cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.m7bw4m
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Oreochromis aureus",
 "Country is China",
 "HasCoordinate is true"
 ]
}

 The dataset includes 2 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026403-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.pch5bb
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Oreochromis aureus",
 "Country is Costa Rica",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026404-250811113504898/datasets/export for details.
DOI: 10.15468/dl.v6hsbr
title: Occurrence Download

description: A dataset containing 131281 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "TaxonKey is Valeriana dioica"
 ]
}

 The dataset includes 131281 records from 827 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026308-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.e4v5zr
title: Occurrence Download

description: A dataset containing 2458717801 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Ameiva Meyer, 1795, Ameivula confusioniba (Arias, De Carvalho, Rodrigues & Zaher, 2011), Ameivula ocellifera (Spix, 1825), Ameivula xacriaba Arias, Texeira Jr., Recoder, Carvalho, Zaher & Rodrigues, 2014, Brasiliscincus caissara (Reboucas-Spieker, 1974), Brasiliscincus heathi (Schmidt & Inger, 1951), Calyptommatus confusionibus Rodrigues, Zaher & Curcio, 2001, Coleodactylus brachystoma (Amaral, 1935), Coleodactylus meridionalis (Boulenger, 1888), Colobosaura modesta (Reinhardt & Lütken, 1862), Colobosauroides carvalhoi Soares & Caramaschi, 1998, Colobosauroides cearensis Cunha, Lima-Verde & Lima, 1991, Copeoglossum arajara (Reboucas-Spieker, 1981), Copeoglossum nigropunctatum (Spix, 1825), Enyalius bibronii Boulenger, 1885, Glaucomastix venetacauda (Arias, De Carvalho, Rodrigues & Zaher, 2011), Gonatodes humeralis (Guichenot, 1855), Gymnodactylus amarali Barbour, 1925, Gymnodactylus geckoides Spix, 1825, Hemidactylus agrius Vanzolini, 1978, Hemidactylus brasilianus Amaral, 1935, Hemidactylus mabouia (Moreau De Jonnès, 1818), Hoplocercus spinosus Fitzinger, 1843, Iguana Laurenti, 1768, Kentropyx calcarata Spix, 1825, Lygodactylus klugei (Smith, Martin & Swain, 1977), Micrablepharus maximiliani (Reinhardt & Lütken, 1862), Norops brasiliensis (Vanzolini & Williams, 1970), Animalia, Nothobachia ablephara Rodrigues, 1984, Notomabuya frenata (Cope, 1862), Phyllopezus pollicaris (Spix, 1825), Polychrus acutirostris Spix, 1825, Procellosaurinus erythrocercus Rodrigues, 1991, Salvator merianae Duméril & Bibron, 1839, Stenocercus squarrosus Nogueira & Rodrigues, 2006, Tropidurus helenae (Manzani & Abe, 1990), Tropidurus hispidus (Spix, 1825), Tropidurus jaguaribanus Passos, Lima & Borges-Nojosa, 2011, Tropidurus oreadicus Rodrigues, 1987, Tropidurus semitaeniatus (Spix, 1825), Tupinambis quadrilineatus Manzani & Abe, 1997, Tupinambis teguixin (Linnaeus, 1758), Vanzosaura multiscutata (Amaral, 1933))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 2458717801 records from 46395 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010391-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.x6jejj
title: Occurrence Download

description: A dataset containing 577 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Spain",
 "Geometry POLYGON((-9.86289 35.17181,4.89491 37.36167,4.94252 42.16986,-9.72007 44.88339,-9.86289 35.17181))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Physalia physalis"
 ]
}

 The dataset includes 577 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000582-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hnqr8r
title: Occurrence Download

description: A dataset containing 65 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Mexico",
 "OccurrenceStatus is Present",
 "TaxonKey is Canis lupus baileyi",
 "Year 2000-2025"
 ]
}

 The dataset includes 65 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000583-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18419941
title: PAT Scheme Impact and Carbon Liability Analysis for 48 Refineries in India and ASEAN: Facility-Level Data and Replication Code

description: This repository provides complete replication packages for five interconnected studies on carbon pricing and refinery decarbonization in India and ASEAN.

