cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.31229104.v1
title: Data of graded restoration induces asynchronous recovery of soil multifunctionality and biodiversity in degraded alpine meadows

description: The restoration of degraded alpine meadows on the Qinghai-Tibet Plateau (QTP) is a critical global priority. However, current restoration strategies often prioritize severely degraded areas, potentially neglecting more cost-effective interventions in moderately degraded systems and creating mismatches in the recovery of different ecosystem components. This study tests a graded management framework designed to align intervention intensity with degradation level, assessing its efficacy in restoring both ecosystem structure and function, with a particular focus on soil processes. We established a restoration experiment in alpine meadows across a degradation gradient: light (LD, fencing only), moderate (MD, fencing + reseeding + fertilization), and severe (SD, intensive reseeding + fertilization), compared with non-degraded (ND) controls. Over two years, we quantified vegetation diversity, aboveground biomass, soil microbial communities (bacteria, fungi, nematodes), and 16 soil physicochemical properties to calculate soil multifunctionality. An economic cost-benefit analysis complemented the ecological assessment. We found that aboveground biomass and major soil functions recovered rapidly, even exceeding ND levels in some treatments. In contrast, plant diversity and soil microbial community composition, particularly bacteria and nematodes, remained significantly impaired. This asynchrony was most pronounced in SD grasslands. LD and MD grasslands achieved soil multifunctionality comparable to ND sites, whereas SD sites showed persistent functional deficits. Economically, interventions on LD grasslands yielded a 10.4% return, compared to a -29.5% loss for SD grasslands. Graded management effectively restores soil functions but creates a clear trade-off: productivity responds directly to resource subsidies, while biodiversity recovery lags, constrained by dispersal limitations and soil legacies. We demonstrate that prioritizing preventative interventions in LD/MD grasslands is ecologically and economically optimal. For SD systems, future strategies must address fundamental soil biotic thresholds, potentially through targeted soil amendments, to synchronize recovery trajectories.
DOI: 10.6084/m9.figshare.31229104
title: Data of graded restoration induces asynchronous recovery of soil multifunctionality and biodiversity in degraded alpine meadows

description: The restoration of degraded alpine meadows on the Qinghai-Tibet Plateau (QTP) is a critical global priority. However, current restoration strategies often prioritize severely degraded areas, potentially neglecting more cost-effective interventions in moderately degraded systems and creating mismatches in the recovery of different ecosystem components. This study tests a graded management framework designed to align intervention intensity with degradation level, assessing its efficacy in restoring both ecosystem structure and function, with a particular focus on soil processes. We established a restoration experiment in alpine meadows across a degradation gradient: light (LD, fencing only), moderate (MD, fencing + reseeding + fertilization), and severe (SD, intensive reseeding + fertilization), compared with non-degraded (ND) controls. Over two years, we quantified vegetation diversity, aboveground biomass, soil microbial communities (bacteria, fungi, nematodes), and 16 soil physicochemical properties to calculate soil multifunctionality. An economic cost-benefit analysis complemented the ecological assessment. We found that aboveground biomass and major soil functions recovered rapidly, even exceeding ND levels in some treatments. In contrast, plant diversity and soil microbial community composition, particularly bacteria and nematodes, remained significantly impaired. This asynchrony was most pronounced in SD grasslands. LD and MD grasslands achieved soil multifunctionality comparable to ND sites, whereas SD sites showed persistent functional deficits. Economically, interventions on LD grasslands yielded a 10.4% return, compared to a -29.5% loss for SD grasslands. Graded management effectively restores soil functions but creates a clear trade-off: productivity responds directly to resource subsidies, while biodiversity recovery lags, constrained by dispersal limitations and soil legacies. We demonstrate that prioritizing preventative interventions in LD/MD grasslands is ecologically and economically optimal. For SD systems, future strategies must address fundamental soil biotic thresholds, potentially through targeted soil amendments, to synchronize recovery trajectories.
DOI: 10.15468/dl.h4jzzz
title: Occurrence Download

description: A dataset containing 91 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "TaxonKey is Pinus sylvestris mongolica"
 ]
}

