cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.6378875
title: Revisiting reopened bugs in open source software systems

description: Reopened bugs can degrade the overall quality of a software system since they require unnecessary rework by developers. Moreover, reopened bugs also lead to a loss of trust in the end-users regarding the quality of the software. Thus, predicting bugs that might be reopened could be extremely helpful for software developers to avoid rework. Prior studies on reopened bug prediction focus only on three open source projects (i.e., Apache, Eclipse, and OpenOffice) to generate insights. We observe that one out of the three projects (i.e., Apache) has a data leak issue -- the bug status of \textit{reopened} was included as training data to predict reopened bugs. In addition, prior studies used an outdated prediction model pipeline (i.e., with old techniques for constructing a prediction model) to predict reopened bugs. Therefore, we revisit the reopened bugs study on a large scale dataset consisting of 47 projects tracked by JIRA using the modern techniques such as SMOTE, permutation importance together with 7 different machine learning models. We study the reopened bugs using a mixed methods approach (i.e., both quantitative and qualitative study). We find that: 1) After using an updated reopened bug prediction model pipeline, only 34\% projects give an acceptable performance with AUC $\geqslant$ 0.7. 2) There are four major reasons for a bug getting reopened, that is, technical (i.e., patch/integration issues), documentation, human (i.e., due to incorrect bug assessment), and reasons not shown in the bug reports. 3) In projects with an acceptable AUC, 94\% of the reopened bugs are due to patch issues (i.e., the usage of an incorrect patch) identified before bug reopening. Our study revisits reopened bugs and provides new insights into developer's bug reopening activities.<br>
DOI: 10.5281/zenodo.6378548
title: Supplementary Material for 'A typology of northwestern Bantu gender systems', published in Linguistics

description: documentation is provided in the materials
DOI: 10.5281/zenodo.6378547
title: Supplementary Material for 'A typology of northwestern Bantu gender systems', published in Linguistics

description: documentation is provided in the materials
DOI: 10.21233/z80g-hj33
title: Etang de Cheylade pollen dataset

description: Raw data for the Etang de Cheylade pollen dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.21233/7tgb-5505
title: Tobolsk region testate amoebae surface sample dataset

description: Raw data for the Tobolsk region testate amoebae surface sample dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.21233/c8bc-vc25
title: Zhaogongting testate amoebae surface sample dataset

description: Raw data for the Zhaogongting testate amoebae surface sample dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.21233/8syz-8z89
title: Urengoi-town testate amoebae surface sample dataset

description: Raw data for the Urengoi-town testate amoebae surface sample dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.21233/d4kg-d297
title: Amersfoort pollen dataset

description: Raw data for the Amersfoort pollen dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.21233/sr2p-7p84
title: Samara mire testate amoebae surface sample dataset

description: Raw data for the Samara mire testate amoebae surface sample dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.21233/ax2n-6f86
title: Lake Blanchard diatom surface sample dataset

description: Raw data for the Lake Blanchard diatom surface sample dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.21233/phb8-gn48
title: Gushantun testate amoebae surface sample dataset

description: Raw data for the Gushantun testate amoebae surface sample dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.21233/067k-ej63
title: Rohrmoos/Bayerstadl pollen dataset

description: Raw data for the Rohrmoos/Bayerstadl pollen dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.21233/q24g-aa35
title: Hemlock Reservoir diatom surface sample dataset

description: Raw data for the Hemlock Reservoir diatom surface sample dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.21233/9nnk-4r90
title: Samara mire testate amoebae surface sample dataset

description: Raw data for the Samara mire testate amoebae surface sample dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.21233/zafz-rq18
title: Lake Kimili pollen dataset

description: Raw data for the Lake Kimili pollen dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.21233/87x3-1t53
title: Withee Pond diatom surface sample dataset

description: Raw data for the Withee Pond diatom surface sample dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.21233/3d4b-tv07
title: Mangui testate amoebae surface sample dataset

description: Raw data for the Mangui testate amoebae surface sample dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.6084/m9.figshare.19407143
title: Untitled Item

description: Data set utilized in research reported in "How elecgtromagnetics and climate can influence gender inequality"
DOI: 10.6084/m9.figshare.19407143.v1
title: Untitled Item

description: Data set utilized in research reported in "How elecgtromagnetics and climate can influence gender inequality"
DOI: 10.21233/49am-9567
title: Velsen Vormenhal pollen dataset

description: Raw data for the Velsen Vormenhal pollen dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.21233/gmza-m975
title: Pleasant Lake (Ox) diatom surface sample dataset

description: Raw data for the Pleasant Lake (Ox) diatom surface sample dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.21233/ynwf-4p84
title: Tangbei testate amoebae surface sample dataset

