cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15156/bio/sh1277596.10fu
title: SH1277596.10FU

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.
DOI: 10.15156/bio/sh1277598.10fu
title: SH1277598.10FU

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.
DOI: 10.15156/bio/sh1277600.10fu
title: SH1277600.10FU

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.
DOI: 10.15156/bio/sh1277603.10fu
title: SH1277603.10FU

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.
DOI: 10.5281/zenodo.18222450
title: CLIMAAX_D2_CRETE_Supplementary_Data

description: Supporting datasets of the CLIMAAX Phase 2 Deliverable - Refined regional/local risk assessment including local data and comparison of results.
DOI: 10.5281/zenodo.18222449
title: CLIMAAX_D2_CRETE_Supplementary_Data

description: Supporting datasets of the CLIMAAX Phase 2 Deliverable - Refined regional/local risk assessment including local data and comparison of results.
DOI: 10.15156/bio/sh1277604.10fu
title: SH1277604.10FU

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.
DOI: 10.15156/bio/sh1277607.10fu
title: SH1277607.10FU

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.
DOI: 10.15156/bio/sh1277608.10fu
title: SH1277608.10FU

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.
DOI: 10.5281/zenodo.18022915
title: Time Series Analysis of Changes in Agricultural Systems in Sub-Saharan Africa: A First Step Toward Climate Impact Assessment

description: This project presents a time series analysis of changes in agricultural systems across Sub-Saharan Africa as an initial step toward assessing the impacts of climate change on agricultural productivity and land dynamics. Using remotely sensed vegetation indices and long-term environmental data, the study examines temporal trends, variability, and spatial heterogeneity in agricultural landscapes over multiple decades.

The analysis focuses on detecting shifts in growing season timing, vegetation vigor, and interannual variability, with particular attention to how these patterns differ across ecological zones and national or subnational boundaries. Mixed-effects modeling and time series methods are employed to separate long-term trends from short-term climate variability and location-specific effects.

By establishing baseline evidence of how agricultural systems evolve over time, this work provides a foundation for future research that links observed changes to specific climate drivers, such as rainfall variability, temperature trends, and extreme events. The results are intended to support climate impact assessments, inform adaptation planning, and guide further interdisciplinary work at the intersection of agriculture, climate science, and development policy in Sub-Saharan Africa.The datasets, code, and outputs provide a reproducible baseline for future research on climate–agriculture interactions, land system dynamics, and adaptation planning in Sub-Saharan Africa.
DOI: 10.5281/zenodo.18022916
title: Time Series Analysis of Changes in Agricultural Systems in Sub-Saharan Africa: A First Step Toward Climate Impact Assessment

description: This project presents a time series analysis of changes in agricultural systems across Sub-Saharan Africa as an initial step toward assessing the impacts of climate change on agricultural productivity and land dynamics. Using remotely sensed vegetation indices and long-term environmental data, the study examines temporal trends, variability, and spatial heterogeneity in agricultural landscapes over multiple decades.

The analysis focuses on detecting shifts in growing season timing, vegetation vigor, and interannual variability, with particular attention to how these patterns differ across ecological zones and national or subnational boundaries. Mixed-effects modeling and time series methods are employed to separate long-term trends from short-term climate variability and location-specific effects.

By establishing baseline evidence of how agricultural systems evolve over time, this work provides a foundation for future research that links observed changes to specific climate drivers, such as rainfall variability, temperature trends, and extreme events. The results are intended to support climate impact assessments, inform adaptation planning, and guide further interdisciplinary work at the intersection of agriculture, climate science, and development policy in Sub-Saharan Africa.The datasets, code, and outputs provide a reproducible baseline for future research on climate–agriculture interactions, land system dynamics, and adaptation planning in Sub-Saharan Africa.
DOI: 10.15468/dl.ghujcj
title: Occurrence Download

description: A dataset containing 220269 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Patiria"
 ]
}

 The dataset includes 220269 records from 93 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003995-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18223472
title: YUQORI SINF O'QUVCHILARIDA IJTIMOIY-PSIXOLOGIK KOMPETENSIYANI SHAKLLANTIRISHNING ZAMONAVIY TEXNALOGIYALARI

description: Mazkur maqolada yuqori sinf o‘quvchilarida ijtimoiy-psixologik kompetensiyani shakllantirishning nazariy asoslari va zamonaviy ta’lim texnologiyalari tahlil qilinadi. Ijtimoiy-kognitiv va ijtimoiy-konstruktiv yondashuvlar hamda SEL, loyiha va xizmat-ta’limi, rol o‘yinlari, raqamli hamkorlik vositalari integratsiyasi asosida amaliy model va baholash yechimlari taklif etiladi.
DOI: 10.5281/zenodo.18223471
title: YUQORI SINF O'QUVCHILARIDA IJTIMOIY-PSIXOLOGIK KOMPETENSIYANI SHAKLLANTIRISHNING ZAMONAVIY TEXNALOGIYALARI