STUDIES INCLUDED:

1. PAT SCHEME ECONOMETRIC ANALYSIS- Staggered difference-in-differences estimation- Finding: 24.1% reduction in specific energy consumption- 117 refinery-years (23 refineries, 2012-2024)- 115 million tonnes CO2 avoided

2. INDIA CARBON LIABILITY ACCOUNTING- First systematic quantification for Indian refineries- Base case: $13.1 billion total liability- Government exposure: $17.7 billion through PSU ownership- 6 scenarios × 4 pathways × 3 discount rates

3. INDIA REFINERY EMISSIONS DATABASE- First facility-level dataset for 23 Indian refineries- Sources: PAT scheme, Climate TRACE, company disclosures- 87.7% validation score- 55 CSV files with data dictionaries

4. TRANSITION PATHWAY MODELING- Cliff-year analysis under Paris-aligned scenarios- Decarbonization pathways 2025-2050- Employment and regional impact assessment

5. ASEAN REGIONAL ANALYSIS- 25 refineries across Singapore, Thailand, Indonesia, Malaysia, Vietnam- Regional liability: $20.3 billion- Novel finding: Ownership structure predicts policy stringency

KEY METRICS:- 48 refineries analyzed- $33.4 billion total carbon liability- 45+ Python scripts- 58+ CSV data files- Full methodology documentation

REPOSITORY STRUCTURE:- zenodo_upload/ - PAT scheme replication package- india-refinery-carbon-liability/ - Liability calculations- india-refinery-emissions/ - Emissions database- india-refinery-transition-analysis/ - Pathway modeling- asean-refinery-carbon-analysis/ - Regional analysis

All code runs on standard hardware (16GB RAM) using publicly available data.

Contact: bosco8b4824@gmail.comORCID: https://orcid.org/0009-0001-8456-5302
DOI: 10.5281/zenodo.18419942
title: PAT Scheme Impact and Carbon Liability Analysis for 48 Refineries in India and ASEAN: Facility-Level Data and Replication Code

description: This repository provides complete replication packages for five interconnected studies on carbon pricing and refinery decarbonization in India and ASEAN.

STUDIES INCLUDED:

1. PAT SCHEME ECONOMETRIC ANALYSIS- Staggered difference-in-differences estimation- Finding: 24.1% reduction in specific energy consumption- 117 refinery-years (23 refineries, 2012-2024)- 115 million tonnes CO2 avoided

2. INDIA CARBON LIABILITY ACCOUNTING- First systematic quantification for Indian refineries- Base case: $13.1 billion total liability- Government exposure: $17.7 billion through PSU ownership- 6 scenarios × 4 pathways × 3 discount rates

3. INDIA REFINERY EMISSIONS DATABASE- First facility-level dataset for 23 Indian refineries- Sources: PAT scheme, Climate TRACE, company disclosures- 87.7% validation score- 55 CSV files with data dictionaries

4. TRANSITION PATHWAY MODELING- Cliff-year analysis under Paris-aligned scenarios- Decarbonization pathways 2025-2050- Employment and regional impact assessment

5. ASEAN REGIONAL ANALYSIS- 25 refineries across Singapore, Thailand, Indonesia, Malaysia, Vietnam- Regional liability: $20.3 billion- Novel finding: Ownership structure predicts policy stringency

KEY METRICS:- 48 refineries analyzed- $33.4 billion total carbon liability- 45+ Python scripts- 58+ CSV data files- Full methodology documentation

REPOSITORY STRUCTURE:- zenodo_upload/ - PAT scheme replication package- india-refinery-carbon-liability/ - Liability calculations- india-refinery-emissions/ - Emissions database- india-refinery-transition-analysis/ - Pathway modeling- asean-refinery-carbon-analysis/ - Regional analysis

All code runs on standard hardware (16GB RAM) using publicly available data.

