cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6073/pasta/201de89dbf7b334b670d633d9f716cc6
title: Root biomass data: Biodiversity II: Effects of Plant Biodiversity on Population and Ecosystem Processes

description: Biodiversity II (E120) is designed to determine how the number of plant species affects the dynamics of ecological processes at the population, community, and ecosystem levels. By experimentally manipulating the number of species and the kinds of species, the amount of plant growth and the change from year to year, that result can be examined. Plots are large (9m x 9m actively maintained) and well-replicated, allowing responses of plant pathogens, insect herbivores, seed predators, soil parameters, invasive plant species and other variables to also be studied. Plots were seeded in May 1994 to have 1, 2, 4, 8, or 16 species, with roughly 30 replicates of each diversity level. The species composition of each plot was chosen by random draw from a pool of 18 grassland perennials that included four warm-season (C4) grasses, four cool-season (C3) grasses, four legumes, four non-legume forbs, and two woody species. All species occur in monoculture allowing comparison of responses of each species in monoculture to combinations of these same species. The experiment was established in 1994 by the lead investigators David Tilman, Peter Reich, Johannes Knops, and David Wedin. Experiment 120 is similar to Experiment 123, but it uses larger plots to provide a large capacity for long-term subexperiments.
DOI: 10.6084/m9.figshare.11471409
title: MOESM1 of Maize brachytic2 (br2) suppresses the elongation of lower internodes for excessive auxin accumulation in the intercalary meristem region

description: Additional file 1: Table S1. Probe sequences for BR2 in situ hybridization and primers used for sequencing and qRT-PCR as well as homologous recombinant.
DOI: 10.6084/m9.figshare.11471409.v1
title: MOESM1 of Maize brachytic2 (br2) suppresses the elongation of lower internodes for excessive auxin accumulation in the intercalary meristem region

description: Additional file 1: Table S1. Probe sequences for BR2 in situ hybridization and primers used for sequencing and qRT-PCR as well as homologous recombinant.
DOI: 10.6084/m9.figshare.24054331
title: Additional file 3 of Elevated expression of the RNA-binding protein IGF2BP1 enhances the mRNA stability of INHBA to promote the invasion and migration of esophageal squamous cancer cells

description: Additional file 3: Table S8-10. Table S8. Potential target genes of IGF2BP1 identified using RIP-seq. Table S9. Candidate genes selected from RIP-seq results. Table S10. Relative mRNA expression of candidate genes after IGF2BP1 knockdown in KYSE30 and TE1 cells.
DOI: 10.6084/m9.figshare.24054331.v1
title: Additional file 3 of Elevated expression of the RNA-binding protein IGF2BP1 enhances the mRNA stability of INHBA to promote the invasion and migration of esophageal squamous cancer cells

description: Additional file 3: Table S8-10. Table S8. Potential target genes of IGF2BP1 identified using RIP-seq. Table S9. Candidate genes selected from RIP-seq results. Table S10. Relative mRNA expression of candidate genes after IGF2BP1 knockdown in KYSE30 and TE1 cells.
DOI: 10.6084/m9.figshare.24054340
title: Additional file 6 of Elevated expression of the RNA-binding protein IGF2BP1 enhances the mRNA stability of INHBA to promote the invasion and migration of esophageal squamous cancer cells

description: Additional file 6: Table S11-13. Table S11. Potential interactive proteins of IGF2BP1 identified using MS. Table S12. Proteins identified using MS that regulate RNA. Table S13. Candidate interacting proteins of IGF2BP1 selected from Co-IP-MS.
DOI: 10.6084/m9.figshare.24054340.v1
title: Additional file 6 of Elevated expression of the RNA-binding protein IGF2BP1 enhances the mRNA stability of INHBA to promote the invasion and migration of esophageal squamous cancer cells

description: Additional file 6: Table S11-13. Table S11. Potential interactive proteins of IGF2BP1 identified using MS. Table S12. Proteins identified using MS that regulate RNA. Table S13. Candidate interacting proteins of IGF2BP1 selected from Co-IP-MS.
DOI: 10.21227/vz3y-3439
title: IEEEXtreme 15: Secret Boxes