description: Raw data for the Tangbei testate amoebae surface sample dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.21233/g397-8276
title: Tanghongling testate amoebae surface sample dataset

description: Raw data for the Tanghongling testate amoebae surface sample dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.21233/fcg4-9e58
title: Tangbei testate amoebae surface sample dataset

description: Raw data for the Tangbei testate amoebae surface sample dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.21233/4n9t-d105
title: TangbeiB testate amoebae surface sample dataset

description: Raw data for the TangbeiB testate amoebae surface sample dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.5281/zenodo.6380942
title: Chimeric Virus Raw Data

description: Raw data for chimeric virus experiments for doctoral dissertation.
DOI: 10.5281/zenodo.6380941
title: Chimeric Virus Raw Data

description: Raw data for chimeric virus experiments for doctoral dissertation.
DOI: 10.34943/dbe0eac6-8af4-48d7-9118-c3e84c4498d9
title: Burrard Inlet Hydrophone Deployed 2020-10-22

description: The Ocean Sonics icListen HF Hydrophone 1951 was deployed on 2020-10-22 at Burrard Inlet. Burrard Inlet is a coastal fjord in southwestern British Columbia. This device is a Hydrophone. Hydrophones are devices containing transducers that convert underwater sound waves into electrical signals. They are acoustic instruments that can process data while they are being collected to produce calibrated waveform data. Hydrophones are typically used to study vocalizations of marine mammals, ship traffic and ambient noise. It was deployed on a fixed platform. Data from this deployment were archived and made available through Ocean Networks Canada's Oceans 3.0 digital infrastructure, with quality assurance and derived data products following established practices.
DOI: 10.21233/397z-4n04
title: TangbeiB testate amoebae surface sample dataset

description: Raw data for the TangbeiB testate amoebae surface sample dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.21233/axgf-1t30
title: Zhaogongting testate amoebae surface sample dataset

description: Raw data for the Zhaogongting testate amoebae surface sample dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.21233/dp8r-vs59
title: Hani testate amoebae surface sample dataset

description: Raw data for the Hani testate amoebae surface sample dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.21233/c5n5-pg87
title: Bog Pond diatom surface sample dataset

description: Raw data for the Bog Pond diatom surface sample dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.21233/9xej-j592
title: Nanwenghe testate amoebae surface sample dataset

description: Raw data for the Nanwenghe testate amoebae surface sample dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.21233/byjz-w452
title: Onnen pollen dataset

description: Raw data for the Onnen pollen dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.21233/qryh-9t56
title: Gaodi testate amoebae surface sample dataset

description: Raw data for the Gaodi testate amoebae surface sample dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.21233/vyd4-fw93
title: Steverson Lake diatom surface sample dataset

description: Raw data for the Steverson Lake diatom surface sample dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.21233/j2ay-t532
title: Den Osse pollen dataset

description: Raw data for the Den Osse pollen dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.21233/evtd-6c31
title: Kinneret pollen dataset

description: Raw data for the Kinneret pollen dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.21233/x4sc-gm47
title: Mukhrino testate amoebae surface sample dataset

description: Raw data for the Mukhrino testate amoebae surface sample dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.21233/j491-mk33
title: Gaodi testate amoebae surface sample dataset

description: Raw data for the Gaodi testate amoebae surface sample dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.21233/r6pb-p241
title: Surgut region testate amoebae surface sample dataset

description: Raw data for the Surgut region testate amoebae surface sample dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.21233/yk32-j083
title: Gushantun testate amoebae surface sample dataset

description: Raw data for the Gushantun testate amoebae surface sample dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.21233/120s-te76
title: Vinokurova village2 testate amoebae surface sample dataset

description: Raw data for the Vinokurova village2 testate amoebae surface sample dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.21233/6m1q-bg42
title: Nanwenghe testate amoebae surface sample dataset

description: Raw data for the Nanwenghe testate amoebae surface sample dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.18739/a2n87313m
title: Alexandrium catenella planktonic cell distribution in the Alaskan Arctic (2018-2019)

description: During a time of unprecedented ecological change in the Arctic, harmful algal blooms have become an issue of increasing concern. Alexandrium catenella (A. catenella) is a dinoflagellate phytoplankton species which produces toxins known to cause paralytic shellfish poisoning (PSP), inducing sickness in people and marine animals that consume contaminated fish or shellfish. This species is found globally, but the extent and timing of A. catenella blooms in Arctic waters is still being described. This dataset (Alexandrium_AlaskanArctic_WholeCell_2018_2019.csv) includes measurements of Alexandrium catenella cell abundance in water sampled during shipboard surveys in the Northern Bering Sea and Chukchi Sea in late summer of 2018 and 2019 (see methods section for survey details). Water was collected through conductivity, temperature, and depth (CTD) casts as well as from shipboard underway seawater systems, and cell abundances have been paired with concurrent temperature and salinity measurements.
DOI: 10.18739/a2hh6c70z
title: Alexandrium catenella resting cyst distribution in the Alaskan Arctic (2018-2019)

