cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.14217321
title: Industrial Ecology Data Commons (IEDC) February 2026 milestone, after completion of 2025 critical mass sprint

description: The Industrial Ecology Data Commons (IEDC) is a database that contains more than 400 IE-related datasets from the literature, including stocks, flows, process descriptions, IO tables, material composition of products, and many more. Launched in 2018, the IEDC is continuously improved and expanded. 

The homepage of the project is https://www.database.industrialecology.uni-freiburg.de/

This Zenodo backup contains two .zip files with 340 parameter templates (xlsx), which where all uploaded to the IEDC (SQL database) and are available online.

This backup is for archiving the intermediate step between raw data and uploaded data. Data templates can be either shaped as list or as table, and this backup has a separate folder for all templates of each of the two types.

It contains all data that were gathered up to and including February 2026 except for those data that were uploaded directly via Pyhton scripts from other sources (like .csv) and not via the xlsx templates.
DOI: 10.5281/zenodo.18742431
title: Industrial Ecology Data Commons (IEDC) February 2026 milestone, after completion of 2025 critical mass sprint

description: The Industrial Ecology Data Commons (IEDC) is a database that contains more than 400 IE-related datasets from the literature, including stocks, flows, process descriptions, IO tables, material composition of products, and many more. Launched in 2018, the IEDC is continuously improved and expanded. 

The homepage of the project is https://www.database.industrialecology.uni-freiburg.de/

This Zenodo backup contains two .zip files with 340 parameter templates (xlsx), which where all uploaded to the IEDC (SQL database) and are available online.

This backup is for archiving the intermediate step between raw data and uploaded data. Data templates can be either shaped as list or as table, and this backup has a separate folder for all templates of each of the two types.

It contains all data that were gathered up to and including February 2026 except for those data that were uploaded directly via Pyhton scripts from other sources (like .csv) and not via the xlsx templates.
DOI: 10.15468/dl.bt4d5d
title: Occurrence Download

description: A dataset containing 8655 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Torpedo",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 8655 records from 126 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003536-260221153910048/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.7289/v5k0729w
title: NCCOS National Status and Trends Bioeffects Assessment: Chemical contaminant data in the St. Thomas East End Reserves, U.S. Virgin Islands, from 2010-05-04 to 2012-06-22 (NCEI Accession 0146168)

description: This dataset provides valuable baseline data on sediment chemical contamination for the St. Thomas East End Reserve (STEER), U.S. Virgin Islands (USVI). From 2010-2012, NOAA scientists collected samples as part of a larger, long-term monitoring National Status and Trends Program (NS&T). A broad suite of chemical contaminants were analyzed in sediment, coral (Porites asteroides) and conch (Strombus gigas) samples. These contaminants included polycyclic aromatic hydrocarbons (PAHs), chlorinated pesticides including DDT and its metabolites, polychlorinated biphenyls (PCBs), major and trace elements, and butyltins.

Partners in the CRCP project “Characterization of Land-Based Sources of Pollution and Effects in the St. Thomas East End Reserves (STEER)” included the Coastal Oceanographic Assessment, Status and Trends (COAST) Branch, and the Biogeography Branch of NOAA’s National Centers for Coastal Ocean Science (NCCOS), Center for Coastal Monitoring and Assessment (CCMA) in Silver Spring, MD, the USVI Department of Planning and Natural Resources (DPNR), the University of the Virgin Islands (UVI), and The Nature Conservancy (TNC).
DOI: 10.7289/v5mk69z3
title: NCCOS Assessment: Groundfish biodiversity hotspots off the Pacific Coast of Oregon from 1971-09-05 to 2010-09-20 (NCEI Accession 0156467)

description: This data set comprises maps of predicted long-term groundfish biodiversity hotspot probabilities off the Pacific Coast of Oregon. Predicted hotspot probabilities are given for four biodiversity indices: 1) relative abundance, 2) relative biomass, and 3) species number for all groundfishes, and 4) relative abundance for only nearshore groundfishes. The nearshore species assemblage includes: Sand Sole, English Sole, Pacific Sanddab, Speckled Sanddab, Petrale Sole, Starry Flounder, and Butter Sole. Hotspots were defined as areas with predictions in the top 10% of values of at-sea observations.

