cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.24582858
title: Artifact to Accompany "33 Years of Mathematicians and Software Engineers: A Case Study of Proof Assistant Ecosystems"

description: As technical computing software, such as MATLAB and SciPy, has gained popularity, ecosystems of interdependent software solutions and communities have formed around these technologies.The development and maintenance of these technical computing ecosystems requires expertise in both software engineering and the underlying technical domain. The inherently interdisciplinary nature of these ecosystems presents unique challenges and opportunities that shape software development practices.Proof assistants, a type of technical computing software, aid users in the creation of formal proofs. In order to examine the influence of the underlying technical domain --- mathematics --- on the development of proof assistant ecosystems, we mined participant activity data from the code repositories and social channels of three popular proof assistants: Lean, Coq, Isabelle. Despite having a shared technical domain, we found little cross-pollination between contributors to the proof assistants. Additionally, we found that most long-term developers focused solely on technical work and did not participate in official social channels. We also found that proof assistant developers specialized into technical subfields. However, the proportion of specialists varied between ecosystems. We did not find evidence that these specialties contributed to fractures within the ecosystems. We discuss the implications of these results on the long-term health and sustainability of proof assistant ecosystems.This artifact contains the scripts and dataset that support an MSR 2024 article.
DOI: 10.5281/zenodo.10557918
title: GRCh38 and EBV reference genome

description: The GRCh38 assembly of the human genome also includes a contig to siphon off reads corresponding to the Epstein-Barr virus sequence.
DOI: 10.5281/zenodo.10557919
title: GRCh38 and EBV reference genome

description: The GRCh38 assembly of the human genome also includes a contig to siphon off reads corresponding to the Epstein-Barr virus sequence.
DOI: 10.6084/m9.figshare.25050029
title: IntroUNET_data.tgz

description: Drosophila data for the IntroUNET project. The phased haplotype data, formatted for input into IntroUNET, are found in realDataNpzs, while IntroUNET's output is found in seg_preds.
DOI: 10.6084/m9.figshare.25050029.v1
title: IntroUNET_data.tgz

description: Drosophila data for the IntroUNET project. The phased haplotype data, formatted for input into IntroUNET, are found in realDataNpzs, while IntroUNET's output is found in seg_preds.
DOI: 10.25573/serc.25024448
title: Dataset: Accretion rates and carbon sequestration in Oregon salt marshes

description: <i>Blue Carbon</i> is the carbon captured and stored in coastal ecosystems, such as seagrass meadows, and salt marsh habitat. As part of an EPA study focused on ecosystem services of tidal wetlands, we quantified the carbon sequestration and accretion rates in salt marsh habitat in eight Oregon estuaries (Alsea, Coos, Coquille, Nestucca, Netarts, Salmon, Tillamook, and Yaquina). Carbon sequestration rates were quantified using Cs-137 radioisotope, combined with bulk density and carbon content. This EPA dataset will be incorporated into products of the PNW Blue Carbon Working group, including the <i>Pacific Northwest Blue Carbon Database</i> and synthesis reports and manuscripts.
DOI: 10.25573/serc.25024448.v1
title: Dataset: Accretion rates and carbon sequestration in Oregon salt marshes

description: <i>Blue Carbon</i> is the carbon captured and stored in coastal ecosystems, such as seagrass meadows, and salt marsh habitat. As part of an EPA study focused on ecosystem services of tidal wetlands, we quantified the carbon sequestration and accretion rates in salt marsh habitat in eight Oregon estuaries (Alsea, Coos, Coquille, Nestucca, Netarts, Salmon, Tillamook, and Yaquina). Carbon sequestration rates were quantified using Cs-137 radioisotope, combined with bulk density and carbon content. This EPA dataset will be incorporated into products of the PNW Blue Carbon Working group, including the <i>Pacific Northwest Blue Carbon Database</i> and synthesis reports and manuscripts.
DOI: 10.6084/m9.figshare.25050038
title: Barataria Bay Waves & Currents Data 2020-2021