Contact: bosco8b4824@gmail.comORCID: https://orcid.org/0009-0001-8456-5302
DOI: 10.15468/dl.bmtp3h
title: Occurrence Download

description: A dataset containing 14 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Alyssopsis mollis",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Specimen)"
 ]
}

 The dataset includes 14 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000585-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fehznc
title: Occurrence Download

description: A dataset containing 50 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-53.56141 -25.02799,-53.53505 -25.01366,-53.53571 -24.98081,-53.5278 -24.94795,-53.5166 -24.89058,-53.52846 -24.88042,-53.54032 -24.86966,-53.55548 -24.85411,-53.57854 -24.84514,-53.61017 -24.82301,-53.62797 -24.82122,-53.64246 -24.81165,-53.65894 -24.7961,-53.67014 -24.76918,-53.69518 -24.77695,-53.69188 -24.79012,-53.682 -24.80866,-53.66025 -24.83438,-53.64312 -24.84514,-53.62401 -24.85291,-53.59831 -24.86846,-53.57591 -24.8852,-53.54823 -24.90791,-53.54955 -24.93062,-53.56273 -24.95392,-53.57327 -24.97543,-53.57129 -24.99514,-53.56141 -25.02799))",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 50 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000584-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bf35vu
title: Occurrence Download

description: A dataset containing 929 records in GBIF matching the query:
SELECT
 '604' AS fish_cell,
 GBIF_MGRSCode(1000, decimalLatitude, decimalLongitude, 0) AS cell, -- NO randomization
 COUNT(DISTINCT speciesKey) AS species_richness
 FROM occurrence
 WHERE hasCoordinate = TRUE
 AND speciesKey IS NOT NULL
 AND NOT ARRAY_CONTAINS(issue, 'ZERO_COORDINATE')
 AND NOT ARRAY_CONTAINS(issue, 'COORDINATE_OUT_OF_RANGE')
 AND NOT ARRAY_CONTAINS(issue, 'COORDINATE_INVALID')
 AND NOT ARRAY_CONTAINS(issue, 'COUNTRY_COORDINATE_MISMATCH')
 AND decimalLatitude &gt;= 66.79314043790278
 AND decimalLatitude &lt;= 72.77152049497572
 AND decimalLongitude &gt;= -107.99952700325146
 AND decimalLongitude &lt;= -80.82035306668871
 AND "year" &gt;= 2015
 AND "year" &lt;= 2026
 AND (coordinateUncertaintyInMeters &lt;= 100 OR coordinateUncertaintyInMeters IS NULL)
 GROUP BY fish_cell, cell

 The dataset's 929 records were derived from 29 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000444-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17909/rpfm-6138
title: CHILES XI: Resolved HI morphologies and the evolution of the H2 / HI ratio over the last five billion years

description: We present the neutral gas morphology of four galaxies from z = 0.22 to 0.47 obtained with the COSMOS HI Large Extragalactic Survey (CHILES). The HI is resolved at the highest redshift with the 7.5 arcsec beam of CHILES and 43 kpc linear scale, with all four galaxies having extended HI. Three are massive galaxies (Mstellar > 3 e10 Mo), with HI masses of 1.6 - 6.7 e10 Mo, and active star formation (3 - 30 Mo/yr). The morphology and kinematics of the galaxies vary from regular to disturbed, including an asymmetric HI disk surrounding the fourth smaller galaxy (Mstellar ~ e9 Mo). CO(1-0) observations of the sample, obtained with the LMT, confirm the redshifts of three of the four galaxies and we derive H2 masses of 0.4 - 5.2 e10 Mo. JWST imaging with four combined NIRCam filters reveals disturbed stellar components with compact knots in two of the galaxies. We combine our new higher-redshift galaxies with previously published observations to conduct a more complete study of HI and H2 evolution in the redshift range 0 - 0.5. With our HI flux-limited observations compared to similar lower redshift galaxies with high stellar mass (Mstellar > e10 Mo), the results show the mean H2/HI ratio at the highest redshift is 10.3 +- 3.4 larger than the mean H2/HI ratio in the local Universe.
DOI: 10.15468/dl.qgcxk8
title: Occurrence Download

description: A dataset containing 6154 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Ulmus americana",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Country is United States of America",
 "Year is greater than or equal to 1990",
 "Year is less than or equal to 2000"
 ]
}