Areas of relatively high biodiversity were predicted using at-sea groundfish observations collected from 1971 to 2010 and associative models linking species observations with environmental covariates. Groundfish observations were taken from existing fishery-independent trawl data collected by NOAA’s National Marine Fisheries Service and flatfish trawl data collected by the Oregon Department of Fish and Wildlife. Environmental predictors included position on the shelf, sea floor habitat, depth, slope, aspect, slope of slope, and oceanographic productivity were used to predict areas with relatively high groundfish biodiversity. Binary logistic regression trees were used to associate species observations with environmental covariates and predict categorical results (Hotspot/Low classes). Mapped values indicate the probability of a raster cell belonging in the hotspot class.
DOI: 10.15468/dl.utdvmp
title: Occurrence Download

description: A dataset containing 3046 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Hydroptila forcipata"
 ]
}

 The dataset includes 3046 records from 66 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003537-260221153910048/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.11583/dtu.29580659
title: Dataset for "Mechanistic Insights into Oxygen-Ion Migration in Hexagonal Perovskites via Autonomous First-Principles Workflows"

description: This repository supports the publication "Mechanistic Insights into Oxygen-Ion Migration in Hexagonal Perovskites via Autonomous First-Principles Workflows". It includes the 'hps_screening.db' ASE database with 2450 entries containing information on single-crystal, defect-containing, and migration barriers for atomic structures and other relevant information related to the calculation performed.<br>The 'tree_structure.txt' file outlines the child directories that represent the stored jobs in the database. It displays the INCAR, POSCAR, KPOINTS, and CONTCAR files for the three main workflow stages: relaxation, preNEB, and NEB, which are also available as separate compressed files in this repository.This repository also includes a CSV table containing the numerical results of the main properties reported in this analysis.For more information, refer to the README file.
DOI: 10.11583/dtu.29580659.v1
title: Dataset for "Mechanistic Insights into Oxygen-Ion Migration in Hexagonal Perovskites via Autonomous First-Principles Workflows"

description: This repository supports the publication "Mechanistic Insights into Oxygen-Ion Migration in Hexagonal Perovskites via Autonomous First-Principles Workflows". It includes the 'hps_screening.db' ASE database with 2450 entries containing information on single-crystal, defect-containing, and migration barriers for atomic structures and other relevant information related to the calculation performed.<br>The 'tree_structure.txt' file outlines the child directories that represent the stored jobs in the database. It displays the INCAR, POSCAR, KPOINTS, and CONTCAR files for the three main workflow stages: relaxation, preNEB, and NEB, which are also available as separate compressed files in this repository.This repository also includes a CSV table containing the numerical results of the main properties reported in this analysis.For more information, refer to the README file.
DOI: 10.5281/zenodo.18741940
title: CROCUS_WP4_UOULU_Surveys of businesses_23-02-2026

description: Surveys of businesses focusing on attitudes to tourism in the regions adjacent to the Finnish-Swedish border.
DOI: 10.5281/zenodo.18741939
title: CROCUS_WP4_UOULU_Surveys of businesses_23-02-2026

description: Surveys of businesses focusing on attitudes to tourism in the regions adjacent to the Finnish-Swedish border.
DOI: 10.15468/dl.ey9gy6
title: Occurrence Download

description: A dataset containing 10637 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Biodiversity in Østerild before and after the establishment of the national test center for windmills"
 ]
}