description: Data from upward-facing acoustic Doppler current profilers and wave pressure transducers at two locations in Barataria Bay, Louisiana, during 2020 and 2021.
DOI: 10.6084/m9.figshare.25050038.v1
title: Barataria Bay Waves & Currents Data 2020-2021

description: Data from upward-facing acoustic Doppler current profilers and wave pressure transducers at two locations in Barataria Bay, Louisiana, during 2020 and 2021.
DOI: 10.5281/zenodo.10557961
title: FEATURE-SPECIFIC SKI ACCIDENTS IN SNOW PARKS (DOI: 10.1016/j.aap.2016.06.023)
DOI: 10.5281/zenodo.10557962
title: FEATURE-SPECIFIC SKI ACCIDENTS IN SNOW PARKS (DOI: 10.1016/j.aap.2016.06.023)
DOI: 10.6084/m9.figshare.24994973.v3
title: Pre-invasion assessment of potential invasive wood borers on North American tree species in Chinese sentinel gardens

description: Table S1 To maximize transparency and utility of the data, here we include the full record of wood-borers and the colonized plant hosts. Vitality corresponds to tree scores evaluated by standards in Table 2. The 28S and COI represent the partial sequences of large subunit ribosomal RNA gene and the partial sequences of mitochondrial cytochrome c oxidase subunit I gene. Tissues correspond to the specific tissue colonized by the sampled wood borers. The IncidenceID corresponds to the supplementary folder names of the insect's images and sequences.Data for the manuscript titled "Pre-invasion assessment of potential invasive wood borers on North American tree species in Chinese sentinel gardens"<br>
DOI: 10.34740/kaggle/dsv/7465916
title: Balochi Language to English Translation Dataset
DOI: 10.5066/p91kvun1
title: Delta log R total organic carbon estimates for the Tuscaloosa marine shale, U.S.A.

description: This dataset contains estimated total organic carbon (TOC) calculated using the delta log R (dlogR) method, developed by Passey and others (1990), within BasinMod modeling software for the Tuscaloosa marine shale (TMS) in southwestern Mississippi, U.S.A. BasinMod is a modeling software developed by Platte River Associates, Inc. Using version 2021-03-03 of the software, sonic and resistivity logs and a background TOC of 0.8 weight percent were used to calculate dlogR TOC in the TMS high resistivity zone (HRZ) after baselining these two log curves in a non-source rock interval within the TMS. Due to variable mineralogy between the upper and lower sections of the TMS, two baselines were selected to determine whether the position of the baseline affects dlogR TOC results: 1) an upper baseline interval that extends from the top of the TMS and is characterized by relatively low resistivity and limited resistivity variability; and 2) a lower baseline interval that begins at the base of the upper baseline interval and extends to the top of the HRZ and exhibits increasing resistivity, relative to the upper interval, that transitions to the higher values in the HRZ. The dlogR calculated TOC values from these two baselining methods show that using the lower baseline interval results in an improved comparison of measured TOC to calculated TOC.
DOI: 10.6084/m9.figshare.20522079
title: Data for Gut bacteria reflect the adaptation of Diestrammena japanica (Orthoptera: Rhaphidophoridae) to the cave

description:   Gut bacteria reflects the adaptation of <em>Diestrammena japanica</em> (Orthoptera: Rhaphidophoridae) to the cave
  Yiyi Dong1#, Qianquan Chen1#, Zheng Fang1, Qingshan Wu1, Lan Xiang2, Xiaojuan Niu1, Qiuping Liu1, Leitao Tan1, Qingbei Weng1,2*
 
