voltage gain and efficiency, it has not been extended to include online EIS diagnostic functionality for the PV device as done in the two stage DC-DC-AC topology. This could be due to high input current and voltage variations/ripples in DC-AC inverters which makes it difficult to establish steady state conditions for EIS measurements. In this research, we propose a type of single stage inverter, called the simplified split-source boost inverter which presents the ability to produce continuous input waveforms desirable to support EIS measurements. EIS excitation techniques for the proposed topology to ensure simple and effective online impedance spectroscopy estimation of PV cells are discussed. Simulation and experimental results validate the proposed method.
DOI: 10.5281/zenodo.14989815
title: Metabolome raw data related to the article "Gut microbiota and metabolome signatures in obese and normal-weight patients with colorectal tumors"
title: Metabolome raw data (fecal data in sheet1, mucosal data in sheet2, volcano plots in sheet3)
DOI: 10.5281/zenodo.14989816
title: Metabolome raw data related to the article "Gut microbiota and metabolome signatures in obese and normal-weight patients with colorectal tumors"
title: Metabolome raw data (fecal data in sheet1, mucosal data in sheet2, volcano plots in sheet3)
DOI: 10.17632/7v8tyy9nj6.1
title: Eye-tracking Experiment 1 and 2

description: This visual-world eye-tracking study examines listeners' strategies and patterns in using and integrating multiple language cues during real-time spoken sentence comprehension of their first language (L1) and second language (L2). Listener listened to English (Experiment 1) and Mandarin (Experiment 2) sentences within a brief discourse context, while their gazes were tracked as they viewed a display of four objects. Each trial began with a statement naming one of the objects (\emph{Here is a cabbage}), after which a second sentence described an action (\emph{Now Susan will shred the cabbage after school}). Participants were instructed to click on the object named in the second sentence. These sentences varied in three binary factors: whether the the target object carried prosodic pitch accent or not; whether the target object was old in the first statement and the target sentence, or new in the second sentence; and whether the preceding verb was semantically appropriate for the target object. Results revealed that both L1 and L2 listeners, in both English and Mandarin, adopted similar cue integration strategies when they were listening to sentences containing a old noun. When sentences contained a new target noun, however, L1 and L2 listeners differed. L1 listeners were sensitive to both semantic and prosodic information and interactively combined them across a variety of contexts. In contrast, L2 listeners showed a reduced ability to integrate different cues, with their performance influenced by the specific prosodic systems of English and Mandarin.
DOI: 10.17632/gmtrn3x6yw.1
title: hnRNPUL1-AS

description: In previous studies, we verified that nonylphenols (NPs) facilitate the occurrence of allergic rhinitis (AR). By analyzing data from the Gene Expression Omnibus database and subsequent verification with clinical samples, we confirmed that the A3SS alternative splicing of TRAF2 and NCK interacting kinase (TNIK) plays a significant role in AR. Meanwhile, we discovered that NP could suppress the expression of hnRNPUL1 and increase the alternative splicing ratio of TNIK in the nasal mucosa of mice. Further studies revealed that downregulation of the splicing factor hnRNPUL1 promoted A3SS alternative splicing in TNIK, leading to the deposition of β-catenin in nasal mucosa tissue and enhanced binding of β-catenin with TCF1 and TCF4. This binding, in turn, increased the expression of GATA3 and decreased that of Th1 cell transcription factor T-bet and Treg cell transcription factor Foxp3, driving the immune response towards Th2 polarization. A mere increase in β-catenin expression sufficiently promoted the proliferation of all helper T cell subsets; however, it did not induce any changes in Th cell differentiation. Under NP intervention, the expression of hnRNPUL1 was more reduced, Th2 polarization in local tissues was more pronounced, and symptoms in mice were more severe than under non-NP intervention. These findings confirm that NP intake can interfere with the transcription process and exacerbate the development of AR.
DOI: 10.17632/t2666hktdn.1
title: Risk of Smartphone or tablet Problematic Use in Preschoolers

description: The increasing integration of smartphones and tablets into daily life has led to greater screen exposure among preschool-aged children. Since early childhood is a crucial period for cognitive and social development, excessive screen time poses a potential public health concern. This study examined factors influencing screen time in children aged 1–5 years across 31 countries. Using Ordinary Least Squares regression analysis, researchers assessed household composition, parental characteristics, and child-specific factors. The model explained 42% of the variance in children’s screen time, with parental device-giving frequency emerging as the strongest predictor. Older children and those in larger households had higher screen exposure, while maternal supervision was associated with lower screen time. However, factors like parental age, household adult count, biological sex, and temperament were not significant predictors. These findings highlight the critical role of parental behavior and family structure in shaping children's screen habits. To promote balanced screen use, parental interventions should address device-giving frequency and adapt screen time guidelines to modern technological realities.
DOI: 10.17632/cgf9z2kbn4.1
title: Abductees-Rescue: 3D Hand Landmarks Dataset for Real-Time Abduction Detection in Surveillance Systems

