cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.sd3xcu
title: Occurrence Download

description: A dataset containing 14548 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "NetworkKey is 99d66b6c-9087-452f-a9d4-f15f2c2d0e7e",
 "TaxonKey is Chordata"
 ]
 },
 {
 "and" : [
 "BasisOfRecord is one of (Specimen)",
 "Country is one of (United States of America)",
 "StateProvince is one of (Illinois)",
 "TaxonKey is one of (Aves [GBIF Backbone Taxonomy])",
 "Geometry POLYGON((-87.82139 42.49831,-90.66281 42.51639,-90.55069 42.43886,-90.43507 42.36384,-90.41756 42.2939,-90.40004 42.23167,-90.29493 42.18496,-90.17931 42.11483,-90.17581 42.0316,-90.17581 41.93003,-90.17581 41.83351,-90.28442 41.76822,-90.3615 41.64528,-90.3685 41.59028,-90.47712 41.53261,-90.62777 41.52211,-90.74339 41.44337,-91.01667 41.4171,-91.09375 41.29876,-91.07974 41.18284,-90.96762 41.04294,-91.0632 40.88054,-91.18583 40.66828,-91.48714 40.53794,-91.4521 40.41001,-91.5537 40.14806,-91.46971 39.83065,-91.24573 39.48578,-90.99375 39.31992,-90.76044 39.11023,-90.67644 38.87813,-90.39647 38.90718,-90.22848 38.83452,-90.27515 38.64526,-90.41513 38.33847,-90.26581 38.04507,-89.71894 37.72302,-89.61628 37.53824,-89.46696 37.23422,-89.19632 36.92896,-88.97234 37.07057,-88.70169 37.13012,-88.28173 37.145,-87.93642 37.52344,-87.80928 38.24154,-87.53864 38.58522,-87.44469 39.6643,-87.26737 40.56357,-87.35861 41.66666,-87.47993 42.17358,-87.58259 42.36005,-87.82139 42.49831))",
 {
 "not" : {
 "InstitutionCode" : [
 "is one of (FMNH)"
 ]
 }
 }
 ]
 }
 ]
}

 The dataset includes 14548 records from 44 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001993-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.3886/e244764
title: Multiple warming does not alter the regulation of DOM by soil layers in a subtropical primary forest

description: <b>Abstruct</b><b></b>Climate warming substantially affects the carbon sequestration potential and ecosystem functions of forest ecosystems. As a labile fraction of soil organic matter (SOM), dissolved organic matter (DOM) serves as a pivotal mediator in terrestrial carbon cycling. Nevertheless, the long-term effects of climate warming on DOM dynamics in forests remain poorly understood. In this study, we conducted a five-year in situ infrared warming experiment with multiple temperature gradients (+0℃, +0.8℃, +1.5℃, +3.0℃, and +4.2℃) in the subtropical primary forest of the Ailao Mountains in southwest China. We systematically evaluated the content and compositional characteristics of DOM across different warming levels and soil depths, then identified the predominant factors influencing their variation. The results indicated that warming did not significant affect the overall DOM content, although changes in molecular composition were obvious. Fluorescence analysis showed that humic-like substances generally increased under most warming scenarios and soil layers, especially at +4.2℃. Fourier transform infrared spectroscopy indicated that warming enhanced the degradation of low molecular weight DOM in surface soils but promoted their accumulation in deeper layers. Ultraviolet spectroscopy revealed that DOM aromaticity, humification degree, and molecular weight responded to warming. Structural equation modeling and random forest analysis showed that DOM content was primarily regulated by soil depth and nutrient availability, while the warming effect was not statistically significant. These findings suggest that subtropical primary forests with low-disturbance can buffer the impacts of climate warming on soil DOM dynamics through a synergistic mechanism involving vertical soil stratification and rich nutrient reserves.
DOI: 10.3886/e244764v1
title: Multiple warming does not alter the regulation of DOM by soil layers in a subtropical primary forest