The gut microbiota is essential for the nutrition, growth, and adaptation of the host. <em>Diestrammena japanica</em>, a scavenger that provides energy to the cave ecosystem, is a keystone species in the karst cave in China. It inhabits every region of the cave, regardless of the amount of light. However, its morphology is dependent on the intensity of light. Whether the gut bacteria reflect its adaptation to the cave environment remains unknown.
In this research, D. japanica was collected from the light region, weak light region, and dark region of three karst caves. The gut bacterial features of these individuals, including composition, diversity, potential metabolism function, and the co-occurrence network of their gut microbiota, were investigated based on 16S rRNA gene deep sequencing assay. The residues of amino acids in the ingluvies were also evaluated. In addition, we explored the contribution of gut bacteria to the cave adaptation of <em>D. japanica</em> from three various light zones.
Findings showed that gut bacteria were made up of 245 operational taxonomic units (OTUs) from nine phyla, with Firmicutes being the most common phylum. Although the composition and diversity of the gut bacterial community of <em>D. japanica</em> were not significantly different among the three light regions, bacterial groups may serve different functions for <em>D. japanica</em> in differing light strengths. <em>D. japanica</em> has a lower rate of metabolism in cave habitats than in light regions.
We infer that the majority of gut bacteria are likely engaged in nutrition and supplied <em>D. japanica</em> with essential amino acids. In addition, gut bacteria may play a role in adapting<em> D. japanica</em>'s body size. Unveiling the features of the gut bacterial community of <em>D. japanica </em>would shed light on exploring the roles of gut bacteria in adapting hosts to karst cave environments.
DOI: 10.6084/m9.figshare.20522079.v3
title: Data for Gut bacteria reflect the adaptation of Diestrammena japanica (Orthoptera: Rhaphidophoridae) to the cave

description:   Gut bacteria reflects the adaptation of <em>Diestrammena japanica</em> (Orthoptera: Rhaphidophoridae) to the cave
  Yiyi Dong1#, Qianquan Chen1#, Zheng Fang1, Qingshan Wu1, Lan Xiang2, Xiaojuan Niu1, Qiuping Liu1, Leitao Tan1, Qingbei Weng1,2*
 
The gut microbiota is essential for the nutrition, growth, and adaptation of the host. <em>Diestrammena japanica</em>, a scavenger that provides energy to the cave ecosystem, is a keystone species in the karst cave in China. It inhabits every region of the cave, regardless of the amount of light. However, its morphology is dependent on the intensity of light. Whether the gut bacteria reflect its adaptation to the cave environment remains unknown.
In this research, D. japanica was collected from the light region, weak light region, and dark region of three karst caves. The gut bacterial features of these individuals, including composition, diversity, potential metabolism function, and the co-occurrence network of their gut microbiota, were investigated based on 16S rRNA gene deep sequencing assay. The residues of amino acids in the ingluvies were also evaluated. In addition, we explored the contribution of gut bacteria to the cave adaptation of <em>D. japanica</em> from three various light zones.
Findings showed that gut bacteria were made up of 245 operational taxonomic units (OTUs) from nine phyla, with Firmicutes being the most common phylum. Although the composition and diversity of the gut bacterial community of <em>D. japanica</em> were not significantly different among the three light regions, bacterial groups may serve different functions for <em>D. japanica</em> in differing light strengths. <em>D. japanica</em> has a lower rate of metabolism in cave habitats than in light regions.
We infer that the majority of gut bacteria are likely engaged in nutrition and supplied <em>D. japanica</em> with essential amino acids. In addition, gut bacteria may play a role in adapting<em> D. japanica</em>'s body size. Unveiling the features of the gut bacterial community of <em>D. japanica </em>would shed light on exploring the roles of gut bacteria in adapting hosts to karst cave environments.
DOI: 10.6084/m9.figshare.20522079.v2
title: Data from Gut bacteria reflect the adaptation of Diestrammena japanica (Orthoptera: Rhaphidophoridae) to the cave

description:   Gut bacteria reflects the adaptation of <em>Diestrammena japanica</em> (Orthoptera: Rhaphidophoridae) to the cave
  Yiyi Dong1#, Qianquan Chen1#, Zheng Fang1, Qingshan Wu1, Lan Xiang2, Xiaojuan Niu1, Qiuping Liu1, Leitao Tan1, Qingbei Weng1,2*
 
