cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5066/f7dv1j56
title: Louisiana Barrier Island Comprehensive Monitoring Program 2008 habitat map, Late Lafourche Delta Region

description: The Barrier Island Comprehensive Monitoring (BICM) program was developed by Louisianas Coastal Protection Restoration Authority (CPRA) and is implemented as a component of the System Wide Assessment and Monitoring (SWAMP) program. The program uses both historical data and contemporary data collections to assess and monitor changes in the aerial and subaqueous extent of islands, habitat types, sediment texture and geotechnical properties, environmental processes, and vegetation composition. Examples of BICM datasets include still and video aerial photography for documenting shoreline changes, shoreline positions, habitat mapping, land change analyses, light detection and ranging (lidar) surveys for topographic elevations, single-beam and swath bathymetry, and sediment grab samples. For more information about the BICM program, see Kindinger and others (2013). The U.S. Geological Survey, Wetland and Aquatic Research Center provides support to the BICM program through the development of habitat map products using aerial imagery and lidar elevation data and assessing change in habitats over time. These data provide a snapshot of barrier island habitats and can be combined with other past and/or future maps to monitor these valuable natural resources over time. The current effort of this habitat mapping program includes developing habitat maps for 2008 and 2015/16 for the following BICM regions: 1) West Chenier, 2) East Chenier; 3) Acadiana Bays (only Marsh Island); 4) Early Lafourche Delta; 5) Late Lafourche Delta; 6) Modern Delta (only Chaland Headland and Shell Island); and 7) Chandeleur Islands. Additionally, a habitat change analysis will be conducted for reaches mapped in 2005 by Fearnley et al. (2009) and 2015/2016. The BICM program has developed two habitat classification schemes which include a detailed 15-class habitat scheme and a general eight-class habitat scheme. The detailed scheme was developed specifically for this habitat mapping effort and builds off the general scheme used in previous BICM habitat mapping efforts (Fearnley and others, 2009). The additional classes developed in the detailed scheme are primarily used to further delineate various dune habitats, separate marsh and mangrove, and distinguish between beach and unvegetated barrier flat habitats. To ensure comparability between this effort and previous BICM map products, we have crosswalked the detailed classes to general habitat classes previously used by Fearnley and others (2009).
DOI: 10.5066/f7sj1jh0
title: Exposed Precambrian Bedrock in Part of Dickinson County, Michigan, and Marinette and Florence Counties, Wisconsin

description: The U.S. Geological Survey conducted a program of bedrock geologic mapping in much of the central and western upper peninsula of Michigan and parts of Wisconsin from the 1940s until the late 1990s. Geologic studies in this region are hampered by a scarcity of bedrock exposures because of a nearly continuous blanket of unconsolidated sediments resulting from glaciation of the region during the Pleistocene ice ages. The USGS mapping, done largely at a scale of 1:24,000, routinely recorded the location and extent of exposed bedrock to provide both an indication of where direct observations were made, and as a guide for future investigations to expedite location of observable rock exposures. The locations of outcrops were generally shown as colored or patterned overlays on printed geologic maps. Although those maps have been scanned and are available as PDF files, no further digital portrayal of the outcrops has been done. We have conducted a prototype study of digitizing and improving locational accuracy of the outcrop locations in parts of Dickinson County, Michigan, to form a data layer that can be used with other data layers in GIS applications.
DOI: 10.5066/f7sj1jwx
title: Minnesota Mine Shaft tracer data, Lion Creek Watershed near Empire, Colorado, July-November, 2017
DOI: 10.5281/zenodo.1211504
title: Impact of storm propagation speed on coastal flood hazard induced by offshore storms in the North Sea

description: This datasets include all numerical simulation results of the paper "Impact of storm propagation speed on coastal flood hazard induced by offshore storms in the North Sea".
DOI: 10.5281/zenodo.1211505
title: Impact of storm propagation speed on coastal flood hazard induced by offshore storms in the North Sea

description: This datasets include all numerical simulation results of the paper "Impact of storm propagation speed on coastal flood hazard induced by offshore storms in the North Sea".
DOI: 10.14469/hpc/4006
title: (M,S,S,S,S)-4. b3lyp+GD3BJ/6-311+G(d,p)/SCRF=chloroform, NMR, VCD, me axial ΔG=-3295.069849 ΔΔG = 20.4

description: Gaussian Calculation
DOI: 10.14469/hpc/4007
title: (M,S,S,S,S)-4. b3lyp+GD3BJ/6-311+G(d,p)/SCRF=chloroform, NMR, VCD me equatorial, azine atrop ΔG= -3295.061697 ΔΔG = 25.4

