cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.2xqzwj
title: Occurrence Download

description: A dataset containing 43051 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is South America",
 "DatasetKey is one of (Field Museum of Natural History (Zoology) Mammal Collection, NMNH Extant Specimen Records (USNM, US), Royal Ontario Museum - Mammalogy, Activité générale du bureau d'étude BIOTOPE (1994 - 2013) - Données acquises dans le cadre de l'activité du bureau d'étude BIOTOPE Océan Indien depuis 2003, iNaturalist Research-grade Observations, Mobilizing specimen data on bats and rodents from Zimbabwe, Distribution and abundance of different bat species in the interior of Arabuko-Sokoke Forest and adjacent farmlands in Gede, Kilifi County, Kenya, LACM Vertebrate Collection, Wildlife diversity of the Dogo-Kétou forest (Benin, West Africa), AMNH Mammal Collections, Synthèse des données d'observations historiques de micro-chiroptères de La Réunion par des chiroptérologues, UMR PIMIT - LEPTOI - Capture de Micro mammifères dans le cadre du programme de recherche sur la Leptospirose dans l’océan Indien LeptOI, Données d'Eco-Med Océan Indien - Données historiques d'Eco-Med Océan Indien : volet faune, Chiroptères de La Réunion - observations mise en base de données par GCOI - GCOI_export20181017 JDD2, Demande d'autorisation environnementale unique pour exploitation d'une carrière aux buttes du Port - commune du Port - Inventaire acoustiques des chiroptères, Données collectées dans de cadre de la première cartographie des périmètres des ZNIEFF continentales de type 1 et 2 de Mayotte, Projet éolien de la Perrière - Renouvellement, Suivi des roussettes noires (Pteropus niger) à La Réunion : synthèses des données historiques, suivis 2009-2012 et données d’enquêtes - Suivi des roussettes noires (Pteropus niger) à La Réunion : synthèses des données historiques, suivis 2009-2012, Observations fortuites de chauves-souris dans Faune-Réunion - Faune-Réunion - export Chiroptères 10/07/2018, Dossier de Demande d'Autorisation d'Exploiter une carrière de matériaux alluvionnaire au lieu-dit \"Chemin Patelin\" de la commune de Saint-André par la société PREFABLOC AGREGATS - Ecoute acoustique chiropteres, Chiroptères de La Réunion - observations mise en base de données par GCOI - Export des données historiques du GCOI du 09-01-2018 au 29-12-2019, Inventaire chauve-souris Mayotte (GCOI, 2019) - Inventaire de chiroptères : étude acoustique pour un atlas des chiroptères de Mayotte)",
 "IucnRedListCategory is one of (DD, LC, NT, VU, EN, CR)",
 "Month is one of (January, February, March, April, May, June, August, July, September, October, November, December)",
 "PublishingOrg is one of (7b8aff00-a9f8-11d8-944b-b8a03c50a862, bc092ff0-02e4-11dc-991f-b8a03c50a862, 1928bdf0-f5d2-11dc-8c12-b8a03c50a862)",
 "TaxonKey is Chiroptera"
 ]
}

 The dataset includes 43051 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001110-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.48472/deposita/nfkjly
title: Metadados Mulheres na Ciência Regional - Amazônia

description: Dados de pesquisa do projeto institucional "MULHERES NA CIÊNCIA: fluxos de informação, produção de conhecimentos e ações no cenário regional", que teve como objetivo Investigar a atuação das mulheres na ciência em ambiência regional. O projeto foi coordenado pela Profa. Dra. Danielly Oliveira Inomata, com participação das docentes/Pesquisadores: Profa. Dra. Célia Regina Simonetti Barbalho e Profa. Dra. Tatiana Brandão Fernandes, das Discentes: Caroline Pinheiro (Mestrado UFPA), Priscila de Nazaré Progene (Mestrado UFPA), Débora da Silva Rocha (Bolsista PIBIC), Delyane de Sousa Ramos (Voluntária PIBIC), Elionilde Rodrigues de França (Bolsista PIBIC), Kamilla Silva (Bolsista PIBIC), Sara Gonçalves de Moraes (Bolsista PIBIC), Tatiane Batani Sampaio (Bolsista PIBIC), Vanessa Arevalo Macario (Bolsista PIBIC) e Yasmin Martins Gomes (Bolsista PIBIC).
description: São disponibilizados os metadados dos ID Lattes de cada pesquisadora das instituições, juntamente com os dados gerais referente ao quantitativo de produção científica por instituição.
DOI: 10.15468/dl.ehst56
title: Occurrence Download

description: A dataset containing 19 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Buddleja alternifolia",
 "Country is United States of America",
 "HasCoordinate is true"
 ]
}