description: During a time of unprecedented ecological change in the Arctic, harmful algal blooms have become an issue of increasing concern. Alexandrium catenella is a dinoflagellate phytoplankton species which produces toxins known to cause paralytic shellfish poisoning (PSP), inducing sickness in people and marine animals that consume contaminated fish or shellfish. This species is found globally, but its extent in Arctic waters is still being described. While blooms generally occur in the upper water column, the life cycle of Alexandrium also includes a resting benthic stage known as a cyst; the distribution of these resting cysts can be used to understand bloom dynamics and even predict future bloom scenarios. This dataset (Alexandrium_AlaskanArctic_Cysts_2018_2019.csv) includes measurements of Alexandrium catenella resting cyst abundance in sediments collected during shipboard surveys in the Northern Bering Sea, Chukchi Sea, and Beaufort Shelf in 2018 and 2019 (see methods section for survey details). Additional species quantities are included at a subset of stations.
DOI: 10.21233/dcyf-gj82
title: Walker Lake diatom surface sample dataset

description: Raw data for the Walker Lake diatom surface sample dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.21233/8m42-4e28
title: Bültsee pollen dataset

description: Raw data for the Bültsee pollen dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.21233/h1va-qm80
title: Lichtmis pollen dataset

description: Raw data for the Lichtmis pollen dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.21233/5j0g-8y40
title: Biogradsko Forest Hollow #1 macrocharcoal dataset

description: Raw data for the Biogradsko Forest Hollow #1 macrocharcoal dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.21233/4457-0r84
title: Lake Banyoles pollen dataset

description: Raw data for the Lake Banyoles pollen dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.21233/1c8g-jz78
title: Gaodi testate amoebae surface sample dataset

description: Raw data for the Gaodi testate amoebae surface sample dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.21233/skry-qj94
title: Urengoi-town testate amoebae surface sample dataset

description: Raw data for the Urengoi-town testate amoebae surface sample dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.21233/f279-qx75
title: Stoner Lake diatom surface sample dataset

description: Raw data for the Stoner Lake diatom surface sample dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.21233/zmbw-tq13
title: Mukhrino testate amoebae surface sample dataset

description: Raw data for the Mukhrino testate amoebae surface sample dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.18739/a24b2x60g
title: Ground temperatures for Eastern Baffin Island, Canada (2018-2019)

description: Rapid warming of the Arctic is promoting an expansion of shrubs and consequently, a greener land surface. This greening of the Arctic land surface may cause many feedbacks, including a potential acceleration of carbon release through permafrost thaw. Permafrost thaw is triggered by warmer ground temperatures that can occur when expanding shrubs trap snow which acts as a blanket and insulates the ground surface from cold air. We collected this dataset of 10 centimeter (cm) ground temperatures at 22 study locations throughout eastern Baffin Island, Canada to better understand the relationship between a greener Arctic land surface and warming ground temperatures. Temperatures were collected from approximately 2018-07-21 to 2019-08-21 at hourly or every four-hour intervals with Thermochron iButtons (DS1925L or DS1922L, Maxim Integrated Products, accuracy ±0.0625°Celsius (C) or ±0.5°C, respectively, from −40°C to +85°C).
DOI: 10.18739/a20k26c5m
title: Shotgun metagenomes of wet tundra soils across the Arctic Coastal Plain, Alaska April 2018

description: This dataset includes 64 shotgun metagenomes (Illumina PE150) generated from three depths (5-10 centimeters (cm), 10-25 cm, and 30-35cm, when available) of three replicate soil cores from eight locations in the Arctic Coastal Plain, ranging from coastal sites near Utqiagvik to inland sites at Ivotuk and Toolik Lake Field Station. These sequences support a study of biological chlorine cycling in the Arctic and its influence on greenhouse gas production. Microbes that can decompose chlorinated organic compounds were once considered relevant only in areas contaminated with pesticides and organic solvents. However, biological chlorine cycling is proving to be widespread in natural environments. Previous studies of biological chlorine cycling were mostly limited to forested ecosystems. This project was the first to demonstrate the importance of the production and degradation of chlorinated organic compounds in Arctic soils. Furthermore, there was little information about the linkages between chlorine cycling and other important ecosystem processes, such as production of carbon dioxide and methane from soils. Species in the genus Dehalococcoides are highly specialized, using hydrogen, acetate, vitamin B12-like compounds, and organic chlorine produced by the surrounding community. We studied which neighbors might produce these essential resources for Dehalococcoides species. We found that Dehalococcoides species are ubiquitous across the Arctic Coastal Plain and are closely associated with a network of microbes that produce or consume hydrogen or acetate, including the most abundant anaerobic bacteria and methanogenic archaea. We also found organic chlorine and microbes that can produce these compounds throughout the study area. Therefore, Dehalococcoides could control the balance between carbon dioxide and methane (a more potent greenhouse gas) when suitable organic chlorine compounds are available to drive hydrogen and acetate uptake, making them unavailable for methane production.
DOI: 10.18739/a2vt1gr07
title: Age-depth data and chemistry from a shallow firn core collected in Southwest Greenland, 2018