 The dataset includes 91 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006648-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18455329
title: MEDIAMATNLARDA NUTQIY AKTLARNING NAMOYON BO'LISHI

description: Bugungi kunda media matnlar kommunikatsiya jarayonining muhim vositasiga aylangan. Ular axborotni keng auditoriyaga yetkazish bilan birga, ijtimoiy, siyosiy va madaniy jarayonlarga ta’sir ko‘rsatadi. Shu sababli, media matnlarning pragmatik xususiyatlarini o‘rganish dolzarb ahamiyat kasb etadi. Ushbu maqolada zamonaviy o‘zbek media matnlarida nutqiy aktlarning namoyon bo‘lishi, ularning strukturaviy va pragmalingvistik xususiyatlari tahlil qilinadi.
DOI: 10.5281/zenodo.18455328
title: MEDIAMATNLARDA NUTQIY AKTLARNING NAMOYON BO'LISHI

description: Bugungi kunda media matnlar kommunikatsiya jarayonining muhim vositasiga aylangan. Ular axborotni keng auditoriyaga yetkazish bilan birga, ijtimoiy, siyosiy va madaniy jarayonlarga ta’sir ko‘rsatadi. Shu sababli, media matnlarning pragmatik xususiyatlarini o‘rganish dolzarb ahamiyat kasb etadi. Ushbu maqolada zamonaviy o‘zbek media matnlarida nutqiy aktlarning namoyon bo‘lishi, ularning strukturaviy va pragmalingvistik xususiyatlari tahlil qilinadi.
DOI: 10.15468/dl.kfu4v2
title: Occurrence Download

description: A dataset containing 11 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Lepisanthes ramiflora",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Specimen)"
 ]
}

 The dataset includes 11 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006649-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18221010
title: Large Language Model Embeddings from SNOMED CT

description: Embeddings for SNOMED CT concepts produced by Large Language Models (LLMs). Each NPZ file encodes a dictionary, which links the ID of a SNOMED CT concept to its corresponding embedding. The embeddings from the LLMs were obtained using the method described in LLM2Vec: Large Language Models Are Secretly Powerful Text Encoders (https://arxiv.org/abs/2404.05961) by prompting the model using the Fully-Specified Name of the concept.

File llm2vec_llama3_sct_dict.npz contains the embeddings extracted using Meta-Llama-3-8B-Instruct-mntp, whereas llm2vec_mistral7B_sct_dict.npz contains the embeddings generated using Mistral-7B-Instruct-v2-mntp. 

The metadata version of the files encodes the embeddings of metadata from SNOMED CT, such as relationships.

These embeddings were generated and studied in the paper Assessing the Effectiveness of Embedding Methods in Capturing Clinical Information from SNOMED CT () and more information can also be found in the following repository: https://github.com/JavierCastellD/AssessingSNOMEDEmbeddings.
DOI: 10.5281/zenodo.18455301
title: Large Language Model Embeddings from SNOMED CT

description: Embeddings for SNOMED CT concepts produced by Large Language Models (LLMs). Each NPZ file encodes a dictionary, which links the ID of a SNOMED CT concept to its corresponding embedding. The embeddings from the LLMs were obtained using the method described in LLM2Vec: Large Language Models Are Secretly Powerful Text Encoders (https://arxiv.org/abs/2404.05961) by prompting the model using the Fully-Specified Name of the concept.

File llm2vec_llama3_sct_dict.npz contains the embeddings extracted using Meta-Llama-3-8B-Instruct-mntp, whereas llm2vec_mistral7B_sct_dict.npz contains the embeddings generated using Mistral-7B-Instruct-v2-mntp. 

The metadata version of the files encodes the embeddings of metadata from SNOMED CT, such as relationships.