description: Mazkur maqolada yuqori sinf o‘quvchilarida ijtimoiy-psixologik kompetensiyani shakllantirishning nazariy asoslari va zamonaviy ta’lim texnologiyalari tahlil qilinadi. Ijtimoiy-kognitiv va ijtimoiy-konstruktiv yondashuvlar hamda SEL, loyiha va xizmat-ta’limi, rol o‘yinlari, raqamli hamkorlik vositalari integratsiyasi asosida amaliy model va baholash yechimlari taklif etiladi.
DOI: 10.5281/zenodo.18223052
title: Catalogue of Land, Soil, Crop resources - Snapshot

description: The Land, Soil, Crop Information service project discovered a number of data and knowledge resources relevant to the domain. Metadata for these resources has been added to the hub proptotypes which have been operated during the project. This record contains 3 datasets (Kenya, Ethiopia, Rwanda), which are a snapshot of the catalogue content at the end of the project. Resources have been collected by experts and the research community around the project.

The dataset is in a CSV format, the XML column contains a dump of the full record in a ISO19139:2007 model.

The catalogue software used was pycsw, with a PostGreSQL backend. The snapshot has been created using the following SQL query:

select identifier, title, date, type, organization, regexp_replace(xml, E'[\\n\\r]+', ' ', 'g' ) as xml from records
DOI: 10.5281/zenodo.18223051
title: Catalogue of Land, Soil, Crop resources - Snapshot

description: The Land, Soil, Crop Information service project discovered a number of data and knowledge resources relevant to the domain. Metadata for these resources has been added to the hub proptotypes which have been operated during the project. This record contains 3 datasets (Kenya, Ethiopia, Rwanda), which are a snapshot of the catalogue content at the end of the project. Resources have been collected by experts and the research community around the project.

The dataset is in a CSV format, the XML column contains a dump of the full record in a ISO19139:2007 model.

The catalogue software used was pycsw, with a PostGreSQL backend. The snapshot has been created using the following SQL query:

select identifier, title, date, type, organization, regexp_replace(xml, E'[\\n\\r]+', ' ', 'g' ) as xml from records
DOI: 10.15468/dl.8khzqa
title: Occurrence Download

description: A dataset containing 91 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Italy",
 "TaxonKey is Holothuria tubulosa"
 ]
}

 The dataset includes 91 records from 14 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004023-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5066/p134lzvq
title: Simulations of Groundwater Nitrogen Transport in the Long Island, New York Aquifer System Under Potential Nitrogen Management Scenarios (ver. 2.0, January 2026)

description: This data release contains simulation results from twenty-three (23) transient inset numerical models of the eastern part of Long Island, New York that includes the Peconic River, and estuaries around the North and South Fork. The models simulate nitrogen concentrations in the aquifer and nitrogen loads to surface water bodies from 2020-2120 under different nitrogen inputs that represent potential nitrogen management decisions. Simulations are based on the inset MODFLOW 6 (Hughes and others, 2017) flow and transport models documented in Jahn and Walter (2024a & b).

First posted August 2025, ver 1.0

Revised January 2026, ver 2.0

Version 1.0: In this version of the dataset, the 250x250-foot inset model arrays (such as recharge, nitrogen inputs, initial conditions) were shifted north by 1 regional model rows (equivalent to 500 feet) and west by 1 regional model column (equivalent to 500 feet) due to a geospatial processing error. This resulted in the incorrect placement of those arrays relative to the inset coastlines.

Version 2.0: This version of the dataset has been updated with correctly aligned inset model arrays for all scenarios. Corresponding model output and postprocessed files have been updated.
DOI: 10.34740/kaggle/dsv/14476124
title: Peer-to-Peer Boliviano (BOB) Exchange Data
DOI: 10.3929/ethz-b-000742384
title: Supplementary Material: Enhancing Quality of Dairy Cattle Research Through Adequate Power Analysis

description: Animal scientists use controlled experiments to test hypotheses and evaluate treatment effects within populations. Due to the impracticality of studying entire populations, representative samples are necessary. Assessing statistical power is a crucial step in designing robust experiments. However, many published articles in dairy science lack adequate power analysis, raising concerns about the applicability of findings. An analysis of trends from 1995 to 2023 based on publications in the "Production: Animal Nutrition" section of the Journal of Dairy Science reveals that only 4.73% of 4,376 articles reported power analysis. Additionally, 59% of papers that conducted power analysis did not report the tools used. With the large variability among the tools being used, and the predominant tool, SAS, being non-open access, there is a need to standardize power analysis with an open-source tool. To address this gap, we developed the pwr4exp R package, an open-source tool that provides comprehensive model-oriented power analysis tailored for dairy science research. This review discusses key experimental designs for performing power analysis using the pwr4exp R package. Developed based on linear mixed model inference, pwr4exp was validated by comparing with SAS procedures for completely randomized, randomized complete block, Latin Square, split-plot, or split-split-plot designs. It emphasizes the importance of model specification for downstream statistical analysis at the design and planning phase of an experiment and allows for precise power calculations for main effects, interactions, and contrasts in animal studies. Despite its advantages, pwr4exp in the current version has its limitations, such as the inability to analyze non-normal response variables. This paper reviews the theoretical foundation behind model-oriented power analysis and provides practical guidelines for standardizing power analysis in R, with examples of various experimental designs relevant in animal research.
DOI: 10.15468/dl.g6e3a8
title: Occurrence Download