 The dataset includes 19 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001111-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wajbyb
title: Occurrence Download

description: A dataset containing 103 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Mexico",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Quercus coffeicolor",
 "Year 1980-2025"
 ]
}

 The dataset includes 103 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001113-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.48472/deposita/je0rq9
title: Cartografia da produção científica dos intelectuais acadêmicos indígenas da Amazônia

description: Conjunto de dados sobre a produção científica de 169 intelectuais acadêmicos indígenas de etnias Amazônicas, coletados na Plataforma Lattes no dia 03/03/2023 para o lastro temporal de janeiro de 2020 a março 2023.
description: Os dados coletados são oriundo da pesquisa realizada pelo projeto Cartografia dos conhecimentos indígenas, desenvolvida pelo grupo de pesquisa Gestão da Informação e do Conhecimento na Amazônia da Universidade Federal do Amazonas.
DOI: 10.18739/a28911s8q
title: Permafrost thaw depth measurements at beaver pond locations in Northwestern Alaska, 2022-2026

description: This dataset contains permafrost thaw depth measurements at Alaskan beaver ponds collected as part of the Arctic Beaver Observation Network.
 The Arctic Beaver Observation Network is a 5-year project (2021-2026) funded by the National Science Foundation. The natural science part of the project uses remote sensing to observe the progress and impacts of beaver engineering in the Arctic, starting in Alaska and extending into Canada and Eurasia. The project also establishes field sites at tundra beaver ponds to study the implications of beaver engineering on hydrology and permafrost, as well as pond evolution documented using Unmanned Aerial Systems (UAS). Remote sensing work will map beaver ponds over time. Field measurements at tundra beaver ponds are made in August and late March. Data generated by field measurements include water level and temperature from pressure-transducers, subsurface imaging from ground-penetrating radar, sonar measurements for beaver pond bathymetry, tabular data associated with water quality measurements, and ice thickness and water depth (in winter). Data is also posted from UAS surveys: annual visible and multi-spectral surveys, as well as snow depth. This dataset comprises thaw depth measurements along transects near beaver ponds, to document permafrost impacts over time.
DOI: 10.18739/a24j0b03h
title: Pressure transducer data for beaver ponds and associated streams in northwestern Alaska 2021-2026

description: This dataset contains water level, water temperature, and barometric pressure at Alaskan beaver ponds collected as part of the Arctic Beaver Observation Network.
 The Arctic Beaver Observation Network is a 5-year project (2021-2026) funded by the National Science Foundation. The natural science part of the project uses remote sensing to observe the progress and impacts of beaver engineering in the Arctic, starting in Alaska and extending into Canada and Eurasia. The project also establishes field sites at tundra beaver ponds to study the implications of beaver engineering on hydrology and permafrost, as well as pond evolution documented using Unmanned Aerial Systems (UAS). Remote sensing work will map beaver ponds over time. Field measurements at tundra beaver ponds are made in August and late March. Data generated by field measurements include water level and temperature from pressure-transducers, subsurface imaging from ground-penetrating radar, sonar measurements for beaver pond bathymetry, tabular data associated with water quality measurements, and ice thickness and water depth (in winter). Data is also posted from UAS surveys: annual visible and multi-spectral surveys, as well as snow depth.
DOI: 10.13012/b2idb-9501764_v1
title: Data for "Drought Impacts to Water Footprints and Virtual Water Transfers of Counties of the United States"

description: These data support Ruess et al (2025) "Drought impacts to water footprints and virtual water transfers of counties of the United States", Water Resources Research, 61, e2024WR037715, https://doi.org/10.1029/2024WR037715.

The dataset contains estimates for Virtual Water Content (VWC) and Virtual Water Trade (VWT) for nine unique combinations of three crop categories (cereal grains, produce, and animal feed) and three water sources (surface water withdrawals, groundwater withdrawals, and groundwater depletion) for the years 2012 and 2017 within the Continental United States. The VWC is calculated by dividing irrigation withdrawal estimates (m3) by the production (tons) at the county resolution. The VWT is calculated by multiplying the VWC by the estimated county level food flows (tons) from Karakoc et al. (2022). All VWC estimates are provided at the county resolution according to county GEOID and are given in units of m3/ton. All VWT estimates are given in pairs of origin and destination GEOID’s and provided in units of m3. 