description: This dataset contains a total of 1258 submissions, with 1% correct solutions and 34% partial solutions. Link to the original challenge: https://csacademy.com/ieeextreme-practice/task/secret-boxes/ See the included PDF document for details about the original challenge.
DOI: 10.7924/r4vt1vh11
title: Data from: Machine Learning Approaches in Non-Contact Autofluorescence Spectrum Classification

description: Manual surgical resection of soft tissue sarcoma tissue can involve many challenges, including the critical need for precise determination of tumor boundary with normal tissue and limitations of current surgical instrumentation, in addition to standard risks of infection or tissue healing difficulty.  Substantial research has been conducted in the biomedical sensing landscape for development of non-human contact sensing devices. One such point-of-care platform, previously devised by our group, utilizes autofluorescence-based spectroscopic signatures to highlight important physiological differences in tumorous and healthy tissue. The following study builds on this work, implementing classification algorithms, including Artificial Neural Network, Support Vector Machine, Logistic Regression, and K-Nearest Neighbors, to diagnose freshly resected murine tissue as sarcoma or healthy. Classification accuracies of over 90% are achieved with Logistic Regression, and Area Under the Curve scores over 94% are achieved with Support Vector Machines, delineating a clear way to automate photonic diagnosis of ambiguous tissue in assistance of surgeons. These interpretable algorithms can also be linked to important physiological diagnostic indicators, unlike the black-box ANN architecture. This is the first known study to use machine learning to interpret data from a non-contact autofluorescence sensing device on sarcoma tissue, and has direct applications in rapid intraoperative sensing.
DOI: 10.21227/qawr-da88
title: IEEEXtreme 15: Big Matrix Small Determinant

description: This dataset contains a total of 2780 submissions, with 0% correct solutions and 77% partial solutions. Link to the original challenge: https://csacademy.com/ieeextreme-practice/task/big-matrix-small-determinant/ See the included PDF document for details about the original challenge.
DOI: 10.15468/h5wnmp
title: 2022_SEGED_3

description: 2022_SEGED_Tiragon:SEGED / données fournies par SEGED en 2022
DOI: 10.15468/4jsa4n
title: Projet d'aménagement du quartier de la Sauvegarde à Lyon - SERL - La Sauvegarde - avifaune

description: Données avifaune récoltées dans le cadre du diagnostic écologique du site.
DOI: 10.15468/9gg23q
title: Parc éolien de Haut Languedoc - Suivi post-implantation du parc éolien du Haut Languedoc en 2021

description: Suivi de la mortalité Suivi des chiroptères au sol et en nacelle
DOI: 10.15468/9kmp7z
title: Données mycologiques FongiFrance-Données mycologiques personnelles AdoniF (2021)

description: Données mycologiques personnelles fournies par les membres d'AdoniF sur le portail FongiBase en 2021
DOI: 10.15468/rbme68
title: Société d'Exploitation du Parc Eolien Helios - Suivi post-implantation 2021 du parc éolien d'Apremont - Part2

description: Suivi en hauteur sur nacelle des chiroptères Suivi de mortalité du parc éolien
DOI: 10.15468/j2x99z
title: EDPR FRANCE HOLDING - Parc Eolien de Louvières - [SUIVI] Suivi mortalité sur le parc éolien de Louvières

description: Suivi mortalité réalisé en 2021
DOI: 10.15468/nqbxjs
title: Suivi environnemental 2021 Cernon 2-3 - 2021 Cernon 2-3 Activité chiroptères

description: 2021 Cernon 2-3 Activité chiroptères
DOI: 10.15468/tk6wrz
title: 2022_Communauté de Communes des Alpes d'Azur_3