description: This dataset contains age-depth information for one 16 meter (m) shallow core collected in Southwest Greenland in 2018. The dataset also includes chemistry and isotope measurements. The dating was done by matching up the isotope measurements with previous data (see methods). Density and ice layer in the core was measured in the field and is published in Arctic Data Center dataset (doi:10.18739/A2VH5CK05). During transportation from the field to the laboratory parts of the core were compacted and or damaged resulting in crumbled pieces. Due to these damages to parts of the core, the total thickness of the laboratory-measured core was 1.8 m shorter than the total thickness measured in the field. The depths reported in this dataset have been adjusted to match the depth scale of the stratigraphy data set. Metadata about the core Core length 18 m Collection year: 2018 Site name according to Rennermalm et al., 2021, J. Glaciol.: Core 8 Dates the core was drilled: 19-20 May 2018 Site latitude in degrees north: 66.98269 Site latitude in degrees east (i.e. negative values is degrees west): -45.04649 Elevation recorded on handheld GPS in the field: 2266 m a.s.l. Elevation derived from Polar Geospatial Center's ArcticDEM adjusted to mean sea level, see more info in Rennermalm et al. 2021: 2254 m a.s.l. Associated dataset: Density and ice layers for Core 8 is found at the Arctic Data Center dataset (doi:10.18739/A2VH5CK05). References: Rennermalm, Å. K., Hock, R., Covi, F., Xiao, J., Corti, G., Kingslake, J., Leidman S. L., Miege, C., MacFerrin, M., Machguth, H., Osterberg, E., Kameda, T., McConnell. J. 2021. Shallow firn cores 1989 - 2019 in southwest Greenland’s percolation zone reveal decreasing density and ice layer volume after 2012. Journal of Glaciology, 1-12, https://doi.org/10.1017/jog.2021.102
DOI: 10.18739/a2r20rx78
title: Chlorine X-ray absorption near-edge spectroscopy (XANES) for soils of the Arctic Coastal Plain, Alaska 2019

description: This dataset contains images of spectra produced with K-edge chlorine X-ray absorption near-edge spectroscopy (XANES) on soil samples collected from a coastal-inland transect along the Arctic Coastal Plain of northern Alaska. These data support a study of biological chlorine cycling in the Arctic and its influence on greenhouse gas production. Microbes that can decompose chlorinated organic compounds were once considered relevant only in areas contaminated with pesticides and organic solvents. However, biological chlorine cycling is proving to be widespread in natural environments. Previous studies of biological chlorine cycling were mostly limited to forested ecosystems. This project was the first to demonstrate the importance of the production and degradation of chlorinated organic compounds in Arctic soils. Furthermore, there was little information about the linkages between chlorine cycling and other important ecosystem processes, such as production of carbon dioxide and methane from soils. Species in the genus Dehalococcoides are highly specialized, using hydrogen, acetate, vitamin B12-like compounds, and organic chlorine produced by the surrounding community. We studied which neighbors might produce these essential resources for Dehalococcoides species. We found that Dehalococcoides species are ubiquitous across the Arctic Coastal Plain and are closely associated with a network of microbes that produce or consume hydrogen or acetate, including the most abundant anaerobic bacteria and methanogenic archaea. We also found organic chlorine and microbes that can produce these compounds throughout the study area. Therefore, Dehalococcoides could control the balance between carbon dioxide and methane (a more potent greenhouse gas) when suitable organic chlorine compounds are available to drive hydrogen and acetate uptake, making them unavailable for methane production.
DOI: 10.21233/xx47-py25
title: Bayandai boggy testate amoebae surface sample dataset

description: Raw data for the Bayandai boggy testate amoebae surface sample dataset obtained from the Neotoma Paleoecology Database.
DOI: 10.21233/gh5r-2443
title: Bakchar mire testate amoebae surface sample dataset

description: Raw data for the Bakchar mire testate amoebae surface sample dataset obtained from the Neotoma Paleoecology Database.