description: Gaussian Calculation
DOI: 10.14469/hpc/4008
title: (M,R,R,R,R)-4, m062x/6-311+G(d,p)/SCRF=chloroform, ORD @ 400nm 380nm 360nm 340nm 320nm 300nm

description: Gaussian Calculation
DOI: 10.14469/hpc/4009
title: (M,R,R,R,R)-4, m062x/6-311+G(d,p)/SCRF=chloroform, ORD @ 520nm 500nm 480nm 460nm 440nm 420nm

description: Gaussian Calculation
DOI: 10.14469/hpc/4010
title: (M,R,R,R,R)-4, m062x/6-311+G(d,p)/SCRF=chloroform, ORD @ 640nm 620nm 600nm 580nm 560nm 540nm

description: Gaussian Calculation
DOI: 10.15468/3hzkft
title: NDFF Unie van Bosgroepen

description: De Unie van Bosgroepen is de overkoepelende organisatie van de Bosgroepen. De Unie bundelt subsidie-aanvragen en is spreekbuis naar de rijksoverheid. De Unie coördineert tevens projecten die de Bosgroepen gezamenlijk uitvoeren, zoals automatisering, richtlijnen voor beheerplanning, kwaliteitsverbetering en certificering. 322/5000 The Union of Forest Groups is the umbrella organization of the Forest Groups. The Union bundles grant applications and is the mouthpiece to the national government. The Union also coordinates projects that the Forest Groups carry out together, such as automation, guidelines for management planning, quality improvement and certification. More than 1200 members are affiliated with the Forest Groups. These are private individuals, foundations, estates, abbeys, care institutions, nature conservation organizations, water supply companies and governments, such as water boards and municipalities. Together these members have more than 400,000 hectares of forest and nature. Positive observations without protocol Resolution of dataset available in 5 x 5 km. Higher resolution available via https://www.ndff.nl / serviceteamndff@natuurloket.nl Bosgroep Midden Nederland: 1,979 records (April 2018) Bosgroep Noordoost Nederland: 28 records (April 2018) Bosgroep Zuid Nederland: 0 records (April 2018)
DOI: 10.15468/b9buvc
title: NDFF City of Deventer

description: Deventer is a historic and pleasant city and municipality in the in the Salland region of the Dutch province of Overijssel, Netherlands. In 2017, Deventer had a population of 99,577. The city is largely situated on the east bank of the river IJssel, but also has a small part of its territory on the west bank. Positive observations without protocol Resolution of dataset available in 5 x 5 km. Higher resolution available via https://www.ndff.nl / serviceteamndff@natuurloket.nl 31,714 records (March 2018)
DOI: 10.15468/cqm6af
title: NDFF Delfland Water Authority

description: Delfland is one of our country's twenty-two water authorities. The area in which Delfland operates is bordered by the North Sea, the Nieuwe Waterweg and the Berkel en Rodenrijs line, Zoetermeer and Wassenaar. On an area of 41,000 hectares, about 1.4 million people live and work, and approximately 40,000 businesses are established. This makes the Delfland region one of the most densely populated and most highly industrialized areas of the Netherlands. The region is furthermore renowned for its intensive glasshouse horticulture. Dataset available via https://www.ndff.nl/english / serviceteamndff@natuurloket.nl Positive observations without protocol 218 records (April 2018)
DOI: 10.15468/cyfe7d
title: NDFF City of Breda

description: Breda is a city and municipality in the southern part of the Netherlands, located in the province of North Brabant. The name Breda derived from brede Aa ('wide Aa' or 'broad Aa') and refers to the confluence of the rivers Mark and Aa. Breda had a population of 183,456 in 2017. Positive observations without protocol Resolution of dataset available in 5 x 5 km. Higher resolution available via https://www.ndff.nl / serviceteamndff@natuurloket.nl 5,809 records (April 2018)
DOI: 10.5063/f11834nt
title: Bicknell's Thrush Point Count Surveys in Cordillera Septentrional, Dominican Republic, 2010