description: 2022_CCAA_N2000:Communauté de Communes des Alpes d'Azur
DOI: 10.15468/p487vv
title: EDPR FRANCE HOLDING - PARC EOLIEN DE LA COTE DU CERISAT - Données brutes suivi nacelle 2021 - parc éolien Cote du Cerisat (51)

description: Données brutes suivi nacelle 2021 - parc éolien Cote du Cerisat (51)
DOI: 10.15468/hmrbaj
title: Parc éolien de Vouillon - Suivi écologique - 2021-Parc éolien de Vouillon - Suivi de mortalité - 2021

description: Parc éolien de Vouillon - Suivi de mortalité (avifaune et chiroptères) - 2021
DOI: 10.15468/96r5ak
title: Parc éolien de La Saronde - Suivi activité chiroptères 2021 parc éolien La Saronde

description: Suivi de l'activité des chiroptères à hauteur de nacelles en 2021 sur le parc éolien de la Saronde
DOI: 10.15468/n6av5a
title: Parc éolien de Haut Languedoc - Suivi post-implantation du parc éolien du Haut Languedoc en 2021 V2

description: Suivi au sol et en continu de l'activité des chiroptères
DOI: 10.15468/8nrkuc
title: Eoliennes vent de seine - Parc éolien de Seine Rive Nord - Données brutes 2021 post-implantation parc éolien SRN - Acoustique Chiro P2

description: 2ème partie du jeu de données brutes 2021 du suivi post-implantation du parc éolien de Seine Rive gauche Nord - Suivi acoustique des chiroptères en nacelle
DOI: 10.15468/g6vd29
title: Parc éolien de Mont de Villey - SUIVI_CHIROPTERES_2021_MONT_DE_VILLEY

description: Résultats du suivi chiroptères pour le parc éolien de Mont-de-Villey pour l'année 2021
DOI: 10.15468/cy6nqn
title: Parc eolien nordex xvi - Parc éolien Seine Rive Nord - Données brutes 2021 post-implantation parc éolien SRN - Acoustique Chiro

description: Jeu de données brutes 2021 du suivi post-implantation du parc éolien de Seine Rive gauche Nord PENXVI - Suivi acoustique des chiroptères en nacelle
DOI: 10.15468/7ps8hn
title: 2022_GRENHA_1

description: 2022_GRENHA_2:GRENHA / données fournies par GRENHA en 2022
DOI: 10.15468/qddwfj
title: 2022_Association REVE_1

description: 2022_REVE:Association REVE
DOI: 10.15468/hprcsz
title: [SUIVI] 2020-2022 Inventaire annuel du parc éolien foret de thivolet-FDT Suivi d'activité 2021 E1

description: Suivi d'activité 2021 en nacelle et en base de l'éolienne E1 pour le parc de Forêt de Thivolet
DOI: 10.15468/n36wnq
title: Parc éolien Eole de la Plaine d'Osne-le-Val - 2021/2022 - CHIROPTERES OV9

description: Suivi environmental de parc éolien (suivi d'activité de l'avifaune et des chiroptères + suivi de la mortalité)
DOI: 10.15468/hqtvj9
title: [SUIVI] 2020-2022 Inventaire annuel du parc éolien foret de thivolet-FDT Suivi d'activité 2021 E7

description: Suivi d'activité 2021 en nacelle et en base de l'éolienne E7 pour le parc de Forêt de Thivolet
DOI: 10.15468/jkw2y3
title: Société d'Exploitation du Parc Eolien Helios - Suivi post-implantation 2021 du parc éolien d'Apremont - Part 1

description: Suivi en hauteur de l'activité des chiroptères Suivi de mortalité
DOI: 10.15468/3u6fk9
title: Parc éolien de Courdemanges-avifaune

description: Avifaune / Le projet de parc éolien de Courdemanges comprendra 4 aérogénérateurs d’une puissance nominale maximale de 5,5 MW et d'une hauteur maximale de 180 mètres en bout de pale.
DOI: 10.15468/y7efau
title: Parc éolien de La Baume - La Baume : suivi d'activité des chauves-souris (hauteur) 2018-2021