 The dataset includes 6154 records from 78 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000587-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25824/redu/ir2sgb
title: Dados utilizados na dissertação de mestrado "Metodologia para elaboração de modelos digitais de afloramento e em realidade virtual para partir de dados hiperespectrais e lidar"

description: Dados gerados e processados na dissertação de mestrado de Douglas Bazo de Castro. Os dados correspondem a: 1) modelos 3D de amostras de mão, 2) modelo 3D de afloramento, 3) imagem ortomosaico,
DOI: 10.5281/zenodo.18420238
title: FAKE
DOI: 10.5281/zenodo.18420239
title: FAKE
DOI: 10.15468/dl.59u4t2
title: Occurrence Download

description: A dataset containing 51446690 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Zosterops capensis, Zosterops erythropleurus, Zosterops japonicus, Zosterops japonicus alani, Zosterops japonicus stejnegeri, Zosterops lateralis, Zosterops luteus, Zosterops palpebrosus, Zosterops poliogastrus, Ardea alba, Ardea goliath, Ardeola bacchus, Bostrychia hagedash, Bubulcus ibis, Butorides striata, Egretta novaehollandiae, Eudocimus albus, Eudocimus ruber, Geronticus eremita, Ixobrychus sinensis, Nipponia nippon, Nyctanassa violacea, Nycticorax nycticorax, Pelecanus conspicillatus, Pelecanus crispus, Pelecanus occidentalis, Pelecanus onocrotalus, Pelecanus philippensis, Pelecanus rufescens, Platalea alba, Plegadis ridgwayi, Scopus umbretta, Theristicus caudatus, Theristicus melanopis, Threskiornis aethiopicus, Threskiornis melanocephalus, Threskiornis molucca, Threskiornis spinicollis, Phaethon aethereus, Phoeniconaias minor, Phoenicopterus chilensis, Phoenicopterus roseus, Phoenicopterus ruber, Dendrocopos leucotos, Dendrocopos syriacus, Dendrocoptes medius, Dryocopus martius, Melanerpes carolinus)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 51446690 records from 5801 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000536-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15306080
title: Dataset of records of non-native marine and estuarine species in southern Brazil

description: This dataset is Supplementary Material as part of the scientific paper “Checklist and status of non-native marine and estuarine species from Southern Brazil” This study comprises a detailed survey of presence records of marine and estuarine non-native species in the South region of Brazil, that includes the states of Paraná (PR), Santa Catarina (SC) and Rio Grande do Sul (RS). Records are up to September 2024. For a record, the following information regarding non-native species was extracted: species, type of record (presence), date, source of information (reference, etc.), environment (natural or artificial), habitat, latitude, longitude, state and additional observations. Species nomenclature was updated following WoRMS - World Register of Marine Species.

This is an excel file with four sheets:

Table 1. Check list of non- native species for the Southern region of Brazil: Species record number; Occurs in Southern Brazil; Functional Group; Worms classification; Taxonomic Check on Worms; Date Worms consulted; Class; Order; Family; Species; Date of first record in the region; Status; Reference impact evidence; Impact evidence; Observations.

Table 2. Presence records of non-native species in the Southern region of Brazil: Record Number; Species; Date; Data source; Environment; Habitat; Latitude; Longitude; State; Reference link.

Table 3. Occurrence of non-native species inside Federal Protected Areas in Paraná, Santa Catarina and Rio Grande do Sul: Federal Protected Area; Species; Number of Records.

Table 4. Comparison of the species found in this study with those listed by Teixeira and Creed (2020) and Zenni et al. (2024) for each state of the Southern region of Brazil.

This study was funded by Fundação de Amparo à Pesquisa do Estado do Rio de Janeiro (E26/203.002/2017-PensaRio). FA Casares received a scholarship from Universidade do Estado do Rio de Janeiro (UERJ), MR Aguieiras received a research scholarship (process no. 385624/2024-7) from the Brazilian National Institute of Science and Technology (INCT) Biodiversidade da Amazônia Azul (CNPq proc. 405999/2022-4), VR de Melo, CBB do Bem and RG Mata Virgem received scholarships from CETREINA/UERJ and JC Creed received the support of FAPERJ - Proc. No. E-26/010.003031/2014 and Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq- 313698/2021-0).
DOI: 10.6084/m9.figshare.12163023.v2
title: GTT-1-protein-197.dcdWW domain trajectories

description: Trajectories of ww domainTrajectories dataTrajectories of WW domain
DOI: 10.6084/m9.figshare.22788410.v1
title: Pregnant women's anxiety

description: Influence on the emotional anxiety of pregnant women after the peak of the COVID‐19 pandemic
DOI: 10.6084/m9.figshare.28784390.v1
title: 富硒茶和绿茶实验