description: The winter range of Bicknell's Thrush (Catharus bicknelli), a globally Vulnerable Nearctic-Neotropical migratory songbird, is restricted to the Greater Antilles. Most birds occur on Hispaniola, where the species exhibits sexual habitat segregation, and loss of its preferred wet broadleaf habitats has been severe. Conservation of female-dominated habitats has been identified as a top priority. During 2010, we conducted standardized field surveys for Bicknell's Thrush in forests of the Dominican Republic's Cordillera Septentrional, an area of high importance for females. We used a generalized random tessellation stratified (GRTS) sampling design to allow for a spatially balanced probabilistic approach. For the GRTS selection process we divided our study area into 1 km2 blocks (n=1,100). We then evaluated each block in the order in which it was selected by GRTS and established survey points if the block: 1) contained enough forested areas to place at least 4 survey points 200 m apart and 2) was within 3 km of an access road or 1 km of a trail. We did not place survey points within blocks that we did not have permission to access. For logistical reasons, we occasionally placed 1 to 2 points in an adjacent block to create a full route of points. This resulted in 25 blocks containing 1 to 12 points.
DOI: 10.5066/f74t6hk7
title: Exotic invasive giant apple snails (Pomacea maculata) will depredate eggs of frog and toad species of the Southeastern United States

description: Frog eggs of three different species were presented to giant apple snails (Pomacea maculata) to determine if the snails will eat the eggs. There were four treatments: control-eggs in water only; control with lettuce-eggs in water and lettuce which was used as snail food; snail-eggs in water with snail; and snail with lettuce-eggs in water with snails and lettuce (as an alternative food for the snail). Eggs were counted at the start and end of the experiment, and if a egg hatched to a tadpole, the tadpoles were counted as well.
DOI: 10.5066/f7736q51
title: Land-water classification for selected sites in McFaddin NWR and J.D. Murphree WMA

description: Land-water data was derived from imagery acquired at 350 feet using unmanned aerial systems (UAS) for 6 separate study locations using the Ricoh GR II camera. Three sites are healthy marsh and three sites are degraded marshes. For each study site, ground control markers were established and surveyed in using Real Time Kinematic (RTK) survey equipment. The imagery collected has been processed to produce a land-water classification dataset for scientific research. The land-water data will not only quantify how much marsh is being affected, but the data will also provide a spatial aspect as to where these degrading marsh fragmentations are occurring. The land-water data will be correlated with other data such as salinity, prescribed burns, flooding frequency and flooding duration data to better understand what events may be causing marsh deterioration. With low resolution, vegetation types do not cause any troubling issues with classification but due to the high resolution of the imagery (1.18 inches/0.03 meters) there will be inherent noise that causes speckling throughout the classified image. With the image resolution at such a small Ground Sample Distance (GSD), the smallest of information will be visible. These small pieces of information that we call noise will be introduced into our image classification and will mostly come from vegetation shadows and some water saturation. In this study, we are attempting to identify hollows which are low areas or holes in the vegetation which may suggest a degradation of adjacent marsh. For our study analysis, a hollow is defined as an area that is .25m * .25m = 0.0625m2 (69 pixels) or greater. Any cluster of cells smaller than 69 pixels will be absorbed into the surrounding vegetation type. This method will help reduce noise and maintain confidence in the hollow identification.
DOI: 10.5281/zenodo.1212388
title: EFSA's compendium of botanicals

description: EFSA’s Compendium of Botanicals is a database of botanicals that are reported to contain naturally occurring substances of possible concern for human health when present in food. The compendium is not intended to conclude on the safety or non-safety of the listed botanical species but to help with the safety assessment of botanicals and botanical preparations intended for use in food, including supplements, by facilitating hazard identification. The compendium does not list all bioactive substances present in a given botanical and their potential health effects, nor does it flag botanicals or botanical substances of possible concern for animal health when used as feed or feed additives. However, where adverse effects reported on animal health were found in the literature, they are reported in the compendium. Information provided by the Compendium: The <strong>Botanical Species</strong>. The taxonomy database “the Plant List” was taken as a reference. If not found in this database, or where the scientific name of the botanical was not officially accepted (“unresolved”), ARSGRIN was used. If still unsuccessful, the International Plant Name Index was consulted. The <strong>Family</strong>. In many cases, botanicals from a given family contain similar groups of compounds. Therefore, knowing the family name may provide indications of the possible presence of similar compounds in other species not included in the compendium. The Plant List database was used as the main source of information. The<strong> Plant Part</strong> in which the compounds of concern were reported to be present, or for which adverse effect(s) was reported without any identification of substances of concern. The <strong>Preparation, </strong>including essential oils, linked to the presence of a substance of possible concern or an adverse effect. The <strong>Substances or chemical groups of concern</strong> when they were identified. This compendium is intended for hazard identification, whereas risk assessment would require additional information on the concentration of the substance of possible concern in the product on the market, as well as the level of exposure of the consumer to this substance. The <strong>Effect Description</strong> found in the scientific literature when they could not be associated to any of the compound(s) of concern. The toxicity of the compound(s) of concern will be characterized in a next phase of development of the compendium. The <strong>Reference</strong> retrieved from literature searches for the data given, and/or standard reference textbooks providing monographs or more general scientific information for the botanicals considered.
description: EU; XLS; data.collection@efsa.europa.eu
DOI: 10.5281/zenodo.1212426
title: Binary black-hole simulation SXS:BBH:0001