description: A dataset containing 8531 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Dario dario, Dario dayingensis, Badis dibruensis, Badis juergenschmidti, Badis singenensis, Badis kyanos, Badis triocellus, Badis soraya, Badis laspiophilus, Badis autumnum, Dario kajal, Badis andrewraoi, Dario urops, Badis britzi, Dario neela, Badis pancharatnaensis, Badis rhabdotus, Badis pallidus, Badis kaladanensis, Dario tigris, Dario melanogrammus, Pristolepis marginata, Pristolepis malabarica, Pristolepis fasciata, Pristolepis grootii, Pristolepis rubripinnis, Pristolepis pentacantha, Pristolepis pauciradiatus, Pristolepis procerus, Polycentrus schomburgkii, Monocirrhus polyacanthus, Polycentrus jundia, Anabas cobojius, Anabas testudineus, Sandelia capensis, Sandelia bainsii, Microctenopoma nanum, Microctenopoma pekkolai, Microctenopoma damasi, Microctenopoma nigricans, Microctenopoma congicum, Microctenopoma intermedium, Microctenopoma ansorgii, Microctenopoma milleri, Microctenopoma ocellifer, Microctenopoma uelense, Microctenopoma fasciolatum, Microctenopoma lineatum, Ctenopoma muriei, Ctenopoma petherici, Ctenopoma nebulosum, Ctenopoma garuanum, Ctenopoma multispine, Ctenopoma ashbysmithi, Ctenopoma riggenbachi, Ctenopoma ocellatum, Ctenopoma weeksii, Ctenopoma kingsleyae, Ctenopoma maculatum, Ctenopoma houyi, Ctenopoma nigropannosum, Ctenopoma gabonense, Ctenopoma acutirostre, Ctenopoma pellegrini, Ctenopoma togoensis, Microctenopoma stevenorrisi, Microctenopoma steveboyesi, Anabas tongtruongensis, Helostoma temminckii, Helostoma striolatum, Helostoma tambakkan, Helostoma rudolfi, Helostoma oligacanthum, Parasphaerichthys ocellatus, Parasphaerichthys lineatus, Malpulutta kretseri, Betta pinguis, Betta waseri, Betta fusca, Betta raja, Betta pallifina, Betta burdigala, Betta balunga, Betta kuehnei, Betta ferox, Betta patoti, Betta unimaculata, Betta ocellata, Betta ibanorum, Betta pardalotos, Betta gladiator, Betta splendens, Betta spilotogena, Betta falx, Betta cracens, Betta pulchra, Betta dimidiata, Betta bellica, Betta renata, Betta antoni)",
 "HasCoordinate is true",
 "LastInterpreted is greater than or equal to 2023-01-01",
 "LastInterpreted is less than or equal to 2026-01-01"
 ]
}

 The dataset includes 8531 records from 96 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0004026-260108223611665/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17638/datacat.liverpool.ac.uk/3061
title: The seminal proteome of a monandrous fly, Drosophila subobscura

description: When females mate with multiple males, ejaculates from different partners compete within the female reproductive tract. Males gain a competitive advantage by transferring seminal fluid proteins (Sfps) that manipulate female post-mating responses, such as reducing female propensity to remate. But in monandrous species, where females typically mate only once, post-mating sexual selection is absent, raising key questions about the complexity and identity of Sfps in monandrous seminal proteomes. To address this, we characterised the seminal proteome of the monandrous fly Drosophila subobscura. Using long-read RNA-seq, we created improved gene models for the D. subobscura accessory gland and ejaculatory duct, then, using a label-free quantitative proteomics approach, we identified 172 Sfps. This number is comparable to the 153 Sfps previously reported in polyandrous D. melanogaster using a similar approach. The D. subobscura seminal proteome contains all the D. melanogaster sex peptide network – proteins that control the female post-mating response – and many proteins known to be involved in post-copulatory sexual selection. We also found a surprising over-abundance of proteins previously shown to be down-regulated under monogamy selection (where sexual conflict is removed) in D. melanogaster. Collectively, the patterns suggest that the D. subobscura seminal proteome is characterised more by conflict than cooperation, and despite differences in mating systems, is compositionally similar to that of D. melanogaster. Hence, sexual conflict could be pervasive in the seminal fluid of monandrous species, shaping a complex proteome rich in receptivity-inhibiting Sfps.