description: <b>Abstruct</b><b></b>Climate warming substantially affects the carbon sequestration potential and ecosystem functions of forest ecosystems. As a labile fraction of soil organic matter (SOM), dissolved organic matter (DOM) serves as a pivotal mediator in terrestrial carbon cycling. Nevertheless, the long-term effects of climate warming on DOM dynamics in forests remain poorly understood. In this study, we conducted a five-year in situ infrared warming experiment with multiple temperature gradients (+0℃, +0.8℃, +1.5℃, +3.0℃, and +4.2℃) in the subtropical primary forest of the Ailao Mountains in southwest China. We systematically evaluated the content and compositional characteristics of DOM across different warming levels and soil depths, then identified the predominant factors influencing their variation. The results indicated that warming did not significant affect the overall DOM content, although changes in molecular composition were obvious. Fluorescence analysis showed that humic-like substances generally increased under most warming scenarios and soil layers, especially at +4.2℃. Fourier transform infrared spectroscopy indicated that warming enhanced the degradation of low molecular weight DOM in surface soils but promoted their accumulation in deeper layers. Ultraviolet spectroscopy revealed that DOM aromaticity, humification degree, and molecular weight responded to warming. Structural equation modeling and random forest analysis showed that DOM content was primarily regulated by soil depth and nutrient availability, while the warming effect was not statistically significant. These findings suggest that subtropical primary forests with low-disturbance can buffer the impacts of climate warming on soil DOM dynamics through a synergistic mechanism involving vertical soil stratification and rich nutrient reserves.
DOI: 10.5281/zenodo.15592332
title: Dataset for "DIRT: a Literature-Based Benchmark Suite for Grounders"

description: Reproducing benchmark results

This requires docker.First load DIRT_container.tar.gz into docker with docker load < ./DIRT_container.tar.gz or something similar.Then making sure you're in the DIRT directory, run ./docker_run_bench.The final step is to wait a week.

Files



DIRT.zip contains the DIRT benchmark suite.

JELIA_2025_benchmark_results.zip contains the raw results used in the JELIA paper.

SLR.zip contains the raw results and all intermediate files used in the systematic literature review, with all abstracts and other copyrightable material removed.

DIRT_container.tar.gz a docker image containing all the dependencies and reasoning engines required to run the DIRT benchmark. This is the exact container used for the creation of JELIA_2025_benchmark_results.zip. Can be used in the same way as the README in DIRT.zip in the Docker container section explains about the result file.
DOI: 10.5281/zenodo.15592331
title: Dataset for "DIRT: a Literature-Based Benchmark Suite for Grounders"

description: Reproducing benchmark results

This requires docker.First load DIRT_container.tar.gz into docker with docker load < ./DIRT_container.tar.gz or something similar.Then making sure you're in the DIRT directory, run ./docker_run_bench.The final step is to wait a week.

Files



DIRT.zip contains the DIRT benchmark suite.

JELIA_2025_benchmark_results.zip contains the raw results used in the JELIA paper.

SLR.zip contains the raw results and all intermediate files used in the systematic literature review, with all abstracts and other copyrightable material removed.

DIRT_container.tar.gz a docker image containing all the dependencies and reasoning engines required to run the DIRT benchmark. This is the exact container used for the creation of JELIA_2025_benchmark_results.zip. Can be used in the same way as the README in DIRT.zip in the Docker container section explains about the result file.
DOI: 10.15468/dl.nrarue
title: Occurrence Download