 The dataset includes 10637 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003539-260221153910048/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/51nw18
title: Algae collection, Oslo (O) UiO

description: Algae collection at the Natural History Museum, Oslo
DOI: 10.15468/irppio
title: Entomological collections, UiB

description: The Entomological collections contain research material of all extant terrestrial and aquatic arthropod groups except crustaceans:Hexapoda, Myriopoda, Tardigrada, Arachnoidea and Cheliceratea.More than 430 000 needle mounted insects have been identified with genus or species names and an additional number identified to family level. Moreover, the collection contains about 42,000 tubes with ethanol-fixed insects identified to genus or species level, and 29,000 slides (mainly aphids and chironomids).Of other terrestrial arthropods we have more than 15,000 tubes with ethanol-fixed material of spiders determined to species or genus. In addition, we have more than 1200 dried galls and mines.The bulk of the material is from the last 70-80 years and is available for loan to other scientific institutions for the purpose of scientific studies. Other persons must make arrangement with a local institution that may be willing to take responsibility for the loan.
DOI: 10.15468/dl.8xg6np
title: Occurrence Download

description: A dataset containing 43 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "RecordedBy is one of (Miertsching, Miertsching (Mr.), Miertsching [Johann August Miertsching], Miertsching, H., Miertsching., Miertsching; [H.M.S. Twetpator], Murtsching, Meirtsching (Mr), Meirtsching, J., Miertshing [Miertching], Miertching, Investjator, H.M.S., [Mr. Mistsching], [Mr Meirtsching], [Mr. Miertsching], [Mr. Meirtsching], [Muitschmy], [Mr. Murtsching], Glitsch; [Kurtschig], [Mes Miertsching], [Herr. Miertsching], [Mr Miertsching], [Herr Miertsching], Mr. Meirtsching)"
 ]
}

 The dataset includes 43 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003540-260221153910048/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.30104215
title: Circadian fluctuations in saliva biochemical composition: A pilot study

description: Saliva serves as a valuable, non-invasive diagnostic tool, yet the influence of circadian rhythms on its biochemical composition remains unclear. This study evaluated circadian fluctuations in unstimulated whole saliva, focusing on pH, total protein, glucose, and organic and inorganic ions. Eight healthy, caries-free adults provided unstimulated saliva samples at six time points (7:00 AM, 11:00 AM, 3:00 PM, 7:00 PM, 11:00 PM, and 3:00 AM) across a 24-hour period, on three separate days. Participants followed a standardized Mediterranean diet for three days before and during sampling. Saliva was analyzed for pH, total protein (bicinchoninic acid assay), and various biochemical markers using a calibrated reflectometer. Statistical analyses were performed using repeated measures ANOVA (<i>p</i> &lt;0.05). No significant circadian variations were observed for calcium, phosphate, peroxide, salivary pH, or total protein (<i>p</i> &gt;0.05). However, lactate, nitrate, nitrite, ammonium, and glucose exhibited significant circadian fluctuations (<i>p</i> &lt;0.05), with distinct peaks at specific times. Circadian rhythm had a limited impact on the overall biochemical profile of unstimulated saliva in young, healthy adults. However, specific analytes exhibited significant fluctuations, highlighting the need for standardized sampling protocols in saliva-based diagnostics. Understanding circadian influences on saliva composition may improve the reliability of saliva as a diagnostic biofluid for oral and systemic conditions.
DOI: 10.6084/m9.figshare.30104215.v1
title: Circadian fluctuations in saliva biochemical composition: A pilot study

description: Saliva serves as a valuable, non-invasive diagnostic tool, yet the influence of circadian rhythms on its biochemical composition remains unclear. This study evaluated circadian fluctuations in unstimulated whole saliva, focusing on pH, total protein, glucose, and organic and inorganic ions. Eight healthy, caries-free adults provided unstimulated saliva samples at six time points (7:00 AM, 11:00 AM, 3:00 PM, 7:00 PM, 11:00 PM, and 3:00 AM) across a 24-hour period, on three separate days. Participants followed a standardized Mediterranean diet for three days before and during sampling. Saliva was analyzed for pH, total protein (bicinchoninic acid assay), and various biochemical markers using a calibrated reflectometer. Statistical analyses were performed using repeated measures ANOVA (<i>p</i> &lt;0.05). No significant circadian variations were observed for calcium, phosphate, peroxide, salivary pH, or total protein (<i>p</i> &gt;0.05). However, lactate, nitrate, nitrite, ammonium, and glucose exhibited significant circadian fluctuations (<i>p</i> &lt;0.05), with distinct peaks at specific times. Circadian rhythm had a limited impact on the overall biochemical profile of unstimulated saliva in young, healthy adults. However, specific analytes exhibited significant fluctuations, highlighting the need for standardized sampling protocols in saliva-based diagnostics. Understanding circadian influences on saliva composition may improve the reliability of saliva as a diagnostic biofluid for oral and systemic conditions.
DOI: 10.15468/dl.kf3hbw
title: Occurrence Download

description: A dataset containing 16 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Hydroptila insubrica"
 ]
}