When using, please cite as: 
Ruess, P.J., Hanley, J., and Konar, M. (2025) "Drought impacts to water footprints and virtual water transfers of counties of the United States", Water Resources Research, 61, e2024WR037715, doi: 10.1029/2024WR037715.
DOI: 10.15468/dl.a93rua
title: Occurrence Download

description: A dataset containing 101 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Cymbula safiana",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Geometry POLYGON ((-6.6 29.26705, -6.6 50.94, 40.81373 50.94, 40.81373 29.26705, -6.6 29.26705))",
 "BasisOfRecord is one of (Human Observation, Machine Observation, Observation, Material sample)"
 ]
}

 The dataset includes 101 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001116-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.18430/m39hg2
title: X-ray diffraction data for the crystal structure of M. smegmatis GMP reductase in complex with IMP and ATP. (9HG2)
DOI: 10.18430/m39hg3
title: X-ray diffraction data for the crystal structure of M. smegmatis GMP reductase in complex with GMP and GTP. (9HG3)
DOI: 10.18430/m39hg1
title: X-ray diffraction data for the crystal structure of M. smegmatis GMP reductase in complex with GMP and ATP. (9HG1)
DOI: 10.15468/dl.e797be
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Plagioscion casattii)",
 "BasisOfRecord is one of (Specimen, Literature Occurrence, Human Observation, Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1991",
 "Year is less than or equal to 2025"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001117-250827131500795/datasets/export for details.
DOI: 10.15468/dl.er3cn6
title: Occurrence Download

description: A dataset containing 225 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Cinnamodendron dinisii)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 225 records from 60 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001118-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.18430/m39hfz
title: X-ray diffraction data for the crystal structure of M. smegmatis GMP reductase in complex with IMP. (9HFZ)
DOI: 10.15468/dl.545qkw
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Stachyris nonggangensis",
 "Country is Chinese Taipei",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001119-250827131500795/datasets/export for details.
DOI: 10.15468/dl.g6eu6k
title: Occurrence Download

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

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001120-250827131500795/datasets/export for details.
DOI: 10.15468/dl.q3xuvf
title: Occurrence Download

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

 The dataset includes 2 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001121-250827131500795/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.29998195
title: Dataset

description: Dataset .
DOI: 10.6084/m9.figshare.29998195.v1
title: Dataset

description: Dataset .
DOI: 10.15468/dl.gajbnk
title: Occurrence Download

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

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001122-250827131500795/datasets/export for details.
DOI: 10.15468/dl.s48bxq
title: Occurrence Download

description: A dataset containing 90 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Haplosporidium",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Geometry POLYGON ((-6.6 29.26705, -6.6 50.94, 40.81373 50.94, 40.81373 29.26705, -6.6 29.26705))",
 "BasisOfRecord is one of (Human Observation, Machine Observation, Observation, Material sample)"
 ]
}

 The dataset includes 90 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001123-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.16969890
title: Super Metroid Abstractions

description: These files constitute Node- and Tile-Abstractions for Super Metroid

These abstractions are defined in Chapters 9 and 10 (respectively) of my dissertation, which is titled:

Certified Synthesis for Interactive Media: High Assurance Metroidvania Generation

node_dsl.zip contains the node-abstractions: the code to parse them is hosted at: https://github.com/aremath/sm_rando/ in /encoding/parse_rooms.py.

rooms.txt defines the rooms of the game, and exits.txt defines how those rooms are connected to each other. rooms_for_alloy.txt (and corresponding exits_for_alloy.txt) contain a slightly simplified abstraction which is not suitable for modular analysis.

tile_rules.zip contains the movement rules and test scenarios for the tile-abstraction. The code to parse them is in /world_rando/parse_rules.py (and the code to apply them is in /world_rando/rules.py).

The actual in-game rooms are parsed from the unheadered JP/US Super Metroid ROM. /rom_tools/ contains the code to parse the ROM, and /world_rando/parse_rules.py includes a function "make_level_from_room" which converts levels from the ROM into the same format used by the tile-abstraction rules.