description: Suivi d'activité des chauves-souris en nacelle 2018-2021
DOI: 10.15468/8tpf87
title: Parc éolien de la Côte Warin-Warin_chiro_SMbat

description: Espèces de chiroptères identifiées par SMbat dans le cadre du projet éolien de la Côte Warin.
DOI: 10.15468/8w7wfx
title: Suivi de mortalité Parc éolien d'Echalot - 2021

description: Suivi de mortalité parc éolien d'Echalot - 2021
DOI: 10.15468/cueegv
title: Recorbet_datafaunefrance2020 - FF_TH_2017-2021

description: Données personnelles Bernard Recorbet Faune france Tortues d'hermann 2017-2021
DOI: 10.15468/sktge2
title: Société d'Exploitation du Parc Eolien Helios - Suivi post-implantation 2021 du parc éolien d'Apremont - Part 3

description: Suivi d'activité à hauteur de nacelle des chiroptères Suivi de mortalité du parc éolien
DOI: 10.15468/smxb7w
title: [SUIVI] Parc éolien Bois de Montrigaud 2019 à 2022-BDM Suivi d'activité 2021 E9

description: Suivi d'activité 2021 en nacelle et en base de l'éolienne E9 pour le parc de Bois de Montrigaud
DOI: 10.15468/8qh45u
title: [SUIVI] Parc éolien Bois de Montrigaud 2019 à 2022-BDM Suivi d'activité 2021 E3

description: Suivi d'activité 2021 en nacelle et en base de l'éolienne E3 pour le parc de Bois de Montrigaud
DOI: 10.15468/dzb7ey
title: Parc éolien Eole de la Plaine d'Osne-le-Val - 2021/2022 - CHIROPTERES OV10

description: Suivi environmental de parc éolien (suivi d'activité de l'avifaune et des chiroptères + suivi de la mortalité)
DOI: 10.15468/ve7yh3
title: Parc éolien de Pays d'Othe-Pays d'Othe Suivi nacelle Chiroptères 2021

description: Suivi environnemental 2021 - avril à octobre 2021 - données brutes d'écoutes chiroptérologiques à hauteur de nacelle
DOI: 10.15468/ncmfhn
title: Parc éolien de l'Epine Amanty - L'Epine Amanty - 2021 - PostNuptial

description: Suivi migration par point d'observation en milieux agricole et de lisière et observations réalisées en suivi de mortalité
DOI: 10.15468/rw7rpf
title: Parc éolien Eole de la Plaine d'Osne-le-Val - 2021/2022 - MORTALITE

description: Suivi environmental de parc éolien (suivi d'activité de l'avifaune et des chiroptères + suivi de la mortalité)
DOI: 10.15468/mqrkxb
title: Eoliennes vent de seine - Parc éolien de Seine Rive Nord - Données brutes 2021 post-implantation parc éolien SRN - Acoustique Chiro P1

description: 1ère partie du jeu de données brutes 2021 du suivi post-implantation du parc éolien de Seine Rive gauche Nord - Suivi acoustique des chiroptères en nacelle
DOI: 10.6084/m9.figshare.11471493
title: MOESM2 of Genome-wide analysis of polygalacturonase gene family from pear genome and identification of the member involved in pear softening

description: Additional file 2: Table S1. Information on 61 PbrPGs from pear genome. Table S2. ESTs for putative PbrPGs. Table S3. Gene features of PG family genes from pear. Table S4. Cis-acting regulatory elements identified in the promoters of PbrPGs. Table S5. Motif sequences identified by MEME tools in PbrPGs. Table S6. Duplication types of PbrPG genes in pear genome. Table S7. Ka/Ks ratios of paralogous genes in PbrPG gene family. Table S8. Promoters analysis of PbrPG6 using PLACE Web Signal Scan. Table S9. Information of PG genes from Arabidopsis and peach. Table S10. Primers used in this study. (XLS 667 kb)
DOI: 10.6084/m9.figshare.11471493.v1
title: MOESM2 of Genome-wide analysis of polygalacturonase gene family from pear genome and identification of the member involved in pear softening