description: A dataset containing 34850 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Sinibotia zebra, Myoxocephalus sinensis, Ctenogobius aestivaregia, Coreoperca loona, Sinogastromyzon hsiashiensis, Beaufortia pingi, Beaufortia zebroidus, Leptobotia tchangi, Pseudobagrus sinyanensis, Parazacco fasciatus, Leptobotia tientainensis, Sinogastromyzon szechuanensis, Luciogobius brevipterus, Micropercops borealis, Leptobotia taeniops, Cyprinus fuxianensis, Leptobotia hengyangensis, Heminoemacheilus zhengbaoshani, Otopharynx pachycheilus, Rasbora gerlachi, Lentipes kaaea, Linichthys laticeps, Ptychidio longibarbus, Yunnanilus discoloris, Amblyeleotris cephalotaenius, Garra mirofrontis, Protonemacheilus longipectoralis, Formosania chenyiyui, Barbatula altayensis, Yunnanilus analis, Yunnanilus longibulla, Leptobotia posterodorsalis, Discocheilus wui, Leiocassis longibarbus, Nemacheilus huapingensis, Yunnanilus elakatis, Onychostoma daduense, Beaufortia polylepis, Homatula acuticephala, Yunnanilus caohaiensis, Leptobotia guilinensis, Cyprinus qionghaiensis, Yunnanilus yangzonghaiensis, Ptychidio macrops, Lepidobero sinensis, Paraprotomyzon bamaensis, Parabotia bimaculata, Heminoemacheilus hyalinus, Oreonectes retrodorsalis, Yunnanilus obtusirostris, Beaufortia intermedia, Acrossocheilus jishouensis, Pseudocrossocheilus liuchengensis, Discocheilus multilepis, Paraprotomyzon lungkowensis, Yunnanilus macrositanus, Yunnanilus forkicaudalis, Derhamia hoffmannorum, Odontostilbe stenodon, Labiobarbus lineatus, Vanmanenia homalocephala, Sinocyclocheilus lingyunensis, Sinocyclocheilus macrophthalmus, Triplophysa zhenfengensis, Triplophysa nasobarbatula, Parabotia lijiangensis, Parabotia parva, Hongshuia microstomatus, Rhinogobius, Scriptaphyosemion chaytori, Scriptaphyosemion etzeli, Hyphessobrycon columbianus, Epiplatys ansorgii, Pseudogastromyzon meihuashanensis, Lepidocephalichthys arunachalensis, Puntius sophoroides, Proeutropiichthys buchanani, Amblyceps tenuispinis, Yongeichthys tuticorinensis, Puntius crescentus, Sperata aorella, Parapsilorhynchus elongatus, Nangra assamensis, Nemacheilus drassensis, Nemacheilus shehensis, Glyptothorax davissinghi, Nemacheilus menoni, Myersglanis jayarami, Enteromius lornae, Eleotris soaresi, Apareiodon argenteus, Apareiodon cavalcante, Apareiodon tigrinus, Opsaridium boweni, Heteropneustes longipectoralis, Nemacheilus kaimurensis, Pethia manipurensis, Akysis manipurensis, Neonoemacheilus morehensis, Macrognathus morehensis)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 34850 records from 145 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001994-260129131611470/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.31211008
title: data

description: data for paper 'Long-Horizon Reinforcement Learning With Preference-Based Utility for Risk-Aware Trading in Electricity Markets'
DOI: 10.6084/m9.figshare.31211008.v2
title: data

description: data for paper 'Long-Horizon Reinforcement Learning With Preference-Based Utility for Risk-Aware Trading in Electricity Markets'
DOI: 10.6084/m9.figshare.31211008.v1
title: data for paper 'Long-Horizon Reinforcement Learning With Preference-Based Utility for Risk-Aware Trading in Electricity Markets'

description: data for paper 'Long-Horizon Reinforcement Learning With Preference-Based Utility for Risk-Aware Trading in Electricity Markets'
DOI: 10.21227/0h5c-y573
title: "Multi-Source Agricultural Dataset for Crop Classification Using Soil Nutrients and Multispectral Vegetation Indices"

description: "This dataset presents a multi-source agricultural feature collection designed for crop classification and precision farming research. It integrates soil nutrient parameters (Nitrogen, Phosphorus, Potassium, and pH), environmental temperature, multispectral satellite-style reflectance bands (B2, B3, B4, B8), and derived vegetation indices including NDVI, SAVI, GNDVI, EVI, and TVI. Additionally, a crop stress level indicator is included to reflect plant health conditions.The dataset supports machine learning and remote sensing applications for intelligent crop type prediction, crop health monitoring, and sustainable agriculture modeling. It is structured for multi-class crop classification tasks involving major crops such as rice, maize, coconut, and sugarcane. The features represent realistic agricultural, soil, and spectral conditions, making the dataset suitable for developing, benchmarking, and validating AI and hybrid classical\u2013quantum learning models in precision agriculture."
DOI: 10.15468/dl.9uhvfr
title: Occurrence Download

description: A dataset containing 4138 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Agalychnis dacnicolor"
 ]
}