These embeddings were generated and studied in the paper Assessing the Effectiveness of Embedding Methods in Capturing Clinical Information from SNOMED CT () and more information can also be found in the following repository: https://github.com/JavierCastellD/AssessingSNOMEDEmbeddings.
DOI: 10.5281/zenodo.18431260
title: NUMISHEET 2025 Scientific Benchmark Dataset

description: The NUMISHEET 2025 Scientific Benchmark dataset was created for the scientific benchmark study presented at the NUMISHEET 2025. It provides experimental data for calibrating and validating (validationset added after the conference) material models for dual-phase steel (DP800HHE). It includes mechanical test data from various loading conditions and orientations, along with reference measurements from the Material Under Control (MUC) Test. Participants were challenged to identify the relevant material parameters and simulate the MUC-Tests using their preferred numerical methods. The benchmark study focuses on comparing the accuracy of predicted force–displacement curves and strain distributions with the experimental results. The dataset serves as an open reference for evaluating and benchmarking advanced material models in sheet metal forming simulations.
DOI: 10.5281/zenodo.18431261
title: NUMISHEET 2025 Scientific Benchmark Dataset

description: The NUMISHEET 2025 Scientific Benchmark dataset was created for the scientific benchmark study presented at the NUMISHEET 2025. It provides experimental data for calibrating and validating (validationset added after the conference) material models for dual-phase steel (DP800HHE). It includes mechanical test data from various loading conditions and orientations, along with reference measurements from the Material Under Control (MUC) Test. Participants were challenged to identify the relevant material parameters and simulate the MUC-Tests using their preferred numerical methods. The benchmark study focuses on comparing the accuracy of predicted force–displacement curves and strain distributions with the experimental results. The dataset serves as an open reference for evaluating and benchmarking advanced material models in sheet metal forming simulations.
DOI: 10.15468/dl.d9k46y
title: Occurrence Download

description: A dataset containing 26920 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "OccurrenceStatus is Present",
 "TaxonKey is Felis silvestris",
 "Year 2000-2020"
 ]
}

 The dataset includes 26920 records from 248 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006651-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gu522x
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (, , , , , , , , , , , , , , , , , , , , , , , , , , , , )",
 "BasisOfRecord is one of (Specimen, Human Observation, Observation, Living Specimen, Machine Observation, Literature Occurrence)",
 "Geometry POLYGON((109.630957 19.966667,110.78571 19.966667,110.78571 21.783333,109.630957 21.783333,109.630957 19.966667))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006650-260129131611470/datasets/export for details.
DOI: 10.15468/dl.tyaqxw
title: Occurrence Download

description: A dataset containing 31 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Observation, Human Observation, Living Specimen, Occurrence evidence)",
 "Country is Germany",
 "Geometry POLYGON((7.08598 50.73299,7.08514 50.73185,7.08927 50.73043,7.09119 50.73295,7.08699 50.73438,7.08598 50.73299))",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Arthropoda",
 "Year 2016-2026"
 ]
}

 The dataset includes 31 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006654-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34740/kaggle/dsv/14705956
title: Trending Youtube Video Statistics (113 Countries)
DOI: 10.5281/zenodo.18455359
title: АГРОТУРИЗМ - ВАЖНОЕ НАПРАВЛЕНИЕ ДЛЯ КОМПЛЕКСНОГО РАЗВИТИЯ СЕЛЬСКИХ ТЕРРИТОРИЙ

description: В статье рассматриваются теоретические и практические аспекты развития агротуризма как одного из наиболее перспективных направлений устойчивого развития сельских территорий. Анализируется европейский опыт с учётом показателей ведущих стран — Италии, Франции, Испании и Германии. Отдельное внимание уделено тенденциям формирования агротуристической инфраструктуры в Узбекистане, включая рост числа агротуристических объектов и туристов в 2020–2024 годах. Показано, что агротуризм способствует созданию рабочих мест, привлечению инвестиций, диверсификации сельской экономики и повышению уровня благосостояния сельского населения. Обосновано, что агротуризм является важным элементом устойчивого развития и может стать ключевым фактором продвижения Узбекистана на международном туристическом рынке.
DOI: 10.5281/zenodo.18455358
title: АГРОТУРИЗМ - ВАЖНОЕ НАПРАВЛЕНИЕ ДЛЯ КОМПЛЕКСНОГО РАЗВИТИЯ СЕЛЬСКИХ ТЕРРИТОРИЙ