description: This work has been comprised of creating a 3D hand landmarks dataset for real-time detection of abduction cases through surveillance systems using the MediaPipe Hands framework. The dataset has been represented in two categories of 3D hand landmark gestures: normal hand gestures labeled with a "0" classlable and specific gestures indicating potential abduction cases labeled with a "1" classlable. The 3D hand landmarks have been extracted after applying MediaPipe on 4545 videos of normal hand gestures and 4566 videos of abduction cases hand gestures. These videos of hand gestures have been cropped from custom-recorded videos by volunteers specifically for creating this dataset using a developed algorithm for this purpose. Each cropped video contains 45 frames. Each frame contains one hand represented in 21 keypoint landmarks providing X, Y, and Z coordinates, creating a three-dimensional representation of the hand pose (palm and fingers) in this frame.
These custom-videos have been recorded using surveillance cameras mounted at a standard 3-meter height across various environmental conditions, including different lighting scenarios (day/night) and distances up to 17 meters from the surveillance camera. The developping algorithm has been applied to track and crop hand gestures from the custom-videos and save them into new videos as mentioned appove and categorized into two groups 0 and 1. Augmentation techniques have been applied on the new videos to enhance dataset diversity via geometric transformations and visual quality adjustments.Then, the MediaPipe hands framwork had applying on the cropped videos to exctact the 3D hand landmarks. Finally, applying normalization tehcnique on the resulting PKL file of hands landmarks that contain all hands landmarks with their classlables (0 and 1), normalized to range [-1 : 1] to let the researchers deal directly with this dataset in bulding their models of machine learning etc,.
Interested researchers could utilize this dataset to develop and train AI models for identifying potential abduction cases through hand gesture recognition in surveillance systems. The data is particularly valuable in scenarios where verbal communication is not feasible. Moreover, the structure of this dataset allows for direct application in training deep learning algorithms or feature extraction for machine learning models, enabling the development of real-time surveillance systems capable of recognizing sign requests for help through hand gestures.
DOI: 10.15468/dl.grnnfs
title: Occurrence Download

description: A dataset containing 2150 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Nymphaea nouchali Burm.fil.",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Human Observation, Living Specimen, Occurrence evidence)"
 ]
}

 The dataset includes 2150 records from 33 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008087-250227182430271/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.cj6kmh
title: Occurrence Download

description: A dataset containing 604 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "TaxonKey is Trizeuxis falcata Lindl."
 ]
}

 The dataset includes 604 records from 105 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008091-250227182430271/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mcg2q7
title: Occurrence Download

description: A dataset containing 8550 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Europe",
 "DatasetKey is Swiss National Butterflies and Forester Moths Databank",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Parnassius apollo (Linnaeus, 1758)",
 "Year 2010-2025"
 ]
}

 The dataset includes 8550 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008090-250227182430271/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vcchju
title: Occurrence Download

description: A dataset containing 1867 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Firmiana simplex (L.) W.Wight)",
 "BasisOfRecord is one of (Specimen, Human Observation, Observation, Living Specimen, Machine Observation, Literature Occurrence)",
 "Geometry POLYGON((-180 -90,180 -90,180 90,-180 90,-180 -90))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1945"
 ]
}

 The dataset includes 1867 records from 112 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008089-250227182430271/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qvsfvh
title: Occurrence Download

description: A dataset containing 26791 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Europe",
 "DatasetKey is Artportalen",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Parnassius apollo (Linnaeus, 1758)",
 "Year 2010-2025"
 ]
}

 The dataset includes 26791 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008088-250227182430271/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.c8wydb
title: Occurrence Download

description: A dataset containing 67 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "TaxonKey is Trichosalpinx pusilla (Kunth) Luer"
 ]
}

 The dataset includes 67 records from 16 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007997-250227182400228/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/km9w9pmkgz.1
title: Misery Index and Exchange Rate: Data for Mexico

description: This dataset contains series of the bilateral real exchange rate of Mexico with the U.S., unemployment and the national price consumer index. These data were retrieved to estimate an unrestricted VAR model to analyze the relationship between the mentioned variables. It contains an EViews file with the mentioned VAR.