 The dataset includes 4138 records from 76 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001995-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18108456
title: The cumulative effects between air pollution, greenspace, physical activity, and mental health across mobility-based geographic contexts
DOI: 10.18157/qogoecdjan26
title: The Quality of Government OECD Dataset, version Jan26
DOI: 10.18157/qogbasjan26
title: The Quality of Government Basic Dataset, version Jan26
DOI: 10.18157/qogstdjan26
title: The Quality of Government Standard Dataset, version Jan26
DOI: 10.2909/f25b4715-d18b-4f87-b869-7e96fd385700
title: Water Exploitation Index plus (WEI+) at river basin level, 2023

description: This metadata covers the vector dataset of the Water Exploitation Index Plus (WEI+) at European river basin district levels for the years 2000 to 2023, broken down into four quarters each year.
Q1: Jan., Feb., Mar.
Q2: Apr., May, Jun.
Q3: Jul., Aug., Sep.
Q4: Oc., Nov., Dec.

The Water Exploitation Index plus (WEI+) aims to illustrate pressure on renewable water resources of a defined territory (river basin districts) in a given period (e.g. seasonal, annual) as a consequence of water use for human activities. Values above 20 % indicate that water resources are under stress, and above 40 % indicate severe stress and a clearly unsustainable use of freshwater resources (Raskin et al., 1997). The WEI+ has been estimated as the quarterly average per river basin district, for the years 2000-2023.

The downloadable data is provided in two datasets:
- Spatial data in SHP format.
- WEI+ data in Excel format, covering four quarters per year from 2000 to 2023.

The datasets can be linked via a spatial join using SHP.thematicId and Excel.spatialUnitIdentifier, ensuring the data is filtered by year and quarter.
DOI: 10.15468/dl.bt8eaa
title: Occurrence Download

description: A dataset containing 13373 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Garra compressus, Cabdio ukhrulensis, Cobitis dolichorhynchus, Onychostoma barbatum, Onychostoma macrolepis, Takifugu orbimaculatus, Rhodeus monguonensis, Anchicyclocheilus halfibindus, Notarius cookei, Cathorops nuchalis, Cathorops variolosus, Hexanematichthys henni, Astyanax aeneus, Bagrichthys majusculus, Bagrichthys vaillantii, Mystus abbreviatus, Batasio pakistanicus, Hemibagrus caveatus, Hemibagrus centralus, Hemibagrus chrysops, Hemibagrus vietnamicus, Hemibagrus hongus, Leiocassis doriae, Mystus canarensis, Mystus castaneus, Mystus punctifer, Pseudomystus flavipinnis, Sperata acicularis, Trachelyopterus brevibarbis, Trachelyopterus isacanthus, Trachelyopterus analis, Trachelyopterus porosus, Enteromius venustus, Kuhlia xenura, Kuhlia malo, Kuhlia salelea, Corydoras mamore, Ictiobus labiosus, Moxostoma breviceps, Moxostoma collapsum, Lepomis miniatus, Clarias intermedius, Acantopsis thiemmedhi, Stenogobius yateiensis, Cobitis bilseli, Cobitis lebedevi, Cobitis levantina, Cobitis pacifica, Cobitis tetralineata, Cobitis rhodopensis, Cobitis matsubarae, Cobitis satunini, Cobitis tanaitica, Leptobotia microphthalma, Misgurnus buphoensis, Misgurnus nikolskyi, Leptobotia rubrilabris, Pseudogastromyzon daon, Formosania davidi, Pseudogastromyzon buas, Coregonus alpenae, Dienbienia namnuaensis, Gastromyzon embalohensis, Vanmanenia tetraloba, Oxynoemacheilus namiri, Cottus bendirei, Cottus hubbsi, Schistura kaysonei, Paraschistura chrysicristinae, Schistura thanho, Moenkhausia dorsinuda, Hemigrammus neptunus, Etheostoma atripinne, Eudontomyzon stankokaramani, Triplophysa paradoxa, Triplophysa incipiens, Schistura deignani, Oreonectes furcocaudalis, Pseudogastromyzon fasciatus, Schistura namboensis, Schistura altipedunculata, Gila nigra, Schistura psittacula, Schistura sokolovi, Schistura susannae, Triplophysa alexandrae, Schistura yersini, Triplophysa aquaecaeruleae, Triplophysa eugeniae, Triplophysa hialmari, Triplophysa rossoperegrinatorum, Yunnanilus longidorsalis, Yunnanilus macrolepis, Apistogramma rubrolineata, Lethenteron mitsukurii, Ilyodon xantusi, Misgurnus mohoity, Bryconamericus agna, Bryconamericus gonzalezi, Bryconamericus mennii)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 13373 records from 118 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001996-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.up7xvx
title: Occurrence Download