 The dataset includes 16 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003542-260221153910048/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18740061
title: Evolución del Crimen en Latinoamérica 2015-2024: Base de Datos por Categorías

description: Base de datos sobre la evolución del crimen en América Latina y el Caribe durante el período 2015-2024, compilada a partir de fuentes secundarias (UNODC, Insight Crime, Prosegur Research, Banco Mundial, CEPAL, ONU Mujeres e Infosegura). El dataset incluye 230 registros organizados por 8 categorías: (1) Homicidios: tasas por 100,000 hab. para México, Brasil, Venezuela, Honduras, El Salvador, Guatemala, Perú, Argentina, Chile, Uruguay, Colombia, Ecuador, Costa Rica y Bolivia. (2) Femicidios: casos reportados. (3) Secuestros: denuncias. (4) Robos. (5) Narcotráfico: hectáreas de coca cultivadas en Colombia, Perú y Bolivia; incautaciones. (6) Extorsión. (7) Crimen Organizado. (8) Corrupción policial-judicial. El Salvador redujo su tasa de homicidios de 82.8 (2016) a 1.9 (2024); Ecuador escaló de 5.0 (2015) a 40.5 (2023); Colombia cultivó un récord de 253,000 ha de coca en 2023. Fuentes: UNODC, InSight Crime, Prosegur Research, Banco Mundial, CEPAL.
DOI: 10.5281/zenodo.18740062
title: Evolución del Crimen en Latinoamérica 2015-2024: Base de Datos por Categorías

description: Base de datos sobre la evolución del crimen en América Latina y el Caribe durante el período 2015-2024, compilada a partir de fuentes secundarias (UNODC, Insight Crime, Prosegur Research, Banco Mundial, CEPAL, ONU Mujeres e Infosegura). El dataset incluye 230 registros organizados por 8 categorías: (1) Homicidios: tasas por 100,000 hab. para México, Brasil, Venezuela, Honduras, El Salvador, Guatemala, Perú, Argentina, Chile, Uruguay, Colombia, Ecuador, Costa Rica y Bolivia. (2) Femicidios: casos reportados. (3) Secuestros: denuncias. (4) Robos. (5) Narcotráfico: hectáreas de coca cultivadas en Colombia, Perú y Bolivia; incautaciones. (6) Extorsión. (7) Crimen Organizado. (8) Corrupción policial-judicial. El Salvador redujo su tasa de homicidios de 82.8 (2016) a 1.9 (2024); Ecuador escaló de 5.0 (2015) a 40.5 (2023); Colombia cultivó un récord de 253,000 ha de coca en 2023. Fuentes: UNODC, InSight Crime, Prosegur Research, Banco Mundial, CEPAL.
DOI: 10.15468/dl.rs9xfk
title: Occurrence Download

description: A dataset containing 4322 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Inventory of marine amphipod species from Italian waters: an update"
 ]
}

 The dataset includes 4322 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003543-260221153910048/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.e59qk5
title: Occurrence Download

description: A dataset containing 7406 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Pseudochromis",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 7406 records from 115 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003544-260221153910048/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/wtlymk
title: Vascular Plant Herbarium, Oslo (O) UiO

description: Natural History Museum, University of Oslo.
Vascular plant collection.
DOI: 10.15468/dd.zh3zee
title: Dataset generated from Esri tool

description: Derived dataset generated by Esri geoprocessing tool using GBIF API
DOI: 10.15468/dl.j3c8jv
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Passeriformes)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1980",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "Geometry POLYGON((-160 -90,-150 -90,-150 -80,-160 -80,-160 -90))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024191-251009101135966/datasets/export for details.
DOI: 10.15468/dl.t47nmr
title: Occurrence Download

description: A dataset containing 2930 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Gracilaria vermiculophylla"
 ]
}