description: В статье рассматриваются теоретические и практические аспекты развития агротуризма как одного из наиболее перспективных направлений устойчивого развития сельских территорий. Анализируется европейский опыт с учётом показателей ведущих стран — Италии, Франции, Испании и Германии. Отдельное внимание уделено тенденциям формирования агротуристической инфраструктуры в Узбекистане, включая рост числа агротуристических объектов и туристов в 2020–2024 годах. Показано, что агротуризм способствует созданию рабочих мест, привлечению инвестиций, диверсификации сельской экономики и повышению уровня благосостояния сельского населения. Обосновано, что агротуризм является важным элементом устойчивого развития и может стать ключевым фактором продвижения Узбекистана на международном туристическом рынке.
DOI: 10.15468/dl.ykatj8
title: Occurrence Download

description: A dataset containing 77502 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Material sample, Specimen, Material citation, Fossil, Occurrence evidence)",
 "Continent is Asia",
 "Country is one of (China, Chinese Taipei)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is one of (Bryophyta, Anthocerotophyta, Marchantiophyta)"
 ]
}

 The dataset includes 77502 records from 99 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006624-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.35097/55853f8gc1b5xbu8
title: Mechanistic Insights into Zn-Promoted CO₂ Electroreduction on α-CuZn Alloys in Aprotic Media

description: CO and CO₂ adsorption dataset containing optimized geometries, adsorption energies, and grand-canonical chemical potentials for CO and CO₂ on Cu and Cu₃Zn surfaces. All calculations were performed using VASPsol under applied surface charges to simulate electrochemical conditions.
description: Readme.md is included into the dataset.
DOI: 10.15468/dl.j9xvbh
title: Occurrence Download

description: A dataset containing 354 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Litchi chinensis",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Specimen)"
 ]
}

 The dataset includes 354 records from 76 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006655-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hzmntx
title: Occurrence Download

description: A dataset listing the 6 species recorded in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Culicoides oxystoma"
 ]
}

 The dataset's 6 records were derived from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006633-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5fn2kr
title: Occurrence Download

description: A dataset containing 13319 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON ((14.16751398 47.67898893, 14.55440852 47.67898893, 14.55440852 47.85659594, 14.16751398 47.85659594, 14.16751398 47.67898893))",
 "TaxonKey is one of (Bombina variegata, Actitis hypoleucos, Aegolius funereus, Aquila chrysaetos, Bonasa bonasia, Bubo bubo, Caprimulgus europaeus, Ciconia nigra, Circaetus gallicus, Columba oenas, Dendrocopos leucotos, Dryocopus martius, Falco peregrinus, Ficedula albicollis, Ficedula hypoleuca, Ficedula parva, Glaucidium passerinum, Lagopus muta, Lanius collurio, Muscicapa striata, Pernis apivorus, Picoides tridactylus, Picus canus, Scolopax rusticola, Tetrao tetrix, Tetrao urogallus, Cottus gobio, Austropotamobius torrentium, Cucujus cinnaberinus, Euphydryas aurinia, Euphydryas maturna, Euplagia quadripunctaria, Rosalia alpina, Stephanopachys substriatus, Barbastella barbastellus, Lutra lutra, Lynx lynx, Myotis bechsteinii, Myotis emarginatus, Myotis myotis, Rhinolophus hipposideros, Ursus arctos, Buxbaumia viridis, Cypripedium calceolus, Dicranum viride, Scapania carinthiaca)"
 ]
}