description: Additional file 2: Table S1. Information on 61 PbrPGs from pear genome. Table S2. ESTs for putative PbrPGs. Table S3. Gene features of PG family genes from pear. Table S4. Cis-acting regulatory elements identified in the promoters of PbrPGs. Table S5. Motif sequences identified by MEME tools in PbrPGs. Table S6. Duplication types of PbrPG genes in pear genome. Table S7. Ka/Ks ratios of paralogous genes in PbrPG gene family. Table S8. Promoters analysis of PbrPG6 using PLACE Web Signal Scan. Table S9. Information of PG genes from Arabidopsis and peach. Table S10. Primers used in this study. (XLS 667 kb)
DOI: 10.6084/m9.figshare.14617229
title: S-2 porosity_v1_0_20210422_9.xlsx from Full-scale pore size distribution features of uranium-bearing sandstone in the northwest of Xinjiang, China

description: As an important nuclear fuel, uranium in sandstone uranium deposits is mainly extracted by <i>in situ</i> leaching. The porosity of sandstone is one of the important indexes determining <i>in situ</i> leaching efficiency. Moreover, the microscopic pore size distribution (PSD) of the uranium-bearing layer has an important effect on porosity. It is necessary to feature the pore structure by various techniques because of the different pore types and sizes in the uranium layer. In this paper, combined with nitrogen gas adsorption, nuclear magnetic resonance techniques and scanning electron microscopy, the full-scale PSD features of uranium-bearing sandstone in the northwest of Xinjiang are effectively characterized. The results show that pores structure of uranium-bearing sandstone include dissolution pores (<i>d </i>≤ 50 nm), intergranular pores (50 nm &lt; <i>d</i> ≤ 200 µm) and microfractures. Intergranular pores of 60 nm and 1 µm are the significant contributors to pore volume. The effects of the pore volume of two-pore types (dissolution pores and intergranular pores) on the porosity of uranium-bearing sandstone are analysed. The results show that intergranular pores have the greater influence on the porosity and are positively correlated to the porosity. Dissolution pores have little effect on the porosity, but it is one of the key factors for improving uranium recovery. Moreover, the greater the difference of PSD between sandstones, the stronger the interlayer heterogeneity of uranium-bearing sandstone. This kind of interlayer heterogeneity leads to the change of permeability in the horizontal direction of strata. It provides a basis for a reasonable setting of well type and well spacing parameters.
DOI: 10.6084/m9.figshare.14617229.v1
title: S-2 porosity_v1_0_20210422_9.xlsx from Full-scale pore size distribution features of uranium-bearing sandstone in the northwest of Xinjiang, China

description: As an important nuclear fuel, uranium in sandstone uranium deposits is mainly extracted by <i>in situ</i> leaching. The porosity of sandstone is one of the important indexes determining <i>in situ</i> leaching efficiency. Moreover, the microscopic pore size distribution (PSD) of the uranium-bearing layer has an important effect on porosity. It is necessary to feature the pore structure by various techniques because of the different pore types and sizes in the uranium layer. In this paper, combined with nitrogen gas adsorption, nuclear magnetic resonance techniques and scanning electron microscopy, the full-scale PSD features of uranium-bearing sandstone in the northwest of Xinjiang are effectively characterized. The results show that pores structure of uranium-bearing sandstone include dissolution pores (<i>d </i>≤ 50 nm), intergranular pores (50 nm &lt; <i>d</i> ≤ 200 µm) and microfractures. Intergranular pores of 60 nm and 1 µm are the significant contributors to pore volume. The effects of the pore volume of two-pore types (dissolution pores and intergranular pores) on the porosity of uranium-bearing sandstone are analysed. The results show that intergranular pores have the greater influence on the porosity and are positively correlated to the porosity. Dissolution pores have little effect on the porosity, but it is one of the key factors for improving uranium recovery. Moreover, the greater the difference of PSD between sandstones, the stronger the interlayer heterogeneity of uranium-bearing sandstone. This kind of interlayer heterogeneity leads to the change of permeability in the horizontal direction of strata. It provides a basis for a reasonable setting of well type and well spacing parameters.
DOI: 10.21227/80tj-vs41
title: IEEEXtreme 15: Candy Shop