 The dataset includes 2930 records from 75 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0024190-251009101135966/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17344743
title: All Results for the JavaScript action analysis for Cosseter
DOI: 10.22008/fk2/iw73uu/geffzb
title: THU_L_day.nc

description: Uploaded with pyDataverse 2023-05-01 00:19
DOI: 10.22008/fk2/iw73uu/kdod8c
title: THU_L_hour.nc

description: Uploaded with pyDataverse 2023-05-01 00:19
DOI: 10.22008/fk2/iw73uu/3lzdji
title: THU_L_month.nc

description: Uploaded with pyDataverse 2023-05-01 00:19
DOI: 10.22008/fk2/iw73uu/rpm3yo
title: THU_L2_day.csv

description: Uploaded with pyDataverse 2023-05-01 00:19
DOI: 10.22008/fk2/iw73uu/jhcwjj
title: THU_L2_hour.csv

description: Uploaded with pyDataverse 2023-05-01 00:19
DOI: 10.22008/fk2/iw73uu/nrxji6
title: THU_L2_month.csv

description: Uploaded with pyDataverse 2023-05-01 00:19
DOI: 10.22008/fk2/iw73uu/rvf71q
title: THU_L2_hour.nc

description: Uploaded with pyDataverse 2023-05-01 00:19
DOI: 10.22008/fk2/iw73uu/bdt0gd
title: THU_L2_day.nc

description: Uploaded with pyDataverse 2023-05-01 00:19
DOI: 10.22008/fk2/iw73uu/ghxids
title: THU_L2_month.nc

description: Uploaded with pyDataverse 2023-05-01 00:19
DOI: 10.22008/fk2/iw73uu/ccoet5
title: THU_U_day.csv

description: Uploaded with pyDataverse 2023-05-01 00:19
DOI: 10.22008/fk2/iw73uu/ogxb1l
title: THU_U_hour.csv

description: Uploaded with pyDataverse 2023-05-01 00:19
DOI: 10.22008/fk2/iw73uu/xos0rp
title: THU_U_month.csv

description: Uploaded with pyDataverse 2023-05-01 00:19
DOI: 10.22008/fk2/iw73uu/al2lsh
title: THU_U_hour.nc

description: Uploaded with pyDataverse 2023-05-01 00:19
DOI: 10.22008/fk2/iw73uu/pffo7b
title: THU_U_month.nc

description: Uploaded with pyDataverse 2023-05-01 00:20
DOI: 10.22008/fk2/iw73uu/rlzijx
title: THU_U_day.nc

description: Uploaded with pyDataverse 2023-05-01 00:20
DOI: 10.22008/fk2/iw73uu/xqkzea
title: THU_U2_day.csv

description: Uploaded with pyDataverse 2023-05-01 00:20
DOI: 10.22008/fk2/iw73uu/k9y5cf
title: THU_U2_hour.csv

description: Uploaded with pyDataverse 2023-05-01 00:20
DOI: 10.22008/fk2/iw73uu/ls9fez
title: THU_U2_month.csv

description: Uploaded with pyDataverse 2023-05-01 00:20
DOI: 10.22008/fk2/iw73uu/8x1x6k
title: THU_U2_hour.nc

description: Uploaded with pyDataverse 2023-05-01 00:20
DOI: 10.22008/fk2/iw73uu/n16lfc
title: THU_U2_day.nc

description: Uploaded with pyDataverse 2023-05-01 00:20
DOI: 10.22008/fk2/iw73uu/mjarw8
title: THU_U2_month.nc

description: Uploaded with pyDataverse 2023-05-01 00:20
DOI: 10.22008/fk2/iw73uu/olfnwy
title: UPE_L_day.csv

description: Uploaded with pyDataverse 2023-05-01 00:20
DOI: 10.22008/fk2/iw73uu/a6xx8b
title: UPE_L_hour.csv

description: Uploaded with pyDataverse 2023-05-01 00:20
DOI: 10.15156/bio/sh1397005.10fu
title: SH1397005.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.