The gut microbiota is essential for the nutrition, growth, and adaptation of the host. <em>Diestrammena japanica</em>, a scavenger that provides energy to the cave ecosystem, is a keystone species in the karst cave in China. It inhabits every region of the cave, regardless of the amount of light. However, its morphology is dependent on the intensity of light. Whether the gut bacteria reflect its adaptation to the cave environment remains unknown.
In this research, D. japanica was collected from the light region, weak light region, and dark region of three karst caves. The gut bacterial features of these individuals, including composition, diversity, potential metabolism function, and the co-occurrence network of their gut microbiota, were investigated based on 16S rRNA gene deep sequencing assay. The residues of amino acids in the ingluvies were also evaluated. In addition, we explored the contribution of gut bacteria to the cave adaptation of <em>D. japanica</em> from three various light zones.
Findings showed that gut bacteria were made up of 245 operational taxonomic units (OTUs) from nine phyla, with Firmicutes being the most common phylum. Although the composition and diversity of the gut bacterial community of <em>D. japanica</em> were not significantly different among the three light regions, bacterial groups may serve different functions for <em>D. japanica</em> in differing light strengths. <em>D. japanica</em> has a lower rate of metabolism in cave habitats than in light regions.
We infer that the majority of gut bacteria are likely engaged in nutrition and supplied <em>D. japanica</em> with essential amino acids. In addition, gut bacteria may play a role in adapting<em> D. japanica</em>'s body size. Unveiling the features of the gut bacterial community of <em>D. japanica </em>would shed light on exploring the roles of gut bacteria in adapting hosts to karst cave environments.
DOI: 10.60859/d6x1-mz41
title: NG00102
DOI: 10.6084/m9.figshare.25050152
title: WASHpsych Ivory Coast dataset

description: This is the WASHpsych Ivory Coast dataset.
DOI: 10.6084/m9.figshare.25050149
title: WASHpsych Nigeria dataset

description: This is the WASHpsych Nigeria dataset.
DOI: 10.5281/zenodo.10554712
title: Data from: Climate threats to coastal infrastructure and sustainable development outcomes

description: Files




File name
Description


<asset_type>_households.gpkg
 Shapefile where fields contain hazard exposure and household data.


Sundarbans_2015poly1.shp
 Sundarbans shapefile, to exclude from analysis.


household_counts.csv
 Total number of households per upazila, broken down into poorer, median, and wealthier groups.


 coastalArea_studyArea.gpkg
 Study area polygon.




Fields for <asset_type>_households.gpkg




Field name
Description
Unit


id_<ASSET>
Asset id
int


coastal__deltares__rp<RP>___<YEAR>
Coastal flooding for given return period and year according to Deltares flood maps.
m


coastal__aqueduct__rp<RP>__<YEAR>
Coastal flooding for given return period and year according to Aqueduct flood maps.
m


riverine__aqueduct__rp<RP>__<YEAR>_mean
Riverine flooding for given return period and year according to Aqueduct flood maps. Averaged over ensemble of models.
m


cyclone__max_gusts__rp<RP>__historical__hist
Maximum cyclone gusts for given return period under historical scenario. No future projections available.
mps


erosion_paszkowski____historical__hist


Historical erosion. Values [0, 7500] annual erosion, >7500 subannual erosion, [-7500, 0] annual accretion, <-7500 subannual accretion.

-


rural_wealth_Q1
Rural households in first wealth quintile with access to the asset
#households


urban_wealth_Q1
Urban households in first wealth quintile with access to the asset
#households


households
Total households with access to the asset
#households
description: Climate hazards pose increasing threats to development outcomes across the world’s coastal regions by impacting infrastructure service delivery. Using a high-resolution dataset of 8.2 million households in Bangladesh's coastal zone, we assess the extent to which infrastructure service disruptions, induced by flood, cyclone, and erosion hazards, can thwart progress towards the Sustainable Development Goals (SDGs). Results show that climate hazards potentially threaten infrastructure service access to all households, with the poorest being disproportionately threatened in 69% of coastal sub-districts. Targeting adaptation to these climatic threats in one-third (33%) of the most vulnerable areas could help to safeguard 50-85% of achieved progress towards SDG 3, 4, 7, 8, and 13 indicators. These findings illustrate the potential of geospatial climate risk analyses, which incorporate direct household exposure and essential service access. Such high-resolution analyses are becoming feasible even in data-scarce parts of the world, helping decision-makers target and prioritise pro-poor development.
DOI: 10.5281/zenodo.10554713
title: Data from: Climate threats to coastal infrastructure and sustainable development outcomes

description: Files




File name
Description


<asset_type>_households.gpkg
 Shapefile where fields contain hazard exposure and household data.