description: Selenium-enriched tea is an ideal source of selenium supplements, and its effects on mice with intestinal disorders have been poorly reported. In this study, we analyzed the main chemical components of selenium-enrichedgreen tea extractsand evaluated its antioxidant, anti-inflammatory and regulatory effects on four intestinal flora in mice with antibiotic-induced intestinal disorders. The main chemical components of selenium-enrichedgreen tea and green tea are significantly different. Selenium-enrichedgreen tea has high selenium content, and the contents of tea polyphenols, flavonoids, tea polysaccharides and catechins are dominant. Selenium-enrichedgreen tea extractscan regulate the expression levels of intestinal antioxidant and inflammatory factors and corresponding mRNA genes in mice, and has a stronger advantage in improving the oxidative stress and inflammatory response caused by intestinal disorders. In addition, Se-rich green tea extract can reduce the weight loss and intestinal pathological damage caused by antibiotics, promote the colonization of Bifidobacteriumand Lactobacillusin the intestinal tract of mice, inhibit the growth of Escherichia coliand Enterococcusin the intestinal tract, and play a certain role in regulating intestinal flora.
DOI: 10.6084/m9.figshare.14306778.v1
title: A Survey of High School Students' Perceptions about Environmental Challenges

description: Abstract: This study presents the results of a survey aimed at assessing high school students' opinions about current environmental challenges in order to discuss the role of science education in the development of students’ environmental awareness. The survey, which involved high school students from public and private schools of Canoas, Rio Grande do Sul, was carried out with the administration of a questionnaire. The data were analyzed in relation to the gender and the type of school of the respondents, utilizing statistical tools. The results show that students care about the problems of the environment and believe that science can solve some of them, but they do not show optimism about the future of the planet. Therefore, results reinforce the need for contextualization of problems related to environmental challenges in science lessons, aiming at further developing students' reflexive skills.
DOI: 10.6084/m9.figshare.19497794.v3
title: Divergent Drivers of Various Topsoil Phosphorus Fractions across Tibetan Alpine Grasslands

description: This dataset is composed of climatic, edaphic, mineral and biological variables as well as various phosphorus fractions among 141 sampling sites across Tibetan alpine grasslands, and also composed of topsoil P fractions data in temperate and tropical-subtropical ecosystems derived from Hou, Tan, et al.(2018)
DOI: 10.6084/m9.figshare.19915306.v1
title: Machine Vision Approach for Brain Tumor Classification using Multi Features Dataset

description: This data set contains three types of brain tumor sub-datasets: Brain Adenomas (BA) Brain Meningioma (BM) Brain Gliomas (BG) <br>
DOI: 10.6084/m9.figshare.26406178.v2
title: Data file containing paths used in path selection analysis

description: This .Rdata file is used in the "modified path selection function and figures.R" script to perform the path selection analysis described in "Wolverines use spatial memory to plan efficient routes through rugged terrain." Actual wolverine locations have been omitted due to species sensitivity concerns.
DOI: 10.6084/m9.figshare.27823296.v1
title: global soil heavy pollution

description: Global heavy metal pollution detection and management
DOI: 10.17632/jbjzvmtfj8
title: Urban Heat Island Mitigation via Rooftop Garden - Sensor based data

description: 2 rooms of a Chennai, Tamil Nadu, India-based facility were fitted with sensors at the terrace and room level. One room's terrace had a roof garden, and the other was exposed. The dataset presents the details of the temperature and humidity recorded at 4 places (garden indoor, garden outdoor, exposed indoor and exposed outdoor).

Two sets of industry-grade temperature and humidity sensors were installed for data collection. These sensors included cased sensors for outdoor measurements and exposed sensors for internal regions. One set of sensors was placed in the baseline monitoring zone, which was the area without a garden, while the second set was installed in the green/heat mitigation monitoring zone, which 
was the area with the garden. 
The precise locations of the four installed sensors were as follows:
1. The external baseline sensor was positioned in the southwest corner of the terrace in the exposed portion.
2. The internal baseline sensor was mounted on the restroom ceiling, below the external sensor in the southwest corner.
3. The external sensor for measuring data from the green roof was installed among the planter bags, near the parapet wall.
4. A corresponding internal sensor to measure the impact of the green terrace was mounted on the ceiling of the storeroom directly below the planter bags.
In addition to the sensors, secondary weather data for the larger Otteri neighbourhood was sourced from weather online, AccuWeather and Visual Crossing to complement the study.