Both abstractions are subject to change, and the github repo will typically have more up-to-date versions. These abstractions are the versions used for my dissertation data.
DOI: 10.5281/zenodo.16969889
title: Super Metroid Abstractions

description: These files constitute Node- and Tile-Abstractions for Super Metroid

These abstractions are defined in Chapters 9 and 10 (respectively) of my dissertation, which is titled:

Certified Synthesis for Interactive Media: High Assurance Metroidvania Generation

node_dsl.zip contains the node-abstractions: the code to parse them is hosted at: https://github.com/aremath/sm_rando/ in /encoding/parse_rooms.py.

rooms.txt defines the rooms of the game, and exits.txt defines how those rooms are connected to each other. rooms_for_alloy.txt (and corresponding exits_for_alloy.txt) contain a slightly simplified abstraction which is not suitable for modular analysis.

tile_rules.zip contains the movement rules and test scenarios for the tile-abstraction. The code to parse them is in /world_rando/parse_rules.py (and the code to apply them is in /world_rando/rules.py).

The actual in-game rooms are parsed from the unheadered JP/US Super Metroid ROM. /rom_tools/ contains the code to parse the ROM, and /world_rando/parse_rules.py includes a function "make_level_from_room" which converts levels from the ROM into the same format used by the tile-abstraction rules.

Both abstractions are subject to change, and the github repo will typically have more up-to-date versions. These abstractions are the versions used for my dissertation data.
DOI: 10.15468/dl.xxfg8v
title: Occurrence Download

description: A dataset containing 8485 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-43.27049 -22.80945,-43.24976 -22.85199,-43.16547 -22.84212,-43.13002 -22.78601,-43.14942 -22.76443,-43.22501 -22.77121,-43.27049 -22.80945))",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 8485 records from 94 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001124-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wjmf2k
title: Occurrence Download

description: A dataset containing 175 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "GadmGid is USA.37.1_1",
 "TaxonKey is one of (Crocodylia, Testudines, Squamata)"
 ]
}

 The dataset includes 175 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001125-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zpf8f4
title: Occurrence Download

description: A dataset containing 23 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Trichomycterus latistriatus)",
 "BasisOfRecord is one of (Specimen, Literature Occurrence, Human Observation, Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1991",
 "Year is less than or equal to 2025"
 ]
}

 The dataset includes 23 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001126-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ds82sq
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Stachyris humei",
 "Country is Chinese Taipei",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001127-250827131500795/datasets/export for details.
DOI: 10.5281/zenodo.16372854
title: Assessing the impact of Land cover change on Soil Organic Carbon Stocks in Chile: Implications for terrestrial ecosystems and conservation policies

description: Dataset for: "Assessing the impact of Land cover change on Soil Organic Carbon Stocks in Chile: Implications for terrestrial ecosystems and conservation policies" in Journal of Applied Ecology

 

Abstract

 

Understanding soil organic carbon (SOC) dynamics is crucial for understanding the global carbon cycle and ensuring soil and terrestrial ecosystems function. This study provides a comprehensive assessment of SOC distribution across terrestrial ecosystems and protected areas in Chile, focusing on the interactions between land cover (LC) types and their impacts on SOC stocks (SOCs), aiming to evaluate current SOC degradation and inform conservation strategies. To analyse topsoil (0–30 cm) SOC content (%) and SOCs across LC categories defined as low-intensity LC (minimally impacted by human activities) and ‘high-intensity LC’ (substantially impacted by human activities). A Random Forest modelling approach was used, integrating remote sensing environmental variable data from Landsat 8, MODIS and SRTM topography, along with over 12,000 presence points compiled from literature and unpublished datasets. Chilean ecosystems contain approximately 1.37 pg of SOCs, with nearly 80% in low-intensity LC and temperate forests, highlighting their importance in carbon conservation. Vulnerable ecosystems, such as Sclerophyllous Forests, retain only 45% of their original stock and have experienced 10% fire damage in the last decade. The present assessment of SOC levels in protected areas highlights the importance of public lands in conserving SOC, as they contain over six times more SOC than private areas and are predominantly present within the low-intensity LC. However, important conservation gaps are still present, as ecosystems such as deciduous forests, steppes & grasslands and thorny shrublands, which together store nearly 40% of the national SOC stock, are not currently under the protected area network. These results are key to understanding the dynamics of soil SOC in heterogeneous landscapes and emphasize the need to align conservation strategies with carbon storage priorities. Our study identifies key implications for in situ conservation efforts by pinpointing threatened ecosystems and addressing gaps in soil protection through the improvement or expansion of protected areas to face a world-changing climate. It provides valuable inputs for modelling areas prone to soil degradation and irreplaceable soil organic carbon loss. These insights are crucial for shaping national and international evidence-based policies and improving conservation and restoration initiatives.