description: This dataset contains a total of 5582 submissions, with 0% correct solutions and 83% partial solutions. Link to the original challenge: https://csacademy.com/ieeextreme-practice/task/candy-shop/ See the included PDF document for details about the original challenge.
DOI: 10.6084/m9.figshare.14617235
title: S2_v1_0_20210422_11.xls from Full-scale pore size distribution features of uranium-bearing sandstone in the northwest of Xinjiang, China

description: As an important nuclear fuel, uranium in sandstone uranium deposits is mainly extracted by <i>in situ</i> leaching. The porosity of sandstone is one of the important indexes determining <i>in situ</i> leaching efficiency. Moreover, the microscopic pore size distribution (PSD) of the uranium-bearing layer has an important effect on porosity. It is necessary to feature the pore structure by various techniques because of the different pore types and sizes in the uranium layer. In this paper, combined with nitrogen gas adsorption, nuclear magnetic resonance techniques and scanning electron microscopy, the full-scale PSD features of uranium-bearing sandstone in the northwest of Xinjiang are effectively characterized. The results show that pores structure of uranium-bearing sandstone include dissolution pores (<i>d </i>≤ 50 nm), intergranular pores (50 nm &lt; <i>d</i> ≤ 200 µm) and microfractures. Intergranular pores of 60 nm and 1 µm are the significant contributors to pore volume. The effects of the pore volume of two-pore types (dissolution pores and intergranular pores) on the porosity of uranium-bearing sandstone are analysed. The results show that intergranular pores have the greater influence on the porosity and are positively correlated to the porosity. Dissolution pores have little effect on the porosity, but it is one of the key factors for improving uranium recovery. Moreover, the greater the difference of PSD between sandstones, the stronger the interlayer heterogeneity of uranium-bearing sandstone. This kind of interlayer heterogeneity leads to the change of permeability in the horizontal direction of strata. It provides a basis for a reasonable setting of well type and well spacing parameters.
DOI: 10.6084/m9.figshare.14617235.v1
title: S2_v1_0_20210422_11.xls from Full-scale pore size distribution features of uranium-bearing sandstone in the northwest of Xinjiang, China

description: As an important nuclear fuel, uranium in sandstone uranium deposits is mainly extracted by <i>in situ</i> leaching. The porosity of sandstone is one of the important indexes determining <i>in situ</i> leaching efficiency. Moreover, the microscopic pore size distribution (PSD) of the uranium-bearing layer has an important effect on porosity. It is necessary to feature the pore structure by various techniques because of the different pore types and sizes in the uranium layer. In this paper, combined with nitrogen gas adsorption, nuclear magnetic resonance techniques and scanning electron microscopy, the full-scale PSD features of uranium-bearing sandstone in the northwest of Xinjiang are effectively characterized. The results show that pores structure of uranium-bearing sandstone include dissolution pores (<i>d </i>≤ 50 nm), intergranular pores (50 nm &lt; <i>d</i> ≤ 200 µm) and microfractures. Intergranular pores of 60 nm and 1 µm are the significant contributors to pore volume. The effects of the pore volume of two-pore types (dissolution pores and intergranular pores) on the porosity of uranium-bearing sandstone are analysed. The results show that intergranular pores have the greater influence on the porosity and are positively correlated to the porosity. Dissolution pores have little effect on the porosity, but it is one of the key factors for improving uranium recovery. Moreover, the greater the difference of PSD between sandstones, the stronger the interlayer heterogeneity of uranium-bearing sandstone. This kind of interlayer heterogeneity leads to the change of permeability in the horizontal direction of strata. It provides a basis for a reasonable setting of well type and well spacing parameters.