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.14469/hpc/4011
title: (M,S,S,S,S)-4. b3lyp+GD3BJ/6-311+G(d,p)/SCRF=chloroform, NMR, VCD, me axial azine atrop ΔG= -3295.067357 ΔΔG = 21.9

description: Gaussian Calculation
DOI: 10.5281/zenodo.1212572
title: Binary black-hole simulation SXS:BBH:0003

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.1212574
title: Binary black-hole simulation SXS:BBH:0004

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.1212580
title: Binary black-hole simulation SXS:BBH:0005

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.1212588
title: Binary black-hole simulation SXS:BBH:0006

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.1212597
title: Binary black-hole simulation SXS:BBH:0007

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.1212606
title: Binary black-hole simulation SXS:BBH:0008

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.1212614
title: Binary black-hole simulation SXS:BBH:0009

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.1212616
title: Binary black-hole simulation SXS:BBH:0010

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.1212619
title: Binary black-hole simulation SXS:BBH:0011

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.1212642
title: Binary black-hole simulation SXS:BBH:0012

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.1212646
title: Binary black-hole simulation SXS:BBH:0013

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.1212652
title: Binary black-hole simulation SXS:BBH:0014

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.1212660
title: Binary black-hole simulation SXS:BBH:0015

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.1212666
title: Binary black-hole simulation SXS:BBH:0016

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.1212668
title: Binary black-hole simulation SXS:BBH:0017

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.1212670
title: Binary black-hole simulation SXS:BBH:0018

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.1212673
title: Binary black-hole simulation SXS:BBH:0019

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.1212676
title: Binary black-hole simulation SXS:BBH:0020

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.1212678
title: Binary black-hole simulation SXS:BBH:0021

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.1212680
title: Binary black-hole simulation SXS:BBH:0022

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.1212682
title: Binary black-hole simulation SXS:BBH:0023

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.1212685
title: Binary black-hole simulation SXS:BBH:0024

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.1212690
title: Binary black-hole simulation SXS:BBH:0025

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.1212696
title: Binary black-hole simulation SXS:BBH:0026

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.1212698
title: Binary black-hole simulation SXS:BBH:0027

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.1212702
title: Binary black-hole simulation SXS:BBH:0028

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.1212706
title: Binary black-hole simulation SXS:BBH:0029

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.1212708
title: Binary black-hole simulation SXS:BBH:0030

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.1212711
title: Binary black-hole simulation SXS:BBH:0031

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.1212727
title: Binary black-hole simulation SXS:BBH:0034

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.14469/hpc/4013
title: HDA-2+4 mechanism, Reactant, trans + HCl, p=H HCl form, rotated -1268.876625

description: Gaussian Calculation
DOI: 10.5281/zenodo.1212739
title: Binary black-hole simulation SXS:BBH:0036

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.1212747
title: Binary black-hole simulation SXS:BBH:0038

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.1212749
title: Binary black-hole simulation SXS:BBH:0039

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.1212751
title: Binary black-hole simulation SXS:BBH:0040

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.1212757
title: Binary black-hole simulation SXS:BBH:0041

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.1212763
title: Binary black-hole simulation SXS:BBH:0043

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.1212765
title: Binary black-hole simulation SXS:BBH:0044

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.1212767
title: Binary black-hole simulation SXS:BBH:0045

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.1212769
title: Binary black-hole simulation SXS:BBH:0046

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.1212771
title: Binary black-hole simulation SXS:BBH:0047

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.1212773
title: Binary black-hole simulation SXS:BBH:0048

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.1212775
title: Binary black-hole simulation SXS:BBH:0049

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.1212777
title: Binary black-hole simulation SXS:BBH:0050

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.1212779
title: Binary black-hole simulation SXS:BBH:0051

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.1212781
title: Binary black-hole simulation SXS:BBH:0052

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.1212783
title: Binary black-hole simulation SXS:BBH:0053

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.1212793
title: Binary black-hole simulation SXS:BBH:0054

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.1212797
title: Binary black-hole simulation SXS:BBH:0055

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.1212799
title: Binary black-hole simulation SXS:BBH:0056

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.1212805
title: Binary black-hole simulation SXS:BBH:0057

description: Simulation of a black-hole binary system evolved by the SpEC code.
DOI: 10.5281/zenodo.1212822
title: Binary black-hole simulation SXS:BBH:0060

description: Simulation of a black-hole binary system evolved by the SpEC code.