Sundarbans_2015poly1.shp
 Sundarbans shapefile, to exclude from analysis.


household_counts.csv
 Total number of households per upazila, broken down into poorer, median, and wealthier groups.


 coastalArea_studyArea.gpkg
 Study area polygon.




Fields for <asset_type>_households.gpkg




Field name
Description
Unit


id_<ASSET>
Asset id
int


coastal__deltares__rp<RP>___<YEAR>
Coastal flooding for given return period and year according to Deltares flood maps.
m


coastal__aqueduct__rp<RP>__<YEAR>
Coastal flooding for given return period and year according to Aqueduct flood maps.
m


riverine__aqueduct__rp<RP>__<YEAR>_mean
Riverine flooding for given return period and year according to Aqueduct flood maps. Averaged over ensemble of models.
m


cyclone__max_gusts__rp<RP>__historical__hist
Maximum cyclone gusts for given return period under historical scenario. No future projections available.
mps


erosion_paszkowski____historical__hist


Historical erosion. Values [0, 7500] annual erosion, >7500 subannual erosion, [-7500, 0] annual accretion, <-7500 subannual accretion.

-


rural_wealth_Q1
Rural households in first wealth quintile with access to the asset
#households


urban_wealth_Q1
Urban households in first wealth quintile with access to the asset
#households


households
Total households with access to the asset
#households
description: Climate hazards pose increasing threats to development outcomes across the world’s coastal regions by impacting infrastructure service delivery. Using a high-resolution dataset of 8.2 million households in Bangladesh's coastal zone, we assess the extent to which infrastructure service disruptions, induced by flood, cyclone, and erosion hazards, can thwart progress towards the Sustainable Development Goals (SDGs). Results show that climate hazards potentially threaten infrastructure service access to all households, with the poorest being disproportionately threatened in 69% of coastal sub-districts. Targeting adaptation to these climatic threats in one-third (33%) of the most vulnerable areas could help to safeguard 50-85% of achieved progress towards SDG 3, 4, 7, 8, and 13 indicators. These findings illustrate the potential of geospatial climate risk analyses, which incorporate direct household exposure and essential service access. Such high-resolution analyses are becoming feasible even in data-scarce parts of the world, helping decision-makers target and prioritise pro-poor development.
DOI: 10.5517/ccdc.csd.cc2fgbmw
title: CCDC 2248108: Experimental Crystal Structure Determination

description: Related Article: T. K. S. Fayaz, Hemanth Kumar Chanduluru, Puja Lal, Animesh Ghosh, Vladimir Chernyshev, Palash Sanphui|2024|CrystEngComm|26|517|doi:10.1039/D3CE01071F
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2g147x
title: CCDC 2265208: Experimental Crystal Structure Determination

description: Related Article: Samuel R. Pering, Hunaynah Abdulgafar, Madeleine Mudd, Keith Yendall, Mustafa Togay, Mark R.J. Elsegood|2024|Mat.Advs.|5|625|doi:10.1039/D3MA00589E
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2gp8gx
title: CCDC 2284559: Experimental Crystal Structure Determination

description: Related Article: Min Wang, Wenhao Sun, Kun Zhang, Zhonghua Zhang, Aobing Du, Shanmu Dong, Jinlei Zhang, Jing Liu, Xi Chen, Zhenfang Zhou, Fujun Li, Zhenjiang Li, Guicun Li, Guanglei Cui|2024|Energy Environ.Sci.|17|630|doi:10.1039/D3EE02450D
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.