description: A dataset containing 3660 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Opiliones",
 "Year 1999-2001",
 "Continent is Europe",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Machine Observation, Human Observation, Occurrence evidence, Observation)"
 ]
}

 The dataset includes 3660 records from 61 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0049599-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.95sz48
title: Occurrence Download

description: A dataset containing 487 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Platerodrilus"
 ]
}

 The dataset includes 487 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0049600-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.u9rnse
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Gibelion catla",
 "HasCoordinate is true",
 "Geometry POLYGON((-78 12, -73 12, -73 0, -78 0, -78 12))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0034522-251025141854904/datasets/export for details.
DOI: 10.15468/dl.944be6
title: Occurrence Download

description: A dataset containing 69 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "OccurrenceStatus is Present",
 "TaxonKey is Eucephalus vialis"
 ]
}

 The dataset includes 69 records from 21 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0034523-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.uxxfjp
title: Occurrence Download

description: A dataset containing 2436220 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Continent is one of (South America, North America)",
 "OccurrenceStatus is Present",
 "TaxonKey is one of (Lycopodiopsida, Polypodiopsida)"
 ]
}

 The dataset includes 2436220 records from 885 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0034511-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bznn9f
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Gila atraria",
 "HasCoordinate is true",
 "Geometry POLYGON((-78 12, -73 12, -73 0, -78 0, -78 12))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0034526-251025141854904/datasets/export for details.
DOI: 10.15468/dl.ur8ycu
title: Occurrence Download

description: A dataset containing 1063 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Hypostomus plecostomus"
 ]
}

 The dataset includes 1063 records from 96 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0034525-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.f5g67m
title: Occurrence Download

description: A dataset containing 105939 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON ((-106.4688 23.09913, -106.3188 23.09913, -106.3188 23.24913, -106.4688 23.24913, -106.4688 23.09913))"
 ]
}

 The dataset includes 105939 records from 360 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0034491-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17588845
title: WGS of Alauda gulgula - A7996
DOI: 10.5281/zenodo.17588844
title: WGS of Alauda gulgula - A7996
DOI: 10.6084/m9.figshare.30625754
title: Date for paper "Effect of gradation on confined compression and creep of calcareous sand and the coefficient of earth pressure at rest"

description: In the study, lateral compression tests and multi-level creep tests were conducted on calcareous sands with different gradations using a tailor-made model box. using a tailor-made model box. The compression and creep deformation, particle breakage, internal stress evolution and the variation of the coefficient of earth pressure at rest <i>K</i><sub><em>0</em></sub><sub><em> </em></sub>under different stress levels for calcareous sands were investigated. It reveals that, under the same loading conditions, the compression deformation, creep deformation, creep rate and <i>K</i><sub><em>0</em></sub> decrease as the coefficient of uniformityof the calcareous sands increases. This can be attributed to the rearrangement of particle positions and particle breakage. Asincreases, the content of fine particles increases, filling the voids between the relatively large particle skeletons. This can enhance the particle interlocking and suppress the particle rearrangement and breakage, which in turn leads to reduced deformation and <i>K</i><sub><em>0</em></sub>. As the vertical stress increases, significant particle breakage occurs, resulting in an increasing lateral deformation of the sample, which induces increased lateral stress and a corresponding elevation in <i>K</i><sub><em>0</em></sub>. Additionally, particle breakage alters the contacts between particles, intensifying stress redistribution. Consequently, the distribution of vertical and lateral stresses within calcareous sand transitions from a Weibull distribution to a Gaussian distribution.