 The dataset includes 13319 records from 16 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006658-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/d59dmk
title: University of Tartu Natural History Museum and Botanical Garden Mycological Collections

description: The mycological collection of the University of Tartu (officially Fungarium of the University of Tartu; acronym TUF) holds dried fungi and lichens. The majority of the stored specimens have been collected by the researchers of the University of Tartu in the course of their research projects and expeditions, a smaller part has been donated by foreign and amateur researchers. The fungarium specimens are actively studied both by Estonian and foreign researchers; the material preserved here is used in compiling fungistical, taxonomic and nature conservation studies and reviews.
DOI: 10.15468/dl.eq2mfc
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (, , , , , , , , , , , , , , , , , , , , , Ateleopodiformes, , , , , , , , , , , , , , , , , , , , , , , , , , )",
 "BasisOfRecord is one of (Specimen, Human Observation, Observation, Living Specimen, Machine Observation, Literature Occurrence)",
 "Geometry POLYGON((109.630957 19.966667,110.78571 19.966667,110.78571 21.783333,109.630957 21.783333,109.630957 19.966667))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006660-260129131611470/datasets/export for details.
DOI: 10.5281/zenodo.18455371
title: MEVA-SABZAVOT KOOPERATSIYALARINING IQTISODIY RIVOJLANISH YO'NALISHLARI

description: Ushbu maqolada meva-sabzavot kooperatsiyalarining iqtisodiy  samaradorligi va ularga ta’sir etuvchi omillar  ko‘rsatilgan, ta'sir chegaralari aniqlanib tahlil etilgan.
DOI: 10.5281/zenodo.18455372
title: MEVA-SABZAVOT KOOPERATSIYALARINING IQTISODIY RIVOJLANISH YO'NALISHLARI

description: Ushbu maqolada meva-sabzavot kooperatsiyalarining iqtisodiy  samaradorligi va ularga ta’sir etuvchi omillar  ko‘rsatilgan, ta'sir chegaralari aniqlanib tahlil etilgan.
DOI: 10.5281/zenodo.18455261
title: Results Focus Groups Dscussions Consummers
DOI: 10.5281/zenodo.18455262
title: Results Focus Groups Dscussions Consummers
DOI: 10.5519/qd.29ql6d05
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (1 records)
DOI: 10.15468/dl.y9mf95
title: Occurrence Download

description: A dataset containing 725 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((0.28561840659646 46.17117603692679, 0.28027290502943 46.17226727773722, 0.278631439669804 46.16933119125343, 0.274880027081448 46.1710451137792, 0.275116403479982 46.17821570702802, 0.255571455870107 46.178018325515886, 0.256312107906649 46.17978060395745, 0.24664246681318 46.18090816849746, 0.244357648261933 46.17983461501791, 0.222118714384233 46.18438129693559, 0.216641994336424 46.18228030585418, 0.225621663480329 46.17724773348439, 0.226343538334939 46.17374679274158, 0.231597621862253 46.16902103969992, 0.229465423518156 46.16732916813996, 0.229657735391977 46.1614942159537, 0.227907490913998 46.16151368767421, 0.226089945625411 46.158428300356924, 0.228374263868167 46.15779386682807, 0.226588391198476 46.15475070520338, 0.241993967818668 46.151733446333544, 0.240291763804919 46.14343409177548, 0.243018313978626 46.142366819508695, 0.243059557150508 46.139662909892905, 0.246697795452118 46.139459254599466, 0.246998157924515 46.143677072730725, 0.253513254960104 46.14323655258109, 0.258371625659745 46.14103200232541, 0.257363712994726 46.13962097563001, 0.260822138030555 46.13556603117397, 0.266503111378754 46.13410362325111, 0.268353483978635 46.13135137146303, 0.277208173765516 46.12958903731894, 0.284812338502025 46.13064334797444, 0.285864949205709 46.134069867730354, 0.282656558570064 46.13560234692165, 0.288659096895787 46.14044556076226, 0.286573533794126 46.14086517284502, 0.285781476958229 46.145111668055684, 0.280393301256563 46.14423851024793, 0.277298687724792 46.14552669965792, 0.27834271779862 46.14752856903123, 0.282248059558429 46.148926775140595, 0.289211816723406 46.148462499157475, 0.285275509587881 46.15043811240675, 0.285124232649233 46.15257802059109, 0.281995298581695 46.154813398637984, 0.290636841494822 46.15772201660804, 0.289798180951722 46.161522319722735, 0.28561840659646 46.17117603692679))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 725 records